Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.

<h4>Aim</h4>This study aimed to identify differences in physical performance across various socioeconomic groups within an older population and to convert those differences into a common metric to facilitate comparisons of aging speed across socioeconomic subgroups.<h4>Methods</...

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Main Authors: Wiraporn Pothisiri, Orawan Prasitsiriphon, Wichai Aekplakorn
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0243081
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spelling doaj-23e11ba323d84700992df508d87e92132021-03-04T12:47:08ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011512e024308110.1371/journal.pone.0243081Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.Wiraporn PothisiriOrawan PrasitsiriphonWichai Aekplakorn<h4>Aim</h4>This study aimed to identify differences in physical performance across various socioeconomic groups within an older population and to convert those differences into a common metric to facilitate comparisons of aging speed across socioeconomic subgroups.<h4>Methods</h4>We employed data from the 2009 National Health Examination Survey of Thailand. Physical performance was assessed using three health characteristics: grip strength, as a measure of upper body strength; walking speed, as a measure of lower body strength; and a combined measure of grip strength and walking speed, to capture the strength of the whole body. Education level and income were used to distinguish socioeconomic subpopulations. We followed a characteristic-based age approach to transform these population characteristics, which were measured in different units, into a common and comparable aging metric, referred to as α - age.<h4>Results</h4>Physical aging trajectories varied by sex and socioeconomic status. Some education, particularly secondary or higher education levels, was significantly associated with greater physical strength in older age for both men and women, whereas higher income was significantly associated with physical strength only for men. Across the three health characteristics, having a primary education slowed age-related declines by up to 6.3 years among men and 2.8 years among women, whereas being in a higher income group slowed age-related declines by 8.2 years among men and up to 4.9 years among women.<h4>Conclusions</h4>This study adds new evidence from a developing Asian country regarding the difference in aging speeds across subpopulations associated with different levels of education and income.https://doi.org/10.1371/journal.pone.0243081
collection DOAJ
language English
format Article
sources DOAJ
author Wiraporn Pothisiri
Orawan Prasitsiriphon
Wichai Aekplakorn
spellingShingle Wiraporn Pothisiri
Orawan Prasitsiriphon
Wichai Aekplakorn
Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.
PLoS ONE
author_facet Wiraporn Pothisiri
Orawan Prasitsiriphon
Wichai Aekplakorn
author_sort Wiraporn Pothisiri
title Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.
title_short Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.
title_full Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.
title_fullStr Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.
title_full_unstemmed Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.
title_sort extent of aging across education and income subgroups in thailand: application of a characteristic-based age approach.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description <h4>Aim</h4>This study aimed to identify differences in physical performance across various socioeconomic groups within an older population and to convert those differences into a common metric to facilitate comparisons of aging speed across socioeconomic subgroups.<h4>Methods</h4>We employed data from the 2009 National Health Examination Survey of Thailand. Physical performance was assessed using three health characteristics: grip strength, as a measure of upper body strength; walking speed, as a measure of lower body strength; and a combined measure of grip strength and walking speed, to capture the strength of the whole body. Education level and income were used to distinguish socioeconomic subpopulations. We followed a characteristic-based age approach to transform these population characteristics, which were measured in different units, into a common and comparable aging metric, referred to as α - age.<h4>Results</h4>Physical aging trajectories varied by sex and socioeconomic status. Some education, particularly secondary or higher education levels, was significantly associated with greater physical strength in older age for both men and women, whereas higher income was significantly associated with physical strength only for men. Across the three health characteristics, having a primary education slowed age-related declines by up to 6.3 years among men and 2.8 years among women, whereas being in a higher income group slowed age-related declines by 8.2 years among men and up to 4.9 years among women.<h4>Conclusions</h4>This study adds new evidence from a developing Asian country regarding the difference in aging speeds across subpopulations associated with different levels of education and income.
url https://doi.org/10.1371/journal.pone.0243081
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AT orawanprasitsiriphon extentofagingacrosseducationandincomesubgroupsinthailandapplicationofacharacteristicbasedageapproach
AT wichaiaekplakorn extentofagingacrosseducationandincomesubgroupsinthailandapplicationofacharacteristicbasedageapproach
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