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Sepideh Dolati,Khoosheh Namiranian,Reyhaneh Amerian,Samane Mansouri,Sajad Arshadi,Mohammad Ali Azarbayjani 대한비만학회 2020 The Korean journal of obesity Vol.29 No.1
Background: This study aimed to investigate the effects of curcumin supplementation alone and in combination with aerobic training on body composition, glycemic variables, serum levels of C-reactive protein (CRP) and lipid profiles in overweight women. Methods: In this randomized, double-blind, placebo-controlled trial, 40 healthy sedentary overweight females (aged 30–45 years with body mass index [BMI] of 25–30 kg/m2) were randomly assigned to four groups of 10 subjects each: curcumin supplementation (Cur), placebo (Pla), placebo+aerobic training (Pla+Tra), curcumin supplementation+aerobic training (Cur+Tra). Curcumin or placebo capsules (500 mg/day) were administered for 8 weeks. Results: During the intervention, Cur group showed significant reductions in weight, BMI and fasting blood glucose level; Cur+Tra group decreased waist circumference, waist-to-hip ratio, homeostatic model assessment for insulin resistance, serum insulin level, low-density lipoprotein to high-density lipoprotein ratio, and total cholesterol to high-density lipoprotein ratio and increased serum high-density lipoprotein cholesterol. The between-groups analysis indicated increased high-density lipoprotein cholesterol in the Cur and Cur+Tra groups compared to the Pla group. The estimated marginal means of serum CRP were significantly higher in Pla+Tra group than in the Cur and Cur+Tra groups. Conclusion: These findings suggest that the combination of curcumin supplementation with aerobic training more effectively improves glycemic and lipidemic statuses than curcumin supplementation or aerobic training alone.
Nadeb Hossein,Torabi Hamzeh,Dolati Ali 한국통계학회 2021 Journal of the Korean Statistical Society Vol.50 No.4
In this paper, we provide some general results for the usual stochastic ordering of the extreme order statistics arising from two sets of random variables with different marginal distributions and different underlying Archimedean copulas structure. Application to some general models as marginal distributions which are including the well-known semiparametric family of distributions in statistics, is discussed.