Abstract
Nutritional assessment in adolescents is key to detect major health risks at this age, such as obesity and under nutrition, which continue as adult health risks. Recent epidemiological evidence in Korea has shown that obesity is quite prevalent. Scientific protocols assessing nutritional status should be used in various clinical settings, particularly in hospitals and schools. Recent protocols are typically based on growth charts, calorie calculating equations, and Dietary Reference Intakes in Korea which have been developed through extensive studies. Non-communicable chronic diseases, such as type II diabetes mellitus and atherosclerosis could be ameliorated by intervening in behaviors related to nutrition.
References
1. Diet, Nutrition and the Prevention of Chronic Diseases: Report of a joint WHO/FAO expert consultation. 2003. Geneva: World Health Organization.
2. Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997. 337:869–873.
3. Steinberger J, Daniels SR, Eckel RH, Hayman L, Lustig RH, McCrindle B, et al. Progress and challenges in metabolic syndrome in children and adolescents: a scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism. Circulation. 2009. 119:628–647.
4. Oh K, Jang MJ, Lee NY, Moon JS, Lee CG, Yoo MH, et al. Prevalence and trends in obesity among Korean children and adolescents in 1997 and 2005. Korean J Pediatr. 2008. 51:950–955.
5. Moon JS, Lee SY, Nam CM, Choi JM, Choe BK, Seo JW, et al. 2007 Korean National Growth Charts: review of developmental process and an outlook. Korean J Pediatr. 2008. 51:1–25.
6. Moon JS, Lee CG, Hwang SS, Park HW, Lee HK, Lee GO. Analysis of 2007 school health examination data and development of revisional plan for the school health screening system in Korea. 2008. Seoul: Ministry of Education, Science and Technology.
7. Lee KO, Moon JS, Hwang SS. Analysis of 2008 school health examination data and sample design for 2009 school health survey. 2009. Seoul: Ministry of Education, Science and Technology.
8. Moon JS, Lee KO, Hwang SS, Ko JS, Lee HK, Shin HJ, et al. Analytic Report on the Revised Korean National Sample Data from the National School Health Examination in 2009 and 2010. 2011. Seoul: Ministry of Health, Science and Technology (Korea), Korean Educational Development Institute.
9. Prieto MB, Cid JL. Malnutrition in the critically ill child: the importance of enteral nutrition. Int J Environ Res Public Health. 2011. 8:4353–4366.
10. Baker JP, Detsky AS, Whitwell J, Langer B, Jeejeebhoy KN. A comparison of the predictive value of nutritional assessment techniques. Hum Nutr Clin Nutr. 1982. 36:233–241.
11. Detsky AS, McLaughlin JR, Baker JP, Johnston N, Whittaker S, Mendelson RA, et al. What is subjective global assessment of nutritional status? JPEN J Parenter Enteral Nutr. 1987. 11:8–13.
13. Secker DJ, Jeejeebhoy KN. Subjective global nutritional assessment for children. Am J Clin Nutr. 2007. 85:1083–1089.
14. Kyle UG, Kossovsky MP, Karsegard VL, Pichard C. Comparison of tools for nutritional assessment and screening at hospital admission: a population study. Clin Nutr. 2006. 25:409–417.
15. Gueri M, Gurney JM, Jutsum P. The Gomez classification. Time for a change? Bull World Health Organ. 1980. 58:773–777.
16. Waterlow JC. Classification and definition of protein-calorie malnutrition. Br Med J. 1972. 3:566–569.
17. World Health Organization. Training course on child growth assessment. Version 1. 2006. Geneva: WHO.
18. Moon JS, Lee SY, Nam CM, Choi JM, Choe BK, Seo JW, et al. 2007 Korean national growth charts: review of developmental process and an outlook. Korean J Pediatr. 2008. 51:1–25.
19. Jensen GL, Mirtallo J, Compher C, Dhaliwal R, Forbes A, Grijalba RF, et al. Adult starvation and disease-related malnutrition: a proposal for etiology-based diagnosis in the clinical practice setting from the International Consensus Guideline Committee. JPEN J Parenter Enteral Nutr. 2010. 34:156–159.
20. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985. 39:Suppl 1. 5–41.
21. Firouzbakhsh S, Mathis RK, Dorchester WL, Oseas RS, Groncy PK, Grant KE, et al. Measured resting energy expenditure in children. J Pediatr Gastroenterol Nutr. 1993. 16:136–142.
22. Lawrence JC, Lee HM, Kim JH, Ki EK. Variability in results from predicted resting energy needs as compared to measured resting expenditure in Korean children. Nutr Res. 2009. 29:777–783.
23. Hofsteenge GH, Chinapaw MJ, Delemarre-van de Waal HA, Weijs PJ. Validation of predictive equations for resting energy expenditure in obese adolescents. Am J Clin Nutr. 2010. 91:1244–1254.
24. Kudsk K, Sacks G. Shils M, editor. Ch. 91. Nutrition in the care of the patient with surgery, trauma, and sepsis. Modern nutrition in health and disease. 2005. 10th ed. Philadelphia: Lippincott Williams & Wilkins.
25. Kelder SH, Perry CL, Klepp KI, Lytle LL. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health. 1994. 84:1121–1126.
26. Whitlock EP, O'Connor EA, Williams SB, Beil TL, Lutz KW. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010. 125:e396–e418.
27. Foster GD, Linder B, Baranowski T, Cooper DM, Goldberg L, et al. HEALTHY Study Group. A school-based intervention for diabetes risk reduction. N Engl J Med. 2010. 363:443–453.
28. Vartiainen E, Puska P, Jousilahti P, Korhonen HJ, Tuomilehto J, Nissinen A. Twenty-year trends in coronary risk factors in north Karelia and in other areas of Finland. Int J Epidemiol. 1994. 23:495–504.
29. Puska P, Vartiainen E, Tuomilehto J, Salomaa V, Nissinen A. Changes in premature deaths in Finland: successful long-term prevention of cardiovascular diseases. Bull World Health Organ. 1998. 76:419–425.