Race and gender moderation of the relationship between cessation beliefs and intentions: Is race or gender message segmentation necessary in anti-smoking campaigns?

Health Education Research

Volumn 28, Issue 5, 2013, Pages 857-868

  Parvanta, S ^a   Gibson, L ^a   Moldovan Johnson, M ^b   Mallya, G ^c   Hornik, R C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b Nebraska Department of Health and Human Services   (United States)

^c PHILADELPHIA DEPARTMENT OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AFRICAN AMERICAN; ARTICLE; ATTITUDE TO HEALTH; BEHAVIOR; CAUCASIAN; ETHNOLOGY; FEMALE; HEALTH PROMOTION; HUMAN; MALE; MIDDLE AGED; PERSUASIVE COMMUNICATION; PSYCHOLOGICAL ASPECT; SELF REPORT; SEX DIFFERENCE; SMOKING CESSATION; UNITED STATES;

ADULT; AFRICAN AMERICANS; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HEALTH PROMOTION; HUMANS; INTENTION; MALE; MIDDLE AGED; PENNSYLVANIA; PERSUASIVE COMMUNICATION; SELF REPORT; SEX FACTORS; SMOKING CESSATION;

EID: 84884488331     PISSN: 02681153     EISSN: 14653648     Source Type: Journal    
DOI: 10.1093/her/cyt067     Document Type: Article

References (44)

1. Centers for Disease Control and Prevention. Adult cigarette smoking in the United States: current estimate, 2012. Available at: http://www.cdc.gov/ tobacco/data-statistics/fact-sheets/adult-data/cig-smoking/. Accessed: 15 May 2013.
2. Perkins KA, Scott J. Sex differences in long-term smoking cessation rates due to nicotine patch. Nicotine Tob Res 2008; 10: 1245-50.
3. Jarvis MJ, Cohen JE, Delnevo CD et al. Dispelling myths about gender differences in smoking cessation: population data from the USA, Canada and Britain. Tob Control 2012; doi:10.1136/tobaccocontrol-2011-050279 (30 May 2012).
4. Reimer RA, Gerrard M, Gibbons FX. Racial disparities in smoking knowledge among current smokers: data from the health information national trends surveys. Psychol Health 2010; 25: 943-59.
5. Royce JM, Hymowitz N, Corbett K et al. Smoking cessation factors among African Americans and whites. COMMIT Research Group. Am J Public Health 1993; 83: 220-6. (Pubitemid 23046480)
6. Vander Martin R, Cummings SR, Coates TJ. Ethnicity and smoking: differences in white, black, Hispanic, and Asian medical patients who smoke. Am J Prev Med 1990; 6: 194-9. (Pubitemid 20333479)
7. FioreMC, Novotny TE, Pierce JP et al. Methods used to quit smoking in the United States: Do cessation programs help? JAMA 1990; 263: 2760-5. (Pubitemid 20181569)
8. Haiman CA, Stram DO, Wilkens LR et al. Ethnic and racial differences in the smoking-related risk of lung cancer. New Engl J Med 2006; 354: 333-42. (Pubitemid 43145058)
9. United States Department of Health and Human Services. Tobacco Use Among U.S. Racial/Ethnic Minority Groups-African Americans, American Indians and Alaska Natives, Asian Americans and Pacific Islanders, and Hispanics: A Report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 1998.
10. National Cancer Institute. The Role of the Media in Promoting and Reducing Tobacco Use, Tobacco Control Monograph No.
11. Bethesda, MD: U.S. Department of Health and Human Services, National Institutes of Health, National Cancer Institute. NIH Pub. No. 07-6242, June 2008.
12. Institute of Medicine. Speaking of Health: Assessing Health Communication Strategies for Diverse Populations. Washington, D.C.: National Academies Press, 2002.
13. Hornik RC, Ramirez AS. Racial/ethnic disparities and segmentation in communication campaigns. Am Behav Sci 2006; 49: 868-84. (Pubitemid 43170640)
14. Hornik R, Woolf KD. Using cross-sectional surveys to plan message strategies. Soc Market Q 1999; 5: 34-41.
15. Fishbein M, Ajzen I. Predicting and Changing Behavior: The Reasoned Action Approach. 1st edn. New York: Psychology Press Taylor & Francis Group, 2010.
16. Webb TL, Sheeran P. Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychol Bull 2006; 132: 249-68. (Pubitemid 43439928)
17. Hyland A, Borland R, Li Q et al. Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey. Tob Control 2006; 15(Suppl. 3): iii83-94.
18. Zhou X, Nonnemaker J, Sherrill B et al. Attempts to quit smoking and relapse: factors associated with success or failure from the ATTEMPT cohort study. Addict Behav 2009; 34: 365-73.
19. Fishbein M, Cappella JN. The role of theory in developing effective health communications. J Commun 2006; 56(s1): S1-17.
20. Cappella JN, Fishbein M, Hornik RC et al. Using theory to select messages in anti-drug campaigns: reasoned action and media priming. In: Rice R, Atkin C (eds). Public Communication Campaigns. Thousand Oaks, CA: Sage Publications, 2001, 214-30.
21. Fishbein M, Yzer MC. Using theory to design effective health behavior interventions. Commun Theor 2003; 13: 164-83. (Pubitemid 37084658)
22. McKee SA, O?Malley SS, Salovey P et al. Perceived risks and benefits of smoking cessation: gender-specific predictors of motivation and treatment outcome. Addict Behav 2005; 30: 423-35. (Pubitemid 40249397)
23. Weinberger AH, Mazure CM, McKee SA. Perceived risks and benefits of quitting smoking in non-treatment seekers. Addiction Res Theor 2010; 18: 456-63.
24. Philadelphia Department of Public Health. 2012 Tobacco Annual Report. Philadelphia, PA: Philadelphia Department of Public Health, 2012. Available at: http://www.phila.gov/health/pdfs/TobaccoAnnualReport.pdf. Accessed: 15 May 2013.
25. The American Association for Public Opinion Research. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 4th edn. Lenexa, KS: AAPOR, 2006.
26. American Association for Public Opinion Research Cell Phone Task Force. New Considerations for Survey Researchers When Planning and Conducting RDD Telephone Surveys in the U.S. with Respondents Reached via Cell Phone Numbers. AAPOR 2010. Available at: http://www.aapor.org/Cell-Phone-Task-Force-Report.htm. Accessed: 15 May 2013.
27. Wong NCH, Cappella JN. Antismoking threat and efficacy appeals: effects on smoking cessation intentions for smokers with low and high readiness to quit. J Appl Commun Res 2009; 37: 1-20.
28. Cappella JN. The role of discrete emotions in the theory of reasoned action and its successors: quitting smoking in young adults. In: Ajzen I, Albarracin D, Hornik R (eds). Prediction and Change of Health Behavior: Applying the Reasoned Action Approach. Mahwah, NJ: Lawrence Erlbaum, 2007, 43-51.
29. Strasser AA, Cappella JN, Jepson C et al. Experimental evaluation of antitobacco PSAs: effects of message content and format on physiological and behavioral outcomes. Nicotine Tob Res 2009; 11: 293-302.
30. Heatherton TF, Kozlowski LT, Frecker RC et al. The Fagerstro?m test for nicotine dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict 1991; 86: 1119-27.
31. Hymowitz N, Cummings K, Hyland A et al. Predictors of smoking cessation in a cohort of adult smokers followed for five years. Tob Control 1997; 6(Suppl. 2): S57-62.
32. Orleans CT, Schoenbach VJ, Salmon MA et al. A survey of smoking and quitting patterns among black Americans. Am J Public Health 1989; 79: 176.
33. Siahpush M, McNeill A, Borland R et al. Socioeconomic variations in nicotine dependence, self-efficacy, and intention to quit across four countries: findings from the International Tobacco Control (ITC) Four Country Survey. Tob Control 2006; 15(Suppl. 3): iii71-5.
34. StataCorp. Stata Statistical Software: Release
35. College Station, TX: StataCorp LP, 2011.
36. Muthén LK, Muthén BO. Mplus User?s Guide. 6th edn. Los Angeles, CA: Muthén & Muthén, 1998.
37. Jaccard JJ, Turrisi R. Interaction Effects in Multiple Regression. 2nd edn. Thousand Oaks, CA: Sage, 2003.
38. Public Health Management Corporation?s Community Health Data Base. Southeastern Pennsylvania Household Health Survey, 2008. Available at: http://www.chdbdata.org.
39. Enders C, Bandalos D. The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Struct Equ Modeling 2001; 8: 430-57.
40. Newman DA. Longitudinal modeling with randomly and systematically missing data: a simulation of ad hoc, maximum likelihood, and multiple imputation techniques. Organ Res Methods 2003; 6: 328-62.
41. Durkin S, Brennan E, Wakefield M. Mass media campaigns to promote smoking cessation among adults: an integrative review. Tob Control 2012; 21: 127-38.
42. Palinkas LA, Pierce J, Rosbrook BP et al. Cigarette smoking behavior and beliefs of Hispanics in California. Am J Prev Med 1993; 9: 331-7. (Pubitemid 24016460)
43. Tharp-Taylor S, Fryer CS, ShadelWG. Targeting anti-smoking messages: does audience race matter? Addict Behav 2012; 37: 844-7.
44. ViswanathK. Public communications and its role in reducing and eliminating health disparities. In: Gerald E. Thomson, Mitchell F, Williams M (eds). Examining the Health Disparities Research Plan of the National Institutes of Health: Unfinished Business. Washington, D.C.: Institute of Medicine, 2006, 215-253.