Comparison of Activity Factor, Predicted Resting Metabolic Rate, and Intakes of Energy and Nutrients Between Athletic and Non-Athletic High School Students

운동군과 비운동군 고등학생의 활동량, 활동계수, 예측 휴식대사량, 1일 에너지 및 영양소 섭취량의 비교

  • Kim, Eun-Kyung (Dept. of Food Science, Kangnung National University) ;
  • Kim, Gwi-Sun (Dept. of Food Science, Kangnung National University) ;
  • Park, Ji-Sun (Dept. of Food Science, Kangnung National University)
  • 김은경 (강릉대학교 생명과학대학 식품과학과) ;
  • 김귀선 (강릉대학교 생명과학대학 식품과학과) ;
  • 박지선 (강릉대학교 생명과학대학 식품과학과)
  • Received : 2008.12.03
  • Accepted : 2008.12.31
  • Published : 2009.02.02

Abstract

This study compared activity factor. predicted resting metabolic rate (RMR), and nutrient intakes between athletic and non-athletic high school students in Gangwon-do. Fifty soccer players (30 males and 20 females; mean ages 16.7${\pm}$1.0 years and 16.4${\pm}$1.1 years. respectively) and 50 non-athletic (30 males and 20 females: mean ages 17.5${\pm}$0.4 years and 16.4${\pm}$1.1 years respectively) high school students were included. Anthropometric measurements included: weight and height. triceps skinfold, mid-ann circumference, and body fat. Prediction equations consisted of those from the Harris-Benedict. FAO/WHO/VNU, IMNA, Cunningham, Mifflin et al., and Owen et al. A one-day activity diary was collected by interview, and the 24-hour recall method was used to analyze nutrient intakes of subjects. The activity factors of the male and female athletic groups (2.23 and 2.16, respectively) were significantly higher than those (1.52 and 1.46, respectively) of the non-athletic group. There was only a significant difference in RMR by use of the Cunningham's equation between two groups. For the males. almost all nutrient intakes of the athletic group (except carbohydrate, iron, vitamin $B_1$, $B_6$, and niacin) of athletic group were significantly higher than those of the non-athletic group. The female athletic group showed significantly higher nutrient intakes with the exception of most vitamins. These results suggest that assessments of energy balance between energy intake and energy expenditure by employing RMR and activity factors would be useful to prevent and treat obesity in high school athletes. In addition, the Cunningham's equation would be appropriate for predicting their energy needs.

Keywords

References

  1. 대한영양사협회 (1999): 사진으로 보는 음식의 눈 대중량. 서울. 대한영양사협회
  2. 일본후생성 (1985): 일본인 영양소요량 5차 자료
  3. 통계청 (2005): 2004년 생활시간조사표
  4. Choi HJ Song JM, Kim EK (2005): Assessment of daily steps, activity coefficient, body composition, resting energy expenditure and daily energy expenditure in female university students. J Korean Diet Assoc 11(2): 159-169
  5. Choi MJ, Choi SY (2007): Nutrient intakes and eating habit of middle school athletes in Daegu area. Korean J Exercise Nutr 11(2):87-96
  6. Cunningham JJ (1980): A reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr 33(11):2372-2374 https://doi.org/10.1093/ajcn/33.11.2372
  7. Cunningham JJ (1991): Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. Am J Clin Nutr 54(6):963-969 https://doi.org/10.1093/ajcn/54.6.963
  8. De Lorenzo A, Bertini I, Candeloro N, Piccinelli R, Innocente I, Brancati A (1999a): A new predictive equation to calculate resting metabolic rate in athletes. J Sports Med Phys Fitness 39(3):213-219
  9. De Lorenzo A, Bertini I, Puijia A, Testolin G, Testolin C (1999b): Comparison between measured and predicted resting metabolic rate in moderately active adolescents. Acta Diabetol 36(3):141-145 https://doi.org/10.1007/s005920050157
  10. FAO/WHO/UNU (1985): Energy and protein requirements: report of joint WHO/FAO/UNU expert consultation. Geneva: World Health Organization. Technical Report Series no. 724:71-112
  11. Gilliat-Wimberly M, Manore MM, Woolf K, Swan PD, Carroll SS (2001): Effects of habitual physical activity on the resting metabolic rates and body compositions of women aged 35 to 50 years. J Am Diet Assoc 101(10):1181-1188 https://doi.org/10.1016/S0002-8223(01)00289-9
  12. Grandjean AC (1989): Macronutrient intake of US athletes compared with the general population and recommendations made for ahtletes, Am J Clin Nutr 49(5 Suppl): 1070S-1076 https://doi.org/10.1093/ajcn/49.5.1070
  13. Harris JA, Benedict FG (1919): A biometric study of basal metabolism in man. Carnegie Ins. Washington D.C.
  14. Heymsfield SB, McManus CB, Smith J, Stevens V. Nixon DW (1982): Anthropometric measurement of muscle mass: revised equations for calculating bone-free arm muscle area. Am J Clin Nutr 36(4):680-690 https://doi.org/10.1093/ajcn/36.4.680
  15. Institute of Medicine of the National Academies (2002): Dietary reference intakes for energy, carbohydrate fiber, fat, fatty acids, cholesterol, protein, and amino acids. The National Academies Press. Wsahington D.C. pp.5-68
  16. Jang HS (2003): Identification of the nutrient intakes, energy expenditure according to exercise level of middle school students. Korean J Exercise Nutr 7(1):217-222
  17. Jung KA, Hwang SH, Kim C, Lee JK, Chang YK (2002): An evaluation of the nutritional status and the desirable time and period for dietary record in male high school Taekwondo athletes. Korean J Nutr 35(2):237-249
  18. Kim EK, Kim EK, Song JM, Choi HJ, Lee GH (2006): Assessment of activity coefficient, resting energy expenditure and daily energy expenditure in elementary school children. J Korean Diet Assoc 12(1):44-54
  19. Kim EM, Choi MG (2007): The relationships of leisure activities and happiness of adolescents. J Child Education 16(1):155-172
  20. Kim HY (2003): Frequency of anemia and related nutrient intake in high school runners. Korean J Exercise Nutr 7(3):303-309
  21. Kim YN, Na HJ (2003): The estimation of the daily energy expenditure of Korean adolescents. Korean J Comm Nutr 8(3):270-279
  22. Korean Nutrition Society (2005a): Computer Aided Nutritional Analysis Program (CAN-Pro, version 2.0)
  23. Korean Nutrition Society (2005b): Dietary reference intakes for Koreans. Korean Nutrition Society. Seoul
  24. Lee DO, Lee CJ (2001): An analysis on body composition development trend of youth. Korean J Physical Education 40(2):899-911
  25. Lee GH (2006) Energy expenditures and validity of predicted resting metabolic rates in university students. Master degree thesis. Kangnung National University
  26. Lee HM, Kim EK (2007): Assessment of daily steps, physical activity and activity coefficient of the elementary school children in rural area. Korean J Comm Nutr 12(3):361-371
  27. Lee JS, Kim MH, B YJ, Choi YH, Sung JJ (2005): A study of dietary habits, nutrition intake status and serum copper and zinc concentration of adolescent athletes. Korean J Nutr 38(6):465-474
  28. Lee JS, Kim NY, Lee YW (2008): A study on dietary behaviors, nutrition intakes status and hematological status of middle school football players in Busan, Korean J Comrn Nutr 13(5):301-609
  29. Lee JS, Lee GH, Kim EK (2006): Assessment of daily steps, activity coefficient and daily energy expenditures of dieticians in Youngdong-area, J Korean Diet Assoc 12(3):277-288
  30. Lee SH. Park JS, Kim EK (2007): Assessment of daily steps, physical activities and activity coefficient of policemen who do shill-work. Korean J Nutr 40(6):576-583
  31. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO (1990): A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 51(2):241-247 https://doi.org/10.1093/ajcn/51.2.241
  32. Ministry of Health and Welfare of Korea (2006): Report of 2005 National health and nutrition survey
  33. Owen OE, Holup JL, D'Alessio DA, Craig ES, Polansky M, Smalley KJ, Kavle EC, Bushman MC, Owen LR Mozzoli MA (1987): A reappraisal of the caloric requirements of men. Am J Clin Nutr 46(6):875-885 https://doi.org/10.1093/ajcn/46.6.875
  34. Park JA, Kim KJ, Yoon JS (2004): A composition of energy intake and energy expenditure in normal-weight and overweight Korean adults. Korean J Comm Nutr 9(3):285-291
  35. Ravussin E, Bogardus C (1989): Relationship of genetics, age and physical finess to daily energy expenditure and fuel utilization. Am J Clin Nutr 49(5 Suppl):968S-975S https://doi.org/10.1093/ajcn/49.5.968
  36. SAS PC package (ver 9.1)
  37. Sparti A, DeLany JP, de la Bretonne JA, Sander GE, Bray GA (1997): Relationship between resting metabolic rate and the composition of the fat-free mass. Metabolism 46(10):1225-1230 https://doi.org/10.1016/S0026-0495(97)90222-5
  38. Thompson J, Manore MM (1996): Predicted and measured resting metabolic rate of male and female endurance athletes. J Am Diet Assoc 96(1):30-34 https://doi.org/10.1016/S0002-8223(96)00010-7
  39. Tudor-Locke CE, Myers AM (2001): Methodological considerations for researchers and practitioners using pedometers to measure physical (ambulatory) activity. Res Q Exerc Sport 72(1):1-12 https://doi.org/10.1080/02701367.2001.10608926
  40. Tudor-Locke CE, Pangrazi RP, Corbin CB, Rutherford WJ, Cuddihy TF (2004): BMI-referenced standards for recommended pedometer determined step/day in children. Preventive Medicine 38(6):857-864 https://doi.org/10.1016/j.ypmed.2003.12.018
  41. Welk GJ (2002): Physical activity assessment for health-related research. Human Kinetics. pp.163-178
  42. Yoon GA (2001): Relationship of weight status and physical activity of adolescents in Busan city. Korean J Nutr 34(1): 39-47