{"doi":"10.51757/ijehs.5.2024.710806","title":"Maternal Inflammation, Offspring Neurobehavioral Health, and Perinatal Correlates in the Healthy Start Study","abstract":"Background: In utero exposure to increased inflammation caused by acute experiences may negatively impact on child neurodevelopment, but little is known about the effects of low-grade chronic inflammation. We wanted to investigate prenatal inflammation, as indicated by biomarkers of low-grade chronic inflammation, as an in utero programming method for neurodevelopment, and see how much of these associations are explained by perinatal factors. Methods: We utilized linear regression to analyze the relationship between prenatal C-reactive protein, interleukin-6, and tumor necrosis factor-α and offspring Child Behavior Check List scores for total problems, externalizing and internalizing behaviors in 489 mother-offspring pairs from the Healthy Start cohort, based in Denver, Colorado, USA. We made sequential adjustments for perinatal correlates. Model 1 considered maternal age, gestational age at blood draw, and child age. Model 2 included further adjustments for mother race/ethnicity, followed by household income in Model 3 and pre-pregnancy body mass index (BMI) in Model 4. Finally, we used the maternal Edinburgh Postnatal Depression Scale and Perceived Stress Scale scores as measures of psychosocial stress. Results: In Model 1, children of mothers with C-reactive protein in the fourth quartile had a 3.82 (95% CI: 0.94, 6.70) unit higher t-score for total problems compared to those in the first to third quartiles. The inclusion of household income and pre-pregnancy BMI in the fully adjusted model reduced the impact estimate to 3.11 (-0.45, 6.67). We found a similar pattern in externalizing behavior and across models for interleukin 6. Conclusions: Maternal inflammation is associated with worse neurobehavioral outcomes in children. This association was influenced by higher pre-pregnancy BMI and lower household income.","journal":"International Journal of Epidemiology and Health Sciences","year":2024,"id":462649,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9557,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":249641,"name":"Dana Dabelea","orcid":"0000-0001-9514-8929","position":1,"is_corresponding":false},{"id":461315,"name":"Angela E. Lee‐Winn","orcid":"0000-0003-2777-9125","position":2,"is_corresponding":false},{"id":312593,"name":"Deborah H. Glueck","orcid":"0000-0003-0047-8939","position":3,"is_corresponding":false},{"id":387900,"name":"Greta Wilkening","orcid":"0000-0002-9665-1304","position":4,"is_corresponding":false},{"id":301092,"name":"Wei Perng","orcid":"0000-0001-8552-6850","position":5,"is_corresponding":false},{"id":1155571,"name":"Satvinder K. Dhaliwal","orcid":null,"position":0,"is_corresponding":true}],"reference_count":57,"raw_metadata":null,"created_at":"2026-07-19T02:04:24.680035Z","pmid":null,"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":[]}