Evidence map›Paper›PMID 28747857›Full record

ArticleTobacco induced diseases2017

Acculturation, Depression, and Smoking Cessation: a trajectory pattern recognition approach.

Sun S Kim, Hua Fang, Kunsook Bernstein, Zhaoyang Zhang, Joseph DiFranza, Douglas Ziedonis, Jeroan Allison

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01091363 (A Randomized Controlled Clinical Trial of a Combination of Pharmacotherapy and Culturally Tailored Cognitive Behavior Therapy With Korean Americans), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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.

NCT01091363 nacompletednot on this map

A Randomized Controlled Clinical Trial of a Combination of Pharmacotherapy and Culturally Tailored Cognitive Behavior Therapy With Korean Americans

TypeinterventionalSponsorUniversity of Massachusetts, BostonRan2009 to 2014Enrolled109ConditionsTobacco DependenceArmsStandard, Deep Cultural
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural Network.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2024
    Article
  3. Article
  4. Article
  5. 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
  6. 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

7 authors at 1 institution in 1 country.

Sun S KimUniversity of Massachusetts, Boston, Boston, MA 02125 USA.
Hua FangUniversity of Massachusetts Dartmouth and Medical School Dartmouth, Dartmouth, MA 02747 USA.
Kunsook BernsteinHunter College, City University of New York, New York, New York 10010 USA.
Zhaoyang ZhangUniversity of Massachusetts Dartmouth and Medical School Dartmouth, Dartmouth, MA 02747 USA.
Joseph DiFranzaUniversity of Massachusetts Dartmouth and Medical School Dartmouth, Dartmouth, MA 02747 USA.
Douglas ZiedonisUniversity of California San Diego, Deparetment of Psychiatry, 9500 Gilman Drive #0602, La Jolla, CA 92093-0602 USA.
Jeroan AllisonUniversity of Massachusetts Dartmouth and Medical School Dartmouth, Dartmouth, MA 02747 USA.
University of Massachusetts Dartmouth · US

Funding

University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
Tobacco Dependence Treatments for Asian AmericansK23DA021243 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KIM, SUN SEOG · 2009 to 2013
$827k
DISC: Describe Smoking Cessation in RCT Multi-Component Behavioral InterventionR01DA033323 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FANG, HUA · 2013 to 2015
$701k
NCATS NIH HHS UL1 TR000161NIDA NIH HHS K23 DA021243NIDA NIH HHS R01 DA033323
6 · The paper itself

Abstract

backgroundKorean Americans are known for a high smoking prevalence within the Asian American population. This study examined the effects of acculturation and depression on Korean Americans' smoking cessation and abstinence.

methodsThis is a secondary data analysis of a smoking cessation study that implemented eight weekly individualized counseling sessions of a culturally adapted cessation intervention for the treatment arm and a standard cognitive behavioral therapy for the comparison arm. Both arms also received nicotine patches for 8 weeks. A newly developed non-parametric trajectory pattern recognition model (MI-Fuzzy) was used to identify cognitive and behavioral response patterns to a smoking cessation intervention among 97 Korean American smokers (81 men and 16 women).

resultsThree distinctive response patterns were revealed: (a) Culturally Adapted (CA), since all identified members received the culturally adapted intervention; (b) More Bicultural (MB), for having higher scores of bicultural acculturation; and (c) Less Bicultural (LB), for having lower scores of bicultural acculturation. The CA smokers were those from the treatment arm, while MB and LB groups were from the comparison arm. The LB group differed in depression from the CA and MB groups and no difference was found between the CA and MB groups. Although depression did not directly affect 12-month prolonged abstinence, the LB group was most depressed and achieved the lowest rate of abstinence (LB: 1.03%; MB: 5.15%; CA: 21.65%).

conclusionA culturally adaptive intervention should target Korean American smokers with a high level of depression and a low level of biculturalism to assist in their smoking cessation.

trial registrationNCT01091363. Registered 21 March 2010.

Indexed as

AcculturationCulturally adaptive interventionDepressionFuzzy clusteringLongitudinalMIFuzzyMultiple imputationSmoking cessationTrajectory pattern recognition

Identifiers

PMID28747857
PMCPMC5525352
OpenAlexW2737084233

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.