Healthy life expectancy and the correlates of self-rated health in Bangladesh in 1996 and 2002

Aims: Norway is experiencing a rising life expectancy combined with an increasing dependency ratio – the ratio of those outside over those within the working force. To provide data relevant for future health policy we wanted to study trends in total and healthy life expectancy in a Norwegian population over three decades (1980s, 1990s and 2000s), both overall and across gender and educational groups. Methods: Data were obtained from the HUNT Study, and the Norwegian Educational Database. We calculated total life expectancy and used the Sullivan method to calculate healthy life expectancies based on self-rated health and self-reported longstanding limiting illness. The change in health expectancies was decomposed into mortality and disability effects. Results: During three consecutive decades we found an increase in life expectancy for 30-year-olds (~7 years) and expected lifetime in self-rated good health (~6 years), but time without longstanding limiting illness increased less (1.5 years). Women could expect to live longer than men, but the extra life years for females were spent in poor self-rated health and with longstanding limiting illness. Differences in total life expectancy between educational groups decreased, whereas differences in expected lifetime in self-rated good health and lifetime without longstanding limiting illness increased. Conclusions: The increase in total life expectancy was accompanied by an increasing number of years spent in good self-rated health but more years with longstanding limiting illness. This suggests increasing health care needs for people with chronic diseases, given an increasing number of elderly. Socioeconomic health inequalities remain a challenge for increasing pensioning age.

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Healthy life expectancy and the correlates of self-rated health in an ageing population in Rajshahi district of Bangladesh

Ageing and Society ◽

10.1017/s0144686x14000130 ◽

2014 ◽

Vol 35 (5) ◽

pp. 1075-1094 ◽

Cited By ~ 8

Author(s):

MD. ISMAIL TAREQUE ◽

TOWFIQUA MAHFUZA ISLAM ◽

KAZUO KAWAHARA ◽

MAKIKO SUGAWA ◽

YASUHIKO SAITO

Keyword(s):

Life Expectancy ◽

Older People ◽

Good Health ◽

Healthy Life Expectancy ◽

Ageing Population ◽

Remaining Life ◽

Healthy Life ◽

Scarce Resources ◽

Self Rated Health ◽

Health Decline

ABSTRACTAgeing is going to be a major problem in Bangladesh given its population size, scarce resources, existing poverty, insufficient health facilities and lack of a social security system. This paper examines how many years older people expect to be in good health, and what are the correlates of self-rated health (SRH). The data used in this study come from 896 older people aged 60 years and above from Rajshahi district in Bangladesh and from United Nations’ projected population figures. Results show that individuals at age 60 expected about 41 per cent of their remaining life to be in good health, while individuals at age 80 expected only 21 per cent of their remaining life to be in good health. Having exercised during the six months prior to the survey was the single most important correlate of SRH (odds ratio=5.49; confidence interval 4.03–7.47; without any adjustment). While rural–urban differentials and some health decline in old age are inevitable, four factors (exercise behaviour, sufficiency of income, physical limitations and facing abusive behaviour) are to a certain extent modifiable and therefore provide the potential for improving SRH and healthy life expectancy in Rajshahi district, Bangladesh.

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Do Americans Live Longer and Healthier? Forecasting Healthy Life Expectancy by Including Dynamic Evolutions of Mortality, Health, and Macroeconomic Variables

SSRN Electronic Journal ◽

10.2139/ssrn.2662978 ◽

2014 ◽

Author(s):

Ying Yang ◽

Anja De Waegenaere ◽

Bertrand Melenberg

Keyword(s):

Life Expectancy ◽

Healthy Life Expectancy ◽

Healthy Life ◽

Macroeconomic Variables

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Linking Retirement Age to Life Expectancy Effects on Healthy Life Expectancy Before and After Retirement

SSRN Electronic Journal ◽

10.2139/ssrn.2663085 ◽

2014 ◽

Author(s):

Anja M.B. De Waegenaere ◽

Ying Yang ◽

Bertrand Melenberg

Keyword(s):

Life Expectancy ◽

Healthy Life Expectancy ◽

Retirement Age ◽

Expectancy Effects ◽

Healthy Life ◽

Before And After

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DIAGNOSTICS OF THE CURRENT STATE OF HEALTHCARE IN RUSSIA

Central Russian Journal of Social Sciences ◽

10.22394/2071-2367-2020-15-5-35-55 ◽

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.

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

Innovation in Aging ◽

10.1093/geroni/igaa057.1630 ◽

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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