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

2014 ◽  
Vol 35 (5) ◽  
pp. 1075-1094 ◽  
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.

scholarly journals Gender difference in trends in healthy life expectancy in 2005-2012 for adults aged 50 years and older in South Africa

2019 ◽  
Vol 4 (2) ◽  
pp. 12 ◽  
Author(s):  
Witness Chirinda ◽  
Yasuhiko Saito ◽  
Danan Gu ◽  
Nompumelelo Zungu
Keyword(s):  
South Africa ◽  
Life Expectancy ◽  
Older People ◽  
Good Health ◽  
Gender Disparities ◽  
Healthy Life Expectancy ◽  
Cross Sectional ◽  
Healthy Life ◽  
Fiscal Planning ◽  
Using Data

Data characterizing older people’s life expectancy by good or poor health isimportant for policy and fiscal planning. This study aims to examine trends and investigategender differences in healthy life expectancy (HLE) for older people in South Africa for theperiod 2005–2012. Using data from three repeated cross-sectional surveys conducted in 2005,2008, and 2012, we applied a self-rated health measure to estimating HLE. The Sullivanmethod was used in the calculations. We found that unhealthy life expectancy decreased overthe period, while HLE and the proportion of life spent in good health increased more thantotal life expectancy in the same period. Gender disparities were evident: Women had higherlife expectancy than men, yet they spent a greater proportion of their lifetime in poor health.We concluded that HLE of older people in South Africa has improved over the period underinvestigation.

Decennial trends and inequalities in healthy life expectancy: The HUNT Study, Norway

2017 ◽  
Vol 46 (1) ◽  
pp. 124-131 ◽  
Author(s):  
Siri H. Storeng ◽  
Steinar Krokstad ◽  
Steinar Westin ◽  
Erik R. Sund
Keyword(s):  
Life Expectancy ◽  
Good Health ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Self Rated Health ◽  
Total Life Expectancy ◽  
Life Years ◽  
Educational Groups ◽  
Hunt Study ◽  
Total Life

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.

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.

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.

Sex differences in healthy life expectancy from self-perceived assessments of health in the City of São Paulo, Brazil

2008 ◽  
Vol 28 (1) ◽  
pp. 35-48 ◽  
Author(s):  
MIRELA CASTRO SANTOS CAMARGOS ◽  
CARLA JORGE MACHADO ◽  
ROBERTO NASCIMENTO RODRIGUES
Keyword(s):  
Life Expectancy ◽  
Multivariate Analyses ◽  
Perceived Health ◽  
Good Health ◽  
Sao Paulo ◽  
Healthy Life Expectancy ◽  
São Paulo ◽  
Healthy Life ◽  
Healthy State ◽  
The City

ABSTRACTWhether life is spent in good health or disability has a critical influence on the use of health-care services. It is also known that average healthy life expectancy differs by sex. This paper reports estimations of healthy and unhealthy life expectancy in old age using self-reported health assessments for the City of São Paulo, Brazil in 2000–01. The data derived from the Health, Well-being and Aging in Latin America and the Caribbean Project (SABE), and from population censuses and mortality statistics. Sullivan's estimation method was used. It combines the age-specific schedule of the current probabilities of death with the prevalence of self-perceived ‘poor’ and ‘good’ health. The paper also reports multivariate analyses of the factors associated with variations by age group and sex in self-perceived health. The findings revealed that, at all ages, women live longer than men and for more years in a healthy state. Among men, those aged 60, 65 and 70 years were expected to live a higher percentage of their remaining life than women in a healthy state, but among those aged 75, 80 and 85 years, the opposite held. Among women, the percentage of remaining years that were unhealthy did not increase as age increased, which differs from previous findings. The multivariate analyses showed that with increasing age, for women the number of chronic diseases decreased but dependency increased, and for men the opposite held. This finding indicated that the percentage of life spent in poor self-perceived health more accurately predicts mortality in men than women.

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 Healthy life expectancy by frailty state in Europe from 2004 to 2015: findings from SHARE

2021 ◽  
Author(s):  
Camilla Riis Nielsen ◽  
Linda Juel Ahrenfeldt ◽  
Bernard Jeune ◽  
Kaare Christensen ◽  
Rune Lindahl-Jacobsen
Keyword(s):  
Life Expectancy ◽  
Health Sector ◽  
European Countries ◽  
Healthy Life Expectancy ◽  
Remaining Life ◽  
Healthy Life ◽  
Frailty Status ◽  
Remaining Life Expectancy ◽  
Sullivan Method ◽  
Share Information

Abstract Background As populations age, the possible consequences of increased frailty are a major concern for the health sector. Here, we investigate how life expectancy with and without frailty has changed during a 10–11-year-period across Europe. Methods The Sullivan method was used to investigate changes in life expectancy with and without frailty in 10 European countries. Frailty status (non-frail, pre-frail and frail) was determined by use of the Survey of Health, Ageing and Retirement in Europe Frailty Instrument (SHARE-FI). Data on frailty prevalence was obtained from 21 698 individuals in wave 1 (2004–05) and 38 859 individuals in wave 6 (2015) of the SHARE. Information on mortality was obtained from the Eurostat Database. Results In 2015, women aged 70 spent 25.0% (95% CI: 24.0–26.1) of their remaining life expectancy in a frail state, and the number for men was 11.5% (95% CI: 10.7–12.3). Southern Europeans spent 24.2% (95% CI: 22.9–25.4) of their remaining life expectancy in a frail state and the numbers for Central Europeans and Northern Europeans were 17.0% (95% CI: 16.0–17.9) and 12.2% (95% CI: 10.9–13.5), respectively. From 2004–05 to 2015, life expectancy increased by 1.1 years (from 15.3 to 16.4 years) for 70-year-old Europeans. Similarly, non-frail life expectancy increased by 1.1 years (95% CI: 0.8–1.4), whereas no significant changes in life expectancy in frail states were observed. Conclusions This study suggests that Europeans today spend more years in a non-frail state than Europeans did 10–11 years ago. Our findings reflect a considerable inequality by gender and region.

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