OBJECTIVE: Diabetes is a common cause of shortened life expectancy. We aimed to assess the association between diabetes and cause-specific death. RESEARCH DESIGN AND METHODS: We used the pooled analysis of individual data from 12 Spanish population cohorts with 10-year follow-up. Participants had no previous history of cardiovascular diseases and were 35–79 years old. Diabetes status was self-reported or defined as glycemia >125 mg/dL at baseline. Vital status and causes of death were ascertained by medical records review and linkage with the official death registry. The hazard ratios and cumulative mortality function were assessed with two approaches, with and without competing risks: proportional subdistribution hazard (PSH) and cause-specific hazard (CSH), respectively. Multivariate analyses were fitted for cardiovascular, cancer, and noncardiovascular noncancer deaths. RESULTS: We included 55,292 individuals (15.6% with diabetes and overall mortality of 9.1%). The adjusted hazard ratios showed that diabetes increased mortality risk: 1) cardiovascular death, CSH = 2.03 (95% CI 1.63–2.52) and PSH = 1.99 (1.60–2.49) in men; and CSH = 2.28 (1.75–2.97) and PSH = 2.23 (1.70–2.91) in women; 2) cancer death, CSH = 1.37 (1.13–1.67) and PSH = 1.35 (1.10–1.65) in men; and CSH = 1.68 (1.29–2.20) and PSH = 1.66 (1.25–2.19) in women; and 3) noncardiovascular noncancer death, CSH = 1.53 (1.23–1.91) and PSH = 1.50 (1.20–1.89) in men; and CSH = 1.89 (1.43–2.48) and PSH = 1.84 (1.39–2.45) in women. In all instances, the cumulative mortality function was significantly higher in individuals with diabetes. CONCLUSIONS: Diabetes is associated with premature death from cardiovascular disease, cancer, and noncardiovascular noncancer causes. The use of CSH and PSH provides a comprehensive view of mortality dynamics in a population with diabetes.

Background: The impact of the 2019 coronavirus disease (COVID-19) has many facets. This ecological study analysed age-standardized incidence rates by economic level in Barcelona. Methods: We evaluated confirmed cases of COVID-19 in Barcelona (Spain) between 26 February 2020 and 19 April 2020. Districts were classified according to most recent (2017) mean income data. The reference for estimating age-standardized cumulative incidence rates was the 2018 European population. The association between incidence rate and mean income by district was estimated with the Spearman rho. Results: The lower the mean income, the higher the COVID-19 incidence (Spearman rho = 0.83; P value = 0.003). Districts with the lowest mean income had the highest incidence of COVID-19 per 10 000 inhabitants; in contrast, those with the highest income had the lowest incidence. Specifically, the district with the lowest income had 2.5 times greater incidence of the disease, compared with the highest-income district [70 (95% confidence interval 66–73) versus 28 (25–31), respectively]. Conclusions: The incidence of COVID-19 showed an inverse socioeconomic gradient by mean income in the 10 districts of the city of Barcelona. Beyond healthcare for people with the disease, attention must focus on a health strategy for the whole population, particularly in the most deprived areas.

Background: High prevalence of cardiovascular risk factors has been observed in Spain along with low incidence of acute myocardial infarction. Our objective was to determine the trends of cardiovascular risk factor prevalence between 1995 and 2005 in the 35-74-year-old population of Gerona, Spain. Design: Comparison of cross-sectional studies were conducted in random population samples in 1995, 2000, and 2005 at Gerona, Spain. Methods: An electrocardiogram was obtained, along with standardized measurements of body mass index, lipid profile, systolic and diastolic blood pressure, glycaemia, energy expenditure in physical activity, smoking, use of lipid-lowering and antihypertensive medications, and cardiovascular risk. Prevalence of diabetes, hypertension, and obesity was calculated and standardized for age. Results: A total of 7571 individuals (52.0% women) were included (response rate 72%). Low-density lipoprotein cholesterol > 3.4 mmol/l (130 mg/dl) (49.7%) and hypertension (39.1%) were the most prevalent cardiovascular risk factors. In 1995, 2000 and 2005, low-density lipoprotein cholesterol decreased in both men and women: 4.05-3.913.55 mmol/l (156-151-137 mg/dl) and 3.84-3.81-3.40 mmol/l (148-147-131 mg/dl), respectively. Increases were observed in lipid-lowering drug use (5.7-6.3-9.6% in men and 4.0-5.8-8.0% in women), controlled hypertension (14.8-35.4-37.7% in men and 21.3-36.9-45.0% in women); (all P-trends < 0.01), and obesity (greatest for men: 17.5-26.0-22.7%, P-trends = 0.020). Prevalence of myocardial infarction or possibly abnormal Q waves in electrocardiogram also increased significantly (3.9-4.7-6.4%, P-trends = 0.018). Conclusions: The cardiovascular risk factor prevalence change in Gerona was marked in this decade by a shift of total cholesterol and low-density lipoprotein cholesterol distributions to the left, independent of the increase in lipid-lowering drug use, and better hypertension control with increased use of antihypertensive drugs. Eur J Cardiovasc Prev Rehabil 14:653-659 © 2007 The European Society of Cardiology