The prevalence of diabetes has been growing worldwide. This study aimed to estimate the prevalence of self-reported diabetes in Brazil in 2019, to describe its evolution from 2013, and to evaluate the role of population growth, aging, and other factors in the changes found. The 2019 Brazilian National Health Survey, a nationally representative cross-sectional survey, queried a physician diagnosis of diabetes in a probabilistic multistage cluster sample. The crude prevalence of known diabetes in 2019 was 7.7% (7.4%-8.0%), a 24% relative increase to the prevalence of 2013. Though this increase was greater in men (30%) than women (20%), 2019 prevalence remained higher in women (8.4%) than in men (6.9%). Age-adjusted prevalence was uniformly lower in the North region, and uniformly higher in the Southeast and Central-West regions. In 2019, 12.3 million cases of diabetes were found, a 36.4% increase from the 9.0 million in 2013. Drivers of this rise include increase in size (9.9%) and aging (1.8%) of the Brazilian population, and to all other factors, including increased case-detection and incidence, as well as decreased diabetes mortality (24.7%). Main correlates of greater prevalence - adjusted by the Poisson regression with robust variance - were older age (PR = 27.2, 95%CI: 1.2-42.9 for ≥ 65 years vs. 18-24 years), hypertension (PR = 2.6, 95%CI: 2.4-2.8 vs. normotension), and obesity (PR = 2.3, 95%CI: 2.1-2.5 vs. BMI < 25kg/m2). Those with a complete higher education had a 40% lower prevalence (PR = 0.6; 95%CI: 0.54-0.70 vs. incomplete elementary education). In conclusion, accompanying a worldwide trend, Brazil presents an increasing prevalence of diabetes throughout its regions, posing a huge burden to its population and health systems.

Objectives: Rheumatic mitral stenosis (MS) is a progressive disease, and risk of death may persist despite relief of the obstruction. Net atrioventricular compliance (C_n) modulates the overall haemodynamic burden of the MS and may be useful in predicting cardiovascular death after percutaneous mitral valvuloplasty (PMV). Methods: A total of 427 patients (mean age 50±16 years, 84% female) with severe MS undergoing PMV were enrolled. Doppler-derived C_n was estimated at baseline using a previously validated equation. The primary endpoint was late cardiovascular death, and the secondary endpoint was a composite of all-cause mortality, mitral valve (MV) replacement or repeat PMV over a median follow-up of 31 months (IQR: 7.8–49.2 months). Results: At baseline, 209 patients (49%) were in New York Heart Association (NYHA) functional class III or IV. During follow-up, 49 patients died (41 cardiovascular deaths), 50 underwent MV replacement and 12 required repeat PMV, with an overall incidence of cardiac mortality and adverse events of 4.1 deaths and 11.1 events per 100 patient-years, respectively. Low baseline C_n was a strong predictor of both cardiac death (adjusted HR 0.70, 95% CI 0.49 to 0.86) and composite endpoint (adjusted HR 0.81, 95% CI 0.67 to 0.91) after adjusting for clinical factors, baseline pulmonary artery pressure, tricuspid regurgitation severity, right ventricular function and immediate procedural haemodynamic data. The inclusion of C_n in a model with conventional parameters resulted in improvement in 5-year cardiovascular mortality risk prediction. Conclusions: Baseline C_n is a strong predictor of cardiovascular death in patients with MS undergoing PMV, independent of other prognostic markers of decreased survival in MS, including baseline patient characteristics and postprocedural data. C_n assessment therefore has potential value in evaluation of cardiovascular mortality risk in the setting of MS.

The relationship between 24-hr movement behavior and specific domains of cognitive function is unclear. The purpose of this study was to identify the joint association of daily time spent in light (light-intensity physical activity [LPA]) and moderate-to-vigorous physical activity (MVPA), sedentary behavior (SB), and sleep with cognitive function in middle-aged and older adults. Cross-sectional data from Wave 3 (2017–2019) of the Brazilian Longitudinal Study of Adult Health were analyzed. The study included adults aged 41–84 years old. Physical activity was assessed using a waist-worn accelerometer. Cognitive function was examined using standardized tests to assess memory, language, and Trail-Making test. Global cognitive function score was calculated by averaging domain-specific scores. Compositional isotemporal substitution models were performed to identify the association between the reallocation of time spent in LPA, MVPA, sleep, and SB with cognitive function. Participants (n = 8,608) were 55.9% female (mean age 58.9 [8.6] years). Reallocating time from SB to MVPA was associated with higher cognitive function: Reallocating 15 min to MVPA by reducing 5 min from each other behavior was associated with increased odds of better cognitive function in both insufficient (<7 hr/day; odds ratio [OR]: 0.64; 95% confidence interval [CI]: 0.54–0.77) and sufficient (≥7 hr/day; OR: 0.62; 95% CI: 0.58–0.67) sleep groups. Among those with insufficient sleep, reallocating time to MVPA and sleep from SB was associated with higher global cognitive performance. Small reductions in SB and increments in MVPA were associated with higher cognitive function in middle-aged and older adults.