ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2026, Vol. 34 ›› Issue (1): 83-96.doi: 10.3724/SP.J.1042.2026.0083 cstr: 32111.14.2026.0083

• 元分析 • 上一篇    下一篇

悲伤与亲社会行为关系的三水平元分析

范伟1,2(), 程颖1   

  1. 1湖南师范大学教育科学学院认知与人类行为湖南省重点实验室
    2湖南师范大学交叉科学研究院, 长沙 410081
  • 收稿日期:2024-12-22 出版日期:2026-01-15 发布日期:2025-11-10
  • 通讯作者: 范伟, E-mail: fanwei@hunnu.edu.cn
  • 基金资助:
    国家自然科学基金(32371126)

The relationship between sadness and prosocial behavior: A three-level meta-analysis

FAN Wei1,2(), CHENG Ying1   

  1. 1Hunan Provincial Key Laboratory of Cognition and Human Behavior, School of Education Science, Hunan Normal University
    2Institute of Interdisciplinary Studies, Hunan Normal University, Changsha 410081, China
  • Received:2024-12-22 Online:2026-01-15 Published:2025-11-10

摘要: 作为人类最基本的情感体验之一, 悲伤对亲社会行为的影响机制在学界长期存在争议。传统观点多强调其消极作用, 但实证研究结果却存在明显分歧。为厘清这一争议并揭示研究结果不一致的原因, 本研究采用随机效应模型, 对近50年来41项研究(70个效应量, 总样本量为10173人)进行三水平元分析。结果发现, 悲伤与亲社会行为之间存在微弱但显著的正相关(r = 0.13, 95% CI [0.08, 0.18]), 年龄阶段显著调节该效应, 而性别、诱发方式等因素无显著影响; p曲线(p-curve)分析证实了该效应的真实性, 排除了出版偏倚或p hacking的可能。研究突破了传统对悲伤的负面认知, 揭示悲伤情绪蕴含的亲社会转化潜能, 为情绪干预提供了新视角。

关键词: 悲伤, 亲社会行为, 三水平元分析, 调节效应

Abstract:

This meta-analysis resolves a longstanding debate about sadness's impact on prosocial behavior through an innovative three-level modeling approach, systematically integrating 41 studies (70 effect sizes, N = 10,173) spanning nearly 50 years. Challenging conventional views that predominantly emphasize sadness's negative effects, we found a weak but significant positive correlation between sadness and prosocial behavior. This finding provides robust empirical support for the perspective that sadness can indeed promote prosocial actions, moving beyond the traditional notion that it necessarily inhibits such behaviors. Our methodological innovations are crucial for the robustness of these findings: (1) We employed a three-level meta-analysis framework, which effectively addresses the limitations of traditional meta-analyses' effect size independence assumption by decomposing variance into sampling error, within-study, and between-study components. This allows for a more precise parsing of different-level variables' contributions and a systematic examination of individual and contextual moderating factors. (2) Comprehensive bias controls, including p-curve analysis (confirming the effect's authenticity and ruling out publication bias or p-hacking), funnel plots, and Egger's regression, were rigorously applied to ensure the reliability of our results. (3) Rigorous sensitivity analyses, using a leave-one-out method, further demonstrated the stability and robustness of our findings, indicating that the overall effect was not driven by any single study or outlier.
Moderation effect analysis revealed that age stage is a crucial moderator of the relationship between sadness and prosocial behavior, with correlations peaking during young adulthood and exhibiting a nonlinear trend. This suggests that sadness's prosocial effects dynamically change with individual development, closely associated with emotional cognitive maturation and moral development. In contrast, factors such as gender, sadness induction methods, sadness assessment approaches, prosocial behavior classification, and sadness types showed no significant moderating effects. This indicates a high cross-contextual consistency in sadness's impact on prosocial behavior, suggesting that the underlying mechanisms are broadly applicable across various contexts and forms of sadness.
Theoretically, by integrating emotion regulation theory, the negative state relief model, and the appraisal tendency framework, this study elucidates two primary pathways through which sadness promotes prosocial behavior: self-focused helping motivation driven by emotional repair and compensatory social connection needs triggered by a low sense of control. These mechanisms work together, enabling sadness to stimulate prosocial behavior. The research results offer a new perspective on the prosocial transformative potential inherent in sadness, suggesting that sadness, often perceived negatively, can serve an adaptive function in fostering social connection and altruism. These advances provide robust evidence that sadness can motivate prosocial actions, suggesting new intervention approaches that harness this adaptive potential. For instance, emotional interventions could focus on creating favorable conditions to guide sadness experiences toward promoting social connection, rather than solely aiming to alleviate the emotion.
Despite these significant contributions, the study has limitations. There was a low proportion of longitudinal research and trait sadness studies, which limits the understanding of long-term effects and the distinction between state and trait sadness. Additionally, the cross-cultural sample was imbalanced, with a predominance of Western samples, which may limit the generalizability of the findings. Future research should examine underlying mechanisms more deeply, explore sadness subtypes with more balanced samples, and investigate cross-cultural and developmental variations across the entire life cycle to further clarify this complex relationship. This work redefines sadness as a nuanced social emotion with important implications for psychological theory and practice, providing a more comprehensive understanding of its role in human social behavior.

Key words: sadness, prosocial behavior, three-level meta-analysis, moderating effect

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