Cut points of the conicity index as an indicator of abdominal obesity in individuals undergoing hemodialysis: An analysis of latent classes

• Published in: Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2023-02, Vol.106, p.111890-111890, Article 111890
• Main Authors: Martins, Cleodice Alves, Ferreira, Júlia Rabelo Santos, Cattafesta, Monica, Neto, Edson Theodoro Dos Santos, Rocha, Jose Luiz Marques, Salaroli, Luciane Bresciani
• Format: Article
• Language: English
• Subjects: Abdomen; Abdominal obesity; Body composition; Body fat; Body Mass Index; Body measurements; Brazil; Chronic kidney disease; Conicity index; Cross-Sectional Studies; equations; Female; Hemodialysis; Humans; Latent class analysis; Male; Mathematical analysis; Metropolitan areas; nutrition; Obesity; Obesity - complications; Obesity - epidemiology; Obesity, Abdominal - complications; Obesity, Abdominal - diagnosis; Obesity, Abdominal - epidemiology; Renal Dialysis; ROC Curve; Sensitivity; Values; Variables; Wages & salaries; waist; Waist Circumference; Waist-Height Ratio; waist-to-height ratio; Womens health
• ISSN: 0899-9007; 1873-1244
• DOI: 10.1016/j.nut.2022.111890

•The statistical analysis used is a differential of study.•The dissemination of statistical analysis can benefit future studies.•To our knowledge, this is the first study of the cutoff points of the conicity index for hemodialysis. Abdominal obesity favors the involvement of cardiometabolic complications in renal patients on hemodialysis. Thus, the aim of the study was to identify the cut-points of the conicity index in individuals undergoing hemodialysis. This was a cross-sectional study carried out with 953 individuals undergoing hemodialysis in clinics in a metropolitan region of southeastern Brazil. The conicity index was calculated using the following mathematical equation: waist circumference/0.109 × √weight/height. The receiver operating characteristic (ROC) curve was calculated from the analysis of latent classes by cross-validation through a latent variable of abdominal obesity. This latent variable was defined using the response pattern of the observed anthropometric variables considering the presence and absence of abdominal obesity: waist circumference, waist-to-height ratio, and body shape index. The cut-points identified were elucidated by the area under the curve (AUC), Youden index, sensitivity, and specificity. The cut-points for the conicity index found for both sexes were similar, resulting in a cut-point for men of 1.275 (AUC, 0.921; Youden index, 0.666), with a sensitivity and specificity of 83% and 83.6%, and a cut-point for women of 1.285 (AUC, 0.921; Youden index, 0.679), with a sensitivity and specificity of 78.6% and 89.3%, respectively. The conicity index showed high discriminatory power for the identification of abdominal obesity in hemodialysis patients, therefore it can be a simple and easily accessible tool to be incorporated into clinical practice in this population.