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Prevalence and Psychosocial Predictors of Cyberchondria in Nigeria During the COVID-19 Pandemic
Abstract
The uncertainties surrounding the COVID-19 pandemic and frequently changing information about the virus heighten the potentials cyberchondria. This study investigated the prevalence and predictors of cyberchondria among Nigerians during the COVID-19 pandemic. Participants (n=406, 268 males, Mage = 37.68 years, SD = 10.78) completed an online survey consisting of validated measures of cyberchondria, health anxiety, neuroticism, quality of life, medical history, and socio-demographic information. Participants (Mscore= 27.44±7.31) reported moderate to high levels of cyberchondria. Results of hierarchical regression showed that although all predictor variables collectively predicted cyberchondria with 22% of explained variance, the strongest predictors of cyberchondria were health anxiety and the number of prior hospital visits. Reducing the level of cyberchondria during the COVID-19 pandemic requires the ability to deal with health-related fear and effectively managing the uncertainties surrounding online health information.
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