ArticleJournal of prevention (2022)2022
The Influence of Risk and Protective Factors on Adolescent Alcohol, Cannabis, and Electronic Cigarette Use.
Article in Journal of prevention (2022), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Justice System Involvement As a Risk Factor for Substance Use Into Mid-Thirties.Journal of drug issues · 2025Article
- Vaping health perceptions and never vaping among Australian adolescents: a strength-based analysis of cross-sectional survey data.BMJ public health · 2025Article
- Two-part models identifying predictors of cigarette, e-cigarette, and cannabis use and change in use over time among young adults in the US.The American journal on addictions · 2024Article
- Risk and protective factors associated with substance use among Puerto Rican youths after Hurricane María: a cross-sectional study.BMC public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The misuse of substances by adolescents is a serious public health concern in the United States, and the three most used substances by adolescents are alcohol, cannabis, and electronic cigarettes. In accordance with the Social Development Model, a better understanding of the risk and protective factors across these three substances can assist in predicting potential substance use as well as strategies for prevention. The purpose of the current study is to examine the similar or differential influence that a specific set of risk and protective factors (i.e., favorable attitudes toward substance use, perceived risk of harm, peer substance use, interaction with prosocial peers, parental favorable attitudes toward substance use, family management, perceived availability substances, and rewards for prosocial involvement) have on past 30-day alcohol, cannabis, and e-cigarette use by adolescents. The present study is based on a secondary data analysis of the 2019 Prevention Needs Assessment Survey, which is administered every two years in the State of Utah to a large sample of students in grades 6, 8, 10, and 12 grades. A subsample of students (n = 44,728) was included in the present analysis. Logistic regression was used to examine the predictive relation for the set of four risk and four protective factors on past 30-day use of alcohol, cannabis, and e-cigarette use. In general, the results indicated that endorsement of the four risk factors predicted increases in the use of each substance whereas endorsement of the four protective factors predicted decreases in use. Implications of these findings suggest that there may be more similarities in risk and protective factors across alcohol, cannabis, and electronic cigarettes than between them. In addition, this study adds to the budding literature on the risk and protective factors associated with adolescent e-cigarette use.
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Registered trials
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.