Open AccessAnálisis de la curva ROC en la evaluación de indicadores antropométricos
Author(s) -
Gerardo Bauce,
Mary Zulay Moya-Sifontes
Publication year - 2021
Publication title -
revista digital de postgrado
Language(s) - English
Resource type - Journals
ISSN - 2244-761X
DOI - 10.37910/rdp.2022.11.1.e333
Subject(s) - waist , medicine , circumference , logistic regression , overweight , body mass index , statistic , statistics , receiver operating characteristic , waist to height ratio , demography , statistical significance , obesity , mathematics , geometry , sociology
Evaluation of the Waist Weight-Circumference Index (WWCI) using Logistic Regression. Descriptive, prospective and cross-sectional study shows 1095 adults and older adults, aged between 20 and 96 years. Methods: variables: age, weight, size, Waist Circumference (WC), BMI, Waist-Size Index (WSI). Results: Similar BMI in both sexes; higher WC and WSI averages in a ≥ age of 65; major WWCI in group 20-59 years; WWCI risk rate (54.1%) higher in WC (44.7%) WSI (78.2%). WWSI significantly associated with BMI, WC and WSI (p<0.000); positive predictive value 0.92 and negative predictive value 0.70, indicate discriminatory capacity; Relative Risk, 1.92; Wald test statistic indicates statistical significance for the coefficients of risk probability equations; area under the ROC curve is 0.803 and 0.903 (P<0.000), high sensitivity and specificity. Conclusion: WWCI can be considered to evaluate overweight and obesity in adults, given its high discriminatory capacity.