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Öğe RELATIONSHIP BETWEEN SLEEP DURATION AND BODY COMPOSITION, BODY FAT RATIO AND WAIST CIRCUMFERENCE(2017) KAFKAS, Armağan; KAFKAS, Muhammed; EKEN, Özgür; YILMAZ, Nurkan; Kızılay, Fatma; KAYAPINAR, MuratIt remains unclear how many hours of sleep are associated with obesity in children and adolescent in Turkey. The main purpose of this study was to determine the association between sleep and body mass index (BMI), body fat ratio (BFR), waist circumference (WC) in children and adolescents. Data were from a nationally representative sample of 23633 people whose ages are 7-18 males and females from the Turkish Health and Fitness Survey. The relationship between sleep duration and body composition values were resolved by "Pearson Correlation" analysis. In the total sample, there was a significant main effect across sleep duration categories (5-6, 7-8, 9-10) for BMI, BFR and WC. Compared to those sleeping durations, 9-10 sleepers have got lower BMI, BFR and WC and 5-6 hours sleepers have got biggest BMI, BFR and WC. In conclusion In children and adolescent reduced sleep durations are strongly associated with greater adiposity.Öğe The Waist circumference in Turkish adults: 19 – 75 years age(2017) KAFKAS, Muhammed; ÇINARLI, Fahri Safa; YILMAZ, Nurkan; EKEN, Özgür; Kızılay, Fatma; KAYAPINAR, Murat; KAFKAS, ArmağanObjective: Waist circumference reference values can be vary among societies. Therefore, the purpose of this study was to determine the waist circumference values of Turkish adults people for 19-75 year. Material and Method: A total of 25.866 (11484 females and 14382 males) adult participants were recruited, grouped into categories of waist circumference in accordance with the World Health Organizasion cutoffs. Waist circumference was measured with a tape measure according to the recommendations of the World Health Organization. Results: It was found that waist circumference values varied at certain age ranges. Furthermore, there was a statistically significant relationship between the age variable and waist circumference values for male (r=.441) and female (r=.444) adults. It was determined that 87.91% of the male adults participating were to have normal values and 12.08% of them were to have higher risks of obesity related to the diseases, and 65.86% of female participants were to have normal values and 34.14% of them were to have had higher risk of obesity related diseases. Conclusions: The use waist circumference for the prediction of risk factor clustering among adults has significant clinical utility. These analyses should be continued in future studies in order to examine both health and reference values between societies
