使用时间线追踪和在寻求治疗的吸烟者中使用数字日记收集的可比吸烟消费数据
Yong Cui1, Jason D Robinson1, George Kypriotakis1
1Department of Behavioral Science, University of Texas MD Anderson Cancer Center.
概括
时间线后续访谈和数字日记显示,试图戒烟的吸烟者每日吸烟量 (CPD) 数据相似. 数字日记通过减少数字偏差提供更高的精度,与时间线追溯方法相比.
科学领域:
- 成研究研究成研究
- 行为科学是一种行为科学.
- 公共卫生 公共卫生
背景情况:
- 时间线后续采访 (TLFB) 是评估日常吸烟消费 (CPD) 的标准方法,但容易产生回忆偏差.
- 智能手机上的数字日记 (DD) 为减少CPD评估中召回偏差提供了一个有希望的替代方案.
- 之前对TLFB和DD的比较主要集中在自由自在的吸烟,而不是在戒烟尝试期间.
研究的目的:
- 为了比较TLFB和DD方法的可比性,用于在试图戒烟期间在寻求治疗的吸烟者中测量CPD.
- 在停止条件下,评估TLFB和DD之间的CPD数据中的潜在差异.
主要方法:
- 一个为期12周的戒烟试验,涉及251名正在寻求治疗的吸烟者.
- 通过TLFB和DD方法收集的CPD数据.
- 统计分析包括布兰德-阿尔特曼协议,与生物化学测量相关性分析,数字偏差评估和禁欲预测后勤回归.
主要成果:
- 无论是TLFB和DD方法,无论消费水平如何,在CPD测量中都显示出良好的一致性.
- 两种方法的CPD数据与生化吸烟措施相似相关,并有效预测了6个月的戒烟.
- DD方法显示了较低的数字偏差,表明比TLFB方法更高的精度.
结论:
- 无论是TLFB和DD方法,在评估积极试图戒烟的吸烟者时,都提供了可比的CPD数据.
- 数字日记可能提供一种更精确的方法来捕捉戒烟期间的吸烟行为,因为减少了数字偏差.
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