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Background: The aim of this study was to evaluate the association between experienced physical violence and health-related quality of life (HRQoL) by comparing self-reported health status for individuals with and without experience of physical violence. Our hypothesis was that individuals exposed to violence would experience worse HRQoL than non-exposed individuals. We tested whether men and women and different age groups experience similar reductions in HRQoL, and the extent to which such differences might be associated with social circumstances and lifestyle conditions. Finally, we explored the HRQoL consequences of exposure to violence in a longer time perspective. Methods: We used data from self-completed questionnaires in two Danish nationally representative, cross-sectional health interview surveys. Exposure to violence was indicated through specific survey questions (Straus' conflict tactics scale) enquiring about different types of violence during the last 12 months. Health status of respondents was elicited by the EQ-5D and SF-36 questionnaires. The health status profiles were converted to health score indexes using the Danish algorithm for EQ-5D and the revised Brazier algorithm for SF-6D. Differences in score indexes between the exposed and non-exposed individuals were explored separately for men and women using ordinary least square regression with four age categories as explanatory variables. Results: In the 2000 and 2005 surveys, respectively, 4.9% and 5.7% of respondents indicated that they had been exposed to physical violence within the last 12 months. Exposure to violence was more prevalent in the younger age groups and more prevalent for men than women. Respondents exposed to violence had lower score indexes on both the EQ-5D and the SF-6D compared with the non-exposed. Respondents who reported exposure to violence in both 2000 and 2005 reported lower HRQoL than individuals who only reported exposure in one of the surveys. Conclusions: The results of this study provide evidence for an association between exposure to physical violence and reduction in health-related quality of life. [ABSTRACT FROM AUTHOR]

Aims: The construct quality-adjusted life years (QALYs) combines mortality and overall health status and can be used to quantify the impact of risk factors on population health. The purpose of the study was to estimate the impact of tobacco smoking, high alcohol consumption, physical inactivity, and overweight on QALYs. Methods: Life tables for each level of exposure to the risk factor were constructed mainly on the basis of the Danish National Cohort Study. QALYs were estimated for exposed and unexposed by Sullivan's method, by combining life tables, EQ-5D self-classified health status from the Danish Health Survey 2000, and Danish EQ-5D values. Results: The quality-adjusted life expectancy of 25-year-olds was 10-11 QALYs shorter for heavy smokers than for those who never smoke. The difference in life expectancy was 9-10 years. Men and women with high alcohol consumption could expect to lose about 5 and 3 QALYs, respectively. Sedentary persons could expect to have about 7 fewer QALYs than physically active persons. Obesity shortened QALYs by almost 3 for men and 6 for women. Conclusions: Smoking, high alcohol consumption, physical inactivity, and obesity strongly reduce life expectancy and health-related quality of life. These results could be used by health policy-makers to evaluate the potential gains in public health due to interventions against these risk factors, when the prevalence of exposure to the risk factor is available. [ABSTRACT FROM AUTHOR]

Background: While life expectancy quantifies average length of life, health expectancy represents the average lifetime in different health states and offers the possibility to evaluate quality of life with respect to health. The purpose of the study was to estimate changes in health expectancy in Denmark from 1987 to 2000 and to assess theories about the relation between increased total lifetime and lifetime in various health states. Methods: Data on health status derived from the Danish Health Interview Surveys carried out in 1987, 1991, 1994 and 2000 were combined with life-table data. Expected lifetime in selfrated good health, life expectancy without longstanding illness and disabilityfree life expectancy were estimated by Sullivan's method. Results: In 1987, the life expectancy of a 65-year-old man was 14.1 years, 8.9 years of which were expected to be disabilityfree. In 2000, life expectancy had increased to 15.0 years, 11.3 years of which were disabilityfree. Thus, life expectancy had increased by 0.9 years, whereas disabilityfree life expectancy had increased by 2.4 years. Among 65-year-old women, life expectancy had increased by 0.2 years and disabilityfree life expectancy by 1.1 years. Expected lifetime in selfrated good health had also improved, but the trend in life expectancy without longstanding illness went in the opposite direction, and expected lifetime with longstanding illness had increased. Conclusion: The recent rise in life expectancy in Denmark after many years of stagnation appears to be accompanied by generally improved health status among the elderly, but health expectancy trends depend on the health indicator chosen. [ABSTRACT FROM AUTHOR]

Aims: Health expectancy represents the average lifetime in various states of health and differs among social groups. The purpose of the study was to determine trends in social inequality in health expectancy since 1994 between groups with high, medium and low educational levels in Denmark. Methods: The study was based on data from nationwide registers on educational level and mortality during the period 1994—2005 and data on health status derived from the Danish Health Interview Surveys carried out in 1994, 2000 and 2005. Expected lifetime in self-rated good and poor health, lifetime without and with longstanding illness and expected lifetime without and with long-lasting difficulties or restrictions were estimated by Sullivan's method. Results: Between 1994 and 2005, life expectancy at age 30 years increased by 1.9 years for men and 1.5 years for women with a low educational level. For people with a high educational level, the increase was 2.7 years for men and 2.2 years for women. The difference between people with low and high educational level in expected lifetime in self-rated good health increased by 2.0 and 1.3 years for 30-year-old men and women, respectively. The social gap also increased for other indicators. Conclusions: During the past 12 years, social inequality in life expectancy and health expectancy has increased in Denmark, but the proportion of the population with a low educational level has decreased. [ABSTRACT FROM AUTHOR]