RESUMO
Background: Fatigue represents a common complaint of patients with diabetes as it can be reported in up to 60% of patients, prominent in patients with type 2 diabetes. It is a major health problem, affects approximately 6% of the world's adult population, and is increasing in epidemic proportions. Evidence suggests that MSRT a yoga-based relaxation techniques significantly reduces anxiety, stress, fatigue and psychological distress. The aim of the study wasObjective: to study the effect of MSRT on fatigue levels among type-2 diabetes patients. Materials and Methods: In this interventional study with a pre-post design on 100 type-2 diabetes patients, were taught MSRT. Assessment were carried out on the 1 and 30 day of the program, using FSS, VAFS. Results: Significant reduction in fatigue levels in both FSS and VAFS respectively (p<0.00). Conclusion: This study provides evidence that MSRT practice is an effective, economical and noninvasive method to combat fatigue in diabetes patients.
RESUMO
The present study was aimed to compare traditional lipid measures with the lipid ratios to establish a bettermarker for the assessment of coronary artery disease (CAD) risk. The comparison of traditional lipid parametersand lipid ratios were made in terms of independent ‘t’ test, area under receiver operating characteristic(AUROC) curve and logistic regression analysis. LDL-C and HDL-C could not correlate well with CAD riskprediction. Strikingly, TG/HDL ratio was found to be more significantly associated in comparison to any ofthe individual lipid parameters as well as TC/HDL and LDL/HDL ratios when compared in terms of AUROCand logistic regression analysis, while LDL/HDL ratio could not correlate. Altogether, these findings infer thatTG/HDL ratio is a better parameter in CAD risk prediction. Additionally, the TG/HDL ratio being calculatedparameter incurs no additional cost to the patients and health care system. Henceforth, the authors suggest theincorporation of the TG/HDL ratio in the routine lipid panel for the better diagnosis and treatment of dyslipidemia.