Literature DB >> 18065163

Test of measurement invariance of the FTND across demographic groups: assessment, effect size, and prediction of cessation.

Eric O Johnson1, Antonio A Morgan-Lopez, Naomi Breslau, Dorothy K Hatsukami, Laura J Bierut.   

Abstract

BACKGROUND: Measurement non-invariance of the Fagerstrom test for nicotine dependence (FTND) across demographic groups could significantly bias group comparisons and screening for recruitment into treatment and genetic studies. Here clinically meaningful bias in the FTND across European-American and African-American men and women was assessed by: (1) testing measurement invariance; (2) estimating effect sizes of non-invariance; and (3) assessing impact of adjusting for bias on the association between FTND and cessation.
METHODS: European-American and African-American current and former smokers (n=8301) were identified from a community-based telephone screening of 25,265 individuals from metropolitan Detroit, MI and St. Louis, MO. The FTND was administered to measure current dependence and lifetime dependence when smoking the most. Cessation was measured as having smoked 100 or more cigarettes but not smoked in the past 30 days.
RESULTS: Statistically significant measurement non-invariance for the FTND was found and more pronounced for lifetime than current dependence. However, the magnitude of effects appeared negligible. The largest variance in item response explained by measurement non-invariance was 3.1%. Adjusting for measurement non-invariance made no difference in the associations between nicotine dependence and quitting smoking across groups.
CONCLUSIONS: Although European-American and African-American men and women often report different scores on the FTND and have different response patterns to items on the FTND, it does not appear that such differences result from meaningful item-level measurement bias.

Entities:  

Mesh:

Year:  2007        PMID: 18065163     DOI: 10.1016/j.drugalcdep.2007.10.001

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  11 in total

1.  CHRNB3 is more strongly associated with Fagerström test for cigarette dependence-based nicotine dependence than cigarettes per day: phenotype definition changes genome-wide association studies results.

Authors:  John P Rice; Sarah M Hartz; Arpana Agrawal; Laura Almasy; Siiri Bennett; Naomi Breslau; Kathleen K Bucholz; Kimberly F Doheny; Howard J Edenberg; Alison M Goate; Victor Hesselbrock; William B Howells; Eric O Johnson; John Kramer; Robert F Krueger; Samuel Kuperman; Cathy Laurie; Teri A Manolio; Rosalind J Neuman; John I Nurnberger; Bernice Porjesz; Elizabeth Pugh; Erin M Ramos; Nancy Saccone; Scott Saccone; Marc Schuckit; Laura J Bierut
Journal:  Addiction       Date:  2012-06-15       Impact factor: 6.526

2.  Is the Fagerström test for nicotine dependence invariant across secular trends in smoking? A question for cross-birth cohort analysis of nicotine dependence.

Authors:  Cristie Glasheen; Eric O Johnson; Nancy L Saccone; Sharon M Lutz; Timothy B Baker; Daniel W McNeil; Mary L Marazita; John E Hokanson; Laura J Bierut; Dana B Hancock
Journal:  Drug Alcohol Depend       Date:  2018-02-06       Impact factor: 4.492

3.  Personalized smoking cessation: interactions between nicotine dose, dependence and quit-success genotype score.

Authors:  Jed E Rose; Frédérique M Behm; Tomas Drgon; Catherine Johnson; George R Uhl
Journal:  Mol Med       Date:  2010-03-17       Impact factor: 6.354

4.  Gender Differences in the Association between Marijuana and Menthol Cigarette Use among African American Adult Cigarette Smokers.

Authors:  LaTrice Montgomery; Monica Webb Hooper
Journal:  Subst Use Misuse       Date:  2020-04-07       Impact factor: 2.164

5.  An item response theory analysis of nicotine dependence symptoms in recent onset adolescent smokers.

Authors:  Jennifer S Rose; Lisa C Dierker
Journal:  Drug Alcohol Depend       Date:  2010-03-16       Impact factor: 4.492

6.  Integrative Data Analysis of Gender and Ethnic Measurement Invariance in Nicotine Dependence Symptoms.

Authors:  Jennifer S Rose; Lisa C Dierker; Arielle S Selya; Philip H Smith
Journal:  Prev Sci       Date:  2018-08

7.  Nicotinic receptor gene variants influence susceptibility to heavy smoking.

Authors:  Victoria L Stevens; Laura J Bierut; Jeffrey T Talbot; Jen C Wang; Juzhong Sun; Anthony L Hinrichs; Michael J Thun; Alison Goate; Eugenia E Calle
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11-24       Impact factor: 4.254

8.  Racial disparities in intensity of smoke exposure and nicotine intake among low-dependence smokers.

Authors:  Jolie T K Ho; Rachel F Tyndale; Timothy B Baker; Christopher I Amos; Ami Chiu; Nina Smock; Jingling Chen; Laura J Bierut; Li-Shiun Chen
Journal:  Drug Alcohol Depend       Date:  2021-02-18       Impact factor: 4.492

9.  Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10-Pulmonary Function Association.

Authors:  Jiayi Xu; Nathan C Gaddis; Traci M Bartz; Ruixue Hou; Ani W Manichaikul; Nathan Pankratz; Albert V Smith; Fangui Sun; Natalie Terzikhan; Christina A Markunas; Bonnie K Patchen; Matthew Schu; May A Beydoun; Guy G Brusselle; Gudny Eiriksdottir; Xia Zhou; Alexis C Wood; Mariaelisa Graff; Tamara B Harris; M Arfan Ikram; David R Jacobs; Lenore J Launer; Rozenn N Lemaitre; George T O'Connor; Elizabeth C Oelsner; Bruce M Psaty; Ramachandran S Vasan; Rebecca R Rohde; Stephen S Rich; Jerome I Rotter; Sudha Seshadri; Lewis J Smith; Henning Tiemeier; Michael Y Tsai; André G Uitterlinden; V Saroja Voruganti; Hanfei Xu; Nuno R Zilhão; Myriam Fornage; M Carola Zillikens; Stephanie J London; R Graham Barr; Josée Dupuis; Sina A Gharib; Vilmundur Gudnason; Lies Lahousse; Kari E North; Lyn M Steffen; Patricia A Cassano; Dana B Hancock
Journal:  Am J Respir Crit Care Med       Date:  2019-03-01       Impact factor: 30.528

Review 10.  Crucial roles of the CHRNB3-CHRNA6 gene cluster on chromosome 8 in nicotine dependence: update and subjects for future research.

Authors:  L Wen; Z Yang; W Cui; M D Li
Journal:  Transl Psychiatry       Date:  2016-06-21       Impact factor: 6.222

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.