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• W4220795758 abstract "<sec> <title>BACKGROUND</title> Temperature-taking behaviors vary with levels of circulating infectious illness; however, little is known about how these behaviors differ by demographic characteristics. </sec> <sec> <title>OBJECTIVE</title> We investigated differences in temperature-taking frequency and the proportion of readings that were feverish among demographic groups (age, gender, urban/rural status) over influenza offseason, influenza season, and Waves 1, 2, and 3 of the COVID-19 pandemic. </sec> <sec> <title>METHODS</title> Using data from smart thermometers collected from May 1, 2019, to February 28, 2021, across the United States, we calculated the frequency of temperature-taking and the proportion of temperature readings that were feverish. Mixed effects negative binomial and mixed effects logistic regression analyses were performed to identify demographic characteristics associated with temperature-taking frequency and the proportion of feverish readings, respectively. Separate models were fit over five study periods: influenza offseason (n=122,480), influenza season (n=174,191), Wave 1 of COVID-19 (n=350,385), Wave 2 (n=366,489), and Wave 3 (n=391,578). </sec> <sec> <title>RESULTS</title> Both temperature-taking frequency and the proportion of feverish readings differed by study period (ANOVA: P<.001) and were highest during influenza season. During all periods, children aged 2-5 years and 6-11 years had significantly higher frequencies of temperature-taking than users aged 19-30 years, and children had the highest proportion of feverish readings of all age groups, after adjusting for covariates. During Wave 1 of COVID-19, users over age 60 years had 1.79 times (95% CI: 1.76, 1.83) the rate of temperature-taking as users aged 19-30 years, and 74% lower odds (95% CI: 72-75%) of a reading being feverish. Across all periods, males had significantly lower temperature-taking frequency and significantly higher odds of having a feverish reading compared to females. Users living in urban areas had significantly higher frequencies of temperature-taking than rural users during all periods, except Wave 2 of COVID-19, and urban users had higher odds of a reading being feverish in all study periods except Wave 1 of COVID-19. </sec> <sec> <title>CONCLUSIONS</title> Temperature-taking behavior and the proportion of readings that were feverish are associated with both population disease levels and individual demographic characteristics. Differences in the health behavior of temperature-taking may reflect changes in both perceived and actual illness risk. Specifically, older adults may have experienced an increase in perceived risk during the first three waves of COVID-19, leading to increased rates of temperature monitoring, even when their odds of fever were lower than younger adults. </sec>" @default.
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• W4220795758 date "2022-02-23" @default.
• W4220795758 modified "2023-09-26" @default.
• W4220795758 title "Circulating illness and changes in thermometer use behavior: a series of cross-sectional analyses, United States, 2019-2021 (Preprint)" @default.
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• W4220795758 doi "https://doi.org/10.2196/preprints.37509" @default.
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