2022
DOI: 10.1111/jrh.12650
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Rural depopulation and the rural‐urban gap in cognitive functioning among older adults

Abstract: Purpose:As the population ages, the number of people with cognitive impairment will rapidly increase. Although previous research has explored the rural-urban gap in physical health, few studies have analyzed cognitive health. The purpose of this study was to examine rural-urban differences in cognitive health, with a focus on the moderating effect of population decline. Methods: The study used individual-level nationally representative data from the 2000-2016 waves of the Health and Retirement Study (N = 152,4… Show more

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Cited by 24 publications
(20 citation statements)
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“…To the extent that personality and well‐being changes are rooted in universal, developmental milestones common to all humans, as is suggested by biological and social role models of psychological development (e.g., Atherton et al, 2020), then the null effects of rurality–urbanicity on personality and well‐being change may not be all that surprising. Relatedly, although the effects of rurality–urbanicity on personality and well‐being change may be null, prior work has shown evidence for the opposite pathway: personality traits and well‐being needs predict where people migrate to (see Ciani & Capiluppi, 2011; Glauber, 2022; Hoogerbrugge & Burger, 2022; Jokela, 2020; Yoshino & Oshio, 2022). This pattern of findings highlights an important delineation of socialization (rurality–urbanicity → personality/well‐being) and selective migration effects (personality/well‐being → living in rural or urban place) that are worth attending to when interpreting the complex and dynamic associations among macro‐level contexts and personality traits and well‐being (see Götz et al, 2021 for an example).…”
Section: Discussionmentioning
confidence: 99%
“…To the extent that personality and well‐being changes are rooted in universal, developmental milestones common to all humans, as is suggested by biological and social role models of psychological development (e.g., Atherton et al, 2020), then the null effects of rurality–urbanicity on personality and well‐being change may not be all that surprising. Relatedly, although the effects of rurality–urbanicity on personality and well‐being change may be null, prior work has shown evidence for the opposite pathway: personality traits and well‐being needs predict where people migrate to (see Ciani & Capiluppi, 2011; Glauber, 2022; Hoogerbrugge & Burger, 2022; Jokela, 2020; Yoshino & Oshio, 2022). This pattern of findings highlights an important delineation of socialization (rurality–urbanicity → personality/well‐being) and selective migration effects (personality/well‐being → living in rural or urban place) that are worth attending to when interpreting the complex and dynamic associations among macro‐level contexts and personality traits and well‐being (see Götz et al, 2021 for an example).…”
Section: Discussionmentioning
confidence: 99%
“…In other words, rural women are more likely to continue working as long as their health allows until their health deteriorates (15). This phenomenon is common in China, but this idea often leads rural women with health problems to remain in the labor market and thus experience health deterioration, exacerbating urban-rural health inequalities (51). Given the gap between rural and urban areas, the government should provide appropriate assistance to middle-aged and older women who continue to work in agriculture due to economic factors and improve social welfare policies for middle-aged and older rural women to narrow the health gap between urban and rural women.…”
Section: Discussionmentioning
confidence: 99%
“…This finding is in line with other studies examining rural–urban differences. 6 , 24 Future research should further interrogate these patterns, as this somewhat crude three‐category measure of the rural–urban continuum may downplay what are larger differences across dense, large metropolitan areas compared to sparsely populated rural areas.…”
Section: Discussionmentioning
confidence: 99%