部署前军事人员复原力干预方案有效性的Meta分析
Meta-analysis of effectiveness of resilience intervention program for predeployment mili-tary personnel
孙占颖 1宋咪 1陈静茹 1甘雪洋 1高远2
作者信息
- 1. 100853 北京,解放军总医院研究生院
- 2. 100853 北京,解放军总医院第一医学中心护理部
- 折叠
摘要
目的 评价部署前军事人员复原力干预方案的有效性.方法 计算机检索中英文数据库时限为建库至 2023-08-30 发表的部署前军事人员复原力干预研究,拟采用心理弹性量表评分作为评价指标,分析复原力干预方案有效性.经文献筛选、资料提取和质量评价后,运用RevMan5.4 进行Meta分析.结果 共纳入 9 项RCT研究,Meta分析结果显示:复原力干预组军事人员心理弹性量表评分明显高于对照组[SMD=0.57,95％CI(0.46～0.67),P<0.01];并以干预方法为分组标准进行亚组分析.结果显示,采用CBT干预方法的复原力干预组军事人员心理弹性量表评分均明显高于对照组[SMD=0.59,95％CI(0.35～0.83),P<0.01].结论 当前证据显示,部署前复原力干预方案能够有效提升军事人员复原力,有望在部队推广实施.
Abstract
Objective To evaluate the effectiveness of predeployment military personnel resilience intervention program.Methods A computer search was conducted for the study of the resilience intervention for predeployment military personnel in Chinese and English electronic databases published until August 2023 to to evaluate the effectiveness of the resilience intervention program using the psychological resilience scale score as an evaluation indicator.After literature screening,data extraction and quality evaluation,meta-analysis was performed using RevMan5.4.Results A total of 9 RCT studies were included,and the meta-analysis results showed that the psychological resilience scale scores of military personnel in the resilience intervention group were significantly higher than those in the control group[SMD=0.57,95％CI(0.46-0.67),P<0 01].Subgroup analysis was conducted using the intervention method as the grouping standard.The results showed that the resilience intervention group using CBT intervention method had signifi-cantly higher scores on the psychological resilience scale of military personnel than the control group[SMD=0.59,95％CI(0.35-0.83),P<0.01].Conclusions The predeployment resilience intervention program can effectively improve the resilience of military personnel,and it is expected to be popularized in the army.
关键词
复原力/军事人员/干预/Meta分析Key words
resilience/military personnel/intervention/meta-analysis引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据