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Does Antidepressant Use During Pregnancy Cause Autism or ADHD? A Huge Analysis of 25 Million Pregnancies

Does Antidepressant Use During Pregnancy Cause Autism or ADHD? A Huge Analysis of 25 Million Pregnancies
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A Meta-Analysis Covering 25 Million Pregnancies Disproves a Fear That Has Persisted for Years

One of the questions that worries expectant mothers most is: "Will the medicine I take while pregnant harm my baby?" When it comes to antidepressants, this concern becomes even more intense, because some studies in recent years suggested a possible link between antidepressant use during pregnancy and autism and attention deficit hyperactivity disorder (ADHD) in the child. This concern led many pregnant women with depression to stop their medication abruptly, thereby exposing them to the serious risks created by untreated depression itself. On 14 May 2026, The Lancet Psychiatrypublished a systematic review and meta-analysis, the most comprehensive analysis to date, addressing this question with extraordinary data power: 37 studies, 648.626 antidepressant-exposed pregnancies and approximately 25 million unexposed pregnancies. The result is both clear and methodologically instructive: in the raw data, antidepressant use did indeed appear associated with autism and ADHD, with a 35% higher risk for ADHD and a 69% higher risk for autism. But this association, once maternal mental health, familial/genetic influences and other confounding factors were accounted for, disappeared. Even more strikingly, the same "increased risk", in children with paternal antidepressant use and in children of mothers who had used antidepressants before pregnancy, but not during it, was also observed. This is strong evidence that, rather than the drug, hereditary predisposition and environmental factors are the actual cause. In this article, we will examine the study's findings; explain how "confounding" can create and disprove a scientific fear; and discuss why this result is an exemplary case for both psychiatry and evidence-based medicine in general.
— STUDY DESIGN: WHY IS IT SO STRONG? —

37 Studies, 25 Million Pregnancies and a Decade of Methodological Progress

Previous meta-analyses on this topic were conducted approximately a decade ago and had important limitations: few studies and insufficient control for "confounding by indication." The new meta-analysis has both a much larger data pool and a much more advanced statistical adjustment approach:

STUDY STRUCTURE

  • Scope: 37 studies; 648.626 antidepressant-exposed pregnancies + 24.967.806 unexposed pregnancies. Approximately 25 million pregnancies in total, the largest synthesis on this topic.
  • Outcomes examined: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) in the child.
  • Confounding factors adjusted for: Maternal mental disorders, shared familial and environmental influences, genetic predisposition and misclassification.
  • Elegant methodological controls: The study included three "negative control" comparisons: (1) paternal antidepressant use, (2) antidepressant use before pregnancy but not during it, and (3) high-dose versus low-dose comparisons. These three controls, in relation to the drug's direct fetal effect, were designed to distinguish it from other explanations.
— RAW DATA vs ADJUSTED DATA —

Alarming Numbers, Then an Association That Disappears

The essence of the study lies in comparing raw, unadjusted data with adjusted data:

RR 1,35
Raw data: antidepressants during pregnancy and the child's ADHD risk, a 35% increase
RR 1,69
Raw data: antidepressants during pregnancy and the child's autism risk, a 69% increase
→ neutral
Once confounding factors were adjusted for, the association weakened or disappeared

At first glance, RR 1,35 and RR 1,69 look concerning, especially a 69% higher autism risk, which would make a dramatic headline. But the strength of the study lies in explaining why these numbers arose. Once maternal mental health and familial and genetic influences were accounted for, these associations weakened or lost statistical significance. The most commonly used antidepressants, particularly selective serotonin reuptake inhibitors (SSRIs) , were not found to be associated with autism or ADHD after adjustment.

— THREE ELEGANT "NEGATIVE CONTROLS" —

Three Indirect Pieces of Evidence Proving the Drug Is Innocent

The cleverest aspect of the study is the three "negative control" comparisons used to separate the drug's direct fetal effect from other explanations. If the increased risk really arose from the drug's fetal effect during pregnancy, the risk should not have been seen in these three scenarios. But it was seen, showing that other underlying factors, rather than the drug, are responsible:

NEGATIVE CONTROLS: ASSOCIATIONS THAT SHOULD NOT BE SEEN IF THERE WERE A DIRECT DRUG EFFECT

SCENARIO WAS RISK OBSERVED? MEANING
The father used antidepressants; the fetus is not exposed Yes Genetic/environmental
The mother used them before pregnancy, not during it Yes Genetic/environmental
High-dose versus low-dose difference No significant difference No dose-response = no causality

Let's unpack this logic. If a drug truly harms the fetus: (1) the father's drug use should not affect the child, because the fetus is not exposed to the father's drug; yet the risk was still observed. (2) The mother's use before pregnancy followed by discontinuation should not affect the child, because the fetus was not exposed to the drug during pregnancy; yet the risk was still observed. (3) If there were a genuine drug effect, a high dose should have created more risk than a low dose, a dose-response relationship being a classic indicator of causality; but no significant difference was found. All three negative controls point to the same conclusion: the drug is not responsible; the genetic and environmental background shared by the family is.

📐 "CONFOUNDING BY INDICATION": A STATISTICAL TRAP

This study is a perfect example of one of epidemiology's most insidious traps: "confounding by indication" . The logic is this: women who use antidepressants have something in common: they have depression or anxiety disorders. These mental health conditions are themselves genetically associated with autism and ADHD. In other words, mothers who use antidepressants, not because they take the drug, but because they have the underlying condition that requires the drug, tend to have children at higher risk of autism/ADHD.

Someone looking at the raw data could construct a false causal link of "antidepressant → autism." The actual chain is: "familial genetic predisposition → both depression in the parent, and therefore antidepressant use → and autism/ADHD in the child." In this chain, the drug, an innocent indicator (marker), is not the cause. This is a textbook example of correlation not being causation.

— THE EXCEPTION: TRICYCLIC ANTIDEPRESSANTS —

Amitriptyline and Nortriptyline: the Only Remaining Signal

The study does not simply say that "every antidepressant is innocent"; there is a nuance. Even after adjustment, among the older-generation tricyclic antidepressants, amitriptyline and nortriptylineremained associated with elevated risk in some analyses: amitriptyline with ADHD, RR 1,74, and amitriptyline and nortriptyline together with autism, RR 2,02.

However, the authors also give a careful warning here: these drugs are usually prescribed for more severe or treatment-resistant depression as their indication. In other words, even this remaining association may arise from a more severe underlying mental health condition that requires the drug, rather than from the drug itself: again, confounding by indication. Nevertheless, the authors, taking a cautious approach, imply that when possible care should be taken to avoid recommending these two specific tricyclics during pregnancy.

— THE MAIN MESSAGE: DO NOT STOP TREATMENT ABRUPTLY —

CLINICAL MESSAGE: UNTREATED DEPRESSION ITSELF IS A RISK

The study's most important practical message is: "Antidepressants should not be abruptly discontinued or withheld during pregnancy because of inconsistently reported associations with neurodevelopmental disorders in children." Untreated maternal depression itself is associated with serious adverse health outcomes for both mother and baby: preterm birth, postpartum depression, difficulties in mother-infant bonding and more.

The authors' recommendation is balanced: continuing antidepressant treatment, excluding amitriptyline and nortriptyline, is justified in women with moderate-to-severe depression; for mild depression, nonpharmacological options such as psychotherapy may be preferred, as already recommended in clinical guidelines. The decision therefore, with risk considered not in just one direction but in both directions, requires weighing the presumed risk of the drug against the actual risk of untreated depression.

We know that expectant mothers worry about the possible effects of taking medication during pregnancy; our study provides reassuring evidence that commonly used antidepressants do not increase the risk of neurodevelopmental disorders such as autism and ADHD in children. However, as with all medications, stopping an antidepressant during pregnancy also carries a risk because of relapse. — Wing-Chung Chang, University of Hong Kong, corresponding author of the study; conceptual adaptation

In an independent commentary accompanying the study, Lisa Vitte, Emmanuel Devouche and Gisèle Apter from the University of Rouen in Normandy offered this assessment: the study confirms and expands current knowledge about antidepressant use during pregnancy; these drugs should continue to be used because they protect maternal mental health and do not harm fetal development. The commentators described this as having "a noteworthy impact after many conflicting and controversial studies."

— LIMITATIONS —

An honest reading must also state the limitations. The studies lacked data on some important variables such as socioeconomic status, lifestyle risk factors and low birth weight. Few studies examined antidepressant use in specific trimesters or at precise doses/dose changes. In addition, women prescribed antidepressants generally have more severe depression than those not prescribed them, so some residual bias may remain even after controlling for mental health status. These limitations do not change the direction of the findings, but they limit their degree of certainty; indeed, the certainty of evidence in the raw analysis was graded "very low."

— WHY IS THIS ARTICLE HERE? LITERACY IN READING EVIDENCE —
Why Does This Article Appear on an Oncology Platform? Because at the center of drozdogan.com's content philosophy, alongside oncology news, evidence-based medical literacy also has a place. This study shows with crystal clarity a concept that every modern medical reader must understand: confounding and the distinction between correlation and causation. We encounter the same trap every day in oncology: many headlines such as "this food prevents cancer" or "this habit causes cancer" are false causal constructions arising from unadjusted observational data, just as in this article. The warning that "observational data do not prove causality" in the GLP-1–cancer and sleep–cancer studies we examined in previous articles follows exactly the same logic operating here. This meta-analysis is an exemplary case of how well-designed negative controls can disprove a fear, instructive for every health reader.
⚡ DROZDOGAN ACADEMY: CONCEPTUAL FRAMEWORK
⚡ WHY DOES IT MATTER?

The fear that antidepressant use during pregnancy causes autism/ADHD in the child has led many pregnant women over the years to stop their medication abruptly and face the serious risks of untreated depression. This meta-analysis, published in Lancet Psychiatry on 14 May 2026 and covering 37 studies and ~25 million pregnancies, is the most comprehensive to date and strongly disproves this fear: the association seen in the raw data, ADHD RR 1,35 and autism RR 1,69, disappears after adjustment for confounding factors. Its importance has two layers: (1) reassuring clinical evidence for millions of expectant mothers; (2) an exemplary methodological lesson on confounding and the distinction between correlation and causation.

✅ STRENGTHS

An enormous sample: ~25 million pregnancies, the largest synthesis on this topic. A decade of methodological progress: previous meta-analyses had weak control of confounding. Three elegant "negative controls": paternal use, use before pregnancy and dose-response analysis, all pointing to the drug's innocence. The neutral finding for SSRIs, the most common group, is the most clinically applicable result. Comprehensive adjustment for maternal mental disorders, familial/genetic influences and misclassification. Publication in the prestigious Lancet Psychiatry plus independent expert commentary. A balanced clinical recommendation: the message "do not stop treatment abruptly" also weighs the risk of untreated depression.

⚠️ LIMITATIONS

Missing data on variables such as socioeconomic status, lifestyle risk factors and low birth weight. Few studies examined specific trimesters and exact doses/dose changes. Residual bias: women prescribed antidepressants may have more severe depression, which cannot be fully disentangled even after controlling for mental health. Certainty of evidence in the raw analysis was graded "very low," reflecting the nature of observational data. The exception: amitriptyline, ADHD RR 1,74, and nortriptyline, autism RR 2,02, remained significant in some analyses; but this may also be explained by these drugs being prescribed for more severe depression, or confounding by indication. This is an observational meta-analysis rather than a randomized study; it does not provide absolute proof of causality, but it does provide strong evidence.

🩺 IMPLICATIONS FOR CLINICAL PRACTICE

In pregnant women with moderate-to-severe depression, most antidepressants, particularly SSRIs, should not be abruptly stopped because of fear of neurodevelopmental disorders; untreated depression itself, including preterm birth, postpartum depression and bonding difficulties, is a real risk. For mild depression, nonpharmacological options such as psychotherapy may be preferred, in line with guidelines. A cautious approach during pregnancy may be recommended for amitriptyline and nortriptyline. The decision is always individual: risks and benefits should be weighed through shared decision-making with the patient. Supporting both maternal and paternal mental health is also valuable for the child's neurodevelopment. This study gives clinicians a solid evidence base for reassuring patients with the message: "There is no need to be afraid, but let's make the decision together."

❓ FUTURE QUESTIONS

Is the remaining signal for amitriptyline and nortriptyline a genuine drug effect, or entirely confounding, and can a study be designed to disentangle this? What will more detailed studies of specific trimester and dose-change effects show? Do results change when socioeconomic status and lifestyle factors are fully controlled? How do maternal mental health treatments other than antidepressants, such as psychotherapy and digital interventions, affect neurodevelopmental outcomes? Which new methodological approaches, such as sibling comparisons and Mendelian randomization, can produce stronger evidence in this field to overcome the trap of confounding by indication? What can be done in general health communication to prevent raw observational data from appearing in headlines as "fear"?

References

  1. Chan JK, Zhong A, Lam J, et al. Maternal and paternal antidepressant use before and during pregnancy and offspring risk of neurodevelopmental disorders: a systematic review and meta-analysis. The Lancet Psychiatry 2026;13(6):472-484. DOI: 10.1016/S2215-0366(26)00089-1.
  2. Vitte L, Devouche E, Apter G. Antidepressants in pregnancy: reassurance after years of controversy; accompanying commentary. The Lancet Psychiatry 2026;13(6).
  3. The Lancet Psychiatry. No clear link between common antidepressant use in pregnancy and autism or ADHD in children, finds most comprehensive study to date. Press release, 14 May 2026.
  4. Royal College of Obstetricians and Gynaecologists (RCOG). Presidential statement by Alison Wright: assessment of the pregnancy antidepressant meta-analysis. Science Media Centre expert opinion, May 2026.
  5. Vigod SN, et al. Antidepressant use in pregnancy and neurodevelopmental outcomes: methodological considerations. Literature on confounding by indication methodology.
  6. NICE. Antenatal and postnatal mental health: clinical management and service guidance (CG192). National Institute for Health and Care Excellence. Clinical guideline on managing depression in pregnancy.
  7. ACOG. Treatment and Management of Mental Health Conditions During Pregnancy and Postpartum. American College of Obstetricians and Gynecologists Clinical Practice Guideline, 2023.

This article is intended for medical news/information and does not provide individual treatment guidance. The use, initiation, dose adjustment or discontinuation of antidepressants must be carried out under the supervision of a physician, a psychiatrist and/or an obstetrician-gynecologist. No one taking antidepressants during pregnancy or while planning pregnancy should stop or change their medication on their own based on this article. As the study also emphasizes, abruptly stopping treatment is a risk in itself because of the risk of relapse and the serious consequences of untreated depression. This meta-analysis synthesizes observational studies; it provides strong evidence but is not absolute proof of causality. The association remaining in some analyses for tricyclic antidepressants, amitriptyline and nortriptyline, is a nuance to discuss with your physician. People concerned about mental health during pregnancy should consult a healthcare professional for both their own health and their baby's health. This article has sought to use neutral, nonstigmatizing language about childhood neurodevelopmental disorders, autism and ADHD. All data have been verified from the original Lancet Psychiatry publication, Chan et al., 14 May 2026, and related institutional statements.

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