Cargando…

Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study

BACKGROUND: To investigate whether the clustering of different health behaviours (i.e. physical activity, tobacco use and alcohol consumption) influences the associations between psychosocial working conditions and disability pension due to different diagnoses. METHODS: A population-based sample of...

Descripción completa

Detalles Bibliográficos
Autores principales: Ropponen, Annina, Narusyte, Jurgita, Silventoinen, Karri, Svedberg, Pia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541297/
https://www.ncbi.nlm.nih.gov/pubmed/33023556
http://dx.doi.org/10.1186/s12889-020-09567-8
_version_ 1783591378665603072
author Ropponen, Annina
Narusyte, Jurgita
Silventoinen, Karri
Svedberg, Pia
author_facet Ropponen, Annina
Narusyte, Jurgita
Silventoinen, Karri
Svedberg, Pia
author_sort Ropponen, Annina
collection PubMed
description BACKGROUND: To investigate whether the clustering of different health behaviours (i.e. physical activity, tobacco use and alcohol consumption) influences the associations between psychosocial working conditions and disability pension due to different diagnoses. METHODS: A population-based sample of 24,987 Swedish twins born before 1958 were followed from national registers for disability pension until 2013. Baseline survey data in 1998–2003 were used to assess health behaviours and psychosocial Job Exposure Matrix for job control, job demands and social support. Cox proportional hazards models were used to calculate hazard ratios (HR) with 95% confidence intervals (CI). RESULTS: During follow-up, 1252 disability pensions due to musculoskeletal disorders (5%), 601 due to mental diagnoses (2%) and 1162 due to other diagnoses (5%) occurred. In the models controlling for covariates, each one-unit increase in job demands was associated with higher (HR 1.16, 95%CI 1.01–1.33) and in job control with lower (HR 0.87, 95%CI 0.80–0.94) risk of disability pension due to musculoskeletal disorders among those with unhealthy behaviours. Among those with healthy behaviours, one-unit increase of social support was associated with a higher risk of disability pension due to mental and due to other diagnoses (HRs 1.29–1.30, 95%CI 1.04–1.63). CONCLUSIONS: Job control and job demands were associated with the risk of disability pension due to musculoskeletal disorders only among those with unhealthy behaviours. Social support was a risk factor for disability pension due to mental or other diagnoses among those with healthy behaviours. Workplaces and occupational health care should acknowledge these simultaneous circumstances in order to prevent disability pension.
format Online
Article
Text
id pubmed-7541297
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-75412972020-10-08 Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study Ropponen, Annina Narusyte, Jurgita Silventoinen, Karri Svedberg, Pia BMC Public Health Research Article BACKGROUND: To investigate whether the clustering of different health behaviours (i.e. physical activity, tobacco use and alcohol consumption) influences the associations between psychosocial working conditions and disability pension due to different diagnoses. METHODS: A population-based sample of 24,987 Swedish twins born before 1958 were followed from national registers for disability pension until 2013. Baseline survey data in 1998–2003 were used to assess health behaviours and psychosocial Job Exposure Matrix for job control, job demands and social support. Cox proportional hazards models were used to calculate hazard ratios (HR) with 95% confidence intervals (CI). RESULTS: During follow-up, 1252 disability pensions due to musculoskeletal disorders (5%), 601 due to mental diagnoses (2%) and 1162 due to other diagnoses (5%) occurred. In the models controlling for covariates, each one-unit increase in job demands was associated with higher (HR 1.16, 95%CI 1.01–1.33) and in job control with lower (HR 0.87, 95%CI 0.80–0.94) risk of disability pension due to musculoskeletal disorders among those with unhealthy behaviours. Among those with healthy behaviours, one-unit increase of social support was associated with a higher risk of disability pension due to mental and due to other diagnoses (HRs 1.29–1.30, 95%CI 1.04–1.63). CONCLUSIONS: Job control and job demands were associated with the risk of disability pension due to musculoskeletal disorders only among those with unhealthy behaviours. Social support was a risk factor for disability pension due to mental or other diagnoses among those with healthy behaviours. Workplaces and occupational health care should acknowledge these simultaneous circumstances in order to prevent disability pension. BioMed Central 2020-10-06 /pmc/articles/PMC7541297/ /pubmed/33023556 http://dx.doi.org/10.1186/s12889-020-09567-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ropponen, Annina
Narusyte, Jurgita
Silventoinen, Karri
Svedberg, Pia
Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
title Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
title_full Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
title_fullStr Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
title_full_unstemmed Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
title_short Health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
title_sort health behaviours and psychosocial working conditions as predictors of disability pension due to different diagnoses: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541297/
https://www.ncbi.nlm.nih.gov/pubmed/33023556
http://dx.doi.org/10.1186/s12889-020-09567-8
work_keys_str_mv AT ropponenannina healthbehavioursandpsychosocialworkingconditionsaspredictorsofdisabilitypensionduetodifferentdiagnosesapopulationbasedstudy
AT narusytejurgita healthbehavioursandpsychosocialworkingconditionsaspredictorsofdisabilitypensionduetodifferentdiagnosesapopulationbasedstudy
AT silventoinenkarri healthbehavioursandpsychosocialworkingconditionsaspredictorsofdisabilitypensionduetodifferentdiagnosesapopulationbasedstudy
AT svedbergpia healthbehavioursandpsychosocialworkingconditionsaspredictorsofdisabilitypensionduetodifferentdiagnosesapopulationbasedstudy