The effects of socioeconomic status on healthy life expectancy among different age groups of Japanese suburban elderly

2017 ◽  
pp. 1-14
Author(s):  
Suwen Yang
Keyword(s):  
Socioeconomic Status ◽  
Life Expectancy ◽  
Age Groups ◽  
Healthy Life Expectancy ◽  
Healthy Life

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 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.

scholarly journals JUSTIFICATION OF METHODOLOGICAL APPROACHES TO STUDIES OF HEALTHY LIFE EXPECTANCY IN PERSONS OVER WORKING AGE

2021 ◽  
Vol 14 (3) ◽  
pp. 7-12
Author(s):  
DAMIR A. GALIULLIN ◽  
◽  
NURIKHAN N. SHAMSIYAROV ◽  
ENDZHE A. KITAEVA ◽  
AFGAT N. GALIULLIN ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Age Groups ◽  
Older Age ◽  
Healthy Life Expectancy ◽  
Current Interest ◽  
Healthy Life ◽  
Working Age ◽  
Methodological Approaches

In recent years, our country has begun to pay certain attention to the issues of healthy life expectancy. However, there are practically no publications devoted to the study of healthy life expectancy (hereinafter referred to as HLE) in older age groups. In view of this, the study of healthy life expectancy in persons older than working age is of current interest.

scholarly journals Can We Really (All) Work Longer?Trends in Healthy Life Expectancy According to Social Stratum in Germany

2013 ◽  
Vol 38 (3) ◽  
Author(s):  
Rainer Unger ◽  
Alexander Schulze
Keyword(s):  
Life Expectancy ◽  
Panel Study ◽  
Age Groups ◽  
Healthy Life Expectancy ◽  
Retirement Age ◽  
Social Differences ◽  
Healthy Life ◽  
Social Stratum ◽  
Political Objective ◽  
Health Assets

Against the background of raising the retirement age to 67 years and the associated lengthening of working lifetimes in higher age groups, this article examines the question of the extent to which this political objective is covered by the health assets of the population. Here, we will first trace trends in “healthy” life expectancy among the total population for different points in time 1989, 1999 and 2009 on the basis of the data from the Socio-Economic Panel Study (SOEP) and analyse these against the background of social strata indicators such as income and educational levels. Among others, one significant result is the fact that social differences have a far greater effect on healthy life expectancy than on general life expectancy and that these differences increase further over the course of time. This effect can be found particularly in men. One mandatory uniform working lifetime for all persons would however not do justice to these findings of socially highly unequally distributed life opportunities. Instead, the findings support a flexible arrangement of retirement age limits.

scholarly journals Inequalities in healthy life expectancy by Federated States

2017 ◽  
Vol 51 (suppl 1) ◽  
Author(s):  
Célia Landmann Szwarcwald ◽  
Dália Elena Romero Montilla ◽  
Aline Pinto Marques ◽  
Giseli Nogueira Damacena ◽  
Wanessa da Silva de Almeida ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Life Expectancy ◽  
Noncommunicable Disease ◽  
Healthy Life Expectancy ◽  
Spatial Gradient ◽  
Angular Coefficient ◽  
Self Assessment ◽  
Healthy Life ◽  
Inequality Measures ◽  
Geographical Inequalities

ABSTRACT OBJECTIVES To estimate the healthy life expectancy at 60 years by sex and Federated States and to investigate geographical inequalities by socioeconomic status. METHODS Healthy life expectancy was estimated by the Sullivan method, based on the information of the National Survey on Health, 2013. Three criteria were adopted for the definition of “unhealthy state”: self-assessment of bad health, functionality for performing the activities of daily living, and the presence of noncommunicable disease with intense degree of limitation. The indicator of socioeconomic status was built based on the number of goods at household and educational level of the head of household. To analyze the geographical inequalities and socioeconomic level, inequality measures were calculated, such as the ratio, the difference, and the angular coefficient. RESULTS Healthy life expectancy among men ranged from 13.8 (Alagoas) to 20.9 (Espírito Santo) for the self-assessment criterion of bad health. Among women, the corresponding estimates were always higher and ranged from 14.9 (Maranhão) to 22.2 (São Paulo). As to the ratio of inequality by Federated State, the medians were always higher for healthy life expectancy than for life expectancy, regardless of the definition adopted for healthy state. Regarding the differences per Federated State, the healthy life expectancy was seven years higher in one state than in another. By socioeconomic status, differences of three and four years were found, approximately, between the last and first fifth, for men and women, respectively. CONCLUSIONS Despite the association of the mortality indicators with living conditions, the inequalities are even more pronounced when the welfare and the limitations in usual activities are considered, showing the necessity to promote actions and programs to reduce the socio-spatial gradient.

DIAGNOSTICS OF THE CURRENT STATE OF HEALTHCARE IN RUSSIA

2020 ◽  
Vol 15 (5) ◽  
pp. 35-55
Author(s):  
N.P. STARYKH ◽  
◽  
A.V. EGOROVA ◽  
Keyword(s):  
Health Care ◽  
Life Expectancy ◽  
Statistical Data ◽  
Secondary Analysis ◽  
World Health ◽  
Healthy Life Expectancy ◽  
Federal State ◽  
Sociological Research ◽  
Healthy Life ◽  
Current State

The purpose of the article is to analyze the current state of healthcare in Russia. Scientific novelty of the study: the authors suggest that the efficiency of the health care system depends on the state of such indicators of public health as life expectancy and healthy life expectancy. Life expectancy is an integrated demographic indicator that characterizes the number of years that a person would live on average, provided that the age-specific mortality rate of a generation would be at the level for which the indicator was calculated throughout life. The indicator ‘healthy life expectancy’ is formed by subtracting the number of years of unhealthy life (due to chronic diseases, disabilities, mental and behavioral disorders, etc.) from the life expectancy indicator. Results: the article presents an analysis of the current state of Russian healthcare based on statistical data provided by the Federal State Statistics Service, the World Health Organization, and world rankings. Attention is focused on the perceptions of Russians about the quality of medical services and Russian healthcare. Conclusions about the current state of health care in Russia are formulated by the authors, based on a secondary analysis of statistical data, as well as data from sociological research presented by leading Russian sociological centers.

scholarly journals Changing Educational Gradients in Life Expectancy With and Without Disease Among U.S. Older Adults From 2000 to 2010

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 505-505
Author(s):  
Matthew Farina ◽  
Phillip Cantu ◽  
Mark Hayward
Keyword(s):  
Older Adults ◽  
Life Expectancy ◽  
Chronic Diseases ◽  
Population Aging ◽  
Good Health ◽  
Vital Statistics ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Education Group ◽  
Education Groups

Abstract Recent research has documented increasing education inequality in life expectancy among U.S. adults; however, much is unknown about other health status changes. The objective of study is to assess how healthy and unhealthy life expectancies, as classified by common chronic diseases, has changed for older adults across education groups. Data come from the Health and Retirement Study and National Vital Statistics. We created prevalence-based life tables using the Sullivan method to assess sex-specific life expectancies for stroke, heart disease, cancer, and arthritis by education group. In general, unhealthy life expectancy increased with each condition across education groups. However, the increases in unhealthy life expectancy varied greatly. While stroke increased by half a year across education groups, life expectancy with diabetes increased by 3 to 4 years. In contrast, the evidence for healthy life expectancy provides mixed results. Across chronic diseases, healthy life expectancy decreased by 1 to 3 years for respondents without a 4-year degree. Conversely, healthy life expectancy increased for the college educated by .5 to 3 years. While previous research shows increases in life expectancy for the most educated, trends in life expectancy with chronic conditions is less positive: not all additional years are in lived in good health. In addition to documenting life expectancy changes across education groups, research assessing health of older adults should consider the changing inequality across a variety of health conditions, which will have broad implications for population aging and policy intervention.

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