TY - JOUR
T1 - Low muscle strength is associated with metabolic risk factors in Colombian children
T2 - The ACFIES study
AU - Cohen, Daniel Dylan
AU - Gómez-Arbeláez, Diego
AU - Camacho, Paul Anthony
AU - Pinzon, Sandra
AU - Hormiga, Claudia
AU - Trejos-Suarez, Juanita
AU - Duperly, John
AU - Lopez-Jaramillo, Patricio
N1 - Funding Information:
The authors would like to thank the ACFIES children and the parents and teachers at the INEM Custodio Garcia Rovira, without whom this study would not have been possible. We would also like to thank Schools of Bacteriology, Nursing and Physiotherapy of the University of Santander (UDES), for their participation in data collection. DG-A is grateful to the Colombian Department of Science, Technology and Innovation (Colciencias) as a recipient of their “Young Researcher” grant to support his work. DDC is grateful to Dr. Bill Bukowski for travel support.
PY - 2014/4/8
Y1 - 2014/4/8
N2 - Purpose: In youth, poor cardiorespiratory and muscular strength are associated with elevated metabolic risk factors. However, studies examining associations between strength and risk factors have been done exclusively in high income countries, and largely in Caucasian cohorts. The aim of this study was to assess these interactions in schoolchildren in Colombia, a middle income Latin American country. Methods: We measured body mass index, body composition, handgrip strength (HG), cardiorespiratory fitness (CRF) and metabolic risk factors in 669 low-middle socioeconomic status Colombian schoolchildren (mean age 11.52±1.13, 47% female). Associations between HG, CRF and metabolic risk factors were evaluated. Results: HG and CRF were inversely associated with blood pressure, HOMA index and a composite metabolic risk score (p<0.001 for all) and HG was also inversely associated with triglycerides and C-reactive protein (CRP) (both p<0.05). Associations between HG and risk factors were marginally weakened after adjusting for CRF, while associations between CRF and these factors were substantially weakened after adjusting for HG. Linear regression analyses showed inverse associations between HG and systolic BP (β = -0.101; p = 0.047), diastolic BP (β = -0.241; p> = 0.001), HOMA (β = -0.164; p = 0.005), triglycerides (β = -0.583; p = 0.026) and CRP (β = -0.183; p = 0.037) but not glucose (p = 0.698) or HDL cholesterol (p = 0.132). The odds ratios for having clustered risk in the weakest quartile compared with the strongest quartile were 3.0 (95% confidence interval: 1.81-4.95). Conclusions: In Colombian schoolchildren both poorer handgrip strength/kg body mass and cardiorespiratory fitness were associated with a worse metabolic risk profile. Associations were stronger and more consistent between handgrip and risk factors than between cardiorespiratory fitness and these risk factors. Our findings indicate the addition of handgrip dynamometry to non-invasive youth health surveillance programs would improve the accuracy of the assessment of cardiometabolic health.
AB - Purpose: In youth, poor cardiorespiratory and muscular strength are associated with elevated metabolic risk factors. However, studies examining associations between strength and risk factors have been done exclusively in high income countries, and largely in Caucasian cohorts. The aim of this study was to assess these interactions in schoolchildren in Colombia, a middle income Latin American country. Methods: We measured body mass index, body composition, handgrip strength (HG), cardiorespiratory fitness (CRF) and metabolic risk factors in 669 low-middle socioeconomic status Colombian schoolchildren (mean age 11.52±1.13, 47% female). Associations between HG, CRF and metabolic risk factors were evaluated. Results: HG and CRF were inversely associated with blood pressure, HOMA index and a composite metabolic risk score (p<0.001 for all) and HG was also inversely associated with triglycerides and C-reactive protein (CRP) (both p<0.05). Associations between HG and risk factors were marginally weakened after adjusting for CRF, while associations between CRF and these factors were substantially weakened after adjusting for HG. Linear regression analyses showed inverse associations between HG and systolic BP (β = -0.101; p = 0.047), diastolic BP (β = -0.241; p> = 0.001), HOMA (β = -0.164; p = 0.005), triglycerides (β = -0.583; p = 0.026) and CRP (β = -0.183; p = 0.037) but not glucose (p = 0.698) or HDL cholesterol (p = 0.132). The odds ratios for having clustered risk in the weakest quartile compared with the strongest quartile were 3.0 (95% confidence interval: 1.81-4.95). Conclusions: In Colombian schoolchildren both poorer handgrip strength/kg body mass and cardiorespiratory fitness were associated with a worse metabolic risk profile. Associations were stronger and more consistent between handgrip and risk factors than between cardiorespiratory fitness and these risk factors. Our findings indicate the addition of handgrip dynamometry to non-invasive youth health surveillance programs would improve the accuracy of the assessment of cardiometabolic health.
UR - http://www.scopus.com/inward/record.url?scp=84899534926&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0093150
DO - 10.1371/journal.pone.0093150
M3 - Artículo Científico
C2 - 24714401
AN - SCOPUS:84899534926
SN - 1932-6203
VL - 9
JO - PLoS ONE
JF - PLoS ONE
IS - 4
M1 - e93150
ER -