scholarly journals The role of education for assessing population health: An analysis of healthy life expectancy by educational attainment for 16 European countries

2021 ◽  
Vol 1 ◽  
pp. 1-30
Author(s):  
Markus Sauerberg
2016 ◽  
Vol 2 (4) ◽  
pp. 126
Author(s):  
Mariana Mourgova

This article examines the health status of the population in Bulgaria at age 65 by gender during the period 2006-2014. The health status is examined by some of the most frequently used demographic indicators, namely life expectancy, based on mortality data and healthy life years and healthy life expectancy, based on mortality, life expectancy and self-perceived health. The main results show that despite of the observed increase in life expectancy at age 65 in Bulgaria during the period it is the lowest compared to other European countries. The share for both men and women reported their health status as without limitations in respect to daily activities decline, while those reported their health status as good increase. These contradictory facts reflect on the measures of health status. Thus, the trend in healthy life years for both sexes decline over the period, whereas the trend in healthy life expectancy increases. Compared with the other European countries, the expected number of years without limitations in Bulgaria is among the largest, while the healthy life expectancy is the lowest. These differences could be explained by the different levels in mortality and the nature of the measures of health status themselves.


2016 ◽  
Vol 6 (1) ◽  
pp. 126
Author(s):  
Mariana Mourgova

This article examines the health status of the population in Bulgaria at age 65 by gender during the period 2006-2014. The health status is examined by some of the most frequently used demographic indicators, namely life expectancy, based on mortality data and healthy life years and healthy life expectancy, based on mortality, life expectancy and self-perceived health. The main results show that despite of the observed increase in life expectancy at age 65 in Bulgaria during the period it is the lowest compared to other European countries. The share for both men and women reported their health status as without limitations in respect to daily activities decline, while those reported their health status as good increase. These contradictory facts reflect on the measures of health status. Thus, the trend in healthy life years for both sexes decline over the period, whereas the trend in healthy life expectancy increases. Compared with the other European countries, the expected number of years without limitations in Bulgaria is among the largest, while the healthy life expectancy is the lowest. These differences could be explained by the different levels in mortality and the nature of the measures of health status themselves.


2011 ◽  
Vol 17 (4) ◽  
pp. 309 ◽  
Author(s):  
David Banham ◽  
John Lynch ◽  
Jon Karnon

South Australia’s Strategic Plan includes a target to improve the population’s healthy life expectancy. A common question among health policy and service planners is: ‘How do health programs and services in the community relate to healthy life expectancy?’ In response, this paper outlines an effectiveness and equity framework (EEF) for evaluating health interventions in applied settings. Using the example of coronary heart disease (CHD) management in general practice in South Australia, the EEF: (1) applies an internally consistent approach to accounting for population healthy life expectancy at state and smaller geographic levels; (2) estimates average population health gains from health programs, and gains across different socioeconomic subgroups within the community; (3) conducts economic evaluation by equating health gains against health system costs in population subgroups; (4) summarises relevant information about candidate intervention programs within a multi-criteria performance matrix for presentation to decision makers; (5) reassesses outcomes (and processes) following the implementation of a program and iteratively adds to the relevant knowledge and evidence base. The EEF offers a practical approach to selecting and evaluating intervention programs. The challenge is to develop system culture and data capture methods clearly focussed on linking health system activities to population health outcomes.


2010 ◽  
Vol 24 (1) ◽  
pp. 195-207 ◽  
Author(s):  
Robin S. Lau ◽  
Shanthi Johnson ◽  
T. J. Kamalanabhan

Author(s):  
Yukinori Nagakura ◽  
Hideaki Kato ◽  
Satoshi Asano ◽  
Yasuhiro Jinno ◽  
Shigeharu Tanei

In Japan, population health with life expectancy (LE) and healthy life expectancy (HALE) as indicators varies across the 47 prefectures (administrative regions). This study investigates how health examination results, including attitude toward improving life habits, are associated with population health. The association between health checkup variables and summary population health outcomes (i.e., life expectancy and healthy life expectancy) was investigated using a cross-sectional ecological design with prefectures as the unit of analysis. The medical records, aggregated by prefecture, gender, and age in the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open Data Japan, were used as health checkup variables. Body weight, blood pressure, liver enzymes, drinking habits, smoking habits, diabetes, serum lipids, and answers to questions regarding attitude toward improving health habits were significantly correlated to population health outcomes. Multiple regression analysis also revealed significant influence of these variables on population health. This study highlights that health examination results, including attitude toward improving health habits, are positively associated with population health. Consequently, implementing measures to improve health habits in response to the examination results could help the population maintain a healthy life.


Author(s):  
Camilla Riis Nielsen ◽  
Linda Juel Ahrenfeldt ◽  
Bernard Jeune ◽  
Kaare Christensen ◽  
Rune Lindahl-Jacobsen

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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