Impact of work-related factors, lifestyle, and work ability on sickness absence among Dutch construction workers

Alavinia, Seyed Mohammad; Berg, T. I. J. van den; Duivenbooden, Cor van; Elders, L. A. M.; Burdorf, Alex

doi:10.5271/sjweh.1340

Cited by 189 publications

(187 citation statements)

References 50 publications

(58 reference statements)

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“…Our results are in accordance with findings in populations of non-pregnant working women and even men (21)(22)(23)(24). Comparability between studies is, however, limited by differences in exposure classification, outcome definitions and adjustment for potential confounders.…”

Section: Discussionsupporting

confidence: 82%

Occupational exposures and sick leave during pregnancy: results from a Danish cohort study

Hansen¹,

Thulstrup²,

Juhl³

et al. 2015

Scand J Work Environ Health

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Occupational exposures and sick leave during pregnancy: results from a Danish cohort study by Hansen ML, Thulstrup AM, Juhl M, Kristensen JK, Ramlau-Hansen CH This paper adds to the limited literature on specific occupational exposures and risk of sick leave during pregnancy. The paper is based on a large population-based cohort of pregnant women with the opportunity to adjust for a number of potential confounders. The occupational exposures are based on self-reports and give the opportunity to investigate dose-response relations. 397Original article Scand J Work Environ Health. 2015;41(4):397-406. doi:10.5271/sjweh.3507 Occupational exposures and sick leave during pregnancy: results from a Danish cohort study Conclusion Our results support previous findings and suggest that initiatives to prevent sick leave during pregnancy could be based on work conditions. Preventive measures may have important implications for pregnant women and workplaces.

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Section: Discussionsupporting

confidence: 82%

Occupational exposures and sick leave during pregnancy: results from a Danish cohort study

Hansen¹,

Thulstrup²,

Juhl³

et al. 2015

Scand J Work Environ Health

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“…According to previous research, individuals with older age, history of previous sick leave, worse mental and physical functioning, negative expectation of recovery, lower socio-economic status, and impaired work ability are at increased risk for long-term sick leave. Work-related factors such as high physical demands of the job, lack of job control, manual material handling, and lack of social support in the workplace are also important predictors for longer duration of sick leave [39][40][41][42]. The results of our study suggest that PHC professionals feel they have the knowledge to detect patients at risk for long-term sick leave at the first encounter.…”

Section: Handling Sickness Certificationsmentioning

confidence: 61%

Primary Healthcare Professionals’ Experiences of the Sick Leave Process: A Focus Group Study in Sweden

et al. 2013

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“…With regard to musculoskeletal disorders, neck pain and low-back pain have received most attention in this respect (5,(7)(8). While a range of other factors, such as female gender (9), increasing age, high physical workload (9)(10)(11), poor psychosocial working conditions, obesity, smoking (9)(10)(11), and being physically inactive during leisure-time (12), have been implicated as risk factors for SA in general, little is known about their importance regarding SA due to musculoskeletal pain specifically.…”

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confidence: 99%

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens

Haukka¹,

Kaila-Kangas²,

Luukkonen³

et al. 2014

Scand J Work Environ Health

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Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens by Haukka E, Kaila-Kangas L, Luukkonen R, Takala E-P, Viikari-Juntura E, Leino-Arjas P We identified three distinct trajectories of sickness absence (SA) due to musculoskeletal pain among female kitchen workers during two years. Depressive symptoms, musculoskeletal diseases, and multisite pain predicted belonging to a trajectory of high and increasing SA, while multisite pain, smoking, and overweight or obesity predicted belonging to a trajectory of intermediate occurrence of SA. Original article Scand J Work Environ Health. 2014;40(3):278-286. doi:10.5271/sjweh.3415 Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens Haukka E, Kaila-Kangas L, Luukkonen R, Takala E-P, Viikari-Juntura E, Leino-Arjas P. Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens. Scand J Work Environ Health. 2014;40(3):278-286. doi:10.5271/sjweh.3415 AffiliationObjective We studied predictors of sickness absences (SA) due to musculoskeletal pain over two years among 386 municipal female kitchen workers.Methods Pain and SA periods (no/yes) due to pain in seven sites during the past three months were assessed at 3-month intervals over two years by questionnaire. Age, musculoskeletal pain, multisite pain (pain in ≥3 sites), musculoskeletal and other somatic diseases, depressive symptoms, physical and psychosocial workload, body mass index, smoking, and leisure-time physical activity (LTPA) at baseline were considered as predictors. Trajectory analysis and multinomial logistic regression were used.Results Three trajectories of SA emerged, labelled as "none" (41% of the subjects), "intermediate" (48%), and "high" (11%). With the "none" trajectory (no SA) as reference, pain in all musculoskeletal sites excepting the low back predicted belonging to the "intermediate" [odds ratio (OR) 1.82-2.48] or "high" (OR 2.56-3.74) trajectory adjusted for age; multisite pain predicted membership of the "intermediate" [OR 2.15, 95% confidence interval (95% CI) 1.38-3.34] or "high" (OR 4.66, 95% CI 2.10-10.3) trajectories. In a mutually adjusted final model, smoking (OR 2.12, 95% CI 1.22-3.69), multisite pain (OR 1.87, 95% CI 1.15-3.02), and overweight/obesity (OR 1.71, 95% CI 1.08-2.72) predicted belonging to the "intermediate" trajectory, while depressive symptoms (OR 3.57, 95% CI 1.57-8.10), musculoskeletal diseases (OR 3.18, 95% CI 1.37-7.37), and multisite pain (OR 2.72, 95% CI 1.15-6.40) were associated with the "high" trajectory. ConclusionAlong with the number of pain sites and musculoskeletal diseases, attention to depressive symptoms, smoking, and overweight/obesity is needed to tackle SA related to musculoskeletal pain.

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Impact of work-related factors, lifestyle, and work ability on sickness absence among Dutch construction workers

Cited by 189 publications

References 50 publications

Occupational exposures and sick leave during pregnancy: results from a Danish cohort study

Occupational exposures and sick leave during pregnancy: results from a Danish cohort study

Primary Healthcare Professionals’ Experiences of the Sick Leave Process: A Focus Group Study in Sweden

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens

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