Investigation of the effect of internet addiction on cyberchondria.

Abstract

This research was conducted to examine the effect of internet addiction on cyberchondria. The research is important to understand how today's digital technologies contribute to health-related concerns and affect individuals' perceptions of health. Quantitative research design was used in this research conducted in Konya, a metropolitan city in Turkey. The study was conducted using the convenience sampling method on 403 participants. In the research, 'Personal Information Form', 'Internet Addiction Scale' and 'Cyberchondria Scale' were used. The data were analyzed with the SPSS program. As an analysis method, upon determining that the data were normally distributed, t-test, ANOVA, Pearson correlation and simple linear regression analyzes were applied in independent groups. The majority of participants (69%) were female, 52.9% were between the ages of 18-27 and 53.8% were married. In terms of education level, 44.9% had a bachelor's degree or higher, and 59.6% earned minimum wage or less. Among the occupational groups, the largest proportion was students (31.5%), and their daily internet use was mostly 2-3 hours (44.4%). Internet is most frequently used for social media (47.4%) and news/agenda follow-up (25.1%). Within the scope of the research, internet addiction varies significantly according to the participants' age groups, education levels, professions, average daily internet usage time, and internet usage purposes; it was found that the cyberchondria levels of the participants showed significant differences according to the variables of income level, profession, daily internet usage time and internet use purpose. The research revealed a positive and significant relationship between the level of internet addiction and the level of cyberchondria. It has also been observed that internet addiction has a positive and significant effect on cyberchondria. These results show that cyberchondria tendencies become stronger with the increase in internet use among individuals.