Table 2. Twelve month prevalence rates of victimisation of patients with depression, substance use disorder and severe mental illness, psychiatric patients overall and the general population.

Criminal victimisation prevalence was measured in 300 outpatients living in Amsterdam, The Netherlands. Face-to-face interviews were conducted with outpatients with depressive disorder (n=102), substance use disorder (SUD, n=106) and severe mental illness (SMI, n=92) using a National Crime Victimisation Survey, and compared with a matched general population sample (n=10865). Statistical analyses were conducted using SPSS Statistics for Microsoft Windows, a computer software package for statistical analysis. Between group analyses were conducted using the Pearson Chi-square test for dichotomous variables, and ANOVA for continuous variables, Effect sizes for dichotomous variables were obtained with Cramer’s V test. The Bonferroni Test was used as a post hoc test for continuous variables. For comparison of the patient group with the general population we also used a Pearson Chi-square test. To correct for differences between the two samples, IVM data of the general population was weighed for age, gender, ethnicity, level of education and living area.本研究针对居住于荷兰阿姆斯特丹的300名门诊患者开展犯罪受害率测量。研究采用《全国犯罪受害调查》（National Crime Victimisation Survey）工具，对102名抑郁障碍（depressive disorder）门诊患者（n=102）、106名物质使用障碍（substance use disorder, SUD）门诊患者（n=106）及92名严重精神疾病（severe mental illness, SMI）门诊患者（n=92）开展面对面访谈，并将结果与包含10865名个体的匹配一般人群样本（n=10865）进行对比。本研究采用面向Microsoft Windows的统计分析软件SPSS Statistics完成全部统计分析工作：患者组间的比较中，二分变量采用皮尔逊卡方检验（Pearson Chi-square test），连续变量采用方差分析（Analysis of Variance, ANOVA）；二分变量的效应量通过克莱默V检验（Cramer’s V test）获取。针对连续变量，采用邦费罗尼检验（Bonferroni Test）作为事后检验方法。在患者群体与一般人群的对比分析中，本研究同样采用皮尔逊卡方检验。为校正两类样本间的差异，对一般人群的IVM数据按年龄、性别、种族、教育水平及居住区域进行加权处理。