Background and Aims: Alcohol-associated liver disease (ALD) pathologies include steatosis, inflammation, and injury, which may progress to fibrosis, cirrhosis, and cancer. The liver receives ~60% of fatty acids from adipose tissue triglyceride hydrolysis, but the role of this lipolytic pathway in ALD development has not been directly examined in any genetic animal models with selective inactivation of adipose lipolysis.Approach and Results: Using adipose-specific comparative gene identification-58 (CGI-58) knockout (FAT-KO) mice, a model of impaired adipose lipolysis, we show that mice deficient in adipose lipolysis are almost completely protected against ethanol-induced hepatic steatosis and lipid peroxidation when subjected to the National Institute on Alcohol Abuse and

Introduction: Teaching is a stressful occupation due to high-stake job demands and limited resources, which were exacerbated during the initial phase of the COVID-19 pandemic. Our study assessed the prevalence of perceived stress and explored its predictors among elementary school teachers employed at schools serving predominantly low-income populations in five cities in the United States. Method: Our study analyzed the data among selected schools that were collected through the Brighter Bites teacher survey which comprised items measuring sociodemographic characteristics, perceived stress, perceived general health, food insecurity, and concerns regarding social determinants of health needs. The predictors of perceived stress were examined using generalized linear mixed models (GLMMs) with schools as the random variable. Findings: A total of 685 teachers were included in the analysis (84.9% female, 38.1% Hispanic, 57.6% <5 years of teaching experience). Most (85.4%) of the teachers stated they were stressed “sometimes”/“often.” Results from adjusted GLMM showed that teachers who were food insecure (adjusted odds ratio [AOR]: 2.33, confidence interval [CI]: [1.63, 3.35]), those who had concerns regarding financial stability (2.68 [1.91, 3.75]), food availability (1.69 [1.15, 2.48]), food affordability (2.27 [1.57, 3.28]), availability/affordability of housing (2.21 [1.33, 3.67]), access to childcare (1.76 [1.06, 2.92]), and access to a clinic/doctor (1.60 [1.10, 2.33]) were at significantly greater odds of reporting perceived stress. Conclusion/Application for Practice: Our study demonstrates the heightened impact of COVID-19 on the mental well-being of teachers across a wide range of social needs. Stress management and additional social service programs are suggested to support teachers to mitigate pandemic impact.

The purpose of this study was to evaluate the impact of a nutrition intervention on food insecurity among low-income households with children. Data were collected from 371 parent–child dyads in a quasi-experimental evaluation study of a 1-year intervention (n = 6 intervention schools receiving Brighter Bites, n = 6 wait-list control schools), and longitudinal follow-up of the intervention group 2 years post-intervention in Houston, Texas. Data were collected at three timepoints: at baseline and 1 year for all participants, and at 2 year follow-up for the intervention group (the wait-list control group received the intervention during that time). At baseline, most parents reported food insecurity (60.6%; 70% intervention group, 53.6% control). Food insecurity decreased significantly from 70.0% to 56.9% [β = −1.02 (−1.65, −0.38); p = 0.002] among intervention participants immediately post-intervention, and to 44.4% at 2-year follow-up [β = 0.21 (0.11, 0.41); p < 0.001]. Food insecurity also decreased among the control group, and between-group changes were not significant. While we cannot attribute changes in food insecurity to Brighter Bites (possibly due to small sample size), we did see promising impacts of the program to be assessed in future fully powered studies.

Objective. To identify key indicators that will allow empirical measurement of a health system’s responsiveness to older people. Methods. We conducted a series of consultations with experts to develop a relevant list of indicators. Concept mapping was used to devise the list, including the steps of preparation, brainstorming and structuring. Additionally, four countries were used as national case studies to test the feasibility of measuring health system responsiveness with readily available national-level data (Barbados, Brazil, Chile, and Mexico). Results. Our study resulted in a list of 25 indicators scored with high usefulness for informing public policy, 10 of which were also categorized as being of high availability. National case studies were useful to assess the feasibility of measuring health system responsiveness in different settings. Conclusions. Responsiveness can be comprehensively assessed by (i) approaching the intrinsic features of the system via its inputs, outputs, and outcomes, and (ii) measuring the impact of the system on meeting the needs of older people in terms of their health, financial protection, and expectations. Further consensus is needed to develop a list of core indicators that could be used as a baseline for measuring a health system’s responsiveness to the needs of older people.