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Work Conditions and Determinants of Health Status Among Industrial Shift Workers: a Cross-sectional Study

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Date 2025 Jan 22
PMID 39839437
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Abstract

Introduction: This study investigated potential health status differences among forging, manufacturing, and logistics workers.

Methods: We 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.

Results: 308 workers (76.4%) reported at least one musculoskeletal issue. A significant between-group difference was revealed for left shoulder [(2,40) = 5.40;  = 0.008; ω = 0.17], occupational MVPA [(2,368) = 9.49;  < 0.001; ω = 0.04] and total MVPA [(2,368) = 6.90;  = 0.001; ω = 0.03]. Post-hoc tests revealed a difference ( ≤ 0.007) between manufacturing (left shoulder:  = 22; 42.5 ± 24.8; occupational MVPA:  = 219; 6,978 ± 5,137 METs min/week; total MVPA:  = 219; 8,471 ± 5,390 METs min/week) and logistics workers (left shoulder:  = 14; 70.4 ± 26.3 au; occupational MVPA:  = 96; 9,640 ± 4,605 METs min/week; total MVPA:  = 96; 10,856 ± 4,680 METs min/week). No other between-group differences were observed.

Discussion: Variations 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.

References
1.
Yan T, Ji F, Bi M, Wang H, Cui X, Liu B . Occupational stress and associated risk factors among 13,867 industrial workers in China. Front Public Health. 2022; 10:945902. PMC: 9714303. DOI: 10.3389/fpubh.2022.945902. View

2.
Zhang X, Schall Jr M, Chen H, Gallagher S, Davis G, Sesek R . Manufacturing worker perceptions of using wearable inertial sensors for multiple work shifts. Appl Ergon. 2021; 98():103579. PMC: 11627332. DOI: 10.1016/j.apergo.2021.103579. View

3.
Cheng S, Wang Y . The impact of perceived environmental competitiveness on employee mental health: a moderated mediation model of job crafting and work-family conflict. Front Public Health. 2024; 12:1433215. PMC: 11361980. DOI: 10.3389/fpubh.2024.1433215. View

4.
Lins L, Carvalho F . SF-36 total score as a single measure of health-related quality of life: Scoping review. SAGE Open Med. 2016; 4:2050312116671725. PMC: 5052926. DOI: 10.1177/2050312116671725. View

5.
Foncubierta-Rodriguez M, Poza-Mendez M, Holgado-Herrero M . Workplace health promotion programs: The role of compliance with workers' expectations, the reputation and the productivity of the company. J Safety Res. 2024; 89:56-63. DOI: 10.1016/j.jsr.2024.02.008. View