Korean J Nutr.  2011 Jun;44(3):231-242. 10.4163/kjn.2011.44.3.231.

Effects of Nutrition Education Using a Ubiquitous Healthcare (u-Health) Service on Metabolic Syndrome in Male Workers

• Park SY
• Yang YJ
• Kim Y

• KMID: 2268512
• DOI: http://doi.org/10.4163/kjn.2011.44.3.231

Abstract

The objective of this study was to investigate the effects of nutrition education based on ubiquitous healthcare (u-health) service on changes in dietary habits, nutrition intake, and risk factors for metabolic syndrome in male workers. In total, 72 male office workers with at least three risk factors of the National Cholesterol Education Program-Adult Treatment Panel III were recruited as subjects. Anthropometric measurements and biochemical analyses were conducted on all subjects. Dietary habits and nutrient intake were determined by a questionnaire using the 24-hour dietary recall method before and after nutrition education. Subjects measured their body composition, blood pressure, and physical activity more than once per week during the 12 weeks using the u-health care equipment and sent these data to a central database system using a personal computer. Individual nutrition counseling was provided four times on the first, fourth, eight, and twelfth weeks. The results showed significant decreases in abdominal circumference, body fat (%), diastolic blood pressure, serum triglycerides, and serum total cholesterol during the 12 weeks. Subjects with more than 12 measurements showed significant reductions in abdominal circumference, body fat (%), serum triglyceride, and serum total cholesterol. Mean intake of dietary fiber, animal calcium, potassium, vitamin C, and folic acid after nutrition education were higher than those before nutrition education. Participants showed significant increases in the frequencies of consuming protein foods (meat, fish, eggs, beans, tofu, etc.) and vegetables. In conclusion, nutrition education through the u-health service resulted in positive effects on the risk factors for metabolic syndrome, nutrient intake, and dietary habits.

Keyword

ubiquitous healthcare; metabolic syndrome; nutrition education; male office workers

MeSH Terms

Adipose Tissue
Animals
Ascorbic Acid
Blood Pressure
Body Composition
Calcium
Cholesterol
Counseling
Delivery of Health Care
Dietary Fiber
Eggs
Fabaceae
Folic Acid
Food Habits
Humans
Male
Microcomputers
Motor Activity
Ovum
Potassium
Surveys and Questionnaires
Risk Factors
Soy Foods
Triglycerides
Vegetables
Ascorbic Acid
Calcium
Cholesterol
Folic Acid
Potassium
Triglycerides

Figure

• 

  Fig. 1 Process of nutrition education using u-Health Service. 1) Measurement of body composition, blood pressure, and physical activity 2) Nutrition counseling.

Reference

1. Statistics Korea. The cause of death statistics in 2008. 2009.

2. Ministry of Health and Welfare. Major chronic disease management program guide 2009. 2009.

3. Ministry of Health and Welfare. 2009 Korean national health and nutrition examination survey report. 2010.

4. Wilson PW, Kannel WB, Silbershatz H, D'Agostino RB. Clustering of metabolic factors and coronary heart disease. Arch Intern Med. 1999. 159(10):1104–1109.

5. Lim S, Lee EJ, Koo BK, Cho SI, Park KS, Jang HC, Kim SY, Lee HK. Increasing trends of metabolic syndrome in Korea based on Korean national health and nutrition examination surveys. J Korean Diabetes Assoc. 2005. 29(5):432–439.

6. Ministry of Health and Welfare. 2005 Korean national health and nutrition examination survey report. 2006.

7. Lee JY. Domestic u-Health demonstration project progress status and implications. Inf Commun Policy. 2008. 20(21):25–44.

8. Kim JH, Park JS, Jung EY, Park DK, Lee YH. A diet prescription system for U-healthcare personalized services. J Korea Contents Assoc. 2009. 10(10):111–119.

9. Philips. cited 2011 Apr 25. Available from: http://www.healthcare.philips.com/kr_ko/about/company/whatwedo.wpd.

10. MKE, 'u-Health' fostering industry... Speeding up medical power. Newsis. cited 2011 Apr 25. Available from: http://www.newsis.com/article/view.htm?cID=article&ar_id=NISX20100511_0005152731.

11. Kwak HS, Ryu S, Youn KI. Internet health information and health promotion behavior of employees. J Korean Soc Health Inf Health Stat. 2008. 33(1):105–118.

12. Kim JS, Han JS. Effects of a web-based nutrition counseling on food intake and serum lipids in hyperlipidemic patients. J Korean Soc Food Sci Nutr. 2004. 33(8):1302–1310.

13. No JH. Symposium for activating nutrition education program for health promotion of workers. J Korean Diet Assoc. 2004. 10(1):69–76.

14. Suh I, Shaten BJ, Cutler JA, Kuller LH. The Multiple Risk Factor Intervention Trial Research Group. Alcohol use and mortality from coronary heart disease: the role of high-density lipoprotein cholesterol. Ann Intern Med. 1992. 116(11):881–887.

15. Mjøs OD. Lipid effects of smoking. Am Heart J. 1988. 115(1 Pt 2):272–275.

16. Lee KS, Park CY, Meng KH, Bush A, Lee SH, Lee WC, Koo JW, Chung CK. The association of cigarette smoking and alcohol consumption with other cardiovascular risk factors in men from Seoul, Korea. Ann Epidemiol. 1998. 8(1):31–38.

17. Kim JH, Lee KM, Kim HY, Song CH, Jung SP. Effects of cigarette smoking on abdominal fatness. J Korean Acad Fam Med. 2000. 21(9):1172–1179.

18. Yun HK, Kim H, Chang N. Diet quality index-international score is correlated with weight loss in female college students on a weight management program. Korean J Nutr. 2009. 42(5):453–463.

19. Moore TJ, Alsabeeh N, Apovian CM, Murphy MC, Coffman GA, Cullum-Dugan D, Jenkins M, Cabral H. Weight, blood pressure, and dietary benefits after 12 months of a Web-based Nutrition Education Program (DASH for health): longitudinal observational study. J Med Internet Res. 2008. 10(4):e52.

20. Park JE, Kwon HC. Cardiovascular risk factors of Koreans. Korean J Lipidol. 1995. 5(1):97–102.

21. Muto T, Yamauchi K. Evaluation of a multicomponent workplace health promotion program conducted in Japan for improving employees' cardiovascular disease risk factors. Prev Med. 2001. 33(6):571–577.

22. Shimizu T, Horiguchi I, Kato T, Nagata S. Relationship between an interview-based health promotion program and cardiovascular risk factors at Japanese companies. J Occup Health. 2004. 46(3):205–212.

23. Lee MS, Kang HJ, Oh HS, Paek YM, Choue RW, Park YK, Choi TI. Effects of worksite nutrition counseling for health promotion; Twelve-weeks of nutrition counseling has positive effect on metabolic syndrome risk factors in male workers. Korean J Community Nutr. 2008. 13(1):46–61.

24. Kang JY, Cho SW, Lee JY, Sung SH, Park YK, Paek YM, Choi TI. The effects of a worksite on-line health education program on metabolic syndrome risk factors and nutrient intakes of male workers. Korean J Nutr. 2010. 43(1):57–68.

25. Plotnikoff RC, McCargar LJ, Wilson PM, Loucaides CA. Efficacy of an E-mail intervention for the promotion of physical activity and nutrition behavior in the workplace context. Am J Health Promot. 2005. 19(6):422–429.

26. Oh JY, Kim SB. Development and effects' analysis of nutrition education program for diabetes mellitus at community health center: focused on individual daily energy requirements and food exchange units. Korean J Community Nutr. 2010. 15(4):485–497.

27. Woo YJ, Lee HS, Kim WY. Individual diabetes nutrition education can help management for type II diabetes. Korean J Nutr. 2006. 39(7):641–648.

28. Kim EJ, Hwang HJ. Effects of a nutrition education and exercise program of overweight or obese female adults on nutritional and health status. J Korean Soc Food Sci Nutr. 2010. 39(1):78–84.

29. Hung HC, Joshipura KJ, Jiang R, Hu FB, Hunter D, Smith-Warner SA, Colditz GA, Rosner B, Spiegelman D, Willett WC. Fruit and vegetable intake and risk of major chronic disease. J Natl Cancer Inst. 2004. 96(21):1577–1584.

30. He K, Hu FB, Colditz GA, Manson JE, Willett WC, Liu S. Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women. Int J Obes Relat Metab Disord. 2004. 28(12):1569–1574.

31. Ford ES, Mokdad AH, Giles WH, Brown DW. The metabolic syndrome and antioxidant concentrations: findings from the Third National Health and Nutrition Examination Survey. Diabetes. 2003. 52(9):2346–2352.

32. McCarron DA, Morris CD, Henry HJ, Stanton JL. Blood pressure and nutrient intake in the United States. Science. 1984. 224(4656):1392–1398.

33. van Mierlo LA, Arends LR, Streppel MT, Zeegers MP, Kok FJ, Grobbee DE, Geleijnse JM. Blood pressure response to calcium supplementation: a meta-analysis of randomized controlled trials. J Hum Hypertens. 2006. 20(8):571–580.

34. Shim JE, Paik HY, Moon HK, Kim YO. Comparative analysis and evaluation of dietary intakes of Koreans by age groups: (1) nutrient intakes. Korean J Nutr. 2001. 34(5):554–567.

35. Shim JE, Paik HY, Moon HK, Kim YO. Comparative analysis and evaluation of dietary intakes of Koreans by age groups: (2) food and food group intakes. Korean J Nutr. 2001. 34(5):568–579.

36. Shim JE, Kim JH, Nam GY, Paik HY, Moon HK, Kim YO. Comparative analysis and evaluation of dietary intakes of Koreans by age groups: (3) risk factors for chronic degenerative diseases. Korean J Nutr. 2002. 35(1):78–89.

37. Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi F. Dairy consumption is inversely associated with the prevalence of the metabolic syndrome in Tehranian adults. Am J Clin Nutr. 2005. 82(3):523–530.

38. Lin YC, Lyle RM, McCabe LD, McCabe GP, Weaver CM, Teegarden D. Dairy calcium is related to changes in body composition during a two-year exercise intervention in young women. J Am Coll Nutr. 2000. 19(6):754–760.

39. Trichopoulou A, Gnardellis C, Benetou V, Lagiou P, Bamia C, Trichopoulos D. Lipid, protein and carbohydrate intake in relation to body mass index. Eur J Clin Nutr. 2002. 56(1):37–43.