The CSS-12: Development and Validation of a Short-Form Version of the Cyberchondria Severity Scale

A national survey of pandemic fear and cyberchondria after ending zero-COVID policy: The chain mediating role of alexithymia and psychological distress

BACKGROUND

More than half the domestic population in China were infected with COVID-19 in two months after ending "zero-infection policy", which severely overwhelmed frontline healthcare providers with stress and fear. However, there is no study to date investigating the associations between nurses' fear of pandemic and cyberchondria. This study aimed to 1) investigate the correlations between fear pandemic and cyberchondria among frontline nurses, and 2) discover its potential mechanism.

METHODS

A cross-sectional sample of frontline nurses (N = 8161) was recruited from 98 hospitals across China in February 2023. Participants were invited to complete an online, self-rated standardized questionnaire focused on pandemic fear, alexithymia, psychological distress, and cyberchondria. Environmental, clinical and socioeconomic information were collected for adjustment while conducting chain mediation analysis.

RESULTS

When other covariates were controlled, it was found that fear of the pandemic significantly contributed to cyberchondria (b = 0.58, 95%CI [0.56, 0.60], p < .001). The chain mediation model suggested that both alexithymia and psychological distress were mediating factors between pandemic fear and cyberchondria.

CONCLUSIONS

The higher the perceived fear, the greater the cyberchondria, which suggests that reducing fear about the pandemic and providing adequate support could reduce the incidence of cyberchondria. As alexithymia and psychological distress may be transdiagnostic mechanisms between fear and cyberchondria, targeted interventions focused on expression dysregulation and emotional identification could be useful.

Maladaptive daydreaming and problematic online behaviors: A network analysis approach

Previous evidence showed that Maladaptive Daydreaming (MD) is positively associated with different Problematic Online Behaviors (POBs). This study aimed to investigate the mutual relationship between MD and several POBs. Data were collected from 1209 participants, aged 18-73 (M = 30.59, SD = 12.26), through self-report questionnaires assessing MD and POBs, including problematic online gambling, problematic online gaming, problematic cybersex, Problematic Social Media Use (PSMU), problematic online shopping, and cyberchondria. Two psychometric network analyses were performed to examine the associations between all POBs at item levels, and between MD and POBs at construct levels. Results revealed six distinct communities, supporting the specificity of each POB. Furthermore, MD was found to be more strongly associated with PSMU and cyberchondria, and weakly associated with problematic online gaming, problematic cybersex, and problematic online shopping. The mutual relationships between MD and POBs might have relevant implications for the assessment and treatment of these clinical conditions.

Moderating Effect of Coping Strategies on the Association Between the Infodemic-Driven Overuse of Health Care Services and Cyberchondria and Anxiety: Partial Least Squares Structural Equation Modeling Study

BACKGROUND

The COVID-19 pandemic has led to a substantial increase in health information, which has, in turn, caused a significant rise in cyberchondria and anxiety among individuals who search for web-based medical information. To cope with this information overload and safeguard their mental well-being, individuals may adopt various strategies. However, the effectiveness of these strategies in mitigating the negative effects of information overload and promoting overall well-being remains uncertain.

OBJECTIVE

This study aimed to investigate the moderating effect of coping strategies on the relationship between the infodemic-driven misuse of health care and depression and cyberchondria. The findings could add a new dimension to our understanding of the psychological impacts of the infodemic, especially in the context of a global health crisis, and the moderating effect of different coping strategies on the relationship between the overuse of health care and cyberchondria and anxiety.

METHODS

The data used in this study were obtained from a cross-sectional web-based survey. A professional survey company was contracted to collect the data using its web-based panel. The survey was completed by Chinese individuals aged 18 years or older without cognitive problems. Model parameters of the relationships between infodemic-driven overuse of health care, cyberchondria, and anxiety were analyzed using bootstrapped partial least squares structural equation modeling. Additionally, the moderating effects of coping strategies on the aforementioned relationships were also examined.

RESULTS

A total of 986 respondents completed the web-based survey. The mean scores of the Generalized Anxiety Disorder-7 and Cyberchondria Severity Scale-12 were 8.4 (SD 3.8) and 39.7 (SD 7.5), respectively. The mean score of problem-focused coping was higher than those of emotion- and avoidant-focused coping. There was a significantly positive relationship between a high level of infodemic and increased overuse of health care (bootstrapped mean 0.21, SD 0.03; 95% CI 0.1581-0.271). The overuse of health care resulted in more severe cyberchondria (bootstrapped mean 0.107, SD 0.032) and higher anxiety levels (bootstrapped mean 0.282, SD 0.032) in all the models. Emotion (bootstrapped mean 0.02, SD 0.008 and 0.037, SD 0.015)- and avoidant (bootstrapped mean 0.026, SD 0.009 and 0.049, SD 0.016)-focused coping strategies significantly moderated the relationship between the overuse of health care and cyberchondria and that between the overuse of health care and anxiety, respectively. Regarding the problem-based model, the moderating effect was significant for the relationship between the overuse of health care and anxiety (bootstrapped mean 0.007, SD 0.011; 95% CI 0.005-0.027).

CONCLUSIONS

This study provides empirical evidence about the impact of coping strategies on the relationship between infodemic-related overuse of health care services and cyberchondria and anxiety. Future research can build on the findings of this study to further explore these relationships and develop and test interventions aimed at mitigating the negative impact of the infodemic on mental health.

Cyberchondria and smartphone addiction: A correlation survey among undergraduate medical students in Egypt

BACKGROUND

There is an increase in smartphone usage globally. Cyberchondria (CYB) is characterized by excessive Internet searches for health information. Smartphone addiction is constantly rising among medical students together with CYB as a collateral emerging risk, yet there is limited research available on the topic.

METHODS

This cross-sectional study explores the rising phenomenon of smartphone addiction and its potential role in CYB among medical students in seven Egyptian universities. A total of 1435 medical students participated in completing online questionnaires that assessed smartphone addiction and CYB using the Smartphone Addiction Scale-Short Version (SAS-SV) and Cyberchondria Severity Scale (CSS-12). Multivariable regression analysis was applied to assess predictors of smartphone addiction and CYB.

RESULTS

Based on the used scales, 57.6% of students were suffering from smartphone addiction, and 85.8% exhibited a moderate degree of CYB. There was a significant positive correlation between smartphone addiction scores and CYB (p < 0.05). The multivariable regression models revealed that four factors including using Facebook, using WhatsApp, increasing time spent on the Internet per day, and a higher CYB score increase the probability of smartphone addiction. The factors that increase the probability of CYB are using Facebook, an increase in the frequency of Internet searches, a higher degree of worry about one's health or a family member's health, and being a smartphone addict.

CONCLUSION

Smartphone addiction among undergraduate medical students is prevalent. Social media use, time spent online, and smartphone addiction were linked with the risk of CYB. Regular physical activity decreases the probability of smartphone addiction. Awareness programs and increased mental and physical activities are required to help reduce smartphone addiction among youth.

The digital health dilemma: Exploring cyberchondria, well-being, and smartphone addiction in medical and non-medical undergraduates

Background

The Internet is a popular source of health information, but too much research can cause anxiety (cyberchondria). Medical and non-medical personnel interpret information differently, leading to varying rates of cyberchondria. Smartphone addiction may also contribute to cyberchondria and impact mental health.

Methods

The study was an epidemiological survey-based investigation with a cross-sectional design involving undergraduate students (aged 18 years or older) from Indian universities or colleges. The study utilized the Cyberchondria Severity Scale-Short Form (CSS-12), WHO-5 well-being index, and Smartphone Addiction Scale-Short Version (SAS-SV).

Results

A total of 1033 participants (53.1% females and 46.4% males) were recruited in the survey. Of the participants, 58.5% were pursuing medical or paramedical courses, while the remaining 41.5% belonged to the non-medical group. High-severity cyberchondria was present in about 4.4% of the students. The medical cohort demonstrated a significantly lower cumulative CSS in comparison to the non-medical cohort (t = - 3.90; P < 0.01). Smartphone addiction was observed in 57.2% of individuals in the medical group and 55.9% of individuals in the non-medical group (P = 0.68). Medical students had a significantly lower mean well-being score compared to non-medical students (58.4 vs. 59.6; P < 0.01). There was a positive correlation between cyberchondria severity and smartphone addiction, which was consistent across both groups.

Conclusion

Medical students have less cyberchondria than non-medical students. Cyberchondria severity is linked to smartphone addiction. Non-medical students with cyberchondria have higher subjective well-being.

The Moderating Role of Health Literacy and Health Promoting Behavior in the Relationship Among Health Anxiety, Emotional Regulation, and Cyberchondria

Background

People are increasingly turning to the internet to find answers to their health concerns in an era where there is a wealth of online health information, which frequently causes increased health anxiety and the phenomenon known as cyberchondria. The objectives of this study were to examine the moderating role of health literacy and health promotion behavior and the mediating role of emotional regulation between health anxiety and cyberchondria among the Pakistani population.

Methods

The study used a self-administered questionnaire to collect and examine health anxiety, emotional regulation, health literacy, health promotion behavior, and cyberchondria in 755 residents. A moderated mediation model of Hayes PROCESS was used to examine this hypothesis.

Results

The findings unveiled the average score of the participants on the study variables, as well as their categorization into low, moderate, and high categories. On scale of Health Anxiety participant scores (32% vs 53% vs 15%), Emotional Regulation (25% vs 46% vs 29%), Cyberchondria (18% vs 41% vs 41%), Health Literacy (56% vs 29% vs 15%), and Health promotion Behavior (49% vs 28% vs 23%). Moreover, result revealed that emotional regulation mediates the significant positive association between health anxiety and cyberchondria (β=0.25**p<0.001). Furthermore, health literacy moderates the negative association health anxiety and emotional regulation (β=-0.42*p<0.031), and health promotion behavior also negatively moderate the relationship between emotional regulation and cyberchondria (β=-0.27*p<0.22).

Conclusion

Based on the findings, it is recommended that health policymakers consider comprehensive national initiatives that focus on educational planning. These initiatives should boost health literacy levels and promote health-related behavior. Additionally, there is urgent need for strict measures to be put in place for monitoring online platforms and websites that spread inaccurate or false health-related information.

The short-form of the Cyberchondria Severity Scale (CSS-12): Adaptation and validation of the Spanish version in young Peruvian students

BACKGROUND

Cyberchondria is defined as the increase in health-related anxiety or anguish associated with excessive or repeated online searches for health-related information. Our objective was to cross-culturally adapt and validate the CSS-12 scale for Peruvian Spanish speakers, to determine whether the Bifactor model works as well in our population as in previous studies' and to explore whether the Bifactor-ESEM is a more suitable model.

METHODS

We performed a cultural adaptation using the Delphi method and a validation study on medical students between 2018 and 2019. Reliability was evaluated by using Cronbach's alpha (α) and McDonald's omega (Ω) for internal consistency, and Pearson's r and intraclass correlation coefficient (ICC), for test-retest reliability. We evaluated construct validity by contrasting four measurement models for the CSS-12 and the convergent validity against health anxiety.

RESULTS

The Spanish CSS-12 showed excellent reliability (α = .93; Ω = .93; ICC = .93; r = .96). The Bifactor ESEM model showed the best fit, supporting a unidimensional measure of the general cyberchondria. This measure was positively associated with health anxiety (r = .51).

CONCLUSIONS

The Spanish CSS-12 provides a valid and reliable unidimensional measure of cyberchondria, which is distinguishable from the more general health anxiety. This can be applied to similar populations and future research. The Bifactor-ESEM model appears to offer a more accurate and realistic representation of the multifaceted nature of cyberchondria. We provide a free-to-use form of the Spanish CSS-12 as supplemental material.

Problematic online behaviors and psychopathology in Australia

This study aimed to ascertain frequency rates and predictors of six problematic online behaviors (POBs) in an Australian sample. Participants (N = 1626) completed instruments measuring problematic online gaming, cyberchondria, problematic cybersex, problematic online shopping, problematic use of social networking sites, problematic online gambling, anxiety, depression and attention deficit/hyperactivity disorder (ADHD). Each POB was presumed to be present based on the cut-off score on the corresponding instrument and at least one indicator of interference with functioning. Generalized linear model analyses were used to determine socio-demographic and psychopathological predictors of each POB. The most common POB was problematic online shopping (12.2%), followed by problematic online gambling (11.4%), problematic use of social networking sites (6.0%), problematic cybersex (5.3%), problematic online gaming (5.2%) and cyberchondria (4.6%). Age group 27-36 had the highest rates of POBs. The intensity of ADHD symptoms predicted all POBs, whereas younger age predicted all POBs except for problematic cybersex and online gambling. Female gender predicted lower scores on the measures of problematic online gaming and cybersex. These findings have implications for age- and gender-adapted education, prevention and treatment efforts and suggest that specific POBs should be investigated separately instead of lumping them together under the umbrella terms such as "Internet addiction".

Validation of the Arabic version of the cyberchondria severity scale 12 items (CSS-12-Ar) among a sample of Lebanese adults

BACKGROUND

To the best of our knowledge, the Cyberchondria Severity Scale-12 (CSS-12) has not been translated into Arabic; therefore, our objective was to assess the psychometric properties of the Arabic version of the CSS (CSS-12-Ar) among a sample of Lebanese adults.

METHODS

Participants were enrolled in January 2021. A confirmatory factor analysis (CFA) was carried out using the MPlus software v.7.2, reporting several goodness-of-fit indicators: Relative Chi-square (χ2/df), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI) and Tucker Lewis Index (TLI). To evaluate measurement invariance across gender, we conducted higher-order multiple group confirmatory analysis using lavaan software.

RESULTS

449 participants enrolled in this study (mean age: 24.34 ± 8.22 years, 70.6% females). Since the correlations between the four-factor model were very high (r > 0.8), we ran the higher-order CFA in which all first-order latent variables were loading a general factor. The analyzed model was well-fitted to the data χ2(50) = 173.34; p < 0.001; CFI = 0.926; RMSEA = 0.074 [0.062, 0.086]. The Cronbach's alpha values were good for the total score (0.92), as well as for excessiveness (0.80), distress (0.77), reassurance (0.81) and compulsion (0.76). The results provided evidence of full scalar invariance across gender. The comparison of latent mean scores revealed no significant differences across gender, in either the cyberchondria total score or its facets. The CSS-12 score was positively associated with anxiety (r = 0.10; p = 0.003) (convergent validity), OCD (r = 0.11; p = 0.016) and stress (r = 0.35; p < 0.001) (concurrent validity).

CONCLUSION

The CSS-12-Ar was deemed a suitable scale to measure the severity of cyberchondria among Lebanese university students. We hope that researchers and clinicians can benefit now from this scale.

The mediating role of rumination between stress appraisal and cyberchondria

Cyberchondria, defined as excessive concern about one's health and looking for solutions to health problems on the Internet, is becoming increasingly common. This paper examines the relations between the dimensions of stress appraisal (threat, challenge-activity, challenge-passivity, harm/loss) and cyberchondria. We also tested whether these relations were mediated by rumination. The study included a nonclinical sample of N = 615 participants aged 18 to 83 years (M = 43.86, SD = 14.57, 53 % women), who completed the short version of the Cyberchondria Severity Scale, the Rumination Scale, and the Stress Appraisal Questionnaire. We used the Computer-Assisted Web Interview (CAWI) method. The results revealed that rumination was a partial mediator between stress as a threat and cyberchondria and between stress as a harm/loss and cyberchondria. Cyberchondria was positively related to rumination, stress as a threat, and stress as a harm/loss and negatively related to the challenge-activity dimension of stress appraisal. The study indicates that stress appraisal is linked to cyberchondria and that rumination plays an important role in this relationship.

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.

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.

Health-Related Cognitions and Metacognitions Indirectly Contribute to the Relationships Between Impulsivity, Fear of COVID-19, and Cyberchondria

The aim of the study was to converge a structural equation model to unfold the compositive relationships between trait impulsivity, health cognitions, metacognitions about health, fear of COVID-19 and cyberchondria, after controlling for gender, age, marital status, having a chronic illness and chronic illness among first-degree relatives. Six hundred fifty-one participants (423 females, 65%; 228 males, 35%) participated in the study. The Short UPPS-P Impulsive Behavior Scale (S-UPPS-P), Health Cognitions Questionnaire (HCQ), The Meta-Cognitions about Health Questionnaire (MCQ-HA), Cyberchondria Severity Scale -Short Form (CSS-12), and Fear of COVID-19 Scale (FCV-19 S) were completed by volunteered participants. The structural model showed that the S-UPPS-P directly and indirectly contributed to the HCQ, MCQ-HA, CSS-12, and FCV-19 S. The multi-group structural analysis by gender showed that the structural model had a partial measurement and factorial invariance. We concluded that the significant associations between impulsivity, fear of COVID-19 and cyberchondria were indirectly contributed by health-related cognitions and metacognitions.

Cyberchondria and COVID-19 anxiety and internet addiction among nursing students

This study was conducted to determine the relationship between cyberchondria and COVID-19 anxiety and internet addiction in nursing students. This cross-sectional study was conducted with 843 students studying in the nursing department of Adnan Menderes University. The mean age of the students was 20.8 ± 1.72 years and 61.2% were female. The Cyberchondria Severity Scale-Short Form, Coronavirus Anxiety Scale, and the Young Internet Addiction Test-Short Form were used to collect data. The study found a positive association between internet addiction, cyberchondria severity, and anxiety about COVID-19. It was found that the anxiety of COVID-19 had a mediating role in the association between internet addiction and cyberchondria severity. It was found that the use of the internet as a source of information on health problems and trusting the health information found had a significant effect on high cyberchondria levels (p < 0.05). Taken together, the findings of previous studies and this study on the role of the association between internet addiction and cyberchondria exacerbating anxiety due to the pandemic provide further evidence for healthcare professionals that greater focus is needed on the problems of the new era related to people-internet interaction. To reduce the negative effects of the current health crisis and future health crises, interventions for nursing students to control their internet use and cyberchondria behaviors should be prioritized.

The association between fear of Covid-19 and smartphone addiction among individuals: the mediating and moderating role of cyberchondria severity

The coronavirus disease-2019 (COVID-19) has quickly spread all over the world and has contributed to psychological consequences including fear of the virus. Depending upon the severity of their problems, individuals often search the internet via their mobile devices to understand whether the symptoms they perceive are symptoms of the disease. This condition has been termed 'cyberchondria'. In this context, the aim of this study is examine the mediating and moderating role of cyberchondria severity in the association between smartphone addiction and the fear of COVID-19. The sample comprised 520 participants (335 females [64.4%], 185 males [35.6%] aged 17 to 65 years [Mean = 28.61 years, SD = 10.60]). A survey included the Cyberchondria Severity Scale Short-Form, The Smartphone Addiction Scale-Short Version, and The Fear of COVID-19 Scale. Structural equation modeling and SPSS Process Macro moderator variable analysis were used to test the research model. The study found a positive association between smartphone addiction, fear of COVID-19, and cyberchondria severity. Cyberchondria severity had both moderating and mediating role in the association between smartphone addiction and the fear of COVID-19. In conclusion, it has been determined that during the COVID-19 pandemic, cyberchondria severity has negative effects on individuals' fear of COVID-19.

Digitalization and Urological Diseases: Severity of Cyberchondria and Level of Health Anxiety in Patients Visiting Outpatient Urology Clinics

This study aimed to evaluate the cyberchondria levels of patients who applied to the urology outpatient clinic. The second goal of this study was to evaluate the relationship between cyberchondria severity and health anxiety in these patients. The present prospective observational study was conducted at the urology outpatient clinic of two tertiary centers in our city between September and December 2021. Eligible patients were the adult patients (>18 and ≤60 years) who used the Internet for health purposes and had no self-reported psychological or mental disease. The patients were divided into following groups according to their complaints: general urology, uro-oncology, andrology, functional urology, and endourology (stone disease). The level of cyberchondria and health anxiety was evaluated for these patients by using the Short Health Anxiety Inventory (SHAI) and a short-form version of the Cyberchondria Severity Scale (CSS-12). This study enrolled 578 patients (190 female, 388 male). The mean age of patients was 43.4 ± 13.3 years (18-60 years). The mean CSS-12 was 28.1 ± 12.1, and the mean value of SHAI was 18.9 ± 13.6. The patients had andrological symptoms, is uniquely related to higher CSS and health anxiety, and followed by uro-oncological diseases. However, the least relationship was observed in patients with functional urological diseases (analysis of variance [ANOVA], p < 0.001 for CSS-12; p < 0.001 for SHAI). In addition, a positive correlation was observed between the CSS and SHAI (Pearson's correlation = 0.782). The increased level of cyberchondria causes increased health anxiety and an increased disease burden in these patients. Therefore, physicians should consider this increased treatment burden during the treatment of patients.

The role of emotional functioning in the relationship between health anxiety and cyberchondria

Access to health information can have positive effects in the form of increased health awareness. However, self-diagnosis based on information available on websites can be dangerous, causing distress as an increasing amount of time is spent on searching. The main aim of the study was to determine the role of emotional functioning in the relationship between health anxiety and cyberchondria. The study included N = 615 participants aged 18 to 83 years (M = 43.86, SD = 14.57). The authors used the Cyberchondria Severity Scale, the Short Health Anxiety Inventory, the Life Orientation Test, the Difficulties in Emotion Regulation Scale, and the Kessler 6 Psychological Distress Scale. The results demonstrate that health anxiety is significantly related to cyberchondria and that pessimism and difficulties in emotion regulation act as mediators in this relationship.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-04126-3.

Development and cross-national investigation of a model explaining participation in WHO-recommended and placebo behaviours to prevent COVID-19 infection

To protect themselves from COVID-19, people follow the recommendations of the authorities, but they also resort to placebos. To stop the virus, it is important to understand the factors underlying both types of preventive behaviour. This study examined whether our model (developed based on the Health Belief Model and the Transactional Model of Stress) can explain participation in WHO-recommended and placebo actions during the pandemic. Model was tested on a sample of 3346 participants from Italy, Japan, Poland, Korea, Sweden, and the US. It was broadly supported: objective risk and cues to action showed both direct and indirect (through perceived threat) associations with preventive behaviours. Moreover, locus of control, decision balance, health anxiety and preventive coping moderated these relationships. Numerous differences were also found between countries. We conclude that beliefs about control over health and perceived benefits of actions are critical to the development of interventions to improve adherence to recommendations.

Linking the Pathway from Exposure to Online Vaccine Information to Cyberchondria During the COVID-19 Pandemic: A Moderated Mediation Model

Cyberchondria describes excessive health information seeking on the Internet is associated with escalating concerns and anxiety. Drawing upon the stimulus-organism-response model, this study proposes a moderated mediation model to explore how people develop cyberchondria when they search for COVID-19 vaccine-related information on the Internet. To test the proposed model, an online survey was conducted in China. Results showed that there was a direct and positive relationship between exposure to online vaccine information and cyberchondria. This relationship was also partially mediated by perceived information overload. Moreover, e-health literacy negatively moderated the indirect relationship between exposure to online vaccine information and cyberchondria through perceived information overload. The results from this study can advance our knowledge on the development of cyberchondria during public health crises, and inform health professionals and social media operators on developing evidence-based interventions to manage this issue.

The Doctor Is In(ternet): The Mediating Role of Health Anxiety in the Relationship between Somatic Symptoms and Cyberchondria

Cyberchondria is a dysfunctional behavioral pattern characterized by an excessive and anxiety-amplifying engagement in searching for reassuring health information on the Internet. Research demonstrated that somatic symptoms and health anxiety might foster maladaptive health-related behaviors, such as cyberchondria. However, the relationships between somatic symptoms, health anxiety, and cyberchondria have been scarcely examined. Accordingly, this study aimed to test the mediating effect of health anxiety on the association between somatic symptoms and cyberchondria. Four hundred and thirty-one adults from the community (158 males, 36.66%), aged between 18 and 74, were recruited via an online survey. Participants completed self-report measures of somatic symptoms, health anxiety, and cyberchondria. A mediation analysis demonstrated that the severity of somatic symptoms predicted increased levels of cyberchondria and that health anxiety partially mediated this association. Therefore, interventions aimed at decreasing health anxiety may also play a role in decreasing the risk of developing cyberchondria.

Internet Derived Information Obstruction Treatment (IDIOT) Syndrome: A Breviloquent Review

The rapid increase in internet use in the current digital era has caused a potential increase in anxiety, and a person either self-medicates or abruptly stops the drug for his medical illness, thereby the rise in the Internet Derived information Obstructing Treatment (IDIOT) syndrome. The Internet Derived Information Obstructing Treatment (IDIOT) syndrome occurs when patients abruptly quit their treatment because they have blindly trusted internet medical information. WHO calls this an " Infodemic," which has created a complex situation in healthcare, as it has caused too much information in digital and physical environments during an outbreak of the disease and caused mistrust in health authorities. Patients get important health information online and anticipate additional assistance, Dr. C. N. Manjunath, Director, Jayadeva Hospital, says “Doctors are becoming sick because of stress, and they need to take care of their health. There is an added demand to ac­q­u­ire communication skills rather than merely technical and professional qualities.” Patients must not merely believe healthcare-related information available from online health resources and must seek the help of licensed healthcare professionals for their health concerns. There must be an increase in the awareness programs among the public to as not to fall as victims and blindly follow or abruptly stop their medical prescriptions for their medical illness from available online health resources.

Family Dysfunction and Cyberchondria among Chinese Adolescents: A Moderated Mediation Model

Cyberchondria has become a severe health problem and a significant public concern. In addition to the impacts that cyberchondria involves, individual psychological and behavioral factors have been identified. However, the role of family function and the mediating and moderating mechanisms underlying these relations are not understood well, especially among adolescents. Based on family functioning and cognitive-behavioral theory, this study sought to examine whether family dysfunction was associated with cyberchondria, and a moderated mediation model was prepared as a means of exploring whether health anxiety was a mediator of relationships between family dysfunction and cyberchondria, as well as whether optimism moderated these mediating processes. A total of 2074 Chinese adolescents (mean = 15.08 years, SD = 1.79) reported their demographic information, family dysfunction, health anxiety, optimism, and cyberchondria. The findings showed that family dysfunction was positively related to cyberchondria. Moreover, health anxiety partially mediated the relationship between family dysfunction and cyberchondria. Finally, optimism moderated the interplay among health anxiety and cyberchondria. Consistent with the expectancy-value models, this positive relationship was weaker for adolescents with a higher level of optimism. These results suggest that it is vital to simultaneously consider individual and family factors as a means of understanding adolescent cyberchondria when performing cyberchondria intervention programs.

Investigating the Obsessive and Compulsive Features of Cyberchondria: A Holistic Review

Background

Cyberchondria has been brought into sharp focus during the COVID-19 health emergency; it refers to individuals who obsessively and compulsively search for health information online, resulting in excessive health concerns. Recent scholarship focuses on its obsessive and compulsive aspect, following a biopsychosocial approach as opposed to a pathology of health anxiety. It lacks interpretation of the socio-psychological dynamics between the dimensions.

Objective

This review aims to propose a holistic view toward understanding cyberchondria as an obsessive–compulsive syndrome and considers possible interventions. It specifically seeks to explain cyberchondria from diversified mediator variables and to pinpoint connections between each perspective.

Methodology

Comprehensive searches of databases such as PubMed and Springer were conducted to identify English articles relating to cyberchondria from 2001 to 2022. Based on a systematic filtering process, 27 articles were finally reviewed.

Findings

The authors compare and confirm three forecasts to predict cyberchondria, associating it with individual metacognition, uncertainty of unverified information, and algorithm-driven, biased information environments.

Value

Theoretically, a holistic framework is proposed to explain the obsessive and compulsive features of cyberchondria. Clinically, the research calls for more professional psychoeducation and chain screening of cyberchondria and other psychological disorders. Socially, it promotes support for risk-sensitive, information-deficient groups during pandemics like COVID-19. It also stresses more careful use of algorithm-driven search engine technology for platforms delivering medical information. Future research may explore areas such as the association between cyberchondria and other social-related disorders, as well as correlations among cyberchondria, obsessive and compulsive disorders, medical trust, and algorithm-driven search results.

Prevalence and effect of cyberchondria on academic performance among undergraduate dental students: An institutional based study

BACKGROUND

Cyberchondria has been used to describe an increase in anxiety about one's health status as a result of excessive online searches. These online health research studies were associated with a small but reliable increase in depression and anxiety which may decrease concentration of a student on academics.

METHODS

The questionnaire was distributed among 302 undergraduate dental students (second year, third year, fourth year, and interns) of Kamineni Institute of Dental Sciences and Hospital. The survey tool comprised Cyberchondria Severity Scale-Short form (CSS-15) questionnaire and percentage of marks obtained in the previous University examination. Statistically significance was set at P < 0.05.

RESULTS

A significant difference was observed for subscale Compulsion (p = 0.05*), Distress (p = 0.001*) with a higher mean score among 24-26 years old dental students. Females had significant higher mean score subscales Distress (4.63 ± 2.93; P = 0.02*) and Reassurance (5.99 ± 2.90; P = 0.001*) than males. Regarding overall CSS, significant higher mean scores were observed among the students who scored less than 65% (7.90 ± 2.01) in their last year university academic examination (0.000*).

CONCLUSION

Scheduling educational programs and strengthening easily accessible health services for the students has a particular importance in solving the health problems of young people.

A preliminary investigation of Cyberchondria and its correlates in a clinical sample of patients with obsessive-compulsive disorder, anxiety and depressive disorders attending a tertiary psychiatric clinic

Objectives. This cross-sectional study aimed to investigate the frequency and presentation of cyberchondria (CYB) in patients with obsessive-compulsive disorder (OCD), anxiety disorders (ADs), and major depression disorder (MDD).Methods. Seventy-seven patients (OCD:25, ADs:26, MDD:26) referred to a tertiary psychiatry outpatient clinic and 27 healthy controls (HCs) were included. A 'working' definition of CYB was used to measure CYB frequency. CYB severity was measured with the Cyberchondria Severity Scale (CSS).Results. CYB as currently defined was present in just 1.3% of the combined patients' sample. Using a broader definition (omitting the disability criterion), we found a higher distribution (OCD:12%, ADs:19.2%, MDD:15.4%, HCs:3.7%) and greater CYB symptom severity. Patients with OCD (63.3 ± 18.9) and ADs (63.3 ± 25.9) showed a higher CYB severity, compared with HCs (48.4 ± 9.9, p<.05). In the combined patients' sample, a positive correlation was found between the CSS scores and measures of health anxiety or hypochondriasis. Higher CYB symptom severity emerged in patients with a positive family history of psychiatric disorders and in those prescribed benzodiazepines or mood-stabilisers.Conclusion. CYB represents a common transdiagnostic syndrome in patients with OCD, ADs, and MDD with a spectrum of severity and indicates a variable burden of illness, supporting the need for specific clinical considerations and interventions.Key pointsCyberchondria (CYB) represents a common transdiagnostic syndrome in patients with obsessive-compulsive disorder, anxiety, and depressive disorders.CYB's frequency as a syndrome of compulsive online health searches associated with an increased anxiety and distress was reported in 10-20% patients.Health anxiety/hypochondriasis showed a strong correlation with CYB.Patients with a positive family history of psychiatric disorders and those prescribed benzodiazepines or mood-stabilisers showed higher CYB symptom severity.Considering the spread of Internet use for health-related information, additional studies investigating CYB in clinical samples are encouraged.

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.

The effect of cyberchondria on anxiety, depression and quality of life during COVID-19: the mediational role of obsessive-compulsive symptoms and Internet addiction

Since the global pandemic of the coronavirus disease 2019 (COVID-19), online health information-seeking behaviors have notably increased. Cyberchondria can be a vulnerability factor for the worsening of anxiety-depressive symptoms and quality of life. The current study aims to understand the predictive effect of cyberchondria on health anxiety, anxiety, depression and quality of life considering the mediating effect of obsessive-compulsive symptoms and Internet addiction and the moderating effect of COVID anxiety. 572 Italian participants (66% female; Mean age = 34; SD = 15) took part in a cross-sectional online survey involving CSS-12, MOCQ-R, IAT, SHAI, HADS, WHOQoL-BREF and CAS. Mediation and moderation analyses were conducted. Obsessive-compulsive symptoms and Internet addiction were found to partially mediate the cyberchondria-health anxiety and the cyberchondria-anxiety links and to totally mediate the cyberchondria-depression and the cyberchondria-quality of life links. COVID anxiety was found to moderate the relationship between cyberchondria and anxiety. The findings suggest that compulsivity may have a key role in the explanation of the underlying mechanisms of cyberchondria. Healthcare practitioners should provide additional support for individuals with cyberchondria. As such, cyberchondria is a contributing factor to the exacerbation of anxiety-depressive disorders and may impact on the quality of life.

Relationships between fear of COVID ‐19, cyberchondria, intolerance of uncertainty, and obsessional probabilistic inferences: A structural equation model

The study was set out to explore the structural relationships between fear of COVID‐19, cyberchondria, intolerance of uncertainty, and obsessional probabilistic inferences. The data were recruited online from a community population (n = 1,049) subjected to a confirmatory factor analytic procedure. The structural model specified according to the previous findings in the literature showed that a general tendency to negative expectations in terms of probabilistic thinking was significantly associated with both COVID‐19‐related‐fear and intolerance of uncertainty. Fear of COVID‐19 was significantly associated with cyberchondria. Probabilistic thinking style and intolerance of uncertainty contributed to cyberchondria through fear of COVID‐19 as well. We concluded that a tendency to engage in a probabilistic thinking style and intolerance of uncertainty seems to play role in the etiology of fear of infection and cyberchondria.

Health anxiety model of cyberchondria, fears, obsessions, sleep quality, and negative affect during COVID-19

The aim of the study was to explore the relationships among cyberchondria, fear of COVID-19, health anxiety, obsessions, sleep quality, and negative affect in a national community sample of Turkish participants. A sample of 8,276 volunteers, aged between 18 and 65, were recruited via an online platform. The Perceived Vulnerability about Diseases Questionnaire, Fear of COVID-19 Scale, Cyberchondria Severity Scale, Short Health Anxiety Inventory, Depression Stress Anxiety Scale-21, Obsessive-Compulsive Inventory-Revised, and Pittsburgh Sleep Quality Index were completed by participants. Data were analyzed using mixture structural equation modelling approach. Results revealed that perceived vulnerability to disease was found to be positively related with cyberchondria, poor sleep quality, health anxiety, and obsessive-compulsive symptoms. Negative affect was positively associated with obsessive-compulsive symptoms, fears of COVID-19, cyberchondria severity, and poor sleep quality. Additionally, fear of COVID-19 was positively related to health anxiety. Also, cyberchondria severity was found to be positively associated with poor sleep quality and obsessive-compulsive symptoms. Mixture analysis classified participants into six latent classes: 1) Risk-Aversive Healthy Group, 2) Incautious Healthy Group, 3) Infection Obsessions Group, 4) Health Anxiety Group, 5) Negative Affect Group, and 6) General Psychopathology Group. The national survey data showed that perceived vulnerability to diseases, negative affect, fear of COVID-19, cyberchondria, health anxiety, obsessive-compulsive symptoms, and sleep quality appeared to be at the center of pandemic health anxiety.

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.

Cyberchondria, but not preventive behavior, mediates the relationship between fear of COVID-19 and somatic burden: Evidence from Russia

BACKGROUND

There is extensive available research on the relationship between fear of COVID-19 pandemic and physical symptoms. This study was the first to examine the cyberchondria and COVID-19 preventive behavior as mediators of this relationship.

METHODS

A cross-sectional study was conducted from October to December 2021, during the fourth wave of the COVID-19 pandemic in Russia. The participants were 2,011 Russian-speaking volunteers aged 18 years and older. They completed questionnaires on somatic burden, cyberchondria, COVID-19 preventive behavior, and fear of COVID-19 pandemic. Mediation analysis was used to explore the mediating roles of cyberchondria and preventive behavior in the relationship between fear of COVID-19 and somatic burden.

RESULTS

Fear of COVID-19 positively predicted somatic burden, cyberchondria, and COVID-19 preventive behavior. Mediation analysis showed that the relationship between fear of COVID-19 pandemic and somatic burden was mediated by cyberchondria (effect = 0.08, bootstrapping SE = 0.01, bootstrapping 95% CI [0.08, 0.12]), but not COVID-19 preventive behavior (effect = 0.02, bootstrapping SE = 0.01, bootstrapping 95% CI [0.00, 0.05]).

CONCLUSION

The findings suggest that cyberchondria had negative effects on somatic burden during the COVID-19 pandemic. The knowledge of the mediating role of cyberchondria may be used by health care workers when consulting persons with physical health complaints and psychosomatic disorders.

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.

The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China

Cyberchondria is considered “the anxiety-amplifying effects of online health-related searches.” During the COVID-19 pandemic, people are likely to search health-related information online for reassurance because of fear and related physical symptoms, while cyberchondria may be triggered due to the escalation of health anxiety, different online seeking behavior preference, information overload, and insufficient e-health literacy. This study aimed to investigate the status and influencing factors of cyberchondria in residents in China during the epidemic period of COVID-19. The participants were 674 community residents of Nanyang city surveyed from February 1 to 15, 2020. We administered online measures, including the Chinese Short Form of the Cyberchondria Severity Scale (C-CSS-12), Short Health Anxiety Inventory (SHAI), eHealth Literacy Scale (eHEALS), Patient Health Questionnaire-15 (PHQ-15), and COVID-19-related online information seeking behavior questionnaire. In our study, the average C-CSS-12 total score of residents was 30.65 ± 11.53 during the virus epidemic; 25% of participants scored 22 or below, 50% scored 23 to 38, and 21.9% scored 39 to 60. The SHAI total score (β = 0.598 > 0, P < 0.001), the use of general search engines (β = 1.867 > 0, P = 0.039), and searching for information on how to diagnose COVID-19 (β = 2.280 > 0, P = 0.020) were independent risk factors for cyberchondria, while searching lasting less than 10 min each (β = −2.992 < 0, P = 0.048), the use of traditional media digital platforms (β = −1.650 < 0, P = 0.024) and professional medical communication platforms (β = −4.189 < 0, P = 0.007) were independent protective factors. Our findings showed that nearly a quarter of the participants scored 39 or higher on the C-CSS-12 in Nanyang city during the pandemic, which should be taken seriously. Health anxiety and COVID-19-related online information seeking behavior including online duration, topics and choice on different information channels were important influencing factors of cyberchondria. These findings have implications for further research and clinical practice on cyberchondria in China.

Conceptualizations of Cyberchondria and Relations to the Anxiety Spectrum: Systematic Review and Meta-analysis

BACKGROUND

Cyberchondria describes the detrimental effects of health-related internet use. Current conceptualizations agree that cyberchondria is associated with anxiety-related pathologies and may best be conceptualized as a safety behavior; however, little is known about its exact underlying mechanisms.

OBJECTIVE

This systematic review and meta-analysis aims to give an overview of the conceptualizations of cyberchondria and its relation to anxiety-related pathologies, quantify the strength of association to health anxiety by using meta-analyses, highlight gaps in the literature, and outline a hypothetical integrative cognitive-behavioral model of cyberchondria based on the available empirical evidence.

METHODS

A systematic literature search was conducted using PubMed, Web of Science, and PsycINFO electronic databases. A total of 25 studies were included for qualitative synthesis and 7 studies, comprising 3069 individuals, were included for quantitative synthesis. The meta-analysis revealed a strong association of cyberchondria (r=0.63) and its subfacets (r=0.24-0.66) with health anxiety.

RESULTS

The results indicate that cyberchondria is a distinct construct related to health anxiety, obsessive-compulsive symptoms, intolerance of uncertainty, and anxiety sensitivity. Further studies should distinguish between state and trait markers of anxiety-related pathologies and use experimental and naturalistic longitudinal designs to differentiate among risk factors, triggers, and consequences related to cyberchondria.

CONCLUSIONS

Health-related internet use in the context of health anxiety is best conceptualized as health-related safety behavior maintained through intermittent reinforcement. Here, we present a corresponding integrative cognitive-behavioral model.

Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

BACKGROUND

Studies have highlighted that fear and anxiety generated by COVID-19 are important psychological factors that affect all populations. There currently remains a lack of research on specific amplification factors regarding fear and anxiety in the context of the COVID-19 pandemic. Despite established associations between anxiety sensitivity, intolerance of uncertainty, and cyberchondria, empirical data investigating the associations between these three variables, particularly in the context of the COVID-19 pandemic, are currently lacking. Urgent research is needed to better understand the role of repeated media consumption concerning COVID-19 in amplifying fear and anxiety related to COVID-19.

OBJECTIVE

This study investigated the associations between fear of COVID-19, COVID-19 anxiety, and cyberchondria.

METHODS

Convenience sampling was used to recruit respondents to participate in an online survey. The survey, which was distributed via social media and academic forums, comprised the Cyberchondria Severity Scale, Fear of COVID-19 Scale, Coronavirus Anxiety Scale, Anxiety Sensitivity Index, and Intolerance of Uncertainty Scale. Multiple mediation analyses were conducted using structural equation modeling.

RESULTS

A total of 694 respondents (males: n=343, females: n=351) completed the online survey. The results showed that fear and anxiety generated by COVID-19 predicted cyberchondria (fear: β=.39, SE 0.04, P<.001, t=11.16, 95% CI 0.31-0.45; anxiety: β=.25, SE 0.03, P<.001, t=7.67, 95% CI 0.19-0.32). In addition, intolerance of uncertainty and anxiety sensitivity mediated the relationship between fear and anxiety generated by COVID-19 with cyberchondria. In a reciprocal model, the standardized total effects of cyberchondria on fear of COVID-19 (β=.45, SE 0.04, P<.001, t=15.31, 95% CI 0.39-0.51) and COVID-19 anxiety (β=.36, SE 0.03, P<.001, t=11.29, 95% CI 0.30-0.41) were statistically significant, with moderate effect sizes. Compared to males, females obtained significantly higher scores for cyberchondria (t_1,692=-2.85, P=.004, Cohen d=0.22), COVID-19 anxiety (t_1,692=-3.32, P<.001, Cohen d=0.26), and anxiety sensitivity (t_1,692=-3.69, P<.001, Cohen d=0.29).

CONCLUSIONS

The findings provide a better understanding of the role of COVID-19 in amplifying cyberchondria. Based on these results, cyberchondria must be viewed as a significant public health issue. Importantly, increasing awareness about cyberchondria and online behavior at both the individual and collective levels must be prioritized to enhance preparedness and to reduce the adverse effects of current and future medical crises.

Using Fear and Anxiety Related to COVID-19 to Predict Cyberchondria: Cross-sectional Survey Study

Background

Studies have highlighted that fear and anxiety generated by COVID-19 are important psychological factors that affect all populations. There currently remains a lack of research on specific amplification factors regarding fear and anxiety in the context of the COVID-19 pandemic. Despite established associations between anxiety sensitivity, intolerance of uncertainty, and cyberchondria, empirical data investigating the associations between these three variables, particularly in the context of the COVID-19 pandemic, are currently lacking. Urgent research is needed to better understand the role of repeated media consumption concerning COVID-19 in amplifying fear and anxiety related to COVID-19.

Objective

This study investigated the associations between fear of COVID-19, COVID-19 anxiety, and cyberchondria.

Methods

Convenience sampling was used to recruit respondents to participate in an online survey. The survey, which was distributed via social media and academic forums, comprised the Cyberchondria Severity Scale, Fear of COVID-19 Scale, Coronavirus Anxiety Scale, Anxiety Sensitivity Index, and Intolerance of Uncertainty Scale. Multiple mediation analyses were conducted using structural equation modeling.

Results

A total of 694 respondents (males: n=343, females: n=351) completed the online survey. The results showed that fear and anxiety generated by COVID-19 predicted cyberchondria (fear: β=.39, SE 0.04, P<.001, t=11.16, 95% CI 0.31-0.45; anxiety: β=.25, SE 0.03, P<.001, t=7.67, 95% CI 0.19-0.32). In addition, intolerance of uncertainty and anxiety sensitivity mediated the relationship between fear and anxiety generated by COVID-19 with cyberchondria. In a reciprocal model, the standardized total effects of cyberchondria on fear of COVID-19 (β=.45, SE 0.04, P<.001, t=15.31, 95% CI 0.39-0.51) and COVID-19 anxiety (β=.36, SE 0.03, P<.001, t=11.29, 95% CI 0.30-0.41) were statistically significant, with moderate effect sizes. Compared to males, females obtained significantly higher scores for cyberchondria (t1,692=–2.85, P=.004, Cohen d=0.22), COVID-19 anxiety (t1,692=–3.32, P<.001, Cohen d=0.26), and anxiety sensitivity (t1,692=–3.69, P<.001, Cohen d=0.29).

Conclusions

The findings provide a better understanding of the role of COVID-19 in amplifying cyberchondria. Based on these results, cyberchondria must be viewed as a significant public health issue. Importantly, increasing awareness about cyberchondria and online behavior at both the individual and collective levels must be prioritized to enhance preparedness and to reduce the adverse effects of current and future medical crises.

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.

The mediating effect of the cyberchondria and anxiety sensitivity in the association between problematic internet use, metacognition beliefs, and fear of COVID-19 among Iranian online population

With the rapid growth of the novel coronavirus disease 2019 (COVID-19), individuals may try to find related medical information using the internet to overcome their fears. Under such circumstances, individuals with the features of cyberchondria, anxiety sensitivity, and metacognitive beliefs in negative thoughts may suffer more fears than those without these features. Therefore, the present study proposed a model to understand the associations between problematic internet use (PIU), cyberchondria, anxiety sensitivity, metacognition beliefs, and fear of COVID-19. Utilizing a cross-sectional online survey, 651 Iranians completed the following psychometric scales: Metacognition Questionnaire-30 (MCQ-30), Anxiety Sensitivity Questionnaire (ASI), Cyberchondria Severity Scale-Short Form (CSS-12), Fear of COVID-19 Scale (FCV-19S), and Generalized Problematic Internet Use Scale (GPIUS). Structural equation modeling (SEM) was used to assess the proposed model via several fit indices. The indices include Tucker-Lewis index (TLI), comparative fit index (CFI), standardized root mean square residual (SRMR), and root mean square error of approximation (RMSEA). The fit indices (CFI = 0.948, TLI = 0.938, RMSEA = 0.053, and SRMR = 0.001) indicated the good fit between the data and the proposed model. Moreover, fear of COVID-19 was significantly and directly predicted by cyberchondria (β = 0.479, p < .001) and anxiety sensitivity (β = 0.286, p < .001). The relationship between PIU and cyberchondria with fear of COVID-19 was mediated significantly by anxiety sensitivity and metacognitive beliefs. Because fear of COVID-19 was found to be significantly associated with cyberchondria and anxiety sensitivity, healthcare providers may want to provide additional support for those with cyberchondria and anxiety sensitivity tendencies.

Cyberchondria: conceptual relation with health anxiety, assessment, management and prevention

There is a need to synthesize available information on the emerging construct of cyberchondria to guide evidence informed practice. With this in mind, electronic search of databases including MEDLINE via PubMed, Cochrane Library, ScienceDirect and Google scholar were carried out from inception till March 2020 to identify relevant English language peer reviewed articles related to cyberchondria. Generated abstracts were grouped according to their thematic focus and summarized. A total of 49 articles were reviewed. Articles directly evaluating cyberchondria were very few and most of the treatment evidence was extrapolated from trials on health anxiety. Cyberchondria appears to be a phenomenologically overlapping entity with, yet distinguishable from, health anxiety and there may be merit in studying the two constructs separately. Four validated self-assessment measures for cyberchondria are available in literature. Cognitive behaviour therapy (CBT) delivered either physically or through the internet (iCBT) have been found to be effective for both health anxiety and cyberchondria. Pharmacologic strategies for health anxiety have mainly involved the use of Selective Serotonin Reuptake Inhibitors, with mean effective dosages higher than for depression/anxiety. Prevention of cyberchondria needs to focus on appropriate harm reduction strategies as well as supply and demand side measures. Internet based CBT therapies hold promise for management of cyberchondria. This finding must be considered preliminary due to limited evidence. Further study is required to establish the diagnostic validity of cyberchondria.