ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

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应激与心理健康曲线关系的三水平元分析(压力、韧性与健康专刊投稿)

陈一笛, 马金金, 甘怡群   

  1. 北京林业大学人文社会科学学院心理学系, 北京 100083 中国
    北京大学心理认知科学学院; 北京市行为与心理健康重点实验室; 生物与机器智能教育部重点实验室, 北京 100089 中国
  • 收稿日期:2025-08-29 修回日期:2026-04-01 接受日期:2026-04-14
  • 基金资助:
    国家自然科学基金面上项目(32171076); 国家自然科学基金面上项目(32471135); 中央高校基本科研业务费专项资金(2025SKQ02)

The Curvilinear Relationship Between Stress and Mental Health: A Three-Level Meta-Analysis (Submission to the Special Issue on Stress, Resilience, and Health)

CHEN Yidi, MA Jinjin, GAN Yiqun   

  1. School of Humanities and Social Sciences, Department of Psychology, Beijing Forestry University 100083, China
    School of Psychological Cognitive Sciences, and Beijing Key Laboratory of Behavior and Mental Health; Key Laboratory of Machine Perception (Ministry of Education), Peking University 100089, China
  • Received:2025-08-29 Revised:2026-04-01 Accepted:2026-04-14

摘要: 应激无处不在,影响着每一个人。剂量-反应理论认为应激会损坏心理健康的线性关系,应激接种理论认为应激和心理健康是倒U型曲线关系。面对线性假说和曲线假说尚未达成一致的局面,本研究采用三水平曲线元分析(PROSPERO平台预注册)系统回顾了涉及应激二次项与心理健康效应值的研究,对涉及31422名参与者的23个研究中的59个一次项效应值和59个二次项效应值进行综合分析,对线性假设与曲线假设开展了竞争性的验证。结果表明应激一次项与心理健康之间存在中等程度的相关系数 (r = -0.173),应激二次项与心理健康之间存在较小的偏相关系数 (sr = -0.053),考虑到统计的限定性,为曲线假说提供了初步证据。此外,元回归发现人群特征和心理健康类型可以显著调节应激与心理健康之间的线性关系。在健康人群中,应激一次项负向预测心理健康,在创伤群体中,该效应值不显著。而当心理健康结果为负向时,应激一次项稳定的负向预测心理健康,当心理健康结果为正向时,该效应值不显著;人口学变量和应激特征的调节作用不显著。应激二次项和心理健康存在微小负相关,元回归提示调节效应均不显著。研究证明应激一次项与心理健康的关系仍然占据主导地位,应激与心理健康之间存在小效应的二次曲线关系,且存在较大的异质性,提示未来应该关注应激和心理健康的非线性模式及其作用条件,应该关注适度压力下个体潜能发挥和成长的可能性。同时,应激和心理健康的线性关系受到人群特征的影响,提示我们在未来的研究中,应更加关注研究对象与结果变量选择的重要性,需要结合特定人群特征和心理健康指标,才能更准确地理解应激对心理健康的作用机制与边界条件。

关键词: 应激, 心理健康, 曲线关系, 三水平元分析

Abstract: Stress is a pervasive experience that affects individuals across all aspects of daily life. A Lancet survey reported that more than 500 million individuals worldwide suffer from stress-related mental health problems each year. Against this backdrop, public concern for mental health has grown substantially. Subsequently, identifying strategies to enhance mental health and resilience under stress has become an urgent priority. The dose–response theory posits a linear relationship in which stress negatively impacts mental health—a perspective widely held by both the public and academia. However, over the past 15 years, evidence from positive psychology suggests that moderate stress may foster resilience and adaptive psychological outcomes. According to the stress inoculation theory, stress and mental health follow an inverted U-shaped trajectory. Thus, there is a lack of consensus between the linear and curvilinear models. A systematic search of empirical studies reporting quadratic effects of stress on mental health was conducted across multiple databases: Web of Science, ProQuest, EBSCO, and PubMed, as well as the Chinese databases CNKI and WanFang Data. Analyses were performed in R using the “metafor” packages. A three-level meta-analysis was used to synthesize linear (r) and semi-partial (sr) effect sizes and to test moderators. Publication bias was assessed using funnel plots, Egger-MLMA regression tests, and the trim-and-fill method. A total of 23 studies (59 linear and 59 quadratic effect sizes) with 31,422 participants were synthesized to directly compare the two hypotheses. The results indicated a moderate negative correlation between linear stress terms and mental health, and a small and negative partial correlation between quadratic stress terms and mental health. Research evidence indicates that the linear association between stress and mental health remains the dominant pattern. Considering statistical constraints, these findings also supported the curvilinear hypothesis, suggesting a potential curvilinear relationship between stress and mental health. Meta-regression analyses further revealed that the method of stress measurement significantly moderated the curvilinear association, while population characteristics and types of mental health outcomes moderated the linear relationship. Among healthy populations, stress was negatively associated with mental health; in trauma-exposed populations, the linear effect was non-significant. When the outcome was negative mental health, stress consistently predicted worse outcomes, whereas for positive mental health outcomes, the linear effect was not significant. By contrast, no statistically significant moderation was detected in the association between the quadratic component of stress and mental health. However, substantial heterogeneity is observed, indicating that future research should pay greater attention to the nonlinear patterns linking stress and mental health as well as the conditions under which such patterns emerge. In particular, more attention should be given to the potential for individuals to realize their capacities and experience growth under moderate levels of stress. These findings demonstrate a small and negative curvilinear relationship between stress and mental health, indicating that moderate levels of stress may promote better psychological outcomes. The variability of the linear relationship across populations underscores the importance of considering sample characteristics and outcome measures in future research. A more precise understanding of these mechanisms and boundary conditions is critical to clarifying the complex role of stress on mental health.

Key words: stress, mental health, curvilinear relationship, three-level meta-analysis