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Non-linear Relationship of Maternal Age With Risk of Spontaneous Abortion: A Case-Control Study in the China Birth Cohort

Authors :
Man Zhang
Bo-Yi Yang
Yongqing Sun
Zhengmin Qian
Pamela K. Xaverius
Hannah E. Aaron
Xiaoting Zhao
Zheng Zhang
Ruixia Liu
Guang-Hui Dong
Chenghong Yin
Wentao Yue
Source :
Frontiers in Public Health, Vol 10 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundSpontaneous abortion is one of the prevalent adverse reproductive outcomes, which seriously threatens maternal health around the world.ObjectiveThe current study is aimed to evaluate the association between maternal age and risk for spontaneous abortion among pregnant women in China.MethodsThis was a case-control study based on the China Birth Cohort, we compared 338 cases ending in spontaneous abortion with 1,352 controls resulting in normal live births. The main exposure indicator and outcome indicator were maternal age and spontaneous abortion, respectively. We used both a generalized additive model and a two-piece-wise linear model to determine the association. We further performed stratified analyses to test the robustness of the association between maternal age and spontaneous abortion in different subgroups.ResultsWe observed a J-shaped relationship between maternal age and spontaneous abortion risk, after adjusting for multiple covariates. Further, we found that the optimal threshold age was 29.68 years old. The adjusted odds ratio (95% confidence interval) of spontaneous abortion per 1 year increase in maternal age were 0.97 (0.90–1.06) on the left side of the turning point and 1.25 (1.28–1.31) on the right side. Additionally, none of the covariates studied modified the association between maternal age and spontaneous abortion (P > 0.05).ConclusionsAdvanced maternal age (>30 years old) was significantly associated with increased prevalence of spontaneous abortion, supporting a J-shaped association between maternal age and spontaneous abortion.

Details

Language :
English
ISSN :
22962565
Volume :
10
Database :
Directory of Open Access Journals
Journal :
Frontiers in Public Health
Publication Type :
Academic Journal
Accession number :
edsdoj.19288ba0f97a479ea070c61585ff2a34
Document Type :
article
Full Text :
https://doi.org/10.3389/fpubh.2022.933654