RESUMEN
OBJECTIVE: To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults. METHODS: The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index. The kappa coefficient was used to assess agreement in risk classification for cardiovascular diseases. The positive and negative specific agreement values were calculated as well. The Pearson chi-square (χ2) test was used to assess associations between categorical variables (p<0.05). RESULTS: The majority of the parameters assessed (44%) showed slight (k=0.21 to 0.40) and/or poor agreement (k<0.20), with low values of negative specific agreement. The best agreement was observed between waist circumference and waist-to-height ratio both for the general population (k=0.88) and between sexes (k=0.93 to 0.86). There was a significant association (p<0.001) between the risk of cardiovascular diseases and females when using waist circumference and conicity index, and with males when using neck circumference. This resulted in a wide variation in the prevalence of cardiovascular disease risk (5.5%-36.5%), depending on the parameter and the sex that was assessed. CONCLUSION: The results indicate variability in agreement in assessing risk for cardiovascular diseases, based on anthropometric parameters, and which also seems to be influenced by sex. Further studies in the Brazilian population are required to better understand this issue.
Asunto(s)
Enfermedades Cardiovasculares/etiología , Adolescente , Antropometría , Composición Corporal , Índice de Masa Corporal , Peso Corporal , Brasil/epidemiología , Enfermedades Cardiovasculares/epidemiología , Estudios Transversales , Femenino , Humanos , Masculino , Obesidad Abdominal , Prevalencia , Medición de Riesgo , Factores de Riesgo , Factores Sexuales , Circunferencia de la Cintura , Relación Cintura-Estatura , Adulto JovenRESUMEN
Objective To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults.Methods The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index. The kappa coefficient was used to assess agreement in risk classification for cardiovascular diseases. The positive and negative specific agreement values were calculated as well. The Pearson chi-square (χ2) test was used to assess associations between categorical variables (p<0.05).Results The majority of the parameters assessed (44%) showed slight (k=0.21 to 0.40) and/or poor agreement (k<0.20), with low values of negative specific agreement. The best agreement was observed between waist circumference and waist-to-height ratio both for the general population (k=0.88) and between sexes (k=0.93 to 0.86). There was a significant association (p<0.001) between the risk of cardiovascular diseases and females when using waist circumference and conicity index, and with males when using neck circumference. This resulted in a wide variation in the prevalence of cardiovascular disease risk (5.5%-36.5%), depending on the parameter and the sex that was assessed.Conclusion The results indicate variability in agreement in assessing risk for cardiovascular diseases, based on anthropometric parameters, and which also seems to be influenced by sex. Further studies in the Brazilian population are required to better understand this issue.
Objetivo Investigar a concordância na avaliação do risco para o desenvolvimento de doenças cardiovasculares, a partir de diferentes parâmetros antropométricos, em adultos jovens.Métodos Participaram do estudo 406 universitários, sendo aferidas as medidas de peso, estatura, e perímetros da cintura e cervical. Também foram calculados a relação cintura/estatura e o índice de conicidade. O coeficiente Kappa foi utilizado para avaliar a concordância na classificação do risco para doença cardiovascular. Também foram calculados os índices de concordância específica, positiva e negativa. O teste χ2 de Pearson foi utilizado para avaliar associação entre variáveis categóricas (p<0,05).Resultados A maioria dos parâmetros avaliados (44%) apresentou concordância fraca (k=0,21-0,40) e/ou pobre (k<0,20), acompanhada de baixo valores de concordância específica negativa. A melhor concordância ocorreu entre cintura e cintura/estatura, tanto para a população em geral (k=0,88) como entre os sexos (k=0,93-0,86). Houve associação significativa (p<0,001) entre o risco para doença cardiovascular e o sexo feminino, quando utilizadas as medidas de cintura e índice de conicidade, e com o sexo masculino, quando utilizado perímetro cervical. Isso se traduziu numa grande variação na prevalência de risco para doença cardiovascular (5,5%-36,5%), a depender do parâmetro e do sexo avaliado.Conclusão Houve variabilidade na concordância da avaliação de risco para doença cardiovascular, estabelecido a partir de parâmetros antropométricos, o que parece também ser influenciado pelo sexo. Sugere-se a condução de mais estudos, em população brasileira, para melhor compreensão desta questão.
