The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Text Messaging Interventions for Adolescent and Young Adult Substance Use: a Meta-Analysis
Abstract
Tobacco and alcohol use continues to be associated with negative health outcomes among adolescents and young adults. New technologies such as text messaging can increase access to substance use interventions and have now been established as an evidence-based, recommended approach towards substance use prevention. This review presents results from a meta-analysis examining the effectiveness of text message interventions for tobacco and alcohol cessation within adolescent and young adult populations. Results from 14 studies with effect sizes are ranging from -0.25 to 0.54. Combining the effect sizes across studies yielded a summary effect size of 0.25, indicating that in general, text interventions have a positive effect on reducing substance use behaviors. Results are discussed in the context of prevention opportunities and recommendations for future text messaging intervention research.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In several studies to reduce alcohol use among college students, participants who received tailored text messages were more likely to report a reduction in alcohol consumption and an increased awareness to manage drinking behaviors [49–51].”
From Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial (2017) · cites this paper as [49]
In the citing paper
“While there is a growing body of evidence supporting that DMHIs can have significant small-to-moderate effects on alleviating or preventing symptoms of mental health disorders (6–10)”
From Effect of Engagement With Digital Interventions on Mental Health Outcomes: A Systematic Review and Meta-Analysis (2021) · cites this paper as [8]
Citations
Cites
1 retracted
Gauze and tape and transparent polyurethane dressings for central venous catheters
Webster, J., Gillies, D. M., O'Riordan, E., Sherriff, K. L., & Rickard, C. M. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003827.pub2 · Cited by 141
RetractedStatistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Distribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695
Cochrane Database of Systematic Reviews
Lyons, R. (2006) · Progress in Neurology and Psychiatry · doi:10.1002/pnp.208 · Cited by 1,907
(2016) · Wiley eBooks · doi:10.1002/9781119000822 · Cited by 1,154
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub4 · Cited by 1,079 · cited 1×
“In a recent meta-analysis of five studies, mobile phone interventions aimed at tobacco cessation increased the long-term quit rates of adult smokers significantly when compared to control programs (Whittaker et al. 2012).”
BackgroundHealth behavior models in the age of mobile interventions: are our theories up to the task?
Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0021-7 · Cited by 978
Review of risk and protective factors of substance use and problem use in emerging adulthood
Stone, A. L., Becker, L. G., Huber, A. M., & Catalano, R. F. (2012) · Addictive Behaviors · doi:10.1016/j.addbeh.2012.02.014 · Cited by 843
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732
Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W., Rodgers, A., Cairns, J., Kenward, M. G., & Roberts, I. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60701-0 · Cited by 728
Quinn, C. C., Shardell, M. D., Terrin, M. L., Barr, E. A., Ballew, S. H., & Gruber-Baldini, A. L. (2011) · Diabetes Care · doi:10.2337/dc11-0366 · Cited by 650
The guide to community preventive services
Kleinman, D. V. (2002) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(02)00436-1 · Cited by 441
Life Skills Training: Empirical Findings and Future Directions
Botvin, G. J., & Griffin, K. W. (2004) · The Journal of Primary Prevention · doi:10.1023/b:jopp.0000042391.58573.5b · Cited by 436
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H. J., Bullen, C., Borland, R., Rodgers, A., & Gu, Y. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub3 · Cited by 410
Happy Ending: a randomized controlled trial of a digital multi‐media smoking cessation intervention
Brendryen, H., & Kraft, P. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02119.x · Cited by 292
Guide to Community Preventive Services
Wasserman, M. P. (2001) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00301-9 · Cited by 286
Winterfeld, A. (2012) · PubMed · Cited by 254
Whittaker, R., Dorey, E., Bramley, D. M., Bullen, C., Denny, S., Elley, C. R., Maddison, R., McRobbie, H. J., Parag, V., Rodgers, A., et al. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1553 · Cited by 201
Suffoletto, B. P., Callaway, C. W., Kristan, J., Kraemer, K. L., & Clark, D. B. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01646.x · Cited by 190
Txt2stop: a pilot randomised controlled trial of mobile phone-based smoking cessation support
Free, C., Whittaker, R., Knight, R., Abramsky, T., Rodgers, A., & Roberts, I. G. (2009) · Tobacco Control · doi:10.1136/tc.2008.026146 · Cited by 181
Bacigalupo, R., Cudd, P., Littlewood, C., Bissell, P., Hawley, M., & Woods, H. B. (2012) · Obesity Reviews · doi:10.1111/obr.12006 · Cited by 157
Newman, M. G., Szkodny, L. E., Llera, S. J., & Przeworski, A. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.10.002 · Cited by 139
Naughton, F., Prevost, A. T., Gilbert, H. M., & Sutton, S. R. (2012) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntr254 · Cited by 135
Haug, S., Schaub, M. P., Venzin, V., Meyer, C., & John, U. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2636 · Cited by 122
Continuous individual support of smoking cessation using text messaging: A pilot experimental study
Haug, S., Meyer, C., Schorr, G., Bauer, S., & John, U. (2009) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntp084 · Cited by 121
Ybarra, M. L., Holtrop, J. S., Prescott, T. L., Rahbar, M. H., & Strong, D. R. (2013) · Nicotine & Tobacco Research · doi:10.1093/ntr/nts339 · Cited by 94
Hester, R. K., Delaney, H. D., & Campbell, W. P. (2011) · Psychology of Addictive Behaviors · doi:10.1037/a0024753 · Cited by 86
Text Messaging to Increase Readiness to Change Alcohol Use in College Students
Mason, M. J., Benotsch, E. G., Way, T., Kim, H., & Snipes, D. J. (2013) · The Journal of Primary Prevention · doi:10.1007/s10935-013-0329-9 · Cited by 84
Self-citationSloboda, Z., & Petras, H. (2014) · Springer eBooks · doi:10.1007/978-1-4899-7424-2 · Cited by 84
Population‐level effects of automated smoking cessation help programs: a randomized controlled trial
Borland, R., Balmford, J., & Benda, P. J. (2012) · Addiction · doi:10.1111/j.1360-0443.2012.04091.x · Cited by 72
The use of emerging technologies in alcohol treatment.
Cunningham, J. A., Kypri, K., & McCambridge, J. (2011) · Europe PMC (PubMed Central) · Cited by 57
Smith, A. (2011) · Issue Lab (Candid) · Cited by 51
Moore, S., Crompton, K., van Goozen, S. H. M., van den Bree, M. B. M., Bunney, J., & Lydall, E. S. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1011 · Cited by 50
Fagan, A. A., Arthur, M. W., Hanson, K., Briney, J. S., & Hawkins, J. D. (2011) · Prevention Science · doi:10.1007/s11121-011-0226-5 · Cited by 46
A Pilot Study Testing SMS Text Delivered Scheduled Gradual Reduction to Pregnant Smokers
Pollak, K. I., Lyna, P. R., Bilheimer, A. K., Farrell, D. W., Gao, X., Swamy, G. K., & Fish, L. J. (2013) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntt045 · Cited by 44
Perceived Mental Health Treatment Need and Substance Use Correlates Among Young Adults
Mason, M. J., Keyser‐Marcus, L., Snipes, D. J., Benotsch, E. G., & Sood, B. (2013) · Psychiatric Services · doi:10.1176/appi.ps.201200159 · Cited by 25
Self-citationSpecial Considerations for Young Adults and Older Adolescents
Bleyer, W. A., & Albritton, K. H. (2003) · Cited by 2
Research works printed but not linked: 1
- Substance Abuse and Mental Health Services Administration (SAMHSA). (2012). Results from the 2011 national survey on drug use and health: Summary of national findings. Rockville: SAMHSA. NSDUH Series H-44, HHS Publication No. [SMA] 12–4713.
Cited by
Sorted by citations
Prevention, early intervention, harm reduction, and treatment of substance use in young people
Stockings, E., Hall, W. D., Lynskey, M., Morley, K. I., Reavley, N., Strang, J., Patton, G., & Degenhardt, L. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00002-x · Cited by 433
Research Review: What have we learned about adolescent substance use?
Gray, K. M., & Squeglia, L. M. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12783 · Cited by 383
Gan, D. Z. Q., McGillivray, L., Han, J., Christensen, H., & Torok, M. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.764079 · Cited by 305
A systematic review of smartphone applications for smoking cessation
Haskins, B. L., Lesperance, D., Gibbons, P. W., & Boudreaux, E. D. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-017-0492-2 · Cited by 229
Preventive Health Behavior Change Text Message Interventions: A Meta-analysis
Armanasco, A. A., Miller, Y. D., Fjeldsoe, B. S., & Marshall, A. L. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.10.042 · Cited by 210
Metadata
- Authors
- Mason, M., Ola, B., Zaharakis, N., & Zhang, J.
- Affiliations
- Virginia Commonwealth University (US)
- Corresponding author
- Mason, Michael
- Venue
- Prevention Science
- Published
- 2014-06-17
- Volume
- 16
- Issue
- 2
- Pages
- 181-188
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- OpenAlex
- W2063806270
- Cited by
- 160
- References
- 41
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 11 · 2023: 9 · 2022: 16 · 2021: 19 · 2020: 22 · 2019: 9 · 2018: 21 · 2017: 15 · 2016: 14 · 2015: 7 · 2014: 3
- FWCI
- 1.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Prevention Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- text messaging intervention, adolescent substance use, young adult substance use, tobacco cessation, alcohol cessation, substance use prevention, mobile health, smoking cessation, alcohol consumption reduction
- MeSH terms
- Adolescent, Adult, Humans, Substance-Related Disorders, Young Adult, Text Messaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review