Prevalence and Determinants of Unmet Social Needs Among Rural and Urban Veterans.

PURPOSE: To examine the prevalence and determinants of nine unmet social needs among rural compared with urban Veterans. METHODS: Retrospective study using survey data collected in 2020 merged with Veterans Health Administration (VA) administrative data. For each unmet need, separate logistic regression modes were run predicting the odds of rural compared with urban Veterans endorsing the need adjusting for sociodemographic characteristics and comorbidities. FINDINGS: 2,801 Veterans responded to the survey (53.7% response rate). Veterans experienced high rates of need (e.g., 22% reported food insecurity). Unmet need prevalence varied minimally between rural and urban Veterans and where they did, rural Veterans were less likely to endorse the need (e.g., loneliness). For many unmet needs, Black compared with White Veterans were at higher risk. Regional unmet need disparities were also observed. CONCLUSIONS: As VA considers expanding unmet need interventions, tailoring interventions to the sub-populations most at risk may be warranted.

Genome-Wide Analysis of Translation in Replicatively Aged Yeast.

Protein synthesis is an essential process that affects major cellular functions including growth, energy production, cell signaling, and enzymatic reactions. However, how it is impacted by aging and how the translation of specific proteins is changed during the aging process remain understudied. Although yeast is a widely used model for studying eukaryotic aging, analysis of age-related translational changes using ribosome profiling in this organism has been challenging due to the need for isolating large quantities of old cells. Here, we provide a detailed protocol for genome-wide analysis of protein synthesis using ribosome profiling in replicatively aged yeast. By combining genetic enrichment of old cells with the biotin affinity purification step, this method allows large-scale isolation of aged cells sufficient for generating ribosome profiling libraries. We also describe a strategy for normalization of samples using a spike-in with worm lysates that permits quantitative comparison of absolute translation levels between young and old cells.