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We used archival data from 99 decredentialed agents, 52 non-decredentialed agents, and 46 agents who earned awards to examine whether information obtained at the time of selection would be useful in predicting problematic behaviors of federal law enforcement military personnel. We found that agents were decredentialed most commonly for inappropriate sexual behavior and behavior for personal gain; decredentialing tended to occur early in the agent's career. In about a quarter of decredentialing cases, agents were deployed or were on temporary duty outside the country. We discuss implications of our findings for selecting, training, and supervising law enforcement agents within military organizations.

A 2000 report by Staal, Cigrang, and Fiedler and a 1998 report by Cigrang, Carbone, Todd, and Fiedler described the attrition of U. S. Air Force basic military trainees due to mental health disorders for the year 1997. This article looks at the population of Air Force basic military trainees and technical training school students located at the same base during the year 2001. In addition, we look at the effect of allowing basic trainees and those in technical school to refer themselves for mental health evaluations as opposed to only evaluating those referred by secondary sources. Primary results of the data analysis suggest that mental health-related separation rates for calendar year 2001 basic military trainees are consistent with past years at 4.2%. For both basic trainees and technical school training students, adjustment disorders and depressive disorders are the top diagnostic categories related to recommendation for separation.

The structure of the Minnesota Multiphasic Personality Inventory (2nd ed.) Low Self-Esteem content scale was explored using principal components analysis. Associations with other measures provided evidence of convergent and discriminant validity.

IMPORTANCE: Abusive head trauma is the leading cause of death from physical abuse. Missing the diagnosis of abusive head trauma, particularly in its mild form, is common and contributes to increased morbidity and mortality. Serum biomarkers may have potential as quantitative point-of-care screening tools to alert physicians to the possibility of intracranial hemorrhage. OBJECTIVE: To identify and validate a set of biomarkers that could be the basis of a multivariable model to identify intracranial hemorrhage in well-appearing infants using the Ziplex System. DESIGN, SETTING, AND PARTICIPANTS: Binary logistic regression was used to develop a multivariable model incorporating 3 serum biomarkers (matrix metallopeptidase-9, neuron-specific enolase, and vascular cellular adhesion molecule-1) and 1 clinical variable (total hemoglobin). The model was then prospectively validated. Multiplex biomarker measurements were performed using Flow-Thru microarray technology on the Ziplex System, which has potential as a point-of-care system. The model was tested at 3 pediatric emergency departments in level I pediatric trauma centers (Children’s Hospital of Pittsburgh of University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Primary Children’s Hospital, Salt Lake City, Utah; and Lurie Children’s Hospital, Chicago, Illinois) among well-appearing infants who presented for care owing to symptoms that placed them at increased risk of abusive head trauma. The study took place from November 2006 to April 2014 at Children’s Hospital of Pittsburgh, June 2010 to August 2013 at Primary Children’s Hospital, and January 2011 to August 2013 at Lurie Children’s Hospital. MAIN OUTCOMES AND MEASURES: A mathematical model that can predict acute intracranial hemorrhage in infants at increased risk of abusive head trauma. RESULTS: The multivariable model, Biomarkers for Infant Brain Injury Score, was applied prospectively to 599 patients. The mean (SD) age was 4.7 (3.1) months. Fifty-two percent were boys, 78% were white, and 8% were Hispanic. At a cutoff of 0.182, the model was 89.3% sensitive (95% CI, 87.7-90.4) and 48.0% specific (95% CI, 47.3-48.9) for acute intracranial hemorrhage. Positive and negative predictive values were 21.3% and 95.6%, respectively. The model was neither sensitive nor specific for atraumatic brain abnormalities, isolated skull fractures, or chronic intracranial hemorrhage. CONCLUSION AND RELEVANCE: The Biomarkers for Infant Brain Injury Score, a multivariable model using 3 serum biomarker concentrations and serum hemoglobin, can identify infants with acute intracranial hemorrhage. Accurate and timely identification of intracranial hemorrhage in infants without a history of trauma in whom trauma may not be part of the differential diagnosis has the potential to decrease morbidity and mortality from abusive head trauma.