Robledo-Millán Carlos Raúl, Diaz-Domínguez María Regina, Castañeda-Ramírez Ari Evelyn, Quiñones-Lara Efrén, Valencia-Marín Sebastián, Suárez-García Ricardo Xopán, López-Desiderio Nely Gisela, Ramos-Cortés Claudio Adrían, Gaytán Gómez Areli Marlene, Bello-López Juan Manuel, Saldívar-Cerón Héctor Iván
Carrera de Médico Cirujano, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Mexico.
Laboratorio 14, Unidad de Biomedicina (UBIMED), Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla 54090, Mexico.
J Funct Morphol Kinesiol. 2025 Feb 22;10(1):72. doi: 10.3390/jfmk10010072.
As metabolic diseases continue to rise globally, there is a growing need to improve risk assessment strategies beyond traditional measures such as BMI and waist circumference, which may fail to identify individuals at risk. This study develops and validates a novel metabolic risk classification system that incorporates body fat percentage (%BF), waist circumference (WC), and grip strength (GS) in Mexican adults. It aims to improve risk stratification and evaluate the association with metabolic syndrome. : This cross-sectional study involved 300 young adults (18-22 years) from a university in Mexico City, utilizing body composition (%BF) and anthropometric measures (WC, GS) to categorize them into four risk groups: protective, low risk, increased risk, and high risk. A retrospective cohort of 166 adults (18-65 years) with complete clinical records was used for validation. : The inclusion of GS in the risk assessment significantly shifted the distribution in the young adult cohort, reducing the "no risk" category (15.5% males, 11.6% females) and expanding the higher-risk categories (70.2% males, 69% females). Metabolic parameters such as fasting glucose, triglycerides, HDL cholesterol, and blood pressure worsened progressively across the risk categories ( < 0.001). The high-risk group exhibited a markedly increased odds ratio for metabolic syndrome at 28.23 (10.83-73.6, < 0.001), with no cases in the protective and low-risk groups. : Integrating grip strength with %BF and WC into a risk classification system substantially enhances metabolic risk stratification, identifies at-risk individuals not previously detected, and confirms a protective group. This validated system provides a robust tool for early detection and targeted interventions, improving public health outcomes in metabolic health.
随着全球代谢性疾病持续增多，越来越需要改进风险评估策略，超越体重指数（BMI）和腰围等传统指标，因为这些指标可能无法识别有风险的个体。本研究开发并验证了一种新的代谢风险分类系统，该系统纳入了墨西哥成年人的体脂百分比（%BF）、腰围（WC）和握力（GS）。其目的是改善风险分层，并评估与代谢综合征的关联。：这项横断面研究涉及来自墨西哥城一所大学的300名年轻人（18至22岁），利用身体成分（%BF）和人体测量指标（WC、GS）将他们分为四个风险组：保护组、低风险组、风险增加组和高风险组。一个有166名成年人（18至65岁）且有完整临床记录的回顾性队列用于验证。：在风险评估中纳入握力显著改变了年轻成年人群体的分布，减少了“无风险”类别（男性15.5%，女性11.6%），并扩大了高风险类别（男性70.2%，女性69%）。空腹血糖、甘油三酯、高密度脂蛋白胆固醇和血压等代谢参数在各风险类别中逐渐恶化（<0.001）。高风险组患代谢综合征的比值比显著增加，为28.23（10.83至73.6，<0.001），保护组和低风险组无病例。：将握力与%BF和WC整合到一个风险分类系统中，可显著增强代谢风险分层，识别出以前未检测到的有风险个体，并确认一个保护组。这个经过验证的系统为早期检测和有针对性的干预提供了一个有力工具，改善了代谢健康方面的公共卫生结果。
