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Background: Several studies have revealed widening of inequalities in life expectancy, but little is known about the recent changes in health expectancy nationally and between socioeconomic groups. This study examines dynamics of national and education-specific life expectancy and health expectancies at age 50 years in Denmark from 2004/2007 to 2015., Methods: Nationwide register data on education and mortality were linked and combined with Danish health data from the Survey of Health, Ageing and Retirement in Europe and changes in life expectancy and three health expectancy indicators were estimated by Sullivan's method., Results: From 2004 to 2015, national life expectancy at age 50 years increased by 2.4 years for men and 2.1 years for women. Simultaneously, after an initial rapid improvement from 2004 to 2007, the pace of progress in health expectancy decreased. From 2007 to 2015, the difference in life expectancy at age 50 years between men with long and short education increased from 4.3 to 5.0 years. For women, the corresponding increase in the life expectancy gap was less pronounced from 3.5 to 3.8 years. The educational gap in lifetime without long-term illness decreased from 4.6 years to 3.1 years for men and from 6.1 years to 4.6 years for women. On the contrary, the educational gap increased for lifetime without activity limitations and in self-rated good health., Conclusions: Previously observed improvements in health expectancy in Denmark slowed down despite continuing progress in life expectancy. This worrying change coincides with persistent educational inequalities in life expectancy and health expectancy and is a challenge to a sustainable social and health development in the future., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: The pension age in Denmark is adjusted in line with projected increasing life expectancy without taking health differentials between occupational groups into account. The purpose was to study occupational disparities in partial life expectancy and health expectancy between the ages of 50 and 75. Methods : Register data on occupation and mortality were combined with data from the Danish part of Survey of Health, Ageing and Retirement in Europe in 2010-2014 ( N =3179). Expected lifetime without and with activity limitations and without and with long-term illness was estimated by Sullivan's method and comparisons made between four occupational groups. Results : We found clear differences between occupational groups. Expected lifetime without activity limitations between the ages of 50 and 75 was about 4.5 years longer for men and women in high skilled white-collar occupations than for men and women in low skilled blue-collar occupations. Men in high skilled blue-collar and low skilled white-collar occupations could expect 2.3 and 3.8 years shorter lifetimes without activity limitations, respectively, than men in high skilled white-collar occupations. For women in low skilled white-collar occupations, lifetime without activity limitations was 2.6 years shorter than for women in high skilled white-collar occupations. Due to few observations, no results were obtained for women in the high skilled blue-collar group. The social gradient was also significant when health was measured by years without long-term illness. Conclusions : The results support implementation of a flexible pension scheme to take into account the health differentials between occupational groups.

Aims: Cross-country comparisons of mortality and longevity patterns of Nordic populations could contribute with novel insights into the compositional changes of these populations. We investigated three metrics of population ageing: the proportion of the population aged 75+ and 90+ years, the proportion of birth cohorts reaching 75 and 90 years, and life expectancy (LE) at age 75 and 90 years in Sweden, Norway, Iceland, Denmark and Finland, in the period 1990-2014. Methods: Demographic information was collected from national statistical databases and the Human Mortality Database. Results: All metrics on population ageing increased during the study period, but there were some cross-country variations. Finland experienced a notably steep increase in the proportion of 75+ and 90+ year olds compared to the other countries. Regarding the proportion reaching old ages, the Finnish lagged behind from the beginning, but females decreased this difference. The Danes were more similar to the other countries at the beginning, but did not experience the same increase over time. Gender-specific LE at age 75 and 90 years was similar overall in the five countries. Conclusions: Developments in cross-country variation suggest that survival until old age has become more similar for Finnish females and more different for Danish males and females compared with the other countries in recent decades. This provides perspectives on the potential to improve longevity in Denmark and Finland. Similarities in LE in old age suggest that expected mortality in old age has been more similar throughout the study period.

Aims: The state old-age pension in Denmark increases to keep pace with the projected increase in average life expectancy (LE) without any regard to the social gap in LE and expected lifetime in good health. The purpose of this study was to compare changes in LE and disability-free life expectancy (DFLE) between groups of Danes with high, medium and low levels of education., Methods: Nationwide register data on education and mortality were combined with data from the Surveys of Health, Ageing and Retirement in Europe (SHARE) surveys in 2006-2007, 2010-2011 and 2013-2014 and the DFLE by educational level was estimated by Sullivan's method for each of these three time points., Results: Between 2006-2007 and 2013-2014, LE among 65-year-old men and women with a low educational level increased by 1.3 and 1.0 years, respectively, and by 1.4 and 1.3 years for highly educated men and women. The gap in LE between people with high and low levels of education remained more than 2 years. In 2006-2007, 65-year-old men with a high level of education could expect 3.2 more years without disability than men of the same age with a low level of education. In 2013-2014, the difference was 2.9 years. For women, the results were 3.7 and 3.4 years, respectively., Conclusions: With the persistent social inequality in LE of more than 2 years and the continuous gap between high and low educational groups in DFLE of about 3 years, a differential pension age is recommended.

Aims: To describe the characteristics of men and women exposed to physical violence, to identify risk factors for violence exposure and to quantify the attributable healthcare costs of violence., Methods: The Danish national health interview surveys of 2000 and 2005 included data on exposure to defined forms of physical violence over the last 12 months. Respondents who reported exposure to violence during the past year were compared with a reference group of non-exposed respondents, and data were merged with the National Health Registers. We identified risk factors for violence by logistic regression models and used OLS regression for quantification of attributable healthcare costs of violence, including somatic and psychiatric admissions, outpatient contacts, prescriptions and primary health services; and analyzed intimate partner violence separately., Results: Young age, being divorced and drinking more than the recommended amount of alcohol per week were risk factors for violence both for men and women. Total annual healthcare costs, adjusted for age and deliveries, were 787 euros higher on average for women exposed to violence than for non-exposed women, mainly related to psychiatric treatment. For women, no significant cost differences existed between victims of partner violence and non-victims. The total healthcare costs were not higher for exposed men than for non-exposed men, but male victims of partner violence incurred significantly higher costs., Conclusions: Primarily due to costs of psychiatric treatment, male and female victims of violence had higher total healthcare costs than non-exposed people. Whether mental health problems increase the risk of violence exposure or violence is a particular risk factor for health problems cannot be assessed by cross-sectional data alone.