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This study aimed to investigate the connection between childhood abuse history and cardiovascular health indicators among a nationally representative sample of young adults aged 24-32. Using data from waves three and four of the National Longitudinal Study of Adolescent to Adult Health (n = 4, 164) multivariate logistic regression was employed to investigate childhood trauma (i.e., childhood physical abuse, sexual abuse, and neglect) as predictors for cardiovascular disease, hypertension, high cholesterol, diabetes, and obesity. Results showed that adults who reported history of sexual abuse were 4.3 times more likely to report diagnosis of cardiovascular disease and those who reported childhood physical abuse at wave three had 1.4 times the odds of reporting high cholesterol diagnosis. Although trauma history is often calculated as a composite, some forms of childhood abuse may have greater impacts on cardiovascular risk than others.

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BACKGROUND: First responders [law enforcement officers (LEO) and Fire/Emergency Medical Services (EMS)] can play a vital prevention role, connecting overdose survivors to treatment and recovery services. This study was conducted to examine the effect of occupational safety and harm reduction training on first responders' intention to refer overdose survivors to treatment, syringe service, naloxone distribution, social support, and care-coordination services, and whether those intentions differed by first responder profession. METHODS: First responders in Missouri were trained using the Safety and Health Integration in the Enforcement of Laws on Drugs (SHIELD) model. Trainees' intent to refer (ITR) overdose survivors to prevention and supportive services was assessed pre- and post-training (1-5 scale). A mixed model analysis was conducted to assess change in mean ITR scores between pre- and post-training, and between profession type, while adjusting for random effects between individual trainees and baseline characteristics. RESULTS: Between December 2020 and January 2023, 742 first responders completed pre- and post-training surveys. SHIELD training was associated with higher first responders' intentions to refer, with ITR to naloxone distribution (1.83-3.88) and syringe exchange (1.73-3.69) demonstrating the greatest changes, and drug treatment (2.94-3.95) having the least change. There was a significant increase in ITR score from pre- to post-test (ß = 2.15; 95% CI 1.99, 2.30), and LEO-relative to Fire/EMS-had a higher score at pre-test (0.509; 95% CI 0.367, 0.651) but a lower score at post-test (0.148; 95% CI - 0.004, 0.300). CONCLUSION: Training bundling occupational safety with harm reduction content is immediately effective at increasing first responders' intention to connect overdose survivors to community substance use services. When provided with the rationale and instruction to execute referrals, first responders are amenable, and their positive response highlights the opportunity for growth in increasing referral partnerships and collaborations. Further research is necessary to assess the extent to which ITR translates to referral behavior in the field.

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Background: Opioid overdose deaths continue to rise nationally. The demand for naloxone, the opioid overdose antidote, is outpacing the supply. With increasing naloxone requests, tools to prioritize distribution are critical to ensure available supplies will reach those at highest risk of overdose. Methods: We developed a standardized "Naloxone Request Form" (NRF) and corresponding weighted prioritization algorithm to serve as decisional aid to better enable grant staff to prioritize naloxone distribution in a data-driven manner. The algorithm computed raw priority scores for each agency, which were then separated into the predetermined quintiles. Historical naloxone distribution decisions were compared with agencies' prioritization quintile. Results: Results demonstrated that the NRF and corresponding algorithm was successful at prioritizing agencies based on potential impact. Although, overall, naloxone was distributed more heavily to the agencies deemed highest priority, our algorithm identified significant shortcomings of the "first come, first served" method of distribution we had initially deployed. Conclusions: This work has laid the foundation to use this tool prospectively to allow for data-driven decision-making for naloxone distribution. Our tool is flexible and can be customized to best fit the needs of a variety of programs and locations to ensure the distribution of limited supplies of naloxone have the greatest impact.

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Little is known about Young adults with Autism Spectrum Disorder (YA-ASD) health, healthcare and safety needs. This study describes the validation of a health care transition measure for YA-ASD, the Health-Related Independence (HRI). We collected data from caregivers (n = 490) at five Autism Treatment Network sites and compared the psychometric properties of HRI to the gold standard (STARx) and other validated measures. A Confirmatory Factor Analysis and item culling resulted in 30 items addressing six subscales. Content, criterion, and construct validity and internal consistency indicated high validity and reliability for the scale and subscales. HRI is a validated caregiver-report measure of YA-ASD's self-management, safety, and transition skills. This novel measure will be a useful tool in clinics, intervention development, and research.

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