Effects of childhood trauma on the symptom-level relation between depression, anxiety, stress, and problematic smartphone use: A network analysis

萧条(经济学) 焦虑 心理学 临床心理学 精神科 经济 宏观经济学
作者
Qihui Tang,Xinyuan Zou,Jie Gui,Shujian Wang,Xiangping Liu,Gang Liu,Yanqiang Tao
出处
期刊:Journal of Affective Disorders [Elsevier]
卷期号:358: 1-11 被引量:2
标识
DOI:10.1016/j.jad.2024.05.018
摘要

Childhood trauma experience is closely associated with depression, anxiety, stress, and problematic smartphone use (PSU). However, few studies have explored the complex symptom-level relations between these variables among people with and without trauma experiences, leaving a gap in treating and alleviating these mental disorders among individuals with childhood trauma. The current study used a convenience sampling method and recruited 2708 participants who completed Childhood Trauma Questionnaire-Short Form (CTQ-SF), Depression Anxiety and Stress Scales (DASS-21), and Mobile Phone Addiction Tendency Scale (MPATS), dividing them into trauma (n = 1454, Mean age = 19.67) and no-trauma (n = 1254, Mean age = 19.57) groups according to the cut-off scores of CTQ-SF. Symptom network analysis and network comparison test were conducted to construct and compare the network models between trauma and no-trauma groups. The findings indicate that the trauma group and females exhibit greater average levels of DASS-21 and PSU symptoms compared to the no-trauma group and males, respectively. Additionally, the edge between "Stress" and "Anxiety" is the strongest across trauma and no-trauma groups. "Social comfort" is a bridge symptom of the trauma group network and the results of bridge symptoms in the no-trauma group are not stable. This study did not categorize all individuals according to specific types of trauma experiences and it is a cross-sectional design. The prevalences calculated in this study may not be generalizable. Interventions targeting different bridge symptoms in the trauma and no-trauma network models may help reduce the severity of symptoms.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
杨羕完成签到,获得积分10
刚刚
Yara.H完成签到 ,获得积分10
刚刚
壮观的夏蓉完成签到,获得积分10
2秒前
养猪大户完成签到 ,获得积分10
2秒前
24号甜冰茶完成签到,获得积分10
2秒前
田yg完成签到,获得积分10
3秒前
yidashi完成签到,获得积分10
4秒前
CL完成签到 ,获得积分10
7秒前
ironsilica完成签到,获得积分10
7秒前
七七四十九完成签到,获得积分10
9秒前
刘稀完成签到,获得积分10
9秒前
11秒前
txmjsn完成签到,获得积分10
11秒前
宇文傲龙完成签到 ,获得积分10
11秒前
唐唐的猫咪完成签到 ,获得积分10
11秒前
和谐乐完成签到 ,获得积分10
12秒前
更好的我完成签到,获得积分10
13秒前
一路发发发发发完成签到,获得积分10
14秒前
蔺契完成签到,获得积分20
14秒前
zzcherished完成签到,获得积分10
14秒前
慕青应助是容许鸭采纳,获得10
15秒前
传奇3应助aasdadsad采纳,获得10
16秒前
高大冷菱发布了新的文献求助10
17秒前
寒冷小兔子完成签到,获得积分10
18秒前
机智胡萝卜完成签到,获得积分10
18秒前
qianyu完成签到,获得积分10
18秒前
呵呵完成签到,获得积分10
19秒前
YJY完成签到,获得积分10
20秒前
zero完成签到,获得积分10
20秒前
温婉的访风完成签到 ,获得积分10
22秒前
可乐完成签到 ,获得积分10
22秒前
22秒前
keyanli发布了新的文献求助10
23秒前
qn完成签到,获得积分10
23秒前
liuhan完成签到 ,获得积分10
23秒前
23秒前
战战完成签到,获得积分10
24秒前
lewis完成签到 ,获得积分10
24秒前
山丘完成签到,获得积分10
24秒前
lhh0529yt完成签到,获得积分10
24秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
A Dissection Guide & Atlas to the Rabbit 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3134083
求助须知:如何正确求助?哪些是违规求助? 2784918
关于积分的说明 7769341
捐赠科研通 2440444
什么是DOI,文献DOI怎么找? 1297415
科研通“疑难数据库(出版商)”最低求助积分说明 624959
版权声明 600792