Prevalence, clinical & biochemical correlates of non-alcoholic fatty liver disease in overweight adolescents

Background & objectives: Non-alcoholic fatty liver disease (NAFLD) characterized by excessive accumulation of fat in the liver, which can progress to inflammation, and cirrhosis, has emerged as an important complication of obesity in adults as well as children. This study was undertaken to assess the prevalence of NAFLD and its correlation with clinical and biochemical parameters in overweight Indian adolescents. Methods: In this cross-sectional study, 218 overweight adolescents aged 10 to 16 yr and their parents were included. Measurements included anthropometry, ultrasonography to diagnose NAFLD, fasting glucose, aspartate aminotransferase (AST), alanine aminotransferase (ALT) and lipids for adolescents and parents, and additional parameters of blood pressure, body fat percentage (BF%), fasting insulin, apolipoprotein C3, tumour necrosis factor-? and adiponectin for adolescents. The variables were compared between adolescents with and without NAFLD, and logistic regression analysis was performed. Results: Mean age and body mass index (BMI)SD score (SDS) were 11.9±1.6 yr and 2.3±1.1, respectively. NAFLD was seen in 62.5 per cent of the adolescents. The prevalence of NAFLD in the parents was similar among the adolescents with and without NAFLD, while BMI and waist circumference SDS, BF per cent, blood pressure (BP), ALT, AST, insulin and homeostatic model assessment of insulin resistance (HOMA-IR) were significantly higher in the adolescents with NAFLD. On multiple logistic regression, abdominal obesity, HOMA-IR and BF per cent were independently associated with NAFLD with odds ratios (95% confidence interval) of 2.77 (1.40-5.47), 2.21 (1.16-4.21) and 2.17 (1.12-4.22), respectively. Interpretation & conclusions: NAFLD was noted among nearly two-thirds of the overweight adolescents. An independent association was observed between abdominal obesity, HOMA-IR and body fat percentage and NAFLD in overweight adolescents.

Adiponectin correlates with obesity: A study of 159 childhood acute leukemia survivors from India.

BACKGROUND: Acute lymphoblastic leukemia survivors are predisposed to obesity. However, the exact underlying mechanisms are not known. AIMS: The study was done to assess the role of biomarkers of obesity in acute leukemia survivors. SETTINGS AND DESIGNS: This is a cross‑sectional study conducted at All India Institute of Medical Sciences in survivors of acute leukemia who had completed treatment at least 1 year before enrollment in this study. MATERIALS AND METHODS: Obesity was studied by determining the body mass index. Potential biomarkers were studied by assessing serum leptin, resistin, and adiponectin by enzyme‑linked immunosorbant assay, and the results were compared in obese versus nonobese survivors. STATISTICAL ANALYSIS: Descriptive analysis for baseline demographic factors and Student’s t‑test for comparing the mean levels of biomarkers among the obese and nonobese survivors. RESULTS: One hundred and fifty‑nine acute leukemia patients were enrolled in this study with a median follow‑up of 36.8 months. The median age was 10 (range: 3–18) years, and 123 (77.3%) patients were males. The overall prevalence of overweight/obesity was 26.4%, and this was similar in acute myeloid leukemia and acute lymphoblastic leukemia sub‑groups (26.2% vs. 27.3%, P = 0.9). Mean serum leptin and resistin were similar in obese and nonobese leukemia survivors (3.7 vs. 2.85 pg/mL, P = 0.064; 8.01 vs. 9.33 ng/mL, P = 0.36). However, mean serum adiponectin was significantly lower in obese leukemia survivors (7.97 vs. 11.5 μg/mL, P = 0.023). CONCLUSIONS: Obese leukemic survivors had lower serum adiponectin levels than nonobese survivors. However, serum resistin and leptin levels were similar in the two groups.

Validation of self-reported smoking status by measuring serum cotinine levels: An Indian perspective.

Background. Serum cotinine levels are a reliable marker of tobacco use. Few studies have validated questionnaires assessing smoking and exposure to environmental tobacco smoke (ETS) against serum levels. We undertook such a study in industrial workers in India. Methods. We chose 426 individuals by stratified random sampling from a database of 3397 individuals surveyed at New Delhi for the cardiovascular disease surveillance programme in a large industrial setting. Questionnaires assessing details of smoking practices and duration of exposure to ETS (if any) were administered. Cotinine levels were measured in the blood samples of these individuals. Results. The study population comprised 142 nonsmokers not exposed to ETS, 142 non-smokers exposed to ETS and 142 active smokers. Cotinine levels among nonsmokers not exposed to ETS were non-detectable; and for non-smokers exposed to ETS and active smokers, the median (interquartile range) levels were non-detectable (non-detectable to 46.1 ng/ml) and 336 ng/ml (204–500 ng/ml), respectively. The best combined sensitivity (91%) and specificity (87.2%) yielded a cotinine cut-off level of 40.35 ng/ml to differentiate active smokers from non-smokers not exposed to ETS and those exposed to ETS (area under the curve 0.902). The cut-off cotinine level was estimated at 10.95 ng/ml using a similar analysis (sensitivity 43%, specificity 82%; area under the curve 0.64) to distinguish non-smokers not exposed to ETS from those exposed to ETS. The misclassification rate was estimated at 19% and 57.1% among self-reported non-smokers not exposed to ETS and those exposed to ETS, respectively. Conclusions. Obtaining a history of tobacco use is an accurate method of detecting smokers in epidemiological studies whereas serum cotinine levels accurately differentiate smokers from non-smokers. However, a brief questionnaire assessing passive exposure to smoke has poor sensitivity in distinguishing non-smokers exposed to ETS from those not exposed to ETS.

Risk factors related to the development of diabetes in men working in a north Indian industry.

BACKGROUND: Epidemiological and lifestyle changes have been implicated in the high burden of diabetes in urban India. However, longitudinal data on the determinants for the development of diabetes in this population are not available. We investigated the determinants for the development of diabetes in workers in an Indian industrial organization. METHODS: Two cross-sectional surveys were done, using similar methodology (Survey 1 during 1995-98 [n=2548] and Survey 2 during 2002-03 [n=2800]) among all employees (age 20-59 years) of an industrial organization. A large majority of these were men (89.5% in Survey 1 and 92.8% in Survey 2). Men with no diabetes at baseline, who participated in both the surveys (n=942), constituted the study population. Development of new-onset diabetes was defined using history and fasting glucose concentrations > or =7 mmol/L. RESULTS: The mean (SD) age of the participants at baseline was 40 (2) years. Diabetes developed in 8% of the study population over 6.8 (1.7) years. Individuals who developed diabetes had significantly higher age, blood pressure, body mass index, waist circumference, fasting and post-prandial glucose, post-prandial insulin and fasting triglyceride levels at baseline. On multivariate regression analysis, only impaired glucose tolerance (OR 3.8, 95% CI: 2.1-6.8) and waist circumference (OR 1.09, 95% CI: 1.02-1.16) predicted the development of diabetes. Presence of the metabolic syndrome, as defined by the modified National Cholesterol Education Program Adult Treatment Panel (NCEP-ATP) III and WHO criteria, increased the odds (95% CI) of developing diabetes by 2.2 (1.3-3.6) and 4.5 (2.7-7.4) times, respectively. CONCLUSION: Impaired glucose tolerance, high waist circumference and the metabolic syndrome are powerful predictors for the development of diabetes among urban Indian men.