DOI: https://doi.org/10.14710/jgi.7.1.15-21

Pola makan dan indikator lemak tubuh pada remaja

1Program Studi S1 Ilmu Gizi, STIKes Binawan, Indonesia

2Sub.Bag, Endokrinologi Anak, Bagian Ilmu Kesehatan Anak, Fakultas Kedokteran, Universitas Gadjah Mada/ RSUP Dr. Sardjito Yogyakarta, Indonesia

3Program Studi S1 Gizi Kesehatan, Fakultas Kedokteran, Universitas Gadjah Mada, Indonesia

Received: 9 Aug 2018; Published: 30 Dec 2018.

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Abstract

Background : Previous studies has focused on intakes of individual nutrients and/or foods or food groups to specific effect on health, but there were still not clear about the effect of dieting pattern and food choice to overweight/obesity indicators like BMI-for Age, fat percentage, waist circumference and waist to height ratio and which food group has the most effect to obesity indicators.
Objective: This study examined the association of meal pattern to BMI-for Age, fat percentage, waist circumference and waist to height ratio.
Methods: This cross sectional study involved 738 individuals aged 15-18 years old adolescents in public school in Kota Yogyakarta. Height and waist circumference were measured by microtoise and metline. Weight and fat percentage were measured by hand-to-foot BIA. BMI-for–age were determined by WHO Antroplus. Dieting pattern was determined by self-reported questionnaire food frequency questionaire which consisted of 91-food item. Data were analyzed by t-test, and linier regression and multiple regression.
Results: Overweight and obese were present in 13.41% and 5.43% subjects. In linear regression analysis, legumes, one dish meal, snacks, and sweetened beverages were negatively associated to BMI for age, waist circumference, waist to height ratio and fat pecentage (p<0.05). While in food items analysis, legumes, snacks and sweetened beverages were associated with the increase of waist circumference and fat percentage, while milk and soft drink as protective factor to the increase of fat percentage (-1.70 (-2.40;-1.00); -1.68 (-2.78;-0.58)).
Conclusion: In a conclusion, increase in BMI for age and waist circumference are more affected by the intake of high frequency of macronutrients, while increase in fat percentage were associated with sweetened beverages consumption.

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Keywords: dietary pattern; body fat; waist circumference

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Language : EN
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  1. Dietz W. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics. 1998. 101:518–525
  2. Departemen Kesehatan Republik Indonesia. Riset Kesehatan Dasar 2013 dalam angka. Jakarta: Badan Penelitian dan Pengembangan Kesehatan RI. 2013
  3. Hoffman, D.J., Sawaya, A.L., Verreschi, I., Tucker, K.L., Roberts, S.B.Why are nutritionally stunted children at increased risk of obesity? Studies of metabolic rate and fat oxidation in shantytown childrenfrom São Paulo, Brazil. American Journal of Clinical Nutrition. 2000. 72:702–7
  4. Sawaya AL, Grillo LP, Verreschi I, Carlos da Silva A, Roberts SB. Mild stunting is associated with higher susceptibility to the effects of high-fat diets: studies in a shantytown population in São Paulo, Brazil. Journal of Nutrittion. 1998. 128 (suppl):415S–20S
  5. Popkin, B.M., Adair, L.S., Ng, S.W. Global nutrition transition and the pandemic of obesity in developing countries. Nutrition Review. 2012.70(1):3-21
  6. Craig et al, Dietary patterns of school-age children in Scotland: association with socio-economic indicators, physical activity and obesity. Journal of Nutritition. 2010. 103 : 319-334
  7. McNaughton SA, Ball K, Mishra GD, et al. Dietary patterns of adolescents and risk of obesity and hypertension. J Nutr. 2008.138:364–370
  8. Li SJ, Park HY & Joung H. Dietary patterns are associated with sexual maturation in Korean children. Br J Nutr.2006.95:817–823
  9. Shin KO, Oh SY & Park HS. Empirically derived major dietary patterns and their associations with overweight in Korean preschool children. Br J Nutr. 2007. 98:416–421
  10. Mikkila V, Rasanen L, Raitakari OT, et al. Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr.2005. 93:923–931
  11. Fraser LK, Clarke GP, Cade JE, Edwards KL. Fast food and obesity: a spatial analysis in a large United Kingdom population of children aged 13-15. Am J Prev Med. 2012. 42(5):e77-85
  12. Libuda L, Alexy U, SichertHellert SW, Stehle P, Danckert NK, Buyken AE, Kersting M. Pattern of beverage consumption and longterm association with body weight status in German adolescents – results from the DONALD study. Br J Nutr. 2008; 99(6):1370-1379
  13. Gopinath B, Flood VM, Rochtchina E, Baur LA, Chun Yu Louie J, Smith W, Mitchell P. Carbohydrate Nutrition and Development of Adiposity During Adolescence. Obesity.2013; 21(9):1884-1890
  14. Wulandari, NWM, Muniroh, L., Susila, T. Asupan energi dan aktivitas fisik berhubungan dengan z-score imt/u anak sekolah dasar di daerah perdesaan. Media Gizi Indonesia.2015. 10(1):51-56
  15. Position of American Dietetic Association: Nutrition guidance for healthy children ages 2 to 11 years. J Am Diet Assoc. 2008
  16. Kusuma. Gambaran Pola Makan dan Status Gizi Mahasiswa Program Studi Ilmu Gizi Fakultas Kesehatan Masyarakat Universitas Hasanuddin Makassar. Skripsi Universitas Hasanuddin. 2014
  17. Rahayu, Asupan Energi, Pola Makan Dan Overweight/ Obesitas Siswa SMA Suku Papua Dan Suku Non Papua Di Distrik Abepura Kota Jayapura, Tesis S1 Ilmu Kesehatan Masyarakat, UGM.2015
  18. Yolahumaroh, Faktor Sosial Determinan, Pola Makan Dan Aktifitas Fisik Terhadap Kejadian Obesitas Pada Anak Sekolah Dasar Kelas IV dan V Di Kecamatan Tampan Kota Pekanbaru. Tesis S1 Ilmu Kesehatan Masyarakat,UGM.2013
  19. Walker SP, Rimm EB, Ascherio A, Kawachi I, Stampfer MJ, Willett WC.Body size and fat distribution as predictors of stroke among US men.Am J Epidemiol. 1996;144:1143–50
  20. Lakka HM, Lakka TA, Tuomilehto J, Salonen JT. Abdominal obesityis associated with increased risk of acute coronary events in men. Eur Heart J .2002;23:706–13
  21. Dehghan, M. & Merchant. A.T. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutrition Journal. 2008;7:26
  22. Wu, B.N., O’Sullivan, A.J. Sex differences in energy metabolism nees to be considered with lifestyle modification in human. Journal of Nutrition and Metabolism.2011:1-6
  23. Willet, W. Nutritional Epidemiology: Food-Frequency Methods chapter 6. Oxford Scholarship.1998
  24. Utter J, Scragg R, Mhurchu CN, Schaaf D: What effect do attempts to lose weight have on the observed relationship between nutrition behaviours and body mass index among adolescents? Int J Behav Nutr Phy. 2007, 4:40
  25. Lehto R, Ray C, Lahti-Koski M: Health behaviors, waist circumference and waist-to-height ratio in children. Eur J Clin Nutr. 2011. 65:841–848
  26. Skidmore P, Cassidy A, Swaminathan R, Richards J, Mangino M, Spector T, MacGregor A: An obesogenic postnatal environment is more important than the fetal environment for the development of adult adiposity: a study of female twins. Am J Clin Nutr. 2009, 90:401–406
  27. Lafay L, Mennen L, Basdevant A, Charles, M.A., Bprys, J.M., Eschwege E., Romonm M. Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Sante (FLVS) study. Int J Obes Relat Metab Disord. 2000. 24:1500–6
  28. Crichton, G.E & Alkerwi, A. Whole-fat dairy food intake is inversely associated with obesity prevalence: findings from the Observation of Cardiovascular Risk Factors in Luxembourg study. Nutr Res. 2014. 34(11): 936-943
  29. Garriguet, D. Under-reporting of energy intake in the Canadian Community Health Survey. Statistic Canada, Catalogue no. 82-003-XPE, Health reports 2008: 19(4)
  30. Ritchie. Less frequent eating predicts greater BMI and waist circumference in female adolescents. Am J Clin Nutr. 2012. 85:290-6
  31. Kaisari,P.,Yannakoulia,M,Panaqiotakos,DB. Eating frequency and overweight and obesity in children and adolescents: a meta-analysis. Pediatrics. 2013. 131(5): 958067
  32. Newby et al, Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr. 2003. 77:1417-25
  33. Newby. Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr. 2004. 80:504–13
  34. Valdiveloo. Dietary Variety Is Inversely Associated with Body Adiposity among US Adults Using a Novel Food Diversity Index. J nutrition. 2015. 145:555-63
  35. Schoenfeld, B.J., Aragon, A.A., Krieger, J.W. Effects of meal frequency on weight loss and body composition: a meta-analysis. Nutrition Reviews. 2015.73(2):69-82

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