Comparison and Analysis of Dieting Practices Using Big Data from 2010 and 2015
Article information
Korean J Community Nutr. 2018;23(2):128-136
Publication date (electronic) : 2018 April 30
doi :
https://doi.org/10.5720/kjcn.2018.23.2.128
Received 2018 March 09; Revised 2018 April 11; Accepted 2018 April 11.
Abstract
Objectives
The purpose of this study was to compare and analyse dieting practices and tendencies in 2010 and 2015 using big data.
Methods
Keywords related to diet were collected from the portal site Naver from January 1, 2010 until December 31, 2010 for 2010 data and from January 1, 2015 until December 31, 2015 for 2015 data. Collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis, and seasonality analysis.
Results
The results show that exercise had the highest frequency in simple frequency analysis in both years. However, weight reduction in 2010 and diet menu in 2015 appeared most frequently in N-gram analysis. In addition, keyword network analysis was categorized into three groups in 2010 (diet group, exercise group, and commercial weight control group) and four groups in 2015 (diet group, exercise group, commercial program for weight control group, and commercial food for weight control group). Analysis of seasonality showed that subjects' interests in diets increased steadily from February to July, although subjects were most interested in diets in July in both years.
Conclusions
In this study, the number of data in 2015 steadily increased compared with 2010, and diet grouping could be further subdivided. In addition, it can be confirmed that a similar pattern appeared over a one-year cycle in 2010 and 2015. Therefore, dietary method is reflected in society, and it changes according to trends.
References
1. Choi NE. 33 secrets of food you did not know Seoul: Kyunghyang Media; 2012. p. 349–352.
2. Kim EK, Park TS, Park YS, Jang MR, Lee KW. The content analysis of food and nutrition articles in the Korean newspapers: from January 1960 to June 1996. II. nutrition in life cycle, health and disease. Korean J Dietary Culture 1996. 11(4)p. 527–538.
3. Ryu HK. A survey of adolescents' concern and perception about body image: at Miryang city. Korean J Community Nutr 1997;2(2):197–205.
4. The Maeil Shinmun. The changing times of diet [internet] Maeil Shinmun; cited 2018 Jan 8. Available from: http://www.imaeil.com/sub_news/sub_news_view.php?news_id=55059&yy=2006.
5. Lee KS. A study of diet package for the Xers to create proper way of diet: suggesting research and development of pulmuone diet package. Res Bull Package Des 1998;5:91–111.
6. Korean society. Atkin's diet fact and fiction. Korean J Obes 1998;7(2):101–102.
7. Shin JH, Lee HJ, Choi WY. Review on the wellbeing discourse in the Korean society: focused on the critical interpretation of new cultural trend of leisure. J Leis Stud 2006;4(1):39–53.
8. Kim SS. Popular diet-fact and fiction. Korean J Obes 2002;11(1):11–18.
9. Yim KS. Commercial obesity management program. Korean J Community Nutr 2003;8(3):424–432.
10. Lee JS. 43 Diet secrets that your doctor does not tell you Gyeonggi: MOABOOKS; 2009. p. 34.
11. Nam SW, Koh EH. Mundane heroes in reality show: obesity discourses of diet king and its cultural significance. Korean J Sociol Sport 2011;24(2):69–97.
12. Lim IS, Kim MJ. Reproduction of obesity stigma in Korean TV diet survival programs: focused on ‘BIGsTORY' and ‘Diet War'. J Korean Womens Stud 2012;28(4):1–38.
13. Na EK. “”Eating broadcasts” and “Cooking broadcasts” exploratory study on food media trends: socio-cultural backgrounds and new media use factors. Kookmin Soc Sci Rev 2015;28(1):183–215.
14. Chung CH. Center of bigdata, infinite expansion of internet portals [internet] Han Kyung; 2017. cited 2018 Apr 3. Available from: http://magazine.hankyung.com/business/apps/news?popup=0&nid=01&c1=1003&nkey=2017082101134000211&mode=sub_viewhttp://magazine.hankyung.com/business/apps/news?popup=0&nid=01&c1=1003&nkey=2017082101134000211&mode=sub_view.
15. Lee OJ, Park SB, Chung DU, You ES. Movie box-office analysis using social big data. J Contents Assoc 2014;14(10):1–12.
16. Hwang MG, Chop DJ, Lee HG, Choi C, Ko BK, Kim PK. Domain n-gram construction and its application. J Korean Inst Inform Sci Eng 2010;37(2):47–51.
17. Diesner J, Carley KM. Causal mapping for research information technology London: IDEA GROUP PUBLISHING; 2005. p. 81–83.
18. Ahn HJ. Extraction of keywords from brand images texts using network analysis. J Korean Inst Inform Technol 2012;10(2):176–182.
19. Moon JY. A study of the intellectual structure of secretarial studies using network analysis. J Secretarial Stud 2013;22(1):125–145.
20. Ahn MS, Oh IK. Analysis of attitudes on using five-star hotel packages applying network text analysis method. Korea Acad Soc Tourism Manag 2015;30(5):163–181.
21. Wasserman S, Faust K. Social network analysis: methods and applications Cambridge: Cambridge university press; 1994. p. 370–374.
22. Yoo OS. The corporate survival of future depends on basic science investment [internet] WOWTV; 2016. cited 2018 Jan 8. Available from: http://www.wowtv.co.kr/newscenter/news/view.asp?bcode=T30001000&artid=A201606010251.
23. Kwak HP, Koo KJ. Relationship of leisure dance participation, physical image and self-esteem among women. J Korea Contents Assoc 2010;10(8):407–416.
24. Kim MS. Eating behavior of university students by economic environment. Korean J Food Cookery Sci 2005;21(2):125–138.
25. Kim MJ. A survey of dining-out behaviors and menu preferences of university students in the Seoul area. Korean J Food Cookery Sci 2008;24(4):525–535.
26. Hwang GJ, Kim GI. Study on dancers' physical perception of self according to dietary habits. J Korean Soc Dance Sci 2010;20:1–14.
27. Yoon JW. Cultural criticism: “Pretty Boys” and the “Six-Pack”: masculinity in popular culture today. Eng Stud Korea 2010;28:278–302.
28. Kim S. Rethinking television food program and national food culture in South Korea since the 1980s. Stud broadcasting cult 2015;27(2):85–122.
29. Sung MS, Jung HY, Choi JH, Lee SC, Choi BH, Park SS. Preparation of functional healthy drinks by acanthopanax senticosus extracts. J Life Sci 2014;24(9):959–966.
30. Jeong YG, Lee IS. Importance-performance and willingness to purchase analyses of home replacement using eco-friendly food ingredients in undergraduates according to gender. J Korean Soc Food Sci Nutr 2015;44(12):1873–1880.
31. Kim HJ, Lee HG. Body project of women and the discourse of sports. Korean J Sport Sci 2009;20(4):844–853.
32. Kim MK, Lee GC. Weight reduction dieting survey and satisfaction degree and diet related knowledge among adult women by age. J Korean Soc Food Sci Nutr 2006;35(5):572–582.
33. Hong MK. Kimsohyeong diet, cumulative sales exceeded 100 billion [internet] Joynews24; 2010. cited 2018 Jan 8. Available from: http://news.inews24.com/php/news_view.php?g_menu=704110&g_serial=499963.
34. Lee DI. When you have high blood pressure and depression, you should not neglect your obesity [internet] Maekyung Media Group; 2016. cited 2018 Jan 8. Available from: http://news.mk.co.kr/newsRead.php?no=427371&year=2016.
35. Pack HJ. Various diet methods currently in vogue among the individual. Korean J Obes 2004;8:470–471.
36. Sul MS, Park DY. A prediction of demand for female sport participants by using seasonal ARIMA model. J Korean Phys Educ Assoc Girls Woman 2011;25(3):179–192.
37. Lee OR. High calorie chuseok food becomes extra fat?...chuseok diet method [internet] MHN; 2016. cited 2018 Jan 8. Available from: http://www.munhwanews.com/news/articleView.html?idxno=23560.
38. Kim SY. Relationship between eating style and food intake of healthy female college students during chuseok holidays. Korean J Community Nutr 2016;21(2):131–139.
39. Kim SH. Increase purchase of snacks at the end of the year... the opposite of diet products [internet] Medical Today; 2015. cited 2018 Jan 8. Available from: http://www.mdtoday.co.kr/mdtoday/index.html?no=26231.
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