How “Dependent” Are We? A Spatiotemporal Analysis of the Young and the Older Adult Populations in the US

Gupta, Debasree Das; Wong, David W. S.

doi:10.1007/s11113-020-09590-y

Cited by 2 publications

(3 citation statements)

References 49 publications

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“…Another methodological concern in Winkler’s study is the use of 60 years as the cut-off age to define older adults. This age is not consistent with the existing convention in the literature to define older adults (Das Gupta & Wong, 2020). In addition, the study considered only a subgroup of the younger adults (20- to 34-year-olds), excluding a large proportion of adults, children, and youth populations in assessing age segregation.…”

Section: Introductioncontrasting

confidence: 85%

“…We then aggregated these population estimates into the three conventional age categories of youth (0-14), adult (15-64), and older adult (65 and over). These three age categories are compatible with the conventional definition of the dependency ratio applied in the field of demography and population research (Jahan et al, 2014;Lau & Tsui, 2017;Sanderson & Scherbov, 2015;Das Gupta & Wong, 2020). Data for the additional variables we considered in our study also come from NHGIS.…”

Section: Methodsmentioning

confidence: 67%

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Changing Age Segregation in the US: 1990 to 2010

Gupta

Wong

2022

Res Aging

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Age segregation adversely impacts health and wellbeing. Prior studies, although limited, report increasing age segregation of the US. However, these studies are dated, do not comprehensively examine the spatiotemporal patterns and the correlates of intergenerational segregation, or suffer from methodological limitations. To address these gaps, we assess the spatiotemporal patterns of age segregation between 1990 and 2010 using census-tract data to compute the dissimilarity index ( D) at the national, state, and county levels. Results contradict previous findings, providing robust evidence of decreasing age segregation for most parts of the country and across geographical levels. We also examine factors explaining adult-older adult segregation across counties between 1990 and 2010. Higher levels of rurality indicated lower levels of adult-older adult segregation, but this association diminished over time. Percent of older adults and percent of population in group quarters were inversely related to adult-older adult segregation, contrary to results from previous decades.

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Section: Introductioncontrasting

confidence: 85%

Section: Methodsmentioning

confidence: 67%

Changing Age Segregation in the US: 1990 to 2010

Gupta

Wong

2022

Res Aging

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“…Social isolation is closely linked to depression and falls in late life and are common among seniors ( Cudjoe et al, 2020 , Durbin et al, 2016 , Deandrea et al, 2010 , Fiske et al, 2009 ; Freedman and Nicolle, 2020 , Hayashi et al, 2020 ; Health Resources and Services Administration, 2019 , Petersen et al, 2020 , Quach and Burr, 2020 ). All three conditions are critical public health concerns ( Fiske et al, 2009 , People, 2020 , Kelsey et al, 2012 , Academies and of Sciences, Engineering, and Medicine (NAS), 2020 , Satcher and Druss, 2010 ) given the progressive aging of populations across the US ( Das Gupta and Wong, 2020b ).…”

Section: Introductionmentioning

confidence: 99%

Associations between living alone, depression, and falls among community-dwelling older adults in the US

Gupta

Kelekar

Rice

2020

Preventive Medicine Reports

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Social isolation is closely linked to depression and falls in late life and are common among seniors. Although the literature has highlighted age-related variations in these three geriatric conditions, evidence on heterogeneities across older adult age categories is lacking. To address this gap, we present cross-sectional analyses using indicators of social isolation, depression, and falls of older adults constructed from the most recent Behavioral Risk Factor Surveillance System (BRFSS) data. An age-based understanding is critical to improve health interventions since health changes occur at a faster rate among seniors than in any other population subgroup. We included all adults 60 years and older (n = 113,233) in the 2018 BRFSS landline dataset and used the status of living alone, depressive disorder diagnosis, and fall incidences reported by these seniors to respectively create the social isolation, depression, and fall indicators. We conducted multivariable logistic regressions to compare findings on these indicators across the three age categories of 60–69, 70–79, and 80 and above after adjusting for a common set of covariates. Results indicate that the likelihood of seniors living alone and reporting depression is the highest among those 80 years and above. Conversely, the odds of depressed seniors reporting falls is the greatest among the 60–69 year olds. Accordingly, we highlight key implications for targeted health promotion and care delivery to seniors.

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How “Dependent” Are We? A Spatiotemporal Analysis of the Young and the Older Adult Populations in the US

Cited by 2 publications

References 49 publications

Changing Age Segregation in the US: 1990 to 2010

Changing Age Segregation in the US: 1990 to 2010

Associations between living alone, depression, and falls among community-dwelling older adults in the US

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