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Disaster Med Public Health Prep ; 17: e447, 2023 07 31.
Article in English | MEDLINE | ID: mdl-37519243

ABSTRACT

OBJECTIVE: The study examined factors associated with food and water stockpiling (FWS) during the COVID-19 pandemic. METHODS: A secondary analysis of online survey data collected in two waves: April 2020 (wave 1) and June/July 2020 (wave 2), was conducted through REDCap web application. A total of 2,271 Non-Latino Black and Latino adults (mean age: 36.8 years (SD = 16.0); 64.3% female) living in Illinois were recruited. Participants self-reported if they stockpiled food and/or water (FWS) seven days prior to survey completion because of the pandemic. Logistic regression was used to determine if each variable was associated with the odds of reporting FWS. RESULTS: Nearly a quarter (23.3%) of participants reported FWS. The adjusted model revealed that odds of FWS increase as the number of household members increased (OR: 1.21; 95% CI: 1.05-1.41). Odds of FWS were lower among participants who were not self-quarantining compared to those self-quarantining all the time (OR: 0.32; 95% CI: 0.17 - 0.62). Furthermore, individuals with lower levels of concern about COVID-19 had lower odds of FWS than those extremely concerned. CONCLUSIONS: Household size, self-quarantine status, and concern about COVID-19 were significantly associated with FWS. These findings highlight the need to address the concerns of marginalized individuals to promote healthy behaviors.


Subject(s)
Black or African American , COVID-19 , Food Supply , Hispanic or Latino , Strategic Stockpile , Water Supply , Adult , Female , Humans , Male , COVID-19/epidemiology , COVID-19/ethnology , COVID-19/psychology , Health Behavior/ethnology , Hispanic or Latino/psychology , Hispanic or Latino/statistics & numerical data , Pandemics/statistics & numerical data , SARS-CoV-2 , Strategic Stockpile/statistics & numerical data , Black or African American/psychology , Black or African American/statistics & numerical data , Food Supply/statistics & numerical data , Water Supply/statistics & numerical data , Young Adult , Middle Aged , Illinois/epidemiology
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