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Older adults, females, those of lower educational level and not physically active had lower HGS levels. The adoption of standardization in relation to specific cutoff points for HGS classification becomes necessary in order to allow better comparison of results.

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Objective:To estimate the prevalence of abdominal obesity and verify the association with sociodemographic factors (gender, school shift, ethnicity, age, maternal education and economic status) and lifestyle (alcohol consumption, sleep, soft drink consumption, level of physical activity and sedentary behavior) in adolescents in Southern Brazil.Methods:This was a cross-sectional epidemiological study of 930 adolescents (490 girls) aged 14–19 years, living in the city of São José, SC, Brazil. A self-administered questionnaire was used to collect sociodemographic and lifestyle data. Abdominal obesity was measured through the waist circumference and analyzed according to gender and age. Descriptive statistics (absolute and relative frequency, mean and standard deviation) and binary logistic regression, expressed as Odds Ratios (OR) and 95% confidence interval (95%CI) were employed, with p<0.05 being considered statistically significant; the SPSS 17.0 software was used for the statistical analyses.Results:The prevalence of abdominal obesity was 10.6% for the total sample (10.5% male, 10.8% female). Adolescents that watched television daily for two or more hours (OR=2.11, 95%CI 1.08–4.13) had a higher chance of having abdominal obesity and adolescents whose mothers had fewer than eight years of schooling (OR=0.56; 95%CI from 0.35 to 0.91) had a lower chance of having abdominal obesity.Conclusions:Approximately one in 10 adolescents had abdominal obesity; the associated factors were maternal schooling (≥8 years) and television screen time (≥2h/day).

Approximately one in 10 adolescents had abdominal obesity; the associated factors were maternal schooling (≥8 years) and television screen time (≥2hours/day).

BIA was suitable for evaluating FFM and LSTM in children and adolescents with an HIV diagnosis. For FM, %BF and BMC, BIA was not suitable for performing an evaluation in both sexes.

The aim of this study was to assess the validity of traditional anthropometric equations and to develop predictive equations of total body and trunk fat for children and adolescents living with HIV based on anthropometric measurements. Forty-eight children and adolescents of both sexes (24 boys) aged 7-17 years, living in Santa Catarina, Brazil, participated in the study. Dual-energy X-ray absorptiometry was used as the reference method to evaluate total body and trunk fat. Height, body weight, circumferences and triceps, subscapular, abdominal and calf skinfolds were measured. The traditional equations of Lohman and Slaughter were used to estimate body fat. Multiple regression models were fitted to predict total body fat (Model 1) and trunk fat (Model 2) using a backward selection procedure. Model 1 had an R=0.85 and a standard error of the estimate of 1.43. Model 2 had an R=0.80 and standard error of the estimate=0.49. The traditional equations of Lohman and Slaughter showed poor performance in estimating body fat in children and adolescents living with HIV. The prediction models using anthropometry provided reliable estimates and can be used by clinicians and healthcare professionals to monitor total body and trunk fat in children and adolescents living with HIV.

A força muscular é necessária para realização de atividades diárias, sendo considerada marcador de saúde global. O objetivo deste estudo foi estimar a prevalência de baixos níveis de força de preensão manual (FPM) em adolescentes e verificar fatores (sociodemográficos, estilo de vida e status de peso) correlatos. A população de escolares da cidade de São José, SC, Brasil, era formada por 5.182 estudantes. Para o presente estudode base escolar e delineamento transversal, 923 adolescentes de 14 a 19 anos de idade foram avaliados. Analisou-se a FPM por meio de dinamometria manual e protocolo proposto pela Sociedade Canadense de Fisiologia do Exercício cujo ponto de corte para baixos níveis de força é ≤ 53,0 kgf para meninas e ≤ 83,0 kgf para meninos. As variáveis independentes analisadas foram idade, escolaridade paterna e materna, rendafamiliar, atividade física, tabagismo, hábitos alimentares e status de peso. Utilizou-se teste T de Student, U de Mann-Whitney e regressão logística binária para estimar as razões de chances e intervalos de confiança de 95%. A prevalência de baixos níveis de FPM foi de 59,7% nas meninas e 66,3% nos meninos. As meninas que não faziam ingestão de bebidas alcoólicas em excesso e eutróficas, e os meninos cujas mães estudaramaté oito anos e de renda baixa foram os subgrupos com maiores chances de baixos níveis de força de FPM. Esforços para aumentar os níveis de FPM devem ser focados nas meninas com status do peso normal e meninos cujas mães têm menor escolaridade e renda. Futuros inquéritos com delineamento longitudinal devem ser propostos para identificar preditores dos baixos níveis de força muscular em adolescentes.