scholarly journals Behavioural risk factors and healthy life expectancy: evidence from two longitudinal studies of ageing in England and the US

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Paola Zaninotto ◽  
Jenny Head ◽  
Andrew Steptoe
2016 ◽  
Vol 45 (4) ◽  
pp. 1260-1270 ◽  
Author(s):  
Sari Stenholm ◽  
Jenny Head ◽  
Mika Kivimäki ◽  
Ichiro Kawachi ◽  
Ville Aalto ◽  
...  

Abstract Background: Smoking, physical inactivity and obesity are modifiable risk factors for morbidity and mortality. The aim of this study was to examine the extent to which the co-occurrence of these behaviour-related risk factors predict healthy life expectancy and chronic disease-free life expectancy in four European cohort studies. Methods: Data were drawn from repeated waves of four cohort studies in England, Finland, France and Sweden. Smoking status, physical inactivity and obesity (body mass index ≥30 kg/m2) were examined separately and in combination. Health expectancy was estimated by using two health indicators: suboptimal self-rated health and having a chronic disease (cardiovascular disease, cancer, respiratory disease and diabetes). Multistate life table models were used to estimate sex-specific healthy life expectancy and chronic disease-free life expectancy from ages 50 to 75 years. Results: Compared with men and women with at least two behaviour-related risk factors, those with no behaviour-related risk factors could expect to live on average8 years longer in good health and 6 years longer free of chronic diseases between ages 50 and 75. Having any single risk factor was also associated with reduction in healthy years. No consistent differences between cohorts were observed. Conclusions: Data from four European countries show that persons with individual and co-occurring behaviour-related risk factors have shorter healthy life expectancy and shorter chronic disease-free life expectancy. Population level reductions in smoking, physical inactivity and obesity could increase life-years lived in good health.


2014 ◽  
Vol 37 (3) ◽  
pp. 470-479 ◽  
Author(s):  
Man-Huei Chang ◽  
Michael T. Molla ◽  
Benedict I. Truman ◽  
Heba Athar ◽  
Ramal Moonesinghe ◽  
...  

2019 ◽  
Vol 81 (08/09) ◽  
pp. 579-580

Weltweit ist aufgrund verbesserter Lebensbedingungen und einer hochwertigeren medizinischen Versorgung ein kontinuierlicher Anstieg der Lebenserwartung zu verzeichnen. Allerdings nimmt die gesunde Lebenserwartung („Healthy Life Expectancy“ [HALE]) nicht in gleichem Maß zu. Die „Global Burden of Diseases, Injuries, and Risk Factors Study“ (GBD) 2017 hat für 195 Länder über 28 Jahre hinweg unter anderem Muster und Trends zu der HALE analysiert.


2020 ◽  
Vol 15 (5) ◽  
pp. 35-55
Author(s):  
N.P. STARYKH ◽  
◽  
A.V. EGOROVA ◽  

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.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 505-505
Author(s):  
Matthew Farina ◽  
Phillip Cantu ◽  
Mark Hayward

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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