A couple-based physical activity intervention for the prevention of gestational diabetes mellitus: study protocol for a randomized controlled trial
Abstract
BACKGROUND: Early prevention of Gestational diabetes mellitus (GDM) is critical not only for protecting maternal and infant health but also for reducing the long-term healthcare burden associated with chronic diseases. Physical activity is a well-established modifiable behavior for GDM prevention; however, existing physical activity interventions during pregnancy have shown limited effectiveness. Partner involvement in behaviour change represents a promising approach theoretically, but empirical evidence remains scarce. This study protocol describes a randomized controlled trial designed to evaluate the effectiveness of a couple-based physical activity intervention for the prevention of GDM. METHODS: This single-blind, two-arm, parallel-group randomized controlled trial will be conducted at an obstetrics and gynecology hospital in Guangzhou, China. A total of 244 pregnant individuals at high risk for GDM and their partners will be randomly assigned to either an intervention group receiving a couple-based physical activity intervention or a control group receiving usual antenatal care. The intervention starts at 5–12+ 6 weeks of gestation and continues until 24 weeks. It consists of one face-to-face group dyadic education session, one online group dyadic education session, biweekly online personalized dyadic counseling sessions, and a daily behavior change booster delivered via WeChat. Intervention delivery is supported by a dedicated WeChat Official Account, Pregnancy…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 244 participants or records.
Read the paper
Related studies
- Increased expression of circulating miRNA-93 in women with polycystic ovary syndrome may represent a novel, non-invasive biomarker for diagnosis
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
- Regulation of Androgen Receptor Expression Alters AMPK Phosphorylation in the Endometrium: In Vivo and In Vitro Studies in Women with Polycystic Ovary Syndrome
- Effect of oral administration of low-dose follicle stimulating hormone on hyperandrogenized mice as a model of polycystic ovary syndrome
- Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.