已发表论文

中国浙江省初产妇单胎剖宫产率趋势及相关因素:一项多中心研究的证据

 

Authors Liu B, Abdi MA , Ma Y

Received 24 October 2024

Accepted for publication 15 May 2025

Published 4 June 2025 Volume 2025:17 Pages 1681—1692

DOI https://doi.org/10.2147/IJWH.S497765

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Elie Al-Chaer

Bingqing Liu,* Mustafe Abdalle Abdi,* Yuanying Ma

Women’s Hospital School of Medicine Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Yuanying Ma, Women’s Hospital, Zhejiang University School of Medicine, Xueshi Road 1, Hangzhou, Zhejiang Province, 310003, People’s Republic of China, Email mayuanying88@zju.edu.cn

Purpose: The overuse of cesarean section (C-section) is a worldwide public health concern, the most effective measure lies in reducing the rate among primiparous women. We aimed to describe the trend, propose reference values and analyze risk factors of C-section among primiparous women in Zhejiang Province, China.
Patients and Methods: We used data of China’s National Maternal Near-Miss Surveillance System from 2012 to 2021. The C-Model was used to calculate the reference values, and logistic regression analysis was employed to explore risk factors.
Results: The C-section rate for primiparous women initially decreased and then rose again, the average rate was 36.1%, with a reference C-section rate of 11.8%. In addition to recognized indications for C-section, we also identified advanced maternal age (OR: 3.21, 95% CI: 3.08, 3.35), higher hospital level (OR: 1.15, 95% CI: 1.13, 1.17), higher education level [college or above: 1.05 (1.02, 1.07); high school: 1.1 (1.08, 1.13)], history of abortion (OR: 1.30, 95% CI: 1.28, 1.32), and male infant (OR: 1.15, 95% CI: 1.13, 1.16) as independent risk factors.
Conclusion: Reducing the C-section rate for primiparous women by two-thirds was possible in Zhejiang. Systemic health policies were urgently needed to further reduce the C-section rate.

Keywords: maternal, C-section, reference C-section rate, C-model, risk factors