Chagas disease is not associated with diabetes, metabolic syndrome, insulin resistance and beta cell dysfunction at baseline of Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).

Chagas disease (ChD) affects millions of people worldwide, being endemic in Latin America and emerging in the United States and Europe. Classically described as targeting the heart and gastrointestinal tract, Trypanosoma cruzi parasitism leads to structural and pro-inflammatory changes in the adipose tissue and pancreas. The effects of these changes on insulin resistance (IR), beta cell dysfunction, diabetes mellitus (DM),and metabolic syndrome (MS) are unclear. We aim to evaluate the association of ChD with DM, IR, beta cell dysfunction and MS in the baseline of multi-centric cohort study 'Brazilian Longitudinal Study of Adult Health' (ELSA-Brasil). This cross-sectional analysis included 14,922 (98%) participants of ELSA-Brasil at baseline. To investigate the associations of ChD with DM, IR (assessed by HOMA-IR) and beta cell dysfunction (assessed by HOMA beta), and MS we fitted logistic regression models including socio-demographic and anthropometric variables, health-related conditions and laboratory results. ChD, defined by positive serology, was prevalent in 1.9% (n = 283) of the sample, 17.3% (n = 49) of whom had cardiomyopathy. DM prevalence was 17.25% (n = 2574) and was not different among those with and without ChD (20.5% vs 17.2%; p = 0.28). Fasting and 2 h-blood glucose after a 75 g anhydrous glucose were slightly higher among participants positive for ChD, when compared with those with negative serology (102 mg/dL versus 100 mg/dL, respectively; and 127 mg/dL versus 124 mg/dL, respectively), only in univariate analysis. There was no significant association between these variables and ChD after adjustments. In addition, there was no significant association between DM, IR, beta cell dysfunction or MS and ChD (without and with cardiomyopathy). Our results showed that ChD, regardless of the presence of cardiomyopathy, is not associated with DM, IR, beta cell dysfunction or MS. These findings suggest the parasitism of the adipose tissue and pancreas in Chagas disease do not translate into clinically relevant glucose abnormalities.

Association between diabetes and cognitive function at baseline in the Brazilian Longitudinal Study of Adult Health (ELSA- Brasil).

Diabetes has been associated with cognitive changes and an increased risk of vascular dementia and Alzheimer's disease, but it is unclear whether there are associations between diabetes and early alterations in cognitive performance. The present study consisted of a cross-section analysis of 14,444 participants aged 35-74 years and from a developing country at baseline in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil); these participants were recruited between 2008 and 2010. We investigated whether there was an association between diabetes and early changes in the cognitive performance of this Brazilian population. To assess cognitive domains, we used the word-list learning, word-list delayed recall and word recognition tests along. Phonemic verbal fluency tests included semantic phonemic test (animals) and a phonemic test (words beginning with the letter F). Executive functions associated with attention, concentration and psychomotor speed were evaluated using the Trail Making Test B. The exposure variable in the study was defined as diabetes. Multiple linear regression was used to estimate the association between diabetes and cognitive performance. The results were adjusted for age, sex, education, hypertension, coronary disease, depression, physical activity, smoking, alcohol consumption, and the cholesterol/HDL-C ratio. We found a significant association between diabetes and decreased memory, language and executive function (attention, concentration and psychomotor speed) performance in this population from a country with a distinct epidemiological profile, even after adjusting for the main intervening variables.

Exploring the User Engagement Scale Short Form as a Determinant of Adherence in Digital Health Interventions.

Adherence determines the impact of digital health interventions. Standard tools provide a measure for user experience and predict adherence. We evaluated the User Engagement Scale Short Form (UES-SF) during the POEmaS project, a randomized clinical trial of an online weight loss platform. We received answers from 178 participants (13.7% of the cohort) and correlated the UES-SF scores with the number of sessions attended. Our findings suggest the UES-SF is an accurate evaluation of user experience, but only one domain (reward) was associated with long-term use.