Browsing by Author "de Oliveira Alvim, Rafael"

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    Body mass index is superior to other body adiposity indexes in predicting incident hypertension in a highly admixed sample after 10-year follow-up: The Baependi Heart Study
    (2022) Maciel de Oliveira, Camila; Franca da Rosa, Francielle; de Oliveira Alvim, Rafael; Mourao Junior, Carlos Alberto; Bacells, Mercedes; Liu, Chunyu; Pavani, Jessica; Capasso, Robson; Lavezzo Dias, Fernando Augusto; Eduardo Krieger, Jose; Costa Pereira, Alexandre
    Hypertension is the leading cause of overall mortality in low- and middle-income countries. In Brazil, there is paucity of data on the determinants of incident hypertension and related risk factors. We aimed to determine the incidence of hypertension in a sample from the Brazilian population and investigate possible relationships with body adiposity indexes. We assessed risk factors associated with cardiovascular disease, including adiposity body indexes and biochemical analysis, in a sample from the Baependi Heart Study before and after a 10-year follow-up. Hypertension was defined by the presence of systolic blood pressure (SBP) >= 140 mmHg and/or diastolic blood pressure >= 90 mmHg or the use of antihypertensive drugs. From an initial sample of 1693 participants, 498 (56% women; mean age 38 +/- 13 years) were eligible to be included. The overall hypertension incidence was 24.3% (22.3% in men and 25.6% in women). Persons who developed hypertension had higher prevalence of obesity, higher levels for blood pressure, higher frequency of dyslipidemia, and higher body adiposity indexes at baseline. The best prediction model for incident hypertension includes age, sex, HDL-c, SBP, and Body Mass Index (BMI) [AUC = 0.823, OR = 1.58 (95% CI 1.23-2.04)]. BMI was superior in its predictive capacity when compared to Body Adiposity Index (BAI), Body Roundness Index (BRI), and Visceral Adiposity Index (VAI). Incident hypertension in a sample from the Brazilian population was 24.3% after 10-year follow-up and BMI, albeit the simpler index to be calculated, is the best anthropometric index to predict incident hypertension.
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    Relationship between marital status and incidence of type 2 diabetes mellitus in a Brazilian rural population: The Baependi Heart Study
    (2020) de Oliveira, Camila Maciel; Viater Tureck, Luciane; Alvares, Danilo; Liu, Chunyu; Horimoto, Andrea Roseli Vancan Russo; Balcells, Mercedes; de Oliveira Alvim, Rafael; Krieger, Jose Eduardo; Pereira, Alexandre Costa
    Many factors influence the incidence of type 2 diabetes mellitus (T2DM). Here, we investigated the associations between socio-demographic characteristics and familial history with the 5-year incidence of T2DM in a family-based study conducted in Brazil. T2DM was defined as baseline fasting blood glucose >= 126 mg/dL or the use of any hypoglycaemic drug. We excluded individuals with T2DM at baseline or if they did not attend two examination cycles. After exclusions, we evaluated a sample of 1,125 participants, part of the Baependi Heart Study (BHS). Mixed-effects logistic regression models were used to assess T2DM incident given different characteristics. At the 5-year follow-up, the incidence of T2DM was 6.7% (7.2% men and 6.3% women). After adjusting for age, sex, and education status, the model that combined marital and occupation status, skin color, and familial history of T2DM provided the best prediction for T2DM incidence. Only marital status was independently associated with T2DM incidence. Individuals that remained married, despite having significantly increased their weight, were significantly less likely to develop diabetes than their divorced counterparts.