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Objectives: To determine the point prevalences of metabolic syndrome (MetS) and its components among healthy weight, overweight, and obese inner-city public high school students, to compare the prevalences of MetS when using 2 different definitions (one with the impaired fasting glucose [IFG] level and the other with a homeostasis model assessment of insulin resistance [HOMA-IR] of 3.99 or higher to define the glucose regulation component), and to compare the degree to which HOMA-IR and fasting glucose level are associated with the other MetS components., Design: Cross-sectional analysis., Setting: Two New York City public high schools, from April 2008 through August 2011., Participants: Convenience sample of 1185 high school youth, comprising predominantly Hispanic and African American students from low-income households, participating in The Banishing Obesity and Diabetes in Youth Project, a medical screening and education program., Main Outcome Measures: Prevalences of the following individual MetS components: IFG threshold, HOMA-IR, hypertension, central adiposity, hypertriglyceridemia, and low high-density lipoprotein cholesterol. Rates of MetSIFG and MetSHOMA-IR were also assessed., Results: MetSIFG and MetSHOMA-IR point prevalences were both 0.3% in the healthy weight group; they were 2.6% and 5.9%, respectively, in the overweight group and were 22.9% and 35.1%, respectively, in the obese group (P < .05 for both). An IFG threshold of 100 mg/dL or higher was found in 1.0% of participants, whereas a HOMA-IR of 3.99 or higher was found in 19.5% of participants., Conclusions: An elevated HOMA-IR is much more sensitive than an IFG threshold in identifying adolescents with metabolic dysregulation. Using a HOMA-IR threshold of 3.99 identifies more youth with MetS than using an IFG threshold of 100 mg/dL. In addition to increasing the sensitivity of MetS detection, HOMA-IR has a much higher association with the other MetS components than the IFG threshold and may better reflect a unified underlying pathologic process useful to identify youth at risk for disease.

Type 2 diabetes (T2DM) and cardiovascular disease (CVD) are rising dramatically in adolescents in parallel with excess weight. The Banishing Obesity and Diabetes in Youth (BODY) Project, is a school-based intervention that medically screens overweight and obese high school students, provides personalized feedback, and connects to appropriate healthcare. Body mass index (BMI) was determined for 1,526 students in one New York City public high school with a school-based health center (SBHC). Overweight and obese students (n = 640) were invited to complete a medical evaluation that included a survey, blood pressure and blood tests. 328/640 (51%) eligible students returned signed parental consent and participated. All participants received a personalized report detailing their results along with specific recommendations on how to improve their health. Parents of participants with results outside healthy ranges (82%; 270/328) were called and mailed referral letters to connect with healthcare services. Project staff reached by telephone 74% (199/270) of those families and 29% (58/199) stated that the report led them to make arrangements to see a healthcare provider. Most students (83%; 273/328) were registered at the SBHC, and we shared their medical results with them so they could follow-up with the students. The BODY Project is a feasible program for urban schools with a SBHC. This may allow effective prevention of T2DM, and CVD from dyslipidemia and hypertension.

Objective: Patient characteristics associated with the clinical prediction of assaultive behavior in a forensic psychiatric hospital were compared with characteristics associated with actual assaultive behavior., Methods: Treating psychiatrists at a New York forensic psychiatric hospital were asked to predict which of a sample of 183 recently admitted male patients were likely to show assaultive behavior during a three-month period. The predictions were compared with incident reports of actual assaultive behavior. Several patient characteristics, including race, legal status, age, education, criminal history, psychiatric symptoms rated independently by raters other than the treating psychiatrists, and ward behavior, were examined for their association with predicted and actual assaultive behavior., Results: Clinicians' rate of correct prediction of assaultive behavior was 71 percent, with a diagnostic sensitivity of 54 percent and a diagnostic specificity of 79 percent. Characteristics associated with the prediction of assaultive behavior were race, transfer from a civil facility because of violence or dangerousness, age, education, arrests for violent offenses, childhood physical abuse, hostility, temper (or nurses' assessment of the patient's irritability), and inability to follow ward routine. Characteristics associated with actual assaultive behavior were transfer from a civil hospital, dual diagnosis of schizophrenia and substance abuse or dependence, childhood physical abuse, age, thought disorder, and temper., Conclusions: Clinicians were significantly more accurate than chance in prospectively predicting which male forensic patients would show assaultive behavior. However, some of the factors associated with clinical prediction, such as race, ability to follow ward routine, and arrest history, were not associated with actual assaultive behavior. In addition, clinicians failed to use dual diagnosis of schizophrenia and substance use disorder as a predictor.

A 13-item questionnaire was constructed to assess risk factors for HIV infection among 476 patients newly admitted over a one-year period to a state psychiatric hospital in New York City. Because psychopathology can affect patients' self-reports, the validity of the instrument was established by HIV antibody tests in a subset of 352 patients. Results of the questionnaire indicated that the 352 patients were almost equally divided between the high-risk and low-risk categories. HIV seroprevalence was .6 percent among the low-risk patients, but 14.4 percent among the high-risk patients. The findings suggest that a screening program to detect HIV-positive patients should be undertaken in this population, that it should be focused on the high-risk subgroup, and that the questionnaire can be used to define that subgroup. However, results of the study may not generalize to other geographic areas.