Multigenerational association between smoking and autism spectrum disorder: findings from a nationwide prospective cohort study.
Gyeyoon YimAndrea L RobertsKristen LyallAlberto AscherioMarc G WeisskopfPublished in: American journal of epidemiology (2024)
Animal studies have shown that exposure to cigarette smoke during pregnancy can induce neurobehavioral anomalies in multiple subsequent generations. However, little work has examined such effects in humans. We examined the risk of grandchild autism spectrum disorder (ASD) in association with grandmother's smoking during pregnancy, using data from 53 562 mothers and grandmothers and 120 267 grandchildren in Nurses' Health Study II. In 1999, Nurses' Health Study II participants with children reported on their mothers' smoking. Grandchildren's ASD diagnoses were reported by the mothers in 2005 and 2009. Among grandmothers, 13 383 (25.0%) smoked during pregnancy, and 509 (0.4%) grandchildren were diagnosed with ASD. The adjusted odds ratio for ASD for grandmother smoking during pregnancy was 1.52 (95% CI, 1.06-2.20). Results were similar with direct grandmother reporting in 2001 of her smoking during pregnancy from the Nurses' Mothers Cohort Study subgroup (n = 22 167 grandmothers, n = 49 917 grandchildren) and were stronger among grandmothers who smoked ≥15 cigarettes per day during pregnancy (adjusted odds ratio = 1.93 [95% CI, 1.10-3.40]; n = 1895 grandmothers, n = 4212 grandchildren). Results were similar when we adjusted for mother's smoking during pregnancy. There was no association with grandfather's smoking as reported by the grandmother. Our results suggest a potential persistent impact of gestational exposure to environmental insults across 3 generations.
Keyphrases
- autism spectrum disorder
- smoking cessation
- healthcare
- attention deficit hyperactivity disorder
- intellectual disability
- mental health
- public health
- clinical trial
- young adults
- pregnant women
- human health
- randomized controlled trial
- health information
- cross sectional
- machine learning
- body mass index
- risk assessment
- artificial intelligence
- electronic health record
- social media
- open label
- case control
- double blind