Policy Development for the Reduction of Alcohol and Other Drug Problems at an Australian University

Universities, as with other workplaces, experience problems related to alcohol and other drug use by staff and students. There is little published information about the prevalence of these problems among students in the university setting in Australia as compared with the availability of information from the USA. Curtin University of Technology's experience with alcohol-related problems seems to be documented better than most other Australian institutions, and the available evidence indicates that the level of student alcohol consumption and reported alcohol-related problems is cause for concern. However, this is not to say that Curtin's problems may be any greater than those of any other Australian university with alcohol available on the premises. Many years of involvement in health promotion teaching and research, combined with identification of alcohol and drug related problems on campus, were thought to be the primary factors preceding the university's decision to begin the process of formulating comprehensive alcohol and other drug policy for staff and students. The absence of clear and consistent alcohol and other drug policy can lead to 1) undermining of the educational environment, 2) confusion about appropriate behaviour, 3) dealing with drug-related problems by inaction or arbitrary and inappropriate action. Alcohol and other drug policy has two main goals: problem reduction and better management of problems.     

Children's Perspectives on Their Relationships With Grandparents Following Parental Separation: A Longitudinal Study

Following parental separation, children's closeness to grandparents has been reported to be linked to their family situation and differences in adjustment. This relationship has not been investigated longitudinally. This study investigated children's relationships with grandparents over time in different family settings, and associations with intergenerational relationships. Data from 385 children, with longitudinal analyses on 140, were collected at two time points over a five‐year period. Associations between closeness of the child–grandparent relationship and adjustment were not found at the later time point. There was a mean drop in frequency of contact over time, but not in closeness. However, there was stability of individual differences in both frequency of contact and closeness; closeness to the maternal grandmother was particularly stable for children living with a single mother. Intergenerational links were found with the mother's own childhood experiences, particularly in single‐mother families. Following parental separation, the matrifocal bias in kinship patterns was accentuated.     

Domestic violence in veterans with posttraumatic stress disorder who seek couples therapy

Domestic violence rates among veterans with posttraumatic stress disorder (PTSD) are higher than those of the general population. Individuals who have been diagnosed with PTSD who seek couples therapy with their partners constitute an understudied population. Self-report measures of domestic violence, relationship satisfaction, and intimacy were administered at intake to 179 couples seeking relationship therapy at a Veterans Affairs clinic. Couples in which the veteran was diagnosed with combat-related PTSD were compared with two other groups based on the veteran's primary diagnosis (depression, adjustment disorder/V-code). Both the PTSD- and depression-diagnosed veterans perpetrated more violence than did those with adjustment/V-code diagnoses. Domestic violence rates among depressed and PTSD-diagnosed veterans were much higher than those found in previous research. Implications for assessment and treatment are discussed.     

Adaptively leveraging external data with robust meta-analytical-predictive prior using empirical Bayes

The robust meta-analytical-predictive (rMAP) prior is a popular method to robustly leverage external data. However, a mixture coefficient would need to be pre-specified based on the anticipated level of prior-data conflict. This can be very challenging at the study design stage. We propose a novel empirical Bayes robust MAP (EB-rMAP) prior to address this practical need and adaptively leverage external/historical data. Built on Box's prior predictive p-value, the EB-rMAP prior framework balances between model parsimony and flexibility through a tuning parameter. The proposed framework can be applied to binomial, normal, and time-to-event endpoints. Implementation of the EB-rMAP prior is also computationally efficient. Simulation results demonstrate that the EB-rMAP prior is robust in the presence of prior-data conflict while preserving statistical power. The proposed EB-rMAP prior is then applied to a clinical dataset that comprises 10 oncology clinical trials, including the prospective study.