There were small improvements in motor strength and SCIM-III scores in the RT group, but there were no statistically significant differences between the groups. Further studies are required for a better understanding of the effects of RT for people with tetraplegia.

OBJECTIVEThis study aimed to assess the correlation between abdominal subcutaneous adipose tissue (SAT) and metabolic syndrome (MetS) in Korean adults after adjusting for the effects of visceral adipose tissue (VAT).RESEARCH DESIGN AND METHODSThe SAT/VAT ratio (SVR) was calculated using abdominal computed tomography in 2,655 subjects. We used regression analyses to assess whether the SVR predicted MetS.RESULTSFor both sexes, the prevalence of elevated triglycerides, reduced HDL, and elevated fasting glucose significantly decreased with increasing quintiles of SVR (P for trend < 0.05). The prevalence and odds ratios of MetS significantly decreased as the SVR increased (men: odds ratio 0.5 [95% CI 0.3–0.7]; women: 0.2 [0.1–0.5] for comparisons of lowest vs. highest quintile; P for trend < 0.05).CONCLUSIONSAfter adjustment for VAT, abdominal SAT was inversely correlated with the occurrence of MetS.

PurposePolycystic ovary syndrome (PCOS) is characterized by hyperandrogenic anovulation in women of reproductive age. We investigated the metabolic effects of lean and overweight adolescents with PCOS.MethodsAnthropometric measurements and biochemical parameters were evaluated in 49 adolescents with PCOS and 40 age- and body mass index (BMI)-matched controls. We further divided both PCOS and control groups into those having BMI within the normal range of less than 85th percentile and those being overweight and obese with a BMI greater than 85th percentile.ResultsHemoglobin, gamma-glutamyl transferase (r-GT), total cholesterol, low-density lipoprotein-cholesterol and 2-hour postglucose load plasma insulin levels were significantly elevated in the lean PCOS group than in the lean control group. In the overweight/obese PCOS group, hemoglobin and r-GT levels were significantly elevated than in the overweight/obese control group. In the normal weight group, none of the subjects had metabolic syndrome according to the Adult Treatment Panel III criteria, but the incidence of metabolic syndrome in the overweight/obese PCOS group was 8.3% and that in the overweight/obese control group was 6.7%.ConclusionPCOS in adolescents causes metabolic abnormalities, underscoring the importance of early diagnosis of PCOS in oligomenorrheic adolescents.

Background/AimsSleep disorder (SD) is associated with an increased risk of cardiovascular disease and is more prevalent among individuals with type 2 diabetes mellitus. These health problems not only frequently coexist but also exacerbate each other. We conducted a cross-sectional study to estimate the prevalence of SD among diabetic patients and to investigate the relationship between SD and cardiovascular risk among these patients.MethodsWe recruited 784 patients with type 2 diabetes and conducted a self-administered questionnaire. We assessed sleep quality using the Pittsburgh Sleep Quality Index and the risk of obstructive sleep apnea (OSA) using the Berlin Questionnaire. Additional information included blood pressure and metabolic profiles.ResultsOf the 784 diabetic patients, 301 (38.4%) patients had poor sleep quality, and 124 (15.8%) were at high risk for OSA. Patients at increased risk for OSA were more obese; they also had higher blood pressure, fasting plasma insulin levels, insulin resistance assessed by homeostasis model assessment (HOMA-IR), and serum triglycerides levels (p < 0.05). The frequency of risk for OSA was higher among obese patients compared with non-obese patients (34.8% vs. 9.4%, p < 0.05). Logistic regression analysis revealed that male sex and bone mass index were independent predictors of risk for OSA.ConclusionsSD was prevalent among type 2 diabetic patients, and OSA could aggravate their risk for cardiovascular disease. Clinical treatment of these patients should include evaluation and intervention for SD.

PurposeObesity is a major public health issue and is associated with many metabolic abnormalities. Consequently, the assessment of obesity is very important. A new measurement, the body adiposity index (BAI), has recently been proposed to provide valid estimates of body fat percentages. The objective of this study was to compare the BAI and body mass index (BMI) as measurements of body adiposity and metabolic risk.Materials and MethodsThis was a cross-sectional analysis performed on Korean women. The weight, height, and hip circumferences of 2950 women (mean age 25±5 years old, 18-39 years) were measured, and their BMI and BAI [hip circumference (cm)/height (m)1.5-18] values were calculated. Bioelectric impedance analysis was used to evaluate body fat content. Glucose tolerance status was assessed with a 75-g oral glucose tolerance test, and insulin sensitivity was estimated with the insulin sensitivity index.ResultsBMI was more significantly correlated with fat mass and fat percentage. Additionally, BMI was also more significantly associated with metabolic parameters, including fasting glucose, post-load 2-h glucose, fasting insulin, post-load 2-h insulin, triglycerides, and high density lipoprotein cholesterol than BAI. Receiver operating characteristic curve analysis revealed that BMI was a better tool for predicting body fat percentage than BAI. Insulin sensitivity and metabolic syndrome were more significantly associated with BMI than with BAI.ConclusionIn Korean women, the current BMI-based classifications for obesity might be superior to BAI-based measurements for determining obesity and predicting metabolic risk.