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Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study

BACKGROUND: Among older people, the extent to which psychosocial factors explain socioeconomic inequalities in mortality is debated. We aimed to investigate the potential mediating effect of psychosocial factors on socioeconomic inequalities in mortality. METHODS: We used data from a prospective pop...

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Autores principales: Khalatbari-Soltani, Saman, Stanaway, Fiona, Cvejic, Erin, Blyth, Fiona M., Naganathan, Vasi, Handelsman, David J., Le Couteur, David G., Seibel, Markus J., Waite, Louise M., Cumming, Robert G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539396/
https://www.ncbi.nlm.nih.gov/pubmed/33028353
http://dx.doi.org/10.1186/s12939-020-01277-2
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author Khalatbari-Soltani, Saman
Stanaway, Fiona
Cvejic, Erin
Blyth, Fiona M.
Naganathan, Vasi
Handelsman, David J.
Le Couteur, David G.
Seibel, Markus J.
Waite, Louise M.
Cumming, Robert G.
author_facet Khalatbari-Soltani, Saman
Stanaway, Fiona
Cvejic, Erin
Blyth, Fiona M.
Naganathan, Vasi
Handelsman, David J.
Le Couteur, David G.
Seibel, Markus J.
Waite, Louise M.
Cumming, Robert G.
author_sort Khalatbari-Soltani, Saman
collection PubMed
description BACKGROUND: Among older people, the extent to which psychosocial factors explain socioeconomic inequalities in mortality is debated. We aimed to investigate the potential mediating effect of psychosocial factors on socioeconomic inequalities in mortality. METHODS: We used data from a prospective population-based cohort (the Concord Health and Ageing in Men Project; baseline recruitment in 2005–2007), in Sydney, Australia. The main outcomes were all-cause and cause-specific mortality. Socioeconomic status (SES; educational attainment, occupational position, source of income, housing tenure, and a cumulative SES score) was assessed at baseline. Measures of structural and functional social support, as well as depressive and anxiety symptoms were assessed three times during follow-ups. Associations were quantified using Cox regression. Mediation was calculated using “change-in-estimate method”. RESULTS: 1522 men (mean age at baseline: 77·4 ± 5·5 years) were included in the analyses with a mean (SD) follow-up time of 9·0 (3·6) years for all-cause and 8·0 (2·8) years for cause-specific mortality. At baseline, psychosocial measures displayed marked social patterning. Being unmarried, living alone, low social interactions, and elevated depressive symptoms were associated with higher risk of all-cause and cardiovascular disease (CVD) mortality. Psychosocial factors explained 35% of SES inequalities in all-cause mortality, 29% in CVD mortality, 12% in cancer mortality, and 39% in non-CVD, non-cancer mortality. CONCLUSION: Psychosocial factors may account for up to one-third of SES inequalities in deaths from all and specific causes (except cancer mortality). Our findings suggest that interventional studies targeting social relationships and/or psychological distress in older men aiming to reduce socioeconomic inequalities in mortality are warranted.
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spelling pubmed-75393962020-10-08 Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study Khalatbari-Soltani, Saman Stanaway, Fiona Cvejic, Erin Blyth, Fiona M. Naganathan, Vasi Handelsman, David J. Le Couteur, David G. Seibel, Markus J. Waite, Louise M. Cumming, Robert G. Int J Equity Health Research BACKGROUND: Among older people, the extent to which psychosocial factors explain socioeconomic inequalities in mortality is debated. We aimed to investigate the potential mediating effect of psychosocial factors on socioeconomic inequalities in mortality. METHODS: We used data from a prospective population-based cohort (the Concord Health and Ageing in Men Project; baseline recruitment in 2005–2007), in Sydney, Australia. The main outcomes were all-cause and cause-specific mortality. Socioeconomic status (SES; educational attainment, occupational position, source of income, housing tenure, and a cumulative SES score) was assessed at baseline. Measures of structural and functional social support, as well as depressive and anxiety symptoms were assessed three times during follow-ups. Associations were quantified using Cox regression. Mediation was calculated using “change-in-estimate method”. RESULTS: 1522 men (mean age at baseline: 77·4 ± 5·5 years) were included in the analyses with a mean (SD) follow-up time of 9·0 (3·6) years for all-cause and 8·0 (2·8) years for cause-specific mortality. At baseline, psychosocial measures displayed marked social patterning. Being unmarried, living alone, low social interactions, and elevated depressive symptoms were associated with higher risk of all-cause and cardiovascular disease (CVD) mortality. Psychosocial factors explained 35% of SES inequalities in all-cause mortality, 29% in CVD mortality, 12% in cancer mortality, and 39% in non-CVD, non-cancer mortality. CONCLUSION: Psychosocial factors may account for up to one-third of SES inequalities in deaths from all and specific causes (except cancer mortality). Our findings suggest that interventional studies targeting social relationships and/or psychological distress in older men aiming to reduce socioeconomic inequalities in mortality are warranted. BioMed Central 2020-10-07 /pmc/articles/PMC7539396/ /pubmed/33028353 http://dx.doi.org/10.1186/s12939-020-01277-2 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
Khalatbari-Soltani, Saman
Stanaway, Fiona
Cvejic, Erin
Blyth, Fiona M.
Naganathan, Vasi
Handelsman, David J.
Le Couteur, David G.
Seibel, Markus J.
Waite, Louise M.
Cumming, Robert G.
Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study
title Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study
title_full Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study
title_fullStr Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study
title_full_unstemmed Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study
title_short Contribution of psychosocial factors to socioeconomic inequalities in mortality among older Australian men: a population-based cohort study
title_sort contribution of psychosocial factors to socioeconomic inequalities in mortality among older australian men: a population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539396/
https://www.ncbi.nlm.nih.gov/pubmed/33028353
http://dx.doi.org/10.1186/s12939-020-01277-2
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