Addictive behaviors: An analysis of support type and relapse rates among college students
Abstract
Addictions can be classified as any substance, habit or behavior that one has come to heavily depend upon. This can include a variety of habits or behaviors outside of the traditional illicit drug realm. We identified compulsions related to non-illicit or habitual addictions to determine if relapse rates are negatively correlated with positive or negative support. We used a mixed-methods design that examined 24 undergraduate psychology students who attended a rural state university. Participants were asked to give up an addictive substance or habit of their choice for 30 days, and keep a journal during this time. In addition to investigating data using qualitative measures, two independent samples t-tests found that there were significant differences between relapse rates and support levels, p= 0.002, and relapse rates and gender p=.011.
Keywords: Non-illicit, addiction, relapse, positive support, negative support
Full Text:
PDFReferences
Avena, N.M. & Gold, M.S. (2011). Food and Addiction-Sugars, fats and hedonic overeating. Addiction, 106(7), 1214-1215. https:doi.org/10.1111/j.1360-0443.2011.03373.x
Broughton, K. A., Payne, L., & Liechty, T. (2017). An exploration of older men's social lives and well-being in the context of a coffee group. Leisure Sciences, 39(3), 261-276. doi:10.1080/01490400.2016.1178200
Fernando, W.W.S.A., Wellman, R.J. & DiFranza, J.R. (2006). The relationship between level of cigarette consumption and latency to the onset of retrospectively reported withdrawal symptoms. Psychopharmacology, 188, 335-342. doi:10.1007/s00213-006-0497-x
Fortuna, J. L. (2010). Sweet preference, sugar addiction and the familial history of alcohol dependence: Shared neural pathways and genes. Journal of Psychoactive Drugs, 42(2), 147-151. doi:10.1080/02791072.2010.1040068
Kuss, D. J. & Griffiths, M. D. (2017). Social networking sites and Addiction: Ten Lessons Learned. Environmental Research and Public Health. 14(3), 311-327. doi: 10.3390/ijerph14030311
Li, W., O'Brien, J.E., Snyder, S. M. & Howard, M. 0. (2015). Characteristics of internet addiction/pathological internet use in U.S. university students: A qualitative-method investigation. PLoS ONE 10(2). doi:10.1371/journal.pone.0117372
Mahamid, F. A., & Berte, D. Z. (2018). Social media addiction in geopolitically at-risk youth. International Journal Of Mental Health And Addiction, doi:10.1007/s11469-017-9870-8
Ozsungur, S., Brenner, D. & El-Sohemy, A. (2009). Fourteen well-described caffeine withdrawal symptoms factor into three clusters. Psychopharmacology, 201, 541-548.
doi: 10.1007/s00213- 008-1329-y
Pedram, P., Wadden, D., Amini, P., Gulliver, W., Randell, E., et al. (2013). Food addiction: Its prevalence and significant association with obesity in the general population. PLoS ONE 8(9):
doi:1O. l371/joumal.pone.0074832
Rehab Center. “The relationship between substance abuse and social media addiction”. http://www.rehabcenter.net/the-relationship-between-substance-abuse-and-social-media-addiction/
Ridder, D., Manning, P., Leong, S. L., Ross, S., Sutherland, W., Horwath, C. & Vanneste, S. (2016). The brain, obesity and addiction: An EEG neuroimaging study. Scientific Reports, 6, 1-13. doi: 10.1038/srep34122
Satel, S. (2006). Is Caffeine Addictive?--A Review of the Literature. The American Journal of Drug And Alcohol Abuse, 32(4), 493-502. doi:10.1080/00952990600918965
Shaikh, F. A. & Ghosh, A. (2011). Effect of social support and self-efficacy on depression among recovering substance users. Journal of Psychosocial Research, 6(2), 211-219.
Snow, D. & Anderson, C. (2000). Exploring the factors influencing relapse and recovery among drug & alcohol addicted women. Journal of Psychological Nursing & Mental Health Services, 38(7), 8-19.
Sriwilai, K., & Charoensukmongkol, P. (2016). Face it, don't Facebook it: Impacts of social media addiction on mindfulness, coping strategies and the consequence on emotional exhaustion. Stress and Health: Journal of the International Society for the
Investigation of Stress, 32(4), 427-434. doi:10.1002/smi.2637
Stapleton, J.A. (2009). [Commentary] Trial comes too late as psychiatric side effects end hope for Rimonabant. Addiction. 10(2), 277-278. https://doi.org/10.1111/j.1360-0443.2008.02487.x
Turel, O., & R. Cavagnaro, D. (2019). Effect of Abstinence from Social Media on Time Perception: Differences between Low- and At-Risk for Social Media “Addiction” Groups. Psychiatric Quarterly, 90(1), 217–227. https://doi.org/10.1007/s11126-018-9614-3
Walter, M., Gerhard, U., Duersteler-Macfarland, K. M., Weijers, H. G., Boening, J. & Wiesbeck, G. A. (2006). Social factors but not stress-coping styles predict relapse in detoxified alcoholics. Neuropsychobiology, 54, 100-106. doi: 10.1159/000096991
Walton, M. A., Blow, F. C., & Booth, B. M. (2001). Diversity in relapse prevention needs: Gender and race comparisons among substance abuse. American Journal of Drug & Alcohol Abuse, 27(2), 225.
DOI: https://doi.org/10.51383/ijonmes.2021.59
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 International Journal of Modern Education Studies
This work is licensed under a Creative Commons Attribution 4.0 International License.