{"doi":"10.1002/oby.23710","title":"<scp>Prepregnancy</scp> BMI, gestational weight gain, and susceptibility to <scp>autism‐related</scp> traits: the <scp>EARLI</scp> and <scp>HOME</scp> studies","abstract":"OBJECTIVE: Excessive gestational weight gain (GWG) has been associated with autism spectrum disorder (ASD). This study sought to examine whether familial susceptibility for autism, intensity of ASD-related behaviors, or prepregnancy BMI influences the association of GWG with ASD-related behaviors. METHODS: Using data from the Early Autism Risk Longitudinal Investigation (EARLI) study (n = 136), a familial enriched cohort of mothers who had a previous child with ASD, and the Health Outcomes and Measures of the Environment (HOME) study (n = 253), a general population cohort, gestational age and prepregnancy BMI category-specific GWG z scores were calculated. Caregivers completed the Social Responsiveness Scale (SRS) to assess the presence and severity of ASD-related traits in children aged 3 to 8 years. Using quantile regression, the association between GWG z scores and ASD-related behaviors in children was estimated. RESULTS: In HOME, among mothers who had overweight or obesity prepregnancy BMI values, GWG z scores and SRS scores were positively associated in children with more ASD-related traits (higher SRS scores), but not in children with fewer ASD-related traits. Similar patterns were observed in EARLI among mothers with prepregnancy obesity. CONCLUSIONS: GWG may be associated with autism-related behaviors among children who have a greater predisposition to these behaviors and who have mothers with prepregnancy overweight or obesity.","journal":"Obesity","year":2023,"id":368563,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7033,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":275581,"name":"Lisa Croen","orcid":"0000-0001-7849-9428","position":1,"is_corresponding":false},{"id":301983,"name":"Aimin Chen","orcid":"0000-0001-9713-6438","position":2,"is_corresponding":false},{"id":289395,"name":"M. Daniele Fallin","orcid":"0000-0002-9948-3908","position":3,"is_corresponding":false},{"id":382953,"name":"Jane Khoury","orcid":"0000-0002-8064-6404","position":4,"is_corresponding":false},{"id":289392,"name":"Kristen Lyall","orcid":"0000-0002-4633-0799","position":5,"is_corresponding":false},{"id":289393,"name":"Craig J. Newschaffer","orcid":"0000-0002-4148-3593","position":6,"is_corresponding":false},{"id":104429,"name":"Irva Hertz‐Picciotto","orcid":"0000-0001-6952-2390","position":7,"is_corresponding":false},{"id":288819,"name":"Rebecca J. Schmidt","orcid":"0000-0003-1582-2747","position":8,"is_corresponding":false},{"id":301982,"name":"Kimberly Yolton","orcid":"0000-0002-4458-0516","position":9,"is_corresponding":false},{"id":275578,"name":"Joseph M. Braun","orcid":"0000-0002-5239-3235","position":10,"is_corresponding":false},{"id":382674,"name":"Marisa A. Patti","orcid":"0000-0003-1113-3207","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-19T01:15:24.517012Z","pmid":"37140384","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}