Objective and subjective financial status and mortality among older adults in China

Wang, Ruojing; Feng, Qiushi; Dupre, Matthew E.; Guo, Aimei; Qiu, Li; Li-sha, Hao; Zhao, Yuan; Gu, Danan

doi:10.1016/j.archger.2018.12.006

Cited by 14 publications

(7 citation statements)

References 59 publications

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“…Our findings are consistent with previous studies that have shown a mortality advantage among urban older adults relative to rural older adults in China [5,7,8,16]. With few exceptions, however, most of these studies did not distinguish urban-rural mortality differences by age or gender; and none of these studies explored the factors contributing to the differences in mortality by age or gender [5,7,16].…”

Section: Discussionsupporting

confidence: 90%

“…According to the National Bureau of Statistics of China (NBSC), death rates at all ages have been lower for urban residents than for rural residents in the last four censuses [11][12][13][14]. Several studies based on national survey data have also showed excessive mortality among rural older adults for deaths among all causes [8,[15][16][17][18][19]. Other localized studies have further shown urban-rural disparity in colorectal cancer mortality and dementia-free life expectancy [20,21].…”

Section: Introductionmentioning

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: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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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“…31,32 It is worth noting that some research analysed the influence of social and economic status on the health habits and physical condition of the elderly with high age in China, and found that social status and economic status have a significant impact on improving health levels among the elderly with high age in China. 33,34 Meanwhile, the Almaty Declaration of 1978 set out the goal of "Health for All 2000", which immediately set off a worldwide trend to study health inequality. In the field of economics, scholars have used relevant economic theories and analytical frameworks to analyse and research from the perspective of economics, such as exploring the health inequality of the elderly in the process of economic transformation or economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

The evolutionary trends of health inequality among elderly Chinese people and influencing factors of these trends from 2005 to 2017

Liu

Duan

2022

Health Planning & Management

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Reducing health inequality and ensuring national health equity have become issues of great concern to all countries in the world. This paper based on the ordered Probit model and concentrated index decomposition method, analysed the influencing factors and evolution trend of health inequality among the elderly with high age in China from 2005 to 2017. The study found that in 2005–2017, the self‐rated health distribution of the elderly with high age in China showed an obvious inverted “U” shape, with the proportion of general and relatively healthy being the largest, while the proportion of unhealthy and very healthy was lower. Lifestyle, family income, and age were the main important factors to expand health inequality. Therefore, encouraging the elderly with high age to develop good living habits and narrowing the income gap of the elderly are conducive to solving the health inequality of the elderly with high age and achieving the goals of active ageing and healthy ageing.

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“…The MMSE in this study was classi ed into two categories: cognition impaired (score <24) and unimpaired (score 24-30) [45,54,61]. However, considering the low level of educational attainment among the oldest-old in China, particularly the female older adults in rural areas, an alternative criterion with a score greater than 17 and 20 as cognitively unimpaired being applied to those who never attended school and those who received 1-6 years of schooling, respectively [62,63,64,65].…”

Section: Cognitive Impairmentmentioning

confidence: 99%

“…China is a country that has the largest population of older adults in the contemporary world, with an estimated prevalence of dementia of approximately 6.6% in 2015-2018 among individuals aged 65 years and older [43,44,45]. With the rapid population aging and socio-economic transformation, growing prevalence of unhealthy diets [46,47,48], and sleep disturbance [49,50,51], there is a need to examine how the frequency of FVI and sleep patterns affect cognitive function among older adults in China.…”

Section: Introductionmentioning

confidence: 99%

Fruit and Vegetable Intakes and Sleep in Linkage With Cognition Among Older Adults in China

Bai¹,

Xie²,

Gu³

2021

Preprint

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Background: Identifying factors associated with cognitive impairment among older adults is critical. This study aims to examine associations of fruit and/or vegetable intake (FVI), sleep quality and duration, and their interactions with cognitive performance among older adults in China.Methods: We utilize nationwide datasets in 2008 and 2011 in China to examine associations between sleep quality and duration, FVI, and cognitive impairment. Interactions between sleep and FVI on cognitive performance are also examined. All analyses are further stratified by gender, age group, and urban-rural residence.Results: When all covariates are fully adjusted for in the cross-sectional analyses, frequent FVI is associated with a 29% lower risk of cognitive impairment compared with less frequent FVI, and daily sleeping durations of ≤6h and ≥10h are associated with a 13% and a 51% higher risk of cognitive impairment, respectively, as compared with the duration of 8h. Sleep quality is not significantly associated with cognitive impairment compared with fair/poor sleep quality when all covariates are adjusted, though it is associated with a 31% lower risk when only demographics are controlled for. Interaction analyses reveal that frequent FVI offsets the higher risk of cognitive impairment for poor sleep quality and excessive sleep durations. Subgroup analyses show a generally similar pattern for both sexes but a more pronounced association for young older adults than for oldest-old adults. The patterns of the interactions of FVI, sleep quality, and sleep duration with cognitive impairment differ by urban-rural residence. However, associations of good sleep quality, adequate sleep duration, and frequent FVI with the incidence of cognitive impairment over a 3-year follow-up period are mostly not significant. Conclusions: The positive association of good sleep quality, appropriate sleep duration, frequent FVI, with good cognitive is mainly cumulative or long-term. Frequent FVI could offset a higher risk of cognitive impairment for poor sleep quality and/or excessive sleep durations. The associations are similar for both sexes but are stronger in oldest-old adults and differ by urban-rural residence.

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Objective and subjective financial status and mortality among older adults in China

Cited by 14 publications

References 59 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

The evolutionary trends of health inequality among elderly Chinese people and influencing factors of these trends from 2005 to 2017

Fruit and Vegetable Intakes and Sleep in Linkage With Cognition Among Older Adults in China

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