Associated factors, concordance, and trends of obesity: body mass index, abdominal waist, and waist- to-height ratio between 2014 and 2022. Analysis of nine national surveys

Author:

Romero Luisa Erika Milagros Vásquez1,Vera-Ponce Víctor Juan1,Zuzunaga-Montoya Fiorella E.2,Torres-Malca Jenny Raquel1,Loayza-Castro Joan A.1,Paucar Cori Raquel Iturregui3,Valladares-Garrido Mario J.4,Romero-Figueroa María del Socorro5,Silva Mariana6,Ramos Willy1,Cruz-Vargas Jhony A. La1

Affiliation:

1. Instituto de Investigaciones en Ciencias Biomédicas, Universidad Ricardo Palma

2. Universidad Científica del Sur

3. Universidad Tecnológica del Perú

4. Universidad Continental

5. Universidad Autónoma del Estado de México

6. Universidad Internacional de Valencia

Abstract

Abstract Introduction: Obesity is a global epidemic affecting millions of people worldwide. Its diagnosis and treatment are crucial for the prevention of associated chronic diseases. Objectives: To assess the prevalence of obesity according to different diagnostic criteria, analyze the concordance between various diagnostic methods, and identify associated factors. Methods: Peru's Demographic and Family Health Survey (ENDES) from 2014 to 2022 was utilized. The cut-off points for defining obesity were ≥ 30 for body mass index (BMI), the ATPIII criteria for waist circumference (WC-ATPIII), and 0.56 for the waist-to-height ratio (WHtR). Concordance analyses were performed to compare diagnostic methods and regression analyses were conducted to identify associated factors. Results: The prevalence of obesity according to BMI, WC-ATPIII, and WHtR was 25.65%, 42.04%, and 46.49%, respectively. The concordance between the three criteria was evaluated through the Kappa index. The concordance between obesity by BMI and WC-ATPIII was 0.5141. The concordance between BMI and WHtR was 0.5099. Finally, the concordance between WC-ATPIII and WHtR was 0.7514. Men showed a lower prevalence of obesity compared to women. The obesity trend increased overall during the study period, with marked differences in prevalence according to the obesity measure used. Conclusions: The findings reveal differences in obesity prevalence according to the diagnostic method employed and underscore the need to consider multiple approaches to assess obesity. The results significantly affect public health and provide a foundation for future interventions and policies to combat obesity in Peru.

Publisher

Research Square Platform LLC

Reference56 articles.

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