Prevalence of mental health disorders among low-income African American adolescents

Purpose

Data on the prevalence of mental health disorders for low-income, urban African American adolescents are scarce. This study presents data about the burden of mental disorders for this understudied population.

Methods

Mental disorders were assessed using the Diagnostic Interview Schedule for Children (C-DISC), Youth Self-Report (YSR), and Child Behavior Checklist (CBCL) among a sample of adolescents and their caregivers from very impoverished neighborhoods in a Southern city.

Results

Based on the C-DISC, 3.8, 5.1 and 7.7 % of adolescents met diagnostic criteria for major depression, post-traumatic stress disorder, and conduct disorder, respectively. There were significant differences among some of the mental health disorders based on adolescent and caregiver characteristics such as sex, school status, caregiver work status, and income level. We found a low prevalence of alcohol, marijuana, and substance abuse and dependence disorders.

Conclusions

Information about the prevalence of mental health disorders in specific communities and populations can assist in addressing unmet needs, planning for services and treatment, and reducing health disparities.     

The Association of the Medicaid 1915(c) Home and Community-Based Services Waivers with Emergency Department Utilization among Youth with Autism Spectrum Disorder

Journal of Autism and Developmental Disorders - Using the 2008–2013 Medicaid Analytic eXtract files, this retrospective cohort study was to evaluate the effect of Medicaid home and...     

Predicting alcohol dependence from multi-site brain structural measures

To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly generalizable to unseen sites and populations. This problem was explored in a mega-analysis of previously published datasets from 2,034 AD and comparison participants spanning 27 sites curated by the ENIGMA Addiction Working Group. Data were grouped into a training set used for internal validation including 1,652 participants (692 AD, 24 sites), and a test set used for external validation with 382 participants (146 AD, 3 sites). An exploratory data analysis was first conducted, followed by an evolutionary search based feature selection to site generalizable and high performing subsets of brain measurements. Exploratory data analysis revealed that inclusion of case- and control-only sites led to the inadvertent learning of site-effects. Cross validation methods that do not properly account for site can drastically overestimate results. Evolutionary-based feature selection leveraging leave-one-site-out cross-validation, to combat unintentional learning, identified cortical thickness in the left superior frontal gyrus and right lateral orbitofrontal cortex, cortical surface area in the right transverse temporal gyrus, and left putamen volume as final features. Ridge regression restricted to these features yielded a test-set area under the receiver operating characteristic curve of 0.768. These findings evaluate strategies for handling multi-site data with varied underlying class distributions and identify potential biomarkers for individuals with current AD.     

Decreased MT1 melatonin receptor expression in the suprachiasmatic nucleus in aging and Alzheimer's disease

The pineal hormone melatonin is involved in the regulation of circadian rhythms and feeds back to the central biological clock, the hypothalamic suprachiasmatic nucleus (SCN) via melatonin receptors. Supplementary melatonin is considered to be a potential treatment for aging and Alzheimer's disease (AD)-related circadian disorders. Here we investigated by immunocytochemistry the alterations of the MT1 melatonin receptor, the neuropeptides vasopressin (AVP) and vasoactive intestinal peptide (VIP) in the SCN during aging and AD. We found that the number and density of AVP/VIP-expressing neurons in the SCN did not change, but the number and density of MT1-expressing neurons in the SCN were decreased in aged controls compared to young controls. Furthermore, both MT1-expressing neurons and AVP/VIP-expressing neurons were strongly diminished in the last neuropathological stages of AD (Braak stages V-VI), but not in the earliest stages (Braak stages I-II), compared to aged controls (Braak stage 0). Our study suggests that the MT1-mediated effects of melatonin on the SCN are disturbed during aging and even more so in late stage AD, which may contribute to the clinical circadian disorders and to the efficacy of therapeutic melatonin administration under these conditions.     

Association of CHRM2 with IQ: Converging Evidence for a Gene Influencing Intelligence

The cholinergic neurotransmitter system is thought to be involved in many aspects of memory, attention, and higher cognition. In the Collaborative Study on the Genetics of Alcoholism (COGA) sample, we have previously reported linkage and association to the cholinergic muscarinic 2 receptor gene (CHRM2) on chromosome 7 with evoked EEG oscillations (Jones et al. 2004), providing evidence that this gene may be involved in human brain dynamics and cognition. In addition, a small number of genetic markers were genotyped in CHRM2 in the Minnesota Twin and Family Study (Comings et al. 2003) and a Dutch family study (Gosso et al. 2006, in press) and both research groups found evidence that this gene may be involved in intelligence. In the COGA sample, we have extensively genotyped SNPs within and flanking the CHRM2 gene. We find evidence of association with multiple SNPs across CHRM2 and Performance IQ, as measured by the Wechsler Adult Intelligence Scale-Revised (WAIS-R). These results remain significant after taking into account alcohol dependence and depression diagnoses in the sample. Edited by Danielle Posthuma Henri Begleiter—Deceased     

Calibration and validation of toxicokinetic-toxicodynamic models for three neonicotinoids and some aquatic macroinvertebrates

Ecotoxicology - Exposure patterns in ecotoxicological experiments often do not match the exposure profiles for which a risk assessment needs to be performed. This limitation can be overcome by...     

Use of a matching algorithm to evaluate hospital coronary artery bypass grafting performance as an alternative to conventional risk adjustment

BACKGROUND: Although public reporting of hospital and physician performance is a cornerstone of the effort to improve health care quality, the optimal approach to risk adjustment is unknown. OBJECTIVE: We sought to assess hospital quality using a matching algorithm based on a generalized distance metric and to compare this approach to the more traditional regression-based approach. DESIGN/ DATA SOURCE: This was a retrospective study using the New York State (NYS) Coronary Artery Bypass Surgery Reporting System (CSRS), focusing on all patients undergoing isolated CABG surgery in NYS who were discharged in 1999 (18,116 patients). Patients from specific hospital were matched to a control group using the Mahalanobis distance. The hospitals' expected mortality rate was calculated in 2 ways: (1) as the mortality rate of the control group or (2) as the mortality rate predicted by the NYS CABG model. Hospitals whose observed mortality rate was significantly different from their expected mortality rate (OE difference) were defined as quality outliers. RESULTS: The 2 risk-adjustment methodologies disagreed on the outlier status of 4 of the 33 hospitals. Kappa analysis demonstrated substantial agreement between these 2 methods for identifying quality outliers: kappa = 0.61. There was excellent agreement between the point estimates of the OE difference obtained using these 2 risk adjustment methodologies. CONCLUSION: Basing outcome assessment on either matching or regression modeling yielded similar findings on hospital ranking but only moderate level of agreement on hospital quality. The use of matching may enhance the transparency and acceptance of outcome report cards by hospitals and physicians.     

Oral health status and prosthodontic conditions of Chinese adults: a systematic review

PURPOSE: To assess oral health and prosthodontic conditions of Chinese adults and the changes in these conditions over time. MATERIALS AND METHODS: PubMed was searched by combining the keyword China with dental health survey, oral health, tooth loss, DMFT (decayed/missing/filled teeth), dental prosthesis, or dentures. After selection, 12 studies remained. Data were obtained from these studies on DMFT, DMFT components, and teeth present and were tested against the following independent variables using analysis of variance: age, residence, and year of data collection. RESULTS: DMFT increased with age (P = .0001). Rural subjects presented higher DMFT based on the higher "decayed" component (P = .003), which increased markedly for subjects over 45 years of age. The number of teeth present decreased with increasing age (P = .0002). The results showed that Chinese subjects who are 65 years old have an average of 20 teeth. Urban subjects had more teeth present (P= .05), although no difference was seen for the "missing" component of DMFT. In general, few prosthodontic data could be extracted from the selected studies, and these data were often unspecific or inconclusive. CONCLUSIONS: The "filled" component of DMFT remained consistently low for all ages, indicating limited care. All outcomes were independent from year of data collection, indicating unchanged care. Outcome aggregation on the number of functional teeth and prosthetic care was impossible. For future reports, it is recommended to include additional information about location and function (in terms of occluding pairs) of teeth present when describing oral health status.