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Health inequalities in very old age: Continuity, accumulation or convergence?

BACKGROUND: Health inequalities are well documented empirically. However, it is unclear whether health inequalities persist in very old age (continuity), whether they accumulate steadily (accumulation), or whether they even attenuate in old age (convergence) - not least because of social inequalitie...

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Autores principales: Wenner, J, Fey, J, Zank, S, Wagner, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593772/
http://dx.doi.org/10.1093/eurpub/ckac129.032
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author Wenner, J
Fey, J
Zank, S
Wagner, M
author_facet Wenner, J
Fey, J
Zank, S
Wagner, M
author_sort Wenner, J
collection PubMed
description BACKGROUND: Health inequalities are well documented empirically. However, it is unclear whether health inequalities persist in very old age (continuity), whether they accumulate steadily (accumulation), or whether they even attenuate in old age (convergence) - not least because of social inequalities in life expectancy, which make it less likely for individuals with lower social status to reach old age at all. The aim of this study is to empirically test these three hypotheses. METHODS: The analyses are based on representative cross-sectional data from 1,863 very old people and panel data from 912 participants in the 1st and 2nd wave (W1, W2) living in North Rhine-Westphalia the largest federal state in Germany (NRW80+ study). Health outcomes of the analyses are subjective health, multimorbidity and need for long-term care. Indicators of socioeconomic status (SES) are education, occupational status, and net equivalent income. Regression models (linear, logistic, ordinal) are used to analyze cross-sectional and longitudinal data. Panel selectivity is also considered by means of a failure model. RESULTS: Cross-sectional findings show health inequalities for all SES variables: persons with low education and low income have poorer subjective health and higher need for care. Low status is associated with higher need for care. Preliminary results from longitudinal analyses show a slight increase in health inequality: low income and low status are associated with higher multimorbidity and low education with higher dependency on long-term care at W2. CONCLUSIONS: Despite the socially conditioned unequal chances of reaching old age, health inequality is still present in very old age and even increases slightly over time. The results argue against the convergence hypothesis and in favor of the continuity or even the accumulation hypothesis. A better understanding of the mechanisms leading to the persistent inequality is needed to development targeted interventions also in old age. KEY MESSAGES: • Health inequalities persist and even increase in very old age (80+). • It is imperative that the oldest old – an increasingly large population group – be considered when designing strategies to reduce health inequalities.
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spelling pubmed-95937722022-11-22 Health inequalities in very old age: Continuity, accumulation or convergence? Wenner, J Fey, J Zank, S Wagner, M Eur J Public Health Parallel Programme BACKGROUND: Health inequalities are well documented empirically. However, it is unclear whether health inequalities persist in very old age (continuity), whether they accumulate steadily (accumulation), or whether they even attenuate in old age (convergence) - not least because of social inequalities in life expectancy, which make it less likely for individuals with lower social status to reach old age at all. The aim of this study is to empirically test these three hypotheses. METHODS: The analyses are based on representative cross-sectional data from 1,863 very old people and panel data from 912 participants in the 1st and 2nd wave (W1, W2) living in North Rhine-Westphalia the largest federal state in Germany (NRW80+ study). Health outcomes of the analyses are subjective health, multimorbidity and need for long-term care. Indicators of socioeconomic status (SES) are education, occupational status, and net equivalent income. Regression models (linear, logistic, ordinal) are used to analyze cross-sectional and longitudinal data. Panel selectivity is also considered by means of a failure model. RESULTS: Cross-sectional findings show health inequalities for all SES variables: persons with low education and low income have poorer subjective health and higher need for care. Low status is associated with higher need for care. Preliminary results from longitudinal analyses show a slight increase in health inequality: low income and low status are associated with higher multimorbidity and low education with higher dependency on long-term care at W2. CONCLUSIONS: Despite the socially conditioned unequal chances of reaching old age, health inequality is still present in very old age and even increases slightly over time. The results argue against the convergence hypothesis and in favor of the continuity or even the accumulation hypothesis. A better understanding of the mechanisms leading to the persistent inequality is needed to development targeted interventions also in old age. KEY MESSAGES: • Health inequalities persist and even increase in very old age (80+). • It is imperative that the oldest old – an increasingly large population group – be considered when designing strategies to reduce health inequalities. Oxford University Press 2022-10-25 /pmc/articles/PMC9593772/ http://dx.doi.org/10.1093/eurpub/ckac129.032 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Parallel Programme
Wenner, J
Fey, J
Zank, S
Wagner, M
Health inequalities in very old age: Continuity, accumulation or convergence?
title Health inequalities in very old age: Continuity, accumulation or convergence?
title_full Health inequalities in very old age: Continuity, accumulation or convergence?
title_fullStr Health inequalities in very old age: Continuity, accumulation or convergence?
title_full_unstemmed Health inequalities in very old age: Continuity, accumulation or convergence?
title_short Health inequalities in very old age: Continuity, accumulation or convergence?
title_sort health inequalities in very old age: continuity, accumulation or convergence?
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593772/
http://dx.doi.org/10.1093/eurpub/ckac129.032
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