References
- Bae, S., Chung, T., Ferreira, D., Dey, A. K., & Suffoletto, B. (2018). Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions. Addictive Behaviors, 83, 42–47. https://doi.org/https://doi.org/10.1016/j.addbeh.2017.11.039
- Brooks, M. J., Marshal, M. P., McCauley, H. L., Douaihy, A., & Miller, E. (2016). The relationship between hope and adolescent likelihood to endorse substance use behaviors in a sample of marginalized youth. Substance Use & Misuse, 51(13), 1815–1819. https://doi.org/https://doi.org/10.1080/10826084.2016.1197268
- Businelle, M. S.,Walters, S. T.,Mun, E.-Y.,Kirchner, T. R.,Hébert, E. T., &Li, X. (2020). Reducing drinking among people experiencing homelessness: Protocol for the development and testing of a just-in-time adaptive intervention. JMIR Research Protocols, 9(4), e15610. https://doi.org/https://doi.org/10.2196/15610
- Buu, A.,Li, R.,Walton, M. A.,Yang, H.,Zimmerman, M. A., &Cunningham, R. M. (2014). Changes in substance use-related health risk behaviors on the timeline follow-back interview as a function of length of recall period. Substance Use & Misuse, 49(10), 1259–1269. https://doi.org/https://doi.org/10.3109/10826084.2014.891621
- Buu, A., Yang, S., Li, R., Zimmerman, M. A., Cunningham, R. M., & Walton, M. A. (2020). Examining measurement reactivity in daily diary data on substance use: Results from a randomized experiment. Addictive Behaviors, 102, 106198. https://doi.org/https://doi.org/10.1016/j.addbeh.2019.106198
- Chowdhury, M. Z. I., & Turin, T. C. (2020). Variable selection strategies and its importance in clinical prediction modelling. Family Medicine and Community Health, 8(1), e000262. https://doi.org/https://doi.org/10.1136/fmch-2019-000262
- Clifford, P. R., Maisto, S. A., & Davis, C. M. (2007). Alcohol treatment research assessment exposure subject reactivity effects: Part I. Alcohol use and related consequences. Journal of Studies on Alcohol and Drugs, 68(4), 519–528. https://doi.org/https://doi.org/10.15288/jsad.2007.68.519
- Cohn, A. M., Hunter-Reel, D., Hagman, B. T., & Mitchell, J. (2011). Promoting behavior change from alcohol use through mobile technology: The future of ecological momentary assessment. Alcoholism, Clinical and Experimental Research, 35(12), 2209–2215. https://doi.org/https://doi.org/10.1111/j.1530-0277.2011.01571.x
- Collins, R. L., Kashdan, T. B., & Gollnisch, G. (2003). The feasibility of using cellular phones to collect ecological momentary assessment data: Application to alcohol consumption. Experimental and Clinical Psychopharmacology, 11(1), 73–78. https://doi.org/https://doi.org/10.1037//1064-1297.11.1.73
- Czyz, E. K., Yap, J. R. T., King, C. A., & Nahum-Shani, I. (2020). Using intensive longitudinal data to identify early predictors of suicide-related outcomes in high-risk adolescents: Practical and conceptual considerations. Assessment, 1073191120939168. https://doi.org/https://doi.org/10.1177/1073191120939168. PMID: 32667206.
- Dulin, P. L.,Alvarado, C. E.,Fitterling, J. M., &Gonzalez, V. M. (2017). Comparisons of alcohol consumption by time-line follow back vs. smartphone-based daily interviews. Addiction Research & Theory, 25(3), 195–200. https://doi.org/https://doi.org/10.1080/16066359.2016.1239081
- Dvorak, R. D., & Simons, J. S. (2014). Daily associations between anxiety and alcohol use: Variation by sustained attention, set shifting, and gender. Psychology of Addictive Behaviors, 28(4), 969–979. https://doi.org/https://doi.org/10.1037/a0037642
- Fedele, D. A., Cushing, C. C., Fritz, A., Amaro, C. M., & Ortega, A. (2017). Mobile health interventions for improving health outcomes in youth: A meta-analysis. JAMA Pediatrics, 171(5), 461–469. https://doi.org/https://doi.org/10.1001/jamapediatrics.2017.0042
- Fridberg, D. J., Faria, J., Cao, D., & King, A. C. (2019). Real-time mobile monitoring of drinking episodes in young adult heavy drinkers: Development and comparative survey study. JMIR mHealth and uHealth, 7(11), e13765. https://doi.org/https://doi.org/10.2196/13765
- Gonzales, R., Ang, A., Murphy, D. A., Glik, D. C., & Anglin, M. D. (2014). Substance use recovery outcomes among a cohort of youth participating in a mobile-based texting aftercare pilot program. Journal of Substance Abuse Treatment, 47(1), 20–26. https://doi.org/https://doi.org/10.1016/j.jsat.2014.01.010
- Gonzales, R., Hernandez, M., Murphy, D. A., & Ang, A. (2016). Youth recovery outcomes at 6 and 9 months following participation in a mobile texting recovery support aftercare pilot study. The American Journal on Addictions/American Academy of Psychiatrists in Alcoholism and Addictions, 25(1), 62–68.
- Gustafson, D. H., McTavish, F. M., Chih, M.-Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., Levy, M. S., Driscoll, H., Chisholm, S. M., Dillenburg, L., Isham, A., & Shah, D. (2014). A smartphone application to support recovery from alcoholism: A randomized clinical trial. JAMA Psychiatry, 71(5), 566–572. https://doi.org/https://doi.org/10.1001/jamapsychiatry.2013.4642
- Heron, K. E., Everhart, R. S., McHale, S. M., & Smyth, J. M. (2017). Using mobile-technology-based Ecological Momentary Assessment (EMA) methods with youth: A systematic review and recommendations. Journal of Pediatric Psychology, 42(10), 1087–1107. https://doi.org/https://doi.org/10.1093/jpepsy/jsx078
- Horigian, V. E., Schmidt, R. D., & Feaster, D. J. (2021). Loneliness, mental health, and substance use among US young adults during COVID-19. Journal of Psychoactive Drugs, 53(1), 1–9.
- Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32(3), 401–414. https://doi.org/https://doi.org/10.1016/S0191-8869(01)00032-0
- Hutton, A., Prichard, I., Whitehead, D., Thomas, S., Rubin, M., Sloand, E., Powell, T. W., Frisch, K., Newman, P., & Goodwin Veenema, T. (2020). mHealth interventions to reduce alcohol use in young people: A systematic review of the literature. Comprehensive Child and Adolescent Nursing, 43(3), 171–202. https://doi.org/https://doi.org/10.1080/24694193.2019.1616008
- Hwang, T.-J., Rabheru, K., Peisah, C., Reichman, W., & Ikeda, M. (2020). Loneliness and social isolation during the COVID-19 pandemic. International Psychogeriatrics, 32(10), 1217–1220. https://doi.org/https://doi.org/10.1017/S1041610220000988
- Ingram, I., Kelly, P. J., Deane, F. P., Baker, A. L., Goh, M. C. W., Raftery, D. K., & Dingle, G. A. (2020). Loneliness among people with substance use problems: A narrative systematic review. Drug and Alcohol Review, 39(5), 447–483. https://doi.org/https://doi.org/10.1111/dar.13064
- Jeste, D. V., Lee, E. E., & Cacioppo, S. (2020). Battling the modern behavioral epidemic of loneliness: Suggestions for research and interventions. JAMA Psychiatry, 77(6), 553–554. https://doi.org/https://doi.org/10.1001/jamapsychiatry.2020.0027
- Kaminer, Y., Burleson, J. A., & Burke, R. (2008). Can assessment reactivity predict treatment outcome among adolescents with alcohol and other substance use disorders?Substance Abuse, 29(2), 63–69. https://doi.org/https://doi.org/10.1080/08897070802093262
- Kazdin, A. E. (1974). Reactive self-monitoring: The effects of response desirability, goal setting, and feedback. Journal of Consulting and Clinical Psychology, 42(5), 704–716. https://doi.org/https://doi.org/10.1037/h0037050
- Kazemi, D. M., Borsari, B., Levine, M. J., Li, S., Lamberson, K. A., & Matta, L. A. (2017). A Systematic review of the mHealth interventions to prevent alcohol and substance abuse. Journal of Health Communication, 22(5), 413–432. https://doi.org/https://doi.org/10.1080/10810730.2017.1303556
- Klasnja, P., Hekler, E. B., Shiffman, S., Boruvka, A., Almirall, D., Tewari, A., & Murphy, S. A. (2015). Microrandomized trials: An experimental design for developing just-in-time adaptive interventions (Vol. 34S, pp. 1220–1228). Official Journal of the Division of Health Psychology, American Psychological Association.
- Lee, S. A. (2020). Coronavirus Anxiety Scale: A brief mental health screener for COVID-19 related anxiety. Death Studies, 44(7), 393–401. https://doi.org/https://doi.org/10.1080/07481187.2020.1748481
- Lippman, L. H., Moore, K. A., Guzman, L., Ryberg, R., McIntosh, H., Ramos, M. F., Caal, S., Carle, A., & Kuhfeld, M. (2014). Flourishing children: Defining and testing indicators of positive development. Springer.
- Maisto, S. A., Clifford, P. R., & Davis, C. M. (2007). Alcohol treatment research assessment exposure subject reactivity effects: Part II. Treatment engagement and involvement. Journal of Studies on Alcohol and Drugs, 68(4), 529–533. https://doi.org/https://doi.org/10.15288/jsad.2007.68.529
- Marshall, E. J. (2014). Adolescent alcohol use: Risks and consequences. Alcohol and Alcoholism (Oxford, Oxfordshire), 49(2), 160–164. https://doi.org/https://doi.org/10.1093/alcalc/agt180
- Mason, M., Ola, B., Zaharakis, N., & Zhang, J. (2015). Text messaging interventions for adolescent and young adult substance use: A meta-analysis. Prevention Science, 16(2), 181–188. https://doi.org/https://doi.org/10.1007/s11121-014-0498-7
- McGraw, K. O., & Wong, S. P. (1992). A common language effect size statistic. Psychological Bulletin, 111(2), 361–365. https://doi.org/https://doi.org/10.1037/0033-2909.111.2.361
- Mobile Fact Sheet. (2021, April 7). Pew Research Center. www.pewinternet.org/fact-sheet/mobile/
- Nahum-Shani, I., Hekler, E. B., & Spruijt-Metz, D. (2015). Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework. Health Psychology, 34S, 1209–1219.
- Nahum-Shani, I., Rabbi, M., Yap, J., Philyaw-Kotov, M., Klasnja, P., Bonar, E. E., Cunningham, R., Murphy, S., & Walton, M. A. (in press). Translating strategies for promoting engagement in mobile health: A micro-randomized feasibility trial. Official Journal of the Division of Health Psychology, American Psychological Association.
- Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine, 52(6), 446–462. https://doi.org/https://doi.org/10.1007/s12160-016-9830-8
- Pencina, M. J., D’Agostino, R. B., Pencina, K. M., Janssens, A. C. J. W., & Greenland, P. (2012). Interpreting incremental value of markers added to risk prediction models. American Journal of Epidemiology, 176(6), 473–481. https://doi.org/https://doi.org/10.1093/aje/kws207
- Rabbi, M., Philyaw-Kotov, M., Cunningham, R., Bonar, E. E., Nahum-Shani, I., Klasnja, P., Walton, M., & Murphy, S. (2018). Toward increasing engagement in substance use data collection: Development of the substance abuse research assistant app and protocol for a microrandomized trial using adolescents and emerging adults. JMIR Research Protocols, 7(7), e166. https://doi.org/https://doi.org/10.2196/resprot.9850
- Rabbi, M., Philyaw-Kotov, M., Lee, J., Mansour, A., Dent, L., Wang, X., Cunningham, R., Bonar, E., Nahum-Shani, I., Klasnja, P., Walton, M., & Murphy, S. (2017). SARA: A mobile app to engage users in health data collection. Proceedings of the ACM International Conference on Ubiquitous Computing, UbiComp (Conference), 2017, 781–789. https://doi.org/https://doi.org/10.1145/3123024.3125611
- Rehm, J., Mathers, C., Popova, S., Thavorncharoensap, M., Teerawattananon, Y., & Patra, J. (2009). Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. The Lancet, 373(9682), 2223–2233. https://doi.org/https://doi.org/10.1016/S0140-6736(09)60746-7
- Rice, M. E., & Harris, G. T. (2005). Comparing effect sizes in follow-up studies: ROC Area, Cohen’s d, and r. Law and Human Behavior, 29(5), 615–620. https://doi.org/https://doi.org/10.1007/s10979-005-6832-7
- Roerecke, M., & Rehm, J. (2013). Alcohol use disorders and mortality: A systematic review and meta-analysis. Addiction (Abingdon, England), 108(9), 1562–1578. https://doi.org/https://doi.org/10.1111/add.12231
- Savolainen, I., Oksanen, A., Kaakinen, M., Sirola, A., & Paek, H.-J. (2020). The role of perceived loneliness in youth addictive behaviors: Cross-national survey study. JMIR Mental Health, 7(1), e14035. https://doi.org/https://doi.org/10.2196/14035
- Schrimsher, G. W., & Filtz, K. (2011). Assessment reactivity: Can assessment of alcohol use during research be an active treatment?Alcoholism Treatment Quarterly, 29(2), 108–115. https://doi.org/https://doi.org/10.1080/07347324.2011.557983
- Serre, F., Fatseas, M., Swendsen, J., & Auriacombe, M. (2015). Ecological momentary assessment in the investigation of craving and substance use in daily life: A systematic review. Drug and Alcohol Dependence, 148, 1–20. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2014.12.024
- Shiffman, S. (2009). Ecological momentary assessment (EMA) in studies of substance use. Psychological Assessment, 21(4), 486–497. https://doi.org/https://doi.org/10.1037/a0017074
- Simons, J. S., Dvorak, R. D., Batien, B. D., & Wray, T. B. (2010). Event-level associations between affect, alcohol intoxication, and acute dependence symptoms: Effects of urgency, self-control, and drinking experience. Addictive Behaviors, 35(12), 1045–1053. https://doi.org/https://doi.org/10.1016/j.addbeh.2010.07.001
- Simons, J. S., Gaher, R. M., Oliver, M. N. I., Bush, J. A., & Palmer, M. A. (2005). An experience sampling study of associations between affect and alcohol use and problems among college students. Journal of Studies on Alcohol, 66(4), 459–469. https://www.jsad.com/doi/abs/https://doi.org/10.15288/jsa.2005.66.459https://doi.org/https://doi.org/10.15288/jsa.2005.66.459
- Sobell, L. C., & Sobell, M. B. (1995). Alcohol timeline Followback users’ manual. Addiction Research Foundation.
- Sobell, L. C., & Sobell, M. B. (1996). Timeline Followback user’s guide: A calendar method for assessing alcohol and drug use. Addiction Research Foundation.
- Sobell, L. C., Brown, J., Leo, G. I., & Sobell, M. B. (1996). The reliability of the Alcohol Timeline Followback when administered by telephone and by computer. Drug and Alcohol Dependence, 42(1), 49–54. https://doi.org/https://doi.org/10.1016/0376-8716(96)01263-x
- Sobell, L. C., Maisto, S. A., Sobell, M. B., & Cooper, A. M. (1979). Reliability of alcohol abusers’ self-reports of drinking behavior. Behaviour Research and Therapy, 17(2), 157–160. https://doi.org/https://doi.org/10.1016/0005-7967(79)90025-1
- Steidtmann, D., Manber, R., Blasey, C., Markowitz, J. C., Klein, D. N., Rothbaum, B. O., Thase, M. E., Kocsis, J. H., & Arnow, B. A. (2013). Detecting critical decision points in psychotherapy and psychotherapy + medication for chronic depression. Journal of Consulting and Clinical Psychology, 81(5), 783–792. https://doi.org/https://doi.org/10.1037/a0033250
- Stone, A., Shiffman, S., Atienza, A., & Nebeling, L. (2007). The science of real-time data capture: Self-reports in health research. Oxford University Press.
- Su, J., & Lin, W. (Lisa). (2007). Using macro and ODS to overcome limitations of SAS® procedures. Merck & Co, Inc. https://www.lexjansen.com/nesug/nesug07/cc/cc26.pdf
- Substance Abuse and Mental Health Services Administration (SAMHSA). (2020). 2019 National Survey of Drug Use and Health (NSDUH) detailed tables. https://www.samhsa.gov/data/report/2019-nsduh-detailed-tables
- Swendsen, J. D., Tennen, H., Carney, M. A., Affleck, G., Willard, A., & Hromi, A. (2000). Mood and alcohol consumption: An experience sampling test of the self-medication hypothesis. Journal of Abnormal Psychology, 109(2), 198–204.
- Votaw, V. R., & Witkiewitz, K. (2021). Motives for substance use in daily life: A systematic review of studies using ecological momentary assessment. Clinical Psychological Science, 9(4), 2167702620978614.
- Walters, S. T., Vader, A. M., Harris, T. R., & Jouriles, E. N. (2009). Reactivity to alcohol assessment measures: An experimental test. Addiction, 104(8), 1305–1310. https://doi.org/https://doi.org/10.1111/j.1360-0443.2009.02632.x
- Wen, C. K. F., Schneider, S., Stone, A. A., & Spruijt-Metz, D. (2017). Compliance with mobile ecological momentary assessment protocols in children and adolescents: A systematic review and meta-analysis. Journal of Medical Internet Research, 19(4), e132. https://doi.org/https://doi.org/10.2196/jmir.6641
- Wray, T. B., Merrill, J. E., & Monti, P. M. (2014). Using Ecological Momentary Assessment (EMA) to assess situation-level predictors of alcohol use and alcohol-related consequences. Alcohol Research: Current Reviews, 36(1), 19–27.