Loneliness shapes disparities in healthy life expectancy: a multi-state analysis from China.

OBJECTIVES: To assess the influence of loneliness on the healthy life expectancy of older adults in China and its gender disparities across different health indicators, in order to provide insights for enhancing the health status and subjective well-being of the older population. METHOD: We conducted a cohort analysis using four waves of weighted samples (2008, 2011, 2014, and 2018) from the Chinese Longitudinal Healthy Longevity Survey, encompassing 15,507 respondents aged 65-99. Physical and subjective health were assessed through activity of daily living (ADL) and self-rated health (SRH), respectively. Utilizing loneliness status as a time-variant variable, we employed the multi-state interpolated Markov Chain to explore the associations between loneliness and age-specific life expectancy (LE), healthy life expectancy (HLE), and the proportion of healthy life expectancy in life expectancy (HLE/LE). RESULTS: Compared to the non-lonely population, both LE and HLE were lower among lonely individuals. Regarding gender differences, the HLE/LE for females in the lonely population was consistently lower than that for males. The impact of loneliness on the health of older adults varied by measurement indicators and gender. Specifically, based on ADL results, the decline in HLE/LE was greater for females, with a decline of 53.6% for lonely females compared to 51.7% for non-lonely females between the ages of 65 and 99. For males, the decline was 51.4% for lonely males and 51.5% for non-lonely males. According to SRH, the gender difference in the decline of HLE/LE due to loneliness was less apparent. For males, the change in HLE/LE for non-lonely individuals was 3.4%, compared to 4.2% for lonely individuals, whereas for females, the change was 3.7% for non-lonely individuals and 4.4% for lonely individuals. CONCLUSION: Loneliness exerts varied effects on health across different measurement indicators and gender demographics. Targeted health promotion interventions are imperative to mitigate these negative impacts, particularly emphasizing the enhancement of subjective well-being and physical functioning, especially among older adult females.

The benefits of leisure activities on healthy life expectancy for older people with diabetes.

PURPOSE: The purpose of this study is to examine whether leisure activities can help reduce years lived with disability and increase healthy life expectancy of diabetics aged 50 years and above. METHODS: Analysis was based on five waves of follow-up survey data (Taiwan Longitudinal Study of Aging, TLSA) from 1996 to 2011. A total of 5131 participants aged 50 years and above in 1996 were included in the analysis, and gender, leisure activity participation, and diabetes mellitus were used as primary variables to examine the variation trend in health status in the participants. The health status in the various waves of surveys was measured using the activities of daily living scale, and nondisabled was defined as healthy. A multivariate logistic regression model was used to calculate the life expectancy (LE) and healthy life expectancy (HLE) of the people aged 50 years and above. RESULTS: The diabetes older people with a high frequency of leisure activities have longer HLE than those with lower activity frequency. Using 50-year-old diabetic women as an example, the LE (HLE) of those with six or more leisure activities and those with three or fewer leisure activities was 30.40 (25.34) and 24.90 (20.87), respectively. The LE (HLE) of men with the same conditions was 24.79 (22.68) and 20.30 (18.45), respectively. CONCLUSIONS: This study used life expectancy and healthy life expectancy as markers to evaluate health benefits and provided evidence that leisure activities can help extend the life span and maintain the health status of middle-aged and older diabetics.

[Regional differences and trends in healthy life expectancy in Germany]. / Regionale Unterschiede und Trends in gesunder Lebenserwartung in Deutschland.

BACKGROUND: Against the background of increasing life expectancy, the question arises in which state of health the additional years of life are spent. The aim of this study is to assess for the first time regional differences in healthy life expectancy for Germany. METHODS: The concept of healthy life expectancy allows for the combination of regional differences in health status and mortality in a single measure. This article uses the concept of partial healthy life expectancy. We use official data on deaths and population numbers to calculate abridged life tables. Data from the Socio-Economic Panel (SOEP) are used to determine the age- and sex-specific prevalences of health status. Regional differences are analyzed from 2002 to 2019 by dividing Germany into four regions (North, South, East, West). RESULTS: The regional differences in healthy life expectancy in Germany are greater than differences in life expectancy, and trends in healthy life expectancy partly differ from the corresponding trends in mortality. These differences over time also vary according to age: while healthy life expectancy has tended to stagnate and, in some cases, decline among the population aged between 20 and 64, the number and proportion of years in good health has increased among older adults up to the age of 79. CONCLUSION: There are striking regional differences and trends in the distribution of expected years in good health in Germany. The timely identification of regionally divergent developments could facilitate the implementation of targeted health-promoting measures.

The burden of diabetes and hypertension on healthy life expectancy in Bangladesh.

Diabetes and hypertension are among the leading causes of death in Bangladesh. This study examined hypertension, diabetes, and either or both, free life expectancy, to measure the effect of the diseases on the overall health of individuals in Bangladesh with regional variations. We utilized data from Bangladesh Sample Vital Statistics 2018 for mortality and Bangladesh Demographic and Health Survey 2017-2018 for diabetes and hypertension. The Sullivan method was employed to estimate age-specific hypertension and diabetes-free life expectancy. Altogether, 10.3% of the people aged 18-19 years lived with either diabetes or hypertension. The hypertension-free life expectancy was 40.4 years, and the diabetes-free life expectancy was 53.2 years for those aged 15-19. Overall, individuals would expect to spend 38.7% of their lives with either of the diseases. Females suffered more from hypertension and males from diabetes. Still, females suffered more from the aggregate of both. Rural people had more diabetes and hypertension-free life expectancy than those of urban. Individuals of Mymensingh had the highest life expectancy free of both diseases compared to other divisions of Bangladesh. Diabetes and hypertension affect a considerable proportion of the life of the population in Bangladesh. Policy actions are needed to guide the prevention, diagnosis, and treatment of both diseases, specifically focusing on women and urban populations. Widespread health-enhancing actions need to be taken to diminish the effect of these two diseases in Bangladesh.

Relationship between physical activity and locomotive syndrome among young and middle-aged Japanese workers.

OBJECTIVES: This study aimed to examine the relationship between physical activity (PA) and locomotive syndrome (LS) among young and middle-aged Japanese workers. METHODS: This cross-sectional study included 335 participants from a company in Kumamoto, Japan. LS was evaluated using the 25-question Geriatric Locomotive Function Scale (GLFS-25); a GLFS-25 score ≥7 was defined as LS. Weekly PA was measured using the International Physical Activity Questionnaire. Work-related PA (time spent sitting, standing, walking, and strenuous work per day) and sedentary breaks were measured using a Work-related Physical Activity Questionnaire. Screen usage (television [TV], smartphones, tablets, and personal computers) during leisure time was recorded. The association between PA and LS was examined using a multivariate logistic regression analysis adjusted for age, sex, body mass index, history of musculoskeletal disorders, cancer, stroke, occupation, employment type, work time, shift system, employment status, and body pain. RESULTS: A total of 149 participants had LS. Fewer sedentary breaks during work (>70-minute intervals, odds ratio [OR] = 2.96; prolonged sitting, OR = 4.12) and longer TV viewing time (≥180 minutes, OR = 3.02) were significantly associated with LS. In contrast, moderate PA (OR = 0.75) was significantly associated with a lower risk of LS. CONCLUSIONS: Fewer sedentary breaks during work and longer TV viewing time could increase the risk of LS in young and middle-aged Japanese workers.

Is gender equality associated with a longer healthier life? Ecological evidence from 27 European countries.

BACKGROUND: The association between gender equality and higher life expectancies has been described. Yet, little is known about its association with healthy life expectancy (HLE), or which domains are consistently associated with longer and healthier lives. We aimed to study the association between country-level gender equality, its domains and subdomains, with life expectancy and HLE in Europe, from 2013 to 2019. METHODS: We combined life and HLE estimates from Eurostat with the Gender Equality Index and its 'work', 'knowledge', 'money', 'time' and 'power' domains and respective subdomains, for 27 European countries. Associations were estimated using panel data regression analyses adjusted for Gross Domestic Product, healthcare expenditure and Gini coefficient. RESULTS: Higher life and healthy life expectancies were found in country years with higher gender equality, both for men and women. Associations were particularly consistent for the 'work' (ßHLE-men = 0.59; ßHLE-women = 0.59; P < 0.05) and 'power' domains (ßHLE-men = 0.09; ßHLE-women = 0.12, P < 0.01), especially for the 'work participation', 'political' and 'economic power' subdomains. CONCLUSION: These results point to a country-level association between gender equality and life and healthy life expectancies, suggesting that gender disparities in 'work participation' and 'political' and 'economic power' play a role in the health of women and men through their aging course.

Associations of Lower-Limb Phase Angle with Locomotion and Motor Function in Japanese Community-Dwelling Older Adults.

Whole-body phase angle (PhA) is associated with motor function and geriatric diseases. However, it was unclear which parts of the upper- or lower-limb PhA were involved. This study investigated the differences in the PhA of the upper and lower extremities and their relationships with frailty, locomotive syndrome indices, and motor function in community-dwelling older adult participants. This study was a cross-sectional observational study. In 69 community-dwelling older adults, the PhA at each measurement site (whole body, upper limbs, and lower limbs), motor function, Kihon Checklist (KCL), and 25-Geriatric Locomotive Function Scale (GLFS-25) were measured. This study examined differences in each PhA and its relationship with motor function and geriatric diseases. Multiple regression analysis was performed using GLFS-25 as the dependent variable and sex and lower-limb PhA as independent variables. In this cohort (mean age: 72.3 ± 5.7 years; 18 males and 51 females), lower-limb PhA was significantly lower than upper-limb PhA. Unlike other PhAs, lower-limb PhA was related to grip strength, TUG, F/w, and GLFS-25. Multiple regression analysis showed that the lower-limb PhA was independently related to GLFS-25. Cellular health of the lower extremity is associated with gait, standing function, and indicators of locomotive syndrome.

A Scoping Review of Tools and Techniques on Evaluating Population Health and Healthy Life Expectancy.

The concept of healthy life expectancy (HLE) integrates the ideas of life expectancy and health status, providing a valuable metric to evaluate both the length and quality of life. This paper seeks to aid policymakers in creating an inclusive HLE indicator system through a systematic review of methodologies for defining and measuring HLE, along with relevant published studies' descriptions. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews statement, two English language literature databases were researched from January 2020 to April 2023. Findings from empirical HLE-related studies were analyzed by extracting data on the study area, design, population, healthy state measurement tools, and results of studies using HLE indicators. The current analysis encompassed 48 empirical studies. Researchers discerned 11 unique HLE indicators within this corpus, each concentrating on a particular aspect. Furthermore, the analysis revealed 18 diverse instruments for evaluating health statuses, each varying in its definition of a healthy state, dimensions of measurement, and the categories of data employed. Therefore, merging global health concepts, HLE indicators, methodologies for assessing healthy states, and applied research demonstrations are essential for a consolidated HLE indicator system creation.

Impact of access to childhood health services on healthy life expectancy of the older population.

Background: Life course theory provides new perspectives on the impact of early experiences on health in old age, where unfortunate childhood experiences can alter an individual's health trajectory. This study aims to calculate the healthy life expectancy of the older population in China under different childhood experiences, and to explore the influence of childhood medical and health services on the health level of older adults. Methods: Differences in healthy life expectancy of the older population under different childhood experiences were analyzed using the multi-state life table method to calculate the healthy life expectancy by sex and place of birth, based on the cohort data of Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2008 to 2018. Results: The probability of the transition risk from health to non-health gradually increased with age, while the probability of the transition risk from non-health to health decreased with age; In both urban and rural areas, on the probability of the transition risk from health to non-health, the older adults who were able to receive timely medical and health services in childhood were lower than those who failed to receive medical services in time (Z = -5.833, P < 0.05), but the probability of the transition risk from non-health to health was the opposite (Z = -5.334, P < 0.05); The probability of the transition risk from health to death is also higher in older adults who were unable to receive timely medical care in childhood (Z = -5.88, P < 0.05); The healthy life expectancy and its proportion in the remaining life expectancy of older people who received medical and health services in time during childhood were significantly higher than those of their peers (Z = -5.88, P < 0.05). Conclusions: The lack of medical services in childhood has a negative effect on the health of older adults. The healthy life expectancy and its proportion of remaining life expectancy were higher for rural older adults than for urban older adults under the same health care conditions in childhood; the health benefits of good access to health care environment or conditions in childhood were greater for rural older females.

A growing divide: Trends in social inequalities in healthy longevity in Australia, 2001-20.

This study examines two decades of change in social inequalities in life and health expectancy among older adults in Australia, one of the few countries that escaped an economic recession during the global financial crisis. We compare adults aged 45+ across three measures of individual socio-economic position-education, occupation, and household wealth-and use multistate life tables to estimate total life expectancy (TLE) and life expectancy free of limiting long-term illness (LLTI-free LE) based on 20 waves of the Household, Income and Labour Dynamics in Australia Survey (2001-20). Our findings highlight substantial social disparities in both TLE and LLTI-free LE in Australia. Grouping individuals by household wealth shows striking differentials in LLTI-free LE. We observe widening social disparities in healthy longevity over time by all three measures of socio-economic position. This diverging trend in healthy longevity is troubling against the backdrop of widening income and wealth inequalities in Australia.

Life expectancy and healthy life expectancy of Korean registered disabled by disability type in 2014-2018: Korea National Rehabilitation Center database.

BACKGROUND: Conducting a distinct comparison between the life expectancy (LE) and healthy life expectancy (HALE) of people with disabilities (PWDs) and the general population is necessary due to the various environmental and health conditions they encounter. Therefore, this study aimed to develop the life table for PWDs and calculate those of LE and HALE based on sex, severity, and disability types among the registered Korean PWDs. METHODS: We used aggregated data of registered PWDs from the Korea National Rehabilitation Center database between 2014 and 2018. Overall, 345,595 deaths were included among 12,627,428 registered PWDs. First, we calculated the LE for total PWDs and non-disabled people using a standard life table, extending the old age mortality among nine models. Subsequently, we calculated the LE for each type of disability using the relationship between the mortality of total PWDs and those of each type of disability. Finally, HALE was calculated using the Sullivan method for three types as follows: disability-free and perceived health (PH) using the National Survey, and hospitalized for ≥ 7 days using the Korea National Health Insurance System (NHIS) database. RESULTS: The calculated LE/HALE-NHIS (years) at registration in males and females were 81.32/73.32 and 87.38/75.58, 68.54/58.98 and 71.43/59.24, 73.87/65.43 and 78.25/67.51, and 61.53/50.48 and 62.41/49.72 years among non-disabled, total PWDs, mild disabled, and severe disabled, respectively. LE/HALE-NHIS was lowest and highest in respiratory dysfunction and hearing disabilities, respectively. CONCLUSIONS: Males with disabilities had shorter LE and HALE at registration than females, except for those with severe disabilities, and there were variabilities in the LE based on the disability types.

Exploration of the Relationships between Men's Healthy Life Expectancy in Japan and Regional Variables by Integrating Statistical Learning Methods.

A quantitative understanding of the relationship between comprehensive health levels, such as healthy life expectancy and their related factors, through a highly explanatory model is important in both health research and health policy making. In this study, we developed a regression model that combines multiple linear regression and a random forest model, exploring the relationship between men's healthy life expectancy in Japan and regional variables from open sources at the city level as an illustrative case. Optimization of node-splitting in each decision tree was based on the total mean-squared error of multiple regression models in binary-split child nodes. Variations of standardized partial regression coefficients for each city were obtained as the ensemble of multiple trees and visualized on scatter plots. By considering them, interaction terms with piecewise linear functions were exploratorily introduced into a final multiple regression model. The plots showed that the relationship between the healthy life expectancy and the explanatory variables could differ depending on the cities' characteristics. The procedure implemented here was suggested as a useful exploratory method for flexibly implementing interactions in multiple regression models while maintaining interpretability.

The socioeconomic distribution of life expectancy and healthy life expectancy in Chile.

BACKGROUND: Life expectancy (LE) has usually been used as a metric to monitor population health. In the last few years, metrics such as Quality-Adjusted-Life-Expectancy (QALE) and Health-Adjusted-Life- Expectancy (HALE) have gained popularity in health research, given their capacity to capture health related quality of life, providing a more comprehensive approach to the health concept. We aimed to estimate the distribution of the LE, QALEs and HALEs across Socioeconomic Status in the Chilean population. METHODS: Based on life tables constructed using Chiang II´s method, we estimated the LE of the population in Chile by age strata. Probabilities of dying were estimated from mortality data obtained from national registries. Then, life tables were stratified into five socioeconomic quintiles, based on age-adjusted years of education (pre-school, early years to year 1, primary level, secondary level, technical or university). Quality weights (utilities) were estimated for age strata and SES, using the National Health Survey (ENS 2017). Utilities were calculated using the EQ-5D data of the ENS 2017 and the validated value set for Chile. We applied Sullivan´s method to adjust years lived and convert them into QALEs and HALEs. RESULTS: LE at birth for Chile was estimated in 80.4 years, which is consistent with demographic national data. QALE and HALE at birth were 69.8 and 62.4 respectively. Men are expected to live 6.1% less than women. However, this trend is reversed when looking at QALEs and HALEs, indicating the concentration of higher morbidity in women compared to men. The distribution of all these metrics across SES showed a clear gradient in favour of a better-off population-based on education quintiles. The absolute and relative gaps between the lowest and highest quintile were 15.24 years and 1.21 for LE; 18.57 HALYs and 1.38 for HALEs; and 21.92 QALYs and 1.41 for QALEs. More pronounced gradients and higher gaps were observed at younger age intervals. CONCLUSION: The distribution of LE, QALE and HALEs in Chile shows a clear gradient favouring better-off populations that decreases over people´s lives. Differences in LE favouring women contrast with differences in HALEs and QALEs which favour men, suggesting the need of implementing gender-focused policies to address the case-mix complexity. The magnitude of inequalities is greater than in other high-income countries and can be explained by structural social inequalities and inequalities in access to healthcare.

Nativity in the healthy migrant effect: Evidence from Australia.

Migrant health constitutes an important public health issue; however, variations in the 'healthy migrant effect' among migrants of different nativity are not adequately understood. To fill this gap, this study examines the life expectancy (LE) and healthy life expectancy (HLE) of the Australian-born population and eight major migrant groups in Australia for 2006, 2011 and 2016. The results show that compared with the Australian-born population, the foreign-born population overall had a higher LE and HLE but a lower HLE/LE ratio. Considerable variations in migrant health status according to nativity were also observed. Specifically, migrants from South Africa, Britain and Germany exhibited a similar or higher LE, HLE and HLE/LE ratio, while those from China, India, Italy and Greece had a higher LE but a significantly lower HLE/LE ratio compared with the Australian-born population. Lebanese migrants were the only group who experienced an unchanging LE and a declining HLE from 2006 to 2016. These notable differences in migrants' health outcomes with respect to nativity may be explained by the sociocultural differences between the origin and host countries and the different extents of migration selectivity of different migrant groups. Targeted countermeasures such as improving the quality of life of migrants from culturally diverse backgrounds or with negative migration experiences are suggested.

Geriatric symptoms associated with healthy life expectancy in older people in Japan.

BACKGROUND: We investigated the relationship between characteristic geriatric symptoms and healthy life expectancy in older adults in Japan. Additionally, we determined relationship predictors that would help formulate effective approaches toward promoting healthy life expectancy. METHODS: The Kihon Checklist was used to identify older people at high risk of requiring nursing care in the near future. We evaluated the association of geriatric symptoms with healthy life expectancy while considering risk factors (frailty, poor motor function, poor nutrition, poor oral function, confinement, poor cognitive function, and depression). Data from the 2013 and 2019 Japan Gerontological Evaluation Studies were used. Healthy life expectancy was assessed using the multistate life table method. RESULTS: Overall, 8,956 individuals were included. For both men and women, healthy life expectancy was shorter in the symptomatic group than in the asymptomatic group for several domains of the Kihon Checklist. For men, the difference between individuals with risk factors and those with no risk factors was the maximum for confinement (3.83 years) and the minimum for cognitive function (1.51 years). For women, the difference between individuals with risk factors and those with no risk factors was the maximum for frailty (4.21 years) and the minimum for cognitive function (1.67 years). Healthy life expectancy tended to be shorter when the number of risk factors was higher. Specifically, the difference between individuals with ≥3 risk factors and those with no risk factors was 4.46 years for men and 5.68 years for women. CONCLUSIONS: Healthy life expectancy was negatively associated with characteristic geriatric symptoms, with strong associations with frailty, physical functional decline, and depression. Therefore, comprehensive assessment and prevention of geriatric symptoms may increase healthy life expectancy.

[Association between social participation and frailty among older adults: A longitudinal study from Japan Gerontological Evaluation Study].

Objective　In Japan, measures to prevent frailty among older adults have been implemented. Promotion of social participation is a key measure, but few longitudinal studies have examined the relationship between the types and number of social participation and frailty onset. In this study, we aimed to clarify the relationship between the types and number of social participation and frailty onset using longitudinal data from a large sample of older adults in municipalities in Japan.Methods　We used the 2016 and 2019 panel survey data from the Japan Gerontological Evaluation Study (JAGES). The analysis included 59,545 individuals from 28 municipalities who responded to the JAGES survey in both 2016 (at baseline) and 2019 (at follow-up). We excluded individuals who were dependent on activities of daily living at baseline and non-responders, and those who were frail or with no information about frailty. The dependent variable was frailty onset (≥8 out of 25 points on the basic checklist) at follow-up, and the independent variables were the types and number of types of social participation at baseline. We included 11 variables as potential confounders. We used multiple imputations to complete the missing values and used modified Poisson regression to examine the association between social participation and risk of frailty onset.Results　Of the 59,545 participants, 6,431 (10.8%) were frail onset at follow-up. After multiple imputations (minimum 64,212, maximum 64,287), the risk of frailty onset at follow-up was lower for eight types of social participation, excluding senior citizens' clubs, (nursing care [risk ratio; 0.91], paid work [0.90], volunteer groups [0.87], neighborhood associations [0.87], learning or cultural groups [0.87], activities intended to teach skills or pass experiences to others [0.85], hobby groups [0.81], and sports groups or clubs [0.80]; P<0.05), than no social participation. Additionally, individuals who participated in more types of social participation were at a lower risk of frailty than those with no social participation (P for trend <0.001).Conclusions　The risk of frailty onset was lower among individuals who participated in eight types of social participation at baseline and among those who participated in more types of social participation than those with no social participation. The results suggest that social participation is a useful measure to prevent frailty for extending healthy life expectancy.

Association between psychological distress and disability-free life expectancy in the older Japanese adults.

BACKGROUND: Our study aimed to investigate the association between psychological distress and disability-free life expectancy (DFLE). METHODS: In 2006, a cohort study was conducted of 12,365 Japanese individuals aged ≥65 years, who were followed-up for 13 years. Psychological distress was measured using the Kessler 6-item psychological distress scale and was categorized into no (0-4), mild (5-9), moderate (10-12), and serious distress (13-24). The number of participants was 1277 (22.4 %) for mild distress, 330 (5.8 %) for moderate, and 208 (3.6 %) for serious in men, and was 1635 (24.6 %), 467 (7.0 %), and 384 (5.8 %) in women. Sex-specific DFLE was defined as the mean years a person could expect to live without disability and calculated by Interpolated Markov Chain (IMaCh) software. RESULTS: Compared to no distress, DFLE loss per person was 1.21, 2.61, and 4.43 years for mild, moderate, and serious distress respectively in men. At population level, DFEL loss (i.e., DFLE loss per person×number of participants) was 1545.17, 861.30, and 921.44 years for mild, moderate, and serious distress respectively in men. Accordingly, 46.4 % of the total DFLE loss was attributable to mild distress, 25.9 % to moderate, and 27.7 % to serious in men. Similarly, the results were 42.2 %, 25.4 %, and 32.4 % in women. LIMITATIONS: Psychological distress was measured only once at baseline, and 2409 participants were excluded from the analysis because of missing data on exposure. CONCLUSIONS: At population level, almost half of the total DFLE loss could be attributable to mild distress, underscoring the importance of population strategy for all levels of distress in promoting healthy aging.

Effects of family multi-generational relationship on multimorbidity and healthy life expectancy for second generations: insight from the China Health and Retirement Longitudinal Study.

OBJECTIVE: In the context of aging, Chinese families consisting of more than three generations (grandparents, parents, children) are the norm. The second generation (parents) and other family members may establish a downward (contact only with children) or two-way multi-generational relationship (contact with children and grandparents). These multi-generational relationships may have the potential effect on multimorbidity burden and healthy life expectancy in the second generation, but less is known about the direction and intensity of this effect. This study aims to explore this potential effect. METHODS: We obtained longitudinal data from the China Health and Retirement Longitudinal Study from 2011 to 2018, which included 6,768 people. Cox proportional hazards regression was used to assess the association between multi-generational relationships and the number of multimorbidity. The Markov multi-state transition model was used to analyze the relationship between multi-generational relationships and the severity of multimorbidity. The multistate life table was used to calculate healthy life expectancy for different multi-generational relationships. RESULTS: The risk of multimorbidity in two-way multi-generational relationship was 0.830 (95% CIs: 0.715, 0.963) times higher than that in downward multi-generational relationship. For mild multimorbidity burden, downward and two-way multi-generational relationship may prevent aggravation of burden. For severe multimorbidity burden, two-way multi-generational relationship may aggravate the burden. Compared with two-way multi-generational relationship, the second generations with downward multi-generational relationship has a higher healthy life expectancy at all ages. CONCLUSION: In Chinese families with more than three generations, the second generations with severe multimorbidity burden may aggravate the condition by providing support to elderly grandparents, and the support provided by offspring to the second generations plays a vital positive role in improving the quality of life and narrowing the gap between healthy life expectancy and life expectancy.

Life expectancy and healthy life expectancy of patients with advanced schistosomiasis in Hunan Province, China.

BACKGROUND: Few studies have investigated the change in life expectancy (LE) and the healthy lifespan among patients with advanced schistosomiasis. This study was to evaluate the LE and healthy life expectancy (HLE) for patients and assess the mechanism responsible for the LE inequality. METHODS: We utilized data from a dynamic advanced schistosomiasis cohort (10,362 patients) for the period from January 2008 to December 2019 in Hunan Province, China, to calculate the LEs of patients, and made a comparison with that of general population (19,642 schistosomiasis-free individuals) in the schistosomiasis endemic areas. LEs were estimated from 15 years of age by constructing period life tables. Arriaga's decomposition method was applied to quantify the influence of the age structure on the difference in LE. HLE for advanced schistosomiasis patients was calculated by using Sullivan method with age-specific disability weight. The LE and HLE were calculated for both males and females to perform further analyses on gender gap. RESULTS: The estimated LE for advanced schistosomiasis patients aged 15-19 was 49.51 years (48.86 years for males and 51.07 years for females), which was 20.14 years lower compared with general population (69.65 years), and the LE gap between patients and general population decreased with age. The largest age-specific mortality contribution to the gap (32.06%) occurred at age 80-84 years. Women had a lower LE and HLE than men at age ≥ 60 years (both gender gaps in LE and HLE < 0). For advanced schistosomiasis patients, the gender gap in LE was largely attributed to the difference in mortality among those under the age of 55; the age-specific mortality in women exerted positive influence on the gap at age 25-64 and 75-79 years, with the contribution rate ranging from 0.59% to 57.02%, and made the negative contribution at other age groups. CONCLUSIONS: The LE of advanced schistosomiasis patients was still much lower compared with general population. Strengthened prevention strategies and targeted treatments are needed to reduce morbidity and mortality due to advanced schistosomiasis, especially for younger population and elderly female patients.

Multi-country clustering-based forecasting of healthy life expectancy.

Healthy life expectancy (HLE) is an indicator that measures the number of years individuals at a given age are expected to live free of disease or disability. HLE forecasting is essential for planning the provision of health care to elderly populations and appropriately pricing Long Term Care insurance products. In this paper, we propose a methodology that simultaneously forecasts HLE for groups of countries and allows for investigating similarities in their HLE patterns. We firstly apply a functional data clustering to the multivariate time series of HLE at birth of different countries for the years 1990-2019 provided by the Global Burden of Disease Study. Three clusters are identified for both genders. Then, we carry out the HLE simultaneous forecasting of the populations within each cluster by a multivariate random walk with drift. Numerical results and the statistical significance of the parameters of the identified multivariate processes are shown. Demographic evidences on the different evolution of HLE between countries are commented.