Identifying Barriers to Entering Smoking Cessation Treatment Among Socioeconomically Disadvantaged Smokers

Identifying Barriers to Entering Smoking Cessation Treatment Among Socioeconomically Disadvantaged Smokers
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DOI:
10.1375/jsc.5.2.164
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发表时间:
2010-12-01
影响因子:
0.9
通讯作者:
Carney, Colleen E.
Carney, Colleen E.
中科院分区:
其他
文献类型:
--
作者:
Copeland, Amy L.;Businelle, Michael S.;Carney, Colleen E.

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背景:有效的戒烟干预措施已经存在,但很少有吸烟者利用可用的资源,如心理社会治疗计划和药物治疗。本研究的目的是(1)确定社会经济上处于不利地位的吸烟者在戒烟干预中的代表性不足,从而认识到参加戒烟治疗计划的障碍;(2)确定在预测所确定的障碍中最重要的变量(即年龄、性别、种族、收入、尼古丁依赖程度、吸烟率、吸烟年限、变化阶段、吸烟相关疾病的存在和医疗保险状况)。方法:收集2004-2005年社会经济上处于不利地位的吸烟者(N=343)的回答,并对其进行分析,以制定治疗障碍问卷,该问卷由40个项目组成,衡量不参加戒烟计划的原因。研究方法由路易斯安那州立大学机构审查委员会批准;采用知情同意程序。结果:主成分分析得到7个量表,分别为:(1)戒烟准备;(2)工作和时间限制;(3)吸烟者可以或应该自行戒烟;(4)对专业援助的意见;(5)行动限制;(6)保险限制;(7)关于专业援助的错误信息。在回归分析中,性别、种族、每日吸烟率、尼古丁依赖和变化阶段是显著的预测因素,量表1,F(10,201)=7.83,p<.001,R-2=.29,2 F(10,201)=2.30,p&t;.05,R-2=.11,3,F(10,201)=3.58,p<.001,R-2=.16。结论:结果可以为促进吸烟者进入和保留戒烟计划的努力提供依据。
Background: Efficacious smoking cessation interventions exist, yet few smokers utilise available resources such as psychosocial treatment programs and pharmacotherapy. The goals of the present study were to (1) identify perceived barriers to entering smoking cessation treatment programs among socioeconomically disadvantaged smokers, who are presently underrepresented in smoking cessation interventions; (2) determine what variables are most important in predicting the barriers identified (i.e., age, gender, ethnicity, income, nicotine dependence level, smoking rate, years smoking, stage of change, presence of smoking-related illness and medical insurance status). Methods: Responses from socioeconomically disadvantaged smokers (N = 343) were collected in 2004-2005 and analysed to develop the Treatment Barriers Questionnaire, a 40-item measure of reasons for not entering smoking cessation programs. Study methods were approved by the Institutional Review Board of Louisiana State University; informed consent procedures were employed. Results: Principal components analysis yielded seven scales named for their theme: (1) Preparedness to Quit Smoking; (2) Work and Time Constraints; (3) Smokers Can or Should Quit on Own; (4) Opinions about Professional Assistance; (5) Mobility Limitations; (6) Insurance Limitations and (7) Misinformation about Professional Assistance. Gender, ethnicity, daily smoking rate, nicotine dependence and stage of change were significant predictors in regression analyses for scales 1, F(10, 201) = 7.83, p < .001, R-2 = .29, 2 F(10, 201) = 2.30, p < .05, R-2 = .11, and 3, F(10, 201) = 3.58, p < .001, R-2 = .16. Conclusions: Results can inform efforts to facilitate entry and retention of smokers in cessation programs.