Effectiveness of E‐Health Interventions on Improving Physical Activity in Pregnant Women: A Systematic Review and Meta‐Analysis

作者：Rongrong Han, Lei Zeng, Jia‐rui Lin, Qian Xu, Jun Ma, Xin Chen, Ding Yu, Li Cheng, Lingling Gao · 发表于：Journal of Clinical Nursing · 年份：2025 · DOI：10.1111/jocn.70112 · 被引用次数：6 · 研究领域：Gestational Diabetes Research and Management、Mobile Health and mHealth Applications、Maternal Mental Health During Pregnancy and Postpartum

AIMS: This study aimed to (1) evaluate the effectiveness of e-health interventions in improving physical activity and associated health outcomes during pregnancy, (2) compare the e-health functions employed across interventions and (3) systematically identify the behaviour change techniques (BCTs) used and examine their interrelationships. DESIGN: A systematic review and meta-analysis following the PRISMA 2020 guidelines. METHODS: Randomised controlled trials were included. Meta-analyses and subgroup analyses were performed using RevMan 5.3. Social network analysis was conducted to determine the most central BCTs within the intervention landscape. DATA SOURCES: Ten databases were searched, including PubMed, Embase, Web of Science, Cochrane Library, ProQuest, Scopus, SinoMed, China National Knowledge Infrastructure, WanFang and the China Science and Technology Journal Database, from inception to April 22, 2024. RESULTS: = 53%) in pregnant women. Subgroup analyses revealed that interventions based on theoretical frameworks and those not specifically targeting overweight or obese women demonstrated greater effectiveness. Additionally, e-health interventions were associated with significant reductions in both total and weekly gestational weight gain. Six of the twelve e-health functions were utilised, with 'client education and behaviour change communication' being the most prevalent. Thirty unique BCTs were identified; among them, 'instruction on how to perform the behaviour', '...