针对低收入种族和少数民族参与者的 CEASE 戒烟对照试验:成功的关键预测因素。

Global journal of cardiovascular diseases Pub Date : 2025-01-01 Epub Date: 2025-02-19 DOI:10.31586/gjcd.2025.1246
Shervin Assari, Rifath Ara Alam Barsha, Chidubem Egboluche, Payam Sheikhattari
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引用次数: 0

摘要

背景:在低收入和少数民族人群中,烟草使用率仍然高得不成比例。戒烟计划以自助、混合/在线和面对面的方式,已证明在促进戒烟方面有效。然而,这些群体参与者成功戒烟的预测因素仍不清楚。目的:确定戒烟项目中低收入和少数族裔参与者成功戒烟的基线预测因素,重点关注人口统计学、社会经济、行为和社会心理因素。方法:参与者被分配到三个干预组:自助、混合/在线和面对面。基线特征,包括人口统计(如年龄、性别)、社会经济地位(如教育、就业)、物质使用概况(如每周香烟包数、使用其他烟草制品、薄荷烟草使用)、身体健康(如一般健康、心脏代谢危险状况的数量)、精神健康(如抑郁症状、感知压力)、感知社会支持和尼古丁依赖,作为戒烟成功的潜在预测因素进行了分析。多变量逻辑回归模型用于确定与戒烟成功相关的因素,控制研究组。结果:除研究组外,性别、基线抑郁、心脏代谢状况、烟草风味和其他烟草制品的使用是戒烟成功的重要预测因素。接受面对面干预的个体戒烟的几率显著高于接受面对面干预的个体(AOR = 3.79, p < 0.05)。女性戒烟的可能性明显低于男性(AOR = 0.24, p < 0.01)。有较多心脏代谢危险状况的参与者更有可能戒烟(AOR = 1.93, p < 0.05),而抑郁程度较高的参与者戒烟的几率较低(AOR = 0.61, p < 0.05)。薄荷醇烟草使用者戒烟的可能性也较低(AOR = 0.10, p < 0.05)。有趣的是,除了香烟外,使用其他形式烟草的人戒烟的几率更高(AOR = 2.86, p < 0.05)。其他因素,包括人口统计学变量(如年龄)、社会经济地位(如教育、婚姻状况)、物质使用情况(如每周卷烟包数、NRT使用)或尼古丁依赖,都不是戒烟成功的显著预测因素。结论:基线自我报告的焦虑/抑郁和抑郁症状在降低戒烟计划中低收入和少数民族参与者成功戒烟的可能性方面起着关键作用。这些发现强调了将应对心理健康挑战作为戒烟干预措施的一部分以提高其有效性的重要性。未来的研究应该探索有针对性的策略,将心理健康支持纳入戒烟计划,以改善服务不足人群的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The CEASE Tobacco Cessation Controlled Trial for Low-Income Racial and Ethnic Minority Participants: Key Predictors of Success.

Background: Tobacco use remains disproportionately high among low-income and racial-ethnic minority populations. The CEASE program, with its self-help, hybrid/online, and in-person modalities, has demonstrated efficacy in promoting tobacco cessation. However, predictors of successful cessation among participants in these groups remain unclear.

Objective: To identify baseline predictors of successful tobacco cessation among low-income and racial-ethnic minority participants in the CEASE program, with a focus on demographic, socioeconomic, behavioral, and psychosocial factors.

Methods: Participants were allocated into three intervention arms: self-help, CEASE hybrid/online, and CEASE in-person. Baseline characteristics, including demographics (e.g., age, gender), socioeconomic status (e.g., education, employment), substance use profiles (e.g., cigarette packs per week, use of other tobacco products, menthol tobacco use), physical health (e.g., general health, number of cardiometabolic risk conditions), mental health (e.g., depressive symptoms, perceived stress), perceived social support, and nicotine dependence, were analyzed as potential predictors of cessation success. Multivariable logistic regression models were used to identify factors associated with successful quitting, controlling for the study arm.

Results: In addition to the study arm, gender, baseline depression, cardiometabolic conditions, tobacco flavor, and the use of other tobacco products were significant predictors of quit success. Individuals receiving in-person interventions had significantly higher odds of quitting (AOR = 3.79, p < 0.05). Women were significantly less likely to quit compared to men (AOR = 0.24, p < 0.01). Participants with a greater number of cardiometabolic risk conditions were more likely to quit (AOR = 1.93, p < 0.05), while those with higher levels of depression had lower odds of quitting (AOR = 0.61, p < 0.05). Menthol tobacco users were also less likely to quit (AOR = 0.10, p < 0.05). Interestingly, individuals who used other forms of tobacco in addition to cigarettes had increased odds of quitting (AOR = 2.86, p < 0.05). No other factors, including demographic variables (e.g., age), socioeconomic status (e.g., education, marital status), substance use profiles (e.g., cigarette packs per week, NRT use), or nicotine dependence, were significant predictors of cessation success.

Conclusion: Baseline self-reported anxiety/depression and depressive symptoms play a critical role in reducing the likelihood of successful tobacco cessation among low-income and racial-ethnic minority participants in the CEASE program. These findings underscore the importance of addressing mental health challenges as part of tobacco cessation interventions to enhance their efficacy. Future research should explore targeted strategies for integrating mental health support into cessation programs to improve outcomes for underserved populations.

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