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Introduction: Nonalcoholic fatty liver disease (NAFLD) is closely associated with obesity and insulin resistance and lifestyle measures form the cornerstone of therapy. Objective: To study the effect of progressive resistance training (PRT) on hepatic fat content, body composition and insulin sensitivity in patients with NAFLD. Methods: This study included 24 adult patients with NAFLD diagnosed on ultrasonography. Subjects with alcohol intake >140 gm/week and any secondary cause of fatty liver were excluded. Patients underwent thrice weekly sessions (40 minutes each) of resistance exercises including flexion at biceps, triceps, and hip flexion, knee extension and heel rise for 12 weeks. Pre- and post-intervention evaluation included anthropometry, BIA analysis, short insulin tolerance test (SITT), lipid profile and hepatic fat quantification by MRI. Results: Twenty four patients (17 males, 7 females, mean age 39.8±10.5 yrs) completed the study protocol with 78.7% compliance to PRT protocol. There was significant decrease in waist, hip and mid-thigh circumferences and skinfold thicknesses at biceps, triceps, subscapular and suprailiac regions (p<0.05), with no significant change in BMI and WHR. Insulin sensitivity improved significantly at 12 weeks as indicated by increase in k-value (rate of change of glucose) on SITT (0.84 vs 1.3, p=0.002). A decrease in total cholesterol and LDL-c with increase in HDL-c was noted after 12 weeks (p<0.05). Hepatic fat content also decreased at 12 weeks (22.3±3.9 vs 21.4±4.0 %, p=0.01). Conclusion: Moderate intensity PRT is associated with significant improvement in hepatic fat, truncal subcutaneous fat and insulin sensitivity in patients with NAFLD.
RESUMO
BACKGROUND: To determine prevalence of multiple coronary risk factors in a North Indian Punjabi community and to compare these with previous population based studies in the same city in North India we performed an epidemiological study. METHODS: A community-based epidemiological study that focused on lifestyle determinants of obesity and its correlates in migrants from Punjab was performed at a single location in Jaipur. A house-to-house enumeration was performed to enroll all adults>or=20 years age in the locality who were then invited for participation in the study. Of the 1400 eligible subjects, 1127 participated (response rate 80.5%, men 556, women 571). Risk factor measurements included smoking or tobacco use, body-mass index (BMI), waist:hip ratio (WHR) and body fat, and in 644 (56.6%) subjects (men 340, women 304) blood examination for fasting blood glucose and lipids. Coronary risk factors were determined using pre-specified criteria. RESULTS: There was a significant prevalence of risk factors in both men and women respectively with smoking or tobacco use in 209 (37.6%) and 12 (2.2%), obesity (BMI>or=25 kg/m2) in 303 (54.5%) and 350 (61.3%), truncal obesity (high WHR) in 339 (61.0%) and 310 (54.30%), hypertension in 322 (57.9%) and 279 (48.9%), high total cholesterol>or=200 mg/dl in 111 (32.6%) and 120 (39.5%), low HDL cholesterol<40 mg/dl in 103 (30.3%) and 83 (27.3%), high triglycerides>or=150 mg/dl in 146 (42.9%) and 132 (43.4%), metabolic syndrome in 166 (48.8%) and 137 (45.1%), and diabetes in 88 (25.9%) and 64 (21.1%) subjects. In both men and women there was a significant age-associated escalation in obesity, central obesity, hypertension, high cholesterol and diabetes prevalence (Mantel-Haenszel chi2 for trend p<0.05). Logistic regression analyses revealed that obesity and truncal obesity were major determinants of multiple risk factors such as hypertension, hypercholesterolemia, metabolic syndrome and diabetes (age-adjusted odds ratios p<0.01). Comparison with previous population-based risk factor studies from the same city in years 1995 and 2002 revealed that risk factors were significantly greater in the present group. Age-stratified differences revealed that obesity at younger age was more frequent in the present cohort. CONCLUSIONS: There is a significant prevalence of multiple cardiovascular risk factors in this population group. Obesity is a major determinant of multiple risk factors and appears at a younger age compared to other studies in the same location.