Yonsei Med J.  2014 Jan;55(1):254-263. 10.3349/ymj.2014.55.1.254.

Psychological and Social Factors Affecting Internet Searches on Suicide in Korea: A Big Data Analysis of Google Search Trends

Affiliations
  • 1Research Center on Psychosocial Health, Korea Institute for Health and Social Affairs, Seoul, Korea.
  • 2International Center for Criminal Justice, Korean Institute of Criminology, Seoul, Korea.
  • 3u-Healthcare Design & Healthcare Service Design Development Program, Design Institute, Inje University, Seoul, Korea. ajy0130@inje.ac.kr
  • 4College of Nursing & Health Sciences, University of Massachusetts-Boston, Boston, MA, USA.
  • 5Department of Psychiatry, Seoul Paik Hospital, Inje University, Seoul, Korea.

Abstract

PURPOSE
The average mortality rate for death by suicide among OECD countries is 12.8 per 100000, and 33.5 for Korea. The present study analyzed big data extracted from Google to identify factors related to searches on suicide in Korea.
MATERIALS AND METHODS
Google search trends for the search words of suicide, stress, exercise, and drinking were obtained for 2004-2010. Analyzing data by month, the relationship between the actual number of suicides and search words per year was examined using multi-level models.
RESULTS
Both suicide rates and Google searches on suicide in Korea increased since 2007. An unconditional slope model indicated stress and suicide-related searches were positively related. A conditional model showed that factors associated with suicide by year directly affected suicide-related searches. The interaction between stress-related searches and the actual number of suicides was significant.
CONCLUSION
A positive relationship between stress- and suicide-related searches further confirmed that stress affects suicide. Taken together and viewed in context of the big data analysis, our results point to the need for a tailored prevention program. Real-time big data can be of use in indicating increases in suicidality when search words such as stress and suicide generate greater numbers of hits on portals and social network sites.

Keyword

Internet; suicide; prevention and control; psychological stress; statistical models

MeSH Terms

Humans
*Internet
Republic of Korea
Socioeconomic Factors
Suicide/*psychology/*statistics & numerical data

Figure

  • Fig. 1 Research model.

  • Fig. 2 Suicide-related search results from Google Trends (http://www.google.co.kr/trends/) in Korea. The axis of X refers to month by year. The axis of Y refers to suicide search volume. *Peak refers to the point of suicide incident when a famous politician committed suicide.

  • Fig. 3 Suicide rate and suicide-related search volume in Korea.


Cited by  1 articles

Development and Evaluation of an Obesity Ontology for Social Big Data Analysis
Ae Ran Kim, Hyeoun-Ae Park, Tae-Min Song
Healthc Inform Res. 2017;23(3):159-168.    doi: 10.4258/hir.2017.23.3.159.


Reference

1. OECD Health Data 2012. accessed on 2013 April 7. Available at: http://www.oecd-ilibrary.org/social-issues-migration-health/suicides_20758480-table10.
2. Chang YS. Actual conditions of suicide and policy challenges in Korea 2012. Issue Focus. 2012; 165:46.
3. Ministry of Health and Welfare. Epidemiological Investigation of Psychiatric Disorder Reality. 2011.
4. Stress Republic of Korea. The Korea Economic Daily;accessed on 2013 January 11. Available at: http://www.hankyung.com/news/app/newsview.php?aid=2007050274801&intype=1.
5. Bae SB, Woo JM. Suicide prevention strategies from medical perspective. J Korean Med Assoc. 2011; 54:386–391.
Article
6. Harwood D, Jacoby R. Suicidal Behaviour Among the Elderly. In : Hawton K, van Heeringen K, editors. The International Handbook of Suicide and Attempted Suicide. West Sussex, UK: John Wiley & Sons, Ltd;2008. p. 275–291.
7. United Nations. Prevention of Suicide: Guidelines for the Formulation and Implementation of National Strategies. United Nations;1996.
8. Alloy LB, Hartlage S, Abramson LY. Testing the cognitive diathesis-stress theories of depression: Issues of research design, conceptualization, and assessment. In : Alloy LB, editor. Cognitive Processes in Depression. New York, NY: The Guilford Press;1988. p. 31–73.
9. Izadinia N, Amiri M, Jahromi RG, Hamidi S. A study of relationship between suicidal ideas, depression, anxiety, resiliency, daily stresses and mental health among Teheran university students. Procedia Soc Behav Sci. 2010; 5:1515–1519.
10. Park JY, Lim YO, Yoon HS. Suicidal impulse caused by stress in Korea: focusing on mediational effects of existent spirituality, family support, and depression. Korean J Soc Welf Stud. 2010; 41:81–105.
11. Jeong DH, Jeong MH. Path Analysis in a study on youth' stress, delinquency and suicide ideals. Korean J Fam Welf. 2011; 16:171–187.
12. Lazarus RS, Folkman S. Stress, Appraisal and Coping. New York: Springer Publishing Company;1984.
13. Park BK. An Analysis of the developmental path of Adolescent' depression and suicidal ideation. Ment Health Soc Work. 2009; 31:207–235.
14. Wilburn VR, Smith DE. Stress, self-esteem, and suicidal ideation in late adolescents. Adolescence. 2005; 40:33–45.
15. Woo CY, Park AC, Jeong HH. The structural relationship among human relations, stress, depression and suicidal ideation of adolescents by genders and level of school. Korean J Educ Psychol. 2010; 24:19–38.
16. Yoon MS, Lee HS. The relationship between depression, job preparing stress and suicidal ideation among college students: moderating effect of problem drinking. Korean J Youth Stud. 2012; 19:109–137.
17. Dixon WA, Heppner PP, Anderson WP. Problem-solving appraisal, stress, hopelessness, and suicide ideation in a college population. J Couns Psychol. 1991; 38:51–56.
Article
18. Chung S. Influence of early onset of drinking and problem drinking on suicide ideation and attempt among Korean adolescents: Analysis of 2009 Korean Youth Risk Behavior Survey. J Korean Alcohol Sci. 2011; 12:15–27.
19. Tapert SF, Colby SM, Barnett NP, Spirito A, Rohsenow DJ, Myers MG, et al. Depressed mood, gender, and problem drinking in youth. J Child Adolesc Subst Abuse. 2003; 12:55–68.
Article
20. Yoon MS. Suicidal ideation among alcoholics moderating effect of alcohol use. Ment Health Soc Work. 2011; 38:113–140.
21. Kim IS. Third-person effect of celebrity suicide news: exploring the relationships among attitude toward celebrity suicide news, media use, the third-person effect and media regulation. J Commun Sci. 2009; 9:5–36.
22. Kim BS, Yun DH. Prevention of suicide infection on part of advance guard in media. Newsp Broadcast. 2011; 7:22–26.
23. Song YJ. The comparative study of change in characteristics of suicidal attempts before and after the celebrity suicide. 2011. Unpublished master's thesis, Graduate School of Yonsei University, Seoul, Korea.
24. Stack S. Suicide in the media: a quantitative review of studies based on non-fictional stories. Suicide Life Threat Behav. 2005; 35:121–133.
Article
25. Tousignant M, Mishara BL, Caillaud A, Fortin V, St-Laurent D. The impact of media coverage of the suicide of a well-known Quebec reporter: the case of Gaëtan Girouard. Soc Sci Med. 2005; 60:1919–1926.
Article
26. Korea National Statistical Office. 2005 Cause-of-Death Statistics Results. 2006.
27. Stack S. Divorce and suicide: a time series analysis, 1933-1970. J Fam Issues. 1981; 2:77–90.
28. Kowalski GS, Faupel CE, Starr PD. Urbanism and suicide: a study of American counties. Soc Forces. 1987; 66:85–101.
Article
29. Stack S. Suicide: a 15-year review of the sociological literature. Part II: modernization and social integration perspectives. Suicide Life Threat Behav. 2000; 30:163–176.
30. Koh SJ, Jeong YH. Health risk prediction using big health data. Health Welf Policy Forum. 2012; 193:43–52.
31. Song TM. Multivariate analysis on factors affecting suicide utilizing big data: Applying Google search trend. Issue Focus. 2012; 186:1–8.
32. McKinsey Global Institute. Big data: The Next Frontier for Innovation, Competition, and Productivity. 2011.
33. National Information Society Agency. Evolved into the Big Data World (Case Study of Global for Big Data). 2012.
34. Policy Exchange. The Big Data Opportunity: Making Government Faster, Smarter and More Personal. 2012.
35. Raudenbush SW, Bryk AS. Hirearchical Linear Models: Application and Data Analysis Methods. 2nd ed. Thousand Oaks, CA: Sage;2002.
36. Kline RB. Principles and Practice of Structural Equation Modeling. 3rd ed. New York, NY: Guilford Press;2010.
37. Heck R, Thomas S. An Introduction to Multi-level Modeling Techniques. 2nd ed. New York, NY: Routledge;2009.
38. Three issues of Korea. The Dong-A Daily;accessed on 2013 January 11. Available at: http://news.donga.com/3/all/20121029/50456912/1.
39. National Information Society Agency. Implications for Suicide Prevention Policy of Youth described in the Social Analysis. 2012.
Full Text Links
  • YMJ
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr