Michaelsenjosefsen3160

INTRODUCTION This study examines the association between current e-cigarette use at baseline and regular cigarette smoking at follow-up among U.S. youth. Staurosporine METHODS A longitudinal analysis of youth (aged 12-17 years) data from Waves 1-3 of the Population Assessment of Tobacco and Health Study (2013-2016) was conducted between January 2019 and December 2019. Youth who reported past-30-day current e-cigarette use at baseline were identified and followed for regular cigarette smoking (≥20 days) at follow-up. RESULTS Compared with noncurrent e-cigarette users at baseline, current e-cigarette users (cigarette nonsmokers) had 5.0 (95% CI=1.9, 12.8) times higher odds of becoming regular cigarette smokers 1 year later. Additionally, there was a direct linear relationship between the number of days of e-cigarette use at baseline and the number of days of cigarette smoking 1 year later. CONCLUSIONS Current e-cigarette use among U.S. youth is associated with higher odds of transitioning to regular cigarette smoking, likely reflecting robust transitions rather than experimentation. These results suggest that promoting e-cigarettes as the current practice for tobacco harm reduction will likely have the unintended consequence of initiating youth cigarette smokers. INTRODUCTION Exposure to violence victimization may help explain disparities of substance use among gender-nonconforming youth (i.e., those whose gender expression differs from societal expectations). METHODS In 2015, three large urban school districts (2 in California and 1 in Florida) conducted a Youth Risk Behavior Survey that included the assessment of gender expression among a racially/ethnically diverse population-based sample of 6,082 high school students. Five categories of violence victimization were assessed (felt unsafe at school, threatened or injured with a weapon at school, bullied at school, electronically bullied, and forced sexual intercourse). In 2019, the effect of violence victimization on substance use disparities was examined by calculating sex-stratified prevalence ratios by gender nonconformity, adjusted for sexual identity, race/ethnicity, and grade (adjusted prevalence ratio 1 [APR1]), and comparing these with prevalence ratios adjusted for those variables plus violence victimization environment. Published by Elsevier Inc.INTRODUCTION Firearm injuries and motor vehicle injuries are 2 leading causes of fatal injury in the U.S., each accounting for approximately 35,000 deaths annually. Research on firearm injuries is under-represented compared with research on motor vehicle collisions. This study seeks to identify perceived barriers to firearm injury research versus motor vehicle injury research. METHODS This was a mixed-methods survey of corresponding authors of a minimum of 1 study, archived in PubMed, related to firearm injury or motor vehicle injury between 2014 and 2018. Analyses were performed in 2019. Electronic surveys included both closed- and open-ended questions to assess barriers to research. Bivariable and multivariable logistic regression was performed to identify differences in perceptions to barriers between the 2 groups. Qualitative analysis of free-text responses was performed through inductive derivation of themes. RESULTS Surveys were distributed to 113 firearm injury researchers (42% response rate) and 241 motor vehicle injury researchers (31.5% response rate). After adjustment, firearm injury researchers were less likely to cite institutional support (AOR=0.3, 95% CI=0.1, 0.8) as a factor contributing to their success, than motor vehicle injury researchers. Firearm injury researchers were more likely to report fear of personal threats (AOR=10.4, 95% CI=2.4, 44.4) and experiencing personal threats (AOR=16.1, 95% CI=1.6, 165.4). Thematic analysis revealed 4 themes career, political, funding, and harassment. CONCLUSIONS When compared with motor vehicle injury researchers, firearm injury researchers are significantly more likely to report limited support and threats to personal safety as barriers to research. Further research to understand the impact of these barriers and methods to overcome them is needed. INTRODUCTION Previous research shows the associations between secondhand smoke exposure and health consequences among youth, but less is known about its effect on academic performance. This study examines a dose-response relationship between secondhand smoke exposure and subsequent academic performance among U.S. youth. METHODS Data were from a nationally representative sample of youth non-tobacco users (aged 12-16 years) in Wave 2 (2014-2015) who completed Wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study (n=9,020). Past-7-day number of hours exposed to secondhand smoke at Wave 2 and academic performance at Wave 3 (1=Mostly As to 9=Mostly Fs) were assessed. Weighted multivariable linear regression models were used to examine the association between hours of self-reported secondhand smoke exposure at Wave 2 and academic performance at Wave 3 (1=Mostly Fs, 9=Mostly As), adjusting for covariates including sociodemographics, prior academic performance, internalizing and externalizing problems, and substance use problems. Analyses were conducted in 2019. RESULTS More than 30% of U.S. youth non-tobacco users were exposed to secondhand smoke in the past 7 days. Compared with unexposed youth at Wave 2, those who were exposed for 1-9 hours had poorer academic performance at Wave 3 (adjusted regression coefficient= -0.11, 95% CI= -0.18, -0.04), and those who were exposed for ≥10 hours at Wave 2 had even poorer academic performance (adjusted regression coefficient = -0.31, 95% CI= -0.45, -0.18). CONCLUSIONS A dose-response relationship was observed between secondhand smoke exposure and academic performance among U.S. youth. Reducing youth secondhand smoke exposure may promote academic performance and subsequent educational attainment. Published by Elsevier Inc.Through the Human Connectome Project (HCP) our understanding of the functional connectome of the healthy brain has been dramatically accelerated. Given the pressing public health need, we must increase our understanding of how connectome dysfunctions give rise to disordered mental states. Mental disorders arising from high levels of negative emotion or from the loss of positive emotional experience affect over 400 million people globally. Such states of disordered emotion cut across multiple diagnostic categories of mood and anxiety disorders and are compounded by accompanying disruptions in cognitive function. Not surprisingly, these forms of psychopathology are the leading cause of disability worldwide. The Research Domain Criteria (RDoC) initiative spearheaded by NIMH offers a framework for characterizing the relations among connectome dysfunctions, anchored in neural circuits and phenotypic profiles of behavior and self-reported symptoms. Here, we report on our Connectomes Related to Human Disease protocol for integrating an RDoC framework with HCP protocols to characterize connectome dysfunctions in disordered emotional states, and present quality control data from a representative sample of participants.