Problematic and compulsive online health research: The two faces of cyberchondria

Exploring associations between eHealth literacy, cyberchondria, online health information seeking and sleep quality among university students: A cross-section study

Background

University students are increasingly inclined to use the Internet for health-related purposes, and their sleep problems are becoming increasingly prominent. Currently, the relationship between sleep quality and online health-related searches is poorly understood. The aim of this study was to exam the associations of sleep quality, Internet use, eHealth literacy, online health information seeking and cyberchondria in the sample of Chinese university students.

Methods

A total of 2744 students completed self-reported questionnaires online containing the Pittsburgh Sleep Quality Index (PSQI), eHealth Literacy Scale, Online Health Information Seeking, Cyberchondria Severity Scale (CSS) and questions regarding sleep duration, Internet use, health status, and demographic information.

Results

The prevalence of poor sleep quality (PSQI >7) among the university students was 19.9% and 15.6% students slept less than 7 h per day. As time spent on online daily and playing phone before bed increased, the prevalence of sleep disturbance gained. Sleep disturbance was significantly associated with cyberchondria (OR = 1.545, p = 0.001), health status [good (OR = 0.625, p = 0.039), poor (OR = 3.128, p = 0.010), and fair (OR = 1.932, p = 0.001)]. Sleep quality, online health information seeking and eHealth literacy positively influenced with cyberchondria. Compared to 7-8 h sleep duration, online health information seeking (OR = 0.750, p = 0.012) was significantly associated with ≥8 h sleep duration.

Conclusion

Our findings highlighted poor health status, too much time spent on online daily and high cyberchondria level might decrease sleep quality in the sample of Chinese university students, further suggesting the need for developing interventions based on online health-related searches for improving sleep quality among university students.

Are Cyberchondria and Intolerance of Uncertainty Related to Smartphone Addiction?

Smartphones are a medium for performing online activities, and one such activity could be the compulsive online health information search - cyberchondria. This study aimed to test whether cyberchondria and intolerance of uncertainty (IU) positively predict smartphone addiction (SA), adjusted for age, gender, daily use duration, the reason for using smartphones, and symptoms of anxiety and depression. The sample consisted of 471 adults (55.2% women) from the general population without chronic diseases (Mage = 38.67). Regression analysis showed that IU was a positive predictor of SA (β = .17, p < .001), as well as cyberchondria (β = .14, p < .001), which had a unique contribution to the explanation of SA, relative to IU. Other significant predictors were average daily smartphone use and entertainment use, the latter being the strongest predictor in the model. These results revealed cyberchondria as a unique predictor of SA.

The Spanish version of the short form of the Cyberchondria Severity Scale (CSS-12): Testing the factor structure and measurement invariance across genders

Cyberchondria refers to excessive and repeated online health-related searching, which is associated with increased distress and anxiety. The Cyberchondria Severity Scale (CSS) is the most widely used measure for assessment of cyberchondria, and its shortened version (CSS-12) has recently been developed. The aim of the present study was to develop the Spanish version of the CSS-12 and test its psychometric properties. A community sample of 432 Spanish-speaking adults (67.6% women; mean age = 36.00 ± 15.22 years) completed the Spanish translation of CSS-12 along with measures of health anxiety, obsessive-compulsive, anxiety and depressive symptoms. The Spanish version of the CSS-12 comprises a general cyberchondria factor and four specific factors (‘excessiveness’, ‘compulsion’, ‘distress’, and ‘reassurance’). Multi-group confirmatory factor analysis indicated measurement invariance across gender groups. Internal consistency values for the total score and subscales were good to excellent. The CSS-12 showed strong correlations with health anxiety, and moderate to low correlations with anxiety, obsessive-compulsive and depressive symptoms, supporting the convergent and divergent validity of the CSS-12, respectively. In conclusion, these results show that the CSS-12 is a valid and reliable tool for measuring cyberchondria in both genders in the general Spanish population.

Cyberchondria During the COVID-19 Pandemic

Many factors govern the behavior pertaining to anxiety regarding health – it may be stressors, triggers, adverse situations faced by people. Since the outbreak of the COVID-19 virus, health-related anxiety has been widespread. December 2019 saw the occurrence of a form of pneumonia, not known at that time, from the Wuhan region of China to rapidly proceed into a worldwide pandemic and lockdown. This disrupted normal life across the globe and affected social and economic functioning. Cyberchondria has been one of the coping strategies seen during this time, pertaining to online health-related searches which offer answers and relief as seen at the surface but also bringing a plethora of mental health challenges. The authors in this chapter try to simplify what exactly cyberchondria is and how has it affected the lives of the worldwide population during the COVID-19 crisis, the biggest pandemic of recent times. The origin, development, and prevalence of the concept, along with coping, treatment, and prevention of the condition are discussed.

Recent Insights Into Cyberchondria

PURPOSE OF REVIEW

The construct of cyberchondria was introduced relatively recently. This article aims to review the conceptualization, theoretical basis and correlates of cyberchondria, as well as its prevention and management.

RECENT FINDINGS

Although there is no consensus, most definitions of cyberchondria emphasize online health research associated with heightened distress or anxiety. The two theoretical models of cyberchondria involve reassurance seeking and specific metacognitive beliefs. Cyberchondria has relationships with health anxiety, problematic Internet use and symptoms of obsessive-compulsive disorder, with public health implications pertaining to functional impairment and altered healthcare utilization. Suggestions about prevention and management of cyberchondria have been put forward, but not tested yet. Research interest in cyberchondria has steadily increased. It is uncertain whether cyberchondria can be considered a distinct entity. Future research should aim to clarify the conceptual status of cyberchondria, quantify its impact and develop evidence-based approaches for a better control of cyberchondria.