Luis Talavera

Dr. Luis Talavera

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6 January 2023 in RESPYN Revista Salud Pública y Nutrición
Verified
Journal Article
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LTLuis Felipe Talavera
Luis Felipe Talavera
RMRosa Méndez
Rosa Méndez
APAlma Delia Contreras Paniagua
Alma Delia Contreras Paniagua
David Jiménez PavónDavid Jiménez Pavón
David Jiménez Pavón
Graciela Caire-JuveraGraciela Caire-Juvera
Graciela Caire-Juvera
MOMaría Ortega
María Ortega
Introducción: Caracterizada por un exceso del tejido adiposo visceral (TAV), la obesidad abdominal incrementa el riesgo del síndrome metabólico. El método más popular para evaluar la obesidad infantil es el índice de masa corporal para la edad (IMC), aunque estudios recientes sugieren la circunferencia de cintura (CC) o el índice cintura-estatura (ICE). Objetivo: Evaluar la eficiencia de indicadores antropométricos para predecir TAV y clasificar sobrepeso más obesidad (SO/OB). Material y Método: Estudio transversal, analítico y comparativo. Se evaluaron 59 niños (47.5% mujeres) de 10.6 ± 2.1 años de edad en escuelas públicas de Hermosillo, Sonora, México; se examinaron variables antropométricas, estimando el IMC e ICE, se determinó el TAV mediante Absorciometría Dual de Rayos X (DEXA); se analizó mediante: regresión lineal múltiple, concordancia con el modelo de Bland y Altman e índice Kappa de Cohen. Resultados: El modelo más eficiente para predecir TAV fue el de la CC (R2=0.90). Los indicadores antropométricos tuvieron buena concordancia entre sí en el diagnóstico de SO/OB (Kappa ≥ 0.6), aunque el análisis de Bland y Altman indicó buena concordancia entre CC-TAV e ICE-TAV. Conclusiones: Los mejores predictores del TAV fueron CC e ICE. Los resultados sugieren que CC e ICE resultan los mejores indicadores para evaluar obesidad abdominal y diagnosticar SO/OB en niños y adolescentes mexicanos.

1 April 2026 in Sports
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Luis Gerardo Vázquez-VillarrealLuis Gerardo Vázquez-Villarreal
Luis Gerardo Vázquez-Villarreal
LTLuis Felipe Talavera-Hernández
Luis Felipe Talavera-Hernández
MIMARTHA PATRICIA DERGAL IRIGOYEN
MARTHA PATRICIA DERGAL IRIGOYEN
Claudia MaceroniClaudia Maceroni
Claudia Maceroni
ETEleanor Louise Travis-Carr
Eleanor Louise Travis-Carr
NRNidia Rodriguez-Sanchez
Nidia Rodriguez-Sanchez
Although Flag Football (FF) is growing worldwide, the literature to guide sports sciences in preventing injuries is scarce. The aim of this study was to analyse how anthropometric characteristics were associated with injury in elite FF players. Athletes completed a full profile according to the International Society of Advances in Kinanthropometry (ISAK), including weight, height, sitting height, arm span length, skinfolds, girths, length and breadth bones, and an injury questionnaire was administered. Logistic regression models and Receiver Operating Characteristic (ROC) curves were conducted. In total, 108 FF national team players, 34 female (26.7 ± 4.3 years old) and 74 male (26.9 ± 5.1 years old), participated. Of these, 62% FF players reported injuries. Relaxed arm and flexed and contracted arm girths are related to increased or reduced injury risks (Odds = 2.932, p = 0.008; Odds = 0.335, p = 0.009, respectively), while longer tibia length and higher muscle mass also increase the risk (Odds = 1.407, p = 0.034; Odds = 1.223, p = 0.010, respectively). Specific cut-off points were defined by sex, such as hip circumference, established at 103 cm in the Anterior Cruciate Ligament (ACL) model for males, increasing the risk by 5 times. Anthropometric characteristics were related to injury incidence and could be used by sports science practitioners as an efficient decision-making tool to describe and analyse the static and dynamic components of FF players in injury prevention.