Abstract
The main purpose of this study is to explain the relationship between individuals' cyberchondria levels and their life satisfaction during the pandemic process. At the same time, it is aimed to determine whether there is a statistical difference between cyberchondria and life satisfaction and demographic characteristics of individuals. Sociodemographic information form, Cyberchondria Severity Scale and Life Satisfaction Scale were used as data collection tools. Within the scope of the research, 416 participants were reached. Structural equation modeling, Mann-Whitney U Test, Kruskal-Wallis H Test and Miller Method were used in the analysis of the data. During the pandemic period, there is a significant difference between life satisfaction, compulsion and doctor confidence scores and gender. There is a statistically significant difference between life satisfaction and age. There is a statistical difference between life satisfaction, compulsion and trust in doctor and marital status. There is a significant difference between education level and life satisfaction, compulsion, trust in doctor and cyberchondria. There is statistically significant difference between life satisfaction and trust in doctor and ıncome level. There is a significant difference between physical activity and presence of chronic disease and life satisfaction. As a result, there are statistically significant differences between demographic variables and life satisfaction and cyberchondria and its sub-dimensions. There is also a low level of relationship between life satisfaction and cyberchondria.
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