Sociodemographic and Occupational Characteristics Associated with Early and Continued COVID-19 Vaccine Uptake Among Healthcare Personnel: Monroe County, NY.

OBJECTIVE: Identify characteristics of healthcare personnel (HCP) who did not have timely initiation of the COVID-19 primary series, as well as HCP who did not receive a booster vaccine. METHODS: Characteristics of HCP enrolled in a COVID-19 vaccine effectiveness study between 12/28/2020-12/01/2022 were compared by timing of receipt of 1st mRNA dose, and by receipt of a booster dose. Data for this retrospective cohort analysis came from HCP working at a large healthcare system in Monroe County, New York, and included standardized questionnaires and verified vaccination status. HCP were categorized by whether they received their 1stmRNA COVID-19 vaccine between 12/14/2020-03/30/2021 (earlier) or 04/01/2021-09/28/2021 (later) based on timing of local vaccine eligibility and mandates, and by whether they received a 3rdmRNA booster dose by 12/01/22. Logistic regression models were run to identify characteristics of HCP who had later 1stdose receipt or did not receive a booster. RESULTS: 3,375 HCP were enrolled. Of these, 86.8 % had early initiation of their 1stCOVID-19 vaccine, and 85.0 % received a booster dose. Low education, low household income, younger age (<50), non-White race and public health insurance were all significant predictors of later receipt of 1stdose and lack of uptake of a booster. However, advanced professional role was only found to be a significant predictor of early 1stdose receipt. CONCLUSIONS: Continual monitoring of COVID-19 vaccine uptake among HCP to identify those less likely to receive new booster doses will be crucial to support targeted vaccine campaigns in this important population.

Dietary carbohydrate intake is associated with the subgingival plaque oral microbiome abundance and diversity in a cohort of postmenopausal women.

Limited research exists on carbohydrate intake and oral microbiome diversity and composition assessed with next-generation sequencing. We aimed to better understand the association between habitual carbohydrate intake and the oral microbiome, as the oral microbiome has been associated with caries, periodontal disease, and systemic diseases. We investigated if total carbohydrates, starch, monosaccharides, disaccharides, fiber, or glycemic load (GL) were associated with the diversity and composition of oral bacteria in subgingival plaque samples of 1204 post-menopausal women. Carbohydrate intake and GL were assessed from a food frequency questionnaire, and adjusted for energy intake. The V3-V4 region of the 16S rRNA gene from subgingival plaque samples were sequenced to identify the relative abundance of microbiome compositional data expressed as operational taxonomic units (OTUs). The abundance of OTUs were centered log(2)-ratio transformed to account for the compositional data structure. Associations between carbohydrate/GL intake and microbiome alpha-diversity measures were examined using linear regression. PERMANOVA analyses were conducted to examine microbiome beta-diversity measures across quartiles of carbohydrate/GL intake. Associations between intake of carbohydrates and GL and the abundance of the 245 identified OTUs were examined by using linear regression. Total carbohydrates, GL, starch, lactose, and sucrose intake were inversely associated with alpha-diversity measures. Beta-diversity across quartiles of total carbohydrates, fiber, GL, sucrose, and galactose, were all statistically significant (p for PERMANOVA p < 0.05). Positive associations were observed between total carbohydrates, GL, sucrose and Streptococcus mutans; GL and both Sphingomonas HOT 006 and Scardovia wiggsiae; and sucrose and Streptococcus lactarius. A negative association was observed between lactose and Aggregatibacter segnis, and between sucrose and both TM7_[G-1] HOT 346 and Leptotrichia HOT 223. Intake of total carbohydrate, GL, and sucrose were inversely associated with subgingival bacteria alpha-diversity, the microbial beta-diversity varied by their intake, and they were associated with the relative abundance of specific OTUs. Higher intake of sucrose, or high GL foods, may influence poor oral health outcomes (and perhaps systemic health outcomes) in older women via their influence on the oral microbiome.