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Objectives: We aim to analyze the risk of death from specific external causes, including falls, complications of medical and surgical care, unintentional injuries, and suicide, in dementia patients. Design: Swedish nationwide cohort study integrating 6 registers from May 1, 2007, through December 31, 2018, including the Swedish Registry for Cognitive/Dementia Disorders (SveDem). Setting and Participants: Population-based study. Patients diagnosed with dementia from 2007 to 2018 and up to 4 controls matched on year of birth (+/- 3 years), sex, and region of residence. Methods: The exposures of this study were diagnosis of dementia and dementia subtypes. Number of deaths and causes of mortality were obtained from death certificates compiled into the Cause of Death Register. Hazard ratios (HRs) and 95% CIs were estimated using Cox and flexible models, adjusted for sociodemographics, medical and psychiatric disorders. Results: The study population included 235,085 patients with dementia [96,760men (41.2%); mean age 81.5 (SD 8.5) years] and 771,019 control participants [341,994 men (44.4%); mean age 79.9 (SD 8.6) years], over 3,721,687 person- years. Compared with control participants, patients with dementia presented increased risk for unintentional injuries (HR 3.30, 95% CI 3.19-3.40) and falls (HR 2.67, 95% CI 2.54-2.80) during old age (>= 75 y), and suicide (HR 1.56, 95% CI 1.02-2.39) in middle age (<65 y). Suicide riskwas 5.04 times higher (HR 6.04, 95% CI 4.22-8.66) in patients with both dementia and 2 or more psychiatric disorders relative to controls (incidence rate per person-years, 1.6 vs 0.3). For dementia subtypes, frontotemporal dementia had the highest risks of unintentional injuries (HR 4.28, 95% CI 2.80-6.52) and falls (HR 3.83, 95% CI 1.98-7.41), whereas subjects with mixed dementia were less likely to die from suicide (HR 0.11, 95% CI 0.03-0.46) and complications of medical and surgical care (HR 0.53, 95% CI 0.40-0.70) compared to controls. Conclu

Objectives: We aim to analyze the risk of death from specific external causes, including falls, complications of medical and surgical care, unintentional injuries, and suicide, in dementia patients. Design: Swedish nationwide cohort study integrating 6 registers from May 1, 2007, through December 31, 2018, including the Swedish Registry for Cognitive/Dementia Disorders (SveDem). Setting and Participants: Population-based study. Patients diagnosed with dementia from 2007 to 2018 and up to 4 controls matched on year of birth (±3 years), sex, and region of residence. Methods: The exposures of this study were diagnosis of dementia and dementia subtypes. Number of deaths and causes of mortality were obtained from death certificates compiled into the Cause of Death Register. Hazard ratios (HRs) and 95% CIs were estimated using Cox and flexible models, adjusted for sociodemographics, medical and psychiatric disorders. Results: The study population included 235,085 patients with dementia [96,760 men (41.2%); mean age 81.5 (SD 8.5) years] and 771,019 control participants [341,994 men (44.4%); mean age 79.9 (SD 8.6) years], over 3,721,687 person-years. Compared with control participants, patients with dementia presented increased risk for unintentional injuries (HR 3.30, 95% CI 3.19-3.40) and falls (HR 2.67, 95% CI 2.54-2.80) during old age (≥75 y), and suicide (HR 1.56, 95% CI 1.02-2.39) in middle age (<65 y). Suicide risk was 5.04 times higher (HR 6.04, 95% CI 4.22-8.66) in patients with both dementia and 2 or more psychiatric disorders relative to controls (incidence rate per person-years, 1.6 vs 0.3). For dementia subtypes, frontotemporal dementia had the highest risks of unintentional injuries (HR 4.28, 95% CI 2.80-6.52) and falls (HR 3.83, 95% CI 1.98-7.41), whereas subjects with mixed dementia were less likely to die from suicide (HR 0.11, 95% CI 0.03-0.46) and complications of medical and surgical care (HR 0.53, 95% CI 0.40-0.70) compared to controls. Conclusions a

The ambivalence of mortality and life expectancy dynamics in Ukraine is a significant and complex demographic problem. Our aim is to examine the last tendencies of mortality and life expectancy, analyse the level and dynamics of mortality by major causes of death before the Russian military invasion of Ukraine. This analysis constitutes a base for the further comparative estimation of demographic losses due to the war. Trends of sex- and age-specific mortality are considered. Specific characteristics of mortality in urban and rural settlements are analysed. We use the following methods: demographic rates, standardized death rates (European standard population), life tables, decomposition method, descriptive statistics, graphic method. Our findings suggest that following a period of growth in life expectancy (2009-2013) a period of fluctuation and stagnation (2014-2019) has started in Ukraine under the influence of political-military and economic factors. Beginning with 2020, life expectancy was additionally influenced by COVID-19. Non-communicable diseases are among significant contributors to premature adult mortality in Ukraine. However, the excessive share of deaths (especially among men) is also related to external causes. The dynamics of mortality from cardiovascular diseases show a general trend of decline over the past fifteen years, however with fluctuations in the latest years. A deterioration has already taken place in 2020. There is a slight decrease in cancer mortality over the past fifteen years. The reduction in death rate from external causes in Ukraine over this period was significant. The standardized death rate from digestive diseases has increased with COVID-19 having played a leading role in the unfavourable changes of life expectancy over the past two years.

The ambivalence of mortality and life expectancy dynamics in Ukraine is a significant and complex demographic problem. Our aim is to examine the last tendencies of mortality and life expectancy, analyse the level and dynamics of mortality by major causes of death before the Russian military invasion of Ukraine. This analysis constitutes a base for the further comparative estimation of demographic losses due to the war. Trends of sex- and age-specific mortality are considered. Specific characteristics of mortality in urban and rural settlements are analysed. We use the following methods: demographic rates, standardized death rates (European standard population), life tables, decomposition method, descriptive statistics, graphic method. Our findings suggest that following a period of growth in life expectancy (2009-2013) a period of fluctuation and stagnation (2014-2019) has started in Ukraine under the influence of political-military and economic factors. Beginning with 2020, life expectancy was additionally influenced by COVID-19. Non-communicable diseases are among significant contributors to premature adult mortality in Ukraine. However, the excessive share of deaths (especially among men) is also related to external causes. The dynamics of mortality from cardiovascular diseases show a general trend of decline over the past fifteen years, however with fluctuations in the latest years. A deterioration has already taken place in 2020. There is a slight decrease in cancer mortality over the past fifteen years. The reduction in death rate from external causes in Ukraine over this period was significant. The standardized death rate from digestive diseases has increased with COVID-19 having played a leading role in the unfavourable changes of life expectancy over the past two years.

Objectives: To compare mortality by cancer sites and by other specific causes of death, and the prevalence of risk behaviors in farmers and non-farmers in Spain. Methods: Mortality by cause of death was calculated based on a longitudinal study with 10-years follow-up of 9.5 million men and 6 million women aged 20–64 years who were employed in 2001. The prevalence of risk behaviors was calculated from the 2001 National Health Survey in the 6464 employed men and 5573 employed women aged 20–64. The study subjects were grouped as farmers and non-farmers. For each cause of death, we estimated the ratio of age-standardized mortality rates, and for each risk behavior we estimated the age-standardized prevalence ratio in farmers versus non-farmers. Results: In men, the mortality rate for most cancer sites did not differ significantly between farmers and non-farmers, except for cancers of the lip, oral cavity, stomach, larynx and skin epidermoid carcinoma—which was higher in farmers—and cancers of the liver, pancreas and mesothelioma—which was lower in farmers. In contrast, farmers had a higher rate of mortality from most other diseases and from external causes of death. In women, farmers showed lower mortality from lung cancer, breast cancer and chronic lower respiratory disease, and higher mortality from external causes. The prevalence of smoking, excessive alcohol consumption, physical inactivity and obesity was higher in farmers than in non-farmers, except smoking and excessive alcohol consumption in women where prevalence was lower in farmers. Conclusions: Findings are different from those found in other studies. In men, greater exposure to the sun and the higher prevalence of risk behaviors in farmers could explain their excess mortality from some cancer sites and the other causes of death. However, other factors may be behind this excess risk of mortality from these causes, given that farmers did not show higher mortality from some cancers related to smoking. In women

Objectives: To compare mortality by cancer sites and by other specific causes of death, and the prevalence of risk behaviors in farmers and non-farmers in Spain. Methods: Mortality by cause of death was calculated based on a longitudinal study with 10-years follow-up of 9.5 million men and 6 million women aged 20–64 years who were employed in 2001. The prevalence of risk behaviors was calculated from the 2001 National Health Survey in the 6464 employed men and 5573 employed women aged 20–64. The study subjects were grouped as farmers and non-farmers. For each cause of death, we estimated the ratio of age-standardized mortality rates, and for each risk behavior we estimated the age-standardized prevalence ratio in farmers versus non-farmers. Results: In men, the mortality rate for most cancer sites did not differ significantly between farmers and non-farmers, except for cancers of the lip, oral cavity, stomach, larynx and skin epidermoid carcinoma—which was higher in farmers—and cancers of the liver, pancreas and mesothelioma—which was lower in farmers. In contrast, farmers had a higher rate of mortality from most other diseases and from external causes of death. In women, farmers showed lower mortality from lung cancer, breast cancer and chronic lower respiratory disease, and higher mortality from external causes. The prevalence of smoking, excessive alcohol consumption, physical inactivity and obesity was higher in farmers than in non-farmers, except smoking and excessive alcohol consumption in women where prevalence was lower in farmers. Conclusions: Findings are different from those found in other studies. In men, greater exposure to the sun and the higher prevalence of risk behaviors in farmers could explain their excess mortality from some cancer sites and the other causes of death. However, other factors may be behind this excess risk of mortality from these causes, given that farmers did not show higher mortality from some cancers related to smoking. In women

В Республике Саха (Якутия) уровень смертности от внешних причин остается достаточно высоким по сравнению с РФ в целом. Наиболее проблемными социально-демографическими группами выступают сельское население, мужчины трудоспособного возраста, население северных и арктических районов республики., The mortality rate from external causes In the Republic of Sakha (Yakutia) remains high in comparison with Russia. The rural population, men of working age, the population of Northern and Arctic regions of the Republic are the most problematic socio-demographic groups.