Podcasts > The Peter Attia Drive > #367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

By Peter Attia, MD

In this episode of The Peter Attia Drive, Attia examines the significant increase in autism rates over the past two decades and explores various factors that might explain this trend. He breaks down how changes in diagnostic criteria and improved screening processes account for much of the observed increase, while also discussing the role of genetics and environmental factors in autism risk.

The episode addresses recent studies about acetaminophen use during pregnancy and its potential connection to autism. Attia explains the challenges in establishing causality in epidemiological research, examines the current evidence regarding prenatal acetaminophen exposure, and discusses the medication's safety rating for use during pregnancy. The summary provides context for understanding both the rise in autism diagnoses and the various factors that influence autism risk.

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

1-Page Summary

The Rise in Autism Rates and Potential Explanations

Attia discusses how autism rates have increased dramatically, showing a fivefold rise from 6.7 cases per thousand children in 2000 to 32.2 cases per thousand children just three years ago. This complex phenomenon, he explains, likely results from multiple factors rather than a single cause.

Understanding the Increase in Diagnoses

About 40-60% of the increase can be attributed to changes in diagnostic criteria, particularly through revisions to the Diagnostic and Statistical Manual of Mental Disorders (DSM). The remaining 20-30% stems from increased awareness and improved screening processes.

Challenges in Establishing Causality

Attia explains that establishing causality in epidemiological research presents significant challenges. He emphasizes that when studying multiple variables, statistically significant associations can appear by chance. To address this, researchers use the Bradford Hill criteria—nine guiding principles that help distinguish probable causal relationships from mere correlations.

Evidence Regarding Acetaminophen and Autism

While some observational studies suggest a link between prenatal acetaminophen use and autism, Attia points out that the evidence weakens significantly when controlling for genetic and environmental factors. He discusses large-scale studies from Sweden and Japan that found no causal relationship between prenatal acetaminophen exposure and autism when using sibling-controlled analyses.

Acetaminophen Use During Pregnancy

Attia notes that acetaminophen maintains an FDA category B safety rating, indicating general safety during pregnancy. He emphasizes that the benefits of treating maternal fever with acetaminophen may outweigh potential risks, as untreated fever during pregnancy has been linked to various developmental issues.

Role of Genetics and Environmental Factors

According to Attia, genetics account for 80-90% of autism risk variability, as demonstrated through twin studies. However, several environmental factors contribute to increased autism rates, including advanced parental age, maternal obesity, metabolic disorders, preterm birth, and air pollution. He notes that while changes in diagnostic criteria explain much of the increase in autism rates, these environmental factors play a significant role in the disorder's rising prevalence.

1-Page Summary

Additional Materials

Clarifications

  • The Bradford Hill criteria are a set of nine principles used in epidemiology to determine if a causal relationship exists between a potential cause and an observed effect. These criteria help researchers assess the strength of evidence supporting a causal link by considering factors like the strength of the association, consistency of findings, specificity of the relationship, and the temporal sequence of events. They serve as a guideline to distinguish between mere correlations and probable causal relationships in epidemiological studies. Sir Austin Bradford Hill, an English epidemiologist, introduced these criteria in 1965 to provide a structured approach for evaluating causation in public health research.
  • Sibling-controlled analyses involve comparing siblings within the same family to investigate the impact of a particular factor, such as prenatal acetaminophen exposure, on a specific outcome like autism. By using siblings as their own controls, researchers can account for shared genetic and environmental factors, providing a more robust method to assess the potential causal relationship between the exposure and the outcome. This approach helps minimize confounding variables that could influence the results, offering a more reliable way to evaluate associations between exposures and health outcomes in observational studies.
  • The FDA category B safety rating indicates that a substance, like acetaminophen in this case, has not been shown to cause harm to fetuses in animal studies, but there are limited or no controlled studies in pregnant women. This rating suggests that while there is no direct evidence of risk, caution is still advised when using the substance during pregnancy. It is a classification used by the U.S. Food and Drug Administration to guide healthcare providers and pregnant individuals on the safety of medications during pregnancy.

Counterarguments

  • The attribution of 40-60% of the increase in autism diagnoses to changes in diagnostic criteria might be an oversimplification, as it can be difficult to quantify the exact impact of such changes.
  • The remaining 20-30% attributed to increased awareness and screening could also be influenced by other unaccounted factors that might either inflate or deflate the true increase in autism prevalence.
  • While the Bradford Hill criteria are a robust method for establishing causality, they are not foolproof and can still be subject to interpretation and bias.
  • The assertion that genetics account for 80-90% of autism risk variability, primarily based on twin studies, may not fully account for the complex interplay between genetics and environmental factors.
  • The safety rating of acetaminophen (FDA category B) during pregnancy does not preclude the possibility of subtle or long-term effects that might not be immediately apparent or easily studied.
  • The counterargument that large-scale studies found no causal relationship between prenatal acetaminophen exposure and autism might overlook the limitations of such studies, including potential residual confounding factors.
  • The list of environmental factors contributing to increased autism rates may not be exhaustive, and other yet unidentified factors could also be playing a role.
  • The role of environmental factors in the rising prevalence of autism might be understated or overstated due to the complexity of measuring environmental exposures and their interactions with genetic predispositions.

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

The Rise in Autism Rates and Potential Explanations

The dramatic rise in autism rates over the past generation is a complex phenomenon that experts believe is influenced by multiple factors, rather than a single cause.

Autism Rates Have Increased 5-Fold In Prevalence

Attia points out that complex conditions, such as obesity and autism, typically result from a confluence of factors rather than from a singular cause.

Autism Rates Rise Not Due to Single Cause; Complex Conditions Have Multiple Factors

The prevalence of autism has shown a significant increase, growing from 6.7 cases per thousand children in the year 2000 to 32.2 cases per thousand children just three years ago. Attia notes that the general population’s rate of autism reflects a fivefold increase, with current statistics standing at 3%. This is a stark contrast to the 0.7% rate observed between 1998 and 2004. Nick Stenson echoes these observations by acknowledging the multifaceted nature of the rise, which suggests that the surge in autism diagnoses could be linked to various factors.

Autism Diagnoses Rise: 40-60% Due to Criteria Changes, 20-30% From Increased Awareness

Expanded Criteria Increase Autism Diagnoses

Contributing to the rise in autism diagnoses, the Diagnostic and Statistical Manual of Mental Disorders (DSM) has undergone significant changes. The 1987 revision transitioned from a strict definition to a symptomatic checklist for autism disorder. Further revisions came with the DSM-V i ...

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The Rise in Autism Rates and Potential Explanations

Additional Materials

Clarifications

  • The prevalence of autism has increased significantly over the years, with rates rising from 6.7 cases per thousand children in 2000 to 32.2 cases per thousand children recently. This increase reflects a fivefold rise in autism diagnoses, indicating a substantial shift in the observed rates. The surge in autism cases is attributed to various factors, including changes in diagnostic criteria and increased awareness and screening practices. These statistics highlight the evolving landscape of autism diagnosis and the need for a comprehensive understanding of the contributing factors.
  • The percentage breakdown of the rise in autism diagnoses indicates that 40-60% of the increase can be attributed to changes in diagnostic criteria, while 20-30% is due to heightened awareness and improved screening practices. This means that alterations in how autism is defined and identified have had a significant impact on the observed rise in diagnoses. The Diagnostic and Statistical Manual of Mental Disorders (DSM) revisions and increased awareness have played key roles in the increased identification of autism cases. These changes have led to a better understanding and recognition of autism spectrum disorders, contributing to the higher rates of diagnosis seen in recent years.
  • The Diagnostic and Statistical Manual of Mental Disorders (DSM) is a widely used guide for diagnosing mental health conditions. Revisions to the DSM have impacted autism diagnoses by changing the criteria used to identify and classify autism spectrum disorders. The DSM-V, released in 2013, consolidated various subtypes of autism into a single category known as Autism Spectrum Disorder (ASD), leading to a broader and more inclusive diagnostic framework. These revisions have influenced the increase in autism diagnoses by providing a more comprehensive and updated understanding of the spectrum of autism-related conditions.
  • In the past, autism was classified into separate subtypes like autistic disorder, Asperger's syndrome, and pervasive developmental disorder not otherwise specified (PDD-NOS). The DSM-V, released in 2013, combined these subtypes under one umbrella term: Autism Spectrum Disorder (ASD). This change aimed t ...

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

The Challenges Of Establishing Causality in Epidemiological Research

Establishing causality in epidemiological research is a complex process fraught with challenges, as discussed by Peter Attia and his peers.

Chance Leads To Significant Associations Between Unrelated Variables in Epidemiological Research With Multiple Comparisons

Attia points out the multiple comparisons problem, a statistical challenge where researching potential associations between numerous variables—as in the case of autism—can lead to statistically significant findings purely by chance. This is because the large number of comparisons increases the likelihood of stumbling upon associations that have no real connection.

Epidemiological Studies Suggest Causal Probabilities, Not Absolute Proofs, Due to Limitations

He explains that epidemiology in biology aims at determining the likelihood of causality rather than proving causation outright, due to the involvement of probabilities. Attia illustrates the ease of finding correlations between unrelated variables, such as the non-related trends of margarine consumption and divorce rates in Maine. He warns against the assumption that significant associations found in epidemiological research are indicative of a causal link.

Science Involves Revising Understanding as New Evidence Emerges

Using Bradford Hill Criteria to Assess Causal Relationships

Attia discusses how the Bradford Hill criteria—a set of nine guiding principles—can be useful in discerning probable causal relationships from mere correlations in epidemiological studies, especially when randomized controlled trials (RCTs) aren't possible. He states that science is continually evolving and emphasizes the importance of remaining open to new evidence that could alter pre-existing beliefs, viewing this adaptability as a strength of scientific inquiry.

The criteria, which include considering the strength of association, consistency, biological plausibility, and temporality, can help differentiate correlations that are likely causal from those that aren't.

Attia applies the Bradford Hill criteria to the example of smoking and lung cancer to illustrate strong associations that are more probable to be causal. However, he notes that in the case of acetaminophen use during pregnancy and the risk of autism, the associati ...

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The Challenges Of Establishing Causality in Epidemiological Research

Additional Materials

Clarifications

  • In epidemiological research, the multiple comparisons problem arises when researchers analyze many variables simultaneously, increasing the likelihood of finding statistically significant results by chance. This statistical challenge can lead to false associations between variables that are not truly related. It is crucial for researchers to account for this issue to avoid drawing incorrect conclusions based on chance findings.
  • The Bradford Hill criteria are a set of principles used in epidemiology to assess the likelihood of a causal relationship between two factors. These criteria include aspects like the strength of the association, consistency of findings, temporality (the cause preceding the effect), biological plausibility, coherence with existing knowledge, and analogy to similar situations. They help researchers evaluate whether an observed association is more likely to be causal or simply due to chance or bias.
  • Strength, consistency, specificity, temporality, biological gradient, plausibility, and analogy are factors used in epidemiology to evaluate causal relationships.

  • Strength: Refers to the size of the association observed.

  • Consistency: Indicates whether the association is consistently observed in different studies.
  • Specificity: Considers whether a specific exposure leads to a specific outcome.
  • Temporality: Focuses on the sequence of events, establishing that the cause precedes the effect.
  • Biological gradient: Examines if there is a dose-response relationship between exposure and outcome.
  • Plausibility: Considers if the proposed causal re ...

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

Link Between Acetaminophen and Autism Evidence

Peter Attia and guests engage in a nuanced discussion on the potential link between prenatal acetaminophen use and autism spectrum disorder (ASD), considering various studies and their methodologies.

Pregnancy Acetaminophen Use Linked To Autism Risk

Recent stories and observational studies have reported a consistent association between prenatal acetaminophen use and autism spectrum disorder (ASD). However, Peter Attia emphasizes the complexity of the issue and the need to critically analyze such claims, as not all studies show a significant link between acetaminophen use and the risk of autism. He points out inconsistencies and the importance of considering dose-response relationships and biological plausibility when interpreting these findings.

Small Effect Sizes Vanish With Sibling-Controlled Analyses Accounting For Family Genetics and Environment

Attia mentions a study highlighting the importance of accounting for genetic and environmental factors when assessing risk. In these sibling-controlled analyses, small effect sizes linking acetaminophen use to autism vanish, suggesting that previously reported links could be attributed to confounding factors present in the shared family environment or genetics.

Inconsistent Dose-Response Relationships and Weak Biological Plausibility

Attia discusses the inconsistent dose-response relationship reported in the studies on acetaminophen use during pregnancy. This inconsistency raises questions regarding the biological plausibility of a causal link to autism. He also remarks on the quick elimination of acetaminophen from the body, which complicates the assessment of exposure during pregnancy.

Peter Attia delves into the findings of various studies and systematic reviews that have adjusted for confounding factors when examining the potential link between prenatal acetaminophen use and ASD. He argues that after these confounders are addressed, the purported link becomes statistically insignificant.

Referring to a large Swedish cohort study, Attia discusses how researchers conducted sibling analyses to control for family environment and genetics. These analyses found no significant difference in autism risk between siblings exposed to acetaminophen and those who were not, suggesting that the previously observed association was non-causal and possibly due to confounding factors. The study's findi ...

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Link Between Acetaminophen and Autism Evidence

Additional Materials

Actionables

  • You can create a personal health journal to track medication use and any health changes during pregnancy, which can help you and your healthcare provider make informed decisions. Start by noting down daily health observations, any medications taken, and the reasons for taking them. This habit can provide valuable data over time, which could be useful for personal health assessments or discussions with your doctor.
  • Develop a habit of reviewing scientific literature summaries on health topics of interest to stay informed about the latest research findings. Websites like PubMed Health or Cochrane Library offer layperson-friendly summaries of medical studies. By regularly reading these summaries, you can better understand the nuances of medical research and how it might relate to your health choices.
  • Engage in conversations with healthcare professionals about the risks and b ...

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

Risks and Benefits of Acetaminophen Use During Pregnancy

Peter Attia, along with questions from Nick Stenson, delve into the complex decision-making process around the use of acetaminophen during pregnancy—balancing treatment needs and potential risks.

Acetaminophen Safe in Pregnancy, Fda Category B

Balancing Risks and Benefits Of Acetaminophen for Maternal Use

Attia advises pregnant women to generally minimize medication use but acknowledges conditions treated by these medicines could affect the child, necessitating a balance. Acetaminophen, known by the brand name Tylenol, fits into FDA category B. This indicates that animal studies mostly show no risk or any risk from animal studies is not confirmed in adequate human epidemiological studies, generally showing safety. Attia notes the simple letter system used by the FDA for classifying drugs, with category B generally considered safe but should be used with caution. Acetaminophen has been debated whether it should be classified as category B or C over the past decade, with the decision to use it during pregnancy involving the evaluation of Tylenol exposure to the baby against the health and well-being of the mother.

Maternal Fever/Infection in Pregnancy Linked To Autism, Neurodevelopmental Disorders Risks

Use of Acetaminophen to Reduce Fever

Children born to mothers who experience fever, especially in the ...

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Risks and Benefits of Acetaminophen Use During Pregnancy

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Counterarguments

  • While acetaminophen is categorized as FDA Category B, some studies suggest there may be potential risks not yet fully understood, and the classification does not guarantee absolute safety.
  • The recommendation to minimize medication use during pregnancy might overlook the complexity of individual health scenarios where medication could be necessary for the mother's health, which in turn supports the fetus's health.
  • The safety of acetaminophen supported by animal studies may not fully translate to human safety, as animal models do not always perfectly mimic human physiology and development.
  • Evaluating the exposure of acetaminophen to the baby against the mother's health is a nuanced decision that might require more personalized approaches rather than a one-size-fits-all recommendation.
  • The link between maternal fever/infection and neurodevelopmental disorders is complex and may involve multiple factors beyond fever itself, such as the underlying cause of the fever and genetic predispositions.
  • The assertion that medication like Tylenol may reduce risks to neurodevelopment is based on observational s ...

Actionables

  • Create a personalized medication plan by consulting with your healthcare provider to determine when and how to use acetaminophen during pregnancy. This plan should include specific scenarios, such as the onset of fever or pain, and outline the recommended dosages and frequency. For example, you might agree on a protocol for when your temperature exceeds a certain threshold or when experiencing specific types of pain.
  • Develop a fever management toolkit to keep at home, which includes a reliable digital thermometer, acetaminophen as advised by your doctor, and non-medication fever reducers like cool packs and light clothing. This ensures you're prepared to act quickly and effectively if you develop a fever, reducing the time your body remains at a higher temperature.
  • Educate yourself on the signs of infection and feve ...

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#367 - Tylenol, pregnancy, and autism: What recent studies show and how to interpret the data

Role of Genetics and Environmental Factors in Autism

Research suggests that genetics play a predominant role in autism risk, while environmental factors also contribute to its variability and incidence.

Genetics Account For 80-90% of Autism Risk Variability

Genetics are estimated to account for 80 to 90% of the inter-individual variability in autism risk. Studies comparing monozygotic (identical) and dizygotic (fraternal) twins show a higher concordance of autism in monozygotic twins, strongly suggesting the impact of genetic factors. Monozygotic twins, being genetically identical, and dizygotic twins, having the genetic similarities of siblings, experience the same in utero environment and are generally raised together. The significant difference in autism correlation between the two sets of twins underscores the influence of genetics. However, genetics cannot fully explain the rapid increase in autism diagnoses as genetic shifts over short time spans are insufficient to account for this change.

Risk Factors For Autism: Advanced Parental Age, Maternal Obesity, Metabolic Disorders, Preterm Birth, Air Pollution

Dr. Peter Attia identifies several environmental factors that have contributed to the increase in autism, even while acknowledging the strong influence of genetics. Advancing parental age, especially paternal age over 40 at the time of offspring birth, accounts for about 5 to 15% of the increase in autism prevalence. The prevalence of maternal obesity and metabolic diseases has also climbed steadily. This rise in obesity rates among women at conception is significant and is considered a contributing factor to autism. Additionally, the rates of preterm and early term births have increased since at least 1980, and over 35% of births in the Gee study were preterm, indicating a potential linked risk factor.

Air pollution, particularly PM2.5 particles which can enter the bloodstream after inhalation, is linked to autism. Dr. Attia cites the effects of industrialization in countries like China and India, as well as wildfires in the United States, as exacerbating contributors.

Factors Increasing Autism Diagnoses Beyond Criteria and Awareness Changes

While there has been a notable increase in autism diagnoses due to an expanding definition of the disorder and greater awareness, a portion of the rise can be attributed ...

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Role of Genetics and Environmental Factors in Autism

Additional Materials

Counterarguments

  • The estimation that genetics account for 80-90% of autism risk variability might be oversimplified, as this figure can vary depending on the population studied and the methodologies used.
  • While twin studies are informative, they may not fully capture the complexity of environmental interactions that can occur in non-twin populations.
  • The contribution of advanced parental age to autism risk might be confounded by other factors associated with older age, such as increased exposure to environmental toxins or changes in health status.
  • The link between maternal obesity and autism could be influenced by other variables, such as socioeconomic status, access to healthcare, or nutritional factors, which might not be fully accounted for in studies.
  • The association between preterm birth and autism risk might also reflect underlying genetic vulnerabilities or other environmental stressors that lead to preterm birth, rather than preterm birth itself being a causal factor.
  • The relationship between air pollution and autism, while supported by some studies, may not be causal; it could be that air pollution is a marker for other urban environmental stressors.
  • The assertion that factors beyond changes in diagnostic criteria and awareness contribute to the increase in autism diagnoses could be challenged by the argument that our understanding of what constitutes autism is still evolving, and this evolution could ...

Actionables

  • You can reduce potential environmental risk factors for autism by using air purifiers with HEPA filters in your home to minimize exposure to PM2.5 particles. Since air pollution has been linked to autism, using air purifiers can help create a cleaner indoor environment, which might be particularly beneficial if you live in a high pollution area or have a family history of autism.
  • Consider planning parenthood at an age that balances personal, professional, and health factors, given the association between advanced parental age and autism risk. While it's not always possible to control when you have children, being aware of the risks associated with older parental age can inform your family planning decisions. For example, if you're approaching an age where the risk increases, you might prioritize discussions about family planning sooner rather than later.
  • Opt for a healthy lifestyle that includes a balanced diet and regular exercise to manage weig ...

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