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Biomedical subjects

Rebecca Weston

Publications and source records attributed to Rebecca Weston.

4 recordsLinked to original sources

Physical and mental health outcomes of women in nonviolent, unilaterally violent, and mutually violent relationships.

Despite equivocal findings on whether men or women are more violent, the negative impact of violence is greatest for women. To determine how gender asymmetry in perpetration affects women's health status, we conducted a study in two phases with 835 African American, Euro-American, and Mexican American low-income women in Project HOW: Health Outcomes of Women. In Phase 1, we used severity and frequency of women's and male partners' violence to create six groups: nonviolent (NV), uni-directional male (UM) perpetrator, uni-directional female (UF) perpetrator and, when both partners were violent, symmetrical (SYM), male primary perpetrator (MPP), and female primary perpetrator (FPP). The MPP group sustained the most threats, violence, sexual aggression, and psychological abuse. They also reported the most fear. Injury was highest in the MPP and FPP groups. In Phase 2, we examined group differences in women's health status over time for 535 participants, who completed five annual interviews. Surprisingly, women's health in the MPP and FPP violence groups was similar and generally worse than if violence was uni-directional.

Adult↗

PTSD symptoms among men and women survivors of intimate partner violence: the role of risk and protective factors.

The purpose of this cross-sectional analysis of the National Violence Against Women Survey was to characterize current symptoms of posttraumatic stress disorder (PTSD) among 185 men and 369 women survivors of intimate partner violence (IPV). In this subsample, 24% of women and 20% of men had current moderate-to-severe PTSD symptoms. PTSD scores were higher for women than men. Protective factors that appear to increase resiliency of survivors were higher education and income, being currently married, and reporting that IPV had stopped. Higher physical or psychological IPV scores, current depressive symptoms, and the survivor having left the relationship at least once were associated with risk of moderate-to-severe symptoms of PTSD. Protective factors may be used to boost resiliency of IPV survivors and reduce PTSD symptoms.

Adult↗

Childhood and adolescent sexual abuse of community women: mediated effects on psychological distress and social relationships.

Possible mediators of sexual abuse severity were tested on the basis of D. Finkelhor and A. Browne's (1985) traumagenic dynamics model with 178 low-income African American, European American, and Mexican American community women interviewed for Project HOW: Health Outcomes of Women. This subsample reported contact sexual abuse before the age of 18 years. Severity was level of force, number of perpetrators, relationship to perpetrator, and age at first assault. As expected, structural equation modeling showed powerlessness, and stigmatization largely mediated the effects of sexual abuse severity on women's psychological distress in adulthood. Powerlessness also mediated the effects of severity on maladaptive social relationships. The expected path from betrayal to relationships was nonsignificant. Overall, the results support extension of D. Finkelhor and A. Browne's model. Possible interventions are addressed.

Adolescent↗

Cross-validation by downweighting influential cases in structural equation modelling.

In the social and behavioural sciences, structural equation modelling has been widely used to test a substantive theory or causal relationship among latent constructs. Cross-validation (CV) is a valuable tool for selecting the best model among competing structural models. Influential cases or outliers are often present in practical data. Therefore, even the correct model for the majority of the data may not cross-validate well. This paper discusses various drawbacks of CV based on sample covariance matrices, and develops a procedure for using robust covariance matrices in the model calibration and validation stages. Examples illustrate that the CV index based on sample covariance matrices is very sensitive to influential cases, and even a single outlier can cause the CV index to support a wrong model. The CV index based on robust covariance matrices is much less sensitive to influential cases and thus leads to a more valid conclusion about the practical value of a model structure.

Behavioral Sciences↗