Pereira, Priscila Moreira de LimaNeves, Felipe SilvaFontes, Vanessa SequeiraCampos, Angélica Atala LombeloCoelho, George Luiz Lins MachadoFaria, Eliane Rodrigues deNetto, Michele PereiraOliveira, Renata Maria SouzaCândido, Ana Paula Carlos2023-03-282023-03-282022PEREIRA, P. M. de L. et al. Adductor pollicis muscle thickness in Brazilian adolescents and associations with nutritional status, sexual maturation and physical activity (EVA-JF Study). Revista Espanola de Nutricion Humana y Dietetica, v. 26, supl. 2, artigo e1347, 2022. Disponível em: <https://renhyd.org/index.php/renhyd/article/view/1347>. Acesso em: 11 out. 2022.2174-5145http://www.repositorio.ufop.br/jspui/handle/123456789/16453Objective: The present study aims to assess the associations of adductor pollicis muscle thickness (APMT) with age, skin color, sexual maturation, anthropometric indicators and physical activity in Brazilian adolescents. Materials and methods: Cross-sectional study of adolescents aged 14-19 years. Weight, height, body mass index (BMI), arm circumference (AC), APMT, body fat, fat-free mass (FFM), fat-free mass index (FFMI), sexual maturation, time of physical activity and skin color were evaluated. APMT was associated with categorical variables using Mann-Whitney or Kruskal-Wallis tests and correlated with anthropometric variables using Spearman’s correlation. Linear regression was used with APMT as a dependent and the other variables as predictors. Data analysis was carried out in SPSS® software (version 17.0) with a 5% significance level. Results: 828 adolescents were evaluated, 57.6% female, with a mean age of 16.13 ± 1.20 years. APMT had an average value of 18.0 mm in females and 21.0 mm in males. The measure was greater in males, in more advanced stages of sexual maturation, overweight and physical activity. It presented a moderate correlation with FFM, FFMI, body fat and AC. In the final model of multiple linear regression for females, the variables AC and body fat explain 20.1% of the APMT variability. For men, the variables AC and FFMI explain 30.5% of the APMT variability. Conclusion: It is recommended that APMT be used in a complementary manner in the nutritional assessment of adolescents.en-USabertoAnthropometryNutrition assessmentMusclesArtigo publicado em periodicoEsta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional. Fonte: o PDF do artigo.https://doi.org/10.14306/renhyd.26.S2.1347