Qualidade de vida, aptidão aeróbia e indicadores antropométricos de gordura corporal em mulheres a partir da meia-idade

• Ano de defesa: 2017
• Autor(a) principal: Quintanilha, Sergio Silva
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Mato Grosso; Brasil; Faculdade de Educação Física (FEF); UFMT CUC - Cuiabá; Programa de Pós-Graduação em Educação Física
• Palavras-chave em Português: Qualidade de vida; Obesidade; Saúde; Aptidão aeróbia; Teste de caminhada de 6 minutos; CNPQ::CIENCIAS DA SAUDE::EDUCACAO FISICA; Quality of life; Anthropometric indicators; Health; Functional capacity; Six minutes walking test
• Link de acesso: http://ri.ufmt.br/handle/1/4333

Women from middle-age shown alterations in distribution and accumulation of body fat, demonstrated by anthropometric indicators, among them, the neck circumference, besides of gradual reduction of daily lifeactivities, and both result in reduces of aerobic fitness and quality of life (QL), even if set to Body Mass Index (BMI). For this, is possible that aerobic fitness might predict good QL. Objectives:Assess the correlation level between domains of QL, anthropometric indicators, included neck circumference as new indicator, and performance in six-minutes walking test (6MWT), and if this last to predicts the 50 score on the SF-36 (Medical Outcomes Study 36 – Item Short – Form Health Survey) domains of good LQ. Methods: Women (n = 100) with 53.84 ± 0.74 years of age were submitted to two visits : [1] Filling the health history and SF-36; [2] Measurement of body mass, height, neck, waist, abdominal and hip circumferences, followed of the 6MWT to determine the aerobic fitness. BMI, waist-hip ratio (WHR), and walking distance were determined. Statistical Analysis: Kolmogorov-Smirnov, Pearson's correlation tests and/or Spearman-Rank, and receiver operating characteristic (ROC) curve (ROC-curve) respectivelyused to test data normality, to verify the associations, and to determine the sensitivity and specificity between variables of interest, and to verify the possibility of the prediction of a condition, with p≤ 0.05. Results: Only BMI showed significantly association with “role-physical” (r= -0.21) and “bodily pain” (r= -0.20) SF-36 domains, and with 6MWT performance (r= -0.23). 6MWT was associated to “general health” (r = 0.25) and “role-physical” (r= 0.22) SF-36 domains. However, these associations did not remain after BMI adjustments. Finally, the areas under curve showed below 0.7 and were not significant, therefore the 6MWT performance does not predict the score 50 on the SF-36. Conclusion: BMI is the better anthropometric indicator that associated to QL and aerobic fitness by 6MWT, and the 6MWT performance does not predict the score 50 on the SF-36.