Evidence map›Paper›PMID 39303082›Full record

ArticleJournal of American college health : J of ACH2025

Trajectories of hookah use among young adult college students in Texas, 2014-2019.

Bara S Bataineh, Anna V Wilkinson, C Nathan Marti, Alexandra Loukas

Abstract read
In one paragraph

Article in Journal of American college health : J of ACH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bara S BatainehUTHealth Houston School of Public Health, Dallas, Texas, USA.ORCID 0000-0001-9505-3807
Anna V WilkinsonUTHealth Houston School of Public Health, Austin, Texas, USA.
C Nathan MartiDepartment of Kinesiology and Health Education, University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-6743-8512
Alexandra LoukasDepartment of Kinesiology and Health Education, University of Texas at Austin, Austin, Texas, USA.

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
NCI NIH HHS P50 CA180906NCI NIH HHS R01 CA249883
6 · The paper itself

Abstract

The purpose of the study was to examine trajectories in hookah use behaviors across young adulthood and socio-demographic correlates of the trajectories. Data were drawn from Project M-PACT for the years 2014-2019. Participants were 5,220 college students aged 18 to 25 years at baseline. Growth curve models with an accelerated design were fit to examine four hookah use trajectories across ages 18 to 30, adjusted for covariates. Prevalence of current hookah use decreased between 2014 and 2019, from 17% to 7% and the frequency of use decreased by almost one day a month. Trajectories of hookah use alone and concurrent with cigarettes or with e-cigarettes also decreased as students increased in age. Current hookah users were likely to be young, male, racial/ethnic minority, and attending a four-year college. Observed disparities among hookah users have implications, in particular regarding the role of social context, race, and ethnicity, in tailoring smoking interventions.

Indexed as

Smoking Water PipesStudentsAdolescentAdultFemaleHumansMalePrevalenceSmokingTexasUniversitiesYoung Adultcollege studentsdisparitiesHookah usetrajectoriesyoung adult

Identifiers

PMID39303082
PMCPMC12690643

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.