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Determinants and health outcomes of trajectories of social mobility in Australia

OBJECTIVES: To investigate trajectories in socio-economic position (SEP) and the onset of a range of physical and mental health outcomes and commencement of treatment. METHODS: The Household Income and Labour Dynamics Australia (HILDA) study, a nationally representative prospective cohort study over...

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Autores principales: Dronavalli, Mithilesh, Page, Andrew, Sperandei, Sandro, Uribe, Gabriela, Huckel Schneider, Carmen, Eastwood, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843487/
https://www.ncbi.nlm.nih.gov/pubmed/36660174
http://dx.doi.org/10.1016/j.ssmph.2023.101336
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author Dronavalli, Mithilesh
Page, Andrew
Sperandei, Sandro
Uribe, Gabriela
Huckel Schneider, Carmen
Eastwood, John
author_facet Dronavalli, Mithilesh
Page, Andrew
Sperandei, Sandro
Uribe, Gabriela
Huckel Schneider, Carmen
Eastwood, John
author_sort Dronavalli, Mithilesh
collection PubMed
description OBJECTIVES: To investigate trajectories in socio-economic position (SEP) and the onset of a range of physical and mental health outcomes and commencement of treatment. METHODS: The Household Income and Labour Dynamics Australia (HILDA) study, a nationally representative prospective cohort study over the period 2001 to 2020 was used to define trajectories of SEP. Trajectories of low, low-middle, upper-middle and high SEP and decreasing (low-middle to upper-middle SEP) or increasing (upper-middle to lower-middle SEP) SEP were identified using k-longitudinal means. Cox-regression was used to assess SEP trajectories and physical (arthritis or osteoporosis, any cancer, asthma, chronic bronchitis or emphysema, Type 1 diabetes, Type 2 diabetes, hypertension or high blood pressure, and coronary heart disease), and mental health (depression or anxiety) outcomes, and treatment commencement. Predictors of SEP trajectories were also investigated using multinomial logistic regression and random forests. RESULTS: Decreasing SEP had a higher relative risk of new onset illness than increasing SEP for all health outcomes. Increasing SEP had relative risk estimates that were more consistent with upper-middle income groups and decreasing SEP had a relative risk consistent with lower-middle income groups. In contrast, there was no socio-economic gradient in treatment commencement for physical health outcomes, or depression or anxiety, with the exception of arthritis or osteoporosis. CONCLUSION: Decreasing SEP was associated with poor health outcomes, and increasing SEP with better health outcomes. A range of socio-demographic and psychosocial determinants of SEP trajectories were identified to inform policy responses that could modify trajectories of health inequalities in the Australian context.
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spelling pubmed-98434872023-01-18 Determinants and health outcomes of trajectories of social mobility in Australia Dronavalli, Mithilesh Page, Andrew Sperandei, Sandro Uribe, Gabriela Huckel Schneider, Carmen Eastwood, John SSM Popul Health Regular Article OBJECTIVES: To investigate trajectories in socio-economic position (SEP) and the onset of a range of physical and mental health outcomes and commencement of treatment. METHODS: The Household Income and Labour Dynamics Australia (HILDA) study, a nationally representative prospective cohort study over the period 2001 to 2020 was used to define trajectories of SEP. Trajectories of low, low-middle, upper-middle and high SEP and decreasing (low-middle to upper-middle SEP) or increasing (upper-middle to lower-middle SEP) SEP were identified using k-longitudinal means. Cox-regression was used to assess SEP trajectories and physical (arthritis or osteoporosis, any cancer, asthma, chronic bronchitis or emphysema, Type 1 diabetes, Type 2 diabetes, hypertension or high blood pressure, and coronary heart disease), and mental health (depression or anxiety) outcomes, and treatment commencement. Predictors of SEP trajectories were also investigated using multinomial logistic regression and random forests. RESULTS: Decreasing SEP had a higher relative risk of new onset illness than increasing SEP for all health outcomes. Increasing SEP had relative risk estimates that were more consistent with upper-middle income groups and decreasing SEP had a relative risk consistent with lower-middle income groups. In contrast, there was no socio-economic gradient in treatment commencement for physical health outcomes, or depression or anxiety, with the exception of arthritis or osteoporosis. CONCLUSION: Decreasing SEP was associated with poor health outcomes, and increasing SEP with better health outcomes. A range of socio-demographic and psychosocial determinants of SEP trajectories were identified to inform policy responses that could modify trajectories of health inequalities in the Australian context. Elsevier 2023-01-05 /pmc/articles/PMC9843487/ /pubmed/36660174 http://dx.doi.org/10.1016/j.ssmph.2023.101336 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Dronavalli, Mithilesh
Page, Andrew
Sperandei, Sandro
Uribe, Gabriela
Huckel Schneider, Carmen
Eastwood, John
Determinants and health outcomes of trajectories of social mobility in Australia
title Determinants and health outcomes of trajectories of social mobility in Australia
title_full Determinants and health outcomes of trajectories of social mobility in Australia
title_fullStr Determinants and health outcomes of trajectories of social mobility in Australia
title_full_unstemmed Determinants and health outcomes of trajectories of social mobility in Australia
title_short Determinants and health outcomes of trajectories of social mobility in Australia
title_sort determinants and health outcomes of trajectories of social mobility in australia
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843487/
https://www.ncbi.nlm.nih.gov/pubmed/36660174
http://dx.doi.org/10.1016/j.ssmph.2023.101336
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