Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis

Rong Liao, Yamin Li, Hui Yang and Yaoyue Luo

Clinical Nursing Research, 2024, vol. 33, issue 6, 448-459

Abstract: Background: Symptoms of anxiety and depression are common in women with gestational diabetes mellitus (GDM). Mobile health (mHealth)-based lifestyle interventions have been shown to be effective in improving glycemic control of these women. Purpose/Objective: The aim of the study was to evaluate the influence of mHealth-based lifestyle interventions on symptoms of anxiety and depression in women with GDM. Design: A systematic review and meta-analysis or randomized controlled trials. Setting: Clinical or community-based settings. Sample: Nine studies involving 1,168 pregnant women with GDM were included. Intervention: mHealth-based lifestyle interventions. Measures: Symptoms of anxiety and depression quantitatively analyzed in clinical scales. Analysis: A systematic literature search was performed in electronic databases, including PubMed, Cochrane library, Embase, Web of Science, Wanfang, and China National Knowledge Infrastructure to obtain relevant randomized controlled studies. A random-effects model was used to pool the results by incorporating the impact of the potential heterogeneity. Results: Findings revealed that when compared to usual care, women who received mHealth-based lifestyle interventions had significant improvements in symptoms of anxiety (standardized mean difference [SMD]: −0.55, 95% CI [−0.77, −0.33], p  

Keywords: gestational diabetes mellitus; mHealth; lifestyle intervention; anxiety; depression; meta-analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:sae:clnure:v:33:y:2024:i:6:p:448-459

DOI: 10.1177/10547738241252885

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