This application is submitted in response to NIAAA's program announcement, Behavioral &Integrative Treatment Development Program, PA-10-013 and is consistent with NIH's recent interest in developing adaptive mobile interventions. The proposed development study entitled, Tailored Mobile Text Messaging to Reduce Problem Drinking is designed to develop and test a tailored adaptive text messaging/short message service (SMS) intervention for individuals interested in stopping or reducing their alcool consumption. Excessive alcohol consumption is a serious personal and public health issue and economic problem to society. Despite the significant consequences of problem drinking (PD), most persons with alcohol problems never seek formal treatment. While the emergence of internet based interventions (IBIs) has expanded access and brief intervention opportunities to problem drinkers, traditional IBIs suffer from high attrition, limited ability to proactively meet individuals where PD occurs and adapt to real-time needs. Recent evidence from smoking cessation studies highlight that SMS interventions may provide the needed reinforcement to help individuals enhance self-regulation and reduce problem alcohol use when they need it most in their natural environment. Moreover, because PD typically has regular episodic patterns, tailored interactive designs may be particularly effective. This study is designed to develop and test an interactive adaptive mobile messaging intervention for PD, which includes messages tailored to baseline assessment results (including drinking times) that are adaptive to ongoing drinking patterns and goal achievement via interactive ecological momentary assessment (EMA). Other features include participant initiated help messaging and support network alerts. We will conduct beta research with 40 problem drinkers to assess messaging preferences and acceptability, and then conduct a pilot test with 10 PDs. In Stage 1b, we aim to test this intervention and understand the mechanisms of action of different text messaging interventions with 200 problem drinkers over a 12-week period. We propose to compare four types of messaging: 1) Tailored content and timed messaging adaptive to the participants current state (Stage 1a intervention)~ 2) Tailored content messaging (not adaptive or timed) sent at 3 pm every day~ 3) Untailored consequence based messages sent at 3 pm every day~ and 4) Brief feedback and EMA only. Assessments will be completed at baseline, through weekly EMA via SMS and at week 12 via a web-based follow-up assessment. Primary outcomes include drinks per drinking day, days of heavy drinking, and average drinks per week as measured through weekly EMA. Additional outcomes will include drinking related consequences, goal commitment and intervention satisfaction. Outcomes will be used to modify the intervention and to prepare for a larger Stage 1c RCT.

Public Health Relevance

Excessive alcohol consumption has serious personal and public health consequences. Internet based interventions for problem drinking have proven mildly effective but have limited ability to help individuals maintain changes. Tex messaging interventions can support individuals proactively and be tailored to an individual's current state with real-time interactive features. We propose to create an adaptive tex messaging intervention to reduce alcohol consumption and related problems and test whether tailored adaptive messaging is superior to untailored messaging in a randomized controlled trial. This intervention could be easily disseminated and potentially improve long-term psychosocial and health outcomes for problem drinkers.

National Institute of Health (NIH)
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Planning Grant (R34)
Project #
Application #
Study Section
Health Services Research Review Subcommittee (AA)
Program Officer
Zha, Wenxing
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
New York State Psychiatric Institute
New York
United States
Zip Code
Han, Maozhen; Gong, Yanhai; Zhou, Chunyu et al. (2016) Comparison and Interpretation of Taxonomical Structure of Bacterial Communities in Two Types of Lakes on Yun-Gui plateau of China. Sci Rep 6:30616
Wang, Wei; Jiang, Cheng; Zhang, Jinmai et al. (2016) Dynamics Correlation Network for Allosteric Switching of PreQ1 Riboswitch. Sci Rep 6:31005
Chen, Jiahuan; Zhou, Qian; Wang, Yangfan et al. (2016) Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research. Sci Rep 6:34420
Zhang, Jin-Mai; Jiang, Cheng; Ye, Wei et al. (2016) Allosteric pathways in tetrahydrofolate sensing riboswitch with dynamics correlation network. Mol Biosyst 13:156-164
Liao, Cheng-Heng; Yao, Lili; Xu, Ya et al. (2015) Nitrogen regulator GlnR controls uptake and utilization of non-phosphotransferase-system carbon sources in actinomycetes. Proc Natl Acad Sci U S A 112:15630-5
Wu, Jian; Ye, Wei; Yang, Jingxu et al. (2015) Conformational selection and induced fit for RNA polymerase and RNA/DNA hybrid backtracked recognition. Front Mol Biosci 2:61
Zhang, Houjin; Ning, Kang (2015) The Tara Oceans Project: New Opportunities and Greater Challenges Ahead. Genomics Proteomics Bioinformatics 13:275-7
Muench, Frederick; van Stolk-Cooke, Katherine; Morgenstern, Jon et al. (2014) Understanding messaging preferences to inform development of mobile goal-directed behavioral interventions. J Med Internet Res 16:e14
Xu, Jun-Yu; You, Di; Leng, Pei-Qiang et al. (2014) Allosteric regulation of a protein acetyltransferase in Micromonospora aurantiaca by the amino acids cysteine and arginine. J Biol Chem 289:27034-45