Assari Shervin, Barsha Rifath Ara Alam, Egboluche Chidubem, Sheikhattari Payam
Charles R Drew University of Medicine and Science, Los Angeles, CA, USA.
University of Mississippi Medical Center, MS, USA.
Glob J Cardiovasc Dis. 2025;4(1). doi: 10.31586/gjcd.2025.1246. Epub 2025 Feb 19.
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.
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.
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.
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, < 0.05). Women were significantly less likely to quit compared to men (AOR = 0.24, < 0.01). Participants with a greater number of cardiometabolic risk conditions were more likely to quit (AOR = 1.93, < 0.05), while those with higher levels of depression had lower odds of quitting (AOR = 0.61, < 0.05). Menthol tobacco users were also less likely to quit (AOR = 0.10, < 0.05). Interestingly, individuals who used other forms of tobacco in addition to cigarettes had increased odds of quitting (AOR = 2.86, < 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.
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.
在低收入和少数族裔人群中,烟草使用率仍然过高。CEASE项目采用自助、混合/在线和面对面等方式,已证明在促进戒烟方面具有成效。然而,这些群体中参与者成功戒烟的预测因素仍不明确。
确定CEASE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、行为和心理社会因素。
参与者被分配到三个干预组:自助组、CEASE混合/在线组和CEASE面对面组。分析基线特征,包括人口统计学(如年龄、性别)、社会经济地位(如教育程度、就业情况)、物质使用情况(如每周香烟包数、其他烟草产品的使用、薄荷醇烟草的使用)、身体健康(如总体健康状况、心血管代谢风险状况数量)、心理健康(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。使用多变量逻辑回归模型来确定与成功戒烟相关的因素,并对研究组进行控制。
除了研究组外,性别、基线抑郁、心血管代谢状况、烟草口味和其他烟草产品的使用是戒烟成功的显著预测因素。接受面对面干预的个体戒烟几率显著更高(调整后比值比[AOR]=3.79,P<0.05)。与男性相比,女性戒烟的可能性显著更低(AOR=0.24,P<0.01)。心血管代谢风险状况较多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,除香烟外还使用其他形式烟草的个体戒烟几率增加(AOR=2.86,P<0.05)。没有其他因素,包括人口统计学变量(如年龄)、社会经济地位(如教育程度、婚姻状况)、物质使用情况(如每周香烟包数、使用尼古丁替代疗法)或尼古丁依赖,是戒烟成功的显著预测因素。
基线自我报告的焦虑/抑郁和抑郁症状在降低CEASE项目中低收入和少数族裔参与者成功戒烟的可能性方面起着关键作用。这些发现强调了将心理健康挑战作为戒烟干预措施的一部分加以解决以提高其效果的重要性。未来的研究应探索将心理健康支持纳入戒烟项目的针对性策略,以改善弱势群体的结果。