Poverty and Disability Among Indian Elderly

Pandey, Manoj Kumar

doi:10.1177/1044207311411299

Cited by 22 publications

(20 citation statements)

References 18 publications

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“…The relationship between social stratification and disability is complex and may be bidirectional as disablement has the ability to initiate or aggravate a disadvantaged [28] and being stratified to low stratum may precede disability [29]. Cross-sectionally, a direct relationship between disability and SES is frequently found [30] and evidence abounds on the gradient of disability by socioeconomic status. Although a causal relationship between social and economic disadvantage and disability are still being debated, it may be plausible that being relegated to lower social stratum more frequently affects the commencement and advancement of the disablement process than vice versa [31].…”

Section: Discussionmentioning

confidence: 99%

Disability Prevalence According to a Class, Race, and Sex (CSR) Hypothesis

Siordia

2014

J. Racial and Ethnic Health Disparities

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Disability has been shown to be related in definite ways to social class. In modern industrial societies, disability is influenced by and has the potential to contribute to the production and reproduction of social inequality. However, markers of social stratification processes are sometimes ignored determinants of health. A Class, Race, Sex (CRS) hypothesis is presented to argue that a “low-education disadvantage”; “racial-minority disadvantage”; and “female disadvantage” will compound to affect the risks for being disable. In particular, the CRS hypothesis posits that class is more important than race and the latter more than sex when predicting presence or severity of disability. The cross-sectional study of community-dwelling adults between the ages of 45 and 64 uses data from the American Community Survey (ACS) Public Use Microdata Sample (PUMS) 2008–2012 file. By using 3,429,523 individuals—which weighted equal to 61,726,420—the results of the study suggest the CRS hypothesis applies to both Non-Latino-Blacks and Non-Latino-Whites. There is a “male disadvantage” exception for Non-Latino-Whites. Decreasing between-group differences in health may be achieved by making the age-health association at lower socioeconomic stratum similar to that of the upper socioeconomic strata.

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Section: Discussionmentioning

confidence: 99%

Disability Prevalence According to a Class, Race, and Sex (CSR) Hypothesis

Siordia

2014

J. Racial and Ethnic Health Disparities

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“…Even more so, the risk of poverty is significantly more unmistakable among elderly women than elderly men. The adversity that women encounter as they age is underpinned by the lack of economic security and ability to earn (Pandey, 2012). According to Justice in Aging (2018) the pervasive effects of widening gender gaps in both access to employment and equality in as far as remuneration is concerned, combined with societal standards that place women as prime caregivers in several households often result in more women aging into poverty.…”

Section: Poverty Among the Elderlymentioning

confidence: 99%

Analysis of Poverty Among the Elderly in South Africa Using the 2018 GHS Data

Mncayi¹,

Dunga²

2019

Proceedings of the 52nd International Academic Conference, Barcelona

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The different approaches to poverty reduction will only be effective if no category of people is left behind or miss diagnosed. There has been attention on gendered poverty, poverty among the youth, and fewer studies have focused on poverty among the elderly. The seniors face a different kind of poverty that is due to the dynamics that comes with age. As people get older their ability to participate in a productive capacity declines and that reduced their ability to earn or maintain the level of income earned in their productive age. There is need to understand the nature of poverty and which categories within the age group are more vulnerable. Using data collected in 2018 by statistics South Africa, this paper analyses the nature of poverty among the elderly (>60 years old). Focus will be on the individual and household characteristics that determine the poverty status. The paper use both descriptive statistics and a logistic regression in the analysis on poverty among the elderly.

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“…This result may be due, in part, to the mutually causal nature of low wealth status and mental disability, which is consistent with previous studies [ 10 , 11 ]. Because people who were economically disadvantaged suffered from malnutrition and a lack of adequate access to health services, including maternal care and trauma services [ 19 ], they were more likely to suffer from disabilities, which further enhanced their exclusion and marginalization by reducing their opportunities to contribute productively to their households and communities, which in turn increased their risk of the lowest income [ 19 ]. Interestingly, we also observed that mild mental disability was positively associated with wealth.…”

Section: Discussionmentioning

confidence: 99%

Wealth Inequality and Mental Disability Among the Chinese Population: A Population Based Study

Wang

Pang

et al. 2015

IJERPH

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In the study described herein, we investigated and explored the association between wealth inequality and the risk of mental disability in the Chinese population. We used nationally represented, population-based data from the second China National Sample Survey on Disability, conducted in 2006. A total of 1,724,398 study subjects between the ages of 15 and 64, including 10,095 subjects with mental disability only, were used for the analysis. Wealth status was estimated by a wealth index that was derived from a principal component analysis of 10 household assets and four other variables related to wealth. Logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence interval (CI) for mental disability for each category, with the lowest quintile category as the referent. Confounding variables under consideration were age, gender, residence area, marital status, ethnicity, education, current employment status, household size, house type, homeownership and living arrangement. The distribution of various types and severities of mental disability differed significantly by wealth index category in the present population. Wealth index category had a positive association with mild mental disability (p for trend <0.01), but had a negative association with extremely severe mental disability (p for trend <0.01). Moreover, wealth index category had a significant, inverse association with mental disability when all severities of mental disability were taken into consideration. This study’s results suggest that wealth is a significant factor in the distribution of mental disability and it might have different influences on various types and severities of mental disability.

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Poverty and Disability Among Indian Elderly

Cited by 22 publications

References 18 publications

Disability Prevalence According to a Class, Race, and Sex (CSR) Hypothesis

Disability Prevalence According to a Class, Race, and Sex (CSR) Hypothesis

Analysis of Poverty Among the Elderly in South Africa Using the 2018 GHS Data

Wealth Inequality and Mental Disability Among the Chinese Population: A Population Based Study

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