Statistical Data Analysis on the Trends of Time Series Activities: Potential Correlation between Computer-based Activity and Health Lifestyle Activity
Abstract
Background: We aimed to investigate the trends of interested and extra time spending activities in order to find potential correlation between computer-based activities (CBA) and healthy lifestyle (HLA).
Methods: Information was adapted from the South Korea governmental open source database which gathered from official measurement statistical results. Various types of the interested and extra time spending activities were categorized into eight main activities based on the library research and expert comments. Moreover, two main categories of sports and outdoor activity (S&OA) were found to be attributed to HLA. Descriptive and analytical statistics analyses, besides correlation analysis were conducted; through Kolmogorov-Smirnov test for normalizing data and Fisher's exact test for making the comparison.
Results: Among demographic variables, watching and listening as well as social activities, were the most interesting activities for almost all citizens, furthermore computer games and social network system (CG&SNS) were found to have a negative association with HLA.
Conclusion: Newly emerged computer-based activities, such as game behavior, would be among the main determinates of the HLA. The associated implications are provided to assist the authorities and governments in making the policy and planning.
Baller S, Dutta S, Lanvin B (2016). The glob-al information technology report 2016. In Proceedings of World Economic Forum, Geneva, pp.:1-307.
World Health Organization (WHO). Healthy living: what is a healthy lifestyle? Available from: http://apps.who.int/iris/handle/10665/108180
Dertouzos ML, Dertrouzos ML, Foreword By-Gates B (1998). What will be: How the new world of information will change our lives. Harper Collins Publishers.
Chung S (2011). Innovation, competitive-ness, and growth: Korean experiences. ABCDE, 17:333.
South Korea’s economy, what do you do when you reach the top? (Nov 12th 2011). http://www.economist.com/node/21538104
The World Bank in Republic of Korea, (Apr 19, 2018). http://www.worldbank.org/en/country/korea/overview
Vuillemin A, Boini S, Bertrais S, Tessier S, Oppert JM, Hercberg S, Guillemin F, Bri-ançon S (2005). Leisure time physical ac-tivity and health-related quality of life. Prev Med, 31;41(2):562-9.
Cho MH (2004). The strength of motivation and physical activity level during leisure time among youth in South Korea. Youth and Society, 35(4):480-94.
Han K, Choi-Kwon S, Lee SK (2011). Lei-sure time physical activity in patients with epilepsy in Seoul, South Korea. Epilepsy & Behavior, 28; 20(2):321-5.
Korea open data portal, Available from: https://www.data.go.kr/e_main.jsp#/L21haW4=
Kelly, John (1996). Leisure. 3rd edition. Bos-ton and London: Allyn and Bacon. pp. 17–27. ISBN 0-13-110561-2.
Neulinger, John (1981). To Leisure: An Intro-duction. Ann Arbor, MI: Allyn and Bacon. pp.: 10–26. ISBN 0-20-506936-3.
Social Report (2016). Ministry of Social De-velopment PO Box 1556 Wellington 6140 New Zealand, Available from: http://socialreport.msd.govt.nz/documents/2016/msd-the-social-report-2016.pdf
Laurent Turcot (2016). "The origins of lei-sure", International Innovation, Available from : https://www.researchgate.net/publication/301637936_The_Origins_of_Leisure
Lilliefors HW (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the Amer-ican Statistical Association, 1; 62(318):399-402.
Wilcox, R. (1998). Kolmogorov-Smirnov Test. In P. Armitage & T. Colton (Eds.), Encyclopedia of Biostatistics, vol. 2. doi:10.1002/0470011815.b2a15064.
Justel, A.; Peña, D.; Zamar, R. (1997). "A multivariate Kolmogorov–Smirnov test of goodness of fit". Statistics and Probability Letters, 35 (3): 251–259. Doi:10.1016/S0167-7152(97)00020-5.
Filion GJ (2015). The signed Kolmogorov-Smirnov test: why it should not be used. Gigascience, 27;4(1):9.
Fisher, R. A. (1922). "On the interpretation of χ2 from contingency tables, and the calculation of P". Journal of the Royal Statisti-cal Society. 85 (1): 87–94. doi:10.2307/2340521. JSTOR 2340521.
Fisher RA (1954). Statistical Methods for Research Workers. Oliver and Boyd. ISBN 0-05-002170-2.
Agresti A (1992). A Survey of Exact Infer-ence for Contingency Tables. Statistical Science. 7 (1): 131–153.
Marshall SJ, Biddle SJ, Gorely T, Cameron N, Murdey I (2004). Relationships be-tween media use, body fatness and phys-ical activity in children and youth: a meta-analysis. Int J Obes Relat Metab Disord, 1; 28(10):1238-46.
Melnyk BM, Hrabe DP, Szalacha LA (2003). Relationships among work stress, job satisfaction, mental health, and healthy lifestyle behaviors in new graduate nurses attending the nurse athlete program: a call to action for nursing leaders. Nurs Adm Q, 1;37(4):278-85.
Korean Culture & Tourism Institution. A leisure white paper. (Cited 2009 January 8). http://www.tour.go.kr/knowledge/kn_file_lst2.asp?strGubun=I08&ctgry=02&dvsn=0205&sctn=020514
Roth DL, Goode KT, Williams VL, Faught E (1994). Physical exercise, stressful life experience, and depression in adults with epilepsy. Epilepsia, 35:1248–55.
Steinhoff BJ, Neusüss K, Thegeder H, Reimers CD (1996). Leisure time activity and physical fitness in patients with epi-lepsy. Epilepsia, 37:1221–7.
Files | ||
Issue | Vol 47 No 9 (2018) | |
Section | Original Article(s) | |
Keywords | ||
Computer-based activities Healthy lifestyle Time series activities Leisure time activity Korea |
Rights and permissions | |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |