Probation Officer Role Orientation, Helping Alliance, and Probationer Readiness for Change:The Impact on Juvenile Offender Recidivism

The aim of the present study was to investigate the individual and collective influences of officer role orientation, the helping alliance, and probationer readiness for change on the reduction of recidivism rates among juvenile offenders. Archival data from a sample of 33 officers and 314 juvenile probationers were examined. Data included an officer demographic form, a probationer demographic and recidivism form, the Subjective Role Orientation and Strategy Scale, the Dual Role Inventory-Revised Probationer Version, and the University of Rhode Island Change Assessment. Results demonstrated that the sample of probation officers overwhelmingly adopted a balanced approach to supervision. This limited a further utilization of this variable for prediction purposes. Probationers who reported a more positive helping alliance with their officers evidenced lower recidivism rates of probation violations and new charges. Readiness for change scores were higher if violations had been handled by the probation department, if increasingly punitive sanctions were evident, and/or if the probationer evidenced a perceived problem or psychological diagnosis. The findings suggest probation departments could benefit from training officers to recognize and strengthen the helping alliance with their probationers, from utilizing sanctions issued by the probation officer to increase readiness for change, and from assisting probationers in identifying an internalized problem that results in interval motivation

American Society of Clinical Oncology Summit on Addressing Obesity Through Multidisciplinary Provider Collaboration: Key Findings and Recommendations for Action

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139117/1/oby21987.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/139117/2/oby21987_am.pd

Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque

Carotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European ancestry from nine large studies in the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. We then sought additional evidence to support our findings among 11,273 individuals using data from seven additional studies. In the combined meta-analysis, we identified three genomic regions associated with common carotid intima media thickness and two different regions associated with the presence of carotid plaque (P < 5 × 10 -8). The associated SNPs mapped in or near genes related to cellular signaling, lipid metabolism and blood pressure homeostasis, and two of the regions were associated with coronary artery disease (P < 0.006) in the Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) consortium. Our findings may provide new insight into pathways leading to subclinical atherosclerosis and subsequent cardiovascular events

The future of International Classification of Diseases coding in steatotic liver disease:An expert panel Delphi consensus statement

BACKGROUND: Following the adoption of new nomenclature for steatotic liver disease, we aimed to build consensus on the use of International Classification of Diseases codes and recommendations for future research and advocacy.METHODS: Through a two-stage Delphi process, a core group (n = 20) reviewed draft statements and recommendations (n = 6), indicating levels of agreement. Following revisions, this process was repeated with a large expert panel (n = 243) from 73 countries.RESULTS: Consensus ranged from 88.8% to 96.9% (mean = 92.3%).CONCLUSIONS: This global consensus statement provides guidance on harmonizing the International Classification of Diseases coding for steatotic liver disease and future directions to advance the field.</p

Epigenetic age acceleration in adolescence associates with BMI, inflammation and risk score for middle age cardiovascular disease

BACKGROUND: 'Accelerated ageing', assessed by adult DNA methylation predicts cardiovascular disease (CVD). Adolescent accelerated aging might predict CVD earlier. We investigated whether epigenetic age acceleration (assessed age 17-years) associated with adiposity/CVD-risk measured (ages 17, 20, 22-years), and projected CVD by middle-age. METHODS: DNA methylation measured in peripheral blood provided 2 estimates of epigenetic age acceleration; intrinsic (IEAA, (preserved across cell types) and extrinsic (EEAA, dependent on cell admixture and methylation levels within each cell type).Adiposity was assessed by anthropometry, ultrasound and DEXA (ages 17, 20, 22 years). CVD-risk factors (lipids, HOMA-IR, blood pressure, inflammatory markers) were assessed at age 17-years. CVD development by age 47 years was calculated by Framingham algorithms. Results are presented as regression coefficients/5-year epigenetic age acceleration (IEAA/EEAA) for adiposity, CVD-risk factors and CVD development. RESULTS: In 995 participants (49.6% female, age 17.3+/-0.6 years), EEAA (/5-years) was associated with increased BMI of 2.4% (95%CI 1.2-3.6%) and 2.4% (0.8-3.9%) at 17 and 22 years, respectively. EEAA was associated with increases of 23% (3-33%) in hsCRP, 10% (4-17%) in interferon-gamma induced protein (IP-10) and 4% (2-6%) in tumour necrosis factor receptor 2 (sTNFR2), adjusted for BMI and HOMA-IR. EEAA(/5-years) results in a 4% increase in hard endpoints of CVD by 47 years old and a 3% increase, after adjustment for conventional risk factors. CONCLUSIONS: Accelerated epigenetic age in adolescence was associated with inflammation, BMI measured 5 years later, and probability of middle-age CVD. Irrespective whether this is cause or effect, assessing epigenetic age might refine disease prediction

Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

The Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort study: Assessment of environmental exposures

The Canadian Healthy Infant Longitudinal Development birth cohort was designed to elucidate interactions between environment and genetics underlying development of asthma and allergy. Over 3600 pregnant mothers were recruited from the general population in four provinces with diverse environments. The child is followed to age 5 years, with prospective characterization of diverse exposures during this critical period. Key exposure domains include indoor and outdoor air pollutants, inhalation, ingestion and dermal uptake of chemicals, mold, dampness, biological allergens, pets and pests, housing structure, and living behavior, together with infections, nutrition, psychosocial environment, and medications. Assessments of early life exposures are focused on those linked to inflammatory responses driven by the acquired and innate immune systems. Mothers complete extensive environmental questionnaires including time-activity behavior at recruitment and when the child is 3, 6, 12, 24, 30, 36, 48, and 60 months old. House dust collected during a thorough home assessment at 3–4 months, and biological specimens obtained for multiple exposure-related measurements, are archived for analyses. Geo-locations of homes and daycares and land-use regression for estimating traffic-related air pollution complement time-activity-behavior data to provide comprehensive individual exposure profiles. Several analytical frameworks are proposed to address the many interacting exposure variables and potential issues of co-linearity in this complex data set

Genome-wide association analysis identifies six new loci associated with forced vital capacity

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10−8) with FVC in or near EFEMP1, BMP6, MIR129-2–HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease

Association of Forced Vital Capacity with the Developmental Gene <i>NCOR2</i>

Background Forced Vital Capacity (FVC) is an important predictor of all-cause mortality in the absence of chronic respiratory conditions. Epidemiological evidence highlights the role of early life factors on adult FVC, pointing to environmental exposures and genes affecting lung development as risk factors for low FVC later in life. Although highly heritable, a small number of genes have been found associated with FVC, and we aimed at identifying further genetic variants by focusing on lung development genes. Methods Per-allele effects of 24,728 SNPs in 403 genes involved in lung development were tested in 7,749 adults from three studies (NFBC1966, ECRHS, EGEA). The most significant SNP for the top 25 genes was followed-up in 46,103 adults (CHARGE and SpiroMeta consortia) and 5,062 chi