Predicting insulin resistance using anthropometric measurements in obese adolescents

Predicting insulin resistance using anthropometric measurements in obese adolescents

Journal Abstracts Keywords: Physical activity; Body fat; Malaysia adolescent http://dx.doi.org/10.1016/j.orcp.2013.08.069 T1:O.33 Predicting insulin r...

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Journal Abstracts Keywords: Physical activity; Body fat; Malaysia adolescent http://dx.doi.org/10.1016/j.orcp.2013.08.069 T1:O.33 Predicting insulin resistance using anthropometric measurements in obese adolescents Bukhari A. Juhairina ∗ , N.A. Taslim Nutrition Department, Medical Faculty, Hasanuddin University, Indonesia Introduction: Insulin resistance (IR) is the core of metabolic syndrome and a pre-diabetic condition. Some studies have analysed the efficacy of anthropometric measures in predicting IR which is more economic and accessible. The aim of this study was to evaluate the prediction of IR by several anthropometric measurements in obese adolescents. Methods: A cross sectional study was conducted in 33 adolescents classified as obese and 29 classified as normal. Six anthropometric measures (selected from three categories: central adiposity, body composition and body mass index/BMI) were measured. IR was defined by the homeostasis model assessment for insulin resistance (HOMA-IR) with cutoff point ≥3.16. Appropriate statistical tools were used for the data analysis. Results: All of anthropometric measurements were statistically different between obese and normal adolescents such as BMI, waist circumference, waist to hip ratio, waist to height ratio, fat mass and visceral fat (p < 0.001); and laboratory assessments like fasting blood glucose, fasting insulin and HOMA-IR were different between obese and normal with p < 0.027, p < 0.001 and p < 0.001, respectively. The prevalence of insulin resistance in obese populations was 21%. Among all of anthropometric measures, visceral fat had more strongly associated with HOMA-IR, p < 0.047(OR: 6.0:95%CI: 1.099—32.758). A logistic regression and receiver operator characteristic curved showed that visceral fat retained and was more specific in predicting IR. Conclusion: Visceral fat could be used as a predictor of IR. Adolescents with central obesity should be targeted for weight reduction to prevent metabolic syndrome occurring later in life. Keywords: Insulin resistance; BMI; Waist circumference; Waist to hip ratio; Waist to height ratio; Fat mass; Visceral fat http://dx.doi.org/10.1016/j.orcp.2013.08.070

25 T2:P.034 Nutrition counselling transtheoretical model in changing of eating and physical activity behaviour in overweight and obesity adolescent at SMA Lab School Bandung I. Rosita 1,∗ , D. Marhaeni 1 , K. Mutyara 2 1 The

Graduate Master Program of Public Health Sciences, Faculty of Medicine, University of Padjadjaran, Bandung, Indonesia 2 Department of Community Health Sciences, Faculty of Medicine, Padjadjaran University, Bandung, Indonesia Introduction: Based on Health Research Survey of Indonesia in 2007, the prevalence of overweight in adolescent (9—14 years old) is 9.5% for boys and 6.4% for girls. Nutritional counselling by a behavioural approach is a way to reduce the prevalence of obesity with simple and secure for health. This aim of the research is to determine the effect of nutritional counselling, using Trans-theoretical Model, on total energy intake, fat, fibre and physical activity, and also to explore effort on changing. Method: A quasi-experimental study was done at SMA Lab School Bandung in January to February 2013. Students who are classified as overweight and obese are received 6 times frequency of faceto-face counselling, with interval of a week and the duration of counselling was about 15—30 min each time. Stage of respondents based on the transtheoretical model was precontemplation, contemplation, preparation, and action. Result: There are 37 (7%) respondents were recruited for the study based on students data of 2012. Significant effect of nutritional counselling was found on total energy intake, fat and physical activities (p < 0.05). However, nutritional counselling gave no effect on dietary fibre intake (p = 0.914). Twenty-four respondents were categorized as precontemplation, contemplation 8 and preparation 4 before intervention. Whereas after the intervention the category was change into precontemplation become 2, contemplation 5, preparation 9 and action 20. Conclusion: Factors of favour to decline of energy and fat intake, increased physical activity, for the respondent is an awareness and self-motivation. Efforts to reduce food in high carbohydrates and saturated fats, extra curriculum