Tuesday, May 29, 2012

Plea for Help in the U.K.


This comment was left on a recent post on this blog.  It is a plea for help from a pregnant women in the U.K.

I am only going to address one aspect of her concerns, the one I find most disturbing; I hope others will step up and address some of the rest of her concerns.
Please please please, can someone help me. I am 10 weeks pregnant and currently have a BMI of 35.  
Firstly, I have suffered with severe sickness since 5 weeks and doctor said it was ok as I 'could do with losing some weight' and refused to give me medications, and now I have had my first midwife appointment today and was told that more than 50 percent of maternal deaths in pregnancy and childbirth are obese mothers and that I will have to have special monitoring and won't be allowed to have a natural birth at the birth centre and will have to be under consultant care and be constantly monitored throughout labour (meaning no water birth, no moving around, no getting into positive positions to birth).  
I am so scared and disappointed, I feel like I am an unfit mother already and feel that the drs think I do not care about the health of my unborn baby. Now I know that this will not go down well with some people but I am considering a termination so that I can lose more weight before carrying a child (I have currently lost 70 pounds). 
I came across this blog and I am aware that you are based in the US and I am in the UK so some things are different...for instance I can't actually choose a provider and am stuck with who I have :(...but please, any advice would be so appreciated. Both myself and my partner are concerned and do not know what to do. 
There are so many things to cover here, it's hard to know where to start.  Please comfort and reassure this woman that she CAN do this.  She needs to hear from many people, not just me.  Please leave some encouraging comments at the end of this post.*

In the meantime, here is my response.  First, dear Reader, please don't terminate this pregnancy over these scare tactics or your fears.  Chances are that everything will be okay.  Many MANY women with a BMI well over 35 have had healthy pregnancies and babies.  My BMI is 48, far over yours, and I had 4 healthy pregnancies and babies, and am none the worse for wear for it. I know so many women your size and far larger who have had healthy happy babies.  You can read some of their birth stories here and here.

No, no one can promise you with 100% certainty that you and this baby will be fine, but the odds are certainly in your favor, "obese" or not. Most obese women have healthy babies; some do have complications like GD or high blood pressure, but even then, most of the time, these conditions are able to be treated and everyone is still fine.  So don't panic over the scare tactics they are giving you.

To be fair, the doctors and midwives are trying to do what they think is their job, to apprise you of possible risks associated with "obesity" and pregnancy, but the problem is that they have gone so far overboard in stating these that they are frightening women unduly, making them think that almost no women of size have healthy pregnancies or babies, when in fact, most do.

In some cases, care providers lay on the scare tactics so strongly that they bully women into weight loss surgery, risky diets, over-intervention, and even terminating the pregnancy.  That is NOT good health care, that's medical bullying. And for God's sake, this poor woman has already lost 70 lbs., but despite the fact that she followed typical medical advice to lower her BMI before pregnancy, she is still being punished and scared half to death.  Where is the justice in that?

Yes, there are some risks associated with pregnancy in obese women, but NO, the answer is not in scaring women into terminating an established pregnancy until they reach a "normal" BMI.

Shame on these providers for laying the scare tactics on so strongly that someone would even consider terminating a pregnancy simply because of their weight.

Yes, among those rare women who have died during pregnancy or birth, obese women are overrepresented somewhat.  That does NOT mean that 50% of obese women who are pregnant die during pregnancy─that's a misunderstanding of what the care providers were trying to say. Death is an extremely rare occurrence for childbearing women in the developed world, and although very high BMI women are somewhat overrepresented in that group, the actual numerical risk of it happening to any one obese woman is quite low.

And the reason why fat women do die during pregnancy or birth boils down to three main causes, some of which is preventable:
  • Complications from general anesthesia during a cesarean
  • Complications from hypertensive disorders (high blood pressure and resulting disorders) in pregnancy
  • Blood clots (usually in conjunction with cesareans)
So to lower the risk for these problems, consider the following:
  • Don't let them push you into a cesarean you don't need. If a cesarean is required at some point, make sure they are prepared to use an epidural or spinal block instead of general anesthesia. Have an anesthesia consult ahead of time to be sure they have the equipment needed on hand if it were needed
  • Make sure you are monitoring your blood pressure carefully (you can get a home BP monitor if your readings are questionable at all), make sure they use the correct-sized BP cuff so that that readings are accurate, and get regular exercise and have great nutrition to lower your risk for developing gestational diabetes or blood pressure issues 
  • Regular exercise also lowers the risk for a blood clot during pregnancy; for certain people, low-dose aspirin therapy (only under the supervision of a care provider) is sometimes advised. If you have a cesarean, discuss with your provider the use (and proper dosage) of blood thinners, and be sure to move your legs around and walk as early as you can tolerate after the surgery. There are also special wraps and cuffs that can help reduce your chances of a blood clot after a cesarean; make sure to request these if you have a cesarean, and note any increase in shortness-of-breath to your providers
If this woman were in the U.S., I'd tell her to change care providers ASAP because it's difficult to overcome a really deep-set provider bias about obesity in just a few months, and it often influences the care a high-BMI mother receives.  However, I'm not sure what your options are for alternatives in the U.K.

There are, of course, private midwives that you could hire from outside the NHS system, and it seems to me like this would be well worth the money to do if you can manage it.  I bet we could find a private midwife who would take you on as a client and who would work with you to find a way to make it financially feasible.  I know there have been women of size who have had great out-of-hospital births in the U.K. with private midwives.

But if that's absolutely not an option, then you will have to work within the system, and the way to do that is to push back against the care providers who are giving you a hard time.  I'm hoping some of my U.K. readers will pop in and leave some suggestions about how to do that.

At the very least, one of the best things you can do is to find a Pregnancy Buddy, an advocate familiar with size-friendly care practices, who will come with you to appointments and help you speak up for quality care and question fat-phobic practices.  A doula who really "gets" weight stigma and has a Health At Every Size approach could be a great help for you in advocating for more size-friendly care.

Best wishes to you, and I sincerely hope you will not let your fears (and the scare tactics of the providers) keep you from enjoying this pregnancy and this baby.  Be as healthy as you can in your habits without obsessing over them, find a Pregnancy Buddy or Size-Friendly Doula to help you speak up for yourself, and don't be afraid to push back against the bias of your providers and even report them to their superiors if necessary.

Pregnancy is one of the best times to learn how to advocate for yourself, your baby, and your needs (whatever size you are), and you deserve to have loving, respectful care, regardless of your BMI or whether you lose enough weight to fit into their narrow definition of "normal".  Start demanding that care now, and don't settle for second-best.  You and your baby deserve no less.


*Please keep your comments civil and kind and aimed towards helping this woman's specific situation or about commenting on weight-biased scare tactics, rather than about pushing a particular point of view on abortion. This is not a forum for abortion debates, and I will be vetting comments before I publish them.  Please stay kind and helpful in your words.  Thank you.

Wednesday, May 23, 2012

A 50-75% Chance of "Needing" a Cesarean?

Another gem from My OB Said What?!?
“You Have A 50-75% Chance Of Needing A Cesarean Section Next Time…” 
“You have a 50-75% chance of needing a cesarean section next time, because you are short and overweight.” 
– Perinatologist to mother during preconception meeting...after the mother had already had a successful vaginal birth
This is how many doctors perceive us because of our size (both height and weight).  They simply conclude that there is virtually no way for us to birth a baby vaginally, never considering that their own biases around size and their common interventions with short/fat women (inducing early, having a low threshold for surgery) influences these outcomes.

The kicker here is that this woman has already had a vaginal birth, and despite difficult conditions too.  Once you've had a vaginal birth, your chances of having another is greatly increased....yet in his eyes, this doesn't really count at all if you are fat and short.

Older women get the same kind of grief.  And so do VBAC moms.  And it's all nonsense, frankly.

Yes, there is some research showing higher c-section rates in fat women, older women, short women, blah blah blah.  But RARELY do they consider whether it's really that "risk factor" or instead the way they manage the labors of these women and the fear they have around these risk factors that increases the cesarean rate more than the risk factor itself.

In obstetric research,the problem is always assumed to be with the woman.  Not the care provider's management or perceptions of risk, but somehow the fault of the woman herself (or her obesity, or her age, or her shortness, yadda yadda). I almost never see studies raise the question of provider perception or management at all.

It's time for care providers to recognize that their management of women is an integral part of high c-section rates in certain groups...not the only factor, but a much stronger factor than is generally acknowledged.

I have a dear online friend who is currently having a difficult time finding a provider who will support her for a VBAC.  This despite the fact that she has already had TWO VBACs.  It doesn't matter; they just see that she's fat and had a prior cesarean.

This is really pissing me off. Especially since I'm all of the above.  I'm short, "morbidly obese", old, and a VBAC mom.  Most doctors would look at me and tell me I had NO chance of having a vaginal birth because of these four risk factors....and yet I did.  Twice.

Risk factors are not absolute sentences. MOST women, even with risk factors, can birth just fine, if they can just get care providers to "let" them have an adequate chance at it.

It's long past time for care providers (and researchers) to recognize that the way providers manage and perceive women with risk factors has a lot to do with the outcomes associated with them.




Saturday, May 19, 2012

Birth Story Video: Jennifer's Waterbirth

Here is the birth story and wedding/birth video of a plus-sized mama I thought readers might enjoy.  It's not a short video (about 6 minutes) but it's well worth watching!

Below is the mother's story (which includes 4 previous miscarriages) and what she wants other women of size to know about pregnancy and birth.
My name is Jennifer. I live in southern Oregon and am a midwife apprentice. I have attended many births and have caught 4 babies under supervision. Of the many births I have attended, a good handful have been to plus-size mommas. 
Two off the top of my head were between 300-400 lbs. Both mommas had very healthy uneventful pregnancies and wonderful easy labors, and both mommas delivered in water at home. Water is great for plus-size mommas because it allows you to move more easily into different positions.  
I myself am a plus size momma. I am 5'6" and started my pregnancy at 232 lbs., about size 18. I finished my pregnancy at 276. I know doctors like to tell you to only gain 15 lbs. if you're "obese" but that's one of many reasons I didn't choose a doctor! I am a firm believer that as long as you gain your weight on healthy food then you gain what you need, and restricting food can cause issues in pregnancy. Nutrition is key in pregnancy, especially protein!   
I had a wonderful very healthy pregnancy with a midwife, and gave birth to a beautiful baby at home on Christmas eve.  A baby girl,  9 lbs. 12 ounces, 20.5 inches. 
Being plus size and pregnant is a challenge but I think it's because we set up obstacles in our minds. Will I look pregnant, how much weight will I gain, will I be able to handle the physical demands of labor, will I be bullied into tests and procedures because I'm overweight? 
Remember that you are a strong, intelligent, beautiful woman who can birth a healthy baby, regardless of your weight. If you aren't comfortable being your own advocate, then hire a doula! Get educated, know your options, and don't forget to celebrate this beautiful rite of passage!

Tuesday, May 8, 2012

Fetal Over-testing in the Last Trimester Because of Fat?

This is a comment that was left on my blog recently, in the "Will I Feel My Baby Move If I'm Fat?" post. It's a new twist on the old wives' tale (more like old OB's tale) that fat women supposedly have too much abdominal fat to feel their babies move in pregnancy.
"I am 29 weeks today and a nurse practitioner I saw last week told me I have to have nonstress tests 2X week because of my weight. She claims I won't feel the baby's movements so they need to monitor them. Has anyone else been told this? I'm a very busy woman and incredibly stressed about having to go to the hospital 2X week, plus she says I have to do an ultrasound monthly, plus do my weekly doctors appts. Advice would be great because I don't want to do this but I feel I have to so the baby will be monitored appropriately."
Seriously?  A non-stress test 2x per week from 29 weeks on because a fat woman supposedly won't feel her baby's movements? 

This is pure and unadulterated bullsh*t.  Women of size feel their babies move perfectly well, thank you. There's no fat between the baby and the inside of the uterus; we feel every roll and punch and kick.

Nearly every woman of size I've ever spoken to has said that yes, they feel their babies move just fine; I certainly did. Yet this myth about fat "preventing" women from feeling their babies still persists. That it persists among the public is disappointing but attributable to ignorance; that it persists among some healthcare providers is nothing short of appalling.

But the second question here is whether fat women are so incredibly high-risk from "obesity" alone that we have to be monitored 2x/week from the middle of the second trimester on?  Yet other women only start monitoring around week 41? Oh puleeeze.

Even most diabetics aren't monitored this aggressively. Insulin-dependent diabetics usually start fetal surveillance around 32 weeks. For gestational diabetics not on insulin, the need for fetal surveillance is widely debated; if used at all, it is usually introduced around the end of pregnancy.  Only diabetics with severe comorbid complications like vascular issues or kidney disease usually benefit from this kind of aggressive monitoring starting in the late second trimester. Are the providers in the above scenario seriously comparing the risk of an uncomplicated pregnancy in an obese woman to that of a brittle type 1 insulin-dependent diabetic with pre-existing kidney damage?

The only time I can see this kind of over-the-top monitoring being truly needed in a woman of size would be in someone who has experienced serious major poor outcomes in a previous pregnancy, or who is experiencing major complications in a current pregnancy (HELLP syndrome, hypertensive disorders, prior stillbirth, brittle or uncontrolled diabetes, diabetes with comorbidities, IUGR, or various other serious complications). The commenter didn't mention any such comorbidities.

Now, the argument some docs make for increased fetal surveillance in "obese" women is that some studies have shown an increase in the risk for stillbirth in these women.  However, not all studies have shown an increase in the risk of stillbirth in obese women. Moreover, there is no data to prove that aggressive monitoring in obese women lowers the risk for stillbirth.  

It is questionable whether obesity itself, without concurrent complications like HELLP or uncontrolled diabetes, necessitates this kind of frequent monitoring.  It is telling that most care providers do not require it. The American College of Obstetricians and Gynecologists (ACOG) does not currently recommend increased antepartum surveillance in the last trimester for obese women.  Nor does the Society of Obstetricians and Gynaecologists of Canada (SOGC).  And research suggests that obese women don't have more poor results on non-stress tests.

Although there may be a somewhat higher risk for stillbirth in women of size, and although non-stress tests and biophysical profiles can sometimes help identify babies at high risk for stillbirth, these tests don't always help and come with downsides too. The rate of  false-positives is quite high, and often results in unnecessary interventions like early induction of labor or cesareans, and these also carry risks.

So while I can understand some providers wanting to offer this as an option to women of size (especially those who experience comorbid complications like hypertension disorders or restricted growth), I strongly question the value of its routine use in women of size with uncomplicated pregnancies. Furthermore, the testing schedule this woman has been put on is quite excessive (barring some complication we are not aware of).

Awareness of the possibility of complications in women of size is one thing, but clinicians must remember that over-testing brings its own risks and often becomes a self-fulfilling prophecy.

I've been through four pregnancies as a "morbidly obese" woman and I was never required to do this kind of monitoring. Nor do I know many other fat women who have been required to do this extreme amount of monitoring. And I can assure you that I most definitely felt my baby well enough to do kick counts by the end of pregnancy.  The idea that non-stress tests or biophysical profiles are required because fat women are too fat to adequately keep track of their baby's movements is ludicrous.

Commenter, unless you have some major complication we don't know about, you might want to think about running far and fast from this practice so you can find one that doesn't see you as such a ticking time bomb.  Pick a practice that knows that fetal surveillance testing has both pros and cons, that knows there is a high risk of false positives and over-intervention with these tests, and that is willing to discuss these pros and cons with you and let you make the final decision on their use instead of compelling you to follow an arbitrary schedule of testing virtually designed to find problems and intervene.

*How about you?  If you are a woman of size, have you been required to have such aggressive fetal surveillance from so early on?  What kind of fetal testing was recommended for you as a woman of size by your providers?

Tuesday, May 1, 2012

Supersized Women and Cesareans: A Tale of Two Cities

Although most care providers mean well when caring for high-BMI women, one consistent blind spot has been providers recognizing how the  high level of interventions used with many high-BMI women influence outcome.

In other words, are poor outcomes only due to "obesity" or do some poor outcomes reflect the interventive way that obese women are often managed in pregnancy and birth?

This is a particularly relevant question for the high cesarean rates found in "morbidly obese" women (BMI of 40 or more).  If a high-BMI woman is perceived as ultra high-risk, and is therefore subjected to increased rates of interventions (like inductions, early epidurals, and a lower threshold for surgery), does the resulting high cesarean rate really reflect problems with obesity itself, or with the way obese women are managed?

Here are two studies of cesarean rates in women of size that demonstrate that iatrogenic (provider-caused) influences can have a very strong effect on cesarean rates, and that a high cesarean rate in morbidly obese women is NOT just about the obesity itself.

These two studies examined cesarean rates in "super obese" women (BMI of 50 or more), one from Kentucky and one from the U.K.  The Kentucky study found a super-high c-section rate, and the U.K. study did not.

Yet the two studies basically were looking at very similar study groups, women with a BMI of 50 or more. If cesarean rates really are tightly tied to obesity and obesity alone, shouldn't the cesarean rates in these two studies be similar?

In the Kentucky study, women with a BMI over 50 had a whopping 56% cesarean rate. Compare that with the British study that found a 30% cesarean rate in women with a BMI over 50.

The Kentucky cesarean rate was nearly DOUBLE the rate of the British group, even though the size of the women was similar. 

This strongly suggests that management of labor around the pregnancies of supersized women differed and highly influenced the resulting cesarean rate, and that it's NOT just about a woman's size, but also her care provider's management.

We can't tell for sure from these particular studies why the cesarean rates in women of size in these two places are so different, but it's a good bet that it's NOT because the uteri of British women are that much more efficient than those of Kentucky women. No, the contrast in rates is much more likely to be due to differences in care, attitudes, and interventions.

A couple of strong possibilities spring to mind.

First, midwives are the most prevalent form of care provider for most women in the U.K., whereas most women in the USA get their care from OBs.  Research shows that on the whole, midwives tend to have lower cesarean rates, even when the risk profiles of patients are similar.  So perhaps the cesarean rate is lower because more of the "super obese" women in the U.K. had access to midwifery care.  If so, this is yet another reason to be alarmed about the move towards restricting fat women's access to lower-tech birthing alternatives and midwifery care.

Second, we don't know that much about the types of intervention, induction rates, and threshold for surgical intervention in each study.  My guess is that the Kentucky study had very high induction rates (which tends to lead to higher cesarean rates), a higher rate of interventions, and a lower threshold for doing a cesarean in labor.

I would love to see more research that focuses on why there can be such different outcomes in "morbidly obese" women.  We need to really shine a spotlight on differing management protocols and how they impact cesarean rates ─ and particularly so in women of size.

Interestingly, the Kentucky study notes that pitocin augmentation in labor led to lower cesarean rates in these women, although this difference did not rise to statistical significance.  They speculated, therefore, that "a qualitative or quantitative deficiency in the hormonal regulation of labor exists in the morbidly obese parturient."

This is a theory that is often bandied about in obstetric research (without any supporting proof, but often accepted as gospel anyhow). Yet if this were true, why were 70% of British women able to birth vaginally? It's far too easy and convenient to blame fat women's hormones instead of looking more closely at your own management practices instead.

It's time for doctors to stop scapegoating obesity alone for high cesarean rates in women of size, and long past time for them to start examining more closely how their own biases and high-intervention protocols negatively influence outcomes in this group.

This is not an emotionally comfortable thing to study, because care providers are human and no one wants to acknowledge that their own biases and management can affect outcome so strongly.  I understand that.

But if care providers are truly interested in improving outcomes in "obese" women, then this is the kind of work that MUST be done.  

The contrast between these studies shows that most very fat women CAN give birth vaginally....if caregivers would just stand aside and let them. It's time to take off the blinders and see how management protocols can  influence that.



References

Am J Perinatol.  2011 Jun 9. [Epub ahead of print] Extreme Morbid Obesity and Labor Outcome in Nulliparous Women at Term.  Garabedian MJ, Williams CM, Pearce CF, Lain KY, Hansen WF.  PMID: 21660900

Source: Department of Obstetrics and Gynecology, University of Kentucky, Lexington, Kentucky.
We examined the prevalence of cesarean delivery (CD) among women with morbid obesity and extreme morbid obesity. Using Kentucky birth certificate data, a cross-sectional analysis of nulliparous singleton gestations at term was performed. We examined the prevalence of CD by body mass index (BMI; in kg/m (2)) using the National Institutes of Health/World Health Organization schema and a modified schema that separates extreme morbid obesity (BMI ≥50) from morbid obesity (BMI ≥40 to less than 50). Bivariate and multivariate analyses were performed. Multivariate modeling controlled for maternal age, estimated gestational age, birth weight, diabetes, and hypertensive disorders. Overall, 83,278 deliveries were analyzed.

CD was most common among women with a prepregnancy BMI ≥50 (56.1%, 95% confidence interval 50.9 to 61.4%). Extreme morbid obesity was most strongly associated with CD (adjusted odds ratio 4.99, 95% confidence interval 4.00 to 6.22).

Labor augmentation decreased the likelihood of CD among women with extreme morbid obesity, but this failed to reach statistical significance. We speculate a qualitative or quantitative deficiency in the hormonal regulation of labor exists in the morbidly obese parturient. More research is needed to better understand the influence of morbid obesity on labor.
BJOG. 2011 Mar;118(4):480-7. Planned vaginal delivery or planned caesarean delivery in women with extreme obesity. Homer CS, Kurinczuk JJ, Spark P, Brocklehurst P, Knight M.  PMID: 21244616

Source: National Perinatal Epidemiology Unit, University of Oxford, UK.
OBJECTIVE: To compare the outcomes of planned vaginal versus planned caesarean delivery in a cohort of extremely obese women (body mass index ≥ 50 kg/m(2)). 
DESIGN: A national cohort study using the UK Obstetric Surveillance System (UKOSS). 
SETTING: All hospitals with consultant-led maternity units in the UK. 
POPULATION: Five hundred and ninety-one extremely obese women delivering in the UK between September 2007 and August 2008. 
METHODS: Prospective cohort identification through UKOSS routine monthly mailings. 
MAIN OUTCOME MEASURES: Anaesthetic, postnatal and neonatal complication rates. 
RESULTS: After adjustment, there were no significant differences in anaesthetic, postnatal or neonatal complications between women with planned vaginal delivery and planned caesarean delivery, with the exception of shoulder dystocia (3% versus 0%, P = 0.019). There were no significant differences in any outcomes in the subgroup of women who had no identified medical or antenatal complications. 
CONCLUSIONS: This study does not provide evidence to support a routine policy of caesarean delivery for extremely obese women on the basis of concern about higher rates of delivery complications, but does support a policy of individualised decision-making on the mode of delivery based on a thorough assessment of potential risk factors for poor delivery outcomes.



Monday, April 23, 2012

First Cesareans and Risk for Fetal Death in Subsequent Pregnancies

International Cesarean Awareness
Network, www.ican-online.org
 
This recent study shows yet another reason to avoid cesareans whenever possible.

Remember that the absolute risk of this complication for any one mother is quite low, but the fact that the risk is increased at all is a good reason to be cautious about the overuse of cesareans on a population-wide basis.

If you would like to read a more complete summary of this study (and others like it which examined the same question), please read Henci Goer's analysis of the study over at Science & Sensibility.


J Midwifery Womens Health. 2012 Jan;57(1):12-7. doi: 10.1111/j.1542-2011.2011.00142.x. First birth cesarean and risk of antepartum fetal death in a subsequent pregnancy. Osborne C, Ecker JL, Gauvreau K, Lieberman E.  PMID: 22251907
Introduction: To examine the relationship between first birth by cesarean and antepartum fetal death in a subsequent pregnancy in a large, hospital-based population.  
Methods : Data for this retrospective cohort study were taken from a database of all women who gave birth at Brigham and Women's Hospital during 4 waves of data collection beginning in 1994 and ending in 2002. We calculated the risk of antepartum fetal death in the subsequent pregnancy for women whose first birth was by cesarean compared to women with a vaginal first birth. Survival analysis was used to examine the influence of gestational age at birth.  
Results: Of 10,996 women who met inclusion criteria, 22% (n = 2450) had first births by cesarean, and 78% (n = 8546) had vaginal first births. The risk of antepartum fetal death in the subsequent pregnancy for women whose first birth was by cesarean was significantly greater than the risk for women whose first birth was vaginal (odds ratio 2.6; 95% confidence interval, 1.1-6.2). The relationship between first birth cesarean and antepartum fetal death in a subsequent pregnancy differed by gestational age at birth, with no excess risk among women with a previous cesarean birth who gave birth before 34 weeks' gestation but with a substantially increased risk for women who gave birth at 34 or more weeks' gestation (unadjusted hazard ratio = 5.6; 95% confidence interval, 1.6-19.8). Hazard ratio estimates for the association remained significant in bivariate models when adjusted for maternal height, weight, age, hypertension, and diabetes.  
Discussion: In these data, first birth by cesarean was associated with an increased risk of antepartum fetal death in a subsequent pregnancy. Our findings suggest that antepartum fetal deaths in subsequent pregnancies might be prevented by avoiding primary cesarean birth.

Tuesday, April 17, 2012

Maternal Obesity and Autism: Science Sensationalism Run Amok


As everyone and their mothers have heard by now, a new study just out is promoting the idea that maternal "obesity" is associated with an increased risk for the development of autism in children.

So now even the increase in autism over the years is fat people's fault too, eh?  Well, I beg to differ.  There are a lot of problems with the study, its conclusions, and how it is being promoted in the media.  Quelle surprise.

Science Sensationalism

This is yet another case of Science By Press Release, and frankly, it's appalling.  It's yet another way the medical establishment tries to shame fat women out of procreating unless they lose weight first.

Yes, there are risks associated with obesity and pregnancy and it's important to be aware of them, but it's another thing entirely to bludgeon women with them in a way that shames or scares them inappropriately, or paints the choice of a fat women to have a baby as utterly irresponsible.

If you take a look at the study and the way it's been reported, you will find that there are a number of problems.  Let's discuss a few of these.

Jumping to Conclusions 

Frankly, the public promotion of this finding was very inappropriate because this is the first time scientists have found a relationship between obesity and autism.

One of the prime rules for researchers is that study findings must be corroborated by other studies before being accepted as a true relationship.  If this is the first time they have found this relationship, it should have been confirmed by other studies before being publicized.

Since I'm not an expert in the autism field, I did a little digging around to see if other studies have examined the question. One major review of autism literature found that researchers have largely not investigated the topic before. They noted that there was one study which did not find an association between obesity and autism, but that they could not include this study in their review because its findings had not been replicated.

So the study that exonerates obesity doesn't get any press, but the one that finds a connection gets a huge media tour of the world?  The one that didn't find an association doesn't even get listed with a reference, only rates a passing mention in a major review, simply because it hasn't been replicated....but the one that does find an association is somehow worthy of huge press attention, even though it hasn't been replicated either?  Double standard much?

Although this new finding is interesting on a purely scientific basis, it is not yet something that should be promoted in the media, where people will jump to conclusions about a relationship before it is really proven.  Yet that is precisely what has happened, and you can bet it's going to be on every future Scare Provider Risk List for obesity and pregnancy, despite its unconfirmed nature.  It's just one more weapon with which to bludgeon women of size around their childbearing choices.

An Alternative Agenda?

That the authors publicized this finding so strongly now, before it has been corroborated elsewhere, suggests another agenda.  Either the authors are trying to promote their careers by making a splash with this in the media, or the authors are strongly pushing a public health weight loss agenda.  Or perhaps it could be a little bit of both?

What an amazing coincidence that the lead author is a doctoral candidate at U.C. Davis, isn't it?  A little publicity for a widely-received research finding goes a long way to grease the thesis process, and maybe even the job-finding prospects afterwards, eh?

Judging by some of the press release comments along the lines of, "Well, we can't say for sure obesity causes autism, but this is just another reason to 'get healthy' before pregnancy," they are hitting the weight loss agenda hard when publicizing the study:
Since more than one-third of U.S. women of child-bearing age are obese, the results are potentially worrisome and add yet another incentive for maintaining a normal weight, said researcher Paula Krakowiak, a study co-author and scientist at the University of California at Davis.
The implication is that if you dare to not achieve that "normal" weight before pregnancy, you are irresponsible and a burden to society with your "damaged" babies.

These days, so much of "science" is all about the public health spin you put on findings.

A Less-Than-Overwhelming Association

Another concern is that the finding was not even that strong.  If the study had found a huge relationship between obesity and autism, that might have been grounds for publicity even on a first finding of such a correlation, but it really didn't find that strong a relationship.

The study found that children of obese women had an odds ratio of 1.67 for being on the autism spectrum.  In the press releases, this is phrased as "67% higher risk of autism than the children of normal-weight moms."  While this cannot be dismissed, it is hardly a really striking finding. If there's really a strong relationship, you want to see a much more dramatic risk increase than that.  This "relationship" is fairly tepid at best.  It can't be overlooked at this point, but it's certainly not so strong that it really deserved the publicity hype it got.

And if there was really a strong relationship between metabolic conditions in pregnancy and developmental disorders, you would expect that both diabetes and hypertension would come back as risk factors.  Indeed, they did, but the confidence interval for these findings crossed 1.0, meaning that those findings could be due simply to coincidence.  The confidence interval for the obesity or "any metabolic condition" did not quite cross 1.0, but the fact that both the diabetes and hypertension findings did raises the question of whether this relationship will really hold up in further studies.

And that's the bottom line, isn't it?  This finding needs to be replicated in other studies.  Promoting it so widely and so overwhelmingly on the basis of such tepid findings is embarrassingly premature.

Causality versus Correlation

As others have pointed out, just because two things happen at the same time doesn't mean they are causally related to each other.  Yet many of the press releases trumpet a "parallel rise" in both obesity and autism in recent years, implying causality, although they always insert a token sentence or two that no conclusions can be reached yet:
Although nobody can say the nation's rising obesity rate is to blame for the prevalence of autism, Krakowiak said the parallel increases did catch her attention.
Way to imply causality without actually stating outright that the two are related.

Other "experts" go even further:
Dr. Daniel Coury, chief of developmental and behavioral pediatrics at Nationwide Children's Hospital in Columbus, Ohio, said the results “raise quite a concern.” He noted that U.S. autism rates have increased along with obesity rates and said the research suggests that those figures may be more than a coincidence.
So let's look at this claim a little further.  Several press releases point out that "autism is up 78% since 2002."   And the final sentence of the study abstract states, "With obesity rising steadily, these results appear to raise serious public health concerns."

Except that recent data has NOT shown obesity to be rising steadily.  It did for a while, and then it leveled off...around the year 2000.  Yet autism seems to be rising steadily, with no leveling off of cases, as you might expect if obesity and autism were causally linked.

This doesn't mean we can disprove a link between autism and obesity, just that citing a parallel increase in both obesity and autism doesn't hold up logically, since obesity has leveled off and is not currently increasing.

Again, the authors seem to be most interested in promoting the obesity hysteridemic, rather than looking at actual data in an objective fashion.  They've bought into the party line that obesity is increasing at exponential rates and shows no sign of slowing, and they show no willingness to question this meme, nor does the press.

This is sensationalism, not science.

Disorder or Difference?

Another concern for me in the press coverage was the rampant ableism that goes unquestioned in the articles.

Is autism really a "disorder" or is it merely a difference?  Is it something that needs to be "fixed", or is it simply a representation of neurological biodiversity?

Do we really need to treat folks on the autism spectrum like a freak show?  Or is this just another Public Health Boogeyman to scare people with?

Possible "Causes" of Autism

This study is just the latest in a series of studies promoting a new and trendy "cause" for the Autism Boogeyman.

If you look back over the last several decades, the media is full of these reports.  And every few years, something new is blamed (including air pollution, vaccines, MSG, GMOs, pesticides, lead exposure, low vitamin D, and many others).  The Autism Blame Game is a common media theme.

After all these reports over the years, blaming yet another possible cause for autism, you'd think that the media would be more cynical and wary of yet another new claim.  But each new "cause" is embraced and promoted as THE answer.  Obesity is just the latest one, but one that will no doubt stick around a long time because it fits the anti-obesity scare mantra that doctors and the media want to promote.

Mother-Blaming 101

A few decades ago, it was the mother's "frigid" behavior that was blamed for autism, the appalling "Refrigerator Mother" theory.  Researchers noticed a difference in interaction between mothers and their children with autism, and blamed "cold" mothers for the development of autism.  But what happened was that the mothers were responding to the cues of the child, as mothers do.  If hugging or touching your child distresses him greatly, then it is only natural for the mother to decrease that behavior in the best interests of her child.  It is an act of love, a response that recognizes and acknowledges the needs of the child over her own.  Yet researchers in a notoriously mother-blaming era interpreted it in an entirely different way.

Sadly, such mother-blaming behavior is still happening, only now it is being focused on what mothers do "wrong" in pregnancy.

Given their world view that autism is a disorder, it is understandable the researchers are anxious to figure out its causes, but researchers need to be very careful not to simply indulge in a new and more insidious type of mother-blaming.

Other Physical Causes

Clearly, the most important factor involved in autism is genetics.  Twin studies and family history studies have shown that autism is highly heritable, and that genetics is far more important than environmental influences.  However, studies on identical twins suggest that sometimes environmental influences are also a factor.  In all likelihood, autism is mostly genetic, but may also involve complex interactions between genetics and environmental factors.  If it does, the question is which environmental factors?

Many different factors have been tied to autism in research.  The ones that seem to have the most credible research behind them include prematurity, older age of parents (especially the father), jaundice after birth, low birth-weight/small-for-gestational-age (LBW/SGA), being the first-born child, bleeding during pregnancy, breech malpositions, maternal use of medication during pregnancy, the mother having been born abroad, gestational diabetes, maternal infection, etc.

However, it's one thing to find a possible association in a data dredge study, and another thing for that factor to be supported in study after study after study. Often something is found to be a factor in one study but not another. It is only when multiple studies consistently find common risk factors that public health actions should be taken.  Anything more is premature and ill-considered.

Another problem is that the studies looking at risk factors for autism are subject to considerable methodological variation, with different diagnostic criteria, comparison groups, sample sizes, and methods of assessing autism.  Therefore, it is important to be cautious about over-interpreting the results of any one study.  It is the big picture that is the most important one.

One meta-analysis acknowledged the weaknesses of most autism studies, saying:
Few factors have been examined in multiple well-conducted studies. Therefore, attempted replication in methodologically strong studies remains necessary. Although the majority of factors examined in multiple studies have given inconsistent results, the preponderance of findings overall have not been statistically significant.
Some research suggests that perhaps it takes multiple "insults" to increase the risk for autism.  This includes problems during the pregnancy, problems during the birth, problems in early childhood, and missed developmental markers.  This is an interesting theory; it may be that looking for the "magic bullet" is the wrong approach, but rather it is the interaction of several factors (together with a strong genetic predisposition) that is important.

Whatever the answer is, it is clear that many things have been blamed for autism over the years, but that any findings must be interpreted with great caution.  

But What If There Is A True Relationship?

Of course, we can't just dismiss the findings of this study totally.  The authors did find a relationship, and we can't just dismiss every study with a conclusion we don't like.  So let's take a moment to discuss the possibilities.

IF there's a real relationship (which is by no means proven at this point), where do researchers need to go from here to investigate this topic more thoroughly?

Refine the Research

First, the researchers need to stop using obesity as a surrogate for a metabolic abnormality.  That assumption is problematic since many obese people do not have diabetes, insulin resistance, or hypertension, and many thin people do.  Making obesity an automatic surrogate for metabolic aberration is far too simplistic and leads to overgeneralization of risk.

The picture is likely much more complex and needs to be treated as such.  Separate out the obese people with metabolic issues from those without, then compare them to "normal" weight people with and without metabolic issues too. Try and tease out where the true risk factors lie rather than draw broad generalizations.

Second, do follow-up research. If children of obese mothers do turn out to be at increased risk, then why do most obese women not have children with autism?

Compare the pregnancies of fat women whose children developed autism to the pregnancies of fat women whose children did not develop autism.  Did those who developed autism have more medical complications in pregnancy?  More prematurity?  More SGA babies?  More gestational diabetes?  Evidence of fetal hypoxia at birth?  More exposure to pitocin?  More cesareans?  More epidurals?  More iron-deficiency or other nutritional deficits?  More inadequate weight gain?

In other words, look deeper than just obesity.  Stop being so simplistic, refine the research further, and ask more meaningful questions.

Track Real-Life Incidence Numbers

It's always frustrating when obesity researchers use odds ratios to talk about various risks associated with obesity and pregnancy, which tends to inflate the sense of risk around a complication.  Fortunately, the authors of this study at least try to place the risk in some numerical context.  One press release noted:
On average, women face a 1 in 88 chance of having a child with autism; the results suggest that obesity during pregnancy would increase that to a 1 in 53 chance, the authors said.
1 in 53 would mean that nearly 2% of all babies born to fat women would be autistic.  Notice that they don't document that 2% of all children of fat women are autistic, they just extrapolate and estimate the risk. Frankly, it seems high to me; I don't think that 2% of all the children of fat women I have met are autistic. But we need real data in order to know this for sure, not just extrapolation of risk.

Future research needs to do some long-term follow-up of the children of obese women to see how many really are autistic, and how this compares to the rest of the population.  If the rate is not 2%, something is wrong with the theory or their estimation of risk.

Discern How Obesity Could Be a Cause

In this study, the authors speculate why fetal exposure to a metabolic disorder might result in adverse fetal development.  They point out that poorly regulated maternal glucose (even in those not technically diabetic) leads to fetal hyperinsulinemia, which can lead to chronic hypoxia (low oxygen levels) in the fetus.  This can also lead to fetal iron deficiency.  They note:
Both fetal hypoxia and iron deficiency can profoundly affect neurodevelopment in humans, including alterations in myelination and cortical connectivity and aberrations in hippocampal neurons. Fetal iron deficiency has also been associated with reduced recognition memory as well as behavioral and developmental problems. 
They also note that high levels of proinflammatory cytokines (common in diabetes and obesity) have been shown to disrupt normal brain development in animal studies.

All these theories are very interesting, but again, they are only speculation.  You can't prove causation with speculation.  Yet you know that this study is going to be used by many doctors NOW as yet another scare tactic to pressure women into losing weight before pregnancy so they can control those glucose levels and cytokines...just in case.

If a number of studies corroborates a relationship between obesity and autism, then researchers must do more than speculate about possible cause for this; they must examine it much more carefully before advising radical interventions like stringent diets or weight loss surgery.  You have to know what the cause is before you can know what your cure should be, or you may inadvertently do more harm than good.

Consider Confounding and Iatrogenic Factors 

Most importantly, if maternal obesity really seems to be associated with autism, then it's very important that researchers control for confounding factors, especially iatrogenic ones.  In fact, obesity could simply be a surrogate marker for highly interventionist care.

For example, women of size are often placed on restricted diets or told to gain little weight (or even to lose it) during pregnancy, and we know this increases the risk for low birth-weight or SGA babies.  We also know that in a number of studies, LBW/SGA babies are associated with an increased risk for autism.  Are the autistic children largely limited to obese mothers with low birth-weigth/SGA babies?  Or are they spread out more evenly?

In addition, women of size are rarely "allowed" to labor normally and naturally these days, with very high induction of labor rates in morbidly obese women in particular.  Some research suggests that exposure to artificial pitocin during labor increases the risk for autism.  No one is sure why this might be, but they speculate it could be that exogenous pitocin interferes with the natural oxytocin (love/bonding hormone) produced by babies.  If there is a pitocin/autism connection, is the issue really the women's obesity or the increased amount of interventions used in their pregnancies by most doctors?

Ultrasounds are another question.  Women of size are often required to get multiple ultrasounds during a pregnancy, and their ultrasounds may take longer to get an adequate image.  Some experts tie ultrasounds to autism, although frankly, the evidence is very thin for this. But a supposed obesity/autism connection must also rule out increased exposure to ultrasounds as a potential "cause."

Cesareans are another intervention which has been tied to autism by some researchers.  And heaven knows, morbidly obese women are subjected to a very high rate of cesareans at many institutions in this country (although many of these are probably not necessary).  So again, could obesity be merely a surrogate for a pattern of obstetric over-intervention?

Sadly, NONE of these possibilities were even raised by the obesity/autism study just published.  A metabolic cause was just assumed, and the possibility of confounding factors completely ignored.  However, any future research into this topic MUST account for the possibility.

Final Thoughts

This study has many issues.  It makes obesity a sweeping surrogate for metabolic aberrations, jumps to strong conclusions on the basis of fairly tepid data, fails to control for possible confounding factors, treats the issue far too simplistically, and tries to link a rise in autism with a rise in obesity, despite evidence that obesity is not increasing in parallel with autism.

Furthermore, this study should never have been trumpeted to the press like this.  It is only the first study to find such an association, which is hardly compelling evidence.  Such an association must be found in a number of studies before any serious conclusions can be made about a connection, and definitely before any major press releases are done or any radical "solutions" are proposed.

It's time for more (and better!) research on the topic, with consistent study designs between research so results can be compared more accurately. And it's time for a less mother-blaming slant to the research and publicity around it.  

The language of the press releases around this study was also problematic.  In the many press releases associated with this study, some of the interviewed doctors tried to soften the implied criticisms of obese mothers, pointing out that there was no proof (yet) that obesity causes autism and that there may be other factors at work. But just as clearly, the authors and others are using this to once again press for a weight loss agenda:
While the new research points to an association between mom's health during pregnancy and autism, it's important to note that "we can't really draw causal links," says researcher Paula Krakowiak. She is a PhD candidate in epidemiology at the University of California, Davis.
But "it is already known that any of these conditions have downstream risks in terms of pregnancy complications and delivery complications. The take-home message would be that any modifiable changes that one can make in their lifestyle or diet can benefit these conditions and potentially benefit the baby."
In another press release, commenters tell obese women not to feel guilty if they have an autistic child, while in the next breath they warn these women they may not live to see their child grow up:
While maternal obesity is linked to a modest increase in autism risk, Hyman said it can have other health consequences in mother and child. Previous studies have linked maternal obesity to birth defects, including spina bifida as well as heart and limb deformities. "Obesity is a major public health problem," she said. "The risk for autism and developmental disorders is only part of it."....
"We would not advocate treating the hypothetical causes of autism, but we would recommend women of childbearing years to eat healthy and exercise and take care of themselves, not only for the fetus but so they can see their children grow up."  
See their children grow up?  Even if obesity impacts lifespan, it is quite unlikely to cause mothers to die before their children grow up, and such language is pure emotionally-laden scare tactics.

Clearly, there is a strong dose of weight bias in these reports, not to mention the usual scare tactics and mother-blaming.  Too bad the media wasn't more neutral in their reporting of this study.

If mother-blaming has been raised to the level of a sport in our society, then fat-mother blaming has been raised to the level of an Olympic sport.  

This new study and its attendant publicity is just the latest volley in this vicious sport.


References

The study in question: Pediatrics. 2012 May;129(5). DOI: 10.1542/peds.2011-258. Maternal Metabolic Conditions and Risk for Autism and Other Neurodevelopmental Disorders. Krakowiak P et al. PMID:  22492772. Full text available online at: http://pediatrics.aappublications.org/content/early/2012/04/04/peds.2011-2583.full.pdf 

Genetics and Autism

Psychol Med. 1995 Jan;25(1):63-77. Autism as a strongly genetic disorder: evidence from a British twin study. Bailey A, et al.  PMID: 7792363
Two previous epidemiological studies of autistic twins suggested that autism was predominantly genetically determined, although the findings with regard to a broader phenotype of cognitive, and possibly social, abnormalities were contradictory. Obstetric and perinatal hazards were also invoked as environmentally determined aetiological factors. The first British twin sample has been re-examined and a second total population sample of autistic twins recruited. In the combined sample 60% of monozygotic (MZ) pairs were concordant for autism versus no dizygotic (DZ) pairs; 92% of MZ pairs were concordant for a broader spectrum of related cognitive or social abnormalities versus 10% of DZ pairs. The findings indicate that autismis under a high degree of genetic control and suggest the involvement of multiple genetic loci. Obstetric hazards usually appear to be consequences of genetically influenced abnormal development, rather than independent aetiological factors. Few new cases had possible medical aetiologies, refuting claims that recognized disorders are common aetiological influences.
Epidemiol Rev 2002; 24: 137–53. Heritable and noninheritable risk factors for autism spectrum disorders. Newschaffer CJ, Fallin D, Lee NL. Full free text at: http://epirev.oxfordjournals.org/content/24/2/137.long 

Other Studies on Autism Risk Factors  


(*Abstracts have been edited for space reasons. Positive association are highlighted in bold, negative associations in italics)

Pediatrics. 2011 Aug;128(2):344-55. Epub 2011 Jul 11. Perinatal and neonatal risk factors for autism: a comprehensive meta-analysis. Gardener H, Spiegelman D, Buka SL. PMID: 21746727
OBJECTIVE: To provide the first review and meta-analysis of the association between perinatal and neonatal factors and autism risk...RESULTS: Over 60 perinatal and neonatal factors were examined. Factors associated with autism risk in the meta-analysis were abnormal presentation, umbilical-cord complications, fetal distress, birth injury or trauma, multiple birth, maternal hemorrhage, summer birth, low birth weight, small for gestational age, congenital malformation, low 5-minute Apgar score, feeding difficulties, meconium aspiration, neonatal anemia, ABO or Rh incompatibility, and hyperbilirubinemia. Factors not associated with autism risk included anesthesia, assisted vaginal delivery, postterm birth, high birth weight, and head circumference. CONCLUSIONS: There is insufficient evidence to implicate any 1 perinatal or neonatal factor in autism etiology, although there is some evidence to suggest that exposure to a broad class of conditions reflecting general compromises to perinatal and neonatal health may increase the risk. Methodological variations were likely sources of heterogeneity of risk factor effects across studies.
Epidemiology. 2002 Jul;13(4):417-23. Perinatal risk factors for infantile autism. Hultman CM, Sparén P, Cnattingius S. PMID: 12094096
...METHODS: We conducted a case-control study nested within a population-based cohort (all Swedish children born in 1974-1993). We used prospectively recorded data from the Swedish Birth Register, which were individually linked to the Swedish Inpatient Register. Cases were 408 children (321 boys and 87 girls) discharged with a main diagnosis of infantile autism from any hospital in Sweden before 10 years of age in the period 1987-1994, plus 2,040 matched controls...RESULTS: The risk of autism was associated with daily smoking in early pregnancy (OR = 1.4; CI = 1.1-1.8), maternal birth outside Europe and North America (OR = 3.0; CI = 1.7-5.2), cesarean delivery (OR = 1.6; CI = 1.1-2.3), being small for gestational age (SGA; OR = 2.1; CI = 1.1-3.9), a 5-minute Apgar score below 7 (OR = 3.2, CI = 1.2-8.2), and congenital malformations (OR = 1.8, CI = 1.1-3.1). No association was found between autism and head circumference, maternal diabetes, being a twin, or season of birth. CONCLUSIONS: Our findings suggest that intrauterine and neonatal factors related to deviant intrauterine growth or fetal distress are important in the pathogenesis of autism.
Acta Psychiatr Scand. 2006 Oct;114(4):257-64. Perinatal risk factors and infantile autism. Maimburg RD, Vaeth M.   PMID: 16968363 
...RESULTS: The risk of infantile autism was increased for mothers aged >35 years, with foreign citizenship, and mothers who used medicine during pregnancy. A higher risk of infantile autism was seen among children with low birth weight and with congenital malformations. Birth interventions, pathological cardiotocography, green amnion fluid and acidosis during delivery were not associated with increased risk for infantile autism. CONCLUSION: Our findings suggest that suboptimal birth conditions are not an independent risk factor for infantile autism. A high prevalence of lowbirth weight and birth defects among autism cases seems to explain the suboptimal birth outcome.
Dev Neurobiol. 2012 Apr 5. doi: 10.1002/dneu.22024. Epidemiologic studies of exposure to prenatal infection and risk of schizophrenia and autism. Brown AS.   PMID: 22488761 
In this review, we provide a synopsis of work on the epidemiologic evidence for prenatal infection in the etiology of schizophrenia and autism...Some evidence also suggests that maternal infection and immune dysfunction may be associated with autism. Although replication is required, these findings suggest that public health interventions targeting infectious exposures have the potential for preventing cases of schizophrenia and autism.....
J Autism Dev Disord. 2010 Nov;40(11):1311-21. Prenatal and perinatal risk factors for autism in China. Zhang X, et al.   PMID: 20358271
We conducted a case-control study using 190 Han children with and without autism to investigate prenatal and perinatal risk factors for autism in China....In the adjusted analysis, nine risk factors showed significant association with autism: maternal second-hand smoke exposure, maternal chronic or acute medical conditions unrelated to pregnancy, maternal unhappy emotional state, gestational complications, edema, abnormal gestational age (<35 or >42 weeks), nuchal cord, gravidity >1, and advanced paternal age at delivery (>30 year-old).
Psychol Med. 2012 May;42(5):1091-102. Epub 2011 Dec 2. Lower birth weight indicates higher risk of autistic traits in discordant twin pairs. Losh M, et al.   PMID: 22132806
...METHOD: We studied a population-based sample of 3715 same-sex twin pairs participating in the Child and Adolescent Twin Study of Sweden (CATSS)...RESULTS: Twins lower in birth weight in ASD-discordant twin pairs (n=34) were more than three times more likely to meet criteria for ASD than heavier twins [odds ratio (OR) 3.25]. Analyses of birth weight as a continuous risk factor showed a 13% reduction in risk of ASD for every 100 g increase in birth weight (n=78)...CONCLUSIONS: The data were consistent with the hypothesis that low birth weight confers risk to ASD. Thus, although genetic effects are of major importance, a non-genetic influence associated with birth weight may contribute to the development of ASD.
Front Integr Neurosci. 2009;3:31. Epub 2009 Nov 11. Incidence of pre-, peri-, and post-natal birth and developmental problems of children with sensory processing disorder and children with autism spectrum disorder. May-Benson TA, Koomar JA, Teasdale A. PMID: 19936320
...An exploratory descriptive study, utilizing retrospective chart review, was conducted to investigate the incidence of pre-, peri- and post-natal, birth and developmental problems in a sample of 1000 children with SPD and of 467 children with autism spectrum disorder(ASD), who also had SPD. This study revealed that although no one factor was strongly associated with SPD or ASD, an average of seven events for children with SPD and eight events for children with ASD occurred across categories. These included: one pre-natal/pregnancy problem, delivery complication, assisted delivery, gestational or birth-related injury/illness; one or more early childhood illnesses or injuries; two or more infancy/early childhood developmental problems; and one or more delayed early childhood developmental milestones. When comparing results to national studies of the typical population, most remarkable was the incidence of jaundice, three to four times higher in both the SPD and ASD groups than in typical children. In addition, rates of breech position, cord wrap/ prolapse, assisted delivery methods (particularly forceps and suction deliveries), and high birth-weight were greater in both groups. Incidence of premature birth was higher in the ASD although not significantly different from the SPD group. Also of note was a high frequency of absent or brief crawling phase, and high percentages of problems with ear infections, allergies, and maternal stresses during pregnancy.
Arch Gen Psychiatry. 2004 Jun;61(6):618-27. Perinatal factors and the development of autism: a population study. Glasson EJ, et al.   PMID: 15184241
...DESIGN: Subjects born in Western Australia between 1980 and 1995 and diagnosed with an autism spectrum disorder by 1999 were included as cases (n = 465). Siblings of the cases (n = 481) and a random population-based control group (n = 1313) were compared with the cases on obstetric information contained in the Maternal and Child Health Research Database of Western Australia. RESULTS: Compared with control subjects, cases had significantly older parents and were more likely to be firstborn. Case mothers had greater frequencies of threatened abortion, epidural caudal anesthesia use, labor induction, and a labor duration of less than 1 hour. Cases were more likely to have experienced fetal distress, been delivered by an elective or emergency cesarean section, and had an Apgar score of less than 6 at 1 minute. Cases with a diagnosis of autism had more complications than those with pervasive developmental disorder not otherwise specified or Asperger syndrome. Nonaffected siblings of cases were more similar to cases than control subjects in their profile of complications. CONCLUSIONS: Autism is unlikely to be caused by a single obstetric factor. The increased prevalence of obstetric complications among autism cases is most likely due to the underlying genetic factors or an interaction of these factors with the environment.
Med Hypotheses. 2004;63(3):456-60. Could oxytocin administration during labor contribute to autism and related behavioral disorders?--A look at the literature. Wahl RU.  PMID: 15288368
This literature review summarizes recent potential evidence, most of which is at the molecular/mechanistic level, in support of Hollander's hypothesis that excess oxytocin (OT), possibly through OT administration at birth, could contribute to the development of autistic spectrum disorders and related syndromes by proposed down regulation of the OT receptor (OTR). In this review, recent molecular evidence for OTR internalization by excess OT is related to OT's reported effects on animal social behavior, favoring social bondage, notably in sheep, voles, rats and especially mice. Adding indications for OT's capability of crossing the maternal placenta and OT's possibility of crossing an underdeveloped or stressed infantile blood brain barrier at birth, a causal connection between OT excess and behavioral disorders such as autism can be supported from a molecular perspective. Possible strategies such as a thorough statistical analysis of numerous birth records as well as molecular studies such as radiotracing using labeled OT are proposed to test this hypothesis.
J Autism Dev Disord. 2003 Apr;33(2):205-8. Brief report: pitocin induction in autistic and nonautistic individuals. Gale S, Ozonoff S, Lainhart J.  PMID: 12757361  (note the very small study sample)
Oxytocin plays an important role in social-affiliative behaviors. It has been proposed that exposure to high levels of exogenous oxytocin at birth, via pitocin induction of delivery, might increase susceptibility to autism by causing a downregulation of oxytocin receptors in the developing brain. This study examined the rates of labor induction using pitocin in children with autism and matched controls with either typical development or mental retardation. Birth histories of 41 boys meeting the criteria for autistic disorder were compared to 25 age- and IQ-matched boys without autism (15 typically developing and 10 with mental retardation). There were no differences in pitocin induction rates as a function of either diagnostic group (autism vs. control) or IQ level (average vs. subaverage range), failing to support an association between exogenous exposure to oxytocin and neurodevelopmental abnormalities.
B J Psych 2009;195:7-14.  Prenatal risk factors for autism: comprehensive meta-analysis.  Gardener H, Spiegelman D, Buka SL.  Full text available at: http://bjp.rcpsych.org/content/195/1/7.long
...AIMS: To provide the first quantitative review and meta-analysis of the association between maternal pregnancy complications and pregnancy-related factors and risk of autism. METHOD: PubMed, Embase and PsycINFO databases were searched for epidemiological studies that examined the association between pregnancy-related factors and autism. Forty studies were eligible for inclusion in the meta-analysis. Summary effect estimates were calculated for factors examined in multiple studies. RESULTS: Over 50 prenatal factors have been examined. The factors associated with autism risk in the meta-analysis were advanced parental age at birth, maternal prenatal medication use, bleeding, gestational diabetes, being first born v.third or later, and having a mother born abroad. The factors with the strongest evidence against a role in autism risk included previous fetal loss and maternal hypertension, proteinuria, pre-eclampsia and swelling. CONCLUSIONS: There is insufficient evidence to implicate any one prenatal factor in autism aetiology, although there is some evidence to suggest that exposure to pregnancy complications may increase the risk.
Am J Epidemiol. 2005 May 15;161(10):916-25; discussion 926-8. Risk factors for autism: perinatal factors, parental psychiatric history, and socioeconomic status. Larsson HJ, et al.  PMID: 15870155
...The study was nested within a cohort of all children born in Denmark after 1972 and at risk of being diagnosed with autism until December 1999. Prospectively recorded data were obtained from nationwide registries in Denmark. Cases totaled 698 children with a diagnosis of autism; each case was individually matched by gender, birth year, and age to 25 controls. ...Adjusted analyses showed that the risk of autism was associated with breech presentation (risk ratio (RR) = 1.63, 95% confidence interval (CI): 1.18, 2.26), low Apgar score at 5 minutes (RR = 1.89, 95% CI: 1.10, 3.27), gestational age at birth <35 weeks (RR = 2.45, 95% CI: 1.55, 3.86), and parental psychiatric history (schizophrenia-like psychosis: RR = 3.44, 95% CI: 1.48, 7.95; affective disorder: RR = 2.91, 95% CI: 1.65, 5.14). Analyses showed no statistically significant association between risk of autism and weight for gestational age, parity, number of antenatal visits, parental age, or socioeconomic status. Results suggest that prenatal environmental factors and parental psychopathology are associated with the risk of autism. These factors seem to act independently.

Thursday, April 12, 2012

Stay Tuned!

In the last few days, I've received about seventy gazillion emails from readers, asking me to comment on the new obesity and autism study.  Yes, I'm well aware of the study and have been researching the topic for you.

My response is in the works and nearly done, but I want to take enough time to look at the topic more thoroughly than some of the press releases or commentaries I've seen so far. Add to that the fact that I'm a working mother of four who has to fit all the research and writing in between her work, Scouts, choir, school plays, illnesses, cooking, chores, and fundraising!  (And that's just since Monday!)

But rest assured, I am finishing up my response now.  Stay tuned!

Tuesday, April 3, 2012

Another Fat Vagina Story

Ah, the oldies-but-goodies!  Funny how the same thing keeps coming up like this.

Here's yet another "Fat Vagina Theory" example from My OB Said What?!! (And people think I make this stuff up!)

"...The Fat Vaginal Walls Won't Let The Baby Pass."
"Between the Gestational Diabetes, which you obviously aren't doing the work to control, and being overweight, you'll probably get a cesarean section because the fat vaginal walls won't let the baby pass."        - OB to mother prenatally

Here's my debunking of the Fat Vagina Meme:

http://www.wellroundedmama.blogspot.com/2010/12/fat-vagina-theory-soft-tissue-dystocia.html

What would you like to say to this OB?  To this mama?

Thursday, March 29, 2012

Twin Study: Dieting Makes You Fatter

Int J Obes (Lond). 2012 Mar;36(3):456-64. doi: 10.1038/ijo.2011.160. Epub 2011 Aug 9. Does dieting make you fat? A twin study. Pietiläinen KH, Saarni SE, Kaprio J, Rissanen A.   PMID: 21829159 
Objective: To investigate whether the paradoxical weight gain associated with dieting is better related to genetic propensity to weight gain than to the weight loss episodes themselves. 
Subjects: Subjects included 4129 individual twins from the population-based FinnTwin16 study (90% of twins born in Finland 1975-1979). Weight and height were obtained from longitudinal surveys at 16, 17, 18 and 25 years, and number of lifetime intentional weight loss (IWL) episodes of more than 5 kg at 25 years. 
Results: IWLs predicted accelerated weight gain and risk of overweight. The odds of becoming overweight (body mass index (BMI) greater than 25 kg m(-2)) by 25 years were significantly greater in subjects with one (OR 1.8, 95% CI 1.3-2.6, and OR 2.7, 1.7-4.3 in males and females, respectively), or two or more (OR 2.0, 1.3-3.3, and OR 5.2, 3.2-8.6, in males and females, respectively), IWLs compared with subjects with no IWL.  
In MZ pairs discordant for IWL, co-twins with at least one IWL were 0.4 kg m(-2) (P=0.041) heavier at 25 years than their non-dieting co-twins (no differences in baseline BMIs).  
In DZ pairs, co-twins with IWLs gained progressively more weight than non-dieting co-twins (BMI difference 1.7 kg m(-2) at 16 years and 2.2 kg m(-2) at 25 years, P<0.001). 
Conclusion: Our results suggest that frequent IWLs reflect susceptibility to weight gain, rendering dieters prone to future weight gain. The results from the MZ pairs discordant for IWLs suggest that dieting itself may induce a small subsequent weight gain, independent of genetic factors.

*MZ stands for monozygotic (identical) twins, and DZ for dizygotic (fraternal) twins.

Thursday, March 22, 2012

Mammogram Screening Guidelines: Why So Much Confusion?


Normal Mammograms
Previously, we talked about my recent mammogram experience and things you can do to improve the mammogram experience and make it more comfortable.

Now, in Part 2, we're going to talk about the conflicting guidelines over who should get a mammogram and when, and why there is all the confusion. [Strap on your seatbelts, this is not a quick or easy subject to cover.]

I've also decided to expand the series beyond two parts. In future posts, we will also discuss whether "obesity" is associated with breast cancer and how that impacts mammogram timing for us, proactive things that might help lower your risk for breast cancer, and how chemotherapy underdosing impacts breast cancer outcomes in obese women.

As before, I have caveats.  First, I don't pretend to be an expert on breast cancer or the pros and cons of screening.  I'm still learning about the subject at this point.  Please always do your own research and consult your healthcare provider about your decision-making.

Second, please note that I'm not trying to tell you what you should do about screening in your life.  I am simply trying to open a dialogue about breast cancer screening, the debate over when it should be done, and whether that has any special implications for us as women of size.

Screening Guidelines: Differing Recommendations 

One of the hardest healthcare decisions for me in my 40s (and now, as I transition into my 50s) was trying to make sense of the different mammogram screening recommendations from different organizations. If all the professional organizations with access to all the research on the topic can't agree with each other, how am supposed to decide what to do?  Gah!

But a decision had to be made, and I always prefer to do that with a little research.  So first, I looked at what the different organizations actually recommended currently, while also keeping in mind that these recommendations can change over time.

[Remember, nobody recommends against diagnostic mammograms. If you find a lump or other symptoms suggestive of cancer, a mammogram is definitely in order, whatever your age.  But that is different than recommending regular screening mammograms in low-risk women with no symptoms.]

Here is a sampling of the guidelines from several leading organizations.

The American Cancer Society currently suggests that women with an "average" risk for breast cancer should get a screening mammogram every year starting in her 40s.  So does the American College of Radiology.  The National Cancer Institute recommends screening every 1-2 years starting at 40.

On the other hand, the U.S. Preventive Services Task Force suggests that regular screening mammograms begin after age 50 (unless there are strong risk factors for breast cancer) and then be done only every 2 years.  This is in alignment with the practice in many European countries, where screening starts in the 50s and only occurs every other year.  In fact, one of the major arguments for the new USPSTF guidelines is that they bring the U.S. into alignment with the practice in the rest of the world.

Note that the USPSTF doesn't say that women in their 40s can't have mammograms; they simply suggest that women in their 40s discuss the pros and cons of mammogram screening with their care provider and make a decision based on the context of their own family history, risk factors, and values.  The same goes for women in their 50s in terms of frequency of screening ─ it can be more often than every 2 years, depending on your risk factors.  But the baseline recommendation for most women is screening mammograms every 2 years starting at age 50.

Here is a summary from one site of the USPSTF recommendations:
In 2009, the U.S. Preventive Services Task Force (USPSTF) — a group of health experts that reviews published research and makes recommendations about preventive health care — issued revised mammogram guidelines. Those guidelines include the following:
  • Screening mammograms should be done every two years beginning at age 50 for women at average risk of breast cancer.
  • Screening mammograms before age 50 should not be done routinely and should be based on a woman's values regarding the risks and benefits of mammography.
  • Doctors should not teach women to do breast self-exams.
  • There is insufficient evidence that mammogram screening is effective for women age 75 and older, so specific recommendations for this age group were not included.
The main point of contention for the USPSTF is the harm that can come from routine screenings.  It found that routine mammograms for women in their 40s did slightly reduce the deaths from breast cancer in this age group BUT that there was a lot of harm from false-positive screenings*, and that this harm from false-positives was being undervalued in the recommendations of most medical society guidelines.

As one article about the controversy notes:
The goal of mammography is to detect cancerous tumors before they become palpable, when they are smaller or in an earlier stage and easier to treat. A drawback, however, is that while mammography is highly sensitive and can detect clinically occult breast cancer, there is a high false positive rate. 
One study found that 24% of women screened over a 10-year period had false positive mammograms. That led to unnecessary workups, often including ultrasound, fine needle biopsy, and possibly, surgical biopsy. To make matters worse, breast surgery often results in scar tissue that makes it more difficult to spot suspicious lesions on future mammography. Roughly 60% – 85% of breast lesions that are biopsied are benign. 
The controversy over when screening should begin is based on the fact that mammography's ability to detect cancerous tumors is somewhat age-related. Premenopausal women have denser breast tissue than their older counterparts, making it harder to distinguish between normal and diseased tissue. This dense tissue has a whitish appearance on a mammogram—similar to the appearance of cancerous cells. After menopause, women's breasts have more fat, which has a grayish appearance that makes it easier to detect abnormal lesions.
The bottom line seems to be that the risk of dying of breast cancer in your 40s is small, and that the benefits and risks of mammography screening then are fairly similar.  Getting regular mammograms in your 40s does reduce your chances of dying of breast cancer somewhat (one report concluded it reduces the risk by an average of ~15%), but at the price of much anxiety, false-positive tests, scar tissue from unnecessary biopsies, treatment of questionable diagnoses, accumulation of radiation exposure, and added medical costs.

Their point was that each individual woman must weigh for herself how to balance the benefits and risks of such tests in the context of her own family history and medical values.

Screening Guidelines: The Controversies

As you might guess, the change in guidelines has been extremely controversial. Many cancer groups were up in arms about this recommendation, accusing the USPSTF of ignoring the science or of trying to ration healthcare.

Some researchers have charged that the USPSTF discarded, ignored, or misinterpreted a lot of research in coming up with its new guidelines.  One researcher pulled no punches when he wrote:
The USPSTF failed to understand the randomized controlled trials and used the lowest possible benefit in its calculations. The death rate from breast cancer has decreased by 30%, primarily because of screening. The agency ignored direct data with regard to decreasing deaths in real populations in favor of computer models. The USPSTF admits that its guidelines will result in unnecessary deaths from breast cancer that could be avoided by screening annually beginning at the age of 40 years.
On the other hand, others charge that universal screening is largely a waste of health care time, effort, and money.
At best the evidence for the salutary effects of routine mammograms...is equivocal, with many respectable large-scale studies showing a vanishingly small impact on overall breast-cancer mortality. For one thing, there are an estimated two to four false positives for every cancer detected, leading thousands of healthy women to go through unnecessary biopsies and anxiety...David Plotkin, director of the Memorial Cancer Research Foundation of Southern California, concludes that the benefits of routine mammography "are not well established; if they do exist, they are not as great as many women hope." Alan Spievack, a surgeon recently retired from the Harvard Medical School, goes further, concluding from his analysis of dozens of studies that routine screening mammography is, in the words of famous British surgeon Dr. Michael Baum, "one of the greatest deceptions perpetrated on the women of the Western world."
One of the major concerns many people had with the Task Force recommendations was that insurance companies or the government might stop paying for mammograms for women in their 40s.  However, the USPSTF does not set policy like this, and the government and insurance companies are still paying for mammograms for women in their 40s.

Other researchers point out that risk for aggressive breast cancer in the 40s is not spread equally among all ethnic groups.  Therefore, some are deeply concerned that USPSTF recommendations might impact people of color more negatively, resulting in more missed or delayed diagnoses in these groups.

On the other hand, one must consider the economic incentive to screening all women in their 40s. A number of onlookers have noted that if all these women in their 40s no longer get routine screenings, a significant portion of the market for mammograms disappears, and profit margins for testing centers and hospitals go down. While no one is charging that experts are manipulating guidelines for profit, economic incentives can subtly influence physician perceptions and practices. How do economic pressures factor into the vociferous push-back against the new guidelines?

Another significant concern is the "overdiagnosis" problem.  Basically, all tumors are not alike, and some tumors never become life-threatening (these are called "indolent" tumors).  Some even regress spontaneously.  Yet when universal screening is used, these indolent tumors are often discovered and treated with dangerous medications and procedures when they probably didn't need treatment in the first place.  This is another example of the dangers of false-positive screening tests. As one article explains:
A routine mammogram can find cancers that would never have become life-threatening, subjecting women to painful and toxic treatments they never actually needed...The detection of tumors that would never have caused trouble is known in the medical trade as overdiagnosis... 
Breast cancers generally behave in one of three ways. Some grow very aggressively and metastasize (i.e. spread to other tissues) long before any mammogram can detect them. Others grow more gradually and can be successfully treated if caught early. Still others grow so slowly that they'll never cause the woman a problem...The problem is that, even under a microscope, it's impossible to distinguish these different types of cancer from one another, and mammograms are better at catching the less dangerous kinds... 
Because scientists do not yet have a way to distinguish cancers that will turn life-threatening from the harmless ones, they must treat every case as if it were the worst kind. As a result...for every woman whose life is saved, several others are subjected to surgery, radiation therapy and sometimes chemotherapy that they didn't need, for cancers they never would have known about without the screening.
And of course, some of those treatments (like mastectomies, radiation, and chemotherapy) carry risk.  Sometimes they lead to other complications, like lymphedema, heart problems from radiation exposure, or organ damage from chemotherapy. So the concern about overdiagnosis is a very legitimate one.

Yet every woman who has had breast cancer diagnosed via a routine mammogram usually believes whole-heartedly that her life was saved with early diagnosis, even though many of these cases would likely not have been fatal.  This leads to the Overdiagnosis Paradox, where the beneficial effects of screening get exaggerated in people's minds because the screening finds the very tumors that are least likely to cause problems and are therefore most "curable," as described here:
“The more overdiagnosis the test causes, the more popular it is because there are more survivors,” [Welch] says. “The person who had a breast cancer diagnosed by mammography is tempted to view herself as being helped, but there are two other possibilities that are more likely,” he says. The first is that the person would have fared exactly the same without the mammogram, and the second is that the cancer the mammogram diagnosed was indolent and did not require treatment. “I always hope that the person who found cancer via mammography was helped,” says Welch, but on an individual level it’s impossible to say which category an individual person falls into. Statistically, the vast majority fall into the overdiagnosed category.
This is what makes decisions about routine mammograms so difficult, and why it's so politically difficult to discuss screening guidelines. Everyone has a story about someone they knew (maybe even themselves) who got cancer in their 40s and was "cured". Everyone wants to believe that it was a mammogram that made the difference, but based on the actual research, it's very hard to prove that routine mammogram screenings have any substantial impact on breast cancer mortality for women in their 40s. Yet the emotional power of those anecdotal stories of women who think they were "saved" by their mammogram is so powerful that it often trumps the actual evidence in people's minds.

And so the controversy continues.

Screening Guideline Changes: The Fall-Out

Since the new USPSTF guidelines came out in 2009, there has been a lot of conflicting opinions on what to do about them.

Many consumers have been quite confused about what to do, but the fear of breast cancer is so strong that most would still opt to have mammograms in their 40s, regardless of the new recommendations. The fear of "what if" is just too strong.

Mammograms are reassuring to many women; it feels like something controllable that you can do against the uncontrollable menace of lurking cancer.  And that need for a sense of control against the uncontrollable is very powerful, especially as we pass into middle age and face the specter of our own mortality. So many women are still opting for mammograms in their 40s, no matter what the recommendations say.

Since the Task Force recommendations came out, there have been some follow-up studies that examine the question of whether or not mammograms in a woman's 40s really does present enough benefit to offset the potential harms.  However, these studies have not clarified the issue at all. A 2011 LA Times article summed them up:
Three new studies examining the benefits of mammography have been released since the guidelines were revised, but they have only added to the confusion. 
A study published last March in the journal BMJ compared women who lived in a region of Denmark where mammography screening was offered to those who lived in areas without screening and found no reduction in breast cancer deaths associated with mammography. 
A similar study published in the journal Cancer in September compared breast cancer death rates in women from a region of Sweden with a public mammography program to those in an area without the program and found that deaths were 29% lower in the area with a screening program 
Yet another study that month, published in the New England Journal of Medicine, compared breast cancer deaths in women taking part in a Norwegian national screening program with those who were not screened, looking at mortality rates in those areas before and after the screening program began. This study found that breast cancer deaths had dropped since the mammography program began. But it calculated that most of the improvement was attributable to increased breast cancer awareness, which led women to seek treatment right away for any lumps or bumps they discovered, and new treatments. The contribution of routine mammography to the reduction may have been as small as 2%.
The article notes that the differing findings may be due to differences in study design since the studies above were observational (which may introduce inadvertent bias to the results) and the studies the USPSTF relied on for its guidelines were based on randomized, controlled trials, which are supposed to eliminate this sort of inadvertent bias.  But for the average consumer, the seeming contradictions between studies just muddies the decision waters more.

The problem is that the argument for regular mammograms is very emotionally charged.  Research may show that, on the whole, there is little societal benefit to screening in the 40s, but what if you forego mammograms in your 40s and miss a tumor before it spreads?  What if you are one of the few who might benefit from screening in your 40s?

Some types of breast cancer are very curable if caught early, and cancer is incredibly devastating to women and their families if not caught in time.  The specter of leaving children motherless is a very potent fear, so many women in their 40s opt to have screening anyhow.  And most care providers and medical organizations continue to recommend screening in the 40s for the very same reason.

Yet many of us in the childbirth field know that screening tests can be a blessing and a bane.  We know the harm that can come from injudicious or automatic prenatal screening tests and resulting interventions, and we know that the choice to have such tests are not always so clear-cut.  Yet the pressing question of "what if" and the fear of leaving your children motherless is so potent that many of us are afraid to opt out of testing, even as we intellectually acknowledge that there is a real case to be made for waiting.

Bottom line, there are no clear answers for when screening should begin and how often it should occur, and this is a source of great ongoing controversy.  


Most U.S. medical organizations and prominent medical groups (like ACOG, the American Cancer Society, the National Cancer Institute, and the Mayo Clinic) continue to recommend starting screening at 40, but this recommendation is not unanimous.

The National Breast Cancer Coalition recommends against screening women in their 40s, as does the Canadian Task Force on Preventive Health Care and many European countries. The National Institute of Health convened a conference about the topic, debated long into the night about it, finally recommended against routine screening in the 40s, and then the doctor who convened the conference came out against that recommendation.

Obviously, the issue is very contentious. In the end, it is left to women, in consultation with their providers, to decide what the best course is for their own situations.

Risk Factors for Breast Cancer

If the new trend for mammogram screening is on individualizing recommendations based on each woman's family history and risk factors, let's chat for a moment about these risk factors.

First, it helps to discuss what the risk is of getting breast cancer in the first place:
Age is the most important risk factor for breast cancer. The older a woman is, the greater her chance of developing the disease. Most breast cancers occur in women over the age of 50. The number of cases is especially high for women over age 60. Breast cancer is relatively uncommon in women under age 40. The NCI fact sheet Probability of Breast Cancer in American Women provides more information about lifetime risk. This fact sheet is available at http://www.cancer.gov/cancertopics/factsheet/Detection/probability-breast-cancer on the Internet.
Second, besides age, what are other risk factors for getting breast cancer?  The National Cancer Institute (from the U.S. Government) lists the biggest risk factors as follows:
Personal history of breast cancer―Women who have had breast cancer are more likely to develop a second breast cancer. 
Family history―A woman’s chance of developing breast cancer increases if her mother, sister, and/or daughter have been diagnosed with the disease, especially if they were diagnosed before age 50. Having a close male blood relative with breast cancer also increases a woman's risk of developing the disease. 
Genetic alterations (changes)―Inherited changes in certain genes (for example, BRCA1, BRCA2, and others) increase the risk of breast cancer. These changes are estimated to account for no more than 10 percent of all breast cancers. However, women who carry certain changes in these genes have a much higher risk of breast cancer than women who do not carry these changes. 
Breast density―Women who have a high percentage of dense breast tissue have a higher risk of breast cancer than women of similar age who have little or no dense tissue in their breasts. Some of this increase may reflect the “masking” effect of fibroglandular tissue on the ability to detect tumors on mammograms. 
Certain breast changes found on biopsy―Looking at breast tissue under a microscope allows doctors to determine whether cancer or another type of breast change is present. Most breast changes are not cancer, but some may increase the risk of developing breast cancer. Changes associated with an increased risk of breast cancer include atypical hyperplasia (a noncancerous condition in which cells have abnormal features and are increased in number), lobular carcinoma in situ (LCIS, abnormal cells are found in the lobules of the breast), and DCIS. Because some cases of DCIS will eventually become cancer, this type of breast change is actively treated. Women with atypical hyperplasia or LCIS are usually monitored carefully and not actively treated. In addition, women who have had two or more breast biopsies for other noncancerous conditions also have an increased risk of developing breast cancer. This increased risk is due to the conditions that led to the biopsies and not to the biopsy procedures. 
Reproductive and menstrual history―Women who had their first menstrual period before age 12 or who went through menopause after age 55 are at increased risk of developing breast cancer. Women who had their first full-term pregnancy after age 30 or who have never had a full-term pregnancy are also at increased risk of breast cancer. 
Long-term use of menopausal hormone therapy―Women who use combined estrogen and progestin menopausal hormone therapy for more than 5 years have an increased chance of developing breast cancer. 
Radiation therapy―Women who had radiation therapy to the chest (including the breasts) before age 30 have an increased risk of developing breast cancer throughout their lives. This includes women treated for Hodgkin lymphoma. Studies show that the younger a woman was when she received treatment, the higher her risk of developing breast cancer later in life. 
Alcohol―Studies indicate that the more alcohol a woman drinks, the greater her risk of breast cancer. 
DES (diethylstilbestrol)―The drug DES was given to some pregnant women in the United States between 1940 and 1971 to prevent miscarriage. Women who took DES during pregnancy may have a slightly increased risk of breast cancer. The effects of DES exposure on breast cancer risk in their daughters are unclear and still under study 
Body weight―Studies have found that the chance of getting breast cancer after menopause is higher in women who are overweight or obese. 
Physical activity level―Women who are physically inactive throughout life may have an increased risk of breast cancer. Being active may help reduce risk by preventing weight gain and obesity.
Yes, a higher body weight is listed as being a risk factor for postmenopausal breast cancer, which is probably true. However, they conveniently neglect to mention that a fair amount of research has shown obesity to be a protective factor against pre-menopausal breast cancer.  So how does that figure into mammogram screening decisions for fat women, especially those in their 40s?  More on that in our next post in the series!

The question of breast density is one that is receiving a lot of attention in the research now, with some sources suggesting that more aggressive mammogram screening should be saved for women in their 40s with very dense breasts (as well as those with high personal risk factors, like a family history of breast cancer).

Some authorities also suggest that African-American women begin screening at age 40, because they have higher rates of aggressive breast cancer and lower rates of survival after diagnosis. Because a significant amount of the research on mammogram programs has been done in Scandinavian countries (with predominantly white populations), it is imperative that more research on screening mammography be done among ethnically-diverse communities. Only then will we have a better understanding of the best screening timelines in this group.

The U.S. Government publishes an interactive Breast Cancer Risk Assessment Tool where you can plug in your particular family history and risk factors and figure out your own lifetime risk for getting breast cancer.  It can be found here.  This may help guide you as you consider your decision about when to begin mammograms and how often to have them.

Summary

There's no way to get around it, mammograms are physically and emotionally uncomfortable tests.  If researchers really want to catch more cases of early breast cancer, they really need to develop better tests. They also need a dependable way to determine which tumors are likely to be aggressive and which are likely to be indolent.

But unfortunately, mammography is the only real test we've got, so we have to make due for now. And the fact of the matter is that mammograms clearly DO save lives in older populations. In younger populations, however, the benefit is not quite so clear.

The question is not whether to do screening mammograms, but rather when to start and how often to do them.  And unfortunately, that is not an easy question.

Alas, mammography is not a perfect technology.  It is difficult to interpret the results of some mammograms, so it is easy to inadvertently miss a tumor or to diagnose one that isn't there. Because of the denseness of breast tissue in younger women, there are many false-positives.  In addition, there are many diagnoses of indolent tumors in this age group.  As one source notes:
Mammography is an inefficient method for detecting breast cancer. It’s much better at finding the indolent cancers that would have never caused harm than it is at finding the nasty, aggressive ones most helped by treatment. Statistics show that for 2,000 women screened by mammography over 10 years, one will be prevented from dying of breast cancer and 10 others will receive treatments for a cancer that would have never become life-threatening. That means that screening causes 10 times as many women to become cancer patients unnecessarily as it prevents from dying from breast cancer.
As women age, the benefits of mammography screening definitely begin to outweigh the risks of false-positives and overdiagnosis of indolent tumors.  No one questions whether mammograms are a good thing later in life; they clearly save more lives as women age and breast cancer becomes more prevalent.

No, the question is whether the harms outweigh the benefits for younger women.  And that is a much more difficult question.

The emotional argument is that saving even one life justifies any bother, any expense, any trouble with false-positives.  But taken to its logical extreme, does that mean we should do regular mammograms every year on all women in their 30s?  In their 20s?  In their teens?  What about men, since they get breast cancer too ─ shouldn't we be giving regular mammograms to them? Maybe we should bump up the frequency of mammograms to every 6 months?  Or how about every 3 months, "just in case"? Or every month?

This is the trade-off dilemma of every screening test.  At some point, the expenses and risks of false-positives outweighs the potential benefits of diagnosis.  The question is where you draw the line for benefits versus risks.

It seems clear that mammograms probably do save lives for some women in their 40s, but they probably also result in overdiagnosis and harmful treatment for many others in their 40s.

Weighing the relative public health implications of that and coming up with a reasonable guideline is extremely difficult.

My Personal Decisions

So I'm sure everyone is wondering now, what is my personal opinion on the subject?  Again, I reiterate that I am not an expert on the subject, just a layperson trying to educate herself on the topic.  And I'm not trying to influence anyone's decision on whether or not to screen.  You need to talk this over with your caregiver and make your own decision. But it would be a cop-out at this point to not share my thoughts after everything we've discussed.

Frankly, I found my opinion changing moment to moment, depending on which source I read.  This is a very emotionally charged subject, one with a lot of conflicting analysis from experts.  I truly found it very difficult to make up my mind.

Frankly, I could go either way on the topic.  But if I put on my evidence-based glasses, I tend to err on the side of opting out of screening, at least in the early-to-mid 40s. I found the arguments of the Cochrane group to be quite strong, and I place a lot more importance on the potential harms of overdiagnosis than some do.

And that is exactly what I chose to do in my mid-40s. I'd had many false-alarm mammograms already, due to my fibrocystic lumpiness and my lack of information on family medical history. However, after that I decided to opt out. I was concerned about cumulative exposure from all those mammograms (the radiation dose is very small, but I was concerned about how many I'd have over the course of a lifetime if I continued at the same pace), and I was sick of the frequent testing and associated anxiety. I felt my risk for premenopausal breast cancer was small enough that it wasn't a huge risk to opt out for a while. When the USPSTF guidelines came out, it confirmed to me that opting out was a reasonable decision and I decided to continue to opt out for a while longer.

But then I had a major gut-check, as four women in my circle of friends and family were diagnosed with breast cancer, all in their 40s.  Perhaps some were treated unnecessarily or perhaps some had such aggressive tumors that it wouldn't have made much difference anyhow, but how can you know that?  And that is why I came back to the subject and researched it again. This time it felt much harder to decide. Those anecdotal stories carry so much emotional weight, and the what-ifs are truly frightening.

In the end, age made the decision for me. I turned 50 this year, and all the major guidelines suggest starting screening in the 50s.  So I did, and I was quite relieved that my results were negative. I plan to get screened regularly, especially now that I have found how to make mammograms a bit more comfortable.

If I were to go back, I might consider mammograms near the end of my 40s, since the risk is probably a continuum that increases near the end of the 40s.

But if pressed about what I think others should do, my personal opinion is that it is reasonable for women to either choose to have mammograms OR opt out of them in their 40s. 

I think there is a reasonable argument to be made for either decision. In the early 40s, it seems to me like the balance seems to be in favor of minimal or no screening, but by the late 40s, it seems to me like the balance may start to tip in favor of screening again. And I definitely favor screening once women are at menopause.

Bottom line, to me it seems to me like more research is needed to clarify this issue.  Only then will we be able to more accurately evaluate the relative pros and cons of screening guidelines.

So what's the moral of the story?


The future of mammogram screening is a schedule based on your personal values and your individual risk factors, especially family history and perhaps ethnicity or breast density.  More research is needed to determine the best timing for various combinations of these risk factors.  Until that happens, individual counseling with your care provider is your best option.

What have YOU decided about screening mammograms?  Comments and discussion welcome.

*One option that may help lower the risk for false-positives is having prior mammograms on hand for comparison purposes.  Apparently, this can cut the risk for false-positive results significantly.  Either go to the same screening facility each time so that your prior results are available, or take a copy of your last mammogram with you for comparison. 
**For more information on finding a free or low-cost mammogram, see the bottom of this post.
References

Guidelines About Mammogram Screening
Media Articles About Mammogram Screening Controversies
Research Articles About Utilization and Timing of Mammography
Curr Opin Obstet Gynecol. 2012 Feb;24(1):38-43.  Screening mammography in women less than age 50 years. Kerlikowske K. PMID: 22037165
...RECENT FINDINGS: New data support a 15% reduction in breast cancer mortality for women aged 40-49 years after 10 years of screening; however, the absolute benefit is small and not outweighed by important harms...Risk-based screening that identifies and screens women aged 40-49 years with breast cancer risk similar to an average-risk woman aged 50-59 years results in similar benefits and harms of screening these high-risk women as screening average-risk 50-year-old women. SUMMARY: Practitioners should discuss with women aged 40-49 years the benefits and harms of undergoing screeningmammography before offering them screening. If women elect to undergo screening mammography, they should undergo biennial screening with digital mammography. Targeting screening for those women aged 40-49 years with risk factors that substantially increase the risk of breast cancer, such as high breast density, family history of breast cancer, and history of benign breast biopsy, could maximize the benefits and minimizes the harms of screening this age group.
Cochrane Database Syst Rev. 2011 Jan 19;(1):CD001877. Screening for breast cancer with mammography. Gøtzsche PC, Nielsen M.   PMID: 21249649
...MAIN RESULTS: Eight eligible trials were identified. We excluded a biased trial and included 600,000 women in the analyses. Three trials with adequate randomisation did not show a significant reduction in breast cancer mortality at 13 years (relative risk (RR) 0.90, 95% confidence interval (CI) 0.79 to 1.02); four trials with suboptimal randomisation showed a significant reduction in breast cancer mortality with an RR of 0.75 (95% CI 0.67 to 0.83). The RR for all seven trials combined was 0.81 (95% CI 0.74 to 0.87). We found that breast cancer mortality was an unreliable outcome that was biased in favour of screening, mainly because of differential misclassification of cause of death. The trials with adequate randomisation did not find an effect of screening on cancer mortality, including breast cancer, after 10 years (RR 1.02, 95% CI 0.95 to 1.10) or on all-cause mortality after 13 years (RR 0.99, 95% CI 0.95 to 1.03). Numbers of lumpectomies and mastectomies were significantly larger in the screened groups (RR 1.31, 95% CI 1.22 to 1.42) for the two adequately randomised trials that measured this outcome; the use of radiotherapy was similarly increased. AUTHORS' CONCLUSIONS: Screening is likely to reduce breast cancer mortality. As the effect was lowest in the adequately randomised trials, a reasonable estimate is a 15% reduction corresponding to an absolute risk reduction of 0.05%. Screening led to 30% overdiagnosis and overtreatment, or an absolute risk increase of 0.5%. This means that for every 2000 women invited for screening throughout 10 years, one will have her life prolonged and 10 healthy women, who would not have been diagnosed if there had not been screening, will be treated unnecessarily. Furthermore, more than 200 women will experience important psychological distress for many months because of false positive findings. It is thus not clear whether screening does more good than harm. To help ensure that the women are fully informed of both benefits and harms before they decide whether or not to attend screening, we have written an evidence-based leaflet for lay people that is available in several languages on www.cochrane.dk.
Ann Intern Med. 2009 Nov 17;151(10):727-37, W237-42. Screening for breast cancer: an update for the U.S. Preventive Services Task Force. Nelson HD, Tyne K, Naik A, Bougatsos C, Chan BK, Humphrey L; U.S. Preventive Services Task Force. PMID: 19920273
BACKGROUND: This systematic review is an update of evidence since the 2002 U.S. Preventive Services Task Force recommendation on breast cancer screening. PURPOSE: To determine the effectiveness of mammography screening in decreasing breast cancer mortality among average-risk women aged 40 to 49 years and 70 years or older, the effectiveness of clinical breast examination and breast self-examination, and the harms of screening. DATA SOURCES: Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews (through the fourth quarter of 2008), MEDLINE (January 2001 to December 2008), reference lists, and Web of Science searches for published studies and Breast Cancer Surveillance Consortium for screening mammography data. STUDY SELECTION: Randomized, controlled trials with breast cancer mortality outcomes for screening effectiveness, and studies of various designs and multiple data sources for harms. DATA EXTRACTION: Relevant data were abstracted, and study quality was rated by using established criteria. DATA SYNTHESIS: Mammography screening reduces breast cancer mortality by 15% for women aged 39 to 49 years (relative risk, 0.85 [95% credible interval, 0.75 to 0.96]; 8 trials). Data are lacking for women aged 70 years or older. Radiation exposure from mammography is low. Patient adverse experiences are common and transient and do not affect screening practices. Estimates of overdiagnosis vary from 1% to 10%. Younger women have more false-positive mammography results and additional imaging but fewer biopsies than older women. Trials of clinical breast examination are ongoing; trials for breast self-examination showed no reductions in mortality but increases in benign biopsy results. Limitation: Studies of older women, digital mammography, and magnetic resonance imaging are lacking. CONCLUSION: Mammography screening reduces breast cancer mortality for women aged 39 to 69 years; data are insufficient for older women. False-positive mammography results and additional imaging are common. No benefit has been shown for clinical breast examination or breast self-examination.
Br J Cancer. 2011 Oct 25;105(9):1388-91. doi: 10.1038/bjc.2011.372. Epub 2011 Sep 20. Effects of annual vs triennial mammography interval on breast cancer incidence and mortality in ages 40-49 in Finland. Parvinen I, et al.   PMID: 21934688
...METHODS: Since 1987 in Turku, Finland, women aged 40-49 years and born in even calendar years were invited for mammography screening annually and those born in odd years triennially. The female cohorts born during 1945-1955 were followed for up to 10 years for incident breast cancers and thereafter for an additional 3 years for mortality. RESULTS: Among 14,765 women free of breast cancer at age 40, there were 207 incident primary invasive breast cancers diagnosed before the age of 50. Of these, 36 women died of breast cancer. The mean follow-up time for cancer incidence was 9.8 years and for mortality 12.8 years. The incidence of breast cancer was similar in the annual and triennial invitation groups (RR: 0.98, 95% confidence interval (CI): 0.75-1.29). Further, there were no significant differences in overall mortality (RR: 1.20, 95% CI: 0.99-1.46) or in incidence-based breast cancer mortality (RR: 1.14, 95% CI: 0.59-1.27) between the annual and triennial invitation groups. CONCLUSIONS: There were no differences in the incidence of breast cancer or incidence-based breast cancer mortality between the women who were invited for screening annually or triennially.
BMC Health Serv Res. 2012 Feb 6;12(1):32. Screening mammography beliefs and recommendations: a web-based survey of primary care physicians. Yasmeen S, et al.  PMID: 22309456 
...CONCLUSION: A majority of physicians...favour aggressive breast cancer screening for women from 40 through 79 years of age, including women with short life expectancy. Policy interventions should focus on educating providers to provide tailored recommendations for mammography based on individualized cancer risk, health status, and preferences.
Am Surg. 2012 Jan;78(1):104-6. Annual mammography screening: is it necessary? Hegar V, et al.  PMID: 22273325 
...we proposed a study to evaluate women at our institution in whom breast cancer is diagnosed within 1 year of a previously benign mammogram. A retrospective chart review was performed over a 4-year period...A total of 205 patients were included. The average age was 64 years. From our results, 48 patients, 23 per cent of the total, had a documented benign mammogram at 12 months or less before a breast cancer diagnosis. One hundred forty-three (70%) patients had a benign mammogram at 18 months or less prior. This study raises concern that 2 years between screening mammograms may delay diagnosis and possible treatment options for many women.
Cancer Causes Control. 2012 Jan;23(1):15-21. Epub 2011 Nov 10. Why mammography screening has not lived up to expectations from the randomised trials. Gøtzsche PC, Jørgensen KJ, Zahl PH, Mæhlen J.  PMID: 22072221
We analysed the relation between tumour sizes and stages and the reported effects on breast cancer mortality with and without screening in trials and observational studies. The average tumour sizes in all the trials suggest only a 12% reduction in breast cancer mortality, which agrees with the 10% reported in the most reliable trials. Recent studies of tumour sizes and tumour stages show that screening has not lowered the rate of advanced cancers. In agreement with this, recent observational studies of breast cancer mortality have failed to find an effect of screening. In contrast, screening leads to serious harms in healthy women through overdiagnosis with subsequent overtreatment and false-positive mammograms. We suggest that the rationale for breast screening be urgently reassessed by policy-makers. The observed decline in breast cancer mortality in many countries seems to be caused by improved adjuvant therapy and breast cancer awareness, not screening. We also believe it is more important to reduce the incidence of cancer than to detect it 'early.' Avoiding getting screening mammograms reduces the risk of becoming a breast cancer patient by one-third.
Ann Intern Med 2007; 146: 511-15.  Screening mammography for women 40 to 49 years of age: a clinical practice guideline from the American College of Physicians. Qaseem A, Snow V, Sherif K, Aronson M, Weiss KB, Owens DK; Clinical Efficacy Assessment Subcommittee of the American College of Physicians. PMID: 17404353  Free full text at:  http://www.annals.org/content/146/7/511.long.  Summary for patients at: http://www.annals.org/content/146/7/I-20.long
...The purpose of this guideline is to present the available evidence for screening mammography in women 40 to 49 years of age and to increase clinicians' understanding of the benefits and risks of screening mammography.
J Natl Cancer Inst. 2006 Sep 6;98(17):1204-14. Prospective breast cancer risk prediction model for women undergoing screening mammography. Barlow WE, et al.  PMID: 16954473
...RESULTS: Statistically significant risk factors for breast cancer diagnosis among premenopausal women included age, breast density, family history of breast cancer, and a prior breast procedure. For postmenopausal women, the statistically significant factors included age, breast density, race, ethnicity, family history of breast cancer, a prior breast procedure, body mass index, natural menopause, hormone therapy, and a prior false-positive mammogram. The model may identify high-risk women better than the Gail model, although predictive accuracy was only moderate...CONCLUSION: Breast density is a strong additional risk factor for breast cancer, although it is unknown whether reduction in breast density would reduce risk. Our risk model may be able to identify women at high risk for breast cancer for preventive interventions or more intensive surveillance.

How To Get A Free or Low-Cost Mammogram          
(from  http://www.cancer.gov/cancertopics/factsheet/detection/mammograms
All women age 40 and older with Medicare can get a screening mammogram each year. Medicare will also pay for one baseline mammogram for female beneficiaries between the ages of 35 and 39. There is no deductible requirement for this benefit, but Medicare beneficiaries have to pay 20 percent of the Medicare-approved amount. Information about Medicare coverage is available at http://www.medicare.gov on the Internet, or through the Medicare Hotline at 1–800–MEDICARE (1–800–633–4227). For the hearing impaired, the telephone number is 1–877–486–2048. 
Some state and local health programs and employers provide mammograms free or at low cost. For example, the Centers for Disease Control and Prevention (CDC) coordinates the National Breast and Cervical Cancer Early Detection Program. This program provides screening services, including clinical breast exams and mammograms, to low-income, uninsured women throughout the United States and in several U.S. territories. Contact information for local programs is available on the CDC’s Web site at http://apps.nccd.cdc.gov/cancercontacts/nbccedp/contacts.asp or by calling the CDC at 1–800–CDC–INFO (1–800–232–4636). 
Information about low-cost or free mammography screening programs is also available through NCI’s Cancer Information Service (CIS) at 1–800–4–CANCER (1–800–422–6237). Women can also check with their local hospital, health department, women’s center, or other community groups to find out how to access low-cost or free mammograms.