{"id":{"repo_id":"uwo","oai_identifier":"oai:uwo.scholaris.ca:20.500.14721/14925"},"canonical_url":"https://search.dev.ndltd.org/etd/uwo/oai:uwo.scholaris.ca:20.500.14721/14925","repository":{"repo_id":"uwo","name":"Western University","base_url":"https://uwo.scholaris.ca/server/oai/request"},"display":{"title":"A Novel Measure of Work Stress: Identifying Work Stressor Patterns in Canada Using Latent Class Analysis","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Pajovic, Vesna"],"institution":null,"degree_name":"Master of Arts","degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Shuey, Kim"],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017","date_published":"2017","updated_at":"2026-08-21T22:21:56Z","subjects":["work stress","work stressors","latent class analysis","workplace environment"],"languages":["en_ca"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14721/14925","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"source_record":{"url":"https://uwo.scholaris.ca/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Auwo.scholaris.ca%3A20.500.14721%2F14925","prefix":"dim"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Shuey, Kim"]},{"key":"dc:creator","label":"Author","values":["Pajovic, Vesna"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-06-23T14:59:27Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-06-23T14:59:27Z"]},{"key":"dc:date.issued","label":"Date","values":["2017"]},{"key":"dc:type","label":"Dc Type","values":["research report"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Arts"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["work stress","work stressors","latent class analysis","workplace environment"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_ca"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.14721/14925"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["A Novel Measure of Work Stress: Identifying Work Stressor Patterns in Canada Using Latent Class Analysis"]}]}],"canonical_facts":{"dc:contributor.advisor":["Shuey, Kim"],"dc:creator":["Pajovic, Vesna"],"dc:date.accessioned":["2025-06-23T14:59:27Z"],"dc:date.available":["2025-06-23T14:59:27Z"],"dc:date.issued":["2017"],"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."],"dc:identifier.uri":["https://hdl.handle.net/20.500.14721/14925"],"dc:language.iso":["en_ca"],"dc:subject":["work stress","work stressors","latent class analysis","workplace environment"],"dc:title":["A Novel Measure of Work Stress: Identifying Work Stressor Patterns in Canada Using Latent Class Analysis"],"dc:type":["research report"],"thesis:degree_name":["Master of Arts"]},"updated_at":"2026-08-21T22:21:56Z"}