scholarly journals Trends of Healthy Life Expectancy of the Elderly in China in 1994–2015: Revisiting From the Perspective of Morbidity Transition

2022 ◽  
Vol 9 ◽  
Author(s):  
Zhen Zhang ◽  
Junhan Dong ◽  
Chenyuan Zhao ◽  
Qiang Li
Keyword(s):  
Life Expectancy ◽  
Dynamic Equilibrium ◽  
The Elderly ◽  
Underlying Mechanism ◽  
Healthy Life Expectancy ◽  
Health Improvement ◽  
Healthy Life ◽  
Disability Free Life Expectancy ◽  
Sullivan Method

Research on healthy life expectancy (HLE) in China has been fueled by a spate of new data sources and studies, yet no consensus is reached on the pattern of HLE changes and the underlying mechanism. This study examined the change of HLE in China over 20 years with long term national data. Health status, measured by activities of daily living, is combined with mortality to calculate the disability-free life expectancy by the Sullivan method. The results show that the HLE rose slower than life expectancy (LE) in 1994–2004, indicating morbidity expansion. However, in 2010–2015, the proportion of HLE to LE increased, manifesting morbidity compression. A counterfactual analysis further shows that health improvement has been increasingly important in increasing HLE in 2010–2015, despite the dominance of mortality decline. The findings suggest that morbidity can transition between compression, expansion and dynamic equilibrium over a long period due to different combinations of mortality and health improvements. Given the limited data in this study, whether and how morbidity transitions unfold in the future remains open and requires further research.

scholarly journals Inequality of healthy life expectancy for the Chinese elderly and its trend

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Kaishan Jiao
Keyword(s):  
Socioeconomic Status ◽  
Life Expectancy ◽  
Cohort Effect ◽  
The Elderly ◽  
Healthy Life Expectancy ◽  
Birth Cohorts ◽  
Healthy Life ◽  
Long Term Follow Up

AbstractIn this study, we use long-term follow-up survey data to explore the inequality of the healthy life expectancy among the elderly and the trends of such expectancy among different birth cohorts and at different ages. The results show that older people with higher socioeconomic status do not have a significant advantage in healthy life expectancy. Its advantage in life expectancy is mainly due to the relatively low mortality rate under conditions of disability, i.e., the relatively long life expectancy with disability. This also shows that the elderly with higher socioeconomic status is at the stage of disability expansion. In addition, the study examines the age effect and cohort effect of health inequality and points out that health inequalities among different socioeconomic status groups are likely to increase in the future.

scholarly journals Healthy life expectancy vs health expenditure by sullivan method in Malaysia

2019 ◽  
Vol 14 (1) ◽  
pp. 402 ◽  
Author(s):  
Muhammad Hakeem Omar ◽  
Nurin Haniah Asmuni ◽  
Sharifah Nazatul Shima
Keyword(s):  
Life Expectancy ◽  
Health Expenditure ◽  
Healthy Life Expectancy ◽  
Morbidity Rate ◽  
Healthy Life ◽  
Mortality And Morbidity ◽  
Malaysian Population ◽  
United State ◽  
Disability Free Life Expectancy ◽  
Sullivan Method

<span lang="EN-MY">The improvement of mortality rates in many countries over the world has a major impact on cost associated with living longer due to mortality and morbidity risk. In particular, the trend in life expectancy of Malaysian population has steadily increased for many years where in 2017, Malaysian are expected to live up to 74.8 years compared to 74.3 years in 2011. Life expectancy can be defined as the average period of a person may expect to live, while the definition of disability-free life expectancy is the average number of years a person is expected to live without health disability.  If a person takes a good care and services through the advancement of medical technology, it may expend the period of life expectancy for a person. Thus, longevity may have a positive relationship with health expenditure. United State for instance spends more on health across years, however United State becomes the outlier as compared to other countries with higher percentage of increase in life expectancy per dollar spent on health expenditure. Disability or disability-free life expectancy can rise at certain degree among Malaysian. The general public do not know whether longevity will expose a person to a greater period spend in disability state or not. Therefore, this paper presents healthy life expectancy vs. health expenditure by Sullivan method in Malaysia to provide further understanding of morbidity rate for Malaysian population due to longevity. This paper calculates the disability-free life expectancy for Malaysian population which then will be used in country comparison. Relationship between disability-free life expectancy and health expenditure will be studied. Sullivan method will be applied in the calculation by using a period life table based on age and gender groups.</span>

scholarly journals Dependence- and Disability-Free Life Expectancy Across Eight Low- and Middle-Income Countries: A 10/66 Study

2019 ◽  
Vol 32 (5-6) ◽  
pp. 401-409 ◽  
Author(s):  
A. Matthew Prina ◽  
Yu-Tzu Wu ◽  
Carolina Kralj ◽  
Daisy Acosta ◽  
Isaac Acosta ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Healthy Life Expectancy ◽  
World Population ◽  
Aging Research ◽  
Healthy Life ◽  
Middle Income ◽  
Middle Income Countries ◽  
Disability Free Life Expectancy ◽  
Sullivan Method ◽  
Low And Middle Income

Objective: The objective of this study was to estimate healthy life expectancies in eight low- and middle-income countries (LMICs), using two indicators: disability-free life expectancy (DFLE) and dependence-free life expectancy (DepFLE). Method: Using the Sullivan method, healthy life expectancy was calculated based on the prevalence of dependence and disability from the 10/66 cohort study, which included 16,990 people aged 65 or above in China, Cuba, Dominican Republic, India, Mexico, Peru, Puerto Rico, and Venezuela, and country-specific life tables from the World Population Prospects 2017. Results: DFLE and DepFLE declined with older age across all sites and were higher in women than men. Mexico reported the highest DFLE at age 65 for men (15.4, SE = 0.5) and women (16.5, SE = 0.4), whereas India had the lowest with (11.5, SE = 0.3) in men and women (11.7, SE = 0.4). Discussion: Healthy life expectancy based on disability and dependency can be a critical indicator for aging research and policy planning in LMICs.

scholarly journals Healthy life expectancy in Brazil: applying the Sullivan method

2005 ◽  
Vol 21 (suppl 1) ◽  
pp. S7-S18 ◽  
Author(s):  
Dalia Elena Romero ◽  
Iúri da Costa Leite ◽  
Célia Landmann Szwarcwald
Keyword(s):  
Life Expectancy ◽  
Functional Limitation ◽  
Good Health ◽  
World Health ◽  
Healthy Life Expectancy ◽  
State Of Health ◽  
World Health Survey ◽  
Healthy Life ◽  
Mortality And Morbidity ◽  
Sullivan Method

The objective of this study is to present the method proposed by Sullivan and to estimate the healthy life expectancy using different measures of state of health, based on information from the World Health Survey carried out in Brazil in 2003. By combining information on mortality and morbidity into a unique indicator, simple to calculate and easy to interpret, the Sullivan method is currently the one most commonly used for estimating healthy life expectancy. The results show higher number of healthy years lost if there is a long-term disease or disability that limits daily activities, regardless of the difficulty in performing such activities or the severity of the functional limitations. The two measures of healthy life expectancy adjusted by the severity of functional limitation show results very similar to estimates based on the perception of state of health, especially in advanced age. It was also observed, for all measures used, that the proportion of healthy years lost increases significantly with age and that, although females have higher life expectancy than males, they live proportionally less years in good health.

scholarly journals Comparing the differences in three measures of healthy life expectancy among prefectures in Japan.

2020 ◽  
Author(s):  
KAZUYA TAIRA ◽  
Soshiro Ogata ◽  
Kei Kamide
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Open Data ◽  
The Other ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Independent Variables ◽  
Dependent Variables ◽  
Disability Free Life Expectancy ◽  
Government Statistics

Abstract Objective: An ecological study using secondary open data from Japanese government statistics was conducted. The study aimed to verify differences in three measures of healthy life expectancy (HLE); namely, disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN).Results: Each HLE from 47 prefectures in 2010, 2013, and 2016 was extended over time. There were strong Cronbach’s coefficient alpha (α) between DFLE-AL and LE-SH (Minimum α; 0.80, Maximum α;0.90) as well as between LE and DFLE-CN (Minimum α; 0.92, Maximum α; 0.99) in both sexes in every data year. However, the other pairs had weaker associations. In regression analysis with each HLE as a dependent variable and aging rate, mortality, the proportion of unhealthy people as independent variables, the subjective unhealthy rate had significant standardized partial regression coefficients (β) in models with DFLE-AL and LE-SH as dependent variables (Minimum β; -0.56, Maximum β; -0.34). Therefore, DFLE-CN tended to differ from the other HLEs. The subjective unhealthy rate had a significant influence on DFLE-AL and LE-SH.

scholarly journals Multi-State Analysis of the Impact of Childhood Starvation on the Healthy Life Expectancy of the Elderly in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Huiling Dong ◽  
Chunjing Du ◽  
Bingyi Wu ◽  
Qunhong Wu
Keyword(s):  
Life Expectancy ◽  
Elderly People ◽  
The Elderly ◽  
Income Level ◽  
Healthy Life Expectancy ◽  
Average Life ◽  
Average Life Expectancy ◽  
Healthy Life ◽  
Significant Difference ◽  
The Impact

Background: Child malnutrition is not only common in developing countries but also an important issue faced by developed countries. This study aimed to explore the influence and degree of childhood starvation on the health of the elderly, which provides a reference for formulating health-related policies under the concept of full lifecycle health.Methods: Based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2008, 2011, and 2014, this study took a total of 13,185 elderly people aged 65–99 years as the target population. By IMaCH software, with gender and income level as the control variables, the average life expectancy and healthy life expectancy of the elderly were measured. The x2test was used to explore the differences in the socioeconomic status of elderly people with or without starvation in childhood. Statistical differences between average life expectancy and healthy life expectancy were analyzed by rank tests.Results: (1) The results showed that there was a statistically significant difference in age, gender, residency, education level, and income level between the groups with or without starvation (P &lt; 0.05). (2) Transition probabilities in health–disability, health–death, and disability–death all showed an upward trend with age (P &lt; 0.05), where the elderly who experienced starvation in childhood were higher than those without such an experience (P &lt; 0.05). However, the probability of disability–health recovery showed a downward trend with age (P &lt; 0.05), in which the elderly who experienced starvation in childhood were lower than those without starvation (P &lt; 0.05). (3) For the elderly who experienced starvation in childhood, the health indicators of the average life expectancy, healthy life expectancy, and healthy life expectancy proportion accounted for the remaining life were lower than those of the elderly without childhood starvation (P &lt; 0.05).Conclusions: The average life expectancy and healthy life expectancy of the elderly with childhood starvation are lower than those without childhood starvation. It shows that the negative impact of childhood starvation on health through the life course till old age has a persistent negative cumulative effect on the quantity and quality of life. Therefore, it is important to pay attention to the nutritional status of children in poor families from the perspective of social policymaking.

scholarly journals Comparing the differences in three measures of healthy life expectancy, effects of mortality, and proportions of unhealthy people according to prefectures in Japan: An Ecological study

2020 ◽  
Author(s):  
KAZUYA TAIRA ◽  
Soshiro Ogata ◽  
Kei Kamide
Keyword(s):  
Life Expectancy ◽  
Ecological Study ◽  
Open Data ◽  
The Other ◽  
Healthy Life Expectancy ◽  
Expectancy Effects ◽  
Healthy Life ◽  
Disability Free Life Expectancy ◽  
Significant Regression ◽  
Using Data

Abstract Objective: An Ecological study using open data collected, compiled, and published in government statistics in Japan was conducted. The study aimed to verify the differences in these three measures of healthy life expectancy (HLE), namely disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN), in relation to appropriate policymaking.Results: Using data from 47 prefectures in 2010, 2013, and 2016, the three types of HLE were extended over time. There were strong correlations between DFLE-AL and LE-SH (r = 0.69–0.83) as well as LE and DFLE-CN (r = 0.75–0.98) in both sexes. However, the other correlations were either weak or not significant. Regression analysis examining the association between the aging rate, mortality, the proportion of unhealthy people, and three types of HLE showed that the “subjective unhealthy rate” was significant (the standardized partial regression coefficients = -0.56– -0.34) in models with DFLE-AL and LE-SH as dependent variables. Therefore, DFLE-CN was suggested to be a different indicator from the other two HLEs. The “subjective unhealthy rate” had a significant influence on the prefectural DFLE-AL and LE-SH.

scholarly journals Healthy Life Expectancies by the Effects of Hypertension and Diabetes for the Middle Aged and Over in Taiwan

2020 ◽  
Vol 17 (12) ◽  
pp. 4390 ◽  
Author(s):  
Chia-Chun Liang ◽  
Wei-Chung Hsu ◽  
Yao-Te Tsai ◽  
Shao-Jen Weng ◽  
Ho-Pang Yang ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Age Groups ◽  
The Elderly ◽  
Health Condition ◽  
Healthy Life Expectancy ◽  
Lower Percentage ◽  
Remaining Life ◽  
Healthy Life ◽  
Control Behavior

(1) Introduction: This study aims to investigate the disparity in the healthy life expectancy of the elderly with hypertension and diabetes mellitus. (2) Materials and Methods: This study used survey data collected in five waves (1996, 1999, 2003, 2007, and 2011) of the “Taiwan Longitudinal Study on Aging” (TLSA) to estimate the life expectancy and healthy life expectancy of different age groups. The activities of daily living, the health condition of hypertension and diabetes and the survival statuses of these cases were analyzed by the IMaCh (Interpolated Markov Chain) and logistic regression model. (3) Results: As regards the elderly between age 50 and 60 with hypertension and diabetes, women with hypertension only exhibited the longest life expectancy, and the healthy life expectancy and the percentage of remaining life with no functional incapacity were 33.74 years and 87.11%, respectively. In contrast, men with diabetes only showed the shortest life expectancy, and the healthy life expectancy and the percentage of remaining life with no functional incapacity were 22.51 years and 93.16%, respectively. We also found that people with diabetes showed a lower percentage of remaining life with no functional incapacity. (4) Conclusions: We suggest that policymakers should pay special attention to publicizing the importance of health control behavior in order to decrease the risk of suffering diseases and to improve the elderly’s quality of life.

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