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Age and pre quit-day attrition during smoking cessation treatment
Cognitive Behaviour Therapy ( IF 4.3 ) Pub Date : 2020-04-28 , DOI: 10.1080/16506073.2020.1751262
Haley E Conroy 1 , Jolene Jacquart 2 , Scarlett O Baird 3 , David Rosenfield 4 , Michelle L Davis 5 , Mark B Powers 2, 6 , Georita M Frierson 7 , Bess H Marcus 8 , Michael W Otto 9 , Michael J Zvolensky 1, 10 , Jasper A J Smits 2
Affiliation  

ABSTRACT The present study aimed to replicate the finding that younger age predicts higher pre quit-day attrition. Our second aim was to explain this relation by examining empirically and theoretically informed age-related risk factors for low smoking cessation treatment engagement. 136 participants (M age = 44.2 years, SD = 11.3 years; age = 22–64 years) were randomized to 15-weeks of either 1) an exercise intervention (n = 72) or 2) a wellness education control condition (n = 64). First, a logistic regression analysis was employed to test whether younger adults were more likely than older adults to drop prior to quit date. Next, we assessed whether smoking related health concerns, social expectancies, and/or perceived severity of craving affected the strength of the relation between age and attrition, by adding these three variables to the logistic regression along with age. The logistic regression model indicated that younger age and treatment condition were significantly related to the odds of dropping from treatment prior to the scheduled quit date. Further, health concerns, social expectancies, and/or perceived severity of cravings did not account for the effect of age on pre quit-day attrition. These findings highlight the importance of identifying empirically and theoretically informed variables associated with the pre quit-day attrition problem of young smokers.

中文翻译:


戒烟治疗期间的年龄和戒烟前日减员



摘要 本研究旨在重复这一发现,即年龄越小,戒烟前的流失率越高。我们的第二个目标是通过从经验和理论上检验戒烟治疗参与度低的年龄相关风险因素来解释这种关系。 136 名参与者(M 年龄 = 44.2 岁,SD = 11.3 岁;年龄 = 22-64 岁)被随机分配接受为期 15 周的 1)运动干预(n = 72)或 2)健康教育控制条件(n = 64)。首先,采用逻辑回归分析来测试年轻人是否比老年人更有可能在戒烟日期之前戒烟。接下来,我们通过将这三个变量与年龄一起添加到逻辑回归中,评估了吸烟相关的健康问题、社会期望和/或烟瘾的感知严重程度是否影响年龄和自然流失之间的关系强度。逻辑回归模型表明,年龄较小和治疗条件与在预定戒烟日期之前退出治疗的几率显着相关。此外,健康问题、社会期望和/或对渴望的严重程度并不能解释年龄对戒烟日前流失的影响。这些发现强调了确定与年轻吸烟者戒烟前减员问题相关的经验和理论变量的重要性。
更新日期:2020-04-28
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