Changes in perceived uselessness and risks for mortality: evidence from a National sample of older adults in China

Zhao, Yuan; Dupre, Matthew E.; Qiu, Li; Gu, Danan

doi:10.1186/s12889-017-4479-1

Cited by 20 publications

(14 citation statements)

References 36 publications

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“…For example, older adults with greater economic resources are less likely to suffer from financial strains and associated stressors [47]. Relatedly, older adults with higher SES also tend to be more optimistic and have positive attitudes, views, expectations, and perceptions toward their future; and likewise, have more opportunities for involvement in social activities [40]. Finally, people with higher SES are more likely to be aware of and afford healthier diets and lifestyles [45,48].…”

Section: Discussionmentioning

confidence: 99%

“…Following the BPS framework and previous research in the field of health disparities, we examined a wide range of factors associated with urban-rural disparity in mortality [8,17,40,42,43]. Demographic characteristics included chronological age (in years), gender, and ethnicity (Han vs. non-Han).…”

Section: Factors Associated With the Urban-rural Disparity In Mortalitymentioning

confidence: 99%

“…Each activity was measured on a five-point Likert scale (from never to almost daily) and the scores were summed. Following previous research, respondents were grouped into three levels of participation: low level (never involved in these activities), high level (involved 1-7 times per week in at least one activity), and intermediate level (the remaining respondents) [40].…”

Section: Factors Associated With the Urban-rural Disparity In Mortalitymentioning

confidence: 99%

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Individual-level factors attributable to urban-rural disparity in mortality among older adults in China

Zhao

Dupre

et al. 2020

BMC Public Health

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Background Urban-rural disparity in mortality at older ages is well documented in China. However, surprisingly few studies have systemically investigated factors that contribute to such disparity. This study examined the extent to which individual-level socioeconomic conditions, family/social support, health behaviors, and baseline health status contributed to the urban-rural difference in mortality among older adults in China. Methods This research used the five waves of the Chinese Longitudinal Healthy Longevity Survey from 2002 to 2014, a nationally representative sample of older adults aged 65 years or older in China (n = 28,235). A series of hazard regression models by gender and age group examined the association between urban-rural residence and mortality and how this association was modified by a wide range of individual-level factors. Results Older adults in urban areas had 11% (relative hazard ratio (HR) = 0.89, p < 0.01) lower risks of mortality than their rural counterparts when only demographic factors were taken into account. Further adjustments for family/social support, health behaviors, and health-related factors individually or jointly had a limited influence on the mortality differential between urban and rural older adults (HRs = 0.89–0.92, p < 0.05 to p < 0.01). However, we found no urban-rural difference in mortality (HR = 0.97, p > 0.10) after adjusting for individual socioeconomic factors. Similar results were found in women and men, and among the young-old and the oldest-old populations. Conclusions The urban-rural disparity in mortality among older adults in China was largely attributable to differences in individual socioeconomic resources (i.e., education, income, and access to healthcare) regardless of gender and age group.

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Section: Discussionmentioning

confidence: 99%

Section: Factors Associated With the Urban-rural Disparity In Mortalitymentioning

confidence: 99%

Section: Factors Associated With the Urban-rural Disparity In Mortalitymentioning

confidence: 99%

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Individual-level factors attributable to urban-rural disparity in mortality among older adults in China

Zhao

Dupre

et al. 2020

BMC Public Health

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“…To illustrate, ageism consistently impacted the ultimate endpoint-reduced longevity: all 10 studies found ageism predicted a shorter lifespan in Australia, China, Germany, and the United States [56][57][58][59][60][61][62][63][64][65]. In one study, using nationally representative data in China, researchers found that older persons with more negative self-perceptions of aging had significantly reduced longevity [62]. In the poor-quality-of-life domain, all of the 29 studies and 93.9% of the 45 associations found evidence of ageism.…”

Section: Impact Of Ageism On Health Of Older Persons: Individual Levelmentioning

confidence: 99%

Global reach of ageism on older persons’ health: A systematic review

et al. 2020

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Objective Although there is anecdotal evidence of ageism occurring at both the structural level (in which societal institutions reinforce systematic bias against older persons) and individual level (in which older persons take in the negative views of aging of their culture), previous systematic reviews have not examined how both levels simultaneously influence health. Thus, the impact of ageism may be underestimated. We hypothesized that a comprehensive systematic review would reveal that these ageism levels adversely impact the health of older persons across geography, health outcomes, and time. Method A literature search was performed using 14 databases with no restrictions on region, language, and publication type. The systematic search yielded 13,691 papers for screening, 638 for full review, and 422 studies for analyses. Sensitivity analyses that adjusted for sample size and study quality were conducted using standardized tools. The study protocol is registered (PROSPERO CRD42018090857). Results Ageism led to significantly worse health outcomes in 95.5% of the studies and 74.0% of the 1,159 ageism-health associations examined. The studies reported ageism effects in all 45 countries, 11 health domains, and 25 years studied, with the prevalence of significant findings increasing over time (p < .0001). A greater prevalence of significant ageism-health findings was found in less-developed countries than more-developed countries (p = .0002). Older persons who were less educated were particularly likely to experience adverse health effects of ageism. Evidence of ageism was found across the age, sex, and race/ethnicity of the targeters (i.e., persons perpetrating ageism).

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“…As far as studies on health status of Chinese elders, abundant analyses have documented a strong link between health behaviors and health outcomes among Chinese older adults [13][14][15][16]. Nevertheless, as studies focusing on other social contexts, most research on Chinese oldest-old also focused on single health behaviors.…”

Section: Introductionmentioning

confidence: 99%

Health Lifestyles and Their Influence on Chinese Oldest-old’s Health Outcomes —Evidence From a Latent Class Analysis

Zhang

Ding

2020

Preprint

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BackgroundA strong association between individual health behaviors and health outcomes has been emphasized by previous analyses. However, how individual health behaviors can be classified into health lifestyles and the manner in which health lifestyles have impacted Chinese oldest-old’s health status are largely unknown.MethodsAnalyzing the 2014 Chinese Longitudinal Healthy Longevity Survey (CLHLS), latent class analysis was applied to identify predominant health lifestyles among Chinese oldest-old aged 85 to 105.ResultsFour distinct classes representing health lifestyles emerged. Health lifestyles were found to be strongly associated with Chinese oldest-old’s health outcomes which were measured by self-rated health, functional independence, cognitive function and chronic diseases, even after controlling for demographic features as well as individual and parental socioeconomic disadvantage. Findings also showed a convergence of health disparities caused by demographic and SES characteristics in very old age.ConclusionsChinese oldest-old showed four predominant health lifestyles with only 21.9% of the sample had consistently healthy lifestyle behaviors. The significant influence of health lifestyles on health remained after age 85, .highlighting the importance of promoting health lifestyles to advance the oldest-old’s health status.

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Changes in perceived uselessness and risks for mortality: evidence from a National sample of older adults in China

Cited by 20 publications

References 36 publications

Individual-level factors attributable to urban-rural disparity in mortality among older adults in China

Individual-level factors attributable to urban-rural disparity in mortality among older adults in China

Global reach of ageism on older persons’ health: A systematic review

Health Lifestyles and Their Influence on Chinese Oldest-old’s Health Outcomes —Evidence From a Latent Class Analysis

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