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Sex Differences in COVID-19 Infection Fear in a Community Sample of Korean Adults Using Quantile Regression
Hyunjoo Na1, Young-Eun Jung2, Chang Park3
1College of Nursing, The Catholic University of Korea, Seoul, Korea.
Abstract:
This study aims to explore the impact of distributional changes in coronavirus disease 2019 (COVID-19) infection fear with sex differences. A quota sampling strategy was followed and 483 Korean adults were surveyed in a community sample. Self-report questionnaires were used to assess COVID-19 infection fear, depressive symptoms, and general characteristics. Quantile regression was used to explore the regression relationship of COVID-19 infection fear and an individual's sex. There was a significant difference in COVID-19 infection fear (P = 0.001) and depression (P = 0.008) between the sexes - male and female. The differences between sexes at the 20th and 30th percentiles were significant (β = 2.04, P = 0.006; β = 1.5, P = 0.004, respectively). The results demonstrate that sex significantly predicts COVID-19 infection fear and women had significantly greater fear than men in the mild-level of COVID-19 infection fear.
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