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JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Sarcopenic obesity is closely associated with metabolic syndrome.
Obesity Research & Clinical Practice 2013 July
OBJECTIVES: Obesity is a risk factor for metabolic syndrome (MetS). We aimed to investigate whether sarcopenic obesity (SO) was associated with MetS.
METHODS: A total of 600 community-dwelling males and females aged 63.6 ± 10.1 years in Northern Taiwan were enrolled in this study. Sarcopenia was defined by the percentage of total skeletal mass (total skeletal muscle mass (kg)/weight (kg) x 100). Cut-offs were established at <37% in men and <27.6% in women using the bioelectrical impedance analysis (BIA) method. Obesity was defined as body mass index (BMI) ≥25 kg/m(2). MetS was defined by the consensus of National Cholesterol Education Program-Adult Treatment Panel III modified for Asians. The association between MetS and SO was examined using multivariate logistic regression analyses after controlling potential confounders.
RESULTS: The SO group demonstrated a higher risk for MetS (odds ratio [OR] 11.59 [95% confidence interval [CI] 6.72-19.98]) than the obese group (7.53 [4.01-14.14]) and sarcopenic group (1.98 [1.25-3.16]). The individual components including waist circumference, serum triglycerides, high-density lipoprotein cholesterol (HDL-C), and fasting serum glucose were independently associated with SO.
CONCLUSION: SO is a major risk factor for MetS. The BIA method and BMI can easily identify subjects at high risk for MetS. The underlying mechanism for the relationship between SO and MetS warrants further research.
METHODS: A total of 600 community-dwelling males and females aged 63.6 ± 10.1 years in Northern Taiwan were enrolled in this study. Sarcopenia was defined by the percentage of total skeletal mass (total skeletal muscle mass (kg)/weight (kg) x 100). Cut-offs were established at <37% in men and <27.6% in women using the bioelectrical impedance analysis (BIA) method. Obesity was defined as body mass index (BMI) ≥25 kg/m(2). MetS was defined by the consensus of National Cholesterol Education Program-Adult Treatment Panel III modified for Asians. The association between MetS and SO was examined using multivariate logistic regression analyses after controlling potential confounders.
RESULTS: The SO group demonstrated a higher risk for MetS (odds ratio [OR] 11.59 [95% confidence interval [CI] 6.72-19.98]) than the obese group (7.53 [4.01-14.14]) and sarcopenic group (1.98 [1.25-3.16]). The individual components including waist circumference, serum triglycerides, high-density lipoprotein cholesterol (HDL-C), and fasting serum glucose were independently associated with SO.
CONCLUSION: SO is a major risk factor for MetS. The BIA method and BMI can easily identify subjects at high risk for MetS. The underlying mechanism for the relationship between SO and MetS warrants further research.
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