Work conditions and determinants of health status among industrial shift workers: a cross-sectional study
IntroductionThis study investigated potential health status differences among forging, manufacturing, and logistics workers.MethodsWe included 403 participants (age: 41 ± 12 years) from a medium-sized steel company (forge: 64, manufacturing: 299, logistics: 99). Health status was multifactorial asse...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1489178/full |
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| author | Sasha Javanmardi Ludwig Rappelt Ludwig Rappelt Christian Baumgart Daniel Niederer Lars Heinke Jürgen Freiwald |
| author_facet | Sasha Javanmardi Ludwig Rappelt Ludwig Rappelt Christian Baumgart Daniel Niederer Lars Heinke Jürgen Freiwald |
| author_sort | Sasha Javanmardi |
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| description | IntroductionThis study investigated potential health status differences among forging, manufacturing, and logistics workers.MethodsWe included 403 participants (age: 41 ± 12 years) from a medium-sized steel company (forge: 64, manufacturing: 299, logistics: 99). Health status was multifactorial assessed: (1) Frequency of musculoskeletal complaints (German Pain Questionnaire). (2) Pain intensity, physical and psychological load [visual analog scales (VAS) 0–100 points]. (3) Occupational moderate-to-vigorous physical activity (MVPA), total MVPA, and sedentary behavior [Global Physical Activity Questionnaire (GPAQ)]. (4) Quality of life [Short Form Health Survey (SF-36)]. Between-group effects were analyzed via one-way ANOVAs with post-hoc Tukey correction.Results308 workers (76.4%) reported at least one musculoskeletal issue. A significant between-group difference was revealed for left shoulder [F(2,40) = 5.40; p = 0.008; ω2 = 0.17], occupational MVPA [F(2,368) = 9.49; p < 0.001; ω2 = 0.04] and total MVPA [F(2,368) = 6.90; p = 0.001; ω2 = 0.03]. Post-hoc tests revealed a difference (p ≤ 0.007) between manufacturing (left shoulder: n = 22; 42.5 ± 24.8; occupational MVPA: n = 219; 6,978 ± 5,137 METs min/week; total MVPA: n = 219; 8,471 ± 5,390 METs min/week) and logistics workers (left shoulder: n = 14; 70.4 ± 26.3 au; occupational MVPA: n = 96; 9,640 ± 4,605 METs min/week; total MVPA: n = 96; 10,856 ± 4,680 METs min/week). No other between-group differences were observed.DiscussionVariations in health disparities across work conditions were observed. Yet, clear distinctions between work conditions and health outcomes remain a challenge. Effective interventions should be focused on job-specific and personalized health profiles rather than a stratification of work conditions to enhance health, productivity, and workforce sustainability. |
| format | Article |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-8b7de6cfc89d4dbe93979c16883e52c12025-01-07T06:49:56ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011210.3389/fpubh.2024.14891781489178Work conditions and determinants of health status among industrial shift workers: a cross-sectional studySasha Javanmardi0Ludwig Rappelt1Ludwig Rappelt2Christian Baumgart3Daniel Niederer4Lars Heinke5Jürgen Freiwald6Department of Movement and Training Science, University of Wuppertal, Wuppertal, GermanyDepartment of Movement and Training Science, University of Wuppertal, Wuppertal, GermanyDepartment of Intervention Research in Exercise Training, German Sport University Cologne, Cologne, GermanyDepartment of Movement and Training Science, University of Wuppertal, Wuppertal, GermanyDepartment of Sports Medicine and Exercise Physiology, Institute of Occupational, Social and Environmental Medicine, Goethe University Frankfurt, Frankfurt/Main, GermanyDepartment of Movement and Training Science, University of Wuppertal, Wuppertal, GermanyDepartment of Movement and Training Science, University of Wuppertal, Wuppertal, GermanyIntroductionThis study investigated potential health status differences among forging, manufacturing, and logistics workers.MethodsWe included 403 participants (age: 41 ± 12 years) from a medium-sized steel company (forge: 64, manufacturing: 299, logistics: 99). Health status was multifactorial assessed: (1) Frequency of musculoskeletal complaints (German Pain Questionnaire). (2) Pain intensity, physical and psychological load [visual analog scales (VAS) 0–100 points]. (3) Occupational moderate-to-vigorous physical activity (MVPA), total MVPA, and sedentary behavior [Global Physical Activity Questionnaire (GPAQ)]. (4) Quality of life [Short Form Health Survey (SF-36)]. Between-group effects were analyzed via one-way ANOVAs with post-hoc Tukey correction.Results308 workers (76.4%) reported at least one musculoskeletal issue. A significant between-group difference was revealed for left shoulder [F(2,40) = 5.40; p = 0.008; ω2 = 0.17], occupational MVPA [F(2,368) = 9.49; p < 0.001; ω2 = 0.04] and total MVPA [F(2,368) = 6.90; p = 0.001; ω2 = 0.03]. Post-hoc tests revealed a difference (p ≤ 0.007) between manufacturing (left shoulder: n = 22; 42.5 ± 24.8; occupational MVPA: n = 219; 6,978 ± 5,137 METs min/week; total MVPA: n = 219; 8,471 ± 5,390 METs min/week) and logistics workers (left shoulder: n = 14; 70.4 ± 26.3 au; occupational MVPA: n = 96; 9,640 ± 4,605 METs min/week; total MVPA: n = 96; 10,856 ± 4,680 METs min/week). No other between-group differences were observed.DiscussionVariations in health disparities across work conditions were observed. Yet, clear distinctions between work conditions and health outcomes remain a challenge. Effective interventions should be focused on job-specific and personalized health profiles rather than a stratification of work conditions to enhance health, productivity, and workforce sustainability.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1489178/fullworkplace health promotionoccupational healthoccupational hazardsmusculoskeletal disordersjob-profile |
| spellingShingle | Sasha Javanmardi Ludwig Rappelt Ludwig Rappelt Christian Baumgart Daniel Niederer Lars Heinke Jürgen Freiwald Work conditions and determinants of health status among industrial shift workers: a cross-sectional study Frontiers in Public Health workplace health promotion occupational health occupational hazards musculoskeletal disorders job-profile |
| title | Work conditions and determinants of health status among industrial shift workers: a cross-sectional study |
| title_full | Work conditions and determinants of health status among industrial shift workers: a cross-sectional study |
| title_fullStr | Work conditions and determinants of health status among industrial shift workers: a cross-sectional study |
| title_full_unstemmed | Work conditions and determinants of health status among industrial shift workers: a cross-sectional study |
| title_short | Work conditions and determinants of health status among industrial shift workers: a cross-sectional study |
| title_sort | work conditions and determinants of health status among industrial shift workers a cross sectional study |
| topic | workplace health promotion occupational health occupational hazards musculoskeletal disorders job-profile |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1489178/full |
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