Burden of undiagnosed depression among older adults in India: a population based study.

BACKGROUND: The study explored the levels and associated factors of undiagnosed depression among community-dwelling older Indian adults. It also identified the socio-demographic predictors of undiagnosed depression among the study population at national and state levels. METHODS: The study employed data from the Longitudinal Ageing Study in India wave-I, 2017-18. Based on the data on depression from interviewee's self-reporting and measurement on Composite International Diagnostic Interview- Short Form (CIDI-SF) and Centre for Epidemiological Studies- Depression scale (CES-D) scales, we estimated undiagnosed depression among older adults (age 60+). We estimated multivariable binary logistic regressions to examine the socio-demographic and health-related predictors of undiagnosed depression among older adults. FINDINGS: 8% (95% CI: 7.8-8.4) of the total older adults had undiagnosed depression on CIDI-SF scale and 5% (95% CI: 4.8-5.3) on the combined CIDI-SF and CES-D. Undiagnosed depression was higher among those who were widowed, worked in the past and currently not working, scheduled castes, higher educated and the richest. Lack of health insurance coverage, presence of any other physical or mental impairment, family history of Alzheimer's/Parkinson's disease/ psychotic disorder, lower self-rated health and poor life satisfaction were significant predictors of undiagnosed depression on both CIDI-SF and combined scales. CONCLUSION: To improve the health of older adults in India, targeted policy efforts integrating mental health screening, awareness campaigns and decentralization of mental healthcare to primary level is needed. Further research could explore the causal factors behind different levels of undiagnosed depression.

Implications for household health expenditure in China's ageing population: based on Red Herring hypothesis.

The rising healthcare costs due to population aging present a complex issue, with debate centering on whether these costs are driven by aging or end-of-life care. This study examines healthcare expenditures in Chinese households using data from the 2005 and 2018 Chinese Longitudinal Healthy Longevity Survey. By applying the Heckman select model and a two-part model, the research innovatively includes time to death, income, social security and health level in the benchmark regression in order to validate the recent some new Red Herring hypothesis. The findings show that time to death is the primary determinant of healthcare expenditures, while the effect of aging is minimal. Income, social security, and health status also significantly influence health expenditure, but they do not function as Red Herring variables.

[Life expectancy for the regions of the Northwestern Federal District. Part 2: Dynamics of old age threshold.]

The paper continues the study of the population ageing in the regions of the Northwestern Federal District. It characterized population ageing based on prospective ageing indicators that take into account remaining life expectancy. The dynamics of life expectancy (LE) at birth was analyzed. A computation and comparative analysis of the old age threshold for the regions that are part of the Northwestern Federal District have been carried out. A comparative analysis of ageing indicators - traditional and prospective (the proportion of the elderly and the share of the population above the old age threshold) was carried out. It has been found that there are no fundamental differences in the dynamics of life expectancy in older ages, as well as in the of old age threshold, between the regions considered. It is shown that for the male population in almost all regions in 2021, the value of the old age threshold is below 60 years, while for the female population the opposite inequality is observed. Thus, in 2021, the share of men over the old age threshold exceeds the proportion of the elderly in almost all regions considered, and for the female population, the share of the elderly is expected to be higher than the values of the prospective indicator.

Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality.

BACKGROUND: Increasing life expectancy and persistently low fertility levels have led to old population age structures in most high-income countries, and population ageing is expected to continue or even accelerate in the coming decades. While older adults on average have few interactions that potentially could lead to disease transmission, their morbidity and mortality due to infectious diseases, respiratory infections in particular, remain substantial. We aim to explore how population ageing affects the future transmission dynamics and mortality burden of emerging respiratory infections. METHODS: Using longitudinal individual-level data from population registers, we model the Belgian population with evolving age and household structures, and explicitly consider long-term care facilities (LTCFs). Three scenarios are presented for the future proportion of older adults living in LTCFs. For each demographic scenario, we simulate outbreaks of SARS-CoV-2 and a novel influenza A virus in 2020, 2030, 2040 and 2050 and distinguish between household and community transmission. We estimate attack rates by age and household size/type, as well as disease-related deaths and the associated quality-adjusted life-years (QALYs) lost. RESULTS: As the population is ageing, small households and LTCFs become more prevalent. Additionally, families with children become smaller (i.e. low fertility, single-parent families). The overall attack rate slightly decreases as the population is ageing, but to a larger degree for influenza than for SARS-CoV-2 due to differential age-specific attack rates. Nevertheless, the number of deaths and QALY losses per 1,000 people is increasing for both infections and at a speed influenced by the share living in LTCFs. CONCLUSION: Population ageing is associated with smaller outbreaks of COVID-19 and influenza, but at the same time it is causing a substantially larger burden of mortality, even if the proportion of LTCF residents were to decrease. These relationships are influenced by age patterns in epidemiological parameters. Not only the shift in the age distribution, but also the induced changes in the household structures are important to consider when assessing the potential impact of population ageing on the transmission and burden of emerging respiratory infections.

Population ageing and sustainability of healthcare financing in China.

BACKGROUND: In China, the healthcare financing structure involves multiple parties, including the government, society and individuals. Medicare Fund is an important way for the Government and society to reduce the burden of individual medical costs. However, with the aging of the population, the demand of Medicare Fund is increasing. Therefore, it is necessary to explore the sustainability of the healthcare financing structure in the context of population ageing. OBJECTIVE: The purpose of this paper is to organize the characteristics of population ageing as well as healthcare financing in China. On this basis, it analyzes the impact mechanism of population ageing on healthcare financing and the sustainability of existing healthcare financing. METHODS: This paper mainly adopts the method of literature research and inductive summarization. Extracting data from Health Statistics Yearbook of China and Labor and Social Security Statistics Yearbook of China. Collected about 60 pieces of relevant literature at home and abroad. RESULTS: China has already entered a deeply ageing society. Unlike developed countries in the world, China's population ageing has distinctive feature of ageing before being rich. A healthcare financing scheme established by China, composing of the government, society, and individuals, is reasonable. However, under the pressure of population ageing, China's current healthcare financing scheme will face enormous challenges. Scholars are generally pessimistic about the sustainability of China's healthcare financing scheme. CONCLUSIONS: Population ageing will increase the expenditure and reduce the income of the Medicare Fund. This will further affect the sustainability of the healthcare financing structure. As a consequence, the state should pay particular attention to this issue and take action to ensure that the Fund continues to operate steadily.

The occurence of cancer in ageing populations at global and regional levels, 1990 to 2019.

BACKGROUND: population ageing contributes to increased cancer cases and deaths and has profound implications for global healthcare systems. We estimated the trends of cancer cases and deaths in ageing populations at global and regional levels. METHODS: using data from the Global Burden of Disease Study 2019, we analysed the change in cancer cases and deaths associated with population ageing, population growth and epidemiological factors from 1990 to 2019 using decomposition analysis. Additionally, we estimated the proportions of people aged 65 years and over accounting for total cases and deaths, and investigated relationships between the proportions and the Sociodemographic Index (SDI) using the Pearson correlation coefficient. RESULTS: from 1990 to 2019, there was an increase of 128.9% for total cases and 74.8% for total deaths in all cancers combined; the percentages of older people increased from 48.6% to 56.4% for cases and from 52.0% to 61.9% for deaths. Population ageing contributed to the largest increase in global cancer occurrence, with 56.5% for cases and 63.3% for deaths. However, the changes attributed to epidemiological factors was 5.2% for cancer cases and -33.4% for cancer deaths. The proportions of total cases and deaths of older adults were positively correlated with socioeconomic development of the country. CONCLUSION: our findings revealed that the main contributor to increased cancer cases and deaths has changed from comprehensive epidemiological factors to demographic shifts. To respond to the rapidly growing occurrence of cancer in ageing populations, the global health priority should focus on meeting the rising demand for cancer diagnosis, treatment and care services for older people.

Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China.

According to the 7th National Population Census, China is experiencing rapid growth of its ageing population, with large spatial disparities in the distribution of older folks in different regions. And yet, scant comparative research has been conducted on the two regions of Zhejiang and Jilin in particular, which differ considerably in economic development but witness nearly the same ageing trend. In response, this article compares Zhejiang, an advanced economic province, with Jilin, with its relatively low level of economic development, to explore the ageing issue and analyse the spatial correlation between older populations and socioeconomic factors. Using the spatiotemporal data analysis and geographical detector approaches, we obtain three significant findings: 1. both provinces have maintained steady rates of increase in ageing; 2. the older populations in Zhejiang and Jilin are mostly concentrated in the provincial capitals and nearby cities with reasonably established economies; and 3. the factors, including local fiscal expenditures, beds in hospitals and nursing homes, and coverage of social security, show a highly similar spatial pattern between older populations in Zhejiang and Jilin. The q-values of all the selected socioeconomic factors in Jilin showed a growth trend, indicating that the spatial correlation between these factors and ageing is strengthening year on year, that is, the resources gained from the socioeconomic development of Jilin have shifted steadily toward old-age services. As a consequence, a vicious circle of the slowing down of the economic growth drives away working forces and quickens the pace of population ageing, is present. From a policy perspective, Jilin province is strongly dependent on state-owned enterprises characterised by institutional rigidity, an inflexible market economy and an under-developed private sector, all of which are profoundly influenced by ageing. The consequence is large population outflows of young people. In contrast, the economy of Zhejiang province is partially decoupled from the ageing trend, so the gap in level of development between its counties has been narrowing. The policy implication here is that Zhejiang represents an active private economy that has coped successfully with ageing by attracting young migrants and developing new forms of development, such as the digital economy.

Spatio-temporal pattern, matching level and prediction of ageing and medical resources in China.

OBJECTIVE: Population ageing, as a hot issue in global development, increases the burden of medical resources in society. This study aims to assess the current spatiotemporal evolution and interaction between population ageing and medical resources in mainland China; evaluate the matching level of medical resources to population ageing; and forecast future trends of ageing, medical resources, and the indicator of ageing-resources (IAR). METHODS: Data on ageing (EPR) and medical resources (NHI, NBHI, and NHTP) were obtained from China Health Statistics Yearbook and China Statistical Yearbook (2011-2020). We employed spatial autocorrelation to examine the spatial-temporal distribution trends and analyzed the spatio-temporal interaction using a Bayesian spatio-temporal effect model. The IAR, an improved evaluation indicator, was used to measure the matching level of medical resources to population ageing with kernel density analysis for visualization. Finally, an ETS-DNN model was used to forecast the trends in population ageing, medical resources, and their matching level over the next decade. RESULTS: The study found that China's ageing population and medical resources are growing annually, yet distribution is uneven across districts. There is a spatio-temporal interaction effect between ageing and medical resources, with higher levels of both in Eastern China and lower levels in Western China. The IAR is relatively high in Northwest, North China, and the Yangtze River Delta, but showed a declining trend in North China and the Yangtze River Delta. The hybrid model (ETS-DNN) gained an R2 of 0.9719, and the predicted median IAR for 2030 (0.99) across 31 regions was higher than the median IAR for 2020 (0.93). CONCLUSION: This study analyzes the relationship between population ageing and medical resources, revealing a spatio-temporal interaction between them. The IAR evaluation indicator highlights the need to address ageing population challenges and cultivate a competent health workforce. The ETS-DNN forecasts indicate higher concentrations of both medical resources and ageing populations in eastern China, emphasizing the need for region-specific ageing security systems and health service industries. The findings provide valuable policy insights for addressing a hyper-aged society in the future.

Effect of biomass burning on premature mortality associated with long-term exposure to PM2.5 in Equatorial Asia.

The health burden from exposure to ambient fine particulates (PM2.5) in Equatorial Asia is substantially affected by the peatland fires in Indonesia, but the long-term health effect of the fires on local inhabitants is unclear. In this study, PM2.5-associated excess mortality in Equatorial Asia over the past 30 years (1990-2019) was estimated and then the health effect of biomass burning was identified. The PM2.5-related death in Equatorial Asia almost tripled from 113 (95% confidence interval, 100-125) thousand in 1990 to 337 (300-373) thousand in 2019, with a rate of increase of 6.4 (6.2-6.9) thousand/yr. The intense biomass burning between 1990 and 2019 was estimated to have induced 317 (282-348) thousand excess deaths in the study regions, with excess deaths mainly occurring in the El Niño years, such as in 1997, 2006, 2015 and 2019. Although the remote sensing data and emission inventories both reveal that the effective control measures have reduced biomass burning intensity in Equatorial Asia (especially in Sumatra and Borneo), the corresponding health benefit has been offset by variations in demographic factors, i.e., population and age structure. Over the same period, fossil fuel emissions continued to increase rapidly. Thus, more stringent and ambitious policies are required to reduce the health burden from biomass burning and anthropogenic emissions simultaneously to maximize the health benefits from government measures and policies.

[Life expectancy for the regions of the Northwestern Federal District. Part 1: Dynamics of life expectancy at older ages.]

When studying the process of population ageing, much attention is invariably paid to mortality and its generalizing characteristic, life expectancy (LE). The dynamics of LE of men and women at older ages in the regions of the North-Western Federal District has been analyzed. It is shown that in all the regions considered, in all considered older ages, life expectancy decreased at the beginning of the reform period, then from the beginning of the 2000s it grew until 2019, after which it decreased. It has been shown that there are no principal differences between the male and female populations in the character of the dynamics of LE at older ages, but there is a significant gap in the value of life expectancy at older ages between them. It is shown that there are no fundamental differences in the dynamics of life expectancy at older ages between the regions considered. The largest decrease in LE at older ages after 2019 took place just in those regions where the largest increase in LE was observed in the period from the beginning of the 2000s to 2019. Both the relative increase and the relative decrease in life expectancy rise with age for both men and women.

Social isolation, loneliness, and their correlates in older Japanese adults.

BACKGROUND: Loneliness and social isolation are elevated in older adults and associated with a range of detrimental outcomes. Despite this, there has been little research on these phenomena or on similarities and differences in their occurrence or combination in older Japanese adults. The current study aims to (i) determine what factors are associated with social isolation and loneliness among older adults in Japan; and (ii) describe the characteristics of individuals who are socially isolated but not lonely, as well as those who feel lonely but are not socially isolated. METHODS: Data were analysed from 13 766 adults aged ≥65 years who participated in the 2019 wave of the Japan Gerontological Evaluation Study. Poisson regression analysis was used to examine associations. RESULTS: Among older Japanese adults, the attributes of higher age, male gender, lower socioeconomic status, being a welfare recipient, and having depressive symptoms were associated with social isolation, while lower socioeconomic status, unemployment, welfare receipt, and poor physical and mental health were associated with loneliness. In addition, better educated, and mentally and physically healthy people were less likely to feel lonely even when socially isolated, while people who were not working and who had mental or physical health problems were more likely to feel lonely even if they were not socially isolated. DISCUSSION: Our results indicate that in order to reduce unwanted social isolation and loneliness among older Japanese adults, in the first instance the focus should be on those individuals who are socioeconomically disadvantaged and unhealthy.

Can healthy ageing moderate the effects of population ageing on economic growth and health spending trends in Mongolia? A modelling study.

BACKGROUND:  Population ageing will accelerate rapidly in Mongolia in the coming decades. We explore whether this is likely to have deleterious effects on economic growth and health spending trends and whether any adverse consequences might be moderated by ensuring better health among the older population. METHODS:  Fixed-effects models are used to estimate the relationship between the size of the older working-age population (55-69 years) and economic growth from 2020 to 2100 and to simulate how growth is modified by better health among the older working-age population, as measured by a 5% improvement in years lived with disability. We next use 2017 data on per capita health spending by age from the National Health Insurance Fund to project how population ageing will influence public health spending from 2020 to 2060 and how this relationship may change if the older population (≥ 60 years) ages in better or worse health than currently. RESULTS:  The projected increase in the share of the population aged 55-69 years is associated with a 4.1% slowdown in per-person gross domestic product (GDP) growth between 2020 and 2050 and a 5.2% slowdown from 2020 to 2100. However, a 5% reduction in disability rates among the older population offsets these effects and adds around 0.2% to annual per-person GDP growth in 2020, rising to nearly 0.4% per year by 2080. Baseline projections indicate that population ageing will increase public health spending as a share of GDP by 1.35 percentage points from 2020 to 2060; this will occur slowly, adding approximately 0.03 percentage points to the share of GDP annually. Poorer health among the older population (aged ≥ 60 years) would see population ageing add an additional 0.17 percentage points above baseline estimates, but healthy ageing would lower baseline projections by 0.18 percentage points, corresponding to potential savings of just over US$ 46 million per year by 2060. CONCLUSIONS:  Good health at older ages could moderate the potentially negative effects of population ageing on economic growth and health spending trends in Mongolia. Continued investment in the health of older people will improve quality of life, while also enhancing the sustainability of public budgets.

Research to inform health systems' responses to rapid population ageing: a collection of studies funded by the WHO Centre for Health Development in Kobe, Japan.

Population ageing is a global phenomenon that has profound implications for all aspects of health systems development. Research is needed to understand and improve the health system response to this demographic shift, especially in low- and middle-income countries where the change is happening rapidly. This Supplement was organized by the WHO Centre for Health Development in Kobe, Japan (WHO Kobe Centre) whose mission is to promote innovation and research for equitable and sustainable universal health coverage considering the impacts of population ageing. The Supplement features 10 papers all based on studies that were funded by the WHO Kobe Centre in recent years. The studies involve a diverse set of 10 countries in the Asia Pacific (Cambodia, Japan, the Lao People's Democratic Republic, Malaysia, Mongolia, Myanmar, the Philippines, Singapore, Thailand and Viet Nam); address various aspects of the health system including service delivery, workforce development and financing; and utilize a wide range of research methods, including economic modelling, household surveys and intervention evaluations. This introductory article offers a brief description of each study's methods, key findings and implications. Collectively, the studies demonstrate the potential contribution that health systems research can make toward addressing the challenges of ensuring sustainable universal health coverage even while countries undergo rapid population ageing.

Effectiveness of a community-integrated intermediary care (CIIC) service model to enhance family-based long-term care for Thai older adults in Chiang Mai, Thailand: a cluster-randomized controlled trial TCTR20190412004.

BACKGROUND: Populations around the world are ageing faster, with the majority living in low- and middle-income countries where health and social care are yet to be universal and inclusive for the ageing population. This community-integrated intermediary care (CIIC) model is a novel prevention-based, long-term care model enhancing the family-based care system traditionally practised in Thailand and neighbouring Asian countries, and many low-and middle-income countries globally. This study assessed the effectiveness of the CIIC model in Chiang Mai, Thailand. METHODS: The two-arm parallel intervention study was designed as a cluster-randomized controlled trial. The study population at randomization and analysis was 2788 participants: 1509 in six intervention clusters and 1279 in six control clusters. The research protocol was approved by the WHO Research Ethics Review Committee (WHO/ERC ID; ERC.0003064). The CIIC service intervention model is a combination of formal care and informal care in a subdistrict setting consisting of three components: (1) care prevention delivered as community group exercise and home exercise; (2) care capacity-building of the family caregiver; and (3) community respite service. The primary outcome was family caregivers' burden at 6-month follow-up, and secondary outcome was activities of daily living. Analysis applied the intention-to-treat approach using cluster-level analysis via STATA 16 SE. RESULTS: Baseline characteristics did not differ between the two arms. Loss of follow up was 3.7%. Mean age of the participants was 69.53 years. Women constituted 60%. The COVID-19 pandemic caused delayed implementation. The proportion of families with reduced caregiver burden at 6-month follow-up was higher among the intervention clusters (mean 39.4%) than control clusters (mean 28.62%). The intervention clusters experienced less functional decline and fewer people with depression. CONCLUSIONS: When communities are integrated for preventing care, and families are empowered for giving care, it is possible to secure universal access to health and social care for the older persons, with basic resources mobilized from communities. This study had shown the CIIC model as an effective and potential step to the realization of universal health and long-term care coverage being inclusive of ageing populations in Thailand and globally. TRIAL REGISTRATION: This trial was registered at the Thailand Clinical Trial Registry-Trial registration number TCTR20190412004, https://www.thaiclinicaltrials.org/.

Assessment of cognitive function among adults aged ≥ 60 years using the Revised Hasegawa Dementia Scale: cross-sectional study, Lao People's Democratic Republic.

BACKGROUND: Rapid population ageing remains an important concern for health, social and economics systems; thus, a broader assessment of cognitive decline among adults aged ≥ 60 years is essential. It is important to regularly collect reliable data through validated and affordable methods from people living in different areas and in different circumstances to better understand the significance of this health problem. This study aimed to identify the prevalence of cognitive impairment and the related risk factors by reassessing the scoring of the Revised Hasegawa Dementia Scale among older adults in the Lao People's Democratic Republic. METHODS: A community-based cross-sectional investigation was conducted in rural and urban settings in six districts of three provinces in the country from January to July 2020. In total, 2206 individuals aged 60-98 years (1110 men and 1096 women) were interviewed in person using a pretested Lao version of the Revised Hasegawa Dementia Scale and the WHO STEPwise approach to noncommunicable disease (NCD) risk factor surveillance (the STEPS survey tool). The adjusted odds ratios (AORs) and 95% confidence intervals (95% CIs) were estimated using a logistic model. RESULTS: The study found that 49.3% (1088/2206) of respondents (39.7% [441/1110] of men and 59.0% [647/1096] of women) had scores associated with some level of cognitive impairment. In addition to age, the following factors were significantly associated with cognitive impairment: having no formal education (AOR = 9.5; 95% CI: 5.4 to 16.8, relative to those with a university education), living in the northern region of the country (AOR = 1.4; 95% CI: 1.1 to 1.9, relative to living in the central region), living in a rural area (AOR = 1.5; 95% CI: 1.2 to 1.8), needing assistance with self-care (AOR = 1.8; 95% CI: 1.2 to 2.7) and being underweight (AOR = 1.5; 95% CI: 1.1 to 2.2). Factors associated with no cognitive impairment among older adults include engaging in moderate-intensity physical activity lasting for 10 minutes and up to 1 hour (AOR = 0.6; 95% CI: 0.5 to 0.8) and for > 1 hour (AOR = 0.6; 95% CI: 0.4 to 0.8). CONCLUSIONS: Using the Lao version of the Revised Hasegawa Dementia Scale, this study found that more than half of adults aged ≥ 60 years had cognitive impairment, and this impairment was associated with several risk factors. The limitations of this study may include possible overdetection due to the cutoff point for the assessment of cognitive decline used in the Revised Hasegawa Dementia Scale, given that the participants were not familiar with the instrument. However, the study results can be used to help inform health policy in the Lao People's Democratic Republic regarding the urgent need for a routine data collection system and for providing an environment that addresses and reduces the identified risk factors for cognitive decline to mitigate their impact.

Effect of vaccine efficacy on disease transmission with age-structured.

Recent outbreaks of novel infectious diseases (e.g., COVID-19, H2N3) have highlighted the threat of pathogen transmission, and vaccination offers a necessary tool to relieve illness. However, vaccine efficacy is one of the barriers to eradicating the epidemic. Intuitively, vaccine efficacy is closely related to age structures, and the distribution of vaccine efficacy usually obeys a Gaussian distribution, such as with H3N2 and influenza A and B. Based on this fact, in this paper, we study the effect of vaccine efficacy on disease spread by considering different age structures and extending the traditional susceptible-infected-recovery/vaccinator(SIR/V) model with two stages to three stages, which includes the decision-making stage, epidemic stage, and birth-death stage. Extensive numerical simulations show that our model generates a higher vaccination level compared with the case of complete vaccine efficacy because the vaccinated individuals in our model can form small and numerous clusters slower than that of complete vaccine efficacy. In addition, priority vaccination for the elderly is conducive to halting the epidemic when facing population ageing. Our work is expected to provide valuable information for decision-making and the design of more effective disease control strategies.

Assessing the impact of diversity and ageing population on health expenditure of United States.

BACKGROUND: At the biological level, ageing results from a plodding decline in physical and mental capability, an emergent menace of malady, and eventually, fatality. Even though a few of the geriatric's health changes are hereditary, to a great extent is due to individual's physical and societal surroundings and their residence, locality, societies, gender, ethnicity or socio-economic status. The current debate is well popular by the relationship between increasing diversity and the ageing population with healthcare expenditure in the United States. Higher diversity in society and increasing ageing population have various socio-economic consequences. A good policy in this regard helpful to managed and get fruitful outcomes. OBJECTIVE: This study aims to examine the direct effects of diversity and ageing population on healthcare spending. The assortment observed in geriatrics is not arbitrary. A huge portion emerges from individual's physical and social settings and the influence of these environs on their prospect and well-being demeanour. METHOD: This study used the Bayesian-vector autoregressive model, impulse response analysis, and variance decomposition and data over the period 1990-2018 for empirical analysis of the United States. RESULTS: The empirical findings indicate that diversity and ageing population are more persistent with health expenditure in the United States. This study concludes that an increase in diversity and ageing population will rely on the long-term healthcare facility. CONCLUSION: The study suggests that cohesive society and effective health intervention might aid in curtailing expenditure pressure linked with elderly population. Furthermore, a recommendation of this study is a good opportunity for healthcare policymakers and further researches.

Disability-adjusted life years associated with population ageing in China, 1990-2017.

BACKGROUND: The Chinese population has aged significantly in the last few decades. Comprehensive health losses including both fatal and non-fatal health outcomes associated with ageing in China have not been detailed. METHODS: Based on freely accessible disability adjusted life years (DALYs) estimated by the Global Burden of Diseases (GBD) 2017, we adopted a robust decomposition method that ascribes changes in DALYs in any given country across two time points to changes resulting from three sources: population size, age structure, and age-specific DALYs rate per 100,000 population. Using the method, we calculated DALYs associated with population ageing in China from 1990 to 2017 and examined the counteraction between the effects of DALYs rate change and population ageing. This method extends previous work through attributing the change in DALYs to the three sources. RESULTS: Population ageing was associated with 92.8 million DALYs between 1990 and 2017 in China, of which 65.8% (61.1 million) were years of life lost (YLLs). Males had comparatively more DALYs associated with population ageing than females in the study period. The five leading causes of DALYs associated with population ageing between 1990 and 2017 were stroke (23.6 million), chronic obstructive pulmonary disease (COPD) (18.3 million), ischemic heart disease (13.0 million), tracheal, bronchus, and lung cancer (6.1 million) and liver cancer (5.0 million). Between 1990 and 2017, changes in DALYs associated with age-specific DALY rate reductions far exceeded those related to population ageing (- 196.2 million versus 92.8 million); 57.5% (- 112.8 million) of DALYs were caused by decreases in rates attributed to 84 modifiable risk factors. CONCLUSION: Population ageing was associated with growing health loss in China from 1990 to 2017. Despite the recent progress in alleviating health loss associated with population ageing, the government should encourage scientific research on effective and affordable prevention and control strategies and should consider investment in resources to implement strategies nationwide to address the future challenge of population ageing.

Rural-urban and gender differences in the association between community care services and elderly individuals' mental health: a case from Shaanxi Province, China.

BACKGROUND: While community care services have been developing rapidly as a new way to meet the growing demands of elderly individuals in China, their health benefits are virtually unknown. Thus, the aim of this study was to examine the Chinese elderly individuals' utilisation of community care services and its association with the mental health with comparing rural-urban and gender differences. METHODS: For this 2019 cross-sectional study, 687 elderly people from 7 counties (districts) of China's Shaanxi province were enrolled. Respondents' mental health level was assessed using a self-reported mental health measure. Four categories of community care services utilisation were examined: daily care services, medical care services, social and recreational services and spiritual comfort services. The binary logistic regression model was used in examining the association between community care services utilisation and mental health. RESULTS: Our results showed that there was a noted difference in mental health level between the male and female groups. Utilisation of medical care services and social and recreational services was significantly higher in the rural group than that in the urban group. Regression analysis showed that utilisation of daily care services (ß = 0.809, p = 0.008) and social and recreational service (ß = 0.526, p = 0.035) was significantly and positively associated with elderly individuals' mental health level. Specifically, daily care services utilisation predicted a better mental health of the rural elderly (ß = 1.051, p = 0.036) and the male elderly (ß = 1.133, p = 0.053), while social and recreational services utilisation predicted a better mental health of the urban elderly (ß = 0.927, p = 0.008) and the female elderly (ß = 0.864, p = 0.007). CONCLUSIONS: Our findings indicated varied levels of community care services utilisation and mental health are common among the elderly people in China. Community care services utilisation has a positive, albeit selective, association with elderly individuals' mental health. Further policies should strengthen the equitable development of high-quality community care services in urban and rural areas to improve the mental health of elderly individuals, and focus more on gender differences in terms of community care services needs.

Multidimensional healthy life expectancy of the older population in China.

Research on healthy life expectancy (HLE) that considers cognitive impairment has been inadequate, particularly in the context of less developed countries. Using data from the China Health and Retirement Longitudinal Study, our study fills this research gap by computing active life expectancy (ALE), cognitive-impairment-free life expectancy (CIFLE), and active and cognitive-impairment-free life expectancy (ACIFLE) for China's older population, using multistate life tables. Results show that at age 60, the three life expectancies were 19.4 years (ALE), 9.5 years (CIFLE), and 8.8 years (ACIFLE) during the period 2011-13. HLE exhibits significant differentials by sex, urban/rural residence, educational level, marital status, and health status at age 60. Among China's older people, males and those living in urban areas experience higher CIFLE, and those who live with a spouse, are more educated, and are healthy at age 60 expect more years in good health according to all three HLE measures.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1914854.