安全行为操纵的独立效应:系统综述与元分析

The standalone effect of safety behavior manipulations: A systematic review and meta-analysis

作者信息Jason T Goodson, Tapan A Patel, James M Zech, Matthew C Sala, Jesse R Cougle
PMID41558151
发布时间2026-03
DOI10.1016/j.cpr.2026.102703

实验完整度

高

系统综述与元分析,包含26项研究(19项RCT、7项单组试验),质量评估(Cochrane RoB2、ROBINS-I),元分析及调节效应检验。

重点核对

SB操纵类型(减少/增加) 研究类型(治疗性/非治疗性实验) 对照条件 操纵持续时间 效应量计算方式

摘要

Safety behaviors are maladaptive behavioral and mental strategies individuals may employ to prevent or avoid a negative symptom. While reducing safety behaviors have been a core component of cognitive-behavioral treatments, recent research has begun examining the efficacy of standalone safety behavior manipulations. Some have examined the effect of increasing the behaviors in a non-treatment experimental context while others have examined the effect of reducing these behaviors in both non-treatment and treatment contexts. In this systematic review and meta-analysis we examined the efficacy of these manipulations. A total of 26 studies were included in our review and 19 were eligible for our meta-analyses. We examined the effect of safety behavior manipulations on both safety behavior frequency and the primary symptoms within the studies. We found that relative to control, safety behavior reduction led to significantly greater reductions in safety behaviors (d = 0.52, 95% CI [0.36, 0.68]) and symptoms (d = 0.43, 95% CI [0.27, 0.59]). We also found that relative to control, safety behavior increase conditions led to significantly greater safety behaviors (d = 2.96, 95% CI [2.14, 3.78]) and clinical symptoms (d = 0.65, 95% CI [0.46, 0.83]). Some moderators emerged, and evidence of publication bias was found. Altogether, the present study provides support for the potential role safety behaviors may play in a range of disorders. Further, standalone manipulations targeting safety behaviors may be an efficacious method of reducing symptoms of psychopathology, but further research will be necessary to better understand the efficacy of this approach.

实验结论

提炼研究问题、关键发现与证据,快速把握文章的核心贡献。

研究问题
独立的安全行为操纵(减少或增加)对安全行为及其相关临床症状的效应如何?
核心机制
安全行为是焦虑相关精神病理的维持因素,减少安全行为可降低临床症状,增加安全行为则加重症状。
主要证据
基于26项研究的系统综述和元分析,减少安全行为在组间对安全行为效应量d=0.52,对症状d=0.43;增加安全行为对安全行为d=2.96,对症状d=0.65。
研究意义
研究支持直接针对安全行为的干预作为减少焦虑相关症状的有效方法,并为未来数字干预和实验研究提供方向。

研究路径

按研究推进顺序梳理实验设计、验证步骤与关键观察。

1

文献检索与筛选

识别所有直接操纵安全行为并测量前后临床效果的实验或治疗研究。

在APA PsycINFO、Academic Search Complete、PubMed中检索至2025年6月,更新至9月,共428篇去重后筛选,26项研究纳入。

2

数据提取与质量评估

提取研究特征并评估偏倚风险。

两名作者独立提取数据,使用Cochrane RoB2和ROBINS-I评估偏倚风险。

3

元分析

计算减少和增加安全行为对安全行为及临床症状的合并效应量。

使用R 4.4.2中的meta和dmetar包计算Cohen's d,进行固定或随机效应模型,评估异质性,进行调节分析和出版偏倚检验。

研究方法

按研究目的归类文中使用的方法,便于定位所需技术。

产品清单

实验环节名称品牌货号
Zotero----
Covidence----
R----
meta包----
dmetar包----

关键环节

汇总复现实验时建议重点确认的条件及原文阅读提示。

环节核对要点
文献检索
检索数据库、检索字符串、检索日期
阅读提示:Methods - Search Strategy
纳入标准
纳入标准(同行评审、英文、成人、定量、直接操纵安全行为、报告效应量)
阅读提示:Methods - Eligibility Criteria
数据提取
提取的数据项,包括样本量、研究类型、操纵类型、对照条件、持续时间、效应量等
阅读提示:Methods - Data Extraction
元分析
效应量指标(Cohen's d)、模型类型(固定/随机)、异质性指标、调节变量
阅读提示:Methods - Meta Analysis Data Analytic Plan