Identifying age- and sex-specific COVID-19 mortality trends over time in six countries.

OBJECTIVES: The COVID-19 pandemic is characterized by successive waves that each developed differently over time and through space. We aim to provide an in-depth analysis of the evolution of COVID-19 mortality during 2020 and 2021 in a selection of countries. METHODS: We focus on five European countries and the United States. Using standardized and age-specific mortality rates, we address variations in COVID-19 mortality within and between countries, and demographic characteristics and seasonality patterns. RESULTS: Our results highlight periods of acceleration and deceleration in the pace of COVID-19 mortality, with substantial differences across countries. Periods of stabilization were identified during summer (especially in 2020) among the European countries analyzed but not in the United States. The latter stands out as the study population with the highest COVID-19 mortality at young ages. In general, COVID-19 mortality is highest at old ages, particularly during winter. Compared with women, men have higher COVID-19 mortality rates at most ages and in most seasons. CONCLUSION: There is seasonality in COVID-19 mortality for both sexes at all ages, characterized by higher rates during winter. In 2021, the highest COVID-19 mortality rates continued to be observed at ages 75+, despite vaccinations having targeted those ages specifically.

Frailty at death: An examination of multiple causes of death in four low mortality countries in 2017.

BACKGROUND: The increasing prevalence of frailty in aging populations represents a major social and public health challenge which warrants a better understanding of the contribution of frailty to the morbid process. OBJECTIVE: To examine frailty-related mortality as reported on the death certificate in France, Italy, Spain and the United States in 2017. METHODS: We identify frailty at death for the population aged 50 years and over in France, Italy, Spain and the United States. We estimate the proportions of deaths by sex, age group and country with specific frailty-related ICD-codes on the death certificate 1) as the underlying cause of death (UC), 2) elsewhere in Part I (sequence of diseases or conditions or events leading directly to death), and 3) anywhere in Part II (conditions that do not belong in Part I but whose presence contributed to death). RESULTS: The age-standardized proportion of deaths with frailty at ages 50 and over is highest in Italy (25.0%), then in France (24.1%) and Spain (17.3%), and lowest in the United States (14.0%). Cross-country differences are smaller when frailty-related codes are either the underlying cause of the death or reported in Part II. Frailty-related mortality increases with age and is higher among females than males. Dementia is the most frequently reported frailty-related code. CONCLUSIONS: Notable cross-country differences were found in the prevalence and the type of frailty-related symptoms at death even after adjusting for differential age distributions.

The demography of COVID-19 deaths database, a gateway to well-documented international data.

National authorities publish COVID-19 death counts, which are extensively re-circulated and compared; but data are generally poorly sourced and documented. Academics and stakeholders need tools to assess data quality and to track data-related discrepancies for comparability over time or across countries. "The Demography of COVID-19 Deaths" database aims at bridging this gap. It provides COVID-19 death counts along with associated documentation, which includes the exact data sources and points out issues of quality and coverage of the data. The database - launched in April 2020 and continuously updated - contains daily cumulative death counts attributable to COVID-19 broken down by sex and age, place and date of occurrence of the death. Data and metadata undergo quality control checks prior to online release. As of mid-December 2021, it covers 21 countries in Europe and beyond. It is open access at a bilingual (English and French) website with content intended for expert users and non-specialists ( https://dc-covid.site.ined.fr/en/ ; figshare: https://doi.org/10.6084/m9.figshare.c.5807027 ). Data and metadata are available for each country separately and pooled over all countries.

Multi-morbidity and frailty at death: A new classification of death records for an ageing world.

Mortality statistics based on underlying cause of death are challenged by increased life expectancy and the growing share of population reaching ages associated with frequent multi-morbidity (with death likely resulting from interactions between multiple diseases). We provide a novel way of analysing causes of death: accounting for all causes mentioned on death certificates and summarizing this information along two dimensions emblematic of ageing populations-multi-morbidity and frailty. We implement this classification for all deaths at ages 50+ in Italy in 2014. Multi-morbid processes represent the majority of deaths, rising from 43 per cent at ages 50-54 to 63 per cent at ages 85-89. Multi-morbidity at death is more frequent among males, although age patterns are identical for both sexes. About one in four deaths involves frailty symptoms, rising to 45 per cent at ages 95+. Mortality rates involving frailty are very similar for both sexes. Supplementary material is available for this article at: https://doi.org/10.1080/00324728.2020.1820558.

Spatial patterns of male alcohol-related mortality in Belarus, Lithuania, Poland and Russia.

INTRODUCTION AND AIMS: Eastern Europe is known to suffer from a large burden of alcohol-related mortality. However, persisting unfavourable conditions at the national level mask variation at the sub-national level. We aim to explore spatial patterns of cause-specific mortality across four post-communist countries: Belarus, Lithuania, Poland and Russia (European part). DESIGN AND METHODS: We use official mortality data routinely collected over 1179 districts and cities. The analysis refers to males aged 20-64 years and covers the period 2006-2014. Mortality variation is mainly assessed by means of the standardised mortality ratio. Getis-Ord Gi* statistic is employed to detect hot and cold spots of alcohol-related mortality. RESULTS: Alcohol-related mortality exhibits a gradient from very high levels in northwestern Russia to low levels in southern Poland. Spatial transitions from higher to lower mortality are not explicitly demarcated by national boundaries. Within these countries, hot spots of alcohol-related mortality dominate the territories of northwestern and western Russia, eastern and northwestern Belarus, southeastern Lithuania, and eastern and central Poland. DISCUSSION AND CONCLUSIONS: The observed mortality gradient is likely associated with the spread of alcohol epidemics from the European part of Russia to the other countries, which appears to have started more than a century ago. Contemporary socioeconomic and demographic factors should be taken into account when developing anti-alcohol policies. The same is true for the peculiarities of culture, norms, traditions and behavioural patterns observed in specific geographical areas of the four countries. Reducing alcohol-related harm in the areas identified as hot spots should be prioritised.

Women's excess unhealthy life years: disentangling the unhealthy life years gap.

BACKGROUND: Compared to men, women live longer but have more years with disability. We assessed the contribution of gender differences in mortality and disability, total and by cause, to women's excess unhealthy life years (ULYs). METHODS: We used mortality data for France 2008 from Eurostat, causes of death from the CépiDc-INSERM-database; and disability and chronic conditions data from the French Disability Health Survey 2008-09. ULYs were calculated by the Sullivan method. The contributions of mortality and disability differences to gender differences in ULY were based on decomposition analyses. RESULTS: Life expectancy of French women aged 50 was 36.3 years of which 19.0 were ULYs; life expectancy of men was 30.4 years of which 14.2 were ULYs. Of the 4.8 excess ULYs in women, 4.0 years were due to lower mortality. Of these 4.0 ULYs, 1.8 ULY originated from women's lower mortality from cancer, 0.8 ULY from heart disease and 0.3 ULY from accidents. The remaining 0.8 excess ULY in women were from higher disability prevalence, including higher disability from musculoskeletal diseases (+1.8 ULY) and anxiety-depression (+0.6 ULY) partly offset by lower disability from heart diseases (-0.8 ULY) and accidents (-0.3 ULY). CONCLUSION: Lower mortality and higher disability prevalence contributed to women's longer life expectancy with disability. Women's higher disability prevalence due to non-fatal disabling conditions was partly offset by lower disability from heart disease and accidents. Conditions differentially impact gender differences in ULY, depending on whether they are mainly life-threatening or disabling. The conclusions confirm the health-survival paradox.

Obesity-related mortality in France, Italy, and the United States: a comparison using multiple cause-of-death analysis.

OBJECTIVES: We investigate the reporting of obesity on death certificates in three countries (France, Italy, and the United States) with different levels of prevalence, and we examine which causes are frequently associated with obesity. METHODS: We use cause-of-death data for all deaths at ages 50-89 in 2010-2011. Since obesity may not be the underlying cause (UC) of death, we compute age- and sex-standardized death rates considering all mentions of obesity (multiple causes or MC). We use cluster analyses to identify patterns of cause-of-death combinations. RESULTS: Obesity is selected as UC in no more than 20% of the deaths with a mention of obesity. Mortality levels, whether measured from the UC or the MC, are weakly related to levels of prevalence. Patterns of cause-of-death combinations are similar across the countries. In addition to strong links with cardiovascular diseases and diabetes, we identify several less familiar associations. CONCLUSIONS: Considering all mentions on the deaths certificates reduces the underestimation of obesity-related mortality based on the UC only. It also enables us to describe the various mortality patterns involving obesity.

Adult mortality patterns in the former Soviet Union's southern tier: Armenia and Georgia in comparative perspective.

BACKGROUND: While the health crisis in the former USSR has been well-documented in the case of Russia and other northern former Soviet republics, little is known about countries located in the southern tier of the region, i.e., the Caucasus and Central Asia. OBJECTIVE: This paper presents new mortality information from two Caucasian countries, Georgia and Armenia. Results are compared with information from two relevant countries previously examined in the literature, Kyrgyzstan and Russia. METHODS: Using official statistics (with adjustments when necessary), we compare adult mortality patterns in the four countries since 1979, for all causes and by cause for the recent period. For Kyrgyzstan results are presented by ethnicity, as its mortality levels have been impacted by its large Slavic population. RESULTS: Adult mortality patterns in Armenia and Georgia have been more favorable than in Russia. This appears to be due to a large extent to lower mortality from alcohol-related causes. Mortality patterns in these Caucasian republics resemble those observed in Kyrgyzstan, especially when considering the native portion of the population. CONCLUSIONS: As far as mortality is concerned, Armenia and Georgia have weathered the collapse of the Soviet Union better than Russia. These results document a distinct southern tier pattern of adult mortality in the former Soviet Union. CONTRIBUTION: This article enriches our understanding of the health crisis in the former Soviet Union by bringing new information from two lesser-known countries and further documenting the scale of heterogeneity in mortality experiences across this vast region.

Reconstructing Long-Term Coherent Cause-of-Death Series, a Necessary Step for Analyzing Trends.

Every time the classification of causes of death is changed, time series of deaths by cause are disrupted in more or less profound ways. When changes involve only the merging of several items or splitting a single item into several new categories, the problems caused by these ruptures are not too difficult to solve. A more or less severe imbroglio occurs, however, each time a new item results from recombining portions of different split items. Sometimes, but very rarely, some countries proceed to a bridge coding during the year of transition, which can help reconstruct coherent time series. This article first summarizes the general principles of the method developed for France by Meslé and Vallin to reconstruct complete series for France from 1925 to 1999 in the detailed list of the 9th WHO International Classification of Diseases (ICD), doing so by successively bridging a posteriori the five versions of the ICD that were in use during that period. Second, it reports on several methodological improvements that have been developed with the aim to reconstruct and analyze mortality trends by cause in sixteen industrialized countries.

Identifying potential differences in cause-of-death coding practices across Russian regions.

BACKGROUND: Reliable and comparable data on causes of death are crucial for public health analysis, but the usefulness of these data can be markedly diminished when the approach to coding is not standardized across territories and/or over time. Because the Russian system of producing information on causes of death is highly decentralized, there may be discrepancies in the coding practices employed across the country. In this study, we evaluate the uniformity of cause-of-death coding practices across Russian regions using an indirect method. METHODS: Based on 2002-2012 mortality data, we estimate the prevalence of the major causes of death (70 causes) in the mortality structures of 52 Russian regions. For each region-cause combination we measured the degree to which the share of a certain cause in the mortality structure of a certain region deviates from the respective inter-regional average share. We use heat map visualization and a regression model to determine whether there is regularity in the causes and the regions that is more likely to deviate from the average level across all regions. In addition to analyzing the comparability of cause-specific mortality structures in a spatial dimension, we examine the regional cause-of-death time series to identify the causes with temporal trends that vary greatly across regions. RESULTS: A high level of consistency was found both across regions and over time for transport accidents, most of the neoplasms, congenital malformations, and perinatal conditions. However, a high degree of inconsistency was found for mental and behavioral disorders, diseases of the nervous system, endocrine disorders, ill-defined causes of death, and certain cardiovascular diseases. This finding suggests that the coding practices for these causes of death are not uniform across regions. The level of consistency improves when causes of death can be grouped into broader diagnostic categories. CONCLUSION: This systematic analysis allows us to present a broader picture of the quality of cause-of-death coding at the regional level. For some causes of death, there is a high degree of variance across regions in the likelihood that these causes will be chosen as the underlying causes. In addition, for some causes of death the mortality statistics reflect the coding practices, rather than the real epidemiological situation.

Spatial variation of male alcohol-related mortality in Belarus and Lithuania.

BACKGROUND: Numerous studies have addressed the problem of hazardous alcohol consumption, alcohol-related causes of death and their relationship to persisting excess male mortality in the countries of the former USSR. Yet relatively little is known about the geographical patterns of alcohol-related mortality within these countries and the cross-border continuities of such patterns. This study aims at identifying the spatial distribution and the cross-border patterns of adult male mortality from alcohol poisonings and liver cirrhosis in Belarus and Lithuania. METHODS: We use cause-specific mortality data for 2003-2007. We employ spatial econometric techniques to detect 'hot spots' of alcohol-related mortality across the combined territory of the two countries. RESULTS: Specific patterns associated with extremely high rates of mortality from alcohol poisoning can be observed in Belarus, particularly in the areas bordering Russia and Lithuania. Meanwhile, patterns of alcohol-induced liver disease dominate in Lithuania, and continue across the border from eastern Lithuania into north-western Belarus. CONCLUSIONS: The districts located along the Belarusian-Lithuanian border appear to be especially problematic, as they suffer from an enormous burden of alcohol consumption. The situation is particularly severe on the Belarusian side, where there are extremely high levels of mortality from both alcohol poisoning and liver cirrhosis. These areas should be considered primary targets for antialcohol policies.

After the epidemiologic transition: a reassessment of mortality from infectious diseases among over-65s in France and Italy.

OBJECTIVES: To assess more accurately the contribution of infectious diseases (IDs) to mortality at age 65+. METHODS: We use cause-of-death data for France and Italy in 2009. In addition to chapter I of the 10th International Classification of Diseases (ICD-10), our list of IDs includes numerous diseases classified in other chapters. We compute mortality rates considering all death certificate entries (underlying and contributing causes). RESULTS: Mortality rates at age 65+ based on our extended list are more than three times higher than rates based solely on ICD-10 chapter I. IDs are frequently contributing causes of death. In France, the share of deaths at age 65+ involving an ID as underlying cause increases from 2.1 to 7.3 % with the extended list, and to 20.8 % when contributing causes are also considered. For Italy, these percentages are 1.4, 4.2 and 18.7 %, respectively. CONCLUSIONS: Publicly available statistics underestimate the contribution of IDs to the over-65s' mortality. Old age is a risk factor for IDs, and these diseases are more difficult to treat at advanced ages. Health policies should develop targeted actions for that population.

Mortality from Alzheimer's disease, Parkinson's disease, and dementias in France and Italy: a comparison using the multiple cause-of-death approach.

OBJECTIVE: We perform an in-depth analysis of all death certificates collected in France and Italy with an entry of Parkinson's disease (PD), Alzheimer's disease (AD), or another dementia. METHOD: Data are for 2008. We measure how frequently these conditions are the underlying cause of death. We then examine what other causes are reported on the certificates. RESULTS: In both countries, AD is the underlying cause for about 6 in 10 certificates with an AD entry. The proportion is lower for PD and dementia, but higher in France than in Italy. Many contributing causes reflect the circumstances surrounding the end of life in AD, PD, and dementia, often characterized by bed confinement and frailty. DISCUSSION: Our research highlights several consequences of the conditions under study that could be targeted by public health policy. It also speaks to the existence of differences in diagnosis/certification practices that may explain differences in mortality levels.

The peculiar pattern of mortality of Jews in Moscow, 1993-95.

Russian Jews, particularly men, have a large mortality advantage compared with the general Russian population. We consider possible explanations for this advantage using data on 445,000 deaths in Moscow, 1993-95. Log-linear analysis of the distribution of deaths by sex, age, ethnic group, and cause of death reveals a relatively high concentration of endogenous causes and a relatively low concentration of exogenous and behaviourally induced causes among Jews. There is also a significant concentration of deaths from breast cancer among Jewish women. Mortality estimates using the 1994 micro-census population as the denominator reveal an 11-year Russian-Jewish gap in the life expectancy of males at age 20, but only a 2-year life-expectancy gap for women. Only 40 per cent of the Russian-Jewish difference for men, but the entire difference for women, can be eliminated by adjustment for educational differences between the two ethnic groups. Similarities with other Jewish populations and possible explanations are discussed.

Differential patterns of age-related mortality increase in middle age and old age.

It is often assumed that aging is a uniform process throughout adulthood because of the approximately linear increase of logarithmic mortality. We explored this assumption by analyzing cause-specific mortality increases in France (1979-1994). Rising rapidly at ages 30-54 years ("middle age") are death rates from malignant neoplasms at various sites, acute myocardial infarction, hypertensive disease, and liver cirrhosis. Steeply increasing at 65-89 years ("old age") are death rates from certain infectious diseases, particularly of the respiratory system; certain types of accidents; nonalcoholic mental disorders (probably due mainly to Alzheimer's disease and senile dementia); heart failure; cerebrovascular disease; and some "vague" categories. The processes at work may be fundamentally different in these two life history stages, such that the mortality rise in middle age reflects specific chronic diseases that develop prematurely in some high-risk individuals, whereas the mortality increase in old age is dominated by senescent processes that eventually raise the vulnerability of almost all individuals to multiple pathologies.

A new estimate of Ukrainian population losses during the crises of the 1930s and 1940s.

Ukraine experienced two very acute demographic crises during the Soviet era: the 1933 famine and the Second World War. While different estimates of total losses have been produced previously, we have tried here to distinguish the specific impact of the crises on mortality from their impact on fertility and migration. Taking into account all existing sources of registered data and estimates, a painstaking reconstruction of annual demographic changes has been produced and complete annual life tables have been computed for the years 1926-59. Life expectancy at birth fell to a level as low as 10 years for females and 7 for males in 1933 and plateaued around 25 for females and 15 for males in the period 1941-44.