兰州大学循证社会科学交叉创新实验室 Innovation Laboratory of Evidence-based Social Sciences,Lanzhou University

Interventions to reduce loneliness among Chinese older adults: A network meta-analysis of randomized controlled trials and quasi-experimental studies.

2023-01-01


     
     This meta-analytic study investigates the effectiveness of different interventions in alleviating loneliness among Chinese older adults aged 50 years and above. We searched eight English databases, four Chinese databases, and grey literature. Thirty-four studies, including four randomized controlled trials (RCTs) and 30 quasi-experimental studies, were eventually included in the meta-analysis (n = 3843). Quality appraisal indicated risks of bias in the included studies. The pooled effect size was large and significant (Hedge's g = 0.84, 95% CI [0.54, 1.15]), indicating the effectiveness of interventions in reducing loneliness. However, the effect size may be overestimated due to publication bias. Moderation analyses showed significant differences in effect sizes by study designs and regions of studies. Network meta-analysis (NMA) indicated that hybrid and psychological interventions appeared to be advantageous over others. In addition, group-based delivery modes can add extra benefits to the interventions. This study adds to the knowledge of the effectiveness of current interventions in reducing Chinese older people's loneliness. However, the findings need to be interpreted with caution due to the relatively low study quality, considerable heterogeneity, and publication bias. Despite the limitations, this study offers valuable insights for future research, practice, and policy-making in reducing older people's loneliness.
   

研究类型
Meta分析
人群
老年人
国家
China
关键词
Chinese; interventions; loneliness; network meta-analysis; older adults.
来源期刊
Appl Psychol Health Well Being
发布日期
2023-01-01
全文链接
https://pubmed.ncbi.nlm.nih.gov/35621111/
相关网址
https://pubmed.ncbi.nlm.nih.gov/35621111/
DOI
10.1111/aphw.12375
主题
卫生服务 弱势人群卫生 心理/精神卫生
作者
Jia Li Xiaochen Zhou Qi Wang