Social support, mental health, academic coping, and perceptions of teaching quality during COVID-19: A cross-lagged panel model of university students in Israel.

Although social support is strongly related to college students' mental health in the context of COVID-19, little is known about the academic mechanisms that explain and influence this relationship. This knowledge gap limits our ability to create effective interventions. Our current study extends the previous research by using longitudinal data from 2020 to 2021 and leveraging a unique panel dataset from over 1,500 university students in Israel. By using a cross-lagged panel model, we examine how the relationship between social support and mental health is partially explained by academic coping, as well as how these relationships differ across perceived teaching quality. We find that academic coping partially explains the relationship between social support and depression for students who perceived higher-quality instruction but not for students who perceived lower-quality instruction. Moreover, these relationships are not apparent for anxiety, suggesting that anxiety may relate to out-of-school considerations like pandemic-related health concerns and hardships. We close with implications for policy and practice.

Potential Benefits of Black Chokeberry (Aronia melanocarpa) Fruits and Their Constituents in Improving Human Health.

Aronia berry (black chokeberry) is a shrub native to North America, of which the fresh fruits are used in the food industry to produce different types of dietary products. The fruits of Aronia melanocarpa (Aronia berries) have been found to show multiple bioactivities potentially beneficial to human health, including antidiabetic, anti-infective, antineoplastic, antiobesity, and antioxidant activities, as well as heart-, liver-, and neuroprotective effects. Thus far, phenolic compounds, such as anthocyanins, cyanidins, phenolic acids, proanthocyanidins, triterpenoids, and their analogues have been identified as the major active components of Aronia berries. These natural products possess potent antioxidant activity, which contributes to the majority of the other bioactivities observed for Aronia berries. The chemical components and the potential pharmaceutical or health-promoting effects of Aronia berries have been summarized previously. The present review article focuses on the molecular targets of extracts of Aronia berries and the examples of promising lead compounds isolated from these berries, including cyanidin-3-O-galactoside, chlorogenic acid, quercetin, and ursolic acid. In addition, presented herein are clinical trial investigations for Aronia berries and their major components, including cancer clinical trials for chlorogenic acid and COVID-19 trial studies for quercetin. Additionally, the possible development of Aronia berries and their secondary metabolites as potential therapeutic agents is discussed. It is hoped that this contribution will help stimulate future investigations on Aronia berries for the continual improvement of human health.

Improving Maternal Health and Birth Outcomes Through FreshRx: A Food-Is-Medicine Intervention.

PURPOSE: Food insecurity has far-reaching consequences for health and well-being, especially during pregnancy and postpartum periods. This study examines a food-is-medicine approach that aimed to reduce food insecurity, maternal stress, depression, anxiety, preterm labor, and low birthweight. DESIGN: Pre-post interventional study of FreshRx: Nourishing Healthy Starts, a pregnancy focused food-is-medicine program led by a local hunger relief organization and obstetrics department. SETTING: St. Louis, Missouri, a Midwestern U.S. city with higher-than-average infant mortality, low birthweight, and preterm birth rates. SAMPLE: Participants (N = 125) recruited from a local obstetrics clinic had pregnancies earlier than 24 weeks gestation; spoke English; and were enrolled in Medicaid. At baseline, 67.0% reported very low food security and none reported high food security, while 34.7% indicated depressive symptoms. INTERVENTION: FreshRx included weekly deliveries of fresh food meal kits, nutrition counseling and education, care coordination, and supportive services. MEASURES: 18-Question U.S. Household Food Security Survey, Edinburgh Postnatal Depression Scale, birthweight, gestational age. ANALYSIS: Single arm pre-post analysis. RESULTS: Average gestational age of 38.2 weeks (n = 84) and birthweight of 6.7 pounds (n = 81) were higher than rates for the general population in the area. For study participants who completed a sixty-day post-partum assessment, 13% (n = 45) indicated maternal depression (P < .01). CONCLUSION: Food-is-medicine interventions may be an efficient, effective, and equitable tool for improving birth and maternal health outcomes.

Antibiotic safety among neonates and paediatrics in a public hospital: KwaZulu-Natal.

Background: The World Health Organization (WHO) guidelines recommend the empiric treatment of infections before definitive treatment begins. However, ethical concerns limit the availability of clinical trials in neonates and paediatrics to fully ascertain the safety profile of antibiotics in these populations. Aim: This study aimed to quantify the use of antibiotics among neonates and paediatrics and commented on the use, rationale and appropriateness of antibiotics prescribed. Setting: A secondary level public sector hospital located in Durban, KwaZulu-Natal. Methods: Demographic and treatment information of neonates and paediatrics were collected retrospectively from January 2022 to June 2022. Data were obtained from patient files and extracted for analysis using Microsoft Excel®. Analytical and descriptive statistics were used to analyse patient demographics and treatment variables. Results: A total of 568 antibiotics, issued to 389 patients, were reviewed. Penicillins (40.1%), aminoglycosides (24.3%) and combination penicillin-beta-lactam inhibitors (23.3%) were identified as the most frequently prescribed antibiotics for inpatients. Most antibiotics prescribed to inpatients were for complications associated with pre-term birth (66.9%). Combination penicillin-beta-lactam inhibitors (34.7%), penicillins (29.5%) and cephalosporins (29.5%) were the most frequently prescribed antibiotics to outpatients. A correlation was found between the route of administration and the duration of therapy; the intravenous route (63.6%) was preferred over the oral route (36.4%) for administration. Conclusion: Many broad-spectrum antibiotics were prescribed, thus increasing the risk of resistance. Antibiotics were being prescribed according to the guidelines; however, there is still a need for therapeutic drug monitoring to ensure the continuation of rational drug use. Contribution: There was evidence of rational use of antibiotics in the public hospital (KwaZulu-Natal), in keeping with economic and availability factors.

Implementation of Flexibilities to the National School Lunch and Breakfast Programs and Their Impact on Schools in Missouri.

BACKGROUND: In 2018, the United States Department of Agriculture (USDA) issued flexibilities to the National School Lunch and Breakfast Programs, relaxing the nutrition standards for milk, whole grains, and sodium. This study examines the implementation decision-making among Missouri school food services and the impact of implementing these flexibilities on the meals served. METHODS: We developed a survey using the Consolidated Framework of Implementation to determine schools' implementation of the flexibilities and factors related to implementation. To determine how the implementation of flexibilities affected participation, we merged the survey results with school-level meal county data from the Missouri Department of Elementary and Secondary Education. We used ordinary least squares regression to examine how flexibility adoption related to the number of meals served. RESULTS: Most schools implemented the wheat, milk, and sodium flexibilities. Common reasons for implementation were increasing participation, meeting students' preferences, expanding menu variety, and saving money. The implementation of flexibilities was associated with more lunches and breakfasts being served per month, particularly among free and reduced-price meals. CONCLUSIONS: Continued research is needed to determine how the increased uptake of school meals that do not fully meet dietary guidelines by low-income students results in inequities in health outcomes. The findings can inform the design and implementation of future policies, especially as new rules related to flexibility design are determined.

Connecting the Dots between Barriers to W.I.C. Access and Adult and Child Food Insecurity: A Survey of Missouri Residents.

Background. Previous research has explored the impact of W.I.C. on recipients' health, but less is known about the connection between barriers to W.I.C. access and health outcomes. We fill in a gap in the literature by studying the relationship between barriers to Special Supplemental Nutrition Program for Women, Infants, and Children (W.I.C.) access and adult and child food insecurity. Methods. After survey administration, we analyzed a cross-sectional sample of 2244 residents in Missouri who have used W.I.C. or lived in a household with a W.I.C. recipient in the past three years. We ran logistic regression models to understand the relationships among barriers to W.I.C. utilization, adult food insecurity, and child food insecurity. Results. Having special dietary needs (for adults), lacking access to technology, encountering inconvenient clinic hours of operation, and experiencing difficulties taking off work were associated with increased adult food insecurity. Difficulties finding WIC-approved items in the store, technological barriers, inconvenient clinic hours, difficulties taking off work, and finding childcare were associated with increased child food insecurity. Conclusion. Barriers to accessing and utilizing W.I.C. are associated with adult and child food insecurity. However, current policies suggest promising approaches to curbing these barriers.

How does social support relate to emotional availability for learning during COVID-19? A multi-group structural equation model of university students from the U.S. and Israel.

Given the social and emotional tolls of the COVID-19 pandemic on college and university students, many students have become academically disengaged during the pandemic. Although some colleges and universities have the capacity to promote social support for their students, research has yet to comprehensively demonstrate the relationship between social support and academic engagement. To fill this gap, we leverage survey results from four universities across the United States and Israel. Through multi-group structural equation modelling, we explore (a) how perceived social support relates to being emotionally unavailable for learning, (b) how this relationship is partially explained through coping and COVID-19 concerns, and (c) how these relationships can differ across countries. We find that students who perceived higher levels of social support had lower rates of being emotionally unavailable for learning. Part of this relationship occurred through greater rates of coping and, subsequently, fewer concerns about the pandemic. We also noticed significant differences in these relationships between countries. We conclude with a discussion of study implications for higher education policies and practices.

Correction to: Intersecting Race and Gender Across Hardships and Mental Health During COVID 19: A Moderated Mediation Model of Graduate Students at Two Universities.

[This corrects the article DOI: 10.1007/s12552-022-09379-y.].

Intersecting Race and Gender Across Hardships and Mental Health During COVID-19: A Moderated-Mediation Model of Graduate Students at Two Universities.

While the effects of the pandemic on the mental health of college students can vary across race and gender, few studies have explored the role of hardships and university assistance in these disparities, as well as how these disparities can manifest themselves differently across intersections of race and gender. We address this gap by using unique survey data (n = 417) from two large graduate schools of social work, public health, and social policy in the United States. Using multi-group structural equation modeling, we explore how material hardships, academic hardships, and university assistance needed mediates the relationship between race and mental health, including depression and anxiety. We also explore how gender moderates these relationships. We find that Black students are directly related to material hardships and-through these hardships-indirectly related to increased depression, indicating mediation. However, material hardships did not mediate the relationship between race and anxiety. Furthermore, while academic hardships mediated the relationships between race and depression, as well as race and anxiety, these relationships were only significant for females, indicating moderated-mediation. Moreover, although university assistance needed mediated the relationship between race and depression for females only, university assistance needed mediated the relationship between race and anxiety for both males and females. We close with implications for policy and practice.

How Did School Meal Access Change during the COVID-19 Pandemic? A Two-Step Floating Catchment Area Analysis of a Large Metropolitan Area.

SARS-CoV-2 (COVID-19) resulted in school closures and contingencies across the U.S. that limited access to school meals for students. While some schools attempted to provide alternative meal access points where students or parents could pick up meals, many students-especially those in low-income households-lacked adequate transportation to these access points. Thus, physical proximity to meal access points was particularly important during the pandemic. In this study, we explore how school meal access changed during the COVID-19 pandemic, especially as it relates to race/ethnicity and socio-economic status. Taking into account both the "supply" (meal access points) and the "demand" (low-income students) for free meals, we employed a two-step floating catchment area analysis to compare meal accessibility in St. Louis, Missouri before and during the pandemic in the spring and summer of 2019 and 2020. Overall, while school meal access decreased during the spring of 2020 during the early months of the pandemic, it increased during the summer of 2020. Moreover, increased access was greatest in low-income areas and areas with a higher proportion of Black residents. Thus, continuing new policies that expanded access to school meals-especially for summer meal programs-could lead to positive long-term impacts on children's health and well-being.

Multi-modal biomarkers of low back pain: A machine learning approach.

Chronic low back pain (LBP) is a very common health problem worldwide and a major cause of disability. Yet, the lack of quantifiable metrics on which to base clinical decisions leads to imprecise treatments, unnecessary surgery and reduced patient outcomes. Although, the focus of LBP has largely focused on the spine, the literature demonstrates a robust reorganization of the human brain in the setting of LBP. Brain neuroimaging holds promise for the discovery of biomarkers that will improve the treatment of chronic LBP. In this study, we report on morphological changes in cerebral cortical thickness (CT) and resting-state functional connectivity (rsFC) measures as potential brain biomarkers for LBP. Structural MRI scans, resting state functional MRI scans and self-reported clinical scores were collected from 24 LBP patients and 27 age-matched healthy controls (HC). The results suggest widespread differences in CT in LBP patients relative to HC. These differences in CT are correlated with self-reported clinical summary scores, the Physical Component Summary and Mental Component Summary scores. The primary visual, secondary visual and default mode networks showed significant age-corrected increases in connectivity with multiple networks in LBP patients. Cortical regions classified as hubs based on their eigenvector centrality (EC) showed differences in their topology within motor and visual processing regions. Finally, a support vector machine trained using CT to classify LBP subjects from HC achieved an average classification accuracy of 74.51%, AUC = 0.787 (95% CI: 0.66-0.91). The findings from this study suggest widespread changes in CT and rsFC in patients with LBP while a machine learning algorithm trained using CT can predict patient group. Taken together, these findings suggest that CT and rsFC may act as potential biomarkers for LBP to guide therapy.

Project management for developing a spine "enhanced recovery after surgery" program in a large university-affiliated hospital.

Enhanced recovery after surgery (ERAS) programs for spine surgery have been developed throughout Europe and the United States leading to reduced hospital stay lengths, reduced opioid consumption, and faster return to activities of daily living and exercise. Development and execution of an ERAS spine program require commitment from the physician practice and collaborative hospital along with commitments from the entire health care team. Navigating this process can be a daunting task for a surgeon, whose traditional training involves no project management. Here we review our experience in the development of an ERAS program at a major academic medical institution and tertiary-care hospital in the USA from a program management perspective. In this manuscript, we provide the language and an outline to educate a surgeon on the project management processes needed to develop and initiate a pilot spine ERAS program.