Trends in health behavior at an afterschool program: the impact of COVID-19 on students' behavior.

BACKGROUND: A minority of American youth meet CDC physical activity (PA) recommendations; children in the Bronx face additional structural barriers to engaging in PA. The B'N Fit Power expansion draws on pilot programming to increase the proportion of middle school students who engage in one hour of daily PA. The COVID-19 pandemic presented additional obstacles, including increased food insecurity and suspension of organized PA programming. This research aimed to evaluate differences in baseline target behavior attainment before and after the start of the COVID-19 pandemic to inform future programming to help children reduce their risk of obesity. METHODS: Afterschool program leaders at three Bronx public schools collected demographic and target behavior data at baseline and attendance data throughout the school year. RESULTS: During the 2016-2017 and 2017-2018 school years, 76 students enrolled and completed one year of programming, which was administered at a single site (61% Hispanic, 46% female). Of these, 76 (100%) completed a baseline target behaviors questionnaire. During the 2021-2022 school year, 417 students enrolled and completed one year of programming at one of the three sites (70% Hispanic, 48% female). 89 (21%) completed a baseline target behaviors questionnaire. Participants surveyed after the start of the COVID-19 pandemic reported drinking more sugar-sweetened beverages (Median=3 daily, IQR 2-5), sleeping less (Median=8 hours daily, IQR 6-9 hours), and consuming fast food more frequently (Median=1 time weekly, IQR 0 times weekly-2 to 3 times weekly) than those surveyed prior to the start of the pandemic. The number of PA hours completed each week trended toward significant decline (Median=3, IQR 2-5, p=0.09) in students tracked after the start of the pandemic . CONCLUSIONS: The attainment of several target behaviors among school children linked to the reduction of childhood obesity declined during the COVID-19 pandemic. These findings can be applied to enhancing existing real-world afterschool PA programming.

The U.S. COVID-19 County Policy Database: a novel resource to support pandemic-related research.

BACKGROUND: It is increasingly recognized that policies have played a role in both alleviating and exacerbating the health and economic consequences of the COVID-19 pandemic. There has been limited systematic evaluation of variation in U.S. local COVID-19-related policies. This study introduces the U.S. COVID-19 County Policy (UCCP) Database, whose objective is to systematically gather, characterize, and assess variation in U.S. county-level COVID-19-related policies. METHODS: In January-March 2021, we collected an initial wave of cross-sectional data from government and media websites for 171 counties in 7 states on 22 county-level COVID-19-related policies within 3 policy domains that are likely to affect health: (1) containment/closure, (2) economic support, and (3) public health. We characterized the presence and comprehensiveness of policies using univariate analyses. We also examined the correlation of policies with one another using bivariate Spearman's correlations. Finally, we examined geographical variation in policies across and within states. RESULTS: There was substantial variation in the presence and comprehensiveness of county policies during January-March 2021. For containment and closure policies, the percent of counties with no restrictions ranged from 0% (for public events) to more than half for public transportation (67.8%), hair salons (52.6%), and religious gatherings (52.0%). For economic policies, 76.6% of counties had housing support, while 64.9% had utility relief. For public health policies, most were comprehensive, with 70.8% of counties having coordinated public information campaigns, and 66.7% requiring masks outside the home at all times. Correlations between containment and closure policies tended to be positive and moderate (i.e., coefficients 0.4-0.59). There was variation within and across states in the number and comprehensiveness of policies. CONCLUSIONS: This study introduces the UCCP Database, presenting granular data on local governments' responses to the COVID-19 pandemic. We documented substantial variation within and across states on a wide range of policies at a single point in time. By making these data publicly available, this study supports future research that can leverage this database to examine how policies contributed to and continue to influence pandemic-related health and socioeconomic outcomes and disparities. The UCCP database is available online and will include additional time points for 2020-2021 and additional counties nationwide.