scholarly journals SOCIAL PARTICIPATION AND HEALTHY LIFE EXPECTANCY OF OLDER PEOPLE IN POOR HEALTH: A SENARIO ANALYSIS

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 687-687
Author(s):  
D.J. Deeg ◽  
B.C. Smid ◽  
B. Wouterse
Keyword(s):  
Life Expectancy ◽  
Older People ◽  
Social Participation ◽  
Poor Health ◽  
Healthy Life Expectancy ◽  
Healthy Life

scholarly journals Nutritional Eating; What Do You Know and When Did You Know It? (P04-098-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Deborah Calhoun-Parker
Keyword(s):  
Heart Disease ◽  
Life Expectancy ◽  
Chronic Diseases ◽  
The United States ◽  
Time Frame ◽  
Poor Health ◽  
World Health ◽  
Healthy Life Expectancy ◽  
Healthy Life ◽  
Nutritional Information

Abstract Objectives The World Health Organization (W.H.O.) projects by 2020 chronic disease will account for 73% of deaths worldwide (W.H.O., 2010). In the United States (U.S.) minorities are high risk for chronic diseases. U.S. census projects by 2050 American minorities as the majority (Census, 2000). Purposes of pilot study 1) identify individual knowledge of chronic diseases; 2) when known (time frame); and 3) knowledge implemented to improve health. Important because if projections are correct health of the majority of people worldwide and U.S. society in particular, (Americas’ minority/majority) forecast as: poor health with short healthy life expectancy. Leading chronic diseases causing mortality in America: heart disease, cancer and lower respiratory diseases (Center for Disease Control, 2016). Hispanics are 16% of U.S. population. Leading cause of mortality: cancer. African Americans are 13.6% of U.S. population. Leading cause of mortality: heart disease. Societal challenge: mitigating health issues of a minority/majority. Methods A convenience sample adults (N = 15) utilized; most minorities. They completed 32 item questionnaire. Some items were Likert scale 5 strongly agree and 1 strongly disagree. Results Ninety-nine % have family member(s) with health challenges. More than 50% indicate being, “Healthy”. Half indicate being overweight. The majority response to frequency questions: 2–3 weekly. Example, most consume 9 servings of fruits/vegetables (F/V) 2–3 weekly. USDA recommend 9 servings of F/V daily. Time frame questions: ‘when known’. Example, half indicate meat and dairy as a diet necessity. When known, majority indicate over a year ago. Meat/dairy linked with chronic diseases. Majority misidentifies nutrient dense foods. Example, majority indicate white potatoes and iceberg lettuce as nutrient dense. Nutrient dense foods mitigate chronic diseases. Response to Likert type scale items, example, “I work hard to improve my dietary lifestyle”, most indicate ‘agree’. Conclusions Current nutritional information limited. Outdated nutritional information implemented. Nutrient dense diet lacking. The trajectory forecast of a minority/majority with poor health and short healthy life expectancy is on target. Funding Sources N/A.

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.

scholarly journals The contribution of social participation to differences in life expectancy and healthy years among the older population: A comparison between Chile, Costa Rica and Spain

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248179
Author(s):  
Sarahí Rueda-Salazar ◽  
Jeroen Spijker ◽  
Daniel Devolder ◽  
Cecilia Albala
Keyword(s):  
Costa Rica ◽  
Life Expectancy ◽  
Latin American ◽  
Social Participation ◽  
Transition Probabilities ◽  
Functional Limitation ◽  
Healthy Life Expectancy ◽  
Social Activities ◽  
Healthy Life ◽  
Life Years

We study the health trajectories of the population aged over 60, comparing between one European and two Latin American countries (Spain, Chile and Costa Rica) which have similar longevity patterns. Our focus is on functional limitation and mortality risks, considering differences by gender, education and social participation. Data come from national panel surveys (EPS, CRELES, SHARE). Multistate modelling is used to estimate transition probabilities between two health states: healthy to unhealthy, unhealthy to healthy as well as the transition to death from healthy or unhealthy states, to estimate the duration of stay in a specific state (computing healthy and unhealthy life expectancies) and the effect of the selected covariates. Results show that older Costa Ricans have the smallest gender gap in life expectancy but women have a lower healthy life expectancy compared to those in Chile and Spain. Participation in social activities leads to higher healthy life expectancy among the elderly in Costa Rica and Spain, whilst there were no relevant educational differences observed in longevity in the analysed countries. To conclude: despite the different patterns observed in health transitions and survival across the three countries, social participation is associated with greater health and longevity among people of old age, with little effect coming from educational attainment. Public policies should therefore be aimed at reducing unhealthy life years and dependency at advanced ages by promoting more engagement in social activities, especially among vulnerable groups who are more likely to experience impairment from a younger age.

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 Life Expectancy and Healthy Life Expectancy of Adults in Oman: Does Women’s Longer Life Expectancy than Men Mean Success or Burden for Women?

2021 ◽  
Vol 10 ◽  
pp. 136-145
Author(s):  
M. Mazharul Islam ◽  
Keyword(s):  
Life Expectancy ◽  
Life Table ◽  
Gender Gap ◽  
Poor Health ◽  
World Health ◽  
Healthy Life Expectancy ◽  
Population Census ◽  
Multiple Sources ◽  
World Health Survey ◽  
Healthy Life

Objectives: The objective of this study was to examine the life expectancy (LE) and healthy life expectancy (HLE) of Omani adults with age and gender differentials, focusing on whether the higher LE of women than men is a gain or burden for women. Method: Data for the study come from multiple sources such as the 2010 population census, the 2008 World Health Survey in Oman, and secondary data published in the Statistical Yearbook of Oman. The life table and the modified life table proposed by Sullivan were used for estimating the LE and HLE of adult people of age 20 and above, respectively. Results: LE in Oman reached 76 years for both sexes in recent times. However, since 2010 LE has been stalled in the vicinity of 76 years in Oman. Women had higher LE than men (79 years versus 74 years). In terms of HLE, men outweighed women in Oman. At the age of 20, the gap between male-female LE was found to be 4.7 years in favor of females, whereas the gap between male-female HLE was found to be 5.8 years in favor of males. Females spent a relatively long time in poor health status than males (20.8 years versus 10.8 years) and the proportion of life spent in poor health was greater for females than males (35.0% vs. 19.3%). This revealed the paradox of less mortality but higher morbidity among women, supporting the “Failure of Success” hypothesis. Conclusion: Appropriate health policy and strategy need to be taken to reduce the gender gap in LE and HLE in Oman.

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.

Sign in / Sign up

Export Citation Format

Share Document