Publications by authors named "Rogerio Tosta de Almeida"
Background: Anthropometric indicators have been used in clinical practice and epidemiological studies for screening of health risk factors.
Objectives: To evaluate the individual discriminatory power of body adiposity index (BAI), body mass index (BMI), waist circumference (WC) and waist-hip-ratio (WHR) to identify individuals at risk for coronary heart disease and to evaluate whether combinations of anthropometric indicators of overall obesity with indicators of central obesity improve predictive ability in adults.
Methods: A total of 15,092 participants (54.
Background & Aims: The body adiposity index (BAI) was recently proposed as a better indicator of body adiposity than body mass index in adults. The association between BAI and cardiometabolic risk factors has been widely investigated. However, the strength and magnitude of these associations varied as a function of the endpoint evaluated, the study design, the population investigated, and the cut-off points used.
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- The study analyzed factors that influence adult commuting by biking and walking in Brazil, using data from the ELSA-Brasil study.
- Over 66% of participants were classified as inactive or insufficiently active, with obesity and negative perceptions of safety being significant barriers to active commuting.
- The findings highlight the need for public health policies that address these issues to promote healthier commuting options in Brazil and similar countries.
Background: Anthropometric indicators of abdominal obesity (AOB) estimate the amount of visceral fat tissue which, in turn, is associated with a higher risk of development of cardiovascular diseases. In the past decades, there has been an increase in the frequency of AOB in the brazilian female population, and this represents a major public health problem.
Objective: To evaluate the performance of different cut-off points of the conicity index (C-Index), waist-hip ratio (WHR), waist circumference (WC), and waist-to-height ratio (WHeR) in discriminating high coronary risk (HCR) in women.