{"doi":"10.1123/jpah.2025-0367","title":"Associations Between Work Style and Nonoccupational Physical Activity Among Older Workers","abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Background</jats:bold>\n                      :\n                    </jats:italic>\n                    Employment among older adults has been increasing; however, its association with daily activities remains unclear. This study examined the associations between working condition categories and nonoccupational physical activity among older workers in Japan.\n                    <jats:italic>\n                      <jats:bold>Methods</jats:bold>\n                      :\n                    </jats:italic>\n                    This cross-sectional study used the baseline data from the Wako Cohort Study conducted in 2023. Of the 6429 older respondents, we analyzed 1689 older workers (age range: 65–91). They were categorized by their paid work hours (full time: ≥20 h/wk, part time: &lt;20 h/wk) and the presence or absence of occupational physical activity. A questionnaire combining the Global Physical Activity Questionnaire and International Physical Activity Questionnaire long form was used to assess occupational, leisure-time, household, and transport-related physical activity. A 2-part model was fitted to analyze the binary (engagement vs nonengagement) and continuous outcomes of nonoccupational physical activity.\n                    <jats:italic>\n                      <jats:bold>Results</jats:bold>\n                      :\n                    </jats:italic>\n                    Compared with part-time work involving occupational physical activity, full-time work with and without occupational physical activity showed significantly lower odds of engaging in leisure-time physical activity (odds ratio: 0.62; 95% CI, 0.42–0.91 and 0.54; 95% CI, 0.35–0.84, respectively). Full- and part-time work hours without occupational physical activity had a lower odds ratio of engaging in household physical activity (odds ratio: 0.35; 95% CI, 0.22–0.56 and 0.31; 95% CI, 0.19–0.50, respectively). In addition, they were associated with lower levels of total nonoccupational physical activity (mean ratio: 0.83; 95% CI, 0.71–0.98 and 0.72; 95% CI, 0.61–0.86, respectively).\n                    <jats:italic>\n                      <jats:bold>Conclusion</jats:bold>\n                      :\n                    </jats:italic>\n                    Working condition categories can reflect the physical activity characteristics of older workers outside their work hours.\n                  </jats:p>","journal":"Journal of Physical Activity and Health","year":2026,"id":643776,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1567605,"name":"Yuri Yokoyama","orcid":null,"position":1,"is_corresponding":false},{"id":1675201,"name":"Yu Nofuji","orcid":null,"position":2,"is_corresponding":false},{"id":1675202,"name":"Kumiko Nonaka","orcid":null,"position":3,"is_corresponding":false},{"id":447199,"name":"Hiroshi Murayama","orcid":"0000-0003-2991-7763","position":4,"is_corresponding":false},{"id":1675200,"name":"Takumi Abe","orcid":"0000-0002-7925-3136","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Associations Between Work Style and Nonoccupational Physical Activity Among Older Workers","abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Background</jats:bold>\n                      :\n                    </jats:italic>\n                    Employment among older adults has been increasing; however, its association with daily activities remains unclear. This study examined the associations between working condition categories and nonoccupational physical activity among older workers in Japan.\n                    <jats:italic>\n                      <jats:bold>Methods</jats:bold>\n                      :\n                    </jats:italic>\n                    This cross-sectional study used the baseline data from the Wako Cohort Study conducted in 2023. Of the 6429 older respondents, we analyzed 1689 older workers (age range: 65–91). They were categorized by their paid work hours (full time: ≥20 h/wk, part time: &lt;20 h/wk) and the presence or absence of occupational physical activity. A questionnaire combining the Global Physical Activity Questionnaire and International Physical Activity Questionnaire long form was used to assess occupational, leisure-time, household, and transport-related physical activity. A 2-part model was fitted to analyze the binary (engagement vs nonengagement) and continuous outcomes of nonoccupational physical activity.\n                    <jats:italic>\n                      <jats:bold>Results</jats:bold>\n                      :\n                    </jats:italic>\n                    Compared with part-time work involving occupational physical activity, full-time work with and without occupational physical activity showed significantly lower odds of engaging in leisure-time physical activity (odds ratio: 0.62; 95% CI, 0.42–0.91 and 0.54; 95% CI, 0.35–0.84, respectively). Full- and part-time work hours without occupational physical activity had a lower odds ratio of engaging in household physical activity (odds ratio: 0.35; 95% CI, 0.22–0.56 and 0.31; 95% CI, 0.19–0.50, respectively). In addition, they were associated with lower levels of total nonoccupational physical activity (mean ratio: 0.83; 95% CI, 0.71–0.98 and 0.72; 95% CI, 0.61–0.86, respectively).\n                    <jats:italic>\n                      <jats:bold>Conclusion</jats:bold>\n                      :\n                    </jats:italic>\n                    Working condition categories can reflect the physical activity characteristics of older workers outside their work hours.\n                  </jats:p>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41838433","pmcid":null,"openalex_id":"https://openalex.org/W7135420712","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.26838035,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://journals.humankinetics.com/view/journals/jpah/23/8/article-p1133.xml","host_type":"publisher"},{"url":"https://journals.humankinetics.com/downloadpdf/journals/jpah/23/8/article-p1133.xml","host_type":"publisher"},{"url":"https://doi.org/10.1123/jpah.2025-0367","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41838433","host_type":"repository"}],"fields_of_study":["Physical Activity and Health","Workplace Health and Well-being","Retirement, Disability, and Employment"],"mesh_terms":["Working Conditions","Aged","Aged, 80 and over","Cross-Sectional Studies","Employment","Female","Humans","Japan","Leisure Activities","Male","Surveys and Questionnaires","Exercise"],"keywords":["Physical activity","Odds","Occupational safety and health","Life style","Odds ratio","Cohort","Human factors and ergonomics","Cohort study","Occupation","Time Use","Employees","Working","Job"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Decent work and economic growth"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-08T18:50:12.083887Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}