Gender-Specific Predictors of Recidivism Among DUI Offenders

被引:0
|
作者
Robertson, Angela A. [1 ]
Zhou, Qian M. [2 ]
Tatch, Andrew [1 ]
Walsh, Melanie [1 ]
机构
[1] Mississippi State Univ, Social Sci Res Ctr, 1 Res Blvd,Suite 103, Starkville, MS 39759 USA
[2] Mississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USA
关键词
IMPAIRED-DRIVING RECIDIVISM; PSYCHIATRIC-DISORDERS; DISINHIBITORY PSYCHOPATHOLOGY; RISK; PERSONALITY; 1ST; INVENTORY; VALIDITY; FEMALE; SAMPLE;
D O I
暂无
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Objective: Women are less likely than men to be arrested for driving under the influence (DUI) of alcohol or another drug, yet their proportion of DUI offenders is growing. Understanding how DUI recidivism risk varies for men and women is of practical utility for DUI assessment and intervention programs. The goals of the current study are to determine if there are different sets of predictors for men and women and whether gender-specific DUI recidivism risk scales perform better than a single recidivism scale for both men and women. Method: We rely on statistically driven techniques to develop gender-specific and total sample recidivism risk scales. We then test the ability of the scales to predict recidivism within 12 months among a large sample (N = 10,827, 22.3% female) of DUI offenders court mandated to a DUI intervention in Mississippi. Results: Predictors of recidivism were drawn from measures of criminal history, substance use disorders, driving behaviors, and accidents. Gender-specific models yielded different sets of recidivism risk factors for men and women, with minimal overlap between the two. Male risk factors were criminal history and heavy alcohol consumption. For women, evidence of a substance use disorder was a unique predictor. Having a prior DUI arrest, driving behaviors, and a physical health consequence of alcohol or drug use (i.e., weight loss) were shared predictors for both sexes. Conclusions: Findings suggest that within broad categories of risk factors, the predictive validity of specific assessment items may vary by sex. Our methods represent progression toward more efficient prediction of DUI recidivists.
引用
收藏
页码:641 / 650
页数:10
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