Browse > Article
http://dx.doi.org/10.7318/KJFC.2007.22.1.127

The Effect of Follow-up Nutrition Intervention Programs Applied Aged Group of High Risk Undernutrition in Rural Area( I )  

Park, Phil-Sook (Department of Food and Nutrition, Sangju National University)
Chun, Byung-Yeol (Department of Preventive Medicine, School of Medicine, Kyungpook National University)
Jeong, Gu-Beom (Department of Computer Engineering, Sangju National University)
Huh, Churl-Hyoi (Department of Multimedia Information, SoungDuk College)
Joo, Soon-Jae (Rural Environment & Amenity, Rural Resource Development Institute)
Park, Mi-Yeon (Department of Food Science, Gyeongsang National University)
Publication Information
Journal of the Korean Society of Food Culture / v.22, no.1, 2007 , pp. 127-139 More about this Journal
Abstract
This research was peformed to investigate the anthropometric data, blood profiles, and nutrient intakes of elderly persons living in a rural area. The subjects were 67 undernourished people who participated in follow-up nutrition intervention programs for9 weeks. Anthropometric data showed that the mean heights and weights in the management group were 157.6 cm and 59.1 kg, respectively, for the males and 152.6 cm and 51.0 kg, respectively, for the females. The mean BMIs of the management group were 23.8 kg/m$^2$ in the males and 22.4 kg/m$^2$ in the females. The total cholesterol, HDL-cholesterol, and albumin levels of the subjects were 181.7-191.4mg/dL, 48.3-53.0mg/dL, and 3.85-4.00g/dL, respectively. Energy, ash, P, Na, vitamin B$_1$, vitamin B$_2$, vitamin B$_6$, and niacin increased significantly after intervention for the management group. The mINQ, however, did not significantly increase after intervention. Also after intervention, there was no significant difference in mINQ between the management group and the comparison group. MAR (14) in the management group was significantly increased from 0.62${\pm}$0.2 before intervention to 0.68${\pm}$0.2 after intervention (p=0.022), and it was significantly different between the management group and the comparison group (p=0.017). MAR (8) in the management group was not significantly different (p=0.915) before and after intervention. However, MAR (8) between the management group and the comparison group did show a significant difference (p=0.031). MAR (3) in the management group was significantly increased from 0.48${\pm}$0.2 before intervention to 0.55${\pm}$0.2 after intervention (p=0.045), however, MAR (3) was not significantly different between the management group and the comparison group (p=0.093). For the probability of nutrient insufficiency, in the management group the probability of nutrient values below the EAR (except for Fe) decreased after intervention compared to before intervention. On the other hand, the probabilities of values above the RI, or EAR${\sim}$RI, were increased
Keywords
nutrition intervention program; nutrient; aged group;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Dattilo MA, Kris-Etherton PM. 1992. Effects of weight reduction on blood lipids and lipoprotein : A meta analysis Am J. Clin Nutr., 56: 320-328   DOI
2 Fridewald WT, Levy RI, Fredrickson DS. 1972. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultra centrifuge. Clin Chem., 18: 499-502
3 Lee JW, Lee MS, Kim JH, Soon SM, Lee BS. 2006. Nutritional assessment. Kyomoonsa, Seoul, pp 76-84
4 Murphy SP, Davis MA, Neuhaus JM, Lein D. 1990. Factors influencing the dietary adequacy and energy intake of older Americans. J. Nutr Educ., 22: 284-291   DOI
5 Ni Mhurchr CN, Margetts BM, Speller VM. 1997. Applying the stages-of-change model to dietary change, Nutrition Reviews, 55: 10-16   DOI   ScienceOn
6 Kim YS. 2003. Lifestyle and chronic disease-A cohort study on the risk factors for hypertension and NIDDM in Korean. J. Community Nutrition, 8(6): 1010-1020
7 Report on 2001 national health and nutrition survey. 2002. Korea Health Industry Development Institute In Ministry of Health and Wealth
8 Korea National statistical office. 2006. Korean statistical information system
9 Park PS, Jeong GM, Kim JH, Paik JH, Park MY. 2003. Risk factors of a complex disease for the diabetes mellitus group and the hypertension group in the Geoje community. Korean J. Food Culture, 18(2): 123-133
10 Gibson RS. 1990. Principles of nutritional assessment. Oxford University Press, New York
11 Randall E, Nichaman MZ, Contant CF Jr. 1985. Diet diversity and nutrient intake. J. Am Diet Assoc., 85: 830-836
12 The Korean Nutrition Society. 2005. Dietary reference intakes for Koreans. Seoul
13 Park MY, Kwon JH, Lee DJ, Cho EK, Park PS. 2004. A study on the dietary attitudes and nutritional status of lifestyle disease patients living on Tongyoung city. Korean J. Health Promotion and Disease Prevention, 4(3): 137-147
14 Procheska JO, Diclemante CC. 1983. Stage of processes of self change of smoking : Toward an integrative model. J. of Consulting and Clinical Psychology, 56: 520-528
15 Hansen RG. 1973. An index of food quality. Nutr Rev., 31: 1-7   DOI   ScienceOn
16 Prochaska, JO, Redding, CA &Evers, KE. 1997. The Transtheoretical Model and stages of change, In K, Glanz, RM, Lewis, & B K, Timer(Eds,), Health behavior and health education: Theory, research, and practice, San Francisco, CA: Jossey-Bass, pp 60-84
17 Park MY, Kim GR, Lee DJ, Kim JM, Park PS. 2006. A survey of food and nutrient intakes of the aged people in rural area, Gyeongbuk yecheon. Korean J. Nutrition, 39(1): 58-73   과학기술학회마을
18 Curry SJ, Kristal AR, Browen D. 1992. An application of the stage model of behavior change to dietary fat reduction, Health Education Research, 7: 97-105   DOI   ScienceOn