Literature DB >> 12796232

Characteristics of African American teenage smokers who request cessation treatment: implications for addressing health disparities.

Eric T Moolchan1, Ivan Berlin, Miqun L Robinson, Jean Lud Cadet.   

Abstract

BACKGROUND: Ethnoracial disparities in both tobacco-related mortality and treatment outcome for smoking cessation have been reported among adults, but there is a dearth of information on ethnoracial differences among adolescent smokers.
OBJECTIVE: To compare smoking-related characteristics in African American and non-African American teenaged applicants for a smoking cessation trial. PARTICIPANTS, DESIGN, AND
SETTING: Four hundred thirty-two teenaged smokers (mean [SD] age, 15.6 [1.5] years; 61.8%, female; 31.9%, African American) responded via telephone to various media advertisements. Self-reported sociodemographic, smoking-related, and clinical data were obtained to determine preeligibility for trial participation. MAIN OUTCOME MEASURES: The number of cigarettes smoked per day, Fagerström Test for Nicotine Dependence (FTND) score, motivation to quit, self-reported health problems, and medication use.
RESULTS: Compared with non-African Americans, African Americans had lower FTND scores (mean [SD] score, 5.31 [2.24] vs 6.18 [2.18]; P<.01), and smoked fewer cigarettes per day (mean [SD] number of cigarettes, 12.6 [8.3] vs 15.4 [7.5] cigarettes/d; P<.04). The FTND scores were similar in both groups when adjusted for the number of cigarettes smoked per day. African American and non-African American teenagers reported similar motivation to quit (mean [SD] score, 8.64 [1.68] vs 8.53 [1.59], respectively). No difference was found in frequency of physical health problems (eg, asthma), diagnosed psychiatric conditions, or prescribed psychiatric medication although fewer African American teenaged smokers took medication for physical problems (21.2% vs 36.7%).
CONCLUSIONS: Cessation treatment interventions designed for African American youths should include lower FTND-defined levels, or the use of other instruments that do not focus on the number of cigarettes smoked per day. Our findings also highlight the importance of ethnocultural issues in treatment research that aims to address health disparities.

Entities:  

Mesh:

Year:  2003        PMID: 12796232     DOI: 10.1001/archpedi.157.6.533

Source DB:  PubMed          Journal:  Arch Pediatr Adolesc Med        ISSN: 1072-4710


  12 in total

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2.  Socioeconomic disparities in telephone-based treatment of tobacco dependence.

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Journal:  Am J Public Health       Date:  2014-06-12       Impact factor: 9.308

3.  Preventing relapse to smoking with transcranial magnetic stimulation: Feasibility and potential efficacy.

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4.  Effectiveness of adding relapse prevention materials to telephone counseling.

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Journal:  J Subst Abuse Treat       Date:  2010-07

5.  Socioeconomic disparities in community-based treatment of tobacco dependence.

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6.  Smoking relapse risk is increased among individuals in recovery.

Authors:  Amanda J Quisenberry; Jami Pittman; Renee D Goodwin; Warren K Bickel; Giordano D'Urso; Christine E Sheffer
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7.  Improving tobacco dependence treatment outcomes for smokers of lower socioeconomic status: A randomized clinical trial.

Authors:  Christine E Sheffer; Warren K Bickel; Christopher T Franck; Luana Panissidi; Jami C Pittman; Helen Stayna; Shenell Evans
Journal:  Drug Alcohol Depend       Date:  2017-10-12       Impact factor: 4.492

8.  To smoke or not to smoke: Does delay discounting affect the proximal choice to smoke?

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9.  Heart rate and blood pressure responses to tobacco smoking among African-American adolescents.

Authors:  Eric T Moolchan; Darrell L Hudson; Jennifer R Schroeder; Shelley S Sehnert
Journal:  J Natl Med Assoc       Date:  2004-06       Impact factor: 1.798

10.  In-person and telephone treatment of tobacco dependence: a comparison of treatment outcomes and participant characteristics.

Authors:  Christine Sheffer; Maxine Stitzer; Reid Landes; S Laney Brackman; Tiffany Munn
Journal:  Am J Public Health       Date:  2013-06-13       Impact factor: 9.308

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