Working memory decline has been associated with normal aging. The frontal brain structure responsible for this decline is primarily located in the prefrontal cortex (PFC). Our previous neuroimaging study demonstrated a significant change in functional connectivity between the left dorsolateral PFC (DLPFC) and left ventrolateral PFC (VLPFC) when applying 2 mA tDCS in MRI scanner during an N-Back task. These regions were part of the working memory network. The present study is the first study that utilizes individualized finite element models derived from older adults' MRI to predict significant changes of functional connectivity observed from an acute tDCS application. Individualized head models from 15 healthy older adults (mean age = 71.3 years) were constructed to create current density maps. Each head model was segmented into 11 tissue types: white matter, gray matter, CSF, muscle, blood vessels, fat, eyes, air, skin, cancellous, and cortical bone. Electrodes were segmented from T1-weighted images and added to the models. Computed median and maximum current density values in the left DLPFC and left VLPFC regions of interest (ROIs) were correlated with beta values as functional connectivity metrics measured in different timepoint (baseline, during stimulation) and stimulation condition (active and sham). Positive significant correlations (R² = 0.523 for max J, R² = 0.367 for median J, p < 0.05) were found between the beta values and computed current densities in the left DLPFC ROIs for active stimulation, but no significant correlation was found during sham stimulation. We found no significant correlation between connectivity and current densities computed in the left VLPFC for both active and sham stimulation. The amount of current within the left DLPFC ROIs was found positively correlated with changes in functional connectivity between left DLPFC and left VLPFC during active 2 mA stimulation. Future work may include expansion of number of participants to further test the accuracy of tDCS models used to predict tDCS-induced functional connectivity changes within the working memory network.

Background: Opioid analgesic therapy has been traditionally used for pain management; however, the variability in patient characteristics, complexity in evaluating pain, availability of treatment within facilities, and U.S. physicians overprescribing opioids have contributed to the current opioid epidemic. Despite large research efforts investigating the patterns of postsurgical pain management and influencing factors, it remains unclear how these overall trends vary across the varying sizes and available resources of academic hospitals, community hospitals, and outpatient surgery centers. The primary aim of this scoping review was to examine the patterns of contemporary postoperative pain management across healthcare settings, including academic medical centers, community hospitals, and outpatient surgery centers. Specifically, this study investigates how prescription practices for opioids, NSAIDs, and acetaminophen are influenced by patient demographics, including sex, race, gender, insurance status, and other social determinants of health (SDoH), to inform equitable and patient-centered pain management strategies. Methods: This study utilized The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) and was used as a reference checklist. The Arksey and O’Malley methodological framework was used to guide the review process. To ensure comprehensive coverage, searches were conducted across three major databases: PubMed, Embase, and Cochrane Library. Results: A total of 43 eligible studies were retained for analysis. The highest reported Healthy People 2030 category was Social and community context (n = 39), while the highest reported category of SDoH was age (n = 36). A total of 34 articles listed sex and age as SDoH. Additional SDoH examined were race/ethnicity (n = 17), insurance (n = 7), employment (n = 1), education (n = 4), and income (n = 1). This review suggests that there are significant gaps in the implementation of institution-specific, patient-centered, and equitable pain management strategies, particularly in academic hospitals, which our findings show have the highest rates of opioid and NSAID prescriptions (n = 26) compared to outpatient surgical centers (n = 8). Findings from our review of the literature demonstrated that while academic hospitals often adopt enhanced recovery protocols aimed at reducing opioid dependence, these protocols can fail to address the diverse needs of at-risk populations, such as those with chronic substance use, low socioeconomic status, or racial and ethnic minorities. Conclusions: Findings from this review are expected to have implications for informing both organizational-specific and nationwide policy recommendations, potentially leading to more personalized and equitable pain management strategies across different healthcare settings. These include guidelines for clinicians on addressing various aspects of postoperative pain management, including preoperative education, perioperative pain management planning, use of different pharmacological and nonpharmacological modalities, organizational policies, and transition to outpatient care.

Background: This study examines nationwide prevalence of US childhood behavioral, mental, and developmental problems in the 6–11 age group category between 2019 and 2022, and several key metrics related to caregiver social determinants of health. Methods: We used NSCH data for 6–11-year-old children for the years 2019–2022. Summary statistics for the selected sample were generated and binary logistic regressions were conducted for each severity level binary variable for each study year with caregiver mental or emotional health as a covariate. Results: Our study found significant associations between severe childhood anxiety and “fair” or “poor” caregiver rankings of mental and emotional health for both the 2020 and 2022 survey years. Our study also found that caregiver mental and emotional health may play a role in childhood ADD and ADHD prevalence rates as caregivers who ranked their mental health as “fair” or “good” had significantly higher odds of having a child with severe ADD or ADHD than caregivers who reported “excellent” mental and emotional health. Conclusion: These findings support prospects of an increase in the need for developmental health services, thus necessitating efforts towards effective allocation and focus of developmental treatment programs tailored to children and pediatric population groups.

This study uses the National Survey of Children’s Health to examine the nationwide prevalence and severity of US adolescent mental health issues in the 12–17 age group between the years 2022 and 2023 in relation to parental mental health and exposure to adverse childhood experiences (ACEs). We used the NSCH data collected for 12–17-year-old adolescents. Descriptive statistics were generated for the selected sample and binary logistics regressions were conducted to examine influential factors for the presence and severity of adolescent depression and anxiety for the selected year. Adolescents aged 12–17 who experienced neighborhood violence had higher odds of being diagnosed with anxiety (OR = 1.369, p = 0.009) and depression (OR = 1.508, p = 0.004). Those living with someone who was mentally ill, suicidal, or severely depressed showed increased odds of anxiety (OR = 1.642, p < 0.001) and depression (OR = 1.587, p < 0.001). Adolescents judged unfairly due to a health condition or disability had markedly higher odds of anxiety (OR = 3.056, p < 0.001) and depression (OR = 1.835, p < 0.001), including severe forms (severe anxiety OR = 2.569; severe depression OR = 2.238; both p < 0.001). Poorer parental emotional health was consistently associated with higher adolescent anxiety and depression, with “fair” parental emotional health showing the strongest association for depression (OR = 7.320, p < 0.001). These findings demonstrate the need for better tailored mental health efforts towards both adolescents and their caregivers highlighting the harm of long-term environmental and familial stressors, and the gaps in community approaches in this population.

Objectives: The United States has been greatly impacted by the opioid overdose epidemic, and fentanyl has largely contributed to the rise in overdose deaths in the past decade. We have analyzed trends in fentanyl-related mortality amongst adolescents and young adults (AYAs) to further describe emerging trends by ethnicity, gender, and age. Methods: We used mortality data from the U.S. Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (WONDER) Multiple Cause of Death file from 2009 to 2022. Drug overdose mortalities were identified using International Classification of Diseases, Tenth Revision (ICD-10) codes. Joinpoint regression was used to examine mortality rates involving fentanyl by ethnicity (Hispanic and non-Hispanic), gender, and age category. Results: The Average Annual Percent Change (AAPC) for fentanyl-involved mortality increased for all adolescents and young adults within the United States from 2009 to 2022. The greatest AAPCs for fentanyl-related mortalities occurred amongst, Hispanic AYAs, Male AYAs, and 13–18-year-olds. Conclusions: Significant increases in fentanyl-related mortalities have occurred in AYAs from 2009 to 2022. Disparities by ethnicity and emerging trends in gender and age category highlight the need for targeted approaches to help aid in reducing fentanyl-involved mortality amongst AYAs. There is an urgent need for harm reduction and public health efforts to address this escalating crisis.

Objective: The objective of this retrospective cross-sectional study is to explore how caregiver social determinants of health, appraisal of healthcare provider effectiveness, and insurance coverage influence caregiver ability to have their adolescent child access vision care, including completion of annual vision screening, visiting an ophthalmologist or optometrist, and completion of recommended additional screenings. Study Design: We used National Survey of Children’s Health (NSCH) data for 12–17-year-old adolescents for the years 2022 and 2023 (n = 37,425). Summary statistics for the selected sample were generated and binary logistic regressions were conducted. Outcome variables were the type of vision screening that occurred or not. Covariates were socioeconomic and demographic data of the adolescent’s primary caregiver. Independent variables were insurance coverage and healthcare provider’s skill and effectiveness. Results: Significant associations were reported between visiting an ophthalmologist or optometrist and each of spending enough time with patients; listening carefully to patients; and making patients feel like care is a partnership. Additionally, significant associations were reported between insurance coverage and both successful completion of vision screening and visiting an eye doctor. Conclusions: This study underscores the substantial impact of effectiveness of eye doctors in delivering annual vision exams and insurance adequacy on adolescent vision care engagement. Our results will inform the development of future evidence-based educational interventions to raise awareness on the importance of annual vision screenings in US adolescents and emphasize the need for screening mandates to advocate for this important public health issue.