During the early months of the COVID-19 pandemic, opportunities for indoor and sometimes outdoor recreation were restricted across the world. Despite restrictions, many greenways and rail-trails saw increased use. Messaging from the federal and state public health authorities stressed the importance of social distancing and other preventive measures in reducing spread of the coronavirus. Little is known about actual behaviors of individuals and groups using these outdoor recreational opportunities. This study used passive infrared cameras to systematically observe physical distancing behaviors on multi-user trails in Boone, North Carolina, and Morgantown, West Virginia, to assess safety implications of trail use during June 2020. Most interactions (72.2%) occurred with the recommended six feet of distance between users. Maintaining six feet of distance is more likely to occur when a single individual passes another single individual (88.2%), users pass while traveling in opposite directions (75.9%), and trails are wider (76.8% on 12 ft width trail vs. 62.6% on a 10 ft width trail). Messaging on multi-user trails should target how groups pass other groups, such as "keep six feet" and "pass single file."
Adherence to public health messaging recommending physical distancing in public outdoor spaces during the early months of the COVID-19 pandemic and strategies to promote physical distancing are currently unknown. This study examined the effectiveness of a point-of-decision prompt to increase physical distancing (maintaining at least 6 ft of distance) on greenways and rail-trails using systematic observation with passive infrared cameras. Results indicate that the intervention did not have a significant effect on interacting groups maintaining physical distance. However, groups maintaining physical distance increased from baseline (72%) to post-intervention (79%) and likelihood of maintaining physical distance at baseline and post-intervention was higher when: passing in the opposite direction compared to passing in the same direction; using 12-foot-wide trails compared to 10-foot-wide trails; and only one person was in each group. These results provide important implications for public health and parks and recreation professionals to promote physical distancing on multi-use trails.
Introduction: Trails are ubiquitous and far-reaching, but research on the impact trails have on physical activity is limited by the lack of resource-efficient, accurate, and practical systematic observation tools. Commonly used infrared trail sensors count trail use and may broadly differentiate activity (i.e., bicyclist vs. pedestrian), but cannot detect nuances needed for outcomes research such as frequency, intensity, time, and type of activity. Motion-activated passive infrared cameras (PICs), used in ecological research and visitor management in wildlife areas, have potential applicability as a systematic observation data collection tool. Materials and Methods: We conducted a 7-month field test of a PIC as a systematic observation data collection tool on a hiking trail, using photos to identify each trail user's physical activity type, age, sex, and other characteristics. We also tallied hourly trail use counts from the photos, using Bland–Altman plots, paired t -tests, Concordance Correlation Coefficient, Kendall's Tau-b, and a novel inter-counter reliability measure to test concordance against concurrent hourly counts from an infrared sensor. Results: The field test proved informative, providing photos of 2,447 human users of the trail over 4,974 h of data collection. Nearly all of the users were walkers (94.0%) and most were male (69.2%). More of the males used the trail alone (44.8%) than did females (29.8%). Concordance was strong between instruments ( p < 0.01), though biased ( p < 0.01). Inter-counter reliability was 91.1% during the field study, but only 36.2% when excluding the hours with no detectable trail use on either device. Bland–Altman plots highlighted the tendency for the infrared sensor to provide higher counts, especially for the subsample of hours that had counts >0 on either device (14.0%; 694 h). Discussion: The study's findings highlight the benefits of using PICs to track trail user characteristics despite the needs to further refine best practices for image coding, camera location, and settings. More widespread field use is limited by the extensive amount of time required to code photos and the need to validate the PICs as a trail use counter. The future potential of PICs as a trail-specific PA research and management tool is discussed.
This first of three documentary volumes U.S. Trotskyism 1928-1965. Part I: Emergence, spans 1928 to 1940, with a rich selection of primary sources on labor and social struggles, intellectual history, and the revolutionary impact of Leon Trotsky’s perspectives on U.S. socialism.
The purpose of this study is to explore the associations between polypharmacy and multimorbidity using conventional and novel measures of polypharmacy. In this cross-sectional study, data on fee-for-service (FFS) Medicaid enrollees with at least 1 chronic condition and aged 18–64 years (N = 38,329) were derived from the 2010 Medicaid Analytic eXtract (MAX) files of Maryland and West Virginia. Polypharmacy, by the authors' novel definition, was determined as simultaneous use of ≥5 drugs for a consecutive period of 60 days. Multimorbidity was defined as having ≥2 chronic conditions based on the US Department of Health and Human Services framework. The association between multimorbidity and polypharmacy was examined with chi-square tests and logistic regression. Polypharmacy prevalence was estimated at 50.9% using the novel definition, as compared to 16.7% and 64.9% for the 2 commonly used conventional measures, respectively. For all 3 definitions, individuals with multimorbidity were more likely to have polypharmacy than those without multimorbidity (P < 0.001). The authors also consistently found, using all definitions, that those who were older, female, white, and eligible for Medicaid because of cash assistance were more likely to have polypharmacy (all P < 0.001). Polypharmacy was highly prevalent and significantly associated with multimorbidity among Medicaid FFS enrollees irrespective of the definitions used. The new measure may provide a more comprehensive and accurate estimation of polypharmacy than the conventional measures. These findings suggest the need for a paradigm shift from disease-specific care to patient-centered collaborative care to manage patients with multimorbidity and polypharmacy.
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