Efficacy of a Sexual Assault Resistance Program for University Women

Senn, Charlene Y.; Eliasziw, Misha; Barata, Paula C.; Thurston, Wilfreda E.; Newby‐Clark, Ian R.; Radtke, H. Lorraine; Hobden, Karen L.

doi:10.1056/nejmsa1411131

Cited by 312 publications

(274 citation statements)

References 31 publications

(38 reference statements)

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“…trauma-informed counseling 50 ) and minimize modifiable risk factors (e.g. risk-reduction education 51 ), taking into account the varied experiences of men and women.…”

Section: Commentmentioning

confidence: 99%

Prevalence and predictors of sexual assault among a college sample

Conley

Overstreet

Hawn

et al. 2016

Journal of American College Health

106

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Objective This study examined the prevalence and correlates of sexual assault (SA) pre-college, college onset, and repeat SA within a representative student sample. Participants A representative sample of 7,603 students. Methods Incoming first year students completed a survey about their exposure to broad SA prior to college, prior trauma, personality, relationships, and mental health. Broad SA was then re-assessed each spring semester while enrolled. Results Nearly 20% of the sample reported experiencing broad SA, with women endorsing significantly higher rates compared to males. Prior victimization before coming to college was related to a greater risk of victimization in college and there was no statistically significant difference between males and females who reported revictimization. Correlates of college onset broad SA were found and are discussed. Conclusions Given the need for SA intervention and prevention on college campuses, identification of factors potentially contributing to exposure within this population is essential.

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“…trauma-informed counseling 50 ) and minimize modifiable risk factors (e.g. risk-reduction education 51 ), taking into account the varied experiences of men and women.…”

Section: Commentmentioning

confidence: 99%

Prevalence and predictors of sexual assault among a college sample

Conley

Overstreet

Hawn

et al. 2016

Journal of American College Health

106

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“…Consistent with widely accepted public health perspectives on sexual assault prevention, much of DoD’s prevention program focuses on primary prevention efforts aimed at changing the behaviors of potential perpetrators (DeGue et al, 2012). However, evidence is mounting that there is also an important role for effective risk reduction programs aimed at the subset of women who have especially high risk of victimization (Senn et al, 2015). Although many sexual assault prevention programs involve relatively non-intensive universal interventions, successful large-scale prevention also requires more intensive selective interventions with high-risk individuals (Foster & Jones, 2006; Golubnitschaja & Costigliola, 2012).…”

mentioning

confidence: 99%

Developing a Risk Model to Target High-Risk Preventive Interventions for Sexual Assault Victimization Among Female U.S. Army Soldiers

Street

Rosellini

Ursano

et al. 2016

Clinical Psychological Science

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Sexual violence victimization is a significant problem among female U.S. military personnel. Preventive interventions for high-risk individuals might reduce prevalence, but would require accurate targeting. We attempted to develop a targeting model for female Regular U.S. Army soldiers based on theoretically-guided predictors abstracted from administrative data records. As administrative reports of sexual assault victimization are known to be incomplete, parallel machine learning models were developed to predict administratively-recorded (in the population) and self-reported (in a representative survey) victimization. Capture-recapture methods were used to combine predictions across models. Key predictors included low status, crime involvement, and treated mental disorders. Area under the Receiver Operating Characteristic curve was .83−.88. 33.7-63.2% of victimizations occurred among soldiers in the highest-risk ventile (5%). This high concentration of risk suggests that the models could be useful in targeting preventive interventions, although final determination would require careful weighing of intervention costs, effectiveness, and competing risks.

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“…Rape rates have reached epidemic levels among college women, with risky drinking behavior being a significant factor in most cases (Carey 2015). In a recent study, a sexual assault resistance program with strategies to reduce the risk of college women for being sexually assaulted was used to significantly lower the occurrence of rape (Senn et al 2015). …”

Section: Discussionmentioning

confidence: 99%

Geographical Clusters of Rape in the United States: 2000–2012

Amin¹,

Nabors²,

Nelson³

et al. 2015

Statistics and Public Policy

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Background While rape is a very serious crime and public health problem, no spatial mapping has been attempted for rape on the national scale. This paper addresses the three research questions: (1) Are reported rape cases randomly distributed across the USA, after being adjusted for population density and age, or are there geographical clusters of reported rape cases? (2) Are the geographical clusters of reported rapes still present after adjusting for differences in poverty levels? (3) Are there geographical clusters where the proportion of reported rape cases that lead to an arrest is exceptionally low or exceptionally high? Methods We studied the geographical variation of reported rape events (2003-2012) and rape arrests (2000-2012) in the 48 contiguous states of the USA. The disease Surveillance software SaTScan™ with its spatial scan statistic is used to evaluate the spatial variation in rapes. The spatial scan statistic has been widely used as a geographical surveillance tool for diseases, and we used it to identify geographical areas with clusters of reported rape and clusters of arrest rates for rape. Results The spatial scan statistic was used to identify geographical areas with exceptionally high rates of reported rape. The analyses were adjusted for age, and in secondary analyses, for both age and poverty level. We also identified geographical areas with either a low or a high proportion of reported rapes leading to an arrest. Conclusions We have identified geographical areas with exceptionally high (low) rates of reported rape. The geographical problem areas identified are prime candidates for more intensive preventive counseling and criminal prosecution efforts by public health, social service, and law enforcement agencies Geographical clusters of high rates of reported rape are prime areas in need of expanded implementation of preventive measures, such as changing attitudes in our society toward rape crimes, in addition to having the criminal justice system play an even larger role in preventing rape.

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Efficacy of a Sexual Assault Resistance Program for University Women

Cited by 312 publications

References 31 publications

Prevalence and predictors of sexual assault among a college sample

Prevalence and predictors of sexual assault among a college sample

Developing a Risk Model to Target High-Risk Preventive Interventions for Sexual Assault Victimization Among Female U.S. Army Soldiers

Geographical Clusters of Rape in the United States: 2000–2012

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