Alex M Russell1, Noel A Vest2, Dana M Litt3. 1. Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR, USA. Electronic address: ar117@uark.edu. 2. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. 3. Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, USA.
Abstract
BACKGROUND: Adolescent exposure to alcohol-related social networking site (SNS) content is associated with their own alcohol use. However, there is a need to better understand the relationship between varying levels of adolescent SNS use and alcohol-related risks. In this study, we sought to identify distinct patterns of SNS use across multiple platforms (Facebook, Instagram, and Snapchat) and to assess associations between those patterns and alcohol use outcomes. METHODS: Data were collected as part of a baseline assessment for a larger longitudinal experimental study. Participants (N = 306, age 15-20) completed measures of demographics, SNS use, and alcohol use. RESULTS: Using latent profile analysis (LPA), three SNS use profiles were empirically derived: low SNS users (27.5%), high frequency, low duration users (47.4%), and high frequency, high duration users (25.2%). Significant differences in daily drinking (F [2, 301] = 3.39, p = 0.035) and AUDIT scores (F [2, 289] = 6.15, p = 0.002) were observed for the three profiles, with members of the high frequency, high duration profile reporting significantly more weekly drinks and higher AUDIT scores when compared to the other two profiles. CONCLUSION: These findings imply that a combination of high frequency and high duration SNS use may place individuals at risk for potentially problematic drinking. Given many clinicians have limited opportunities to delve into their patients' SNS use patterns, results suggest that a simple understanding of frequency and duration of use may provide enough information to indicate who may be at risk.
BACKGROUND: Adolescent exposure to alcohol-related social networking site (SNS) content is associated with their own alcohol use. However, there is a need to better understand the relationship between varying levels of adolescent SNS use and alcohol-related risks. In this study, we sought to identify distinct patterns of SNS use across multiple platforms (Facebook, Instagram, and Snapchat) and to assess associations between those patterns and alcohol use outcomes. METHODS: Data were collected as part of a baseline assessment for a larger longitudinal experimental study. Participants (N = 306, age 15-20) completed measures of demographics, SNS use, and alcohol use. RESULTS: Using latent profile analysis (LPA), three SNS use profiles were empirically derived: low SNS users (27.5%), high frequency, low duration users (47.4%), and high frequency, high duration users (25.2%). Significant differences in daily drinking (F [2, 301] = 3.39, p = 0.035) and AUDIT scores (F [2, 289] = 6.15, p = 0.002) were observed for the three profiles, with members of the high frequency, high duration profile reporting significantly more weekly drinks and higher AUDIT scores when compared to the other two profiles. CONCLUSION: These findings imply that a combination of high frequency and high duration SNS use may place individuals at risk for potentially problematic drinking. Given many clinicians have limited opportunities to delve into their patients' SNS use patterns, results suggest that a simple understanding of frequency and duration of use may provide enough information to indicate who may be at risk.
Authors: Brenda L Curtis; Samantha J Lookatch; Danielle E Ramo; James R McKay; Richard S Feinn; Henry R Kranzler Journal: Alcohol Clin Exp Res Date: 2018-05-22 Impact factor: 3.455
Authors: Alex M Russell; Robert E Davis; Juanybeth M Ortega; Jason B Colditz; Brian Primack; Adam E Barry Journal: J Stud Alcohol Drugs Date: 2021-09 Impact factor: 3.346
Authors: Adam E Barry; Austin M Bates; Olufunto Olusanya; Cystal E Vinal; Emily Martin; Janiene E Peoples; Zachary A Jackson; Shanaisa A Billinger; Aishatu Yusuf; Daunte A Cauley; Javier R Montano Journal: Alcohol Alcohol Date: 2015-11-22 Impact factor: 2.826