Why Low-Risk Primiparous Women Opt for Cesarean Section: A Social Media Perspective

Purpose: To identify the key factors influencing the decision of low-risk primiparous women to opt for cesarean section (CS), and to provide empirical evidence for optimizing maternal health interventions and reducing unnecessary CS intention. Patients and Methods: A cross-sectional study was conducted among low-risk primiparous women who had no medical indications for CS. A total of 459 valid questionnaires were obtained through stratified sampling. SmartPLS software was used to conduct structural equation modeling (SEM) and multigroup analysis (MGA) to examine the relationship between social media exposure and cesarean section intention, the mediating effects of social norm and self-efficacy, and the model's stability across demographic subgroups. Results: Social media exposure directly and positively predicted cesarean section intention (β = 0.260, p < 0.001). Social media exposure also showed significant indirect associations with cesarean section intention mediated through social norm (β = 0.164, p < 0.001) and self-efficacy (β = 0.074, p < 0.001). Furthermore, multigroup analysis indicated that while the overall mediation framework remained stable, specific influence pathways exhibited significant variations across age and occupational groups. Conclusion: This study clarifies the underlying mechanisms through which social media exposure shapes cesarean section intention. These findings provide empirical evidence to inform targeted maternal health interventions, optimize digital health communication, and support evidence-based childbirth decision-making.

Authors

Institutions

Publication Details

Journal
International Journal of Women s Health
Published
2026-04-01
DOI
https://doi.org/10.2147/ijwh.s587854
Primary Topic
Maternal and Perinatal Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Why Low-Risk Primiparous Women Opt for Cesarean Section: A Social Media Perspective

Luping Wu, Jiahong Tu, Suwen Feng, Xiaoli Hu et al.
International Journal of Women s Health
Maternal and Perinatal Health Interventions
article

Why Low-Risk Primiparous Women Opt for Cesarean Section: A Social Media Perspective

Luping Wu, Jiahong Tu, Suwen Feng, Xiaoli Hu, Xiaosa Deng, Liuyan He
article en

Abstract

Purpose: To identify the key factors influencing the decision of low-risk primiparous women to opt for cesarean section (CS), and to provide empirical evidence for optimizing maternal health interventions and reducing unnecessary CS intention. Patients and Methods: A cross-sectional study was conducted among low-risk primiparous women who had no medical indications for CS. A total of 459 valid questionnaires were obtained through stratified sampling. SmartPLS software was used to conduct structural equation modeling (SEM) and multigroup analysis (MGA) to examine the relationship between social media exposure and cesarean section intention, the mediating effects of social norm and self-efficacy, and the model's stability across demographic subgroups. Results: Social media exposure directly and positively predicted cesarean section intention (β = 0.260, p < 0.001). Social media exposure also showed significant indirect associations with cesarean section intention mediated through social norm (β = 0.164, p < 0.001) and self-efficacy (β = 0.074, p < 0.001). Furthermore, multigroup analysis indicated that while the overall mediation framework remained stable, specific influence pathways exhibited significant variations across age and occupational groups. Conclusion: This study clarifies the underlying mechanisms through which social media exposure shapes cesarean section intention. These findings provide empirical evidence to inform targeted maternal health interventions, optimize digital health communication, and support evidence-based childbirth decision-making.

International Journal of Women s HealthVol. Volume 18
Women's Hospital, School of Medicine, Zhejiang University (CN)
Gender equality
Openalex Percentile: Top 22%
Maternal and Perinatal Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.