Evidence map›Paper›PMID 37515895›Full record

ArticleAddictive behaviors2023

Depressive symptoms predict trajectories of electronic delivery nicotine systems, cigarette, and cannabis use across 4.5 years among college students.

C Nathan Marti, Srishty Arora, Alexandra Loukas

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

C Nathan MartiDepartment of Kinesiology & Health Education, University of Texas at Austin, 2700 San Jacinto Blvd. D3700, Austin, TX 78712, USA. Electronic address: nate.marti@utexas.edu.
Srishty AroraDepartment of Kinesiology & Health Education, University of Texas at Austin, 2700 San Jacinto Blvd. D3700, Austin, TX 78712, USA.
Alexandra LoukasDepartment of Kinesiology & Health Education, University of Texas at Austin, 2700 San Jacinto Blvd. D3700, Austin, TX 78712, USA.
The University of Texas at Austin · US

Funding

Training & Education Core p335-350P50CA180906 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PERRY, CHERYL LEE · 2013 to 2017
$19.7M
Depressive Symptoms and Tobacco Use Trajectories and Transitions across Young AdulthoodR01CA249883 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI LOUKAS, ALEXANDRA · 2020 to 2022
$1.2M
FDA HHSNCI NIH HHS P50 CA180906NCI NIH HHS R01 CA249883
6 · The paper itself

Abstract

backgroundThis study examined the role of depressive symptoms on trajectories of electronic nicotine delivery systems (ENDS), cigarette, and cannabis use across 4.5 years in a sample of college students aged 18-19 at the initial study wave.

methodsParticipants were 2,264 students enrolled in one of 24 Texas colleges that participated in a multi-wave study between 2014 and 2019. Latent growth mixture models were fit to identify longitudinal trajectories for past 30-day ENDS, cigarette, and cannabis use over a 4.5-year period. Class membership was regressed on baseline depressive symptoms in multinomial regression models.

resultsFour trajectory classes were identified for each product: abstainer/minimal, decreasing, increasing, and high. Depressive symptoms were associated with a greater likelihood of belonging to the decreasing, increasing, and high trajectory classes relative to the abstainer/minimal class for all products, with the exception of the increasing ENDS class and the decreasing cannabis class. DISCUSSION: The findings demonstrate that there is considerable similarity across trajectories of ENDS, cigarette, and cannabis use during traditional collegiate years. Furthermore, depressive symptoms increased the likelihood of belonging to substance using trajectory classes for all products.

Indexed as

CannabisElectronic Nicotine Delivery SystemsTobacco ProductsDepressionHumansNicotineStudentsNicotineCannabis useDepressive symptomsGrowth mixture modelingNicotine use

Identifiers

PMID37515895
PMCPMC11231635
OpenAlexW4384564347

What OpenQuestion holds

Textmetadata
LicenceTDM
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.