Artículo de revista
The prediction of Metabolic Syndrome alterations is improved by combining waist circumference and handgrip strength measurements compared to either alone
Fecha
2021-03-22Autor
Lopez-Lopez, Jose
Cohen, Daniel Dylan
Ney-Salazar, Daniela
Martinez, Daniel
Otero, Johanna
Gomez-Arbelaez, Diego
Camacho-Lopez, Paul Antony
Sanchez-Vallejo, Gregorio
Arcos, Edgar
Narvaez, Claudia
Garcia, Henry
Perez, Maritza
Molina, Dora I.
Cure, Carlos
Sotomayor, Aristides
Rico, Alvaro
Hernandez-Triana, Eric
Duran Parra, Myriam
Cotes, Fresia
Leong, Darryl P.
Rangarajan, Sumathy
Yusuf, Salim
Lopez-Jaramillo, Patricio
Institución
Resumen
Background: Adiposity is a major component of the metabolic syndrome (MetS), low muscle strength has also been identifed 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.
Methods: MetS was defned 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 (hand‑grip/kg bodyweight (HGS/BW)) and the cluster of MetS, we created a MetS score. For each alteration (high triglycer‑ides, 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-specifc tertiles of
WC and HGS/BW.
Results: The 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.
Conclusion: WC 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