Variables associated with current smoking status in chronic pain patients
Variables associated with current smoking status in chronic pain patients
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DOI：
10.1111/j.1526-4637.2007.00317.x
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发表时间：
2007-05-01
期刊：
影响因子：
3.1
通讯作者：
Steele Rosomoff, Rennee
中科院分区：
文献类型：
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作者：
Fishbain, David A.;Lewis, John E.;Steele Rosomoff, Rennee
目标。吸烟者可能会报告更多的疼痛，并且可能有更大的精神合并症风险。吸烟可能是慢性疼痛患者（CPPs）的主要问题。本研究的目的是确定疼痛和精神共病是否与吸烟有关。作为一项重返工作岗位资助研究的一部分，可能重返工作岗位的CPPs将自己定义为当前吸烟者（N = 81）或不吸烟者（N = 140）。对这两组进行了大量的人口统计学、功能、疼痛、残疾、行为和精神病学诊断变量的比较。吸烟的发生率分别用学生t检验或卡方检验来检测连续变量和分类变量的差异。通过输入先前分析的显著自变量（P < 0.01），采用Logistic回归确定吸烟状况的预测变量。facility.Results疼痛。五个变量被发现可以解释38.8%的吸烟状况方差。这些是教育；种族(高加索);每天几杯咖啡；当前酒精滥用/依赖的诊断；人格障碍，结论。CPPs患者的吸烟状况与一些变量相关，这些变量与普通人群和精神病人群的吸烟状况（教育、种族、酗酒）相似。然而，许多被认为是相关的变量（例如，情绪障碍）与CPPs的吸烟状况无关。这些结果可能并不适用于所有的CPPs，因为它们来自于重返工作岗位的CPPs候选人。
Objectives. Smokers may report more pain and may be at greater risk for psychiatric comorbidity. Smoking may be a major problem in chronic pain patients (CPPs). The goal of this study was to determine if pain and psychiatric comorbidity are associated with smoking status in CPPs.Design. As part of a return-to-work grant study CPPs who could potentially return to work identified themselves as either current smokers (N = 8 1) or nonsmokers (N = 140). These two groups were compared on a large number of demographic, function, pain, disability, behavior, and psychiatric diagnoses variables gathered at admission into the grant study. The incidence of smoking was tested with either the student's t-test or chi-square to detect differences in continuous and categorical variables, respectively. Logistic regression was utilized to determine the predictive variables for smoking status by inputting significant independent variables (P < 0.01) from the prior analyses.Setting. Pain facility.Results. Five variables were found to explain 38.8% of the variance for smoking status. These were education; race (Caucasian); cups of coffee per day; a diagnosis of current alcohol abuse/dependence; and personality disorder.Conclusions. Smoking status in CPPs is associated with some variables that are similar for smoking in the general and psychiatric populations (education, race, alcoholism). However, a number of variables expected to be relevant (e.g., mood disorders) were not associated with smoking status in CPPs. These results may not be generalizable to all CPPs as they are derived from CPPs who are return-to-work candidates.