亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Effect of engagement in personal growth initiative skills on depression, anxiety, and stress: Multilevel mediation analysis with intensive longitudinal data

焦虑 心理学 调解 萧条(经济学) 联想(心理学) 临床心理学 心理健康 多级模型 抑郁症状 精神疾病 精神科 机器学习 政治学 计算机科学 法学 经济 宏观经济学 心理治疗师
作者
Yuki Shigemoto,April White,Rabeea Baloch
出处
期刊:Journal of Clinical Psychology [Wiley]
标识
DOI:10.1002/jclp.23749
摘要

Abstract Objectives The current study examined the association between the possession of personal growth initiative (PGI) skills and symptoms of mental illness (i.e., depression, anxiety, and stress) and the potential mediating role of daily engagement of PGI skills during the COVID‐19 pandemic. Methods The participants consisted of 73 individuals ( M age = 41.62, SD age = 12.44) who were recruited from Amazon's Mechanical Turk (MTurk). Data for possessed PGI was collected in April 2020, and the daily survey started approximately 1 month later at the beginning of May 2020 for 29 days. Results Controlling for demographic variables, multilevel mediation models revealed significant association between PGI skills and PGI engagement. However, our hypothesized indirect effects were not found. When inspecting the direct effects controlling for the effect of PGI engagement and demographic variables, the paths between PGI skills and both depression and anxiety were negatively associated. When examining the effect of time, there were no significant changes during the period of 29 days in the levels of PGI skills among individuals. However, a significant fluctuation within individuals in how much participants have utilized PGI skills during the study period was found. Conclusion The current study highlights the influence of PGI skills at both the between‐individual as well as within‐individual levels in predicting symptoms of mental illness, and it also uncovers the role of PGI skills by separating into general PGI skills and individual's daily engagement in utilizing the PGI skills in predicting symptoms of mental illness.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
5秒前
asheng发布了新的文献求助10
9秒前
soar发布了新的文献求助10
11秒前
米奇完成签到 ,获得积分10
12秒前
笨笨无色完成签到 ,获得积分10
15秒前
asheng完成签到,获得积分10
16秒前
16秒前
兼听则明发布了新的文献求助30
19秒前
22秒前
好主意发布了新的文献求助10
25秒前
26秒前
Nowind完成签到,获得积分10
26秒前
Nowind发布了新的文献求助10
30秒前
Anoxra完成签到 ,获得积分10
31秒前
hanshishengye完成签到 ,获得积分10
33秒前
37秒前
lijunliang完成签到 ,获得积分10
40秒前
小状元完成签到 ,获得积分10
40秒前
虞美人发布了新的文献求助10
42秒前
44秒前
缓慢的三颜完成签到,获得积分10
44秒前
柯语雪完成签到 ,获得积分10
46秒前
48秒前
高贵的冰旋完成签到 ,获得积分20
51秒前
执着白筠完成签到 ,获得积分10
51秒前
BF完成签到,获得积分10
54秒前
小菀儿完成签到 ,获得积分10
55秒前
科研通AI2S应助Zidawhy采纳,获得10
57秒前
59秒前
1分钟前
舒适的方盒完成签到 ,获得积分10
1分钟前
js完成签到,获得积分10
1分钟前
BF发布了新的文献求助20
1分钟前
js关闭了js文献求助
1分钟前
sciN发布了新的文献求助10
1分钟前
一个小瓜瓜应助dllneu采纳,获得10
1分钟前
linglingling完成签到 ,获得积分10
1分钟前
1分钟前
兼听则明完成签到,获得积分10
1分钟前
高分求助中
Encyclopedia of Quaternary Science Third edition 2025 12000
(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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Holistic Discourse Analysis 600
Constitutional and Administrative Law 600
Vertebrate Palaeontology, 5th Edition 530
Fiction e non fiction: storia, teorie e forme 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5345669
求助须知:如何正确求助?哪些是违规求助? 4480524
关于积分的说明 13946471
捐赠科研通 4378087
什么是DOI,文献DOI怎么找? 2405605
邀请新用户注册赠送积分活动 1398159
关于科研通互助平台的介绍 1370640