Long-term sickness absence from work due to physical inactivity: A registry-based study

Cecilie Høgsbro, Michael Davidsen, Jan Sørensen*

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Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

Aims: The aim of this study was to explore the relationship between leisure-time physical inactivity and long-term sickness absence in a representative sample of individuals aged 16–54 years, within the labour market and in good health. It was hypothesised that physically inactive individuals have a higher risk of long-term sickness absence and longer duration of sickness absence. Methods: The study population was identified from the National Health and Morbidity Survey, 2010. Weekly data on long-term sickness absence were obtained from the National Register on Social Transfer Payments (the DREAM registry). The association of incidence and duration of long-term sickness absence with physical inactivity was explored using logistic and Poisson regression. Data were fitted to models with levels of physical activity, demographic, social and lifestyle characteristics as independent variables. A combined hurdle model was used to estimate the difference in mean number of absence weeks. Results: Logistic regression showed that physically inactive individuals had a 27% higher incidence of long-term sickness absence compared with physically active individuals. The Poisson regression showed that long-term sickness absence was only slightly shorter (1 week less) for moderately active individuals compared with inactive individuals. The hurdle model estimated longer absence periods for inactive individuals (additional 2.5 weeks) in comparison with moderately and highly active individuals. Conclusions: The study showed that physically inactive individuals have a higher incidence of long-term absence and that physically inactive individuals have longer periods with sickness absence than moderately and highly active individuals. When adjustments for social and health behaviour were included, the estimated associations became statistically insignificant.

OriginalsprogEngelsk
BogserieScandinavian Journal of Public Health
Vol/bind46
Udgave nummer3
Sider (fra-til)306-313
ISSN1403-4948
DOI
StatusUdgivet - 2018

Fingeraftryk

Registries
Incidence
Logistic Models
Social Adjustment
Leisure Activities
Health Behavior
Health Surveys
Health
Population

Citer dette

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abstract = "Aims: The aim of this study was to explore the relationship between leisure-time physical inactivity and long-term sickness absence in a representative sample of individuals aged 16–54 years, within the labour market and in good health. It was hypothesised that physically inactive individuals have a higher risk of long-term sickness absence and longer duration of sickness absence. Methods: The study population was identified from the National Health and Morbidity Survey, 2010. Weekly data on long-term sickness absence were obtained from the National Register on Social Transfer Payments (the DREAM registry). The association of incidence and duration of long-term sickness absence with physical inactivity was explored using logistic and Poisson regression. Data were fitted to models with levels of physical activity, demographic, social and lifestyle characteristics as independent variables. A combined hurdle model was used to estimate the difference in mean number of absence weeks. Results: Logistic regression showed that physically inactive individuals had a 27{\%} higher incidence of long-term sickness absence compared with physically active individuals. The Poisson regression showed that long-term sickness absence was only slightly shorter (1 week less) for moderately active individuals compared with inactive individuals. The hurdle model estimated longer absence periods for inactive individuals (additional 2.5 weeks) in comparison with moderately and highly active individuals. Conclusions: The study showed that physically inactive individuals have a higher incidence of long-term absence and that physically inactive individuals have longer periods with sickness absence than moderately and highly active individuals. When adjustments for social and health behaviour were included, the estimated associations became statistically insignificant.",
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author = "Cecilie H{\o}gsbro and Michael Davidsen and Jan S{\o}rensen",
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Long-term sickness absence from work due to physical inactivity : A registry-based study. / Høgsbro, Cecilie; Davidsen, Michael; Sørensen, Jan.

I: Scandinavian Journal of Public Health, Bind 46, Nr. 3, 2018, s. 306-313.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Long-term sickness absence from work due to physical inactivity

T2 - A registry-based study

AU - Høgsbro, Cecilie

AU - Davidsen, Michael

AU - Sørensen, Jan

PY - 2018

Y1 - 2018

N2 - Aims: The aim of this study was to explore the relationship between leisure-time physical inactivity and long-term sickness absence in a representative sample of individuals aged 16–54 years, within the labour market and in good health. It was hypothesised that physically inactive individuals have a higher risk of long-term sickness absence and longer duration of sickness absence. Methods: The study population was identified from the National Health and Morbidity Survey, 2010. Weekly data on long-term sickness absence were obtained from the National Register on Social Transfer Payments (the DREAM registry). The association of incidence and duration of long-term sickness absence with physical inactivity was explored using logistic and Poisson regression. Data were fitted to models with levels of physical activity, demographic, social and lifestyle characteristics as independent variables. A combined hurdle model was used to estimate the difference in mean number of absence weeks. Results: Logistic regression showed that physically inactive individuals had a 27% higher incidence of long-term sickness absence compared with physically active individuals. The Poisson regression showed that long-term sickness absence was only slightly shorter (1 week less) for moderately active individuals compared with inactive individuals. The hurdle model estimated longer absence periods for inactive individuals (additional 2.5 weeks) in comparison with moderately and highly active individuals. Conclusions: The study showed that physically inactive individuals have a higher incidence of long-term absence and that physically inactive individuals have longer periods with sickness absence than moderately and highly active individuals. When adjustments for social and health behaviour were included, the estimated associations became statistically insignificant.

AB - Aims: The aim of this study was to explore the relationship between leisure-time physical inactivity and long-term sickness absence in a representative sample of individuals aged 16–54 years, within the labour market and in good health. It was hypothesised that physically inactive individuals have a higher risk of long-term sickness absence and longer duration of sickness absence. Methods: The study population was identified from the National Health and Morbidity Survey, 2010. Weekly data on long-term sickness absence were obtained from the National Register on Social Transfer Payments (the DREAM registry). The association of incidence and duration of long-term sickness absence with physical inactivity was explored using logistic and Poisson regression. Data were fitted to models with levels of physical activity, demographic, social and lifestyle characteristics as independent variables. A combined hurdle model was used to estimate the difference in mean number of absence weeks. Results: Logistic regression showed that physically inactive individuals had a 27% higher incidence of long-term sickness absence compared with physically active individuals. The Poisson regression showed that long-term sickness absence was only slightly shorter (1 week less) for moderately active individuals compared with inactive individuals. The hurdle model estimated longer absence periods for inactive individuals (additional 2.5 weeks) in comparison with moderately and highly active individuals. Conclusions: The study showed that physically inactive individuals have a higher incidence of long-term absence and that physically inactive individuals have longer periods with sickness absence than moderately and highly active individuals. When adjustments for social and health behaviour were included, the estimated associations became statistically insignificant.

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KW - incidence of sickness absence

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KW - Physical inactivity

KW - Leisure Activities

KW - Risk Assessment

KW - Humans

KW - Middle Aged

KW - Male

KW - Sick Leave/statistics & numerical data

KW - Absenteeism

KW - Young Adult

KW - Exercise

KW - Time Factors

KW - Adolescent

KW - Denmark

KW - Adult

KW - Female

KW - Registries

KW - Sedentary Behavior

U2 - 10.1177/1403494817751328

DO - 10.1177/1403494817751328

M3 - Journal article

C2 - 29366394

AN - SCOPUS:85042196045

VL - 46

SP - 306

EP - 313

JO - Scandinavian Journal of Public Health. Supplement

JF - Scandinavian Journal of Public Health. Supplement

SN - 1403-4956

IS - 3

ER -