Fishbain David A, Lewis John E, Cole Brandly, Cutler Robert B, Rosomoff Hubert L, Rosomoff Rennée Steele
University of Miami School of Medicine, Department of Psychiatry, Miami, Florida 33136, USA.
Pain Med. 2007 May-Jun;8(4):301-11. doi: 10.1111/j.1526-4637.2007.00317.x.
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.
As part of a return-to-work grant study CPPs who could potentially return to work identified themselves as either current smokers (N=81) 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.
Pain facility.
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.
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.
吸烟者可能报告更多疼痛,且患精神疾病共病的风险可能更高。吸烟可能是慢性疼痛患者(CPPs)中的一个主要问题。本研究的目的是确定疼痛和精神疾病共病是否与CPPs的吸烟状况相关。
作为一项重返工作岗位资助研究的一部分,有可能重返工作岗位的CPPs将自己确定为当前吸烟者(N = 81)或非吸烟者(N = 140)。在资助研究入院时收集的大量人口统计学、功能、疼痛、残疾、行为和精神疾病诊断变量方面,对这两组进行了比较。分别使用学生t检验或卡方检验来检测吸烟发生率在连续变量和分类变量上的差异。通过输入先前分析中的显著自变量(P<0.01),利用逻辑回归来确定吸烟状况的预测变量。
疼痛治疗机构。
发现五个变量可解释吸烟状况方差的38.8%。这些变量是教育程度;种族(白种人);每天喝咖啡的杯数;当前酒精滥用/依赖的诊断;以及人格障碍。
CPPs的吸烟状况与一般人群和精神疾病人群中吸烟的一些相似变量(教育程度、种族、酗酒)相关。然而,一些预期相关的变量(如情绪障碍)与CPPs的吸烟状况无关。由于这些结果来自有可能重返工作岗位的CPPs,因此可能不适用于所有CPPs。