Combined universal and selective prevention for adolescent alcohol use: a cluster randomized controlled trial.

BACKGROUND: No existing models of alcohol prevention concurrently adopt universal and selective approaches. This study aims to evaluate the first combined universal and selective approach to alcohol prevention. METHOD: A total of 26 Australian schools with 2190 students (mean age: 13.3 years) were randomized to receive: universal prevention (Climate Schools); selective prevention (Preventure); combined prevention (Climate Schools and Preventure; CAP); or health education as usual (control). Primary outcomes were alcohol use, binge drinking and alcohol-related harms at 6, 12 and 24 months. RESULTS: Climate, Preventure and CAP students demonstrated significantly lower growth in their likelihood to drink and binge drink, relative to controls over 24 months. Preventure students displayed significantly lower growth in their likelihood to experience alcohol harms, relative to controls. While adolescents in both the CAP and Climate groups demonstrated slower growth in drinking compared with adolescents in the control group over the 2-year study period, CAP adolescents demonstrated faster growth in drinking compared with Climate adolescents. CONCLUSIONS: Findings support universal, selective and combined approaches to alcohol prevention. Particularly novel are the findings of no advantage of the combined approach over universal or selective prevention alone.

The structure of adolescent psychopathology: a symptom-level analysis.

BACKGROUND: Most empirical studies into the covariance structure of psychopathology have been confined to adults. This work is not developmentally informed as the meaning, age-of-onset, persistence and expression of disorders differ across the lifespan. This study investigates the underlying structure of adolescent psychopathology and associations between the psychopathological dimensions and sex and personality risk profiles for substance misuse and mental health problems. METHOD: This study analyzed data from 2175 adolescents aged 13.3 years. Five dimensional models were tested using confirmatory factor analysis and the external validity was examined using a multiple-indicators multiple-causes model. RESULTS: A modified bifactor model, with three correlated specific factors (internalizing, externalizing, thought disorder) and one general psychopathology factor, provided the best fit to the data. Females reported higher mean levels of internalizing, and males reported higher mean levels of externalizing. No significant sex differences emerged in liability to thought disorder or general psychopathology. Liability to internalizing, externalizing, thought disorder and general psychopathology was characterized by a number of differences in personality profiles. CONCLUSIONS: This study is the first to identify a bifactor model including a specific thought disorder factor. The findings highlight the utility of transdiagnostic treatment approaches and the importance of restructuring psychopathology in an empirically based manner.

Impact of organic and inorganic nanomaterials in the soil microbial community structure.

In this study the effect of organic and inorganic nanomaterials (NMs) on the structural diversity of the soil microbial community was investigated by Denaturing Gradient Gel Electrophoresis, after amplification with universal primers for the bacterial region V6-V8 of 16S rDNA. The polymers of carboxylmethyl-cellulose (CMC), of hydrophobically modified CMC (HM-CMC), and hydrophobically modified polyethylglycol (HM-PEG); the vesicles of sodium dodecyl sulphate/didodecyl dimethylammonium bromide (SDS/DDAB) and of monoolein/sodium oleate (Mo/NaO); titanium oxide (TiO(2)), titanium silicon oxide (TiSiO(4)), CdSe/ZnS quantum dots, gold nanorods, and Fe/Co magnetic fluid were the NMs tested. Soil samples were incubated, for a period of 30 days, after being spiked with NM suspensions previously characterized by Dynamic Light Scattering (DLS) or by an ultrahigh-resolution scanning electron microscope (SEM). The analysis of similarities (ANOSIM) of DGGE profiles showed that gold nanorods, TiO(2), CMC, HM-CMC, HM-PEG, and SDS/DDAB have significantly affected the structural diversity of the soil bacterial community.

Evaluation of the i-STAT portable clinical analyzer for use in a helicopter.

We evaluated the performance of the i-STAT Portable Clinical Analyzer (PCA) for use in a helicopter with the analyses performed by the flight nurses. Imprecision and initial split-sample comparative studies were performed in the Hospital Laboratory and Clinical Chemistry Laboratory. Day-to day imprecision (CV) ranged from 0.5 to 6.7% in the clinical laboratories and 0.5 to 5.3% in the helicopter with urea nitrogen and glucose determinations giving the highest values. Comparison studies between the PCA and the Kodak Ektachem E700 and the Beckman Astra 8 gave acceptable results, although urea nitrogen did show a bias in the high range (mean difference 4.91 and 3.69 mmol/L respectively). It was not considered medically significant for the anticipated patient population of the PCA in our hospitals. Comparison studies of patient specimens between the PCA in the helicopter and the clinical laboratories showed no significant differences, with the exception of glucose. Lower glucose values were obtained in the laboratory due to the time lag between specimen collection in the helicopter and analysis in the laboratory.

Airborne and rescue point-of-care testing.

The prehospital environment has not been studied for point-of-care testing. Therefore, the authors' helicopter program evaluated the performance of the i-STAT Portable Clinical Analyzer, a rapid point-of-care, hand-held instrument. The primary aim of the study was to determine if the i-STAT Portable Clinical Analyzer could be used in the field to assess patient status in flight, and to allow the flight crew to intervene immediately, thus delivering a more stable patient to the emergency room. Imprecision and initial split-sample comparative studies with the Portable Clinical Analyzer were completed in the hospital satellite laboratory and clinical chemistry laboratory. Comparison studies were performed on patient samples drawn and analyzed in the helicopter and subsequently analyzed in the satellite and clinical chemistry laboratories. The only significant differences observed were with glucose. The glucose discrepancies were probably due to the time delay between collection of the specimen in the helicopter and subsequent analysis in the laboratory. Following this initial validation, the i-STAT Portable Clinical Analyzer was used on 81 patients transported by the flight crew. The tests performed in the helicopter include sodium, potassium, glucose, and hematocrit/hemoglobin concentrations. Fifteen (18.5%) of the patients were treated with transfusions, glucose, or insulin based on the Portable Clinical Analyzer results. Other identified needs include blood gas analysis (in process) and use of point-of-care testing in the fixed-wing environment.