NCT04333966

Brief Summary

The prevalence of underage alcohol use continues to be a public health concern. Numerous studies have reported associations between teen drinking tendencies and parental attitudes and beliefs, parental awareness of teen drinking, parental monitoring and the quality of the parent-teen relationship and communication. The extensive work in this area has resulted in parent-based intervention (PBI) efforts to prevent or reduce adolescent alcohol use. Several independent studies have indicated that teens whose parents received a PBI reported less alcohol use and fewer alcohol-related consequences. Despite these strengths, one major limitation of PBI is that they do not currently take into account the large role that social networking sites (SNS) use plays in adolescents' lives and in relation to their alcohol use. Most (90%) adolescents are on SNS, and their Facebook, Instagram, and Twitter profiles include alcohol content. Thus, adolescents are making and exposed to SNS alcohol displays and these displays are associated with high-risk drinking cognitions and alcohol use. As such, the investigators propose to develop and refine an interactive PBI designed to reduce high-risk SNS cognitions (i.e. attitudes and norms), alcohol use, and negative consequences among adolescents. To achieve study aims, the investigators propose an iterative process of focus groups in order to develop and refine the interactive PBI to be delivered in the pilot study with 1 and 6-month follow-up among 100 parent/teen dyads. The objective of this R34 application is to establish feasibility and acceptability of the newly developed interactive PBI that focuses on the role of SNS in adolescent alcohol use as well as to determine preliminary effect sizes for future studies. Determining an efficacious way to reduce alcohol use and high-risk alcohol display cognitions affords future research the opportunity to make use of social network-based interventions, thus the proposed research has great potential to serve as a catalyst for future research.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
202

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Feb 2023

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 30, 2020

Completed
4 days until next milestone

First Posted

Study publicly available on registry

April 3, 2020

Completed
2.8 years until next milestone

Study Start

First participant enrolled

February 1, 2023

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 15, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 15, 2024

Completed
7 months until next milestone

Results Posted

Study results publicly available

October 24, 2024

Completed
Last Updated

October 24, 2024

Status Verified

September 1, 2024

Enrollment Period

1.1 years

First QC Date

March 30, 2020

Results QC Date

July 30, 2024

Last Update Submit

October 22, 2024

Conditions

Outcome Measures

Primary Outcomes (5)

  • Acceptability (Parent)- Program Usefulness

    Percentage of parents in the interactive PBI condition who agreed or strongly agreed that the program was useful

    Data will be collected at 1 month follow-up

  • Acceptability (Parent)- Relationship

    Percentage of parents assigned to Interactive PBI who agreed or strongly agreed that the program helped their relationship with their teen

    Data will be collected at 1 month follow-up

  • Acceptability (Teen)- Relationship

    Percentage of teens assigned to interactive PBI who agreed or strongly agreed that the program helped their relationship with their parent

    Data will be collected at 1 month follow-up

  • Acceptability (Teen)- Percentage Who Would Recommend the Program

    Percentage of teens assigned to the interactive PBI who would recommend the program

    Data will be collected at 1 month follow-up

  • Acceptability (Parent)- Percentage Who Would Recommend the Program

    Percentage of parents assigned to interactive PBI who would recommend the program

    Data will be collected at 1 month follow-up

Secondary Outcomes (6)

  • Drinking Days in Past Month (Teen)

    Data will be collected at 1 month follow-up

  • Drinking Days in Past Month (Teen)

    Data will be collected at 6 month follow-up

  • Communication About Alcohol and Social Media (Parent)

    Data will be collected at 1 month follow-up

  • Communication About Alcohol and Social Media (Parent)

    Data will be collected at 6 month follow-up

  • Communication About Alcohol and Social Media (Teen)

    Data will be collected at 1 month follow-up

  • +1 more secondary outcomes

Study Arms (2)

Interactive PBI

EXPERIMENTAL

Parents in the interactive PBI condition will receive an interactive web-based SNS PBI with text message prompts aimed to reduce adolescent alcohol use and risky cognitions related to alcohol displays on SNS.

Behavioral: Interactive Social Networking Site Parent Based Intervention

Active Control

ACTIVE COMPARATOR

Parents in the active control condition will receive an emailed copy of the Surgeon General's Call toAction: A Guide for Families.

Behavioral: Active Control

Interventions

Parents in the interactive PBI condition will receive an interactive web-based SNS PBI with text message prompts aimed to reduce adolescent alcohol use and risky cognitions related to alcohol displays on SNS.

Interactive PBI
Active ControlBEHAVIORAL

Parents in the active control condition will receive an emailed copy of the Surgeon General's Call to Action: A Guide for Families.

Active Control

Eligibility Criteria

Age15 Years+
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • have a child between the ages of 15-20 who currently lives with them
  • believe that their child is active on at least one SNS
  • live in Texas
  • valid email address
  • own a cell phone with text messaging capabilities and be ok with receiving messages
  • provide valid contact information for their teen
  • and willing to complete a 6 month long pilot study
  • being between the ages of 15-20
  • be active on at least one SNS
  • live in Texas
  • valid email address
  • own a cell phone with text messaging capabilities and be ok with receiving messages
  • and willing to complete a 6 month long pilot study

You may not qualify if:

  • unwillingness to participate
  • failure to provide consent (e.g., declining participation in the study)
  • providing inconsistent responses (e.g., age) identified by the survey and introductory study telephone call
  • and having already participated in the study as identified by overlap or consistency in computer IP addresses, contact information, and demographics.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of North Texas Health Science Center

Fort Worth, Texas, 76107, United States

Location

Related Publications (21)

  • Currie, C. N. G. S., Roberts, C., Morgan, A., Smith, R., Settertobulte, W., Samdal, O., & Barnekow, V. (2012). Health policy for children and adolescents. Copenhagen: WHO Regional Office for Europe, 252.

    BACKGROUND
  • Steinberg, L. (2001). We know some things: Parent-adolescent relationships in retrospect and prospect. Journal of Research on Adolescence, 11(1), 1-19. doi: 10.1111/1532-7795.00001

    BACKGROUND
  • Steinberg L. Clinical adolescent psychology: what it is, and what it needs to be. J Consult Clin Psychol. 2002 Feb;70(1):124-8. doi: 10.1037//0022-006x.70.1.124.

    PMID: 11860038BACKGROUND
  • Turrisi R, Padilla KK, Wiersma KA. College student drinking: an examination of theoretical models of drinking tendencies in freshmen and upperclassmen. J Stud Alcohol. 2000 Jul;61(4):598-602. doi: 10.15288/jsa.2000.61.598.

    PMID: 10928730BACKGROUND
  • Ichiyama MA, Fairlie AM, Wood MD, Turrisi R, Francis DP, Ray AE, Stanger LA. A randomized trial of a parent-based intervention on drinking behavior among incoming college freshmen. J Stud Alcohol Drugs Suppl. 2009 Jul;(16):67-76. doi: 10.15288/jsads.2009.s16.67.

    PMID: 19538914BACKGROUND
  • Turrisi R, Jaccard J, Taki R, Dunnam H, Grimes J. Examination of the short-term efficacy of a parent intervention to reduce college student drinking tendencies. Psychol Addict Behav. 2001 Dec;15(4):366-72. doi: 10.1037//0893-164x.15.4.366.

    PMID: 11767270BACKGROUND
  • Turrisi R, Abar C, Mallett KA, Jaccard J. An Examination of the Mediational Effects of Cognitive and Attitudinal Factors of a Parent Intervention to Reduce College Drinking. J Appl Soc Psychol. 2010 Oct 1;40(10):2500-2526. doi: 10.1111/j.1559-1816.2010.00668.x.

    PMID: 21318080BACKGROUND
  • Lenhart, A. (2015). Teens, Social Media & Technology Overview 2015. Pew Research Center . Retrieved from http://www.pewinternet.org/2015/04/09/teens-social-media-technology-2015/

    BACKGROUND
  • Cavazos-Rehg PA, Krauss MJ, Sowles SJ, Bierut LJ. "Hey Everyone, I'm Drunk." An Evaluation of Drinking-Related Twitter Chatter. J Stud Alcohol Drugs. 2015 Jul;76(4):635-43. doi: 10.15288/jsad.2015.76.635.

    PMID: 26098041BACKGROUND
  • Moreno MA, Parks M, Richardson LP. What are adolescents showing the world about their health risk behaviors on MySpace? MedGenMed. 2007 Oct 11;9(4):9.

    PMID: 18311359BACKGROUND
  • Moreno MA, Parks MR, Zimmerman FJ, Brito TE, Christakis DA. Display of health risk behaviors on MySpace by adolescents: prevalence and associations. Arch Pediatr Adolesc Med. 2009 Jan;163(1):27-34. doi: 10.1001/archpediatrics.2008.528.

    PMID: 19124700BACKGROUND
  • Litt, D. Spiro, E., M., Swanson, A., & Lewis, M. A. (2018). Does Twitter referent matter?: The relationship between self versus other Twitter chatter and alcohol use and consequences among young adults. Manuscript submitted for publication.

    BACKGROUND
  • Litt DM, Stock ML. Adolescent alcohol-related risk cognitions: the roles of social norms and social networking sites. Psychol Addict Behav. 2011 Dec;25(4):708-13. doi: 10.1037/a0024226. Epub 2011 Jun 6.

    PMID: 21644803BACKGROUND
  • Moreno MA, Christakis DA, Egan KG, Brockman LN, Becker T. Associations between displayed alcohol references on Facebook and problem drinking among college students. Arch Pediatr Adolesc Med. 2012 Feb;166(2):157-63. doi: 10.1001/archpediatrics.2011.180. Epub 2011 Oct 3.

    PMID: 21969360BACKGROUND
  • Jiow, H. J., Lim, S. S., & Lin, J. (2016). Level Up! Refreshing Parental Mediation Theory for Our Digital Media Landscape. Communication Theory, 27(3), 309-328. doi:10.1111/comt.12109

    BACKGROUND
  • Kuntsche S, Kuntsche E. Parent-based interventions for preventing or reducing adolescent substance use - A systematic literature review. Clin Psychol Rev. 2016 Apr;45:89-101. doi: 10.1016/j.cpr.2016.02.004. Epub 2016 Mar 23.

    PMID: 27111301BACKGROUND
  • Turrisi R, Mallett KA, Cleveland MJ, Varvil-Weld L, Abar C, Scaglione N, Hultgren B. Evaluation of timing and dosage of a parent-based intervention to minimize college students' alcohol consumption. J Stud Alcohol Drugs. 2013 Jan;74(1):30-40. doi: 10.15288/jsad.2013.74.30.

    PMID: 23200148BACKGROUND
  • Fournier A. K., Hall E., Ricke P., Storey B. (2013). Alcohol and the social network: online social networking sites and college students' perceived drinking norms. Psychol. Popular Media Cult. 2, 86-95. 10.1037/a0032097

    BACKGROUND
  • Jaccard, J. and Levitz, N. (2013). Parent-based interventions to reduce adolescent problem behaviors: New directions for self-regulation approaches In G. Oettingen and P. Gollwitzer (Eds.) Self-regulation in adolescence. New York: Cambridge University Press.

    BACKGROUND
  • Testa M, Hoffman JH, Livingston JA, Turrisi R. Preventing college women's sexual victimization through parent based intervention: a randomized controlled trial. Prev Sci. 2010 Sep;11(3):308-18. doi: 10.1007/s11121-010-0168-3.

    PMID: 20169410BACKGROUND
  • Litt DM, Geusens F, Seamster A, Lewis MA. A Parent-Based Intervention for Reducing High-risk Social Media Cognitions, Alcohol Use, and Negative Consequences Among Adolescents: Protocol for a Randomized Controlled Pilot Study. JMIR Res Protoc. 2022 May 17;11(5):e38543. doi: 10.2196/38543.

MeSH Terms

Conditions

Underage Drinking

Condition Hierarchy (Ancestors)

Adolescent BehaviorBehaviorAlcohol DrinkingDrinking Behavior

Results Point of Contact

Title
Dr. Dana Litt
Organization
University of North Texas Health Science Center

Study Officials

  • Dana M Litt, PhD

    University of North Texas Health Science Center

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 30, 2020

First Posted

April 3, 2020

Study Start

February 1, 2023

Primary Completion

March 15, 2024

Study Completion

March 15, 2024

Last Updated

October 24, 2024

Results First Posted

October 24, 2024

Record last verified: 2024-09

Data Sharing

IPD Sharing
Will not share

A select number of researchers will have access to unidentified participant data at the close of the study.

Locations