Recommendations to researchers for aiding in increasing American Indian representation in genetic research and personalized medicine.

Increasing American Indian/Alaska Native (AI/AN) representation in genetic research is critical to ensuring that personalized medicine discoveries do not widen AI/AN health disparities by only benefiting well-represented populations. One reason for the under-representation of AIs/ANs in research is warranted research distrust due to abuse of some AI/AN communities in research. An approach to easing the tension between protecting AI/AN communities and increasing the representation of AI/AN persons in genetic research is community-based participatory research. This approach was used in a collaboration between a tribe and academic researchers in efforts to increase AI/AN participation in genetic research. From the lessons learned, the authors propose recommendations to researchers that may aid in conducting collaborative and respectful research with AI/AN tribes/communities and ultimately assist in increasing representation of AIs/ANs in personalized medicine discoveries.

Assessment reactivity: A randomized controlled trial of alcohol-specific measures on alcohol-related behaviors.

INTRODUCTION: Completion of alcohol assessments influences treatment outcomes, yet little is known about the aspects of assessment that may contribute to this response. The present study is a randomized controlled trial examining how the themes of alcohol assessments (e.g., assessment of alcohol-related consequences as opposed to drinking patterns) may affect drinking behaviors. METHODS: Undergraduate students (N=290, Mage=19.97, SDage=1.81, 61.7% female), reporting at least one binge drinking episode during the past month, completed one of five baseline assessment batteries that varied thematically: (a) Control (e.g., minimal drinking quantity and frequency questions), (b) Consequences (e.g., College Alcohol Problems Scale; CAPS-r), (c) Norms (e.g., Drinking Norms Rating Form), (d) Diagnostic (e.g., Alcohol Use Disorders Identification Test), and (e) Combined (all themes). Participants completed a one-month follow-up of drinking quantity/frequency and the CAPS-r. RESULTS: All groups decreased their self-reported peak drinks consumed (p<0.001, ηp2=0.05) and past month frequency of drinking (p=0.002, ηp2=0.03; except for the consequences group) from baseline to follow-up. There were no between-group differences. No changes emerged in drinks per week (p=0.09, ηp2=0.01) or alcohol-related consequences (p=0.06, ηp2=0.03) from baseline to follow-up. CONCLUSION: Minimal assessment of drinking quantity and frequency may result in assessment reactivity. Reductions in markers of risky drinking behaviors did not differ as a function of the type of assessments completed (e.g., Consequences vs Diagnostic). Continued research is needed to determine what other important variables (e.g., treatment seeking) may affect assessment reactivity.

Assessing the reliability of the Gambling Functional Assessment.

Dixon and Johnson (Analysis of Gambling Behavior 2007, 1:44-49) introduced the Gambling Functional Assessment (GFA), which attempts to identify the consequences that may be maintaining a person's gambling behavior. The present study had 949 introductory psychology students complete the GFA, with 124 of them completing the measure a second time 12 weeks later. Measures of internal consistency were quite good regardless of whether "non-gamblers" were included or excluded. Test-retest reliability was somewhat mixed, with Escape scores yielding substandard coefficients, especially among females. Both internal and test-retest reliability were typically poorer for female respondents. In general, the GFA performed within the limits of acceptable reliability, and coefficients compared favorably with similar measures. Future investigations will need to determine the reliability and validity of the instrument, especially as it pertains to its intended population, pathological gamblers.

Testing the construct validity of Dixon and Johnson's (2007) Gambling Functional Assessment.

The Gambling Functional Assessment (GFA; Dixon & Johnson, 2007) is a 20-item self-report inventory identifying four potential consequences maintaining gambling behavior. Exploratory and confirmatory factor analyses are performed for two large, nonclinical samples of university undergraduates. For the exploratory analysis, the optimal model yields two factors: Positive Reinforcement (correlated with GFA Sensory, Attention, and Tangible scores) and Negative Reinforcement (correlated with GFA Escape scores). One GFA item fails to load on either factor adequately. Factor loadings are confirmed using structural equation modeling for the second sample. The resulting model yields a mix of adequate and suboptimal fit indicators. Although the 2-factor model of the GFA has great theoretical utility and shows significant promise, confirmation within clinical samples of gamblers will be necessary to further validate the model. GFA Escape scores are uniquely distributed in the two samples and may represent functions most likely to maintain pathological gambling.