Daily smoking patterns, their determinants, and implications for quitting
Daily smoking patterns, their determinants, and implications for quitting
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DOI：
10.1037/1064-1297.15.1.67
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发表时间：
2007-02-01
影响因子：
2.3
通讯作者：
Shadel, William G.
中科院分区：
文献类型：
--
作者：
Chandra, Siddharth;Shiffman, Saul;Shadel, William G.
在这篇文章中，作者研究了吸烟的每日时间模式与环境限制吸烟和戒烟结果的关系。采用时间序列分析方法，对351名吸烟者进行了2周的吸烟监测。清醒的一天被分成大约2小时的8个“垃圾桶”，对每个垃圾桶的香烟数量进行计数，并分析吸烟和戒烟的时间模式。按时间对吸烟模式进行聚类分析，得到4类：每日下降(n=30；9%)、晨高(n=43；12，70)、平缓(n=247.70%)和每日晚间倾斜(n=3.1；9%)。分组在基线人口统计、吸烟和心理社会变量上有所不同。结果表明，吸烟行为可以用清醒白天吸烟频率的规律性模式来表征：平面线群中的吸烟始终在+/-0.5标准差以内。对于其他组，吸烟在早上高(日低-晚倾斜度：+1.7标准差；早高：+2.8标准差；日下降：+1.7标准差)；中等(早高：-0.8标准差；日下降：+0.3标准差)或低(日低-晚倾斜度：-1.0标准差)中午和高(日低-晚倾斜度：+2.0标准差)，中等(早高：+0.5标准差)，或低(日下降：-1.5标准差)。日常吸烟模式与环境吸烟限制有关，但这种关系的强度在集群之间和一天中的不同时间有所不同。集群在失误风险方面存在差异。
In this article, the authors examine daily temporal patterns of smoking in relation to environmental restrictions on smoking and cessation outcomes. Time-series methods were used for analyzing cycles in 351 smokers who monitored their smoking in real time for 2 weeks. The waking day was divided into 8 "bins" of approximately 2 hr, cigarette counts were tallied for each bin, and temporal patterns of smoking and restriction were analyzed. Cluster analyses of smoking patterns by time of day resulted in 4 Clusters: daily decline (n = 30; 9%), morning high (n = 43; 12,70), flatline (n = 247 70%), and daily dip-evening incline (n = 3 1; 9%). Clusters differed in baseline demographic, smoking, and psychosocial variables. Results suggest that smoking behavior can be M characterized by regular patterns of smoking frequency during the waking day: Smoking in the flatline Cluster was within +/- 0.5 standard deviation at all times. For the other clusters, smoking was high in the morning (daily dip-evening incline: +1.7 standard deviations; morning high: +2.8 standard deviations; daily decline: +1.7 standard deviations); moderate (morning high: -0.8 standard deviations; daily decline: +0.3 standard deviations) or low (daily dip-evening incline: -1.0 standard deviations) midday and high (daily dip-evening incline: +2.0 standard deviations), moderate (morning high: +0.5 standard deviations), or low (daily decline: -1.5 standard deviations) in the evening. Daily smoking patterns were related to environmental smoking restrictions, but the strength of this relationship differed among clusters and by time of day. Clusters differed in lapse risk.