Evidence map›Paper›PMID 22936953›Full record

ArticleJournal of smoking cessation2012

Gender Differences in the Fagerström Test for Nicotine Dependence in Korean Americans.

Sun S Kim, Hua Fang, Joseph Difranza, Douglas M Ziedonis, Grace X Ma

Open access · greenAbstract read
In one paragraph

Article in Journal of smoking cessation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Nicotine Dependence and Factors Related to Smoking Cessation among Physicians in Estonia.International journal of environmental research and public health · 2020
    Article
  6. eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2018
    Article
  7. Article
  8. Article
  9. Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors at 2 institutions in 1 country.

Sun S KimUniversity of Massachusetts Medical School, Department of Psychiatry, USA.
Hua Fang
Joseph Difranza
Douglas M Ziedonis
Grace X Ma
University of Massachusetts Chan Medical School · USTemple College · US

Funding

UNIVERSITY OF MASSACHUSETTS CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031982 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$6.8M
Tobacco Dependence Treatments for Asian AmericansK23DA021243 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIM, SUN SEOG · 2009 to 2013
$827k
NCRR NIH HHS UL1 RR031982NIDA NIH HHS K23 DA021243
6 · The paper itself

Abstract

introductionThis study was conducted to compare gender differences in the psychometric properties of the Fagerström Test for Nicotine Dependence (FTND).

methodsThe sample comprised 334 Korean immigrants (97 women and 237 men) who reported daily smoking for the past six months. Item-by-item responses and exploratory factor analyses (EFA) were compared by gender. Promax rotation was selected based on findings from previous studies suggesting correlated factors.

resultsCompared with men, women smoked fewer cigarettes per day, were more likely to smoke when ill in bed, and were less likely to smoke frequently in the morning. The entire sample and men within the sample had the same factor loading pattern, where three items (time to first cigarette, the cigarette most hate to give up, and smoke more frequently in the morning) were loaded on Factor 1 (morning smoking) and the remaining three items (difficult to refrain from smoking in public places, number of cigarettes smoked per day, and smoking even when ill in bed) on Factor 2 (daytime smoking). For women, however, neither the 1- nor 2-factor model fit the data well.

conclusionsFor Korean American male smokers, the psychometric properties of the FTND were similar to those seen in other populations, but this was not the case with Korean American women. Clinicians may need to modify their interpretation of nicotine dependence severity if basing only on the FTND with Korean Women. The FTND assesses smoking patterns which has a cultural influence and other measures of nicotine dependence should be considered.

Identifiers

PMID22936953
PMCPMC3427942
OpenAlexW2167406263

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.