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

Inequality in quality-adjusted life expectancy by educational attainment in Norway: an observational study

BACKGROUND

Health inequalities are often assessed in terms of life expectancy or health-related quality of life (HRQoL). Few studies combine both aspects into quality-adjusted life expectancy (QALE) to derive comprehensive estimates of lifetime health inequality. Furthermore, little is known about the sensitivity of estimated inequalities in QALE to different sources of HRQoL information. This study assesses inequalities in QALE by educational attainment in Norway using two different measures of HRQoL.

METHODS

We combine full population life tables from Statistics Norway with survey data from the Tromsø study, a representative sample of the Norwegian population aged ≥ 40. HRQoL is measured using the EQ-5D-5L and EQ-VAS instruments. Life expectancy and QALE at 40 years of age are calculated using the Sullivan-Chiang method and are stratified by educational attainment. Inequality is measured as the absolute and relative gap between individuals with lowest (i.e. primary school) and highest (university degree 4 + years) educational attainment.

RESULTS

People with the highest educational attainment can expect to live longer lives (men: + 17.9% (95%CI: 16.4 to 19.5%), women: + 13.0% (95%CI: 10.6 to 15.5%)) and have higher QALE (men: + 22.4% (95%CI: 20.4 to 24.4%), women: + 18.3% (95%CI: 15.2 to 21.6%); measured using EQ-5D-5L) than individuals with primary school education. Relative inequality is larger when HRQoL is measured using EQ-VAS.

CONCLUSION

Health inequalities by educational attainment become wider when measured in QALE rather than LE, and the degree of this widening is larger when measuring HRQoL by EQ-VAS than by EQ-5D-5L. We find a sizable educational gradient in lifetime health in Norway, one of the most developed and egalitarian societies in the world. Our estimates provide a benchmark against which other countries can be compared.

Multidimensional evaluation of healthy life expectancy indicators based on mental health among the rural older population: A large-scale cross-sectional study

BACKGROUND

This study aimed to estimate healthy life expectancy (HLE) regarding anxiety, depression and their comorbidity among rural older adults.

METHODS

A total of 12,851 subjects (5790 men and 7061 women) enrolled from the Henan Rural Cohort Study were used to evaluate healthy status expectancy (HSE), and 10,096 (4475 men and 5621 women) of them were used to estimate health-adjusted life expectancy (HALE). The life expectancy was calculated using period life table, and HSE and HALE indicators were calculated via the Sullivan method.

RESULTS

For participants aged 60, the depression-free life expectancy (DFLE), anxiety-free life expectancy (AFLE), and depression- and anxiety-free life expectancy (DAFLE) were 23.0993, 23.3314, and 22.7206 years, respectively. The quality-adjusted life expectancy (QALE) of those with neither anxiety nor depression, with anxiety, with depression, and with comorbidity was 22.0727, 20.8751, 18.1484, and 17.0823 years, respectively. The ratio of DFLE (AFLE) to LE increased with age among both genders, while the DAFLE/LE showed a decreasing trend. Regardless of HSE or HALE indicators, women tended to have higher HLE, while HLE/LE was lower than men. Furthermore, all HLE indicators associated with anxiety were the largest in both genders compared to indicators regarding depression.

LIMITATIONS

The HLE may be overestimated ignoring institutional population in the study.

CONCLUSION

Anxiety and depression played essential roles in the quality of life among rural older adults, especially depression. Comorbidity would intensify the adverse effect in rural areas, especially for older men. More attention should be paid to the psychological problems among rural older population.

Psychosocial aspects and support networks associated with disability in two longevous populations in Brazil: a cross-sectional study

BACKGROUND

Among the oldest old, aged 80 years and over, the prevalence of disability is higher than in other age groups and can be considered a predictor of mortality.

OBJECTIVE

To evaluate how psychosocial aspects and support networks influence the disability of these oldest-old individuals, performing a comparison between two longevous populations, one living in one of the poorest regions of Brazil, in the backlands of Paraíba, and another living in one of the largest urban centres in Latin America.

METHOD

A cross-sectional study in which 417 oldest-old persons aged 80 years and older were interviewed, with data collected through the "Health, Welfare and Ageing" survey conducted in two Brazilian cities. Disability was assessed by reporting the need for assistance in Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs). Bivariate and multiple analyses were performed using R statistical software.

RESULTS

Food insufficiency in the first years of life had negative repercussions on the disability of oldest old people living in the northeast. On the other hand, in this region, older people have a higher rate of support and live longer with their peers, which may contribute to reducing feelings of loneliness, depressive symptoms, and worse self-perception of health. In the Southeast, financial constraints, subjective poverty, and unmet needs may favour the development of functional limitations between long-lived people.

CONCLUSION

Our findings indicate that regional differences in Brazil may influence the disability of older people aged 80 and older. In northeast Brazil, having no partner may contribute to disability for ADLs and IADLs; while, in the longevous population of São Paulo, having a worse self-rated health may contribute to disability for IADLs.

Socioeconomic Factors and Health Status Disparities Associated with Difficulty in ADLs and IADLs among Long-Lived Populations in Brazil: A Cross-Sectional Study

Objective:

To evaluate the association between socioeconomic factors, health status, and Functional Capacity (FC) in the oldest senior citizens in a metropolis and a poor rural region of Brazil.

Method:

Cross-sectional study of 417 seniors aged ≥80 years, data collected through Brazil’s Health, Well-being and Aging survey. FC assessed by self-reporting of difficulties in Activities of Daily Living (ADLs) and Instrumental Activities of Daily Living (IADLs). Chi-square tests and multiple logistic regression analyses were performed using “R” statistical software.

Results:

Socioeconomic and demographic inequalities in Brazil can influence FC in seniors aged 80 years and older. Comparatively, urban long-lived people had a higher prevalence of difficulties for ADLs and rural ones showed more difficulties for IADLs. Among urban oldest seniors, female gender and lower-income were correlated with difficulties for IADLs. Among rural oldest seniors, female gender, stroke, joint disease, and inadequate weight independently were correlated with difficulties for ADLs, while the number of chronic diseases was associated with difficulties for IADLs.

Conclusion:

Financial constraints may favor the development of functional limitations among older seniors in large urban centers. In poor rural areas, inadequate nutritional status and chronic diseases may increase their susceptibility to functional decline.

Health-adjusted life expectancy (HALE) in Chongqing, China, 2017: An artificial intelligence and big data method estimating the burden of disease at city level

BACKGROUND

A universally applicable approach that provides standard HALE measurements for different regions has yet to be developed because of the difficulties of health information collection. In this study, we developed a natural language processing (NLP) based HALE estimation approach by using individual-level electronic medical records (EMRs), which made it possible to calculate HALE timely in different temporal or spatial granularities.

METHODS

We performed diagnostic concept extraction and normalisation on 13•99 million EMRs with NLP to estimate the prevalence of 254 diseases in WHO Global Burden of Disease Study (GBD). Then, we calculated HALE in Chongqing, 2017, by using the life table technique and Sullivan's method, and analysed the contribution of diseases to the expected years "lost" due to disability (DLE).

FINDINGS

Our method identified a life expectancy at birth (LE0) of 77•9 years and health-adjusted life expectancy at birth (HALE0) of 71•7 years for the general Chongqing population of 2017. In particular, the male LE0 and HALE0 were 76•3 years and 68•9 years, respectively, while the female LE0 and HALE0 were 80•0 years and 74•4 years, respectively. Cerebrovascular diseases, cancers, and injuries were the top three deterioration factors, which reduced HALE by 2•67, 2•15, and 1•19 years, respectively.

INTERPRETATION

The results demonstrated the feasibility and effectiveness of EMRs-based HALE estimation. Moreover, the method allowed for a potentially transferable framework that facilitated a more convenient comparison of cross-sectional and longitudinal studies on HALE between regions. In summary, this study provided insightful solutions to the global ageing and health problems that the world is facing.

FUNDING

National Key R and D Program of China (2018YFC2000400).

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

OBJECTIVES

This study aims to estimate the losses of quality-adjusted life expectancy (QALE) due to the joint effects of cognitive impairment and multimorbidity, and to further confirm additional losses attributable to this interaction among middle-aged and elderly Chinese people.

METHODS

The National Cause of Death Monitoring Data were linked with the China Health and Retirement Longitudinal Study (CHARLS). A mapping and assignment method was used to estimate health utility values, which were further used to calculate QALE. Losses of QALE were measured by comparing the differences between subgroups. All the losses of QALE were displayed at two levels: the individual and population levels.

RESULTS

At age 45, the individual-level and population-level losses of QALE attributed to the combination of cognitive impairment and multimorbidity were 7.61 (95% CI: 5.68, 9.57) years and 4.30 (95% CI: 3.43, 5.20) years, respectively. The losses for cognitive impairment alone were 3.10 (95% CI: 2.29, 3.95) years and 1.71 (95% CI: 1.32, 2.13) years at the two levels. Similarly, the losses for multimorbidity alone were 3.53 (95% CI: 2.53, 4.56) years and 1.91 (95% CI: 1.24, 2.63) years at the two levels. Additional losses due to the interaction of cognitive impairment and multimorbidity were indicated by the 0.98 years of the individual-level gap and 0.67 years of the population-level gap.

CONCLUSION

Among middle-aged and elderly Chinese people, cognitive impairment and multimorbidity resulted in substantial losses of QALE, and additional QALE losses were seen due to their interaction at both individual and population levels.

Hygienic Risk Exposures Across Ethnic Groups in Rural Areas of Guangxi, China: Prevalence, Associated Factors, and Perceptions of Policy

BACKGROUND

Controlling hygienic risk exposures (HREs) is important for reducing acute respiratory infection or parasitic infection; however, studies across vulnerable ethnicities are limited. This study aimed to identify the prevalence and associated factors of HREs and perception on HRE policies among ethnic groups in Guangxi, China.

METHODS

A community-based cross-sectional study was conducted in rural areas of Guangxi, China, among Han majority and Zhuang, Yao, Miao, Dong, Mulao, and Maonan minorities. The prevalence of HREs and perceptions concerning the HRE policies were presented using descriptive statistics. Associated factors were analyzed using a logistic regression model, and adjusted prevalence ratios and 95% confidence interval were calculated.

RESULTS

High prevalence of HREs on hand and soil hygiene were found in all ethnicities. Miao minority had the highest prevalence of HREs, particularly in poor hand washing (74.1%), infrequent nail clipping (90.4%), and outdoor soil contact (92.7%), compared with the others. Prevalence of HREs in some ethnic minority groups were significantly different from those in Han majority after adjusted with other significant factors. Village leaders were more aware of existing national and community regulations related to HREs than household heads. Village leaders and household heads of almost all ethnic groups perceived high policy's compliance in their village or household on avoiding fertilizing with farmyard manure.

CONCLUSIONS

HREs were prevalent in all ethnic groups, especially in Miao minority. Ethnicity, one of social determinants, was significantly associated with HREs. Raising awareness at both the village and household levels on HREs is needed for all ethnic groups.

Gender Inequalities in Health and Their Effect on the Economic Prosperity Represented by the GDP of Selected Developed Countries-Empirical Study

The objective is to evaluate the relations between gender health inequalities and economic prosperity in the Organisation for Economic Co-operation and Development (OECD) countries. The groups included health indicators in the specification of men, women and gender inequalities: life expectancy, causes of mortality and avoidable mortality. The variable determining the economic prosperity was represented by the Gross Domestic Product (GDP). The analytical processing included descriptive analysis, analysis of differences and analysis of relationships. The regression analysis was presented as the main output of the research. Most of the significant gender differences in health showed a more positive outcome for women. It is possible to identify a certain relation between gender health inequalities and economic prosperity. If there is some reduction in gender inequalities in health, the economic prosperity will increase. The reduction seems to be more effective on the part of men than women. The output of the cluster analysis showed the relations of indicators evaluating the inequalities and the prosperity. The countries such as Luxembourg, Norway or Switzerland showed very positive outputs, on the other hand, the countries with a potential for the improvement are Lithuania, Latvia or Estonia. Overall, the policies should focus on reducing the inequalities in avoidable mortality as well as reducing the frequent diseases in younger people.

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

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.

On the Association Between Social Determinants of Health and Disability in Stroke-Free Older Adults Living in Rural Settings. The Three Villages Study

BACKGROUND

High social risk, as quantified by the social determinants of health (SDH), may lead to disability. This association has not been well explored in remote settings. Using the three Villages Study cohort, we assessed the association between SDH and disability among stroke-free older adults living in a rural Ecuadorian community.

METHODS

SDH were measured by the use of the Gijon Scale and disability by the Functional Activities Questionnaire. All participants had a brain MRI to assess subclinical biomarkers of cerebral small vessel disease. Multivariate models were fitted to assess the association between components of SDH and disability, after adjusting for covariates of interest.

RESULTS

The mean age of 478 enrolled individuals was 70.1 ± 8 years (59% women). High social risk was observed in 220 (46%) individuals and disability in 222 (46%). There was an almost direct linear relationship between SDH and disability, after taking into account the effect of age. A generalized linear model, adjusted for all included covariates, showed an independent association between social risk and disability (P < .001). In addition, multivariate models showed that independent SDH components more strongly associated with disability were worse support networks and social relationships. In contrast, the single SDH component not associated with disability was the economic status.

CONCLUSIONS

This study showed a robust association between SDH and disability. Economic needs were surpassed by other components of SDH. This knowledge will help to develop strategies for the control of factors that may be in the path for disability among older adults living in rural settings.