Multidimensional correlates of psychological stress: Insights from traditional statistical approaches and machine learning using a nationally representative Canadian sample.

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-05-13 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0323197
Benjamin A Hives, Mark R Beauchamp, Yan Liu, Jordan Weiss, Eli Puterman
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Abstract

Approximately one-fifth of Canadians report high levels of psychological stress. This is alarming, as chronic stress is associated with non-communicable diseases and premature mortality. In order to create effective interventions and public policy for stress reduction, factors associated with stress must be identified and understood. We analyzed data from the 2012 'Canadian Community Health Survey - Mental Health' (CCHS-MH), including 66 potential correlates, drawn from a range of domains (e.g., psychological, physical, social, demographic factors). First, we used a random forest algorithm to determine the most important predictors of psychological stress, then we used linear regressions to quantify the linear associations between the important predictors and psychological stress. In total, 23,089 Canadian adults responded to the 2012 CCHS-MH, which was weighted to be nationally representative. Random forest analyses found that, after accounting for variance from other factors and considering complex interactions, life satisfaction (relative importance = 1.00), negative social interactions (0.99), primary stress source (0.85), and age (0.77) were the most important correlates of psychological stress. To a lesser extent, employment status (0.36), was also an important variable. Univariable linear regression suggested that these variables had effects ranging from small to medium-to-large. Multiple linear regression showed that lower life satisfaction, being younger, greater negative social interaction, reporting a primary stressor, and being employed were all found to be associated with greater psychological stress (beta range = 0.03 to 0.84, all p < 0.001, R2 = 0.264). Further, these factors accounted for 26% of the variance of psychological stress. This study highlights that the most important correlates of stress reflect diverse psychological, social, and demographic factors. These findings highlight that stress reduction interventions may require a multidisciplinary approach. However, further longitudinal and experimental studies are required.

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心理压力的多维相关性:来自传统统计方法和机器学习的见解,使用具有全国代表性的加拿大样本。
大约五分之一的加拿大人报告心理压力很大。这令人震惊,因为慢性压力与非传染性疾病和过早死亡有关。为了制定有效的干预措施和减少压力的公共政策,必须确定和了解与压力有关的因素。我们分析了2012年“加拿大社区健康调查——心理健康”(CCHS-MH)的数据,包括66个潜在的相关因素,来自一系列领域(如心理、生理、社会、人口因素)。首先,我们使用随机森林算法来确定最重要的心理压力预测因子,然后我们使用线性回归来量化重要预测因子与心理压力之间的线性关联。总共有23,089名加拿大成年人对2012年的CCHS-MH做出了回应,该调查被加权后具有全国代表性。随机森林分析发现,在考虑了其他因素的差异和复杂的相互作用后,生活满意度(相对重要性= 1.00)、负面社会互动(0.99)、主要压力源(0.85)和年龄(0.77)是心理压力最重要的相关因素。在较小程度上,就业状况(0.36)也是一个重要变量。单变量线性回归表明,这些变量的影响范围从小到中到大。多元线性回归显示,较低的生活满意度、较年轻、较多的负面社会互动、报告主要压力源和就业都与较大的心理压力有关(贝塔范围= 0.03 ~ 0.84,均p
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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