Evidence map›Paper›PMID 28120250›Full record

ArticleJournal of abnormal child psychology2017

Substance Use Disorders in Adolescence Exist along Continua: Taxometric Evidence in an Epidemiological Sample.

Richard T Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of abnormal child psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. Annales medico-psychologiques · 2021
    Article
  4. Preliminary validation of the Yale Food Addiction Scale for Children 2.0: A dimensional approach to scoring.European eating disorders review : the journal of the Eating Disorders Association · 2018
    Article
  5. Progress in achieving quantitative classification of psychopathology.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2018
    Article
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

1 author at 1 institution in 1 country.

Richard T LiuDepartment of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Bradley Hospital, 1011 Veterans Memorial Parkway, East Providence, RI, 02915, USA. rtliupsych@gmail.com.
Brown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A longstanding nosological question in the clinical literature is whether substance use disorders (SUDs) are best conceptualized as categorical or dimensional phenomena. Taxometric analysis is a statistical approach uniquely developed to address this issue. To date, no taxometric studies have been conducted with SUDs in adolescents. The current taxometric study investigated the latent structure of SUDs in adolescents for four different substances: marijuana, analgesics, hallucinogens, and inhalants. Interview-derived data for DSM-IV SUD symptoms were drawn from the National Survey on Drug Use and Health, pooled across the years 2004 to 2013 (unweighted n = 181,573; 48.92% female). Two mathematically non-redundant taxometric methods (MAMBAC [mean above minus below a cut] and MAXEIG [maximum eigenvalue]) were conducted with the data for respondents who had used the substance under study at least once in the past 12 months, or on 5 separate days in the case of marijuana (unweighted ns = 4900 to 17,517). Consistent evidence emerged in support of a dimensional solution across the analyses for all four substances (mean comparison curve fit index = 0.129 to 0.301). The current findings are consistent with the view of SUDs in adolescents as continuous syndromes rather than discrete entities. These findings are also consistent with theoretical conceptualizations of SUDs as having multi-causal etiologies, and have implications for current diagnostic conceptualizations of SUDs.

Indexed as

AdolescentAnalgesicsDiagnostic and Statistical Manual of Mental DisordersDrug UsersFemaleHallucinogensHealth SurveysHumansInhalant AbuseMaleMarijuana AbuseSubstance-Related DisordersAnalgesicsHallucinogensAdolescenceClassificationSubstance abuseSubstance dependenceTaxometrics

Identifiers

PMID28120250
OpenAlexW2582164976

What OpenQuestion holds

Textmetadata
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.