Diagnostic Accuracy of Anthropometric Indicators in the Prediction of Urinary Incontinence in Physically Active Older Women

• Autor(a) principal: Menezes,Enaiane Cristina
• Data de Publicação: 2016
• Outros Autores: Virtuoso,Janeisa Franck, Capeletto,Eduardo, Silva,Lislayne Luiza da, Chagas,Jodelle Machado, Mazo,Giovana Zarpellon
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista brasileira de ginecologia e obstetrícia (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-72032016000800399
• topic: anthropometry; ROC curve; urinary incontinence

Abstract Purpose To determine the diagnostic accuracy and the cutoff point of the variables conicity index, waist to height ratio and fat percentage to detect urinary incontinence in physically active older women. Method A total of 152 women were analyzed. The instruments used were the International Physical Activity Questionnaire (IPAQ [Area 4]) to check the level of physical activity, and the Diagnostic Form to obtain sociodemographic data and presence of urinary incontinence. To calculate the conicity index, waist to height ratio and fat percentage, body mass, height and waist circumference were measured. Descriptive and inferential statistics were used. Cutoff points, sensitivity (S) and specificity (SP) were determined by receiver operating characteristic (ROC) curves. A 5% significance level was adopted. Results The prevalence of urinary incontinence was of 32.2%. The cutoff point with better sensitivity and specificity for the conicity index was 1.23 (S =87.8; SP =35.9); for the waist to height ratio, it was 0.57 (S =79.6; SP =45.6); and for the fat percentage, it was 39.71 (S =89.8; SP =42.7). The area under the ROC curve was 0.666 for the conicity index, 0.653 for the waist to height ratio, and 0.660 for the fat percentage. Conclusions The cutoff points for the anthropometric measurements conicity index, waist to height ratio and fat percentage indicate that these measures can be used to predict urinary incontinence in physically active older women. Furthermore, fat percentage seemed to be the best measure for this population.