Utilidad de indicadores antropométricos de adiposidad abdominal no convencionales como predictores de riesgo cardiometabólico en adultos jóvenes

Mathías Senen  Figueredo León; Kiara Monserrat   Galeano Manfredi; Juan Andrés  Sosa Leguizamón; Ada Liz  Ojeda Benitez; María Lourdes  Falcó de Ayala; Claudia Patricia  Fleitas Almirón; María Liz  Hermosilla de Sánchez; Lilian Elena  Mendieta de Servián; Andrea  Benítez; Isaura Pamela C.  Gamarra Salinas; Maccarena Monserrat  Troche Estigarribia; Fidel Jorge  Zenteno Armoa; Julio Torales; Eliana Romina Meza Miranda

doi:10.18004/

Authors

Mathías Senen Figueredo León Universidad Nacional de Asunción, Centro Multidisciplinario de Investigaciones Tecnológicas, Laboratorio de Biotecnología. San Lorenzo, Paraguay https://orcid.org/0009-0002-1500-6125
Kiara Monserrat Galeano Manfredi Universidad Nacional de Asunción, Centro Multidisciplinario de Investigaciones Tecnológicas, Laboratorio de Biotecnología. San Lorenzo, Paraguay https://orcid.org/0009-0004-2409-474X
Juan Andrés Sosa Leguizamón Universidad Nacional de Asunción, Centro Multidisciplinario de Investigaciones Tecnológicas, Laboratorio de Biotecnología. San Lorenzo, Paraguay https://orcid.org/0009-0008-0093-1151
Ada Liz Ojeda Benitez Universidad del Norte, Facultad de Medicina, Nutrición Sede Itauguá. Itauguá, Paraguay https://orcid.org/0009-0000-5811-3436
María Lourdes Falcó de Ayala Universidad del Norte, Facultad de Medicina, Nutrición Sede Itauguá. Itauguá, Paraguay https://orcid.org/0000-0002-9141-2419
Claudia Patricia Fleitas Almirón Universidad del Norte, Facultad de Medicina, Nutrición Sede Itauguá. Itauguá, Paraguay https://orcid.org/0009-0008-7984-8499
María Liz Hermosilla de Sánchez Universidad del Norte, Facultad de Medicina, Nutrición Sede Itauguá. Itauguá, Paraguay https://orcid.org/0009-0006-8919-1289
Lilian Elena Mendieta de Servián Universidad del Norte, Facultad de Medicina, Nutrición Sede Itauguá. Itauguá, Paraguay https://orcid.org/0009-0006-4268-924X
Andrea Benítez Universidad Nacional de Asunción, Centro Multidisciplinario de Investigaciones Tecnológicas, Laboratorio de Biotecnología. San Lorenzo, Paraguay https://orcid.org/0009-0003-2507-2609
Isaura Pamela C. Gamarra Salinas Universidad Nacional de Asunción, Centro Multidisciplinario de Investigaciones Tecnológicas, Laboratorio de Biotecnología. San Lorenzo, Paraguay https://orcid.org/0009-0008-5481-5738
Maccarena Monserrat Troche Estigarribia Universidad Técnica de Comercialización y Desarrollo, Facultad de Ciencias de la Salud. San Lorenzo, Paraguay https://orcid.org/0009-0004-4332-9110
Fidel Jorge Zenteno Armoa Universidad Técnica de Comercialización y Desarrollo, Facultad de Ciencias de la Salud. San Lorenzo, Paraguay https://orcid.org/0009-0009-4540-4862
Julio Torales Universidad Nacional de Asunción, Facultad de Ciencias Médicas, Grupo de Investigación sobre Epidemiología de los Trastornos Mentales, Psicopatología y Neurociencias. San Lorenzo, Paraguay https://orcid.org/0000-0003-3277-7036
Eliana Romina Meza Miranda Universidad Nacional de Asunción, Centro Multidisciplinario de Investigaciones Tecnológicas, Laboratorio de Biotecnología. San Lorenzo, Paraguay https://orcid.org/0000-0001-9791-8835

DOI:

https://doi.org/10.18004/

Keywords:

cardiometabolic risk, anthropometric indices, obesity, young adults

Abstract

Abdominal adiposity predicts cardiometabolic risk (CMR). This study evaluated the utility of the A Body Shape Index (ABSI), Body Roundness Index (BRI), and Conicity Index (CI) as predictors of CMR, comparing them with waist circumference (WC) and waist-to-height ratio (WHtR) in young adults from the Central Department of Paraguay. A cross-sectional, analytical, and observational study was conducted on 280 young adults of both sexes (aged 20–45 years). Sociodemographic and anthropometric variables (weight, height, and waist circumference) were assessed. The sensitivity and specificity of ABSI, BRI, and CI were evaluated against WC and WHtR. Females comprised 68.2% of the sample, and the mean age was 36.48 ± 13.2 years. CMR was high in 21.8%, 11.2%, and 15.7% of participants according to WC, WHtR, and CI, respectively; conversely, it was very high in 21.4% and 1.4% according to ABSI and BRI, respectively. The sensitivity values of ABSI, BRI, and CI relative to WC and WHtR were 71.0% and 74.5%; 71.0% and 72.0%; and 40.2% and 38.6%, respectively. The specificity values of ABSI, BRI, and CI relative to WC and WHtR were 50.3% and 53.6%; 96.5% and 100%; and 99.4% and 100%, respectively. In conclusion, ABSI and BRI demonstrate high sensitivity for predicting cardiometabolic risk, whereas CI was the least efficient predictor.

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