Evidence map›Paper›PMID 26417942›Full record

ArticleAddiction (Abingdon, England)2016

Behavioral associations with waterpipe tobacco smoking dependence among US young adults.

Jaime E Sidani, Ariel Shensa, Saul Shiffman, Galen E Switzer, Brian A Primack

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Latent class analysis of initial nicotine dependence among adult waterpipe smokers.Journal of environmental health science & engineering · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Hookah Susceptibility and Transitions Over the First Year of College.Journal of studies on alcohol and drugs · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Hookah Use and Perceptions among Young Adult Hookah Users.Journal of addictive behaviors, therapy & rehabilitation · 2018
    Article
  18. Article
  19. Article
  20. Initiation, Progression, and Sustained Waterpipe Use: A Nationally Representative Longitudinal Study of U.S. Young Adults.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Jaime E SidaniDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, UPMC Montefiore Hospital, Pittsburgh, PA, USA.
Ariel ShensaDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, UPMC Montefiore Hospital, Pittsburgh, PA, USA.
Saul ShiffmanPinney Associates, Pittsburgh, PA, USA.
Galen E SwitzerCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Brian A PrimackDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, UPMC Montefiore Hospital, Pittsburgh, PA, USA.
University of Pittsburgh · USUPMC Montefiore · USPinney Associates (United States)

Funding

Waterpipe Tobacco Smoking among U.S. Adolescents and Young AdultsR01CA140150 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2010 to 2015
$2.4M
NCI NIH HHS R01 CA140150NCI NIH HHS R01-CA140150
6 · The paper itself

Abstract

BACKGROUND AND

aimsWaterpipe tobacco smoking (WTS) is increasingly prevalent in the United States, especially among young adults. We aimed to (1) adapt items from established dependence measures into a WTS dependence scale for US young adults (the US Waterpipe Dependence Scale), (2) determine the factor structure of the items and (3) assess associations between scale values and behavioral use characteristics known to be linked to dependence.

designCross-sectional survey.

settingUnited States.

participantsA total of 436 past-year waterpipe tobacco users ages 18-30 years selected at random from a national probability-based panel. MEASUREMENTS: Participants responded to six tobacco dependence items adapted for WTS in US populations. Behavioral use characteristics included factors such as frequency of use and age of initiation.

findingsPrincipal components analysis yielded an unambiguous one-factor solution. Approximately half (52.9%) of past-year waterpipe tobacco users received a score of 0, indicating that none of the six WTS dependence items were endorsed. Approximately one-quarter (25.4%) endorsed one dependence item and 22.7% endorsed two or more items. Higher WTS dependence scores were associated significantly with all five behavioral use characteristics. For example, compared with those who endorsed no dependence items, those who endorsed two or more had an adjusted odds ratio (AOR) of 3.90 [95% confidence interval (CI) = 1.56-9.78] for having had earlier age of initiation and an AOR of 32.75 (95% CI = 9.76-109.86) for more frequent WTS sessions.

conclusionsScores on a six-item waterpipe tobacco smoking dependence scale (the US Waterpipe Dependence Scale) correlate with measures that would be expected to be related to dependence, such as amount used and age of initiation.

Indexed as

AdolescentAdultAge DistributionCross-Sectional StudiesFemaleHumansMalePsychiatric Status Rating ScalesRisk-TakingSmokingSocioeconomic FactorsSurveys and QuestionnairesTobacco Use DisorderYoung AdultAddictiondependencehookahmeasurementscaletobaccowaterpipe

Identifiers

PMID26417942
PMCPMC4715762
OpenAlexW2155665703

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.