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. 2019 Apr-Jun;65(2):87-92.
doi: 10.4103/jpgm.JPGM_293_18.

Prevalence and correlates of cyberchondria among professionals working in the information technology sector in Chennai, India: A cross-sectional study

S Makarla  1 , V Gopichandran  1 , D Tondare  1
Affiliations

Prevalence and correlates of cyberchondria among professionals working in the information technology sector in Chennai, India: A cross-sectional study

S Makarla et al. J Postgrad Med. 2019 Apr-Jun.

Abstract

Background: Cyberchondria is the excessive searching of online health information that leads to anxiety and distress. There is scarce information about its prevalence in low and middle-income country settings.

Objectives: The objective of the study was to assess the prevalence and factors influencing cyberchondria among employees working in the information technology sector in India.

Methods: An emailed questionnaire-based cross-sectional survey was conducted among 205 employees working in various information technology firms in and around Chennai. The data were analyzed using nonhierarchical k-means cluster analysis to group participants with and without cyberchondria on its four subdomains. The association of cyberchondria with general mental health as measured by the General Health Questionnaire 12 was studied using independent sample t-test. Logistic regression analysis was performed to study the association between general mental health and cyberchondria after adjusting for sociodemographic covariates.

Results: The prevalence of cyberchondria was 55.6%. The dominant pattern was excessiveness of online searching, requirement of reassurance followed by distress due to health anxiety, and compulsivity. Cyberchondria was negatively associated with general mental health (adj. OR 0.923; 95% CI 0.882-0.967) after adjusting for age, sex, education, and years of service.

Conclusions: Cyberchondria is an emerging public mental health problem in India. Since it is associated with poor mental health, measures need to be adopted to evaluate, prevent, and treat it at the population level.

Keywords: Cyberchondria; excessiveness; mental well-being; reassurance.

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Conflict of interest statement

None

Figures

Figure 1
Figure 1
The score distribution of the sample in the four subscales, namely, compulsivity (mean 6.73; standard division 3.10), distress (mean 8.04; standard division 3.04), excessiveness (mean 9.35; standard division 2.85), and reassurance (mean 8.72; standard division 3.31). It is seen that the mean score was highest for excessiveness and least for compulsivity
Figure 2
Figure 2
The negative correlation between the general mental health score and the cyberchondria severity score among the participants who were classified as having cyberchondria and those classified as being normal. It is seen that the participants having cyberchondria (red dots) had greater cyberchondria severity scores and lesser general mental health scores
Figure 3
Figure 3
The box plot of the mean general mental health scores obtained from the GHQ 12 scale for the two clusters. The cyberchondria cluster had a lower mean general mental health score and this was statistically significant by the independent sample t-test (P < 0.001)
See this image and copyright information in PMC

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