430
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Linguistic predictors from Facebook postings of substance use disorder treatment retention versus discontinuation

ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon & ORCID Icon
Pages 573-585 | Received 02 Dec 2021, Accepted 15 Jun 2022, Published online: 19 Jul 2022

References

  • Kleber HD, Weiss RD, Anton RF, George TP, Greenfield SF, Kosten TR, O’-Brien CP, Rounsaville BJ, Strain EC, Ziedonis DM, et al. Treatment of patients with substance use disorders. Am J Psychiatry 2007;164:3–123.
  • Brorson HH, Ajo Arnevik E, Rand-Hendriksen K, Duckert F. Drop-Out from addiction treatment: a systematic review of risk factors. Clin Psychol Rev. 2013;33:1010–24. doi:10.1016/j.cpr.2013.07.007.
  • Şimşek M, Dinç M, Ögel K. Determinants of the addiction treatment drop-out rates in an addiction counseling centre: a cross-sectional study. Psychiatry Clin Psychopharmacol. 2019;29:446–54. doi:10.1080/24750573.2018.1505283.
  • McCaul ME, Svikis DS, Moore RD. Predictors of outpatient treatment retention: patient versus substance use characteristics. Drug Alcohol Depend. 2001;62:9–17. doi:10.1016/S0376-8716(00)00155-1.
  • Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling up research on drug abuse and addiction through social media big data. J Med Internet Res. 2017;19. doi:10.2196/jmir.6426.
  • Holtgraves TM. Language as social action: social psychology and language use. Mahwah, New Jersey: Lawrence Erlbaum Associates Publishers; 2002; 2013/07/04/. p 253.
  • Shutler L, Nelson LS, Portelli I, Blachford C, Perrone J. Drug use in the twittersphere: a qualitative contextual analysis of tweets about prescription drugs. J Addict Dis. 2015;34:303–10. doi:10.1080/10550887.2015.1074505.
  • Miller PG, Sønderlund AL. Using the internet to research hidden populations of illicit drug users: a review. Addict. 2010;105:1557–67. doi:10.1111/j.1360-0443.2010.02992.x.
  • Eichstaedt JC, Smith RJ, Merchant RM, Ungar LH, Crutchley P, Preoţiuc-Pietro D, Asch DA, Schwartz HA. Facebook language predicts depression in medical records. Proc Natl Acad Sci U S a. 2018;115:11203–08. doi:10.1073/pnas.1802331115.
  • Tausczik YR, Pennebaker JW. The psychological meaning of words: LIWC and computerized text analysis methods. J Lang Soc Psychol. 2010;29:24–54. doi:10.1177/0261927X09351676.
  • Guntuku SC, Schneider R, Pelullo A, Young J, Wong V, Ungar L, Polsky D, Volpp KG, Merchant R. Studying expressions of loneliness in individuals using twitter: an observational study. Bmj Open. 2019;9:e030355. doi:10.1136/bmjopen-2019-030355.
  • Guntuku SC, Sherman G, Stokes DC, Agarwal AK, Seltzer E, Merchant RM, Ungar LH. Tracking mental health and symptom mentions on twitter during covid-19. J Gen Intern Med. 2020;35:2798–800. doi:10.1007/s11606-020-05988-8.
  • Curtis B, Giorgi S, Ungar L, Vu H, Yaden D, Liu T, Yadeta K, Schwartz HA. AI-based analysis of social media language predicts addiction treatment dropout at 90 days. Unpublished MS2021.
  • Hassanpour S, Tomita N, DeLise T, Crosier B, Marsch LA. Identifying substance use risk based on deep neural networks and Instagram social media data. Neuropsychopharmacol. 2019;44:487–94. doi:10.1038/s41386-018-0247-x.
  • Marsch LA. Digital health data-driven approaches to understand human behavior. Neuropsychopharmacol. 2021;46:191–96. doi:10.1038/s41386-020-0761-5.
  • Stewart R, Velupillai S. Applied natural language processing in mental health big data. Neuropsychopharmacol. 2021;46:252–53. doi:10.1038/s41386-020-00842-1.
  • Liu T, Giorgi S, Tao X, Bellew D, Curtis B, Ungar L. Cross-Platform Different Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis. arXiv. 2022. doi:10.48550/arXiv.2202.01802.
  • Kornfield R, Toma CL, Shah DV, Moon TJ, Gustafson DH. What do you say before you relapse? how language use in a peer-to-peer online discussion forum predicts risky drinking among those in recovery. Health Commun. 2018;33:1184–93. doi:10.1080/10410236.2017.1350906.
  • Ding T, W Bickel, S Pan, editors Multi-View unsupervised user feature embedding for social media-based substance use prediction. 2017 Conference on Empirical Methods in Natural Language Processing; 2017 2017/09; Copenhagen, Denmark. Copenhagen, Denmark: Association for Computational Linguistics.
  • Jha D, Singh R. Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling. BMC Bioinform. 2020;21:554. doi:10.1186/s12859-020-03893-9.
  • Borras L, Khazaal Y, Khan R, Mohr S, Kaufmann Y-A, Zullino D, Huguelet P, Allamani A, Bastos FI, Brown B, et al. Dialogue. Substance Use & Misuse. 2010;45:2357–410. doi:10.3109/1082608100374761110.3109/10826081003747611.
  • Kelly JF, Moos R. Dropout from 12-step self-help groups: prevalence, predictors, and counteracting treatment influences. J Subst Abuse Treat. 2003;24:241–50. doi:10.1016/S0740-5472(03)00021-7.
  • Deane FP, Wootton DJ, Hsu C-I, Kelly PJ. Predicting dropout in the first 3 months of 12-step residential drug and alcohol treatment in an Australian sample. J Stud Alcohol Drugs. 2012;73:216–25. doi:10.15288/jsad.2012.73.216.
  • Hai AH, Franklin C, Park S, DiNitto DM, Aurelio N. The efficacy of spiritual/religious interventions for substance use problems: a systematic review and meta-analysis of randomized controlled trials. Drug Alcohol Depend. 2019;202:134–48. doi:10.1016/j.drugalcdep.2019.04.045.
  • Schoenthaler SJ, Blum K, Braverman ER, Giordano J, Thompson B, Oscar-Berman M, Badgaiyan RD, Madigan MA, Dushaj K, Li M, et al. Nida-Drug addiction treatment outcome study (datos) relapse as a function of spirituality/religiosity. J Reward Deficiency Syndr. 2015;1:36–45. doi:10.17756/jrds.2015-007.
  • Galanter M, Dermatis H, Bunt G, Williams C, Trujillo M, Steinke P. Assessment of spirituality and its relevance to addiction treatment. J Subst Abuse Treat. 2007;33:257–64. doi:10.1016/j.jsat.2006.06.014.
  • Wallace JM, Forman TA. 1998. Religion’s role in promoting health and reducing risk among American youth. Health Educ Behav. 25:721–41. doi:10.1177/109019819802500604.
  • Ghadirian A-M, Salehian S. Is spirituality effective in addiction recovery and prevention? J Bahá’í Stud. 2018;28:69–88. doi:10.31581/jbs-28.4-5(2018).
  • Pardini DA, Plante TG, Sherman A, Stump JE.Religious faith and spirituality in substance abuse recovery: determining the mental health benefits. J Subst Abuse Treat. 2000;19:347–54. doi:10.1016/S0740-5472(00)00125-2.
  • Mason SJ, Deane FP, Kelly PJ, Crowe TP. Do spirituality and religiosity help in the management of cravings in substance abuse treatment? Subst Use Misuse. 2009;44:1926–40. doi:10.3109/10826080802486723.
  • Robinson EAR, Krentzman AR, Webb JR, Brower KJ. Six-Month changes in spirituality and religiousness in alcoholics predict drinking outcomes at nine months. J Stud Alcohol Drugs. 2011;72:660–68.
  • Rahman MM, Rahaman MM, Hamadani JD, Mustafa K, Islam SMS.Psycho-Social factors associated with relapse to drug addiction in bangladesh. J Subst Use. 2016;21:627–30. doi:10.3109/14659891.2015.1122099.
  • Kober H. Emotion regulation in substance use disorders. In: James J. Gross, ed. Handbook of emotion regulation. 2 ed. New York, NY, US: The Guilford Press; 2014. pp. 428–46.
  • Nordheim K, Walderhaug E, Alstadius S, Kern-Godal A, Arnevik E, Duckert F. Young adults reasons for dropout from residential substance use disorder treatment. Qual Social Work. 2018;17:24–40. doi:10.1177/1473325016654559.
  • Altavilla D, Acciai A, Deriu V, Chiera A, Adornetti I, Ferretti F, Bassi A, Colonna Z, De Luca V, Canali S.Linguistic analysis of self-narratives of patients with gambling disorder. Addict Disord Their Treat. 2020;19:209–17. doi:10.1097/ADT.0000000000000229.
  • Fredrickson BL.The role of positive emotions in positive psychology. Am Psychol. 2001;56:218–26.
  • Siahpush M, Spittal M, Singh GK. Happiness and life satisfaction prospectively predict self-rated health, physical health, and the presence of limiting, long-term health conditions. Am J Health Promot. 2008;23:18–26. doi:10.4278/ajhp.061023137.
  • Isen AM. A role for neuropsychology in understanding the facilitating influence of positive affect on social behavior and cognitive processes. In: Shane J. Lopez &C.R. Snyder, eds. Oxford handbook of positive psychology. Oxford library of psychology. second ed. New York, NY, US: Oxford University Press; 2009. pp. 503–18.
  • Kaniuka AR, Kelliher Rabon J, Brooks BD, Sirois F, Kleiman E, Hirsch JK. Gratitude and suicide risk among college students: Substantiating the protective benefits of being thankful. J Am Coll Health. 2020;1–8. doi:10.1080/07448481.2019.1705838.
  • Estévez A, Jáuregui P, Sánchez-Marcos I, López-González H, Griffiths MD. Attachment and emotion regulation in substance addictions and behavioral addictions. J Behav Addict. 2017;6:534–44. doi:10.1556/2006.6.2017.086.
  • Ottonello M, Fiabane E, Pistarini C, Spigno P, Torselli E. Difficulties in emotion regulation during rehabilitation for alcohol addiction: correlations with metacognitive beliefs about alcohol use and relapse risk. Neuropsychiatr Dis Treat. 2019;15:2917–25. doi:10.2147/NDT.S214268.
  • Weiss NH, Forkus SR, Contractor AA, Schick MR. Difficulties regulating positive emotions and alcohol and drug misuse: a path analysis. Addict Behav. 2018;84:45–52. doi:10.1016/j.addbeh.2018.03.027.
  • Park G, Schwartz HA, Sap M, Kern ML, Weingarten E, Eichstaedt JC, Berger J, Stillwell DJ, Kosinski M, Ungar LH, et al. Living in the past, present, and future: measuring temporal orientation with language. J Pers. 2017;85:270–80. doi:10.1111/jopy.12239.
  • Edwards TM, Holtzman NS. A meta-analysis of correlations between depression and first person singular pronoun use. J Res Pers. 2017;68:63–68. doi:10.1016/j.jrp.2017.02.005.
  • Shipp AJ, Aeon B. Temporal focus: thinking about the past, present, and future. Curr Opin Psychol. 2019;26:37–43. doi:10.1016/j.copsyc.2018.04.005.
  • Holman EA, Silver RC. Getting “stuck” in the past: Temporal orientation and coping with trauma. J Pers Soc Psychol. 1998;74:1146–63. doi:10.1037//0022-3514.74.5.1146.
  • Wahl K, Schönfeld S, Hissbach J, Küsel S, Zurowski B, Moritz S, Hohagen F, Kordon A. Differences and similarities between obsessive and ruminative thoughts in obsessive-compulsive and depressed patients: a comparative study. J Behav Ther Exp Psychiatry. 2011;42:454–61. doi:10.1016/j.jbtep.2011.03.002.
  • Miceli S, Cardaci M, Scrima F, Caci B. Time perspective and facebook addiction: the moderating role of neuroticism. Cur Psychol. 2021. doi:10.1007/s12144-021-01355-w.
  • Shipp AJ, Edwards JR, Lambert LS. Conceptualization and measurement of temporal focus: the subjective experience of the past, present, and future. Organ Behav Hum Decis Process. 2009;110:1–22. doi:10.1016/j.obhdp.2009.05.001.
  • Drake L, Duncan E, Sutherland F, Abernethy C, Henry C. Time perspective and correlates of wellbeing. Time Soc. 2008;17:47–61. doi:10.1177/0961463X07086304.
  • Keough KA, Zimbardo PG, Boyd JN. Who’s smoking, drinking, and using drugs? Time perspective as a predictor of substance use. Basic Appl Soc Psych. 1999;21:149–64. doi:10.1207/S15324834BA210207.
  • Adams J, Nettle D. Time perspective, personality and smoking, body mass, and physical activity: an empirical study. Br J Health Psychol. 2009;14:83–105. doi:10.1348/135910708X299664.
  • Ouellette JA, Hessling R, Gibbons FX, Reis-Bergan M, Gerrard M. Using images to increase exercise behavior: prototypes versus possible selves. Pers Soc Psychol Bull. 2005;31:610–20. doi:10.1177/0146167204271589.
  • Robbins RN, Bryan A. Relationships between future orientation, impulsive sensation seeking, and risk behavior among adjudicated adolescents. J Adolesc Res. 2004;19:428–45. doi:10.1177/0743558403258860.
  • Barnett E, Spruijt-Metz D, Unger JB, Rohrbach LA, Sun P, Sussman S. Bidirectional associations between future time perspective and substance use among continuation high-school students. Subst Use Misuse. 2013;48:574–80. doi:10.3109/10826084.2013.787092.
  • Chodkiewicz J, Nowakowska K. Temporal orientation and a course of alcohol addiction therapy. Psychiatr Pol. 2011;45:177–86.
  • Brancu M, Jobes D, Wagner BM, Greene JA, Fratto TA. Are there linguistic markers of suicidal writing that can predict the course of treatment? a repeated measures longitudinal analysis. Archiv Suicide Res. 2016;20:438–50. doi:10.1080/13811118.2015.1040935.
  • Anderson B, Goldin PR, Kurita K, Gross JJ.Self-Representation in social anxiety disorder: linguistic analysis of autobiographical narratives. Behav Res Ther. 2008;46:1119–25. doi:10.1016/j.brat.2008.07.001.
  • Pennebaker JW, Boyd RL, Jordan K, Blackburn K. The development and psychometric properties of LIWC2015. 2015.
  • Ding T, F Hasan, W Bickel, S Pan, editors. Interpreting social media-based substance use prediction models with knowledge distillation. 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI); 2018: Volos, Greece; IEEE.
  • Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. Treatment episode data set (TEDS): 2019. Admissions to and discharges from publicly funded substance use treatment. Rockville (MD): Substance Abuse and Mental Health Services Administration, 2021. [accessed 2022 March 1] https://www.samhsa.gov/data/sites/default/files/reports/rpt35314/2019_TEDS_3-1-22.pdf.
  • Mandrekar JN.Receiver operating characteristic curve in diagnostic test assessment. J Thoracic Oncol. 2010;5:1315–16. doi:10.1097/JTO.0b013e3181ec173d.
  • Lui M, T Baldwin, editors Langid.Py: an off-the-shelf language identification tool. Proceedings of the Association for Computational Linguistics 2012 System Demonstrations; 2012; 2012/07//; Jeju Island, Korea. Jeju Island, Korea: Association for Computational Linguistics.
  • Schwartz HA, Giorgi S, Sap M, Crutchley P, Ungar L, Eichstaedt J, editor Dlatk: differential language analysis toolkit. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations; 2017; Copenhagen, Denmark: Association for Computational Linguistics.
  • Eichstaedt jC, Kern ML, Yaden DB, Schwartz HA, Giorgi S, Park G, Hagan C, Tobolsky V, Smith LK, Buffone A, et al. Closed and open vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations. 2020; 2020/11/16/. Available from: https://psyarxiv.com/t52c6/.
  • Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodol). 1995;57:289–300.
  • Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation. J Mach Learn Res. 2003;3:993–1022.
  • McCallum AK. Mallet: a machine learning for language toolkit. 2002; [updated 2002]. Available from: http://mallet.cs.umass.edu/.
  • Schofield A, M Magnusson, D Mimno, editors Pulling out the stops: rethinking stopword removal for topic models. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics; 2017; Valencia, Spain: Association for Computational Linguistics.
  • Schwartz HA, Eichstaedt JC, Kern ML, Dziurzynski L, Ramones SM, Agrawal M, Shah A, Kosinski M, Stillwell D, Seligman MEP, et al. Personality, gender, and age in the language of social media: the open-vocabulary approach. PLoS One. 2013;8:e73791. doi:10.1371/journal.pone.0073791.
  • Yaden D, Eichstaedt J, Kern M, Smith L, Buffone A, Stillwell D, Kosinski M, Ungar L, Seligman M, Schwartz H. The language of religious affiliation: Social, emotional, and cognitive differences. Soc Psychol Personal Sci. 2017;9:444–52. doi:10.1177/1948550617711228.
  • Russell J. A circumplex model of affect. J Pers Soc Psychol. 1980;39:1161–78. 10.1037/h0077714.
  • Posner J, Russell JA, Peterson BS. The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev Psychopathol. 2005;17:715–34. doi:10.1017/S0954579405050340.
  • Preoţiuc-Pietro D, Schwartz HA, Park G, Eichstaedt J, Kern M, Ungar L, Shulman E, editors. Modelling valence and arousal in facebook posts. Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis; 2016 2016/06//; San Diego, California. San Diego, California: Association for Computational Linguistics.
  • Schwartz HA, Park G, Sap M, Weingarten E, Eichstaedt J, Kern M, Stillwell D, Kosinski M, Berger J, Seligman M, editor(s). Extracting human temporal orientation from Facebook language. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2015; Denver, Colorado: Association for Computational Linguistics.
  • Koenig HG. Religion, spirituality, and health: the research and clinical implications. Isrn Psychiatry. 2012;2012. doi:10.5402/2012/278730.
  • George LK, Ellison CG, Larson DB. Explaining the relationships between religious involvement and health. Psychol Inq. 2002;13:190–200. doi:10.1207/S15327965PLI1303_04.
  • Kub J, Solari-Twadell PA. Religiosity/spirituality and substance use in adolescence as related to positive development: a literature review. J Addict Nurs. 2013;24:247–62. doi:10.1097/JAN.0000000000000006.
  • Stewart C, Koeske G, Pringle J. Religiosity as a predictor of successful post-treatment abstinence for African-American clients. J Soc Work Pract Addict. 2008;7:75–92.
  • Watkins E, Teasdale JD. Adaptive and maladaptive self-focus in depression. J Affect Disord. 2004;82:1–8. doi:10.1016/j.jad.2003.10.006.
  • Kim K, Jang J, Park J, Lee CH. The effect of religion on the human mind: Analyses of language use and personality. Psychologia. 2011;54:145–55. doi:10.2117/psysoc.2011.145.
  • Sedikides C, Gebauer JE. Religion and the self. In: Saroglou V, ed. Religion, Personality, and Social Behavior. New York (NY): Psychology Press;2013 pp. 56–80.
  • Gable PA, Harmon-Jones E. Approach-Motivated positive affect reduces breadth of attention. Psychol Sci. 2008;19:476–82. doi:10.1111/j.1467-9280.2008.02112.x.
  • Gilbert KE.The neglected role of positive emotion in adolescent psychopathology. Clin Psychol Rev. 2012;32:467–81. doi: 10.1016/j.cpr.2012.05.005
  • Alim TN, Lawson WB, Feder A, Iacoviello BM, Saxena S, Bailey CR, Greene AM, Neumeister A. Resilience to meet the challenge of addiction. Alcohol Res. 2012;34:506–15.
  • Mohatt GV, Rasmus SM, Thomas L, Allen J, Hazel K, Marlatt GA. Risk, resilience, and natural recovery: a model of recovery from alcohol abuse for Alaska natives. Addiction. 2008;103:205–15. doi:10.1111/j.1360-0443.2007.02057.x.
  • Hoeppner BB, Schick MR, Carlon H, Hoeppner SS. Do self-administered positive psychology exercises work in persons in recovery from problematic substance use? an online randomized survey. J Subst Abuse Treat. 2019;99:16–23. doi: 10.1016/j.jsat.2019.01.006.
  • Weiss NH, Risi MM, Bold KW, Sullivan TP, Dixon-Gordon KL. Daily relationship between positive affect and drinking to cope: the moderating role of difficulties regulating positive emotions. Am J Drug Alcohol Abuse. 2019;45:189–98. doi:10.1080/00952990.2018.1508470.
  • Schick MR, Weiss NH, Contractor AC, Thomas ED, Spillane NS. Positive emotional intensity and substance use: the underlying role of positive emotional avoidance in a community sample of military veterans. Am J Drug Alcohol Abuse. 2021;0:1–10. doi:10.1080/00952990.2020.1868488.
  • Tseferidi S-I, Griva F, Anagnostopoulos F. Time to get happy: Associations of time perspective with indicators of well-being. Psychol, Health Med. 2017;22:618–24. doi:10.1080/13548506.2016.1226508.
  • Felsman P, Verduyn P, Ayduk O, Kross E. Being present: Focusing on the present predicts improvements in life satisfaction but not happiness. Emotion. 2017;17:1047–51. doi:10.1037/emo0000333.
  • Pennebaker JW, King LA. Linguistic styles: Language use as an individual difference. J Pers Soc Psychol. 1999;77:1296–312. doi:10.1037/0022-3514.77.6.1296.
  • Fast LA, Funder DC. Personality as manifest in word use: Correlations with self-report, acquaintance report, and behavior. J Pers Soc Psychol. 2008;94:334–46. doi:10.1037/0022-3514.94.2.334.
  • Terracciano A, Löckenhoff C, Crum R, Bienvenu O, Costa P. Five-Factor model personality profiles of drug users. BMC Psychiatry. 2008;8. doi:10.1186/1471-244X-8-22.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.