1. The role of multiple birth and birth complications in the association between assisted reproductive technology conception and autism diagnosis.
- Author
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Winter AS, Yartel AK, Fountain C, Cheslack-Postava K, Zhang Y, Schieve LA, Kissin DM, and Bearman P
- Subjects
- Humans, Female, Pregnancy, California epidemiology, Adult, Male, Premature Birth epidemiology, Multiple Birth Offspring statistics & numerical data, Infant, Newborn, Cesarean Section statistics & numerical data, Pregnancy, Multiple statistics & numerical data, Pregnancy Complications epidemiology, Autistic Disorder epidemiology, Autistic Disorder etiology, Reproductive Techniques, Assisted adverse effects, Reproductive Techniques, Assisted statistics & numerical data
- Abstract
In recent decades, the use of assisted reproductive technology (ART) has increased rapidly. To assess the relationship between ART and autism diagnosis, we linked California birth records from 2000 through 2016 with contemporaneous records from the National ART Surveillance System (NASS) and autism caseload records from California's Department of Developmental Services from 2000 through November 2019. All 95 149 birth records that were successfully linked to a NASS record, indicating an ART birth, were matched 1:1 using propensity scores to non-ART births. We calculated the hazard risk ratio for autism diagnosis and the proportions of the relationship between ART conception and autism diagnosis mediated by multiple birth pregnancy and related birth complications. The hazard risk ratio for autism diagnosis following ART compared with non-ART conception is 1.26 (95% CI, 1.17-1.35). Multiple birth, preterm birth, and cesarean delivery jointly mediate 77.9% of the relationship between ART conception and autism diagnosis. Thus, increased use of single embryo transfer in the United States to reduce multiple births and related birth complications may be a strategy to address the risk of autism diagnosis among ART-conceived children., (Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2024.)
- Published
- 2024
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