PURPOSE: Early COVID-19 mitigation relied on people staying home except for essential trips. The ability to stay home may differ by sociodemographic factors. We analyzed how factors related to social vulnerability impact a community's ability to stay home during a stay-at-home order. METHODS: Using generalized, linear mixed models stratified by stay-at-home order (mandatory or not mandatory), we analyzed county-level stay-at-home behavior (inferred from mobile devices) during a period when a majority of United States counties had stay-at-home orders (April 7 to April 20, 2020) with the Centers for Disease Control and Prevention Social Vulnerability Index. RESULTS: Counties with higher percentages of single-parent households, mobile homes, and persons with lower educational attainment were associated with lower stay-at-home behavior compared with counties with lower respective percentages. Counties with higher unemployment, higher percentages of limited-English-language speakers, and more multi-unit housing were associated with increases in stay-at-home behavior compared with counties with lower respective percentages. Stronger effects were found in counties with mandatory orders. CONCLUSIONS: Sociodemographic factors impact a community's ability to stay home during COVID-19 stay-at-home orders. Communities with higher social vulnerability may have more essential workers without work-from-home options or fewer resources to stay home for extended periods, which may increase risk for COVID-19. Results are useful for tailoring messaging, COVID-19 vaccine delivery, and responses to future outbreaks.

BACKGROUND: Warmer temperature can alter seasonality of pollen as well as pollen concentration, and may impact allergic diseases such as hay fever. Recent studies suggest that extreme heat events will likely increase in frequency, intensity, and duration in coming decades in response to changing climate. OBJECTIVE: The overall objective of this study was to investigate if extreme heat events are associated with hay fever. METHODS: We linked National Health Interview Survey (NHIS) data from 1997 to 2013 (n = 505,386 respondents) with extreme heat event data, defined as days when daily maximum temperature (TMAX) exceeded the 95th percentile values of TMAX for a 30-year reference period (1960-1989). We used logistic regression to investigate the associations between exposure to annual and seasonal extreme heat events and adult hay fever prevalence among the NHIS respondents. RESULTS: During 1997-2013, hay fever prevalence among adults 18 years and older was 8.43%. Age, race/ethnicity, poverty status, education, and sex were significantly associated with hay fever status. We observed that adults in the highest quartile of exposure to extreme heat events had a 7% increased odds of hay fever compared with those in the lowest quartile of exposure (odds ratios: 1.07, 95% confidence interval: 1.02-1.11). This relationship was more pronounced for extreme heat events that occurred during spring season, with evidence of an exposure-response relationship (Ptrend < .01). CONCLUSIONS: Our data suggest that exposure to extreme heat events is associated with increased prevalence of hay fever among US adults.

This study examined food availability along children's paths to and from elementary school, and associations with change in body mass index (BMI) and waist circumference over 1 year. Secondary data from 319 children aged 8-13 years from the "Multiple Opportunities to Reach Excellence" Project was used. Child anthropometry and demographic variables were obtained at baseline (2007) and 1 year follow-up. Food outlet locations (n = 1,410) were obtained from the Baltimore City Health Department and validated by ground-truthing. Secondary data on healthy food availability within select food stores in Baltimore City in 2007 were obtained via a validated food environment assessment measure, the Nutrition Environments Measures Study. Multilevel models were used to examine associations between availability of healthy food and number of various food outlets along paths to school and child anthropometric change over 1 year. Controlling for individual-, neighborhood-, and school-level characteristics, results indicated that higher healthy food availability within a 100 m buffer of paths to school was associated with 0.15 kg/m(2) lower BMI gain (p = 0.015) and 0.47 cm smaller waist circumference gain (p = 0.037) over 1 year. Although prior research has illuminated the importance of healthy food choices within school and home environments, the current study suggests that exposure to the food environment along paths to school should be further explored in relation to child health outcomes.