IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v33y2024i6p448-459.html
   My bibliography  Save this article

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

Author

Listed:
  • Rong Liao
  • Yamin Li
  • Hui Yang
  • Yaoyue Luo

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  

Suggested Citation

  • Rong Liao & Yamin Li & Hui Yang & Yaoyue Luo, 2024. "Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis," Clinical Nursing Research, , vol. 33(6), pages 448-459, July.
    • Handle: RePEc:sae:clnure:v:33:y:2024:i:6:p:448-459
    DOI: 10.1177/10547738241252885
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738241252885
    Download Restriction: no
    File URL: https://libkey.io/10.1177/10547738241252885?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:clnure:v:33:y:2024:i:6:p:448-459. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.