Sun-Hee Lee; Seo-Eun Yeon; Hee-Ryoung Son; Jung Sook Choi; Eun Kyung Kim

doi:10.5720/kjcn.2012.17.5.652

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Assessment of Energy Intake and Physical Activity Level for Korean Farmers to Establish Estimated Energy Requirements during the Off-Season for Farmers: Sun-Hee Lee, Seo-Eun Yeon, Hee-Ryoung Son, Jung Sook Choi, Eun Kyung Kim; Korean Journal of Community Nutrition 2012;17(5):652-663.
DOI: https://doi.org/10.5720/kjcn.2012.17.5.652
Published online: October 31, 2012

Department of Food and Nutrition, Gangneung-Wonju National University, Gangwon-do, Korea.

¹National Academy of Agricultural Science, Rural Development Administration, Suwon, Korea.

Corresponding author: Eun Kyung Kim, Department of Food & Nutrition, Gangneung-Wonju National University,7 Jukheon road, Gangneung, Gangwon-do 210-702, Korea. Tel: (033) 640-2336, Fax: (033) 640-2330, ekkim@gwnu.ac.kr

• Received: September 26, 2012 • Revised: October 11, 2012 • Accepted: October 24, 2012

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Abstract
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REFERENCES

Abstract

The purpose of this study was to assess the physical activity level of Korean farmers to establish estimated energy requirements during the off-season. Subjects were 90 healthy males (n = 25) and females (n = 65). Body weight, height and body fat and muscles of subjects were measured. The prevalence of obesity among farmers was 56.7% according to the BMI. The farmers spent about 18 hours 7 minutes (75.5%) in sleeping and resting. The farmers spent about 19 hours 56 minutes (83.1%) out of 24 hours (one day) in "sedentary activities" and spent about 3 hours 56 minutes (16.4%) in "light activities". Physical activity level (PAL, activity coefficient) of female farmers was 1.42 which was not significantly higher than that (1.37) of male farmers. Estimated energy requirements (EER) for farmers who were different in age groups and gender were calculated. For example, the EERs for male and female farmers were 2190 kcal/day and 1712 kcal/day, respectively. The daily energy intakes of male and female farmers were 1803 kcal/day and 1610 kcal/day, respectively. The EER of male farmers was 2190 kcal/day which was significantly higher than that (1803 kcal/day) of the recommended daily energy intake of male farmers. The results of this study suggest that estimated EER of farmers should be modified according to seasonal workload and energy balance of farmers should be evaluated to prevent obesity.
Keywords: physical activity level; farmer; energy expenditure; energy intake; estimated energy requirement

NOTES

This work supported by grants from rural development administration of Korea (RDA: 20110701-037-506-001-03-00)

REFERENCES

1. Belko AZ, Obarzanek E, Kalkarf HJ, Rotter MA, Bogusz S, Miller D, Haas J, Roe DA. Effect of exercise on riboflavin requirements of young women. Am J Clin Nutr. 1983; 37: 509-517.PubMed
2. Choi JC, Gim GM, Lee JY, Kang Kh. Analyzing the time use of rural daily life on farm couple. Korean J Agric Extension. 2003; 14(1): 231-247.
3. Choi JH, 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(2): 49-60.
4. Ford ES, Giles WH, Dietz WH. Prevalence of the metabolicsyndrome among US adults:Findings from the third National Health and Nutrition Examination Survey. JAMA. 2002; 287: 356-359.Article PubMed
5. Han YS, Lee YS. The rice and barley farm couples time use patterns. J Korean Fam Resour Manage Assoc. 2007; 11(2): 5-132.
6. Hubert HB, Feinleib M, McNamara PM, Castelli WP. Obestity as an independent risk factor for cardiovascular diease: A 26-ear follow up of participants in the farmingham heart study. Circulation. 1983; 67: 968-977.Article PubMed
7. Johnson RK, Goran MI, Poehlman ET. Correlations of over- and underrporting of energy intake in healthy older men and women. Am J Clin Nutr. 1994; 59: 1286-1290.PubMed
8. Jung KH, Lee YK. Regional Difference in elderly welfare services and policy issues. Health Welf Policy Forum. 2004; 92: 53-61.
9. Kim EK, Kim EK, Song JM, Choi HJ, Lee KH. Assessment of activity coefficient, resting energy expenditure and daily energy expenditure in elementary school children. J Korean Diet Assoc. 2006; 12(1): 44-54.
10. Kim EK, Kim GS, Park JS. Comparison of activity factor, predicted resting metabolic rate, and intakes of energy and nutrients between athletic and non-athletic high school students. J Korean Diet Assoc. 2009; 15(1): 52-68.
11. 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(6): 751-761.Article
12. Kim HN, Jun SG, Jung HR, Lee DS. The energy expenditure of female farmer. survey improvement nutrition of farming. 1986; Seoul: Rural Development Administration; 133-151.
13. Kim HN, Lee DT, Rhie SG. The energy expenditure of female farmers in Kyunggki area. J Korean Soc Food Sci Nutr. 1989; 18(2): 189-194.
14. Kim JH, Kim EK. Assessment of physical activity, activity coefficient of preschool children and actual condition of daycare center outdoor play. Korean J Community Nutr. 2009; 14(6): 777-788.
15. Kim YM, Jeon JO, Kim MG, Choe BY. Trend in body mass index at a rural korean community. J Agric Med Community Health. 2005; 30: 113-120.
16. Kim Y, Na HJ. The estimation of daily energy expenditure of Korean adolescents. Korean J Community Nutr. 2003; 8(3): 270-279.
17. Korea Centers for Disease Control and Prevention; KCDC. 2007; cited 2012 October 2. Available from www.cdc.go.kr.
18. Korean Society for the Study of Obesity. Nutrition assessment. 2000; Paju: Kyomunsa.
19. Lim WJ, Yoon JS. A longitudinal study on seasonal variation of physicl activity and body composition of rural women. Korean J Nutr. 1995; 28(9): 893-903.
20. Lim WJ, Yoon JS. A study on health status, meal management, and seasonal variation of nutrient intake of rural women. J Korean Soc Food Sci Nutr. 1997; 26(6): 1215-1220.
21. Lee KY, Cho HK, Kim OS, Lee SM, Hong DS, Cho HS, Kim YK, Kim JK. An analysis of rural families' time use. J Korean Home Manage Assoc. 2006; 24(5): 205-222.
22. Lee SG, Jun SG, Gwan GH. Expenditure energy of farm work model. survey improvement nutrition of farming. 1986; Seoul: Rural Development, Administration; 255-291.
23. Lee SH, Park JS, Kim EK. Assessment of daily steps, physical activities and activity coefficient of policemen who do shift-work. Korean J Nutr. 2007; 40(6): 576-583.
24. Lim HS, Hwang GH. A survey of nutrition and blood concents of rural women in Korea. Korean J Nutr. 1982; 5(3): 171-180.
25. Lim WJ, Yoon JS. A longitudinal study on seasonal variation of physicl activity and body composition of rural women. Korean J Nutr. 1995; 28(9): 893-903.
26. Lim WJ, Yoon JS. Effects of dietary intake and work activity on seasonal variation of riboflavin status in rural women. Korean J Nutr. 1996; 29(9): 1003-1012.
27. Lim WJ, Yoon JS. : A study on health status, meal management, and seasonal variation of nutrient intake of rural women. J Korean Soc Food Sci Nutr. 1997; 26(6): 1215-1220.
28. Lissner L, Habicht JP, Strupp BJ, Levitsky DA, Haas JD, Roe DA. Body composition and energy intake:do overweight women overeat and underreport? Am J Clin Nutr. 1989; 49: 320-325.Article PubMed
29. MacGregor DC. Psychology, meaning and the challenges of longevity. Futures. 2003; 35: 575-588.Article
30. Ministry of Health. Labour and Welfare. The Fifth Japanese Dietary Allowance. 1985.
31. Ministry of Health and Welfare. National Health and Nutritional Survey Report in Korean. 2010.
32. Moon EH. Implementation and evaluation of nutrition education program for hypertensive patients among sdults aged 50 and over. 2004; Seoul: Department of Nutrition. The Graduate School of Seoul Women's University; 35-52 Master's degree thesis.
33. Myers RJ, Klesges RC, Eck LH, Hanson CL, Klem ML. Accuracy of self-reports of food intake in obese and normal-weight individuals:effects of obestity on self-reports of dietary intake in adults females. Am J Clin Nutr. 1988; 48: 1248-1251.PubMed
34. Park MY, Yi BS, Lee KJ, Mo SM. Nutrition and parasite of rural fertile women of the family health project area in Korea. Korean J Nutr. 1981; 14(4): 200-208.
35. Statistics Korea. Socio-Statistical Survey. 2009.
36. Statistics Korea. Socio-Statistical Survey. 2010.
37. Statistics Korea. Socio-Statistical Survey. 2011.
38. The Korean Nutrition Society. Dietary Reference Intakes for Koreans. 2005; Seoul: Korean Nutrition Society.
39. The Korean Nutrition Society. Dietary Reference Intakes for Koreans. 2010; Seoul: Korean Nutrition Society.
40. Williams DM. Exercise, affect, and adherence: an integrated model and a case for self-paced exercise. J Sport Exerc Psychol. 2008; 30(5): 471-496.Article PubMed PMC
41. Yoon JS, Kim KJ, Kim JH, Park YS, Koo JO. A study to determine the recommended dietary allowance of energy and to develop practical dietary education program for Korean adults. 2002; Keimyung University, Ministry of Health and Welfare.

Table 1

Distribution of subjects by gender and age groups

1) N (%)

Not significantly different in mean age and subject's distribution between male and female

Table 2

Physical activity categories according to the level of intensity

1) Physical activity ratio (PAR) expressed as multiples of basal metabolic rate (RMR)

Table 3

Anthropometric measurements of subjects by gender

1) Mean ± SD

2) Significant different between male and female at ^***: p < 0.001 by t-test

Table 4

Prevalence of hypertension and obesity among subjects

1) N (%)

Not significantly different in distribution between male and female by χ²-test

Table 5

The time spent on each activity by the physical activity categories

1) Mean ± SD (min, %)

Significant different between male and female at ^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by t-test

Table 6

Comparison of spending time (min,%) of subjects by 4 activity levels

1) Classification of 18 activities levels to 4 activity levels

2) Mean ± SD

3) min (%)

Not Significant different between male and female by t-test

Not Significant different among age group by Duncan's multiple comparison test

Table 7

Comparison of physical activity level(PAL) by gender and age groups

1) Mean ± SD

Not Significant different between male and female by t-test

Not Significant different among age group by Duncan's multiple comparison test

Not significantly different in distribution between male and female by χ²-test

Table 8

Estimated energy requirements(EER) and energy intakes by age group and gender

1) Unit : Kcal/day

2) Mean ± SD

Significant different between male and female at ^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by t-test

abc: Means with same superscripts are not significantly different at p<0.05 by Duncan's multiple comparison test

Significant different between daily energy intake and estimated energy requirements at ^†: p < 0.05, ^††: p < 0.01, ^†††: p < 0.001 by paired t-test

Figure & Data

REFERENCES

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Assessment of Energy Intake and Physical Activity Level for Korean Farmers to Establish Estimated Energy Requirements during the Off-Season for Farmers

Korean J Community Nutr. 2012;17(5):652-663. Published online October 31, 2012

DOI: https://doi.org/10.5720/kjcn.2012.17.5.652

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Assessment of Energy Intake and Physical Activity Level for Korean Farmers to Establish Estimated Energy Requirements during the Off-Season for Farmers

Table 1

Distribution of subjects by gender and age groups

1) N (%)

Not significantly different in mean age and subject's distribution between male and female

Table 2

Physical activity categories according to the level of intensity

1) Physical activity ratio (PAR) expressed as multiples of basal metabolic rate (RMR)

Table 3

Anthropometric measurements of subjects by gender

1) Mean ± SD

2) Significant different between male and female at ^***: p < 0.001 by t-test

Table 4

Prevalence of hypertension and obesity among subjects

1) N (%)

Not significantly different in distribution between male and female by χ²-test

Table 5

The time spent on each activity by the physical activity categories

1) Mean ± SD (min, %)

Significant different between male and female at ^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by t-test

Table 6

Comparison of spending time (min,%) of subjects by 4 activity levels

1) Classification of 18 activities levels to 4 activity levels

2) Mean ± SD

3) min (%)

Not Significant different between male and female by t-test

Not Significant different among age group by Duncan's multiple comparison test

Table 7

Comparison of physical activity level(PAL) by gender and age groups

1) Mean ± SD

Not Significant different between male and female by t-test

Not Significant different among age group by Duncan's multiple comparison test

Not significantly different in distribution between male and female by χ²-test

Table 8

Estimated energy requirements(EER) and energy intakes by age group and gender

1) Unit : Kcal/day

2) Mean ± SD

Significant different between male and female at ^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by t-test

abc: Means with same superscripts are not significantly different at p<0.05 by Duncan's multiple comparison test

Significant different between daily energy intake and estimated energy requirements at ^†: p < 0.05, ^††: p < 0.01, ^†††: p < 0.001 by paired t-test

Table 1 Distribution of subjects by gender and age groups

1) N (%)

Not significantly different in mean age and subject's distribution between male and female

Table 2 Physical activity categories according to the level of intensity

1) Physical activity ratio (PAR) expressed as multiples of basal metabolic rate (RMR)

Table 3 Anthropometric measurements of subjects by gender

1) Mean ± SD

2) Significant different between male and female at ^***: p < 0.001 by t-test

Table 4 Prevalence of hypertension and obesity among subjects

1) N (%)

Not significantly different in distribution between male and female by χ²-test

Table 5 The time spent on each activity by the physical activity categories

1) Mean ± SD (min, %)

Significant different between male and female at ^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by t-test

Table 6 Comparison of spending time (min,%) of subjects by 4 activity levels

1) Classification of 18 activities levels to 4 activity levels

2) Mean ± SD

3) min (%)

Not Significant different between male and female by t-test

Not Significant different among age group by Duncan's multiple comparison test

Table 7 Comparison of physical activity level(PAL) by gender and age groups

1) Mean ± SD

Not Significant different between male and female by t-test

Not Significant different among age group by Duncan's multiple comparison test

Not significantly different in distribution between male and female by χ²-test

Table 8 Estimated energy requirements(EER) and energy intakes by age group and gender

1) Unit : Kcal/day

2) Mean ± SD

Significant different between male and female at ^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by t-test

abc: Means with same superscripts are not significantly different at p<0.05 by Duncan's multiple comparison test

Significant different between daily energy intake and estimated energy requirements at ^†: p < 0.05, ^††: p < 0.01, ^†††: p < 0.001 by paired t-test