The longitudinal mediating effect of rumination on the relationship between depressive symptoms and problematic smartphone use in Chinese university students: A three-wave cross-lagged panel analysis

沉思 心理学 纵向研究 临床心理学 萧条(经济学) 路径分析(统计学) 抑郁症状 发展心理学 认知 医学 精神科 统计 数学 病理 经济 宏观经济学
作者
Guangxiao Li,Li Liu,Mengqi Wang,Ying Li,Hui Wu
出处
期刊:Addictive Behaviors [Elsevier]
卷期号:150: 107907-107907 被引量:4
标识
DOI:10.1016/j.addbeh.2023.107907
摘要

Although previous studies have considered rumination a possible mediator of the relationship between mental health and problematic smartphone use (PSU), few prospective studies have been conducted, limiting the ability to draw causal inferences. Therefore, the current study aimed to examine the mediating role of rumination on the depression-PSU relationship using three-wave cross-lagged panel models (CLPMs) with longitudinal data. A sample of 321 medical students from China Medical University completed three waves of online measures of depressive symptoms, rumination, and PSU. The three-wave CLPMs were constructed to examine the mediating role of rumination. Our results demonstrated that depressive symptoms were bidirectionally related to rumination, and that rumination was bidirectionally related to PSU. The reciprocal CLPM suggested that depressive symptoms at Time 1 positively affected PSU at Time 3 via rumination at Time 2. The indirect effect was significant, with a path coefficient of 0.023 (95% CI: 0.004 to 0.042). Conversely, PSU at Time 1 positively affected depressive symptoms at Time 3 via rumination at Time 2, with a path coefficient of 0.015 (95% CI: 0.001 to 0.029). This prospective study provided empirical evidence of the influence of depression on PSU and vice versa among Chinese university students. It also highlighted the importance of rumination in the depression-PSU relationship, revealing a bidirectional mediating role of rumination. Additional large-scale multi-wave longitudinal studies are needed to verify our results.
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
刚刚
1秒前
无辜之卉发布了新的文献求助10
1秒前
yty发布了新的文献求助10
1秒前
烟花应助卡夫卡没在海边采纳,获得10
2秒前
456发布了新的文献求助10
3秒前
传奇3应助温暖以蓝采纳,获得10
3秒前
辛勤的仰完成签到,获得积分10
3秒前
如意新晴完成签到,获得积分10
3秒前
3秒前
zrk完成签到,获得积分20
4秒前
4秒前
szmsnail发布了新的文献求助20
4秒前
Ava应助Monik采纳,获得10
4秒前
打打应助zhui采纳,获得10
5秒前
5秒前
中华有为发布了新的文献求助10
6秒前
yana完成签到,获得积分10
6秒前
科目三应助卡卡采纳,获得10
6秒前
7秒前
XHZGG完成签到 ,获得积分10
8秒前
aiming完成签到,获得积分10
9秒前
shengChen发布了新的文献求助10
9秒前
热心的皮完成签到 ,获得积分10
9秒前
hhhhhhan616完成签到,获得积分10
9秒前
尉迟明风完成签到 ,获得积分10
9秒前
珲雯完成签到,获得积分10
9秒前
xinxin发布了新的文献求助10
10秒前
朱孝培完成签到,获得积分10
10秒前
247793325发布了新的文献求助20
10秒前
加油呀完成签到,获得积分10
10秒前
聪明可爱小绘理完成签到,获得积分10
10秒前
36456657应助啱啱采纳,获得10
10秒前
桐桐应助韦威风采纳,获得10
11秒前
11秒前
11秒前
zc98完成签到,获得积分10
12秒前
ygr应助Hao采纳,获得10
12秒前
NEMO发布了新的文献求助10
13秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794