\n\nMaterial and methods. Four pairs of edentulous maxillae and mandibles were retrieved from fresh human cadavers. Six implants per pair were placed in different anatomical regions

(maxillary anterior, right and left maxillary posterior, mandibular anterior, right and left mandibular posterior). Immediately after surgery, initial implant stability was measured with a resonance frequency device and a tapping device. Implant surgeries and initial stability measurements were performed within 72 hours of death. Elastic modulus (EM) and hardness were measured using nano-indentation. CA4P research buy Composite apparent density (cAD) was measured using Archimedes’ principle. Bone-implant contact percentage and cortical bone thickness were recorded histomorphometrically. Mixed linear models and univariate-correlation analyses were used (alpha=.05).\n\nResults. Generally, mandibular bone had higher initial implant stability and physical selleck chemicals properties than maxillary bone. Initial implant stability was higher in the anterior region than in the posterior. EM was higher in the posterior region than in the anterior; the reverse was true for cAD.\n\nConclusions. Of the properties evaluated, cAD had the highest correlation with initial implant stability (r=0.82).

Both physical properties of bone and initial implant stability differed between regions of jawbone. (J Prosthet Dent 2009;101:306-318)”
“Purpose: Although mental health screening is recommended for adolescents, little is known about the predictors of referral to mental health services or engagement in treatment. We examined predictors of mental health referral from primary care and service use for commercially insured youth who had been screened using the Pediatric Symptom Checklist or Youth-Pediatric Symptom Checklist. Methods: A retrospective chart review was conducted of commercially insured patients 14-17 years of age who were newly identified by the Pediatric Symptom Checklist or Youth-Pediatric Symptom Checklist

at a well-child visit. Comparisons were made with propensity-matched negative adolescents meeting the same criteria. Bivariate analyses were conducted to examine differences between positives see more and negatives and between referred and nonreferred positives. Logistic regression analyses were performed to assess predictors of mental health referral for positive youth. Results: Medical records of 117 positive and 110 negative youth were examined. Compared with negative youth, positive youth were significantly more likely to be referred for mental health treatment (p smaller than .0001) and receive specialty mental health services (p smaller than .0001). Of the positives, 54% were referred for mental health care and 67% of them accepted. However, only 18% completed a face-to-face mental health visit in the next 180 days.