Abstract
Objective: Understanding compliance with COVID-19 mitigation recommendations is critical for informing efforts to contain future infectious disease outbreaks. This study tested the hypothesis that higher levels of worry about COVID-19 illness among household caregivers would predict lower (a) levels of overall and discretionary social exposure activities and (b) rates of household SARS-CoV-2 infections. Methods: Data were drawn from a surveillance study of households with children (N = 1913) recruited from 12 U.S. cities during the initial year of the pandemic and followed for 28 weeks (data collection: 1-May-2020 through 22-Feb-2021). Caregivers rated how much they worried about family members getting COVID-19 and subsequently reported household levels of outside-the-home social activities that could increase risk for SARS-CoV-2 transmission at 14 follow-ups. Caregivers collected household nasal swabs on a fortnightly basis and peripheral blood samples at study conclusion to monitor for SARS-CoV-2 infections by polymerase chain reaction and serology. Primary analyses used generalized linear and generalized mixed-effects modelling. Results: Caregivers with high enrollment levels of worry about COVID-19 illness were more likely to reduce direct social contact outside the household, particularly during the U.S.'s most deadly pandemic wave. Households of caregivers with lower COVID-19 worry had higher odds of (a) reporting discretionary outside-the-home social interaction and (b) SARS-CoV-2 infection. Conclusions: This was, to our knowledge, the first study showing that caregiver COVID-19 illness worry was predictive of both COVID-19 mitigation compliance and laboratory-determined household infection. Findings should inform studies weighing the adaptive value of worrying about infectious disease outbreaks against established detrimental health effects.
Original language | English (US) |
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Article number | 102936 |
Journal | Preventive Medicine Reports |
Volume | 49 |
DOIs | |
State | Published - Jan 2025 |
Funding
This work was supported by the National Institutes of Health [1UM2AI117870, 3PO1 AI089473-07S1, 3R01AI130348-04S1, 3U19AI070235-14S1, 3U54AI117804-06S1, 3U54AI117804-07S1, 3UM1AI114271-06S1, 3UM1AI114271-07S1, 5UM1AI114271, AI024156, AI050681, AI051598, AI089473, K24 AI106822, PO1HL70381, R01 AI127507, U01 AI110397, U19 AI095227-S1, U19 AI095227-S2, U19 AI104317, UM1 AI11427, R01 HL137192, U10 HL109172, UG3 OD023282, UH3 OD023282] and The National Center for Advancing Translational Sciences [1UL1 TR001430]. Funders had no role in data collection, analysis, interpretation, manuscript writing, or the decision to submit for publication.
Keywords
- Anxiety
- Mitigation
- Prevention
- SARS-CoV-2 infection
- Social distancing
- Surveillance
- Worry
ASJC Scopus subject areas
- Health Informatics
- Public Health, Environmental and Occupational Health