Gender and ethnic health disparities among the elderly in rural Guangxi, China: estimating quality-adjusted life expectancy

Zhang, Tai; Shi, Wenyuan; Huang, Zhichuan; Gao, Dong; Guo, Zhongsheng; Chongsuvivatwong, Virasakdi

doi:10.3402/gha.v9.32261

Cited by 18 publications

(16 citation statements)

References 45 publications

(45 reference statements)

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“…In addition, we found that DNA methylation levels at site 77157909 were significantly lower in females than in males among the offspring. Zhang et al reported that females had a longer lifespan than males in a Chinese population from the same province in China [31]. Taken together, the age and gender-related trends and the difference between cases and controls in DNA methylation levels at the site 77157909 noted in the current study suggest that epigenetic modification in this position of the NFATC1 gene might be associated with a longer lifespan.…”

Section: Resultssupporting

confidence: 56%

DNA Methylation in NFATC1 Gene Promoter is Related to Longevity in Chinese Population

Li¹,

Xi²,

Zhang³

et al. 2017

Hereditary Genet

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Section: Resultssupporting

confidence: 56%

DNA Methylation in NFATC1 Gene Promoter is Related to Longevity in Chinese Population

Li¹,

Xi²,

Zhang³

et al. 2017

Hereditary Genet

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“…(Zhai, Li, & Liu, 2018). Seating and open squares can support physical exercise and entertainment as well as cultivating potential communication opportunities (Zhang et al, 2016) by getting involved in various activities with others in terms of group education, such as painting and craft education.…”

Section: Restorative Designmentioning

confidence: 99%

Development of an education integrated design framework for the physical space of nursing homes in relation to life expectancy of the older people

Zarghami

Olfat

Haverinen‐Shaughnessy

et al. 2019

Health Soc Care Community

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The purpose of this research is to find design variables effective on education integration with physical spaces of nursing homes in association with life expectancy of older people. Delphi technique was used to obtain the design variables by which the education integration with physical spaces of nursing homes can be achieved. Subsequently, in order to investigate the modifying effect of education integrated physical space on life expectancy of the elderly, questionnaires were sent to 50 local researchers and experts in the field of ageing. Results showed a significant and positive correlation between education integrated physical space and life expectancy indicators (p < .05). The results suggest that as per expert opinions, designing a physical space integrated with education could increase the life expectancy of older people. K E Y W O R D S design framework, education integrated, life expectancy, nursing homes, physical environment | 513 ZARGHAMI et Al.research. Second, the potential variables, which can facilitate education, were studied from the architectural perspective.According to research conducted by (Fleck et al., 1999), physical, psychological, social relationships, and environment can affect life expectancy of older people by increasing the quality of their lives. Unfortunately, the older people in today's nursing homes, suf-

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“…Despite the documented risk of cognitive impairment and multimorbidity to health aging, few studies have been conducted to measure how long those aging people would be expected to live less in a quality damaged state caused by this combined burden. Quality-adjusted life expectancy (QALE), as a more sensitive and comprehensive population-health measure, combines the health-related quality of life (HRQoL) with life expectancy (LE) to obtain a single summary score [19][20][21]. When it is hard to estimate HRQoLs directly, the mapping methods could help a lot to generate predictive utility values based on existing health-related data [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…When it is hard to estimate HRQoLs directly, the mapping methods could help a lot to generate predictive utility values based on existing health-related data [22][23][24]. As is widely acknowledged, QALE is better for public health surveillance among older adults compared to other health expectancy measures [20,22]. The QALE losses demonstrated in the previous study [25,26], could quantify the difference in disease burden due to cause-specific mortality and morbidity, and could be displayed at both individual and population levels [25].…”

Section: Introductionmentioning

confidence: 99%

Estimation of losses of quality-adjusted life expectancy attributed to the combination of cognitive impairment and multimorbidity among Chinese adults aged 45 years and older

Xiong

Liu

Qiao

et al. 2020

Preprint

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21Objectives: This study aims to estimate the losses of quality-adjusted life expectancy (QALE) due to the 22 joint effect of cognitive impairment and multimorbidity, and further to confirm additional losses 23 attributable to their interaction among the middle-aged and elderly Chinese. 24 Methods: The National Cause of Death Monitoring Data were linked with the China Health and 25 Retirement Longitudinal Study (CHARLS). A mapping and assigning method was used to estimate 26health utility values, which were further used to calculate QALE. Losses of QALE were measured by 27 comparing the differences between subgroups. And all the losses of QALE were displayed at two levels:28 the individual and the population level. 29Results: At age 45, the individual-level and population-level losses of QALE (95% CI) attributed to the 30 combination of cognitive impairment and multimorbidity were 7. 606 (5.679, 9.566) years and 4.297 31 (3.425, 5.200) years. The losses (95% CI) for cognitive impairment alone were 3.104 (2.287, 3.954) years 32 and 1.709 (1.318, 2.132) years at two levels. Similarly, the losses (95% CI) for multimorbidity alone 33 were 3.526 (2.528, 4.556) years and 1.914 (1.235, 2.625) years at two levels. Additional losses due to34 their interaction were indicated by the 0.976 years of the individual-level gap and 0.674 years of the 35 population-level gap.36 Conclusion: Among the middle-aged and elderly Chinese, cognitive impairment and multimorbidity 37 resulted in much losses of QALE, and additional QALE losses were seen due to their interaction at both 38 individual and population levels.39 40 3 Introduction 41 Age-associated cognitive impairment is a transition link between healthy aging and dementia with 42 the 10% conversion rate, featuring declines in memory, attention, and cognitive function [1]. At the end 43 of 2019, the population aged 65 and above in China accounted for 176.0 million [2]. And a large-sample, 44multi-region study showed that the prevalence (95% CI) of total dementia for the population aged 65 45 years and older in China was 5.60% (3.50%, 7.60%) in 2019 [3]. Moreover, mild cognitive impairment 46 (MCI) is estimated >4 times more common than dementia [1, 4]. 47Meanwhile, age-dependent noncommunicable diseases (NCD) are proved to experience a 48 continuous increase among the elders in the near decades [5]. Nearly 50% of the NCD burden in China 49 occurred in people aged 65 years and older [6], while 47.5% of the elderly aged 65+ had ≥ 2 chronic 50 conditions [7]. Multimorbidity, which is defined as the co-occurrence of two or more chronic diseases in 51 an individual, is widely observed beyond two-thirds of older adults [8, 9]. Many patient-based studies 52 suggested that older adults with at least two diseases were more susceptible to develop cognitive 53 impairment [10][11][12][13][14][15][16][17][18]. The hypothesis that multimorbidity may increase the risk of cognitive impairment 54 has also been verified in population-based researches [10][11][12] 14]. 55Despite the documented ris...

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Gender and ethnic health disparities among the elderly in rural Guangxi, China: estimating quality-adjusted life expectancy

Cited by 18 publications

References 45 publications

DNA Methylation in NFATC1 Gene Promoter is Related to Longevity in Chinese Population

DNA Methylation in NFATC1 Gene Promoter is Related to Longevity in Chinese Population

Development of an education integrated design framework for the physical space of nursing homes in relation to life expectancy of the older people

Estimation of losses of quality-adjusted life expectancy attributed to the combination of cognitive impairment and multimorbidity among Chinese adults aged 45 years and older

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