Association between multimorbidity of pregnancy and adverse birth outcomes: A systemic review and Meta-analysis.

Adverse birth outcomes, association Complications Multimorbidity Pregnancy and childbirth

Journal

Preventive medicine
ISSN: 1096-0260
Titre abrégé: Prev Med
Pays: United States
ID NLM: 0322116

Informations de publication

Date de publication:
23 Jan 2024
Historique:
received: 18 07 2023
revised: 18 12 2023
accepted: 18 01 2024
medline: 26 1 2024
pubmed: 26 1 2024
entrez: 25 1 2024
Statut: aheadofprint

Résumé

Multimorbidity (≥2 co-existing conditions) in pregnancy is a significant public health issue with a rising prevalence worldwide. However, the association between pregnancy multimorbidity and adverse birth outcomes is unclear. So, this review assessed the association between pregnancy-multimorbidity and adverse birth outcomes (preterm birth, abnormal birth weight, neonatal mortality, and stillbirth). Relevant peer-reviewed papers in PubMed, Web of Science, Elsevier/ScienceDirect, and Google Scholar were systematically search from January 1990 to March 2023. We used the random-effects model to calculate the multimorbidity pooled odds ratio, quantified heterogeneity using I

Identifiants

pubmed: 38272269
pii: S0091-7435(24)00027-6
doi: 10.1016/j.ypmed.2024.107872
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

107872

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Prince L Bestman (PL)

Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China.

Edwina M Kolleh (EM)

Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan Province, China.

Eva Moeng (E)

Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China.

Tesfit Brhane (T)

Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan Province, China.

Musa Nget (M)

Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan Province, China.

Jiayou Luo (J)

Department of Maternal and Children Health, Xiangya School of Public Health, Central South University, Changsha 410078, Hunan Province, China.. Electronic address: jiayouluo@126.com.

Classifications MeSH