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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, 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.

Aims: The study's aim is to identify and classify the most important alcohol control policies in the Baltic countries (Estonia, Latvia and Lithuania) and Poland between 2000 and 2020. Methods: Policy analysis of Baltic countries and Poland, predicting potential policy impact on alcohol consumption, all-cause mortality and alcohol-attributable hospitalizations was discussed. Results: All Baltic countries implemented stringent availability restrictions on off-premises trading hours and different degrees of taxation increases to reduce the affordability of alcoholic beverages, as well as various degrees of bans on alcohol marketing. In contrast, Poland implemented few excise taxation increases or availability restrictions and, in fact, reduced stipulations on prior marketing bans. Conclusions: This classification of alcohol control policies in the Baltic countries and Poland provides a basis for future modeling of the impact of implementing effective alcohol control policies (Baltic countries), as well as the effects of loosening such policies (Poland).

BACKGROUND: Despite an increased focus on cold-related mortality in recent years, there has been comparatively little research specifically on hypothermia mortality and its associated factors. METHODS: Educational inequalities in hypothermia mortality among individuals aged 30-74 in the Baltic countries (Estonia, Latvia, Lithuania) and Finland in 2000-15 were examined using data from longitudinal mortality follow-up studies of population censuses (the Baltics) and from a longitudinal register-based population data file (Finland). RESULTS: Age-standardized mortality rates (ASMRs) were much higher in the Baltic countries than in Finland across the study period. From 2000-07 to 2008-15, overall ASMRs declined in all countries except among Finnish women. Although a strong educational gradient was observed in hypothermia mortality in all countries in 2000-07, inequalities were larger in the Baltic countries. Between 2000-07 and 2008-15, ASMRs declined in all educational groups except for high-educated women in Finland and low-educated women in Lithuania; the changes however were not always statistically significant. The absolute mortality decline was often larger among the low educated resulting in narrowing absolute inequalities (excepting Lithuania), whereas a larger relative decline among the high educated (excepting Finnish women) resulted in a considerable widening of relative inequalities in hypothermia mortality by 2008-15. CONCLUSION: Although some reduction was observed in absolute educational inequalities in hypothermia mortality in 2000-15, substantial and widening relative inequalities highlight the need for further action in combatting factors behind deaths from excessive cold in socioeconomically disadvantaged groups, including risky alcohol consumption and homelessness.

BACKGROUND: Drowning is an important public health problem. Some evidence suggests that the risk of drowning is not distributed evenly across the general population. However, there has been comparatively little research on inequalities in drowning mortality. To address this deficit, this study examined trends and sociodemographic inequalities in mortality from unintentional drowning in the Baltic countries and Finland in 2000-2015. METHODS: Data for Estonia, Latvia and Lithuania came from longitudinal mortality follow-up studies of population censuses in 2000/2001 and 2011, while corresponding data for Finland were obtained from the longitudinal register-based population data file of Statistics Finland. Deaths from drowning (ICD-10 codes W65-W74) were obtained from national mortality registries. Information was also obtained on socioeconomic status (educational level) and urban-rural residence. Age-standardised mortality rates (ASMRs) per 100 000 person years and mortality rate ratios were calculated for adults aged 30-74 years old. Poisson regression analysis was performed to assess the independent effects of sex, urban-rural residence and education on drowning mortality. RESULTS: Drowning ASMRs were significantly higher in the Baltic countries than in Finland but declined by nearly 30% in all countries across the study period. There were large inequalities by sex, urban-rural residence and educational level in all countries during 2000-2015. Men, rural residents and low educated individuals had substantially higher drowning ASMRs compared to their counterparts. Absolute and relative inequalities were significantly larger in the Baltic countries than in Finland. Absolute inequalities in drowning mortality declined in all countries across the study period except between urban and rural residents in Finland. Changes in relative inequalities were more variable during 2000-2015. CONCLUSION: Despite a sharp reduction in deaths from drowning in the Baltic countries and F

which poses a risk for the future increase of inequalities in LE.