Preeclampsia Mediates the Association between Advanced Maternal Age and Adverse Pregnancy Outcomes: A Structural Equation Modeling Approach.

Advanced maternal age Adverse pregnancy outcomes Preeclampsia Structural equation modeling

Journal

Iranian journal of public health
ISSN: 2251-6093
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531

Informations de publication

Date de publication:
Sep 2020
Historique:
entrez: 1 3 2021
pubmed: 2 3 2021
medline: 2 3 2021
Statut: ppublish

Résumé

Advanced maternal age (AMA) is considered a risk factor associated with preeclampsia and adverse pregnancy outcomes. We aimed to assess the mediating role of preeclampsia between AMA and adverse pregnancy outcomes. A sample of 14646 pregnant women from the tertiary hospital of Hubei Province, China, during the years 2011-2017 were included in this study. Pregnant women were divided into 4 groups according to their age at delivery. Mediated effect of preeclampsia with relation to AMA and adverse pregnancy outcomes was measured using structural equation modeling. Women in the highest age group were significantly associated with preterm delivery [RR 1.37 (95% CI 1.24 - 1.49)] and low birth weight [RR 1.28 (95% CI 1.11 - 1.45)] compared with women in the lowest age group. The indirect effect (mediated effect) of AMA on preterm delivery and low birth weight mediated by preeclampsia was [β 0.053 (95% CI: 0.047, 0.060)], and [β 0.045 (95% CI: 0.038, 0.052)], respectively. The estimated mediation proportion of the effect of AMA due to mediated effect of preeclampsia was (35.5%) for pre-term delivery and (23.5%) for low birth weight. Preeclampsia partially mediates the association between AMA and adverse pregnancy outcomes.

Sections du résumé

BACKGROUND BACKGROUND
Advanced maternal age (AMA) is considered a risk factor associated with preeclampsia and adverse pregnancy outcomes. We aimed to assess the mediating role of preeclampsia between AMA and adverse pregnancy outcomes.
METHODS METHODS
A sample of 14646 pregnant women from the tertiary hospital of Hubei Province, China, during the years 2011-2017 were included in this study. Pregnant women were divided into 4 groups according to their age at delivery. Mediated effect of preeclampsia with relation to AMA and adverse pregnancy outcomes was measured using structural equation modeling.
RESULTS RESULTS
Women in the highest age group were significantly associated with preterm delivery [RR 1.37 (95% CI 1.24 - 1.49)] and low birth weight [RR 1.28 (95% CI 1.11 - 1.45)] compared with women in the lowest age group. The indirect effect (mediated effect) of AMA on preterm delivery and low birth weight mediated by preeclampsia was [β 0.053 (95% CI: 0.047, 0.060)], and [β 0.045 (95% CI: 0.038, 0.052)], respectively. The estimated mediation proportion of the effect of AMA due to mediated effect of preeclampsia was (35.5%) for pre-term delivery and (23.5%) for low birth weight.
CONCLUSION CONCLUSIONS
Preeclampsia partially mediates the association between AMA and adverse pregnancy outcomes.

Identifiants

pubmed: 33643948
doi: 10.18502/ijph.v49i9.4092
pii: IJPH-49-1727
pmc: PMC7898110
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1727-1733

Informations de copyright

Copyright © 2020 Nawsherwan et al. Published by Tehran University of Medical Sciences.

Déclaration de conflit d'intérêts

Conflict of interest All the authors declare no conflict of interest.

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Auteurs

Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.

Sumaira Mubarik (S)

Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.

Ghulam Nabi (G)

Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.

Suqing Wang (S)

Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.

Cuifang Fan (C)

Department of Obstetrics and Gynecology, Renmin Hospital, Wuhan University, Wuhan, Hubei, China.

Classifications MeSH