Association between birth weight/joint exposure to ambient air pollutants and type 2 diabetes: a cohort study in the UK Biobank.

Type 2 diabetes UK biobank air pollution score birth weight joint effect

Journal

International journal of environmental health research
ISSN: 1369-1619
Titre abrégé: Int J Environ Health Res
Pays: England
ID NLM: 9106628

Informations de publication

Date de publication:
07 Nov 2023
Historique:
medline: 8 11 2023
pubmed: 8 11 2023
entrez: 8 11 2023
Statut: aheadofprint

Résumé

Early life events and environmental factors are associated with type 2 diabetes (T2D) development. We assessed the combined effect of birth weight andambient air pollutants, and effect of their interaction on T2D risk. Totally, 6,474 T2D incidents were recorded over an 8.7-year follow-up period. The adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) were 1.31 (1.26, 1.36) for each kilogram decrease in birth weight, and 1.08 (1.05, 1.11) for each standard deviation increase in air pollution score (APS). Birth weight<3000 g amplified the T2D risk associated with high APS. A combination of the lowest birth weight (<2500 g) and the highest quintile of APS led to over two-fold increase in T2D risk (aHR: 2.17; 95% CI: 1.79-2.64). There was a significant additive interaction between them. In conclusion, ambient air pollutants increase the risk for T2D, particularly in populations with low birth weight.

Identifiants

pubmed: 37936397
doi: 10.1080/09603123.2023.2278634
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-11

Auteurs

Xiaojing Liu (X)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China.

Xiaowen Liu (X)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China.

Ming Jin (M)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China.

Ninghao Huang (N)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.

Zimin Song (Z)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.

Nan Li (N)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China.

Tao Huang (T)

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Ministry of Education, Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Beijing, China.
Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China.

Classifications MeSH