Hostname: page-component-8448b6f56d-42gr6 Total loading time: 0 Render date: 2024-04-18T23:57:45.539Z Has data issue: false hasContentIssue false

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

Published online by Cambridge University Press:  13 July 2012

Sun S. Kim*
Affiliation:
University of Massachusetts Medical School, Department of Psychiatry, USA
Hua Fang
Affiliation:
University of Massachusetts Medical School, Department of Quantitative Health Sciences, USA
Joseph DiFranza
Affiliation:
University of Massachusetts Medical School, Department of Family Medicine and Community Health, USA
Douglas M. Ziedonis
Affiliation:
University of Massachusetts Medical School, Department of Psychiatry, USA
Grace X. Ma
Affiliation:
Temple University, Department of Public Health, USA
*
Address for correspondence: Sun S. Kim, 365 Plantation Street, Suite 100, Worcester, MA 01652, USA. E-mail: sun.kim@umassmed.edu

Abstract

Introduction: This study was conducted to compare gender differences in the psychometric properties of the Fagerström Test for Nicotine Dependence (FTND). Methods: The sample comprised 334 Korean immigrants (97 women and 237 men) who reported daily smoking for the past 6 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. Results: Compared 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. Conclusions: For 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.

Type
Articles
Copyright
Copyright © The Authors 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Agrawal, A., Scherrer, J.F., Pergadia, M.L., Lynskey, M.T., Madden, P.A., Sartor, C.E., . . . Xian, H. (2011). A latent class analysis of DSM-IV and Fagerström (FTND) criteria for nicotine dependence. Nicotine & Tobacco Research, 13 (10), 972981. doi: 10.1093/ntr/ntr105Google Scholar
Baluja, K.F., Park, J., & Myers, D. (2003). Inclusion of immigrant status in smoking prevalence statistics. American Journal of Public Health, 93 (4), 642646. doi: 10.2105/AJPH.93.4.642CrossRefGoogle ScholarPubMed
Buckley, T.C., Mozley, S.L., Holohan, D.R., Walsh, K., Beckham, J.C., & Kassel, J.D. (2005). A psychometric evaluation of the Fagerström Test for Nicotine Dependence in PTSD smokers. Addictive Behaviors, 30 (5), 10291033. doi: 10.1016/j.addbeh.2004.09.005Google Scholar
Chabrol, H., Niezborala, M., Chastan, E., Montastruc, J.L., & Mullet, E. (2003). A study of the psychometric properties of the Fageström Test for Nicotine Dependence. Addictive Behaviors, 28 (8), 14411445. doi:10.1016/S0306-4603(02)00236-8Google Scholar
de Meneses-Gaya, I.C., Zuardi, A.W., de Azevedo Marques, J.M., Souza, R.M., Loureiro, S.R., & Crippa, J.A. (2009). Psychometric qualities of the Brazilian versions of the Fagerström Test for Nicotine Dependence and the Heaviness of Smoking Index. Nicotine & Tobacco Research, 11 (10), 11601165. doi: 10.1093/ntr/ntp114CrossRefGoogle ScholarPubMed
de Meneses-Gaya, I.C., Zuardi, A.W., Loureiro, S.R., & Crippa, J.A. (2009). Psychometric properties of the Fagerström Test for Nicotine Dependence. Jornal of Brasileiro de Pneumologia, 35 (1), 7382. doi: org/10.1590/S1806-37132009000100011CrossRefGoogle Scholar
DiFranza, J.R., Savageau, J.A., Fletcher, K., Ockene, J.K., Rigotti, N.A., McNeill, A.D., . . . Wood, C. (2002). Measuring the loss of autonomy over nicotine use in adolescents: The development and Assessment of Nicotine Dependence in Youths (DANDY) Study. Archives of Pediatric & Adolescent Medicine, 156 (4), 397403. Retrieved from http://bs7xv3ec2w.search.serialssolutions.com/?sid=Entrez:PubMed&id=pmid:11929376CrossRefGoogle ScholarPubMed
Etter, J.F. (2005). A comparison of the content-, construct- and predictive validity of the cigarette dependence scale and the Fagerström test for nicotine dependence. Drug & Alcohol Dependence, 77 (3), 259268. doi: 10.1016/j.drugalcdep.2004.08.015Google Scholar
Etter, J.F., Duc, T.V., & Perneger, T.V. (1999). Validity of the Fagerstrom Test for Nicotine Dependence and of the Heaviness of Smoking Index among relatively light smokers. Addiction, 94 (2), 269281. doi: 10.1046/j.1360-0443.1999.94226910.xGoogle Scholar
Heatherton, T.F., Kozlowski, L.T., Frecker, R.C., & Fagerström, K.O. (1991). The Fagerstrom Test for Nicotine Dependence: A revision of the Fagerström Tolerance Questionnaire. British Journal of Addiction, 86 (9), 11191127. doi: 10.1111/j.1360-0443.1991.tb01879.xGoogle Scholar
Hu, L.T., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structural analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6 (1), 155. doi: 10.1080/10705519909540118CrossRefGoogle Scholar
Huang, C.L., Lin, H.H., & Wang, H.H. (2006). The psychometric properties of the Chinese version of the Fagerström Test for Nicotine Dependence. Addictive Behaviors, 31 (12), 23242327. doi: 10.1111/j.1365-2648.2006.03951.xCrossRefGoogle ScholarPubMed
Jhanjee, S., & Sethi, H. (2010). The Fagerström test for nicotine dependence in an Indian sample of daily smokers with poly drug use. Nicotine & Tobacco Research, 12 (11), 11621166. doi: 10.1007/BF02310555CrossRefGoogle Scholar
Kim, S.S., Son, H., & Nam, K.A. (2005). The sociocultural context of Korean American men's smoking behavior. Western Journal Nursing Research, 27 (5), 604–23. doi: 10.1177/0193945905276258Google Scholar
Kim, S.S., Kim, S., & Ziedonis, D. (2012). Tobacco dependence treatment for Korean Americans: Preliminary findings. Journal of Immigrant & Minority Health, 14 (3), 395404. doi: 10.1007/s10903-011-9507-0Google Scholar
Kim, S.S., Ziedonis, D., & Chen, K.W. (2007). Tobacco use and dependence in Asian Americans: A review of the literature. Nicotine & Tobacco Research, 9 (2), 169184. doi: 10.1080/14622200601080323CrossRefGoogle ScholarPubMed
Muthén, B. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49, 115132. doi: 10.1007/BF02294210CrossRefGoogle Scholar
Muthén, B., du Toit, S.H.C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes. Technical Report. Retrieved from http://pages.gseis.ucla.edu/faculty/muthen/articles/Article_075.pdfGoogle Scholar
Muthén, L., & Muthén, B. (2011). Mplus user's manual. Los Angeles, CA: Muthén & Muthén.Google Scholar
Park, S.M., Son, K.Y., Lee, Y.J., Lee, H.C., Kang, J.H., Chang, Y.J., . . . Yun, Y.H. (2004). A preliminary investigation of early smoking initiation and nicotine dependence in Korean adults. Drug & Alcohol Dependence, 74 (2), 197203. doi: 10.1016/j.drugalcdep.2004.01.001Google Scholar
Radzius, A., Epstein, D.H., Gorelick, D.A., Cadet, J. L., Uhl, G. E., & Gallo, J.J., (2003). A factor analysis of the Fagerström Test for Nicotine Dependence (FTND). Nicotine & Tobacco Research, 5 (2), 255–240. doi: 10.1080/1462220031000073289CrossRefGoogle ScholarPubMed
Raykov, T. (1997a). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21, 173184. doi: 10.1177/01466216970212006Google Scholar
Raykov, T. (1997b). Scale reliability, Cronbach's coefficient alpha, and violations of essential tau-equivalence with fixed congeneric components. Multivariate Behavioral Research, 32, 329353. doi: 10.1207/s15327906mbr3204Google Scholar
Richardson, C.G., & Ratner, P.A. (2005). A confirmatory factor analysis of the Fagerström Test for Nicotine Dependence. Addictive Behaviors, 30 (4), 697709. doi: 10.1016/j.addbeh.2004.08.015CrossRefGoogle ScholarPubMed
Schroeder, J.R., & Moolchan, E.T. (2007). Ethnic differences among adolescents seeking smoking cessation treatment: A structural analysis of responses on the Fagerström Test for Nicotine Dependence. Nicotine & Tobacco Research, 9 (1), 137145. doi: 10.1080/14622200601078400Google Scholar
Tabachnick, B.G., & Fidell, L.S. (2001). Using multivariate statistics. Boston: Allyn and Bacon.Google Scholar
Wellman, R.J., Savageau, J.A., Godiwala, S., Savageau, N., Friedman, K., Hazelton, J., & DiFranza, J.R. (2006). A comparison of the Hooked on Nicotine Checklist and the Fagerström Test for Nicotine Dependence in adult smokers. Nicotine & Tobacco Research, 8 (4), 575580. doi: 10.1080/14622200600789965Google Scholar
Yamada, H., Acton, G.S., & Tsoh, J.Y. (2009). Differential item functioning of the English and Chinese versions of the Fagerström Test for Nicotine Dependence. Addictive Behaviors, 34 (2), 125133. doi: 10.1016/j.addbeh.2008.09.003Google Scholar
Yang, T., Shiffman, S., Rockett, I. R., Cui, X., & Cao, R. (2011). Nicotine dependence among Chinese city dwellers: A population-based cross-sectional study. Nicotine & Tobacco Research, 13 (7), 556564. doi: 10.1093/ntr/ntr040Google Scholar