{"title":"基于移动医疗的生活方式干预对妊娠糖尿病妇女焦虑和抑郁症状的影响：元分析。","authors":"Rong Liao, Yamin Li, Hui Yang, Yaoyue Luo","doi":"10.1177/10547738241252885","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Purpose/objective: </strong>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.</p><p><strong>Design: </strong>A systematic review and meta-analysis or randomized controlled trials.</p><p><strong>Setting: </strong>Clinical or community-based settings.</p><p><strong>Sample: </strong>Nine studies involving 1,168 pregnant women with GDM were included.</p><p><strong>Intervention: </strong>mHealth-based lifestyle interventions.</p><p><strong>Measures: </strong>Symptoms of anxiety and depression quantitatively analyzed in clinical scales.</p><p><strong>Analysis: </strong>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.</p><p><strong>Results: </strong>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], <i>p</i> < .001; <i>I</i><sup>2</sup> = 67%) and depression (SMD: -0.51, [-0.72, -0.29], <i>p</i> < .001; <i>I</i><sup>2</sup> = 65%). Sensitivity analyses by excluding one study at a time showed consistent results. Subgroup analyses showed similar results in mHealth achieved by phone, websites, and applications, in mHealth targeting diet and exercise with and without psychological support, in mHealth lead by nurse with and without other clinical specialists, and in studies with different evaluating tools for anxiety and depression.</p><p><strong>Conclusions: </strong>mHealth-based lifestyle interventions could significantly improve the symptoms of anxiety and depression in women with GDM.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis.\",\"authors\":\"Rong Liao, Yamin Li, Hui Yang, Yaoyue Luo\",\"doi\":\"10.1177/10547738241252885\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Purpose/objective: </strong>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.</p><p><strong>Design: </strong>A systematic review and meta-analysis or randomized controlled trials.</p><p><strong>Setting: </strong>Clinical or community-based settings.</p><p><strong>Sample: </strong>Nine studies involving 1,168 pregnant women with GDM were included.</p><p><strong>Intervention: </strong>mHealth-based lifestyle interventions.</p><p><strong>Measures: </strong>Symptoms of anxiety and depression quantitatively analyzed in clinical scales.</p><p><strong>Analysis: </strong>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.</p><p><strong>Results: </strong>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], <i>p</i> < .001; <i>I</i><sup>2</sup> = 67%) and depression (SMD: -0.51, [-0.72, -0.29], <i>p</i> < .001; <i>I</i><sup>2</sup> = 65%). Sensitivity analyses by excluding one study at a time showed consistent results. Subgroup analyses showed similar results in mHealth achieved by phone, websites, and applications, in mHealth targeting diet and exercise with and without psychological support, in mHealth lead by nurse with and without other clinical specialists, and in studies with different evaluating tools for anxiety and depression.</p><p><strong>Conclusions: </strong>mHealth-based lifestyle interventions could significantly improve the symptoms of anxiety and depression in women with GDM.</p>\",\"PeriodicalId\":50677,\"journal\":{\"name\":\"Clinical Nursing Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Nursing Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/10547738241252885\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Nursing Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/10547738241252885","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
摘要
背景：焦虑和抑郁的症状在患有妊娠糖尿病（GDM）的妇女中很常见。基于移动医疗（mHealth）的生活方式干预已被证明能有效改善这些妇女的血糖控制：本研究旨在评估基于移动医疗的生活方式干预对 GDM 妇女焦虑和抑郁症状的影响：设计：系统综述和荟萃分析或随机对照试验：环境：临床或社区环境：干预措施：基于移动医疗的生活方式干预措施：测量指标：通过临床量表对焦虑和抑郁症状进行定量分析：在PubMed、Cochrane图书馆、Embase、Web of Science、万方和中国国家知识基础设施等电子数据库中进行了系统的文献检索，以获得相关的随机对照研究。研究采用随机效应模型，通过考虑潜在异质性的影响来汇总研究结果：研究结果显示，与常规护理相比，接受基于移动医疗的生活方式干预的女性在焦虑症状（标准化平均差 [SMD]：-0.55，95% CI [-0.77，-0.33]，p I2 = 67%）和抑郁症状（SMD：-0.51，[-0.72，-0.29]，p I2 = 65%）方面有显著改善。通过每次排除一项研究进行的敏感性分析显示了一致的结果。亚组分析表明，通过电话、网站和应用程序实现的移动保健、针对饮食和运动的移动保健（有或没有心理支持）、由护士领导的移动保健（有或没有其他临床专家）以及使用不同焦虑和抑郁评估工具的研究结果相似。
Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis.
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.
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 < .001; I2 = 67%) and depression (SMD: -0.51, [-0.72, -0.29], p < .001; I2 = 65%). Sensitivity analyses by excluding one study at a time showed consistent results. Subgroup analyses showed similar results in mHealth achieved by phone, websites, and applications, in mHealth targeting diet and exercise with and without psychological support, in mHealth lead by nurse with and without other clinical specialists, and in studies with different evaluating tools for anxiety and depression.
Conclusions: mHealth-based lifestyle interventions could significantly improve the symptoms of anxiety and depression in women with GDM.
期刊介绍：
Clinical Nursing Research (CNR) is a peer-reviewed quarterly journal that addresses issues of clinical research that are meaningful to practicing nurses, providing an international forum to encourage discussion among clinical practitioners, enhance clinical practice by pinpointing potential clinical applications of the latest scholarly research, and disseminate research findings of particular interest to practicing nurses. This journal is a member of the Committee on Publication Ethics (COPE).
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
