Background: Mask wearing has been shown to be an effective strategy for slowing the spread of COVID-19. While early studies have uncovered some evidence of racial and ethnic differences in mask-wearing behavior, critical gaps remain. We begin to address these gaps by (1) more comprehensively investigating the role of race and ethnicity on mask wearing during the COVID-19 pandemic and (2) examining whether gender intersects with race and ethnicity to differently influence mask-wearing patterns.
Methods: Data were drawn from the COVID-19 Impact Survey, a cross-sectional, nationally representative survey of adults living in the U.S. Data were pooled from three time points that ranged from late April 2020 to early June 2020. The final analytic sample consisted of 4688 non-institutionalized adults living in the U.S. A series of logistic regression models with robust standard errors were used to estimate differences in mask-wearing patterns.
Results: Compared with White respondents, results revealed Black, Latina/o, and Asian respondents were more likely to report wearing a mask in response to the coronavirus. Moreover, results show White men were least likely to wear a mask from late April 2020 to early June 2020.
Conclusion: Overall, findings demonstrate mask-wearing patterns during the COVID-19 pandemic are differently shaped by racial and ethnic background and gender. Findings from this study can inform targeted strategies designed to increase mask-wearing adherence among U.S. adults.
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http://dx.doi.org/10.1007/s40615-020-00941-1 | DOI Listing |
JAMIA Open
February 2025
Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN 46202, United States.
Objective: Measurement of health-related social needs (HRSNs) is complex. We sought to develop and validate computable phenotypes (CPs) using structured electronic health record (EHR) data for food insecurity, housing instability, financial insecurity, transportation barriers, and a composite-type measure of these, using human-defined rule-based and machine learning (ML) classifier approaches.
Materials And Methods: We collected HRSN surveys as the reference standard and obtained EHR data from 1550 patients in 3 health systems from 2 states.
J Nutr Sci
August 2024
Sleep Disorders Center, Division of Sleep Medicine, Department of Neurology, Michigan Medicine, Ann Arbor, MI, USA.
The objective was to examine associations between social jetlag and diet quality among young adults in the US using nationally representative data from the 2017-2018 NHANES survey, and evaluate effect modification by gender and race/ethnicity. Social jetlag was considered ≥2-hour difference in sleep midpoint (median of bedtime and wake time) between weekends and weekdays. Diet quality was assessed with the Healthy Eating Index (HEI)-2015 and its 13 dietary components.
View Article and Find Full Text PDFArthrosc Sports Med Rehabil
December 2024
Department of Orthopaedic Surgery, The Keck School of Medicine, University of Southern California, Los Angeles, California, U.S.A.
Purpose: To investigate the characteristics and rate of sociodemographic variables reported in randomized controlled trials (RCTs) studying platelet-rich plasma (PRP) injections in the treatment of knee osteoarthritis (OA).
Methods: In January 2024, PubMed, Scopus, and Web of Science databases were queried for the phrase "Platelet-Rich Plasma Knee Osteoarthritis." Included studies were RCTs investigating PRP use in knee OA published in English between 2012 and 2023.
J Clin Periodontol
January 2025
College of Medicine and Science Mayo Clinic, Rochester, Minnesota, USA.
Background: Periodontal disease (PD) is a prevalent, preventable and treatable oral infection associated with substantial morbidity globally. There is little information from population-representative cohort studies about the sociodemographic, educational and other early life factors that stratify PD risk.
Methods: We used data from the U.
J Racial Ethn Health Disparities
January 2025
Department of Obstetrics & Gynecology, Kaiser San Francisco, San Francisco, CA, USA.
Objective: To evaluate race and ethnicity differences in rates of cesarean delivery on maternal request (CDMR) in nulliparous, term, singleton, vertex presentation (NTSV) cesarean deliveries.
Methods: We conducted a retrospective cohort study of NTSV cesarean deliveries within our institution from 2016 to 2020. The primary outcome was CDMR and the primary predictor was maternal race and ethnicity.
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