Young adults’ exposure to alcohol- and marijuana-related content on twitter

Journal of Studies on Alcohol and Drugs

Volumn 77, Issue 2, 2016, Pages 349-353

  Cabrera Nguyen, E Peter ^a   Cavazos Rehg, Patricia ^a   Krauss, Melissa ^a   Bierut, Laura J ^a   Moreno, Megan A ^b  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; CANNABIS SMOKING; CROSS-SECTIONAL STUDY; DRINKING BEHAVIOR; FEMALE; HEALTH BEHAVIOR; HUMAN; MALE; PILOT STUDY; PREVENTION AND CONTROL; PSYCHOLOGY; QUESTIONNAIRE; SOCIAL MEDIA; YOUNG ADULT;

ADOLESCENT; ADULT; ALCOHOL DRINKING; CROSS-SECTIONAL STUDIES; FEMALE; HEALTH BEHAVIOR; HUMANS; MALE; MARIJUANA SMOKING; PILOT PROJECTS; SOCIAL MEDIA; SURVEYS AND QUESTIONNAIRES; YOUNG ADULT;

EID: 84961671361     PISSN: 19371888     EISSN: 19384114     Source Type: Journal    
DOI: 10.15288/jsad.2016.77.349     Document Type: Article

References (32)

1. Blodorn, A., & O’Brien, L. T. (2013). Evaluations of White American versus Black American discrimination claimants’ political views and prejudicial attitudes. Journal of Experimental Social Psychology, 49, 211–216. doi:10.1016/j.jesp.2012.11.004.
2. Bosley, J. C., Zhao, N. W., Hill, S., Shofer, F. S., Asch, D. A., Becker, L. B., & Merchant, R. M. (2013). Decoding Twitter: Surveillance and trends for cardiac arrest and resuscitation communication. Resuscitation, 84, 206–212. doi:10.1016/j.resuscitation.2012.10.017.
3. Brockman, L. N., Pumper, M. A., Christakis, D. A., & Moreno, M. A. (2012). Hookah’s new popularity among US college students: A pilot study of the characteristics of hookah smokers and their Facebook displays. BMJ Open, 2, e001709. doi:10.1136/bmjopen-2012-001709.
4. Burton, S., Dadich, A., & Soboleva, A. (2013). Competing voices: Marketing and counter-marketing alcohol on Twitter. Journal of Nonprofit & Public Sector Marketing, 25, 186–209. doi:10.1080/10495142.2013.787836.
5. Cavazos-Rehg, P. A., Krauss, M., Fisher, S. L., Salyer, P., Grucza, R. A., & Bierut, L. J. (2015). Twitter chatter about marijuana. Journal of Adolescent Health, 56, 139–145. doi:10.1016/j.jadohealth.2014.10.270.
6. Cavazos-Rehg, P., Krauss, M., Grucza, R., & Bierut, L. (2014). Characterizing the followers and tweets of a marijuana-focused Twitter handle. Journal of Medical Internet Research, 16, e157. doi:10.2196/jmir.3247.
7. Chunara, R., Andrews, J. R., & Brownstein, J. S. (2012). Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. American Journal of Tropical Medicine and Hygiene, 86, 39–45. doi:10.4269/ajtmh.2012.11-0597.
8. Coleman, J. T. (2014). Examining the life script of African-Americans: A test of the cultural life script. Applied Cognitive Psychology, 28, 419–426. doi:10.1002/acp.3000.
9. Conway, M. (2014). Ethical issues in using Twitter for public health surveillance and research: Developing a taxonomy of ethical concepts from the research literature. Journal of Medical Internet Research, 16, e290. doi:10.2196/jmir.3617.
10. Dadich, A. M., Burton, S. M., & Soboleva, A. (2013). Promotion of alcohol on Twitter. Medical Journal of Australia, 199, 327–329. doi:10.5694/mja13.10604.
11. Duncan, S. C., Gau, J. M., Farmer, R. F., Seeley, J. R., Kosty, D. B., & Lewinsohn, P. M. (2015). Comorbidity and temporal relations of alcohol and cannabis use disorders from youth through adulthood. Drug and Alcohol Dependence, 149, 80–86. doi:10.1016/j.drugalcdep.2015.01.025.
12. Eke, P. I. (2011). Using social media for research and public health surveillance. Journal of Dental Research, 90, 1045–1046. doi:10.1177/0022034511415277.
13. Festinger, L. (1957). A theory of cognitive dissonance., Stanford, CA: Stanford University Press.
14. Fiegerman, S. (2014, June 27). World Cup highlights difference between ‘real time’ on Facebook, Twitter.Mashable. Retrieved from http://mash-able.com/2014/06/27/facebook-twitter-world-cup/
15. Haberstick, B. C., Young, S. E., Zeiger, J. S., Lessem, J. M., Hewitt, J. K., & Hopfer, C. J. (2014). Prevalence and correlates of alcohol and cannabis use disorders in the United States: Results from the National Longitudinal Study of Adolescent Health. Drug and Alcohol Dependence, 136, 158–161. doi:10.1016/j.drugalcdep.2013.11.022.
16. Himelboim, I., Smith, M., & Shneiderman, B. (2013). Tweeting apart: Applying network analysis to detect selective exposure clusters in Twitter. Communication Methods and Measures, 7, 195–223. doi:10.1080/193 12458.2013.813922.
17. Hughes, A. K., Rostant, O. S., & Curran, P. G. (2014). Improving sexual health communication between older women and their providers: How the integrative model of behavioral prediction can help. Research on Aging, 36, 450–466. doi:10.1177/0164027513500055.
18. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53, 59–68. doi:10.1016/j.bushor.2009.09.003.
19. Kavanaugh, M. L., Bessett, D., Littman, L. L., & Norris, A. (2013). Connecting knowledge about abortion and sexual and reproductive health to belief about abortion restrictions: Findings from an online survey. Women’s Health Issues, 23, e239–e247. doi:10.1016/j.whi.2013.04.003.
20. Marwick, A. E., & Boyd, D. (2011). I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media & Society, 13, 114–133. doi:10.1177/1461444810365313.
21. Moreno, M. A., Parks, M. R., Zimmerman, F. J., Brito, T. E., & Christakis, D. A. (2009). Display of health risk behaviors on MySpace by adolescents: Prevalence and associations. Archives of Pediatrics & Adolescent Medicine, 163, 27–34. doi:10.1001/archpediatrics.2008.528.
22. Moreno, M. A., & Whitehill, J. M. (2012). New media, old risks: Toward an understanding of the relationships between online and offline health behavior. Archives of Pediatrics & Adolescent Medicine, 166, 868–869. doi:10.1001/archpediatrics.2012.1320.
23. Paul, M. J., & Dredze, M. (2011). You are what you Tweet: Analyzing Twitter for public health. Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (pp. 265–272). doi:10.1.1.224.9974
24. Pickett, J. T., Mancini, C., & Mears, D. P. (2013). Vulnerable victims, monstrous offenders, and unmanageable risk: Explaining public opinion on the social control of sex crime. Criminology, 51, 729–759. doi:10.1111/1745-9125.12018.
25. Prado, G., Szapocznik, J., Maldonado-Molina, M. M., Schwartz, S. J., & Pantin, H. (2008). Drug use/abuse prevalence, etiology, prevention, and treatment in Hispanic adolescents: A cultural perspective. Journal of Drug Issues, 38, 5–36. doi:10.1177/002204260803800102.
26. Schoettle, B., & Sivak, M. (2014). The reasons for the recent decline in young driver licensing in the United States. Traffic Injury Prevention, 15, 6–9. doi:10.1080/15389588.2013.839993.
27. Substance Abuse and Mental Health Services Administration. (2013). Results from the 2012 National Survey on Drug Use and Health: Summary of National Findings, NSDUH Series H-46, HHS Publication No. (SMA) 13-4795. Rockville, MD: Author.
28. Sznitman, S., Taubman, D., & Lewis, N. (2014). Analysing Twitter as an opportunity to understand substance use. In G. Potter, M. Wouters, and J. Fountain (Eds.), Drugs in Europe: Change and continuity (pp. 103–122). Lengerich, Germany: Pabst Science Publishers. doi:10.2139/ssrn.2566850
29. Thackeray, R., Neiger, B. L., Hanson, C. L., & McKenzie, J. F. (2008). Enhancing promotional strategies within social marketing programs: Use of Web 2.0 social media. Health Promotion Practice, 9, 338–343. doi:10.1177/1524839908325335.
30. West, J. H., Hall, P. C., Prier, K., Hanson, C. L., Giraud-Carrier, C., Neeley, E. S., & Barnes, M. D. (2012). Temporal variability of problem drinking on Twitter. Open Journal of Preventive Medicine, 2, 43–48. doi:10.4236/ojpm.2012.21007.
31. White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30, 377–399. doi:10.1002/sim.4067.
32. Wiebe, E., Littman, L., Moshier, E., & Kaczorowski, J. (2013). Attitudes and knowledge about abortion and contraception among women in five countries: An internet survey using Survey Monkey audience [Abstract P27]. Contraception, 88, 446. doi:10.1016/j.contraception.2013.05.065.