The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone

Cardiovascular Diabetology

Carlos Cure¹  Aristides Sotomayor²  Eric Hernandez-Triana³  Álvaro Rico⁴  Myriam Duran⁵  Daniel Martinez⁵  Diego Gomez-Arbelaez⁵  Daniel D. Cohen⁵  Johanna Otero⁵  Maritza Perez⁶  Edgar Arcos⁷  Henry Garcia⁸  Claudia Narvaez⁹  Paul A. Camacho^1,10  Daniela Ney-Salazar^1,10  Jose P. Lopez-Lopez^1,11  Patricio Lopez-Jaramillo^1,11  Salim Yusuf^1,12  Darryl P. Leong^1,12  Sumathy Rangarajan^1,12  Dora I. Molina^1,13  Fresia Cotes^1,14  Gregorio Sanchez-Vallejo^1,15 

[1] BIOMELAB Research Center, Barranquilla, Colombia;Centro Cardiovascular Santa Lucia, Cartagena, Colombia;ENDOCARE, Bogotá, Colombia;FINDEMOS, Yopal, Colombia;Facultad de Ciencias de La Salud, Instituto de Investigaciones Masira, Universidad de Santander (UDES), Bloque G, piso 6. Bucaramanga, Santander, Colombia;Facultad de Medicina, Universidad Militar Nueva Granada, Bogotá, Colombia;Fundación Cometa, Pasto, Colombia;Fundación RIESCAR, El Espinal, Colombia;Hospital Susana López, Popayán, Colombia;Institute Masira, Medical School, Universidad de Santander, Santander, Colombia;Institute Masira, Medical School, Universidad de Santander, Santander, Colombia;Facultad de Ciencias de La Salud, Instituto de Investigaciones Masira, Universidad de Santander (UDES), Bloque G, piso 6. Bucaramanga, Santander, Colombia;PHRI, McMaster University, Hamilton, ON, Canada;Universidad de Caldas y Médicos Internistas de Caldas, Manizales, Colombia;Universidad de Santander, Valledupar, Colombia;Universidad del Quindío and Hospital San Juan de Dios de Armenia, Armenia, Quindío, Colombia;

关键词: Metabolic syndrome;    Handgrip strength;    Abdominal obesity;    Body mass index;    Cardiovascular disease;   

DOI  :  10.1186/s12933-021-01256-z

来源: Springer

【 摘 要 】

BackgroundAdiposity is a major component of the metabolic syndrome (MetS), low muscle strength has also been identified as a risk factor for MetS and for cardiovascular disease. We describe the prevalence of MetS and evaluate the relationship between muscle strength, anthropometric measures of adiposity, and associations with the cluster of the components of MetS, in a middle-income country.MethodsMetS was defined by the International Diabetes Federation criteria. To assess the association between anthropometric variables (waist circumference (WC), waist-to-hip ratio (W/H), body mass index (BMI)), strength (handgrip/kg bodyweight (HGS/BW)) and the cluster of MetS, we created a MetS score. For each alteration (high triglycerides, low HDLc, dysglycemia, or high blood pressure) one point was conferred. To evaluate the association an index of fat:muscle and MetS score, participants were divided into 9 groups based on combinations of sex-specific tertiles of WC and HGS/BW.ResultsThe overall prevalence of MetS in the 5,026 participants (64% women; mean age 51.2 years) was 42%. Lower HGS/BW, and higher WC, BMI, and W/H were associated with a higher MetS score. Amongst the 9 HGS/BW:WC groups, participants in the lowest tertile of HGS/BW and the highest tertile of WC had a higher MetS score (OR = 4.69 in women and OR = 8.25 in men;p < 0.01) compared to those in the highest tertile of HGS/BW and in the lowest tertile of WC.ConclusionWC was the principal risk factor for a high MetS score and an inverse association between HGS/BW and MetS score was found. Combining these anthropometric measures improved the prediction of metabolic alterations over either alone.

【 授权许可】

CC BY