Stress begets stress: The moderating role of childhood adversity in the relationship between job stress and sleep quality among nurses

心理学 压力源 工作量 职业紧张 多级模型 质量(理念) 压力(语言学) 临床心理学 计算机科学 语言学 认识论 操作系统 机器学习 哲学
作者
Yu Cheng,Xuan Zhang,Ying Wang,Fangxiang Mao,Fenglin Cao
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:348: 345-352 被引量:1
标识
DOI:10.1016/j.jad.2023.12.090
摘要

Nurses exhibit considerable variations in sleep quality and experience high job stress levels. Distal factors, such as childhood adversity, and proximal factors, both influence sleep quality. We investigated the moderating role of childhood adversity with job stress and sleep quality, and whether this aligns with the stress-sensitization or stress-amplification models. The impact of job stressors' total score on sleep quality was analyzed using traditional linear regression models and the extreme gradient boosting machine learning algorithm. Hierarchical regression models examined the moderating role of childhood adversity in the relationship between job stress and sleep quality. An interactive tool was used to visualize the results. Among the dimensions of job stress, “time allocation and workload” strongly correlated with sleep quality, followed by “nursing profession and work problems,” “patient care issues,” “management and interpersonal problems,” and “working environment and equipment problems.” The moderating role of childhood adversity in the relationship between different dimensions of job stressors (except working environment and equipment problems) and sleep quality aligns with the stress-sensitization model. This study was susceptible to recall bias and objective sleep data were unavailable. Cross-sectional study design was used, thus limiting causal inferences. Finally, the moderating effect of childhood adversity on subsequent stress among nurses remains unclear. Childhood adversity and job stress were integrated into a stress-sensitization model, providing a nuanced and specific examination of sleep quality. Healthcare policymakers should focus on job stress and childhood adversity, improve nurses' sleep quality, and ultimately benefit patient care and outcomes.

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
钱水卉发布了新的文献求助10
1秒前
左手一只鸭右手一只鸡完成签到,获得积分10
1秒前
liyang发布了新的文献求助10
1秒前
如意小丸子完成签到,获得积分10
1秒前
2秒前
小小应助Mr权采纳,获得30
2秒前
我是大眼猫完成签到,获得积分10
2秒前
wanghe完成签到,获得积分10
2秒前
ghzhou发布了新的文献求助10
2秒前
2秒前
罗马完成签到,获得积分10
2秒前
小哥发布了新的文献求助10
3秒前
小点点完成签到,获得积分10
3秒前
无花果应助Di采纳,获得10
4秒前
4秒前
6秒前
6秒前
7秒前
抱小熊睡觉完成签到,获得积分10
7秒前
飘逸小天鹅完成签到 ,获得积分10
8秒前
汉堡包应助Drcai采纳,获得10
8秒前
8秒前
yy发布了新的文献求助10
9秒前
有趣的饼干完成签到 ,获得积分10
9秒前
复杂汝燕发布了新的文献求助30
10秒前
研友_Zb1rln完成签到,获得积分10
10秒前
10秒前
Maru完成签到,获得积分10
10秒前
chaoshen发布了新的文献求助10
10秒前
不见木棉完成签到,获得积分10
12秒前
zfd完成签到,获得积分10
12秒前
12秒前
13秒前
14秒前
14秒前
王军月发布了新的文献求助10
14秒前
14秒前
15秒前
研友_xnE4XL完成签到,获得积分10
15秒前
15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
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
The Sage Handbook of Digital Labour 600
汪玉姣:《金钱与血脉:泰国侨批商业帝国的百年激荡(1850年代-1990年代)》(2025) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6415472
求助须知:如何正确求助?哪些是违规求助? 8234620
关于积分的说明 17487118
捐赠科研通 5468450
什么是DOI,文献DOI怎么找? 2889095
邀请新用户注册赠送积分活动 1866003
关于科研通互助平台的介绍 1703611