Evidence map›Paper›PMID 30994464›Full record

ArticleJournal of medical Internet research2019

Comparison of Smartphone Ownership, Social Media Use, and Willingness to Use Digital Interventions Between Generation Z and Millennials in the Treatment of Substance Use: Cross-Sectional Questionnaire Study.

Brenda L Curtis, Robert D Ashford, Katherine I Magnuson, Stacy R Ryan-Pettes

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
21.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  15. AI-based analysis of social media language predicts addiction treatment dropout at 90 days.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Brenda L Curtis *Psychology-Addictions Treatment Research Center, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-2511-3322
Robert D Ashford *Psychology-Addictions Treatment Research Center, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-3979-1754
Katherine I Magnuson *Department of Psychology and Neuroscience, Baylor University, Waco, TX, United States.ORCID 0000-0002-3356-9979
Stacy R Ryan-Pettes *Department of Psychology and Neuroscience, Baylor University, Waco, TX, United States.ORCID 0000-0001-6809-198X
Baylor University · USTreatment Research Institute · USUniversity of the Sciences · US

Funding

Institutional Career Development Core (KL2)KL2TR002646 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI TSEVAT, JOEL · 2018 to 2022
$3.4M
Predicting AOD Relapse and Treatment Completion from Social Media UseR01DA039457 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI UNGAR, LYLE · 2014 to 2016
$1.6M
NCATS NIH HHS KL2 TR002646NIDA NIH HHS R01 DA039457
6 · The paper itself

Abstract

backgroundProblematic substance use in adolescence and emerging adulthood is a significant public health concern in the United States due to high recurrence of use rates and unmet treatment needs coupled with increased use. Consequently, there is a need for both improved service utilization and availability of recovery supports. Given the ubiquitous use of the internet and social media via smartphones, a viable option is to design digital treatments and recovery support services to include internet and social media platforms.

objectiveAlthough digital treatments delivered through social media and the internet are a possibility, it is unclear how interventions using these tools should be tailored for groups with problematic substance use. There is limited research comparing consumer trends of use of social media platforms, use of platform features, and vulnerability of exposure to drug cues online. The goal of this study was to compare digital platforms used among adolescents (Generation Zs, age 13-17) and emerging adults (Millennials, age 18-35) attending outpatient substance use treatment and to examine receptiveness toward these platforms in order to support substance use treatment and recovery.

methodsGeneration Zs and Millennials enrolled in outpatient substance use treatment (n=164) completed a survey examining social media use, digital intervention acceptability, frequency of substance exposure, and substance use experiences. Generation Zs (n=53) completed the survey in July 2018. Millennials (n=111) completed the survey in May 2016.

resultsGeneration Zs had an average age of 15.66 (SD 1.18) years and primarily identified as male (50.9%). Millennials had an average age of 27.66 (SD 5.12) years and also primarily identified as male (75.7%). Most participants owned a social media account (Millennials: 82.0%, Generation Zs: 94.3%) and used it daily (Millennials: 67.6%, Generation Zs: 79.2%); however, Generation Zs were more likely to use Instagram and Snapchat, whereas Millennials were more likely to use Facebook. Further, Generation Zs were more likely to use the features within social media platforms (eg, instant messaging: Millennials: 55.0%, Generation Zs: 79.2%; watching videos: Millennials: 56.8%, Generation Zs: 81.1%). Many participants observed drug cues on social media (Millennials: 67.5%, Generation Zs: 71.7%). However, fewer observed recovery information on social media (Millennials: 30.6%, Generation Zs: 34.0%). Participants felt that social media (Millennials: 55.0%, Generation Zs: 49.1%), a mobile phone app (Millennials: 36.9%, Generation Zs: 45.3%), texting (Millennials: 28.8%, Generation Zs: 45.3%), or a website (Millennials: 39.6%, Generation Zs: 32.1%) would be useful in delivering recovery support.

conclusionsGiven the high rates of exposure to drug cues on social media, disseminating recovery support within a social media platform may be the ideal just-in-time intervention needed to decrease the rates of recurrent drug use. However, our results suggest that cross-platform solutions capable of transcending generational preferences are necessary and one-size-fits-all digital interventions should be avoided.

Indexed as

AdolescentAdultCell PhoneCross-Sectional StudiesFemaleHumansMaleMotivationSmartphoneSocial MediaSubstance-Related DisordersUnited StatesYoung Adultsocial media, mHealth, substance use treatment, digital health, recoverysocial networking sitessubstance use disorder

Identifiers

PMID30994464
PMCPMC6492066
OpenAlexW2912855891

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.