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Kim, Shin, Hong, Kim, and Chang: Weight Control Program through the Fortification of Food Consumption Monitoring on Obese Female College Students - Using Smart-Phone with Real Time Communication Application -
Original Article
Korean Journal of Community Nutrition

Korean Journal of Community Nutrition 2011; 16(6): 697-705.

Published online: 31 December 2011

DOI: https://doi.org/10.5720/kjcn.2011.16.6.697

Weight Control Program through the Fortification of Food Consumption Monitoring on Obese Female College Students - Using Smart-Phone with Real Time Communication Application -

Young-Suk Kim, Jae-Kyung Shin1, In-Sun Hong2, Seon-Hee Kim2, Un-Jae Chang

Department of Food & Nutrition, DongDuk Women's University, Seoul, Korea.

1Department of Obesity Management, DongDuk Women's University, Seoul, Korea.

2Department of Food and Beauty Coordination, SuWon Science College, Suwon, Korea.

Corresponding author: Un-Jae Chang, Department of Food and Nutrition, Dongduk Women's University, 23-1 Wolgok-dong, Sungbuk-ku, Seoul 136-714, Korea. Tel: (02) 940-4464, Fax: (02) 940-4609, uj@dongduk.ac.kr

Received 22 September 2011       Revised 25 November 2011       Accepted 1 December 2011

Copyright © 2011 The Korean Society of Community Nutrition

Abstract

This study was conducted to investigate the effects of real time communication digital photography method using Kakao Talk application in smart-phone for the fortification of food consumption monitoring and weight reduction. Thirty-four female college students were randomly assigned to the camera-phone (CP) group or smart-phone (SP) group. Each group participated in the weight control program for 8 weeks. The mean energy intake of CP group during program was 1353.5 kcal and the SP group consumed 1289.2 kcal. The total energy intake of both groups was significantly decreased during the program. The CP group lost 1.9 kg of body weight and 1.9% of body fat and the SP group lost 4.3 kg of body weight and 3.0% of body fat. The body weight was significantly decreased in the SP group compared to the CP group. The triglyceride and total cholesterol, and LDL-cholesterol level of SP group were significantly decreased during the program. However, there were no significant changes in CP group during the program. Also there were no significant changes in lipid profile between two groups. In this study, it is considered that real time communication digital photography method using Kakao Talk application in smart-phone might influence weight control through a trained consumption monitoring. Therefore, smart-phone can lead individuals to rely more heavily on easy-to-monitor visual cues.

Keywords: smart-phone, digital photography method, body weight, consumption monitoring

Figures and Tables

Table 1
General characteristics of subjects
kjcn-16-697-i001

1) CP: camera-phone

2) SP: smart-phone

3) BMI: body mass index, body weight (kg) / [heigh (m)]2

4) WHR: waist to hip ratio

5) Mean ± SEM

Table 2
Comparison of the actual amount and the perceived amount of cherry tomatoes between CP group and SP group
kjcn-16-697-i002

1) CP: camera-phone

2) SP: smart-phone

3) AC: actual amount

4) PC: perceived amount

5) Δchange: asterisk is significant difference between pre and post program of each group by paired t-test (*: p < 0.05 **: p < 0.01)

6) p-value: asterisk is significant difference between CP and SP group by independent t-test

7) Mean ± SEM

Table 3
Changes of daily nutrient intakes during 8 weeks weight control program between CP group and SP group
kjcn-16-697-i003

1) CP: camera-phone

2) SP: smart-phone

3) Δchange: asterisk is significant difference between before and during the program of each group by paired t-test (*: p < 0.05, **: p < 0.01, ***: p < 0.001)

4) p-value: asterisk is significant difference between CP and SP group by independent t-test

5) Mean ± SEM

Table 4
Changes of body composition during 8 weeks weight control program between CP group and SP group
kjcn-16-697-i004

1) CP: camera-phone

2) SP: smart-phone

3) BMI: body mass index. body weight (kg) / [height (m)]2

4) Δchange: asterisk is significant difference between Pre and post program of each group by paired t-test (*: p < 0.05, **: p < 0.01, ***: p < 0.001)

5) p-value: asterisk is significant difference between CP and SP group by independent t-test

6) Mean ± SEM

Table 5
Changes of blood pressure and serum lipids during 8 weeks weight control program between CP group and SP group
kjcn-16-697-i005

1) CP: camera-phone

2) SP: smart-phone

3) Δchange: asterisk is significant difference between pre and post program of each group by paired t-test (*: p < 0.05)

4) p-value: asterisk is significant difference between CP and SP group by independent t-test

5) Mean ± SEM

Notes

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by Ministry of Education, Science & Technology (2010-0022269)

References

1. Chang UJ, Jung EY, Suh HJ, Kim JM, Hong IS. The effect of the consumption monitoring inaccuracy by vision on kimbab intake and satiety rate. Korean J Community Nutr. 2008. 13(2):237–243.
2. Chang UJ, Ko SA. A study on the dietary intake survey method using a cameraphone. Korean J Community Nutr. 2007. 12(2):198–205.
3. Collins JE. Effects of restraint, monitoring, and stimulussalience on eating behavior. Addict Behav. 1978. 3(3-4):197–204.
4. Djuric Z, Lababidi S, Heilbrun LK, Dpper JB, Poore KM, Uhley VE. Effect of low-fat and/or low-energy diets on anthropometric measures in participants of the women's diet study. J Am Coll Nutr. 2002. 21(1):38–46.
5. Garner DM, Garfinkel PE. The eating attitudes test: an index of the symptoms of anorexia nervosa. Psychol Med. 1979. 9(2):273–279.
6. Gartner Newsroom Press Releases. Gartner Says Worldwide Mobile Phone Sales Grew 35 Percent in Third Quarter Smartphone Sales Increased 96 Percent. 2010. Egham: Gartner.
7. Han JS, Kim JK, Jeon YS. A web-based internet program for nutritional assessment and diet prescription by renal diseases. J Korean Soc Food Sci Nutr. 2002. 31(5):847–855.
8. Jung EY, Hong YH, Kim YS, Kim YJ, Chang UJ. Short term weight control program of obese female college students through food consumption monitoring using mobile phone equipped with camera. J Korean Diet Assoc. 2010. 16(4):369–377.
9. Kang JS, Kim HS. A study on the evaluation of a nutritional education program for the middle aged obese women. Korean J Food Nutr. 2004. 17(4):356–367.
10. Kim JM, Park TJ, Yang MS, Kwon KK, Lim DS. The current status of S/W platform for advanced embedded systems. Electron Telecommun Trends. 2006. 21(1):57–67.
11. Kim YJ, Yoon EY. Development and evaluation of nutrition education program through internet. Korean J Community Nutr. 1999. (4):546–553.
12. Lee ES, Son TY. Effect of sports dance activity on obesity and insulin resistance-related markers in post menopausal women. Korean J Sports Med. 2008. 26(2):214–223.
13. Linne Y, Barkeling B, Rossner S, Rooth P. Vision and eating behavior. Obes Res. 2002. 10(2):92–95.
14. Ministry of Health, Welfare and Family Affairs. Korea Center for Disease Control and Prevention. 2007 national health statistics- The 4th Korea National Health and Nutrition Examinations Surveys, the first year 2007. 2008. Seoul: Korea Center for Disease Control and Prevention.
15. Park HJ, Hong YH, Jung EY, Kim SH, Jun SC, Chang UJ. The effects of muesli meal replacements on weight control and serum components in obese middle aged women. J Korean Soc Cosmetol. 2010. 16(2):442–449.
16. Park JY. A study on the factors of emotional design for the design of internet mobile phone. J Korea Soc Vis Des Forum. 2009. 23:203–214.
17. Park SM, Han DS, Kim DW, Ly SY. The effects of low calorie meal and weight control preparation on the reduction of body weight and visceral fat in obese females. J Korean Soc Food Sci Nutr. 2004. 33(9):1492–1500.
18. Park SM, Park SJ, Choi SS. Development of nutritional counseling internet program for weight reduction using expert system. J Korean Soc Food Sci Nutr. 2001. 30(4):993–999.
19. Park YS, Lee KR, Chang YK. Effects of Weight Management Program On Obesity, the Blood Lipids and Leptin Levels in the Obese Premenopausal Women. J Korean Soc Study Obes. 2000. 9(2):128–135.
20. Polivy J, Herman CP. Causes of eating disorders. Annu Rev Psychol. 2002. 53:187–213.
21. Stroebele N, de castro JM. Effect of ambience on food intake and food choice. Nutrition. 2004. 20(9):821–838.
22. Varady KA, Lamarche B, Santosa S, Demonty I, Charest A, Jones PJ. Effect of weight loss resulting from a combined lon fat diet/exerise regimen on low-density lipoprotein particle size and distribution in obese women. Metabolism. 2006. 55(10):1302–1307.
23. Wang DH, Kogashiwa M, Ohta S, Kira S. Validity and reliability of a dietary assessment method: the application of a digital camera with a mobile phone card attachment. J Nutr Sci Vitaminol (Tokyo). 2002. 48(6):498–504.
24. Wansink B, Kim J. Bad popcorn in big buckets: portion size can influence intake as much as taste. J Nutr Educ Behav. 2005. 37:242–245.
25. Wansink B, Payne CR. Counting bones: environmental cues that decrease food intake. Percept Mot Skills. 2007. 104(1):273–276.
26. Yoon EY, Kim YJ. Development of nutrition education program via internet. J Living Sci. 1999. 5:81–89.
27. Zung WW. Prevalence of clinically significant anxiety in a family prac tice setting. Am J Psychiatry. 1986. 143(11):1471–1472.
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