Social decision-making in major depressive disorder: A three-level meta-analysis

重性抑郁障碍 适度 心理信息 荟萃分析 心理学 惩罚(心理学) 临床心理学 心理干预 精神科 医学 梅德林 发展心理学 内科学 社会心理学 心情 政治学 法学
作者
Tao Wang,Jianmin Zeng,Peiru Peng,Qiao Yin
出处
期刊:Journal of Psychiatric Research [Elsevier]
卷期号:176: 293-303 被引量:3
标识
DOI:10.1016/j.jpsychires.2024.06.026
摘要

Major Depressive Disorder (MDD) is frequently associated with social dysfunction and impaired decision-making, but its impact on social decisions remains unclear. Thus, we conducted a series of meta-analyses to examine the effects of MDD on key social decision phenomena, including trust, altruistic punishment, and cooperation. We searched Web of Science, PubMed, PsycINFO, and Embase up to December 2023, using Hedges' g to compare social decision-making between MDD patients and healthy controls (HCs). Meta-analytic results showed that MDD patients exhibited a significant reduction in trust (Hedges' g = -0.347, p < 0.001), no significant difference in altruistic punishment (Hedges' g = 0.232, p = 0.149), and an increase in cooperative behaviors (Hedges' g = 0.361, p = 0.002) compared to HCs. The moderation analysis revealed that age (p = 0.039) and region (p = 0.007) significantly moderated altruistic punishment, with older MDD patients and those from Asian and European regions having larger MDD-HC contrast than others. Regarding cooperation, moderation analysis indicated that age (p = 0.028), years of education (p = 0.054), and treatment coverage (p = 0.042) were significant moderators, indicating larger MDD-HC contrast in older, less-educated and better-treated people. These findings suggest MDD has different impacts on different social decisions, highlighting the need for fine-tuned therapeutic interventions that address these differences. The data also underscores the importance of considering demographic and treatment-related variables in managing MDD, which could inform personalized treatment strategies and improve social functionality and patient outcomes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Sewerant完成签到 ,获得积分10
刚刚
nalanfu完成签到,获得积分10
1秒前
考博圣体发布了新的文献求助10
1秒前
wanghao4799完成签到,获得积分10
1秒前
sxa发布了新的文献求助10
1秒前
平淡宛完成签到 ,获得积分10
2秒前
2秒前
田様应助等待的微笑采纳,获得10
2秒前
TEY完成签到 ,获得积分10
2秒前
善学以致用应助wangkuo采纳,获得10
2秒前
zwq完成签到,获得积分20
3秒前
3秒前
3秒前
3秒前
3秒前
112发布了新的文献求助10
3秒前
luoyang完成签到,获得积分10
3秒前
勤劳的小蚂蚁完成签到,获得积分10
3秒前
4秒前
mei发布了新的文献求助10
4秒前
CipherSage应助震动的雪碧采纳,获得10
4秒前
不慌不慌完成签到,获得积分10
4秒前
mm完成签到,获得积分10
4秒前
5秒前
wanci应助笑点低采纳,获得30
5秒前
传奇3应助奋斗的灭龙采纳,获得10
6秒前
云游归尘完成签到 ,获得积分10
6秒前
Cestbon完成签到,获得积分10
6秒前
懂懂懂完成签到,获得积分10
6秒前
屠夫9441发布了新的文献求助10
6秒前
6秒前
6秒前
Lw应助wanghao4799采纳,获得10
7秒前
7秒前
7秒前
Tiam完成签到,获得积分10
8秒前
8秒前
8秒前
Owen应助lamer采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6059881
求助须知:如何正确求助?哪些是违规求助? 7892509
关于积分的说明 16301605
捐赠科研通 5204235
什么是DOI,文献DOI怎么找? 2784165
邀请新用户注册赠送积分活动 1766904
关于科研通互助平台的介绍 1647256