Evidence map›Paper›PMID 41217484›Full record

ArticleInternational archives of occupational and environmental health2025

Linking health lifestyle classes to blue-collar workers' participation in worksite health promotion programs in freight transport: a latent class analysis.

Marc A W Damen, Sarah I Detaille, Luuk P van Iperen, Josephine A Engels, Annet H De Lange

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marc A W DamenFaculty of Psychology, Open Universiteit, Heerlen, The Netherlands. marc.damen@han.nl.ORCID 0000-0002-7346-8697
Sarah I DetailleSchool of Organization and Development, Research Group Human Capital Innovations, HAN University of Applied Sciences, Nijmegen, The Netherlands.ORCID 0000-0001-6240-5503
Luuk P van IperenSchool of Organization and Development, Applied Psychology, HAN University of Applied Sciences, Nijmegen, The Netherlands.ORCID 0000-0003-2804-7209
Josephine A EngelsSchool of Organization and Development, Research Group Occupation and Health, HAN University of Applied Sciences, Nijmegen, The Netherlands.ORCID 0000-0003-3292-4702
Annet H De LangeFaculty of Psychology, Open Universiteit, Heerlen, The Netherlands.ORCID 0000-0002-9122-7387

Funding

Hogeschool van Arnhem en Nijmegen IN1313ZonMw 531001401
6 · The paper itself

Abstract

purposeWorksite health promotion programs (WHPPs) are able to promote a healthier lifestyle for blue-collar workers in freight transport, yet their participation is generally low. 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.

methodsData 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, Mage = 49.3 years (SD = 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’ classes were examined together with the likelihood of WHPP participation.

resultsFor blue-collar workers, a 5-class solution provided the best fit. These classes were labeled: (1) “unhealthy diet” (14%), (2) “health promoting” (29%), (3) “lack of moderate physical activity” (31%), (4) “low physical activity” (15%), and (5) “sleep deprived” (11%). For white-collar workers, a 4-class solution provided the best fit, with three comparable classes and one “health compromising” class. Blue-collar workers of the “unhealthy diet” and “sleep deprived” class reported the lowest perceived health, and showed highest WHPP participation levels. “Low physical activity” class members reported unhealthy behaviors, yet showed lowest participation levels.

conclusionsThese 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.

Indexed as

Health PromotionHealthy LifestyleLife StyleOccupationsWorkplaceAdultExerciseFemaleHumansLatent Class AnalysisMaleMiddle AgedOccupational HealthSurveys and QuestionnairesBlue-collar workersImplementationLatent class analysisParticipationTransportWorksite health promotion programs (WHPPs)

Identifiers

PMID41217484
PMCPMC12672841

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.