Socioeconomic Status, Comorbidity, Activity Limitation, and Healthy Life Expectancy in Older Men and Women

Yang, Suwen; Hoshi, Tanji; Wang, Shuo; Nakayama, Naoko; Kong, Fanlei

doi:10.1177/0733464813503041

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…Compared to people from poor households, people from middle income and rich households reported suffering lower functional disability, but higher disability in self-care in the current study. In developed countries as well as developing countries including Bangladesh, people from higher socioeconomic status experience less disability [12, 20, 26, 34, 53–56]. The short set of WG’s questions on disability had been previously combined in a study on Bangladesh [12], but for this research were grouped into two categories- functional and self-care disability.…”

Section: Discussionmentioning

confidence: 99%

Gender differences in functional disability and self-care among seniors in Bangladesh

et al. 2017

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BackgroundDisability among older adults is a public health concern. To date there are no in-depth and comprehensive analyses on older adults’ disabilities in Bangladesh. This study investigated gender differences in the prevalence of disability and the socio-demographic factors associated with disability among older adults in Bangladesh.MethodsThis research used a sample of 4176 elderly males and females aged 60 years and over from a nationally representative data set- Bangladesh’s 2010 Household Income and Expenditure Survey. The study used both household level and individual level data and applied a wealth index, which was constructed based on household assets using principal component analysis. The Washington Group’s short set of questions on disability were used to measure disability. Chi-square tests and ordinal logistic regression models were fit.ResultsForty-two percent of older had some form of functional disability, including 5% of elderly with severe/extreme functional disability. Seven percent of older adults had a self-care disability, including 3% of elderly with a severe/extreme form of self-care disability. Elderly females suffered from all the studied disabilities, including functional and self-care disabilities in higher percentages, and had higher odds ratios of having both functional disability and self-care disability compared to elderly males. The study also identified some significant factors affecting functional disability and self-care disability, namely age, having a chronic condition, wealth status and place of residence, including divisional differences.ConclusionsPrograms aimed at reducing functional disability among seniors, particularly elderly females, should be granted the highest priority in Bangladesh.Electronic supplementary materialThe online version of this article (doi:10.1186/s12877-017-0577-2) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Gender differences in functional disability and self-care among seniors in Bangladesh

et al. 2017

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“…Comorbidities are also associated with functional decline. 25 Comorbidities of particular interest include arthritis, hypertension, heart disease, 33 obesity, 34 liver disease, 35 stroke, and chronic obstructive lung disease. 36 …”

Section: Introductionmentioning

confidence: 99%

Relationship between engagement and level of functional status in older adults

Dombrowsky

2017

SAGE Open Medicine

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Functional status is an important component of quality of life for older adults and for their caregivers. Factors associated with level of functional status include age, comorbidity, cognitive status, depression, social support, and activity. Of the types of activity linked with functional status, the strongest evidence is for physical exercise, with weaker evidence for social and productive activity. Engagement is a construct including motivation, commitment, and participation.Objective:The objective of this study was to determine whether or not engagement is associated with level of functional status after controlling for age, comorbidity, and depression among older adults.Methods:In all, 92 older adults were recruited from senior living centers and a university-based senior exercise group. The main independent variable was engagement. Other independent variables were age, comorbidity, and depression. The dependent variable was level of functional status. Two different measures of level of functional status were used: the Katz Activities of Daily Living Index and the Lawton–Brody Instrumental Activities of Daily Living Scale.Results:Engagement was a significant predictor of Lawton–Brody Instrumental Activities of Daily Living Scale level of function in the Lawton–Brody model (odds ratio: 1.147 (1.011–1.302)) and age was a significant negative predictor (odds ratio: 0.838 (0.769–0.914)). There were no significant predictors in the Katz model.Conclusion:Engagement is a significant predictor of perfect Lawton–Brody Instrumental Activities of Daily Living Scale score after controlling for age, comorbidity, and depression. Health-care professionals should consider including engagement in their assessment of older clients, whether using formal instruments such as the Engagement with Meaningful Activity Survey or assessing informally.

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“…Generally, older women have less education achievement and less earned income than older men (McLaughlin et al, 2010;Yang, Hoshi, Wang, Nakayama, & Kong, 2013). Low socioeconomic status is one of the significant predictors of poor health in old age.…”

Section: Introductionmentioning

confidence: 99%

“…Low socioeconomic status is one of the significant predictors of poor health in old age. Also older women are likely to have more chronic diseases and experience more physical function limitations than older men despite women's longer lives (McLaughlin et al, 2010;Yang et al, 2013). Therefore, women are less likely to age successfully (Pruchno et al, 2010) or may experience different pathways to successful aging.…”

Section: Introductionmentioning

confidence: 99%

Successful Aging: Multiple Trajectories and Population Heterogeneity

Tang¹

2014

International Journal of Social Science Studies

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Following Rowe and Kahn's successful aging model, this study identified successful aging as a distinctive aging trajectory and examined gender differences in the aging process. Using the Health and Retirement Study data (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008), this study applied group-based trajectory analysis to identify multiple aging trajectories in a sample of older Americans aged 65 and over (N=9,226). Six dimensions were analyzed in the multi-trajectory model: chronic disease, physical functional limitation, disability, depressive symptom, cognitive functioning, and active engagement with life. Three aging trajectory groups were identified: successful aging, usual aging, and pathological aging in both samples of men and women. About one third of women and 40 percent of men fell into the successful aging trajectory. Women were more likely than men to experience functional limitations and disability over time, thus less likely to age successfully. Younger age and higher levels of education and income were related to the likelihood of successful aging. Findings provide support for a multidimensional model of successful aging that emphasizes the heterogeneity in physical, cognitive, and social functioning among the older population. Future research need incorporate subjective assessments of successful aging, examine the potential transitions among different aging trajectories, and assess the impacts of health behavior and resource variables on the aging outcomes.

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Socioeconomic Status, Comorbidity, Activity Limitation, and Healthy Life Expectancy in Older Men and Women

Cited by 7 publications

References 23 publications

Gender differences in functional disability and self-care among seniors in Bangladesh

Gender differences in functional disability and self-care among seniors in Bangladesh

Relationship between engagement and level of functional status in older adults

Successful Aging: Multiple Trajectories and Population Heterogeneity

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