Insulin resistance can be assessed by the Triglyceride-Glucose Index (TyG), a simple, low-cost, and easy-to-apply method. To assess the predictive capacity of the TyG index about cardiovascular risk and identify its cutoff point in a population at cardiometabolic risk. Cross-sectional study with 264 individuals at cardiometabolic risk (54.9% women, age: 43.1 ± 16.3 years). Demographic, anthropometric, clinical-laboratory, and lifestyle data were collected. The TyG index was determined using the formula Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg (dL)/2]. The ten-year cardiovascular risk was assessed by the Framingham risk score (FRS). The receiver operating characteristic curve (ROC) was used to define the cutoff point for the TyG index, and the associations were tested by Poisson regression. ROC curve analysis indicated an area under the curve of 0.678 (95% CI = 0.618–0.734; p < 0.001), with a cutoff of 9.04 (sensitivity = 62.5%, specificity = 66.7%, positive predictive value = 29.4% and negative predictive value = 88.9%). Elevated TyG values ​​(≥9.04) were positively associated with cardiometabolic risk factors (total cholesterol, LDL, VLDL, uric acid, alanine aminotransferase, aspartate aminotransferase, waist-hip ratio, systolic blood pressure, HOMA-IR, smoking, metabolic syndrome, diabetes, and hepatic steatosis). After adjustment for confounding factors, individuals with high TyG showed an increase of 69% (RP = 1.69; 95%CI = 1.03–2.78) in the prevalence of intermediate/high risk by FRS, compared to those with low TyG. The TyG index showed a good predictive capacity for cardiovascular risk in ten years assessed by the FRS.

A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.

Purpose This study examined gender differences in the association between work–family conflict and self-rated health and evaluated the effect of educational attainment. Method We used baseline data from ELSA-Brasil, a cohort study of civil servants from six Brazilian state capitals. Our samples included 12,017 active workers aged 34–72 years. Work–family conflict was measured by four indicators measuring effects of work on family, effects of family in work and lack of time for leisure and personal care. Results Women experienced more frequent work–family conflict, but in both genders, increased work–family conflict directly correlated with poorer self-rated health. Women’s educational level interacted with three work–family conflict indicators. For time-based effects of work on family, highly educated women had higher odds of suboptimal self-rated health (OR = 1.54; 95 % CI = 1.19–1.99) than less educated women (OR = 1.14; 95 % CI = 0.92–1.42). For strain-based effects of work on family, women with higher and lower education levels had OR = 1.91 (95 % CI 1.48–2.47) and OR = 1.40 (95 % CI 1.12–1.75), respectively. For lack of time for leisure and personal care, women with higher and lower education levels had OR = 2.60 (95 % CI = 1.95–3.47) and OR = 1.11 (95 % CI = 0.90–1.38), respectively. Conclusion Women’s education level affects the relationship between work–family conflict and self-rated health. The results may contribute to prevention activities.

Objective: The present study aimed to investigate whether the visceral adiposity index (VAI) is an effective predictor to identify unhealthy metabolic phenotype by comparing normal-weight and overweight individuals.Design: A population-based cross-sectional study. Data were collected by interviews, anthropometric evaluation, dietetic, clinical and laboratory tests. The area under the receiver-operating characteristic curve (AUC) and prevalence ratio (PR), obtained from Poisson regression, were used to compare the predictive capacity of the obesity indicators evaluated (VAI, BMI, waist and neck circumference, waist-to-height and waist-to-hip ratios) and their association with the unhealthy metabolic phenotype. All analyses were stratified by sex and by nutritional status.Setting: Viçosa, Minas Gerais, Brazil.Participants: A total of 854 Brazilian adults (20–59 years old) of both sexes.Results: VAI was the best predictor for unhealthy metabolic phenotype among men (AUC = 0·865) and women (AUC = 0·843) at normal weight. VAI also had the best predictive capacity among overweight women (AUC = 0·903). Among overweight men, its accuracy (AUC = 0·830) was higher than that of waist-to-hip ratio. In the adjusted regression models, VAI was the indicator most strongly associated with the unhealthy metabolic phenotype, especially among those with normal weight (PR = 6·74; 95 % CI 3·15, 14·42 for men; PR = 7·14; 95 % CI 3·79, 13·44 for women).Conclusions: VAI has better predictive capacity in detecting unhealthy metabolic phenotype than conventional anthropometric indicators, regardless of nutritional status and sex.