Objective To describe variations in COVID‐19 confirmed cases and deaths among assisted living (AL) residents and examine their associations with key AL characteristics. Design Observational study employing data on confirmed COVID‐19 cases and deaths in ALs from seven states, through May 29, 2020. Setting Information on COVID‐19 cases/deaths in ALs was obtained from state government websites. A national inventory of ALs was used to identify communities with and without COVID‐19 cases/deaths. Medicare Beneficiary Summary File (MBSF) identifying AL residents was employed to develop AL characteristics. County‐level COVID‐19 lab‐confirmed cases/deaths were obtained from publicly available data. Participants We found 4,865 ALs (2,647 COVID‐19 cases and 777 deaths) in the 7 states. After excluding missing data the sample consisted of 3,994 ALs (82.1%) with 2,542 cases (96.0%) and 675 deaths (86.9%). Main Outcomes and Measures Outcomes were AL‐level counts of cases and deaths. Covariates were AL characteristics and county‐level confirmed COVID‐19 cases/deaths. Multivariable 2‐part models determined the associations of independent variables with the likelihood of at least one case and death in the AL, and with the count of cases (deaths). Results State case fatality ranged from 3.32% in North Carolina to 9.26% in Connecticut, but for ALs in these states it was 12.89% and 31.59%, respectively. Among ALs with at least 1 case, mid‐size communities had fewer cases (IRR=0.829; p=0.004), than very small ALs. ALs with higher proportions of racial/ethnic minorities had more COVID‐19 cases (IRR=1.08; p<0.001), as did communities with higher proportions of residents with dementia, COPD and obesity. Conclusions and Relevance ALs with a higher proportion of minorities had more COVID‐19 cases. Many of the previously identified individual risk factors are also present in this vulnerable population. The impact of COVID‐19 on ALs is as critical as that on nursing homes, and is worth equal attention from policy makers.

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Significant immunological, physical and neurological benefits of breastfeeding in infancy are well-established, but to what extent these gains persist into later childhood remain uncertain. This study examines the association between breastfeeding duration and subsequent domain-specific cognitive performance in a diverse sample of 9–10-year-olds enrolled in the Adolescent Brain Cognitive Development (ABCD) Study®. The analyses included 9,116 children that attended baseline with their biological mother and had complete neurocognitive and breastfeeding data. Principal component analysis was conducted on data from an extensive battery of neurocognitive tests using varimax-rotation to extract a three-component model encompassing General Ability, Executive Functioning, and Memory. Propensity score weighting using generalized boosted modeling was applied to balance the distribution of observed covariates for children breastfed for 0, 1–6, 7–12, and more than 12 months. Propensity score-adjusted linear regression models revealed significant association between breastfeeding duration and performance on neurocognitive tests representing General Ability, but no evidence of a strong association with Executive Function or Memory. Benefits on General Ability ranged from a 0.109 (1–6 months) to 0.301 (&gt;12 months) standardized beta coefficient difference compared to those not breastfed. Results indicate clear cognitive benefits of breastfeeding but that these do not generalize to all measured domains, with implications for public health policy as it pertains to nutrition during infancy.

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