Workplace levels of psychosocial factors as prospective predictors of registered sickness absence

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Standard

Workplace levels of psychosocial factors as prospective predictors of registered sickness absence. / Christensen, Karl Bang; Nielsen, Martin L; Rugulies, Reiner; Smith-Hansen, Lars; Kristensen, Tage S.

I: Journal of Occupational and Environmental Medicine, Bind 47, Nr. 9, 2005, s. 933-40.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Christensen, KB, Nielsen, ML, Rugulies, R, Smith-Hansen, L & Kristensen, TS 2005, 'Workplace levels of psychosocial factors as prospective predictors of registered sickness absence', Journal of Occupational and Environmental Medicine, bind 47, nr. 9, s. 933-40.

APA

Christensen, K. B., Nielsen, M. L., Rugulies, R., Smith-Hansen, L., & Kristensen, T. S. (2005). Workplace levels of psychosocial factors as prospective predictors of registered sickness absence. Journal of Occupational and Environmental Medicine, 47(9), 933-40.

Vancouver

Christensen KB, Nielsen ML, Rugulies R, Smith-Hansen L, Kristensen TS. Workplace levels of psychosocial factors as prospective predictors of registered sickness absence. Journal of Occupational and Environmental Medicine. 2005;47(9):933-40.

Author

Christensen, Karl Bang ; Nielsen, Martin L ; Rugulies, Reiner ; Smith-Hansen, Lars ; Kristensen, Tage S. / Workplace levels of psychosocial factors as prospective predictors of registered sickness absence. I: Journal of Occupational and Environmental Medicine. 2005 ; Bind 47, Nr. 9. s. 933-40.

Bibtex

@article{1c524950edf811ddbf70000ea68e967b,
title = "Workplace levels of psychosocial factors as prospective predictors of registered sickness absence",
abstract = "OBJECTIVE: We sought to investigate whether workplace levels of psychosocial work environment factors predict individual sickness absence. METHODS: Data were collected in a prospective study in 52 Danish workplaces in three organizations: municipal care, technical services, and a pharmaceutical company. Psychosocial factors were aggregated as workplace means. We used multilevel Poisson regression models with psychosocial factors as predictors and individual level sickness absence from absence registries as outcome. RESULTS: High workplace levels of decision authority predicted low sickness absence in the technical services (rate ratio = 0.66, 95% confidence interval = 0.51-0.86) and high workplace levels of skill discretion predicted low sickness absence in the pharmaceutical company (rate ratio = 0.74, 95% confidence interval = 0.62-0.88) after control for relevant confounders. Workplaces in municipal care did not differ with respect to the psychosocial factors. CONCLUSIONS: Psychosocial factors at the workplace level may be important predictors of sickness absence.",
author = "Christensen, {Karl Bang} and Nielsen, {Martin L} and Reiner Rugulies and Lars Smith-Hansen and Kristensen, {Tage S}",
note = "Keywords: Absenteeism; Adult; Case-Control Studies; Decision Making; Female; Humans; Interpersonal Relations; Male; Prospective Studies; Regression Analysis; Sick Leave; Stress, Psychological; Workplace",
year = "2005",
language = "English",
volume = "47",
pages = "933--40",
journal = "Journal of Occupational and Environmental Medicine",
issn = "1076-2752",
publisher = "Lippincott Williams & Wilkins",
number = "9",

}

RIS

TY - JOUR

T1 - Workplace levels of psychosocial factors as prospective predictors of registered sickness absence

AU - Christensen, Karl Bang

AU - Nielsen, Martin L

AU - Rugulies, Reiner

AU - Smith-Hansen, Lars

AU - Kristensen, Tage S

N1 - Keywords: Absenteeism; Adult; Case-Control Studies; Decision Making; Female; Humans; Interpersonal Relations; Male; Prospective Studies; Regression Analysis; Sick Leave; Stress, Psychological; Workplace

PY - 2005

Y1 - 2005

N2 - OBJECTIVE: We sought to investigate whether workplace levels of psychosocial work environment factors predict individual sickness absence. METHODS: Data were collected in a prospective study in 52 Danish workplaces in three organizations: municipal care, technical services, and a pharmaceutical company. Psychosocial factors were aggregated as workplace means. We used multilevel Poisson regression models with psychosocial factors as predictors and individual level sickness absence from absence registries as outcome. RESULTS: High workplace levels of decision authority predicted low sickness absence in the technical services (rate ratio = 0.66, 95% confidence interval = 0.51-0.86) and high workplace levels of skill discretion predicted low sickness absence in the pharmaceutical company (rate ratio = 0.74, 95% confidence interval = 0.62-0.88) after control for relevant confounders. Workplaces in municipal care did not differ with respect to the psychosocial factors. CONCLUSIONS: Psychosocial factors at the workplace level may be important predictors of sickness absence.

AB - OBJECTIVE: We sought to investigate whether workplace levels of psychosocial work environment factors predict individual sickness absence. METHODS: Data were collected in a prospective study in 52 Danish workplaces in three organizations: municipal care, technical services, and a pharmaceutical company. Psychosocial factors were aggregated as workplace means. We used multilevel Poisson regression models with psychosocial factors as predictors and individual level sickness absence from absence registries as outcome. RESULTS: High workplace levels of decision authority predicted low sickness absence in the technical services (rate ratio = 0.66, 95% confidence interval = 0.51-0.86) and high workplace levels of skill discretion predicted low sickness absence in the pharmaceutical company (rate ratio = 0.74, 95% confidence interval = 0.62-0.88) after control for relevant confounders. Workplaces in municipal care did not differ with respect to the psychosocial factors. CONCLUSIONS: Psychosocial factors at the workplace level may be important predictors of sickness absence.

M3 - Journal article

C2 - 16155478

VL - 47

SP - 933

EP - 940

JO - Journal of Occupational and Environmental Medicine

JF - Journal of Occupational and Environmental Medicine

SN - 1076-2752

IS - 9

ER -

ID: 9996987