Cyberchondria Amidst COVID-19 Pandemic: Challenges and Management Strategies

The Relationship between Cyberchondria and Health Anxiety and the Moderating Role of Health Literacy among the Pakistani Public

Following the COVID-19 pandemic, the current study examines the association between cyberchondria and health anxiety in the Pakistani population, with health literacy as a moderator. This study utilized a cross-sectional research approach, with data gathered through simple random sampling. The study enlisted 1295 participants from Pakistan aged between 18 and 70, 63% of whom were male and 36% of whom were female. The researchers found a statistically significant positive link between cyberchondria and health anxiety (β = 0.215; t = 1.052; p 0.000). The moderating influence of health literacy suggests that health anxiety has a significantly negative effect on the relationship between cyberchondria and health anxiety (β = -0.769; t = 2.097; p 0.037). Moreover, females had higher cyberchondria scores than males. Health-related anxiety did not differ between the sexes, and males had greater health literacy than females. These results emphasize the critical role of health literacy in the moderating effects of cyberchondria on health anxiety. Furthermore, they reveal significant gender differences in both cyberchondria and health literacy.

Cyberchondria and Chinese Adolescent Mental Health in the Age of COVID-19 Pandemic

One of the far-reaching impacts of the COVID-19 pandemic is that it has become the fertile soil of cyberchondria. Adolescents' mental health was severely hit by this by-product of the COVID-19 pandemic both due to the direct effects and its indirect effects on security. This study investigated whether and how cyberchondria was associated with Chinese adolescents' mental health (i.e., well-being and depressive symptoms). Based on a large Internet sample (N = 1,108, 67.5 percent female, M_age = 16.78 years), cyberchondria, psychological insecurity, mental health, and a series of covariates were assessed. Preliminary analyses were conducted in SPSS Statistics software and main analyses were conducted in Mplus. Path analyses indicated that (a) cyberchondria was negatively associated with well-being (b = -0.12, p = 0.001) and positively associated with depressive symptoms (b = 0.17, p < 0.001); (b) psychological insecurity could fully mediate the association between cyberchondria and mental health (indirect effect _well-being = -0.15, 95% confidence interval [CI -0.19 to -0.12] and indirect effect _{depressive symptoms} = 0.15, 95% CI [0.12 to 0.19]); (c) the two dimensions (social insecurity and uncertainty) of psychological insecurity could play the mediating role in the associations between cyberchondria and mental health, uniquely and parallelly; and (d) these results did not vary by gender. This study suggests that cyberchondria may arouse individuals' psychological insecurity about interpersonal interaction and the development of events, which ultimately decreases their well-being and increases the risk of depressive symptoms. These findings facilitate the establishment and implementation of relevant prevention and intervention programs.

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.

Predictors of Cyberchondria during the COVID-19 pandemic: A cross-sectional study using supervised machine learning

BACKGROUND

Cyberchondria is characterized by repeated and compulsive online searches for health information, resulting in increased health anxiety and distress. It has been conceptualized as a multi-dimensional construct fueled by both anxiety and compulsivity-related factors and described as a "transdiagnostic compulsive behavioral syndrome" which is associated with health anxiety, problematic internet use and obsessive-compulsive symptoms. Cyberchondria is not included in the ICD-11 or the DSM-5, and its defining features, etiological mechanisms and assessment continue to be debated.

OBJECTIVE

This study aimed to investigate changes in the severity of cyberchondria during the pandemic and identify predictors of cyberchondria at this time.

METHODS

Data collection started on May 4, 2020 and ended on June 10, 2020, which corresponds to the first wave of the COVID-19 pandemic in Europe. At the time the present study took place, French-speaking countries in Europe (France, Switzerland, Belgium and Luxembourg) all implemented lockdown or semi-lockdown measures. The survey consisted of a questionnaire collecting demographic information (sex, age, education level and country of residence) and information on socioeconomic circumstances during the first lockdown (e.g., economic situation, housing and employment status), and was followed by several instruments assessing various psychological and health-related constructs. Inclusion criteria for the study were being at least 18 years of age and having a good understanding of French. Self-report data were collected from 725 participants aged 18 to 77 years (mean 33.29, SD 12.88 years), with females constituting the majority (416/725, 57.4%).

RESULTS

The results show that the COVID-19 pandemic affected various facets of cyberchondria: cyberchondria-related distress and interference with functioning increased (distress z=-3.651, P<.001; compulsion z=-5.697, P<.001), whereas the reassurance facet of cyberchondria decreased (z=-6.680, P<.001). Also, COVID-19-related fears and health anxiety emerged as the strongest predictors of cyberchondria-related distress and interference with functioning during the pandemic.

CONCLUSIONS

These findings provide evidence about the impact of the COVID-19 pandemic on cyberchondria and identify factors that should be considered in efforts to prevent and manage cyberchondria at times of public health crises. Also, they are consistent with the theoretical model of cyberchondria during the COVID-19 pandemic proposed by Starcevic and his colleagues in 2020. In addition, the findings have implications for the conceptualization and future assessment of cyberchondria.

Nostalgic Social Media Use and Psychological Well-Being During the COVID-19 Pandemic

Physical and social distancing practices mandated during the COVID-19 pandemic posed serious threats to mental health on a global scale. Drawing upon the literature on nostalgia as a coping resource and the psychological benefits of nostalgic media use, we investigated the relationship between nostalgic social media use and psychological well-being amid the COVID-19 pandemic, considering perceived self-continuity as a mediator. An online survey conducted with a U.S. sample in June 2021 (Study 1; N = 485) showed that nostalgic social media use was positively associated with greater perceived self-continuity, which, in turn, positively predicted emotional well-being. These findings were replicated and extended by a follow-up online survey conducted with a South Korean sample in October 2021 (Study 2; N = 1,510). In addition to replicating the mediation results from Study 1, Study 2 demonstrated that the mediation was significantly moderated by household type (single-person vs. multiperson household). Specifically, those living alone, compared to those living with one or more cohabitants, were more likely to benefit from nostalgic social media use, maintaining higher levels of life satisfaction amid the global health crisis. Implications of these findings are discussed.

Cyberchondria, Fear of COVID-19, and Risk Perception Mediate the Association between Problematic Social Media Use and Intention to Get a COVID-19 Vaccine

Vaccination is the most effective way to control the COVID-19 pandemic, but vaccination hesitancy threatens this effort worldwide. Consequently, there is a need to understand what influences individuals’ intention to get a COVID-19 vaccine. Restriction of information gathering on societal developments to social media may influence attitudes towards COVID-19 vaccination through exposure to disinformation and imbalanced arguments. The present study examined the association between problematic social media use and intention to get the COVID-19 vaccine, taking into account the mediating roles of cyberchondria, fear of COVID-19, and COVID-19 risk perception. In a cross-sectional survey study, a total of 10,843 residents of Qazvin City, Iran completed measures on problematic social media use, fear of COVID-19, cyberchondria, COVID-19 risk perception, and intention to get a COVID-19 vaccine. The data were analyzed using structural equation modeling (SEM). The results showed that there was no direct association between problematic social media use and intention to get a COVID-19 vaccine. Nonetheless, cyberchondria, fear of COVID-19, and COVID-19 risk perception (each or serially) mediated associations between problematic social media use and intention to get a COVID-19 vaccine. These results add to the understanding of the role of problematic social media use in COVID-19 vaccine hesitancy, i.e., it is not the quantity of social media use per se that matters. This knowledge of the mediating roles of cyberchondria, fear of COVID-19, and COVID-19 risk perception can be used by public health experts and policymakers when planning educational interventions and other initiatives in COVID-19 vaccination programs.

The moderating effect of alexithymia on the relationship between stress and cyberchondria

OBJECTIVES

The pandemic has increased the level of perceived stress and provided a fertile soil for Cyberchondria. This study aims to investigate the relationship between stress, cyberchondria, and alexithymia.

METHODS

This cross-sectional study used convenience sampling to carried out on a total 1,117 college students (female/male:536/581; mean age: 19.95 ± 1.32). Cyberchondria Severity Scale (CSS), Toronto Alexithymia Scale (TAS) and Short Depression Anxiety Stress Scales (DASS-21) were used to assessed the present study variables.

RESULTS

Significant differences emerged for CSS scores by gender (t = 3.74, p < 0.01) and had any comorbid disease (t = 2.47, p < 0.05), The Pearson correlation showed Cyberchondria has a significant positive correlation with stress and alexithymia (r = 0.50, p < 0.01, r = 0.36, p < 0.01). Furthermore, the regression analysis described that stress (β = 0.50, p < 0.01) and alexithymia (β = 0.36, p < 0.01) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that alexithymia significantly strengthened the association between stress and cyberchondria (F = 107.20, p < 0.01).

CONCLUSION

The study will help medical practitioners to understand how stress and alexithymia can cause an increase in cyberchondria. This will help them to elaborate operational indications for prevention and psychological support.

Online Interactions and Problematic Internet Use of Croatian Students during the COVID-19 Pandemic

The COVID-19 pandemic caused a transition to online services in almost all aspects of life. Today, online access is an important aspect of child well-being more than ever. The aim of the study was to investigate online activities and gender differences of children with a special focus on harmful online content, cyberbullying, and Internet addiction. Our research was conducted among students from one Croatian county (average age = 14.97, N = 494). The Internet Addiction Test, the European Cyberbullying Intervention Project Questionnaire, as well as questions constructed for the purposes of this research (e.g., online contents) were used. Between 20% and 30% of students spend four or more hours a day online. Furthermore, 14.57% of students showed moderate signs of addiction, and 1.42% already showed severe signs of addiction, where girls had significantly higher results. The results indicated that 12.75% of students were victims, 5.87% were perpetrators, and 8.3% were, at the same time, committing and experiencing cyberbullying. Children who commit and/or experience cyberbullying achieve higher results on the scale of Internet addiction than children who do not participate in cyberbullying. These findings contribute to our understanding of Internet usage and especially its problematic aspect in such a complex time as the COVID-19 pandemic, and they can be useful for planning future interventions with children.

The Impact of COVID-19 Pandemic on Searching for Health-Related Information and Cyberchondria on the General Population in Italy

Objectives: The Internet has become one of the most common sources people use to search for health-related information, a behavior rapidly increased during the novel Coronavirus disease 2019 (COVID-19). The present study aimed to investigate behavioral patterns in the online health-related searches and Cyberchondria (CYB) during the COVID-19 pandemic time, in order to explore socio-demographic and psychopathological factors related to CYB. Methods: During the third wave of the COVID-19 pandemic in Italy, a cross-sectional online survey collected the main socio-demographic variables and habits related to Internet use of 572 participants. CYB was measured by the Cyberchondria Severity Scale-Short Version and different psychopathological factors were measured by specific questionnaires: the Coronavirus Anxiety Scale, the Hospital Anxiety and Depression Scale, the Short Health Anxiety Inventory, the Meta-Cognitions about Health Questionnaire, the Internet Addiction Test, the Maudsley Obsessional-Compulsive Questionnaire-Short Version, the Rosenberg's Self-Esteem Scale, and the WHO Quality of Life-BREF. Descriptives, non-parametric ANOVAs, and Spearman correlations were performed. Results: In the present sample, the Internet was the main source participants used to search for health-related information and nearly one-third increased this habit during the pandemic. Higher expression of CYB emerged in females, in younger participants, in students, and in those suffering from a physical/psychiatric illness. CYB showed a positive correlation with different phenomenology of anxiety (i.e., anxiety about COVID-19, health anxiety, general anxiety, metacognitive believes about anxiety) and with depression, obsessive-compulsive symptoms, and problematic usage of the Internet. Conversely, quality of life and self-esteem showed a negative correlation with CYB. Conclusion: During the COVID-19 pandemic, the use of the Internet for health-related information and CYB contribute to the psychological stress affecting individuals and society. Delineating subjects more vulnerable to CYB and associated psychopathological factors will help to elaborate operational indications for prevention and psychological support.