Table 3. Location and perpetrator of most recent violent victimisation incident (sexual offences, threats and assaults) for patients with depression, substance use disorder and severe mental illness.

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.

本研究针对荷兰阿姆斯特丹的300名门诊患者测定了犯罪受害率。研究采用全国犯罪受害调查问卷，对抑郁障碍患者（n=102）、物质使用障碍（Substance Use Disorder, SUD，n=106）及重型精神疾病（Severe Mental Illness, SMI，n=92）患者开展面对面访谈，并与匹配的普通人群样本（n=10865）进行对比分析。统计分析采用适用于Microsoft Windows的SPSS Statistics统计分析软件完成。组间比较中，二分类变量采用皮尔逊卡方（Pearson Chi-square）检验，连续变量采用方差分析（ANOVA）；二分类变量的效应量通过克莱默V（Cramer’s V）检验计算。针对连续变量的事后检验采用邦费罗尼（Bonferroni）检验。在患者组与普通人群的对比分析中，同样使用皮尔逊卡方检验。为校正两类样本间的差异，对普通人群的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。