Evidence map›Paper›PMID 26864269›Full record

ArticleJournal of community health2016

A Latent Class Analysis of Smokeless Tobacco Use in the United States.

Qiang Fu, Michael G Vaughn

Abstract read
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In one paragraph

Article in Journal of community health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Big Data's Role in Precision Public Health.Frontiers in public health · 2018
    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

2 authors.

Qiang FuDepartment of Biostatistics, College for Public Health and Social Justice, Saint Louis University, Salus Center, 3545 Lafayette Avenue, St. Louis, MO, 63104, USA. qjfu@slu.edu.
Michael G VaughnSchool of Social Work and Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St. Louis, MO, 63104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there has been an escalating trend in the number of smokeless tobacco uses, mainly snuff, in the United States, it is unclear whether smokeless tobacco users are a homogenous class. The present investigation examines this question and identifies subtypes of smokeless tobacco users in order to better understand the characteristics of these individuals and guide appropriate intervention. Data on smokeless tobacco users (N = 2504) derived from the National Epidemiologic Survey on Alcohol and Related Conditions was employed. A range of antisocial behaviors, from reflecting non-violent deviant acts, irresponsibility, and a disengaged lifestyle, to aggression and violence were used to estimate the number of subtypes of smokeless tobacco users using latent class analysis. Four latent classes emerged: Normative Class (50.2 %), Deviant Class (21.9 %), Disengaging Class (17.2 %), and Antisocial Class (10.5 %). Logistic regression shows that major depression, alcohol use disorder, and marijuana use disorder were associated with Deviant Class (OR's from 2.0 to 10.5). The same array of psychiatric disorders and general anxiety disorder were associated with greater odds of membership in the Disengaging Class (OR's from 2.6 to 7.4). Aforementioned psychiatric disorders and illicit drug use disorder were associated with the Antisocial Class (OR's from 3.8 to 38.1). Findings indicate that smokeless tobacco users are a heterogeneous population that may benefit from differential intervention strategies.

Indexed as

AdolescentAdultAntisocial Personality DisorderCross-Sectional StudiesFemaleHumansMajor Depressive DisorderMaleSubstance-Related DisordersTobacco, SmokelessTobacco Use DisorderUnited StatesYoung AdultLatent class analysisPsychiatric comorbiditiesSmokeless tobacco use

Identifiers

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Registered trials

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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.