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Comparison of total energy expenditure between the farming season and off farming season and accuracy assessment of estimated energy requirement prediction equation of Korean farmers

  • Kim, Eun-Kyung (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Yeon, Seo-Eun (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Lee, Sun-Hee (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Choe, Jeong-Sook (National Academy of Agricultural Science, Rural Development Administration)
  • Received : 2014.03.13
  • Accepted : 2014.11.03
  • Published : 2015.02.01

Abstract

BACKGROUND/OBJECTIVES: The purposes of this study were to compare total energy expenditure (including PAL and RMR) of Korean farmers between the farming season and off farming season and to assess the accuracy of estimated energy requirement (EER) prediction equation reported in KDRIs. SUBJECTS/METHODS: Subjects were 72 Korean farmers (males 23, females 49) aged 30-64 years. Total energy expenditure was calculated by multiplying measured RMR by PAL. EER was calculated by using the prediction equation suggested in KDRIs 2010. RESULTS: The physical activity level (PAL) was significantly higher (P < 0.05) in the farming season (male $1.77{\pm}0.22$, female $1.69{\pm}0.24$) than the off farming season (male $1.53{\pm}0.32$, female $1.52{\pm}0.19$). But resting metabolic rate was significantly higher (P < 0.05) in the off farming season (male $1,890{\pm}233kcal/day$, female $1,446{\pm}140kcal/day$) compared to the farming season (male $1,727{\pm}163kcal/day$, female $1,356{\pm}164kcal/day$). TEE ($2,304{\pm}497kcal/day$) of females was significantly higher in the farming season than that ($2,183{\pm}389kcal/day$) of the off farming season, but in males, there was no significant difference between two seasons in TEE. On the other hand, EER of male and female ($2,825{\pm}354kcal/day$ and $2,115{\pm}293kcal/day$) of the farming season was significantly higher (P < 0.05) than those ($2,562{\pm}339kcal/day$ and $1,994{\pm}224kcal/day$) of the off farming season. CONCLUSIONS: This study indicates that there is a significant difference in PAL and TEE of farmers between farming and off farming seasons. And EER prediction equation proposed by KDRI 2010 underestimated TEE, thus EER prediction equation for farmers should be reviewed.

Acknowledgement

Supported by : The Rural Development Administration of Korea (RDA)

References

  1. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2011: Korea National Health and Nutrition Examination Survey (KNHANES V-2). Cheongwon: Korea Centers for Disease Control and Prevention; 2012.
  2. Health Assistant for Obesity Management. Seoul: Hanmi Medical Publishing Co.; 2003.
  3. Lee JA, Kong KH, Ko HY, Bae KH, Park SY, Park KM, Song YK, Park JH, Kim HJ, Park SJ, Park JS, Ko SG. Recent topics of clinical trials in obesity and metabolic study. J Soc Korean Med Obes Res 2009;9:15-22.
  4. Kim HN, Jun SG, Jung HR, Lee DS. The energy expenditure of female farmer. In: Survey Improvement Nutrition of Farming. Seoul: Rural Development Administration; 1986. p. 133-51.
  5. Lim WJ, Yoon JS. A longitudinal study on seasonal variations of physical activity and body composition of rural women. Korean J Nutr 1995;28:893-903.
  6. Lee KY, Cho HK, Kim OS, Lee YS, Lee SM, Hong DS, Cho HS, Kim YK, Kim JH. An analysis of rural families' time-use. J Korean Home Manage Assoc 2006;24:205-22.
  7. Choi JW, Hwang KS. The adaptability of Korean farmers to environment by the seasonal fluctuation of energy expenditure, cold and heat tolerance. Korean J Community Living Sci 2006;17: 49-60.
  8. World Health Organization (CH). World Health Organization Technical Report Series 724: Energy and Protein Requirements. Report of a Joint FAO/WHO/UNU Expert Consultation. Geneva: World Health Organization; 1985.
  9. Park J, Kazuko IT, Kim E, Kim J, Yoon J. Estimating free-living human energy expenditure: practical aspects of the doubly labeled water method and its applications. Nutr Res Pract 2014;8:241-8. https://doi.org/10.4162/nrp.2014.8.3.241
  10. Kim EK, Lee SH, Ko SY, Yeon SE, Choe JS. Assessment of physical activity level of Korean farmers to establish estimated energy requirements during busy farming season. Korean J Community Nutr 2011;16:751-61. https://doi.org/10.5720/kjcn.2011.16.6.751
  11. Weir JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 1949;109:1-9.
  12. Ministry of Health, Labour and Welfare (JP). The Fifth Japanese Dietary Allowance. Tokyo: Ministry of Health, Labour and Welfare; 1985.
  13. Rural Development Administration, Research and Training Institute Rural Nutrition Improvement. Energy Metabolism in Different Activities. Suwon: Research and Training Institute Rural Nutrition Improvement; 1994.
  14. The Korean Nutrition Society. Dietary Reference Intakes for Koreans. Seoul: The Korean Nutrition Society; 2010.
  15. World Health Organization (CH). WHO Technical Report Series 894: Obesity: Preventing and Managing the Global Epidemic. Report of a WHO consultation. Geneva: World Health Organization; 2000.
  16. Schultink WJ, Klaver W, Van Wijk H, Van Raaij JM, Hautvast JG. Body weight changes and basal metabolic rates of rural Beninese women during seasons with different energy intakes. Eur J Clin Nutr 1990;44 Suppl 1:31-40.
  17. Bleiberg FM, Brun TA, Goihman S, Gouba E. Duration of activities and energy expenditure of female farmers in dry and rainy seasons in Upper-Volta. Br J Nutr 1980;43:71-82. https://doi.org/10.1079/BJN19800065
  18. Ministry of Health and Welfare (KR). A Study to Determine the Recommended Dietary Allowance of Energy and to Develop Practical Dietary Education Program for Korean Adults. Gwacheon: Ministry of Health and Welfare; 2002.
  19. Park JA, Kim KJ, Yoon JS. A comparison of energy intake and energy expenditure in normal-weight and over-weight Korean adults. Korean J Community Nutr 2004;9:285-91.
  20. Lee JS, Lee GH, Kim EK. Assessment of daily steps, activity coefficient and daily energy expenditures of dieticians in the Youngdong-area. J Korean Diet Assoc 2006;12:277-88.
  21. Durnin JV, Drummond S, Satyanarayana K. A collaborative EEC study on seasonality and marginal nutrition: the Glasgow Hyderabad (S. India) Study. Eur J Clin Nutr 1990;44 Suppl 1:19-29.
  22. Westerterp KR, Meijer GA, Janssen EM, Saris WH, Ten Hoor F. Long-term effect of physical activity on energy balance and body composition. Br J Nutr 1992;68:21-30. https://doi.org/10.1079/BJN19920063
  23. Seong BJ, Kim CK. The effects of swimming exercise on body composition and hormone of obese adolescents. Exerc Sci 1999;8: 447-59.
  24. Kim CK, Sung BJ. The effects of aerobic exercise on the serum leptin in young obese subjects. J Sports Sci Res 1999;18:61-71.
  25. Kim YM, Quan ZY, Kim MK, Choi BY. Trends in obesity in rural Korean adults (1990-1999). J Agric Med Community Health 2005;30:113-20.
  26. Rennie DW, Covino BG, Blair MR, Rodahl K. Physical regulation of temperature in Eskimos. J Appl Physiol 1962;17:326-32. https://doi.org/10.1152/jappl.1962.17.2.326
  27. Rabinowitch IM, Smith FC. Metabolic studies of Eskimo in the Canadian eastern aretic. J Nutr 1963;12:337-56.
  28. Yoshimura M, Yukiyoshi K, Yoshioka T, Takeda H. Climatic adaptation of basal metabolism. Fed Proc 1966;25:1169-76.
  29. Fujimoto S, Watanabe T. Seasonal variation of energy metabolism. Acta Med Nagasaki 1965;10:1-11.
  30. Nakamura M, Hori S, Sugawara K, Tsuchimoto M, Ihzuka H, Sugawara M, Nohara H, Kuwano K. Basal metabolism and serum protein bound iodine and characteristics of their seasonal variations in Okinawa-inhabitants. Jpn J Biometeorol 1980;17:78-86.
  31. Hwang KS, Choi JW. Effect of occupational cold exposure on the human cold-resistance. J Korean Home Econ Assoc 1997;35:53.
  32. Lee KY, Chee SH, Hong SK, Sung YH. Seasonal variations in the basal metabolic rate of Korean airmen volunteers. Korean J Physiol 1972;6:95-102.
  33. Frankenfield D, Roth-Yousey L, Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc 2005;105: 775-89. https://doi.org/10.1016/j.jada.2005.02.005

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