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Western University

A Novel Measure of Work Stress: Identifying Work Stressor Patterns in Canada Using Latent Class Analysis

Abstract

dc:description.abstract

This analysis utilizes data from the 2012 Mental Health component of the Canadian Community Health Survey (CCHS-MH) and latent class analysis to identify patterns of stressful work environments and their relationship with occupational and social location. Based on the intersection of 12 work stress measures, five classes of stressful work environments emerged that can be described as low stress, high stress, physical stress, monotonous, and chaotic environments. Results from models including covariates show that work stress exposure is stratified by occupation, socioeconomic status, age, gender, race/ethnicity, immigrant status, and marital status. Notably, blue- and pink-collar workers had higher odds of experiencing patterns of high stress and physical stress. With some exceptions, less educated, lower income workers, as well as women and younger workers, were more likely to experience all patterns of stressful work environments compared to experiencing low stress.

Degree

thesis:*
Name thesis:degree_name
Master of Arts
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Pajovic, Vesna
Advisor dc:contributor.advisor
  • Shuey, Kim

Subjects

dc:subject × 4

Rights

Language dc:language.iso
en_ca

Identifiers

dc:identifier.*

Chain of custody

source
Harvested from
Western University
Base URL
uwo.scholaris.ca/server/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Pajovic, Vesna. A Novel Measure of Work Stress: Identifying Work Stressor Patterns in Canada Using Latent Class Analysis. 2017. https://hdl.handle.net/20.500.14721/14925