Heatherton T F, Kozlowski L T, Frecker R C, Rickert W, Robinson J
Br J Addict. 1989 Jul;84(7):791-9. doi: 10.1111/j.1360-0443.1989.tb03059.x.
Two simple self-report measures have been used to assess the heaviness of smoking, 'number of cigarettes per day' (CPD) and 'time to the first cigarette of the day' (TTF). Little attention, however, has been given to the precise method of scoring this information. Using biochemical indicators of heaviness of smoking (alveolar carbon monoxide and cotinine), we explore the optimum data transformations for regression analysis and categorical analysis. We suggest a four category scoring scheme for both time to the first cigarette of the day (less than or equal to 5, 6-30, 31-60 and 61+ min) and average daily consumption of cigarettes (1-10, 11-20, 21-30, 31+ cigarettes) as the most powerful and practical categorical scoring of these variables. Due to possible ceiling effects on biochemical measures, we suggest using logarithmic transformations of CPD or TTF for regression or correlation analyses.
两种简单的自我报告测量方法已被用于评估吸烟量,即“每日吸烟支数”(CPD)和“每天第一支烟的时间”(TTF)。然而,对于这些信息的精确评分方法却很少有人关注。我们使用吸烟量的生化指标(肺泡一氧化碳和可替宁),探索用于回归分析和分类分析的最佳数据转换方法。我们建议对每天第一支烟的时间(小于或等于5、6 - 30、31 - 60和61分钟以上)和每日平均吸烟量(1 - 10、11 - 20、21 - 30、31支以上)采用四类评分方案,作为对这些变量最有效且实用的分类评分。由于生化测量可能存在天花板效应,我们建议在回归或相关性分析中对CPD或TTF进行对数转换。