Where do people live longer and shorter lives? An ecological study of old-age survival across 4404 small areas from 18 European countries

Subnational inequalities in years of life lost and associations with socioeconomic factors in pre-pandemic Europe, 2009-19: an ecological study

BACKGROUND

Health inequalities have been associated with shorter lifespans. We aimed to investigate subnational geographical inequalities in all-cause years of life lost (YLLs) and the association between YLLs and socioeconomic factors, such as household income, risk of poverty, and educational attainment, in countries within the European Economic Area (EEA) before the COVID-19 pandemic.

METHODS

In this ecological study, we extracted demographic and socioeconomic data from Eurostat for 1390 small regions and 285 basic regions for 32 countries in the EEA, which was complemented by a time-trend analysis of subnational regions within the EEA. Age-standardised YLL rates per 100 000 population were estimated from 2009 to 2019 based on methods from the Global Burden of Disease study. Geographical inequalities were assessed using the Gini coefficient and slope index of inequality. Socioeconomic inequalities were assessed by investigating the association between socioeconomic factors (educational attainment, household income, and risk of poverty) and YLLs in 2019 using negative binomial mixed models.

FINDINGS

Between Jan 1, 2009, and Dec 31, 2019, YLLs lowered in almost all subnational regions. The Gini coefficient of YLLs across all EEA regions was 14·2% (95% CI 13·6-14·8) for females and 17·0% (16·3 to 17·7) for males. Relative geographical inequalities in YLLs among women were highest in the UK (Gini coefficient 11·2% [95% CI 10·1-12·3]) and among men were highest in Belgium (10·8% [9·3-12·2]). The highest YLLs were observed in subnational regions with the lowest levels of educational attainment (incident rate ratio [IRR] 1·19 [1·13-1·26] for females; 1·22 [1·16-1·28] for males), household income (1·35 [95% CI 1·19-1·53]), and the highest poverty risk (1·25 [1·18-1·34]).

INTERPRETATION

Differences in YLLs remain within, and between, EEA countries and are associated with socioeconomic factors. This evidence can assist stakeholders in addressing health inequities to improve overall disease burden within the EEA.

FUNDING

Research Council of Norway; Development, and Innovation Fund of Hungary; Norwegian Institute of Public Medicine; and COST Action 18218 European Burden of Disease Network.

Trends in ages at death of Norwegian centenarians: the 1870-1904 birth cohorts

BACKGROUND

With rapidly rising life expectancy and ageing populations, interest has grown in the survival patterns and ages at death at the highest ages. In Scandinavia, the accumulation of very old population segments coupled with long-established, high-quality population registers permit meaningful analysis.

METHODS

This study is based on individual level data from extinct Norwegian birth cohorts using data obtained from the Norwegian Civil Register System. We assess trends in the ages at death of centenarians in Norway for cohorts born between 1870 and 1904 for evidence of any secular increase using quantile regression.

RESULTS

We observed that there is no upward trend in centenarian lifespans, in line with recent observations in Sweden, but contrary to the upward trend at the very highest percentiles as observed in Denmark.

CONCLUSIONS

The available evidence suggests that the stagnation in centenarian lifespans may be partly due to the failure to find ways of dealing with neurodegenerative diseases.

Geographic patterns and hotspots of pediatric tuberculosis: the role of socioeconomic determinants

OBJECTIVE

Children are an important demographic group for understanding overall tuberculosis epidemiology, and monitoring of childhood tuberculosis is essential for appropriate prevention. The present study sought to characterize the spatial distribution of childhood tuberculosis notification rates in continental Portugal; identify high-risk areas; and evaluate the association between childhood tuberculosis notification rates and socioeconomic deprivation.

METHODS

Using hierarchical Bayesian spatial models, we analyzed the geographic distribution of pediatric tuberculosis notification rates across 278 municipalities between 2016 and 2020 and determined high-risk and low-risk areas. We used the Portuguese version of the European Deprivation Index to estimate the association between childhood tuberculosis and area-level socioeconomic deprivation.

RESULTS

Notification rates ranged from 1.8 to 13.15 per 100,000 children under 5 years of age. We identified seven high-risk areas, the relative risk of which was significantly above the study area average. All seven high-risk areas were located in the metropolitan area of Porto or Lisbon. There was a significant relationship between socioeconomic deprivation and pediatric tuberculosis notification rates (relative risk = 1.16; Bayesian credible interval, 1.05-1.29).

CONCLUSIONS

Identified high-risk and socioeconomically deprived areas should constitute target areas for tuberculosis control, and these data should be integrated with other risk factors to define more precise criteria for BCG vaccination.

Epigenetic Effects of Healthy Foods and Lifestyle Habits from the Southern European Atlantic Diet Pattern: A Narrative Review

Recent scientific evidence has shown the importance of diet and lifestyle habits for the proper functioning of the human body. A balanced and healthy diet, physical activity, and psychological well-being have a direct beneficial effect on health and can have a crucial role in the development and prognosis of certain diseases. The Southern European Atlantic diet, also named the Atlantic diet, is a unique dietary pattern that occurs in regions that present higher life expectancy, suggesting that this specific dietary pattern is associated with positive health effects. In fact, it is enriched with nutrients of high biological value, which, together with its cooking methods, physical activity promotion, reduction in carbon footprint, and promoting of family meals, promote these positive effects on health. The latest scientific advances in the field of nutri-epigenetics have revealed that epigenetic markers associated with food or nutrients and environmental factors modulate gene expression and, therefore, are involved with both health and disease. Thus, in this review, we evaluated the main aspects that define the Southern European Atlantic diet and the potential epigenetic changes associated with them based on recent studies regarding the main components of these dietary patterns. In conclusion, based on the information existing in the literature, we postulate that the Southern European Atlantic diet could promote healthy aging by means of epigenetic mechanisms. This review highlights the necessity of performing longitudinal studies to demonstrate this proposal.

Intra-urban variation in tuberculosis and community socioeconomic deprivation in Lisbon metropolitan area: a Bayesian approach

Background

Multidrug resistant tuberculosis (MDR-TB) is a recognized threat to global efforts to TB control and remains a priority of the National Tuberculosis Programs. Additionally, social determinants and socioeconomic deprivation have since long been associated with worse health and perceived as important risk factors for TB. This study aimed to analyze the spatial distribution of non-MDR-TB and MDR-TB across parishes of the Lisbon metropolitan area of Portugal and to estimate the association between non-MDR-TB and MDR-TB and socioeconomic deprivation.

Methods

In this study, we used hierarchical Bayesian spatial models to analyze the spatial distribution of notification of non-MDR-TB and MDR-TB cases for the period from 2000 to 2016 across 127 parishes of the seven municipalities of the Lisbon metropolitan area (Almada, Amadora, Lisboa, Loures, Odivelas, Oeiras, Sintra), using the Portuguese TB Surveillance System (SVIG-TB). In order to characterise the populations, we used the European Deprivation Index for Portugal (EDI-PT) as an indicator of poverty and estimated the association between non-MDR-TB and MDR-TB and socioeconomic deprivation.

Results

The notification rates per 10,000 population of non-MDR TB ranged from 18.95 to 217.49 notifications and that of MDR TB ranged from 0.83 to 3.70. We identified 54 high-risk areas for non-MDR-TB and 13 high-risk areas for MDR-TB. Parishes in the third [relative risk (RR) = 1.281, 95% credible interval (CrI): 1.021–1.606], fourth (RR = 1.786, 95% CrI: 1.420–2.241) and fifth (RR = 1.935, 95% CrI: 1.536–2.438) quintile of socioeconomic deprivation presented higher non-MDR-TB notifications rates. Parishes in the fourth (RR = 2.246, 95% CrI: 1.374–3.684) and fifth (RR = 1.828, 95% CrI: 1.049–3.155) quintile of socioeconomic deprivation also presented higher MDR-TB notifications rates.

Conclusions

We demonstrated significant heterogeneity in the spatial distribution of both non-MDR-TB and MDR-TB at the parish level and we found that socioeconomically disadvantaged parishes are disproportionally affected by both non-MDR-TB and MDR-TB. Our findings suggest that the emergence of MDR-TB and transmission are specific from each location and often different from the non-MDR-TB settings. We identified priority areas for intervention for a more efficient plan of control and prevention of non-MDR-TB and MDR-TB.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s40249-022-00949-1.

Mapping Geographical Patterns and High Rate Areas for Sexually Transmitted Infections in Portugal: A Retrospective Study Based on the National Epidemiological Surveillance System

OBJECTIVE

Monitoring disease variation using finer scales to identify high-rate communities is a critical aspect for precision public health and for efficient resource allocation. This study aimed to map the spatial patterns of chlamydia, gonorrhea, and syphilis; identify high-rate areas across Portuguese municipalities; and determine the association of these sexually transmitted infections (STIs) with socioeconomic deprivation, urbanicity level, and population density.

METHODS

The STI notifications at municipality level for the period 2015 to 2017 were obtained from Portugal's Epidemiologic Surveillance System (Sistema Nacional de Vigilância Epidemiológica). Spatial Bayesian models were used to calculate smoothed standardized notification rates, identify high- and low-rate areas and estimate associations (relative risk [RR], 95% credible intervals [95%CrI]).

RESULTS

There were 4819 cases of chlamydia, gonorrhea, and syphilis reported, accounting for 15.3%, 33.2%, and 51.5% of the notifications, respectively. The STI notification rates were substantially higher in Porto and Lisbon Metropolitan Areas and concentrically disperse around those. Notification rates of the 3 STIs were strongly correlated (r > 0.8). Rates of gonorrhea (Q1-lowest density vs. Q5-highest RR, 2.10; 95% CrI, 1.08-4.25) and syphilis (RR, 3.16; 95% CrI, 2.00-5.13) were associated with population density. Notifications of chlamydia (Q1-least urban vs. Q5-most RR, 9.64; 95% CrI, 1.73-93.59) and syphilis (RR, 1.92; 95% CrI, 1.30-2.88) increased with urbanicity level. We also found that notification rates of gonorrhea were associated with socioeconomic deprivation (Q1-least vs. Q5-most deprived RR, 1.75; 95% CrI, 1.07-2.88).

CONCLUSIONS

Wide spatial inequalities in STI notification rates were observed, which were predominantly concentrated in the 2 metropolitan areas of the country. Our findings can help guide more targeted interventions to reduce STIs incidence.

Using Bayesian spatial models to map and to identify geographical hotspots of multidrug-resistant tuberculosis in Portugal between 2000 and 2016

Multidrug-resistant tuberculosis (MDR-TB) is a major threat to the eradication of tuberculosis. TB control strategies need to be adapted to the necessities of different countries and adjusted in high-risk areas. In this study, we analysed the spatial distribution of the MDR- and non-MDR-TB cases across municipalities in Continental Portugal between 2000 and 2016. We used Bayesian spatial models to estimate age-standardized notification rates and standardized notification ratios in each area, and to delimitate high- and low-risk areas, those whose standardized notification ratio is significantly above or below the country’s average, respectively. The spatial distribution of MDR- and non-MDR-TB was not homogeneous across the country. Age-standardized notification rates of MDR-TB ranged from 0.08 to 1.20 and of non-MDR-TB ranged from 7.73 to 83.03 notifications per 100,000 population across the municipalities. We identified 36 high-risk areas for non-MDR-TB and 8 high-risk areas for MDR-TB, which were simultaneously high-risk areas for non-MDR-TB. We found a moderate correlation (ρ = 0.653; 95% CI 0.457–0.728) between MDR- and non-MDR-TB standardized notification ratios. We found heterogeneity in the spatial distribution of MDR-TB across municipalities and we identified priority areas for intervention against TB. We recommend including geographical criteria in the application of molecular drug resistance to provide early MDR-TB diagnosis, in high-risk areas.

Cardiometabolic risk factors associated with educational level in older people: comparison between Norway and Brazil

BACKGROUND

The non-communicable diseases are the major causes of death both worldwide and in high-income countries such as Norway. Understanding whether policy programs affect the health of older adults, especially considering different realities, is crucial. We aimed to analyse cardiometabolic risk factors associated with educational level in elderly people from Norway and Brazil.

METHODS

A total of 555 elderly people recruited from Trondheim, Norway (n = 310, age 70.7 ± 0.8 years, body mass index (BMI) 26.2 ± 3.9 kg/m2) and from Ribeirao Preto, Brazil (n = 245, age 64.1 ± 8.1 years, BMI 28.2 ± 5.5 kg/m2). All analyses were adjusted for age and sex, considering country as an independent variable. The significance level considered was P < 0.05.

RESULTS

Brazilian people presented a higher incidence of overweight and higher waist circumference (WC) compared to Norwegian (28.2 ± 5.5 kg/m2 and 97.0 ± 14.7 cm versus 26.4 ± 3.9 kg/m2 and 92.1 ± 11.2 cm, respectively). When classified by education level, Brazilians presented higher values for BMI, WC and triglycerides (TG) than Norwegians with the same level of education (incomplete higher education), while Norwegians presented higher values for systolic blood pressure (SBP), cholesterol total (CT), high-density lipoprotein (HDL)-cholesterol, LDL-cholesterol and handgrip strength.

CONCLUSIONS

Both nationalities presented important cardiometabolic risk factors. However, when considering a low level of education, the Brazilian elderly people presented more cardiometabolic risk factors than Norwegians.

What do we know about the variability in survival of patients with amyotrophic lateral sclerosis?

INTRODUCTION

ALS is a fatal neurodegenerative disease. However, patients show variability in the length of survival after symptom onset. Understanding the mechanisms of long survival could lead to possible avenues for therapy.

AREAS COVERED

This review surveys the reported length of survival in ALS, the clinical features that predict survival in individual patients, and possible factors, particularly genetic factors, that could cause short or long survival. The authors also speculate on possible mechanisms.

EXPERT OPINION

a small number of known factors can explain some variability in ALS survival. However, other disease-modifying factors likely exist. Factors that alter motor neurone vulnerability and immune, metabolic, and muscle function could affect survival by modulating the disease process. Knowing these factors could lead to interventions to change the course of the disease. The authors suggest a broad approach is needed to quantify the proportion of variation survival attributable to genetic and non-genetic factors and to identify and estimate the effect size of specific factors. Studies of this nature could not only identify novel avenues for therapeutic research but also play an important role in clinical trial design and personalized medicine.

Generalizability of the Self-Care of Diabetes Inventory Across Cultures and Languages: Italy and the United States

Measuring self-care behaviors is crucial in diabetes research worldwide. Having a common measure of self-care represents an unmet need limiting the development of the science. The Self-Care of Diabetes Inventory was developed to address limitations of previous tools that were not theoretically grounded, strong in psychometrics, and clinically validated. However, the generalizability and comparability of the Self-Care of Diabetes Inventory has not been tested across cultures and languages. The aim of this study was to test the invariance of the Self-Care of Diabetes Inventory measurement model between Italy and the United States. Data from two multicenter cross-sectional studies were used. Two diabetes clinics and two hospitals in Italy and the United States were involved. We enrolled 200 adults in Italy and 226 in the United States, all with a confirmed diagnosis of type 1 or type 2 diabetes. The Self-Care of Diabetes Inventory was used to measure self-care maintenance, monitoring, and management behaviors as described in the middle range theory of self-care of chronic illness. Configural, metric, scalar, and strict invariance were tested for each scale. Three of the four measurement equivalence levels were supported in the three Self-Care of Diabetes Inventory Scales, whereas strict invariance-the highest level-was reached only by the Self-Care Maintenance and Self-Care Monitoring Scales. Clear support for the use of the Self-Care of Diabetes Inventory in diabetes research was provided. Cross-national comparisons of self-care between groups of Italian and U.S. patients are supported, based on the invariance of the measurement model. Aggregation of research data obtained using the Self-Care of Diabetes Inventory across countries could support knowledge development in the field of diabetes self-care.

Does community deprivation determine longevity after the age of 75? A cross-national analysis

OBJECTIVES

Analyze the association between socioeconomic deprivation and old-age survival in Europe, and investigate whether it varies by country and gender.

METHODS

Our study incorporated five countries (Portugal, Spain, France, Italy, and England). A 10-year survival rate expressing the proportion of population aged 75-84 years who reached 85-94 years old was calculated at area-level for 2001-11. To estimate associations, we used Bayesian spatial models and a transnational measure of deprivation. Attributable/prevention fractions were calculated.

RESULTS

Overall, there was a significant association between deprivation and survival in both genders. In England that association was stronger, following a dose-response relation. Although lesser in magnitude, significant associations were observed in Spain and Italy, whereas in France and Portugal these were even weaker. The elimination of socioeconomic differences between areas would increase survival by 7.1%, and even a small reduction in socioeconomic differences would lead to a 1.6% increase.

CONCLUSIONS

Socioeconomic deprivation was associated with survival among older adults at ecological-level, although with varying magnitude across countries. Reasons for such cross-country differences should be sought. Our results emphasize the importance of reducing socioeconomic differences between areas.

Residents' Dissatisfaction and All-Cause Mortality. Evidence from 74 European Cities

Background: About 2/3 of the Europeans reside in cities. Thus, we must expand our knowledge on how city characteristics affect health and well-being. Perceptions about cities' resources and functioning might be related with health, as they capture subjective experiences of the residents. We characterized the health status of 74 European cities, using all-cause mortality as indicator, and investigated the association of mortality with residents' dissatisfaction with key domains of urban living.

Methods: We considered 74 European cities from 29 countries. Aggregated data on residents' dissatisfaction was obtained from the Flash Eurobarometer, Quality of life in European cities (2004–2015). For each city a global dissatisfaction score and a dissatisfaction score by domain (environment, social, economic, healthcare, and infrastructures/services) were calculated. Data on mortality and population was obtained from the Eurostat. Standardized Mortality Ratios, SMR, and 95% Confidence Intervals (95% CI) were calculated. The association between dissatisfaction scores and SMR was estimated using Generalized Linear Models.

Results: SMR varied markedly (range: 73.2–146.5), being highest in Eastern Europe and lowest in the South and Western European cities. Residents' dissatisfaction levels also varied greatly. We found a significant association between city SMR and residents' dissatisfaction with healthcare (β = 0.334; IC 95% 0.030–0.639) and social environment (β = 0.239; IC 95% 0.015–0.464). No significant association was found with the dissatisfaction scores related with the physical and economic environment and the infrastructures/services.

Conclusions: We found a significant association between city levels of mortality and residents' dissatisfaction with certain urban features, suggesting subjective assessments can be also used to comprehend urban health.

The influence of socioeconomic, biogeophysical and built environment on old-age survival in a Southern European city

Old-age survival is a good indicator of population health and regional development. We evaluated the spatial distribution of old-age survival across Porto neighbourhoods and its relation with physical (biogeophysical and built) and socioeconomic factors (deprivation). Smoothed survival rates and odds ratio (OR) were estimated using Bayesian spatial models. There were important geographical differentials in the chances of survival after 75 years of age. Socioeconomic deprivation strongly impacted old-age survival (Men: least deprived areas OR=1.31(1.05-1.63); Women OR=1.53(1.24-1.89)), explaining over 40% of the spatial variance. Walkability and biogeophysical environment were unrelated to old-age survival and also unrelated to socioeconomic deprivation, being fairly evenly distributed through the city.

Prevalence and impact of Clostridium difficile infection in elderly residents of long-term care facilities, 2011: A nationwide study

The elderly population is particularly vulnerable to Clostridium difficile infection (CDI), but the epidemiology of CDI in long-term care facilities (LTCFs) is unknown.We performed a retrospective cohort study and used US 2011 LTCF resident data from the Minimum Data Set 3.0 linked to Medicare claims. We extracted CDI cases based on International Classification of Diseases-9 coding, and compared residents with the diagnosis of CDI to those who did not have a CDI diagnosis during their LTCF stay. We estimated CDI prevalence rates and calculated 3-month mortality rates.The study population consisted of 2,190,613 admissions (median age 82 years; interquartile range 76-88; female to male ratio 2:1; >80% whites), 45,500 of whom had a CDI diagnosis. The nationwide CDI prevalence rate was 1.85 per 100 LTCF admissions (95% confidence interval [CI] 1.83-1.87). The CDI rate was lower in the South (1.54%; 95% CI 1.51-1.57) and higher in the Northeast (2.29%; 95% CI 2.25-2.33). Older age, white race, presence of a feeding tube, unhealed pressure ulcers, end-stage renal disease, cirrhosis, bowel incontinence, prior tracheostomy, chemotherapy, and chronic obstructive pulmonary disease were independently related to "high risk" for CDI. Residents with a CDI diagnosis were more likely to be admitted to an acute care hospital (40% vs 31%, P < 0.001) and less likely to be discharged to the community (46% vs 54%, P < 0.001) than those not reported with CDI during stay. Importantly, CDI was associated with higher mortality (24.7% vs 18.1%, P = 0.001).CDI is common among the elderly residents of LTCFs and is associated with significant increase in 3-month mortality. The prevalence is higher in the Northeast and risk stratification can be used in CDI prevention policies.