Evidence map›Paper›PMID 35531964›Full record

ArticleEvaluation & the health professions2022

Psychosocial Indicators of Adolescent Alcohol, Cigarette, and Marijuana Use: An Analysis of Normalized, Harmonized, and Pooled Data.

William B Hansen, Santiago Saldana, Edward Hak-Sing Ip

Abstract read
In one paragraph

Article in Evaluation & the health professions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

3 authors.

William B HansenPrevention Strategies, Brown Summit, NC, USA.ORCID 0000-0002-0970-8000
Santiago SaldanaDepartment of Public Health Sciences, 12280Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Edward Hak-Sing IpDepartment of Public Health Sciences, 12280Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Funding

An Integrative Approach to Control Group Creation for Prevention ResearchR44AA024657 · NIAAA · PREVENTION STRATEGIES, LLC · PI HANSEN, WILLIAM B. · 2018 to 2019
$1.0M
An Integrative Approach to Control Group Creation for Prevention ResearchR43AA024657 · NIAAA · PREVENTION STRATEGIES, LLC · PI HANSEN, WILLIAM B. · 2016 to 2016
$270k
Prototype for an online skills-based drug prevention program targeting youth 11-13R43DA053837 · NIDA · PREVENTION STRATEGIES, LLC · PI HANSEN, WILLIAM B., SCHEIER, LAWRENCE MATTHEW · 2021 to 2021
$256k
NIAAA NIH HHS R43 AA024657NIAAA NIH HHS R44 AA024657NIDA NIH HHS R43 DA053837
6 · The paper itself

Abstract

We normalized, harmonized, and pooled 344,429 surveys collected from 106,470 research participants from 25 research studies that assessed past 30-day alcohol use, drunkenness, smoking cigarettes, using marijuana, and a host of psychosocial variables. After normalizing and harmonizing psychosocial measures, we completed analyses to examine the ability of psychosocial variables to serve as proxy indicators of use. Intentionality, peer descriptive normative beliefs, and age emerged as being of primary importance in indicating use. Additional variables - peer injunctive norms, beliefs about the positive and negative consequences of use, and attitudes - were also demonstrated to have the potential to serve as proxies in the assessment of substance use risk. There were developmental patterns in how intentionality and descriptive normative beliefs changed with age. Young adolescents had scores that are protective; they have positive intentionality and do not see the prevalence of alcohol and other drug use as widespread. These and other psychosocial variable's mean scores generally erode with age while the distribution of scores widens as youth grow older. The goal of analyses was to define age-related psychosocial profiles that can be used prospectively to estimate substance use risk. These profiles are useful in creating virtual control cases for evaluating disseminated prevention programs.

Indexed as

Marijuana SmokingMarijuana UseSubstance-Related DisordersTobacco ProductsAdolescentAlcohol DrinkingHumansadolescentalcoholcigarettesdevelopmental trendsdrunkennessmarijuanapsychosocial constructs

Identifiers

PMID35531964
PMCPMC9633369

What OpenQuestion holds

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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.