OBJECTIVE:This study used statewide administrative data sets to estimate the prevalence of tobacco use among persons with mental illnesses who were accessing public-sector mental health care in Colorado and to determine the relationships between tobacco use and primary diagnosis and alcohol and drug use. METHODS:This study utilized the Colorado Client Assessment Record to examine predictors of tobacco use among 111,984 persons with mental illnesses who were receiving services in the public mental health system. RESULTS:Thirty-nine percent of the sample (N=43,508) used tobacco. Multiple logistic regression analysis found that schizophrenia, schizoaffective disorder, and bipolar disorder (p<.001 for all), and depression or dysthymia (p<.01) were associated with greater tobacco use than other diagnoses. Significant differences in tobacco use existed across gender, age group, race or ethnicity, and substance use categories. CONCLUSIONS:Findings suggest that an administrative database is a low-burden means of identifying persons at high risk of tobacco use to inform resource allocation.

译文

目的:这项研究使用了全州范围内的行政数据集,以评估正在科罗拉多州接受公共部门精神卫生保健的精神疾病患者中烟草使用的流行率,并确定烟草使用与主要诊断以及酒精和毒品的使用之间的关系。
方法:本研究利用科罗拉多州客户评估记录来检查在接受公共精神卫生系统服务的111,984名精神疾病患者中烟草使用的预测指标。
结果:39%的样本(N = 43,508)使用了烟草。多元logistic回归分析发现,与其他诊断相比,精神分裂症,精神分裂症和双相情感障碍(所有患者p <.001),抑郁症或心律不齐(p <.01)与吸烟的相关性更高。跨性别,年龄组,种族或族裔和物质使用类别的烟草使用存在显着差异。
结论:研究结果表明,行政数据库是一种低负担的手段,可用来识别烟草高危人群,从而为资源分配提供依据。

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