Morsingmorgan5786

Background Multiple factors contribute to the etiology of addiction, including genetics, sex, and a number of addiction-related behavioral traits. One behavioral trait where individuals assign incentive salience to food stimuli ("sign-trackers", ST) are more impulsive compared to those that do not ("goal-trackers", GT), as well as more sensitive to drugs and drug stimuli. Furthermore, this GT/ST phenotype predicts differences in other behavioral measures. Recent studies have implicated the gut microbiota as a key regulator of brain and behavior, and have shown that many microbiota-associated changes occur in a sex-dependent manner. However, few studies have examined how the microbiome might influence addiction-related behaviors. To this end, we sought to determine if gut microbiome composition was correlated with addiction-related behaviors determined by the GT/ST phenotype. Methods Outbred male (N=101) and female (N=101) heterogeneous stock rats underwent a series of behavioral tests measuring impulsivity, aerial families Ruminocococcaceae and Lachnospiraceae. see more Conclusions These data demonstrate correlations between several addiction-related behaviors and the microbiome specific to sex.Background Child abuse is a prevalent problem with short and long-term consequences. While most countries have enacted child abuse reporting laws, the Saudi healthcare system has not paid sufficient attention to nurses' role in the reporting of child abuse. Objective This study aimed to 1) identify the factors associated with nurses' intention to report child abuse by testing a hypothetical model; 2) examine the patterns underlying their intention to report child abuse; and 3) investigate the differences in reporting based on clinical practice areas. Participants and setting A convenience sample of 248 nurses recruited from emergency and pediatric inpatient units and primary healthcare centers in Riyadh, Saudi Arabia was used. Methods In this cross-sectional study, data were collected using the Child Abuse Report Intention Scale and another self-report measure in February 2019. Results Most nurses had not reported even one case of child abuse during their clinical practice. Knowledge about child abuse (β = .210, P = 0.000), subjective norms (β = .218, P = 0.001), and organizational support in guideline implementation (β = .138 P = 0.038) were significantly associated with the intention to report child abuse. Nurses reported a stronger intention to report child sexual abuse than other types of abuse. Clinical practice areas were significantly associated with nurses' intention to report child abuse. Conclusions Nurses' professional preparation for child abuse reporting is inadequate. The findings underscore the importance of enhancing their knowledge about child abuse and reporting laws, promoting social support, and creating an empowering clinical environment.Monitoring of environmental contaminants is a critical part of exposure sciences research and public health practice. Missing data are often encountered when performing short-term monitoring ( less then 24 h) of air pollutants with real-time monitors, especially in resource-limited areas. Approaches for handling consecutive periods of missing and incomplete data in this context remain unclear. Our aim is to evaluate existing imputation methods for handling missing data for real-time monitors operating for short durations. In a current field-study, realtime PM2.5 monitors were placed outside of 20 households and ran for 24-hours. Missing data was simulated in these households at four consecutive periods of missingness (20%, 40%, 60%, 80%). Univariate (Mean, Median, Last Observation Carried Forward, Kalman Filter, Random, Markov) and multivariate time-series (Predictive Mean Matching, Row Mean Method) methods were used to impute missing concentrations, and performance was evaluated using five error metrics (Absolute Bias, Percent Absolute Error in Means, R2 Coefficient of Determination, Root Mean Square Error, Mean Absolute Error). Univariate methods of Markov, random, and mean imputations were the best performing methods that yielded 24-hour mean concentrations with the lowest error and highest R2 values across all levels of missingness. When evaluating error metrics minute-by-minute, Kalman filters, median, and Markov methods performed well at low levels of missingness (20-40%). However, at higher levels of missingness (60-80%), Markov, random, median, and mean imputation performed best on average. Multivariate methods were the worst performing imputation methods across all levels of missingness. Imputation using univariate methods may provide a reasonable solution to addressing missing data for short-term monitoring of air pollutants, especially in resource-limited areas. Further efforts are needed to evaluate imputation methods that are generalizable across a diverse range of study environments.Objective Oncological resections have become more radical in pursuit of disease free margins. Consequently, vascular structures may be injured inadvertently or purposely resected, with or without subsequent reconstruction. Thus, vascular surgeons have an increasing role in oncological surgery. The present authors sought to review their experience and examine the effect of timing of referral to a Vascular Surgeon (VS) on patient and surgical outcomes following tumour resection. Methods A retrospective review was conducted of a prospectively maintained database at a public hospital network in Adelaide, Australia. All cases of collaboration between a VS and other surgeons for resection of cancer or non-malignant tumour were included. Medical records and operative, pathological, and transfusion data were reviewed, with particular attention to referring team, timing of VS referral (pre- or intra-operative), and the operative role of the VS. Results Seventy-two cases were identified from January 2004 to June 2018. The most common collaborators were General Surgery and Urology. Of the cases, 86% were elective and 71% were referred to the VS pre-operatively. Pre-operative referral was associated with a predominant VS role of dissection and exposure. Pre-operative referral was associated with lower odds of vessel repair and reconstruction compared with intra-operative referral (adjusted OR = 0.20; 95% CI 0.04-0.93; p = .040) and a lower incidence of positive surgical margins (35% vs. 80%, p = .028). The rate of blood product units required was lower among pre-operative referrals relative to intra-operative referrals, but the effect of timing was not significant after adjustment for potential confounders (IRR = 0.80, 95% CI 0.26-2.44; p = .70). Conclusion Pre-operative planned involvement of vascular surgery in oncological operations can improve surgical outcomes, with additional expected benefits for surgical training and cross specialty collaboration.