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This study aims to identify different health lifestyle classes among blue-collar workers in freight transport and investigate the relationship between class membership and WHPP participation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data from 16,897 employees were obtained from an online health questionnaire as part of a sector induced WHPP (89.1% male, 71.0% blue-collar worker,\n                      <jats:italic>M<\/jats:italic>\n                      <jats:sub>age<\/jats:sub>\n                      = 49.3\u00a0years (\n                      <jats:italic>SD<\/jats:italic>\n                      = 12.7)). A latent class analysis was conducted to identify health lifestyle classes. Classes for blue-collar and white-collar workers were compared. Characteristics of the blue-collar workers\u2019 classes were examined together with the likelihood of WHPP participation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>For blue-collar workers, a 5-class solution provided the best fit. These classes were labeled: (1) \u201cunhealthy diet\u201d (14%), (2) \u201chealth promoting\u201d (29%), (3) \u201clack of moderate physical activity\u201d (31%), (4) \u201clow physical activity\u201d (15%), and (5) \u201csleep deprived\u201d (11%). For white-collar workers, a 4-class solution provided the best fit, with three comparable classes and one \u201chealth compromising\u201d class. Blue-collar workers of the \u201cunhealthy diet\u201d and \u201csleep deprived\u201d class reported the lowest perceived health, and showed highest WHPP participation levels. \u201cLow physical activity\u201d class members reported unhealthy behaviors, yet showed lowest participation levels.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These findings indicate that different lifestyle classes exist among blue-collar workers within the freight transport industry which can be linked to WHPP participation. Consequently, WHPPs and implementation strategies can be adjusted to serve existing classes among blue-collar workers within the industry, in order to enhance participation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00420-025-02175-2","type":"journal-article","created":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T10:40:10Z","timestamp":1762857610000},"page":"883-897","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Linking health lifestyle classes to blue-collar workers\u2019 participation in worksite health promotion programs in freight transport: a latent class analysis"],"prefix":"10.1007","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7346-8697","authenticated-orcid":false,"given":"Marc A. 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