Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study
Multimorbidity and socioeconomic position are independently associated with mortality. We investigated the association of occupational position and several multimorbidity measures with all-cause mortality. A cohort of people aged 35 to 75 years who participated in the Trøndelag Health Study in 2006–...
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MDPI AG
2020-08-01
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author | Kristin Hestmann Vinjerui Johan H. Bjorngaard Steinar Krokstad Kirsty A. Douglas Erik R. Sund |
author_facet | Kristin Hestmann Vinjerui Johan H. Bjorngaard Steinar Krokstad Kirsty A. Douglas Erik R. Sund |
author_sort | Kristin Hestmann Vinjerui |
collection | DOAJ |
description | Multimorbidity and socioeconomic position are independently associated with mortality. We investigated the association of occupational position and several multimorbidity measures with all-cause mortality. A cohort of people aged 35 to 75 years who participated in the Trøndelag Health Study in 2006–2008 and had occupational data was linked to the Norwegian National Population Registry for all-cause mortality from study entry until 1 February 2019. Logistic regression models for each occupational group were used to analyze associations between the number of conditions and 10-year risk of death. Cox regression models were used to examine associations between combinations of multimorbidity, occupational position, and mortality. Analyses were conducted for men and women. Included were 31,132 adults (16,950 women (54.4%)); occupational groups: high, 7501 (24.1%); low, 15,261 (49.0%)). Increased mortality was associated with lower occupational group, more chronic conditions, and all multimorbidity measures. The joint impact of occupational group and multimorbidity on mortality was greater in men than women. All multimorbidity measures are strongly associated with mortality, with varying occupational gradients. Social differences in multimorbidity are a public health challenge and necessitate consideration in health care. Men in lower occupational groups seem to be a particularly vulnerable group. |
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institution | Directory Open Access Journal |
issn | 2077-0383 |
language | English |
last_indexed | 2024-03-10T16:49:00Z |
publishDate | 2020-08-01 |
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spelling | doaj.art-a35dbefaab1443b088b38ead008e8c062023-11-20T11:22:43ZengMDPI AGJournal of Clinical Medicine2077-03832020-08-0199275910.3390/jcm9092759Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT StudyKristin Hestmann Vinjerui0Johan H. Bjorngaard1Steinar Krokstad2Kirsty A. Douglas3Erik R. Sund4HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU–Norwegian University of Science and Technology, 7600 Levanger, NorwayFaculty of Nursing and Health Sciences, Nord University–Levanger Campus, 7601 Levanger, NorwayHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU–Norwegian University of Science and Technology, 7600 Levanger, NorwayAcademic Unit of General Practice, Australian National University Medical School, the Australian National University, Canberra 2600, Australian Capital Territory, AustraliaHUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU–Norwegian University of Science and Technology, 7600 Levanger, NorwayMultimorbidity and socioeconomic position are independently associated with mortality. We investigated the association of occupational position and several multimorbidity measures with all-cause mortality. A cohort of people aged 35 to 75 years who participated in the Trøndelag Health Study in 2006–2008 and had occupational data was linked to the Norwegian National Population Registry for all-cause mortality from study entry until 1 February 2019. Logistic regression models for each occupational group were used to analyze associations between the number of conditions and 10-year risk of death. Cox regression models were used to examine associations between combinations of multimorbidity, occupational position, and mortality. Analyses were conducted for men and women. Included were 31,132 adults (16,950 women (54.4%)); occupational groups: high, 7501 (24.1%); low, 15,261 (49.0%)). Increased mortality was associated with lower occupational group, more chronic conditions, and all multimorbidity measures. The joint impact of occupational group and multimorbidity on mortality was greater in men than women. All multimorbidity measures are strongly associated with mortality, with varying occupational gradients. Social differences in multimorbidity are a public health challenge and necessitate consideration in health care. Men in lower occupational groups seem to be a particularly vulnerable group.https://www.mdpi.com/2077-0383/9/9/2759multimorbidityfrailtysocioeconomic statusmortalityoccupationspublic health |
spellingShingle | Kristin Hestmann Vinjerui Johan H. Bjorngaard Steinar Krokstad Kirsty A. Douglas Erik R. Sund Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study Journal of Clinical Medicine multimorbidity frailty socioeconomic status mortality occupations public health |
title | Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study |
title_full | Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study |
title_fullStr | Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study |
title_full_unstemmed | Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study |
title_short | Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study |
title_sort | socioeconomic position multimorbidity and mortality in a population cohort the hunt study |
topic | multimorbidity frailty socioeconomic status mortality occupations public health |
url | https://www.mdpi.com/2077-0383/9/9/2759 |
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