Anxiety sensitivity moderates the relationship between internet addiction and cyberchondria among nurses

Internet addiction and cyberchondria have a bidirectional relationship. However, no known studies have evaluated the moderating role of anxiety sensitivity in that relationship. The study aimed to determine whether anxiety sensitivity moderates the relationship between internet addiction and cyberchondria among Jordanian nurses. Data were collected from 303 nurses using a web-based survey and convenience snowballing sampling methods using a cross-sectional research design. The Internet Addiction Test and the short version of the Cyberchondria Severity Scale were used to assess internet addiction and cyberchondria. Nurses reported mild internet addiction, low anxiety sensitivity, and moderate cyberchondria. Also, these findings suggested that sensitivity to anxious feelings moderates the relationship between internet addiction and cyberchondria. These findings would help nurses use psychosocial interventions for people with internet addiction and cyberchondria by understanding how their anxiety sensitivity promotes their internet addiction and cyberchondria.

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.

Does Health Literacy Protect Against Cyberchondria: A Cross-Sectional Study?

Introduction: The use of online health resources and self-diagnosis intensified during the COVID-19 pandemic, often resulting in symptoms of cyberchondria. However, little is still known about this phenomenon's real scale and determinants. The aim of the study was to examine the prevalence of cyberchondria among adult internet users in Poland. Furthermore, the study was focused on analyzing the determinants of cyberchondria, with special regard to health literacy (HL) and e-health literacy (eHL). Methods: The analysis was based on data from a computer-assisted web-based interviewing survey performed with a sample of 1,613 internet users. Uni- and multivariable linear regression models were developed for potential determinants of cyberchondria. Results: Younger respondents were more likely to have higher cyberchondria scores than older respondents. Men were more likely to have lower cyberchondria scores than women. Higher health anxiety was significantly associated with cyberchondria severity. In the multivariable regression model, the severity of cyberchondria was significantly higher among respondents with inadequate rather than sufficient HL (B = 6.24, p < 0.001). In turn, greater eHL was significantly correlated with more severe cyberchondria (B = 0.92, p < 0.001). Conclusions: Our study confirmed that HL may be perceived as a protecting factor against cyberchondria. Unexpectedly, higher eHL predicts more severe cyberchondria.

Association between cyberchondria and the use of complementary and alternative medicine (CAM) - a cross-sectional study

INTRODUCTION AND OBJECTIVE

Cyberchondria has been described relatively recently as a behaviour characterized by excessive Internet searching for medical information related to increasing levels of health anxiety. Complementary and alternative medicine (CAM) refers to a broad set of health care practices that are not part of a country's traditional or conventional medicine, and are not fully integrated into the dominant health care system The aim of this study is to evaluate the relationship between cyberchondria and the use of complementary and alternative medicine.

MATERIAL AND METHODS

A cross-sectional study was conducted from 25 April - 25 December 2022. A computer-assisted web interviewing (CAWI) survey technique was used. The study population consisted of 626 respondents who took part in the study.

RESULTS

The severity of cyberchondria is associated with 'a greater number of CAM products used' (beta = 0.101; p = 0.043), 'a greater number of self-help techniques used' (beta = 0.210; p<0.001), searching for knowledge about CAM on the Internet (beta-0.199; p<0.001), using sources other than books (beta = -0.114; p = 0.025), younger age (beta = -0.170; p<0.001) and worse education (beta = -0.101; p = 0.033).

CONCLUSIONS

The research results indicate that there is a link between cyberchondria and the use of CAM. However, since some components of the CSS-PL scale and self-rated health were not associated with more frequent use of CAM, it is likely that these results may not be fully reliable. The association between cyberchondria and CAM use should be investigated in further studies using comprehensive medical interviews.

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.

Illness anxiety predicts higher mental strain and vaccine willingness-A nine-wave longitudinal study during the first 1.5 years of the COVID-19 pandemic in Germany

Illness anxiety may amplify vulnerability to psychopathological symptoms during the COVID-19-pandemic-perhaps especially at the beginning of the pandemic and during high infection waves, but empirical evidence on this is lacking. In addition, considering a potentially functional facet of it, illness anxiety might be associated with higher vaccine willingness. We analyzed data of a nine-wave longitudinal online-survey (March 2020-October 2021) with 8148 non-probability sampled adults of the general population in Germany (clinicaltrials.gov: NCT04331106). Using multilevel analysis, we investigated longitudinal associations of dimensionally assessed illness anxiety (worry about illness, bodily preoccupation) with mental strain and vaccine willingness and considered the dynamic of the pandemic (i.e., duration and infection rates). Higher worry about illness and bodily preoccupation were associated with higher COVID-19-related fears, unspecific anxiety, depressive symptoms, and vaccine willingness. Vaccine willingness increased over time and in parallel to higher infection rates. Symptoms of mental strain decreased with continuing duration of the pandemic but increased when infection rates inclined. This decrease and increase, respectively, was steeper in individuals with higher illness anxiety. Our findings suggest that individuals with higher illness anxiety are more vulnerable to experience psychopathological symptoms during the ongoing pandemic, particularly at its beginning and during times of high infection rates. Thus, illness anxiety and associated symptoms should be targeted by adaptive measures. The fluctuation of symptoms parallel to the pandemic situation implies that support should be particularly issued at the beginning of extraordinary situations as well as during phases of high infection rates.

Brave New Healthcare: A Narrative Review of Digital Healthcare in American Medicine

The digital revolution has had a profound effect on American and global healthcare, which was accelerated by the pandemic and telehealth applications. Digital health also includes popular and more esoteric forms of wearable monitoring systems and interscatter and other wireless technologies that facilitate their telemetry. The rise in artificial intelligence (AI) and machine learning (ML) may serve to improve interpretation from imaging technologies to electrocardiography or electroencephalographic tracings, and new ML techniques may allow these systems to scan data to discern and contextualize patterns that may have evaded human physicians. The necessity of virtual care during the pandemic has morphed into new treatment paradigms, which have gained patient acceptance but still raise issues with respect to privacy laws and credentialing. Augmented and virtual reality tools can facilitate surgical planning and "hands-on" clinical training activities. Patients are working with new frontiers in digital health in the form of "Dr. Google" and patient support websites to learn or share medical information. Patient-facing digital health information is both a blessing and curse, in that it can be a boon to health-literate patients who seek to be more active in their own care. On the other hand, digital health information can lead to false conclusions, catastrophizing, misunderstandings, and "cyberchondria." The role of blockchain, familiar from cryptocurrency, may play a role in future healthcare information and would serve as a disruptive, decentralizing, and potentially beneficial change. These important changes are both exciting and perplexing as clinicians and their patients learn to navigate this new system and how we address the questions it raises, such as medical privacy in a digital age. The goal of this review is to explore the vast range of digital health and how it may impact the healthcare system.

Investigation of the relationship between depression, cyberchondria levels and the quality of life of female students during the COVID-19 pandemic

This study aimed to explore the correlation between cyberchondria levels, depression risk, and the quality of life among female students amidst the COVID-19 pandemic. The research was conducted with 534 female students enrolled in a public university. Participants were asked to complete a Personal Information Form, Cyberchondria Severity Scale (CSS), Beck Depression Inventory (BDI), and "Short Form-36 (SF-36)" questionnaire. The findings from the multiple linear regression analysis revealed that the level of cyberchondria increased the depression risk by 0.06 times among students. Additionally, nonsmokers were found to have a depression risk that was 4.06 times lower than smokers. A negative and weak correlation was observed between the total score of the CSS and the SF-36 survey. Based on the study's results, it can be concluded that the participants exhibited a moderate level of cyberchondria. Moreover, the study revealed a decreased quality of life and an increased risk of depression in participants as their level of cyberchondria increased. In order to mitigate the adverse impact of current and future health crises, it is imperative to prioritize organizing educational programs aimed at enhancing the e-health literacy level among female students, along with interventions to manage cyberchondria behaviors.

Effects of the Fear of COVID-19 and Efficacy of Coping Behavior for Infectious Diseases after the End of COVID-19: Moderating Effects of Cyberchondria and eHealth Literacy

As the coronavirus disease (COVID-19) pandemic ends, it is worth considering whether the ability to cope with such a pandemic has improved. The initial response to COVID-19 was hampered by the fear of new infectious diseases and spread of misinformation on the Internet. This highlights the need to enhance our ability to critically evaluate information rather than indiscriminately search for and trust information on the Internet. Therefore, this study examined how cyberchondria and eHealth literacy moderate the effect of fear of COVID-19 on the efficacy of coping behaviors for future epidemics and pandemics. The participants were 1000 adults in South Korea who were selected based on population proportionality. The results showed that fear of COVID-19 was significantly positively related to cyberchondria, and eHealth literacy was significantly positively related to the efficacy of coping behaviors. Further, the fear of COVID-19 had a significantly negative effect on the efficacy of coping behaviors, and the moderating effect of cyberchondria varied according to the level of eHealth literacy. These results emphasize the importance of eHealth literacy in enabling critical decision-making regarding misinformation.

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.

Cyberchondria and its Association with Smartphone Addiction and Electronic Health Literacy among a Saudi Population

Background

Cyberchondria is a recent phenomenon characterized by the excessive/frequent searching of the internet for health-related information (HRI) that results in concerns/anxiety over health and wellness. Studies have shown an increase in the prevalence of cyberchondria and that it is associated with smartphone addiction and eHealth literacy, but few such studies are available from Saudi Arabia.

Methods

This cross-sectional study included adult Saudis living in Jeddah, Saudi Arabia, and was conducted between May 1 and June 30, 2022. A four-section questionnaire was distributed using Google Forms, and included the Cyberchondria Severity Scale (CSS), Smartphone Addiction Scale-Short Version (SAS), and Electronic Health Literacy scale (eHEALS). The scales were translated into Arabic using the forward-backward technique, and then evaluated for content validity, face validity, and reliability.

Results

The reliability of the translated versions was satisfactory: CSS Cronbach's alpha = 0.882; SAS = 0.887; eHEALS = 0.903. A total of 518 participants were inlcuded, of which the majority were female (64.1%). The prevalence of cyberchondria was 2.1% (95% CI: 1.1-3.8), 83.4% (79.9-86.5), and 14.5% (11.6-17.8) for low, moderate, and high grades, respectively. Two-thirds of the participants (66.6%) had smartphone addiction, while three-fourths (72.6%) had a high level of eHealth literacy. There were significant correlations between cyberchondria and smartphone addiction (r = 0.395, CI = 0.316/0.475, P = 0.0001) and high eHealth literacy (r = 0.265, CI = 0.182/0.349, P = 0.0001).

Conclusion

The study revealed a high prevalence of cyberchondria in a Saudi population, and this was associated with smartphone addiction and high eHealth literacy.

Cyberchondria among information technology professionals of Bhubaneswar by using cyberchondria severity scale (CSS-15)

Background

Internet can act as an excellent resource for gaining valuable health related information. However, excessive online research and investigation about health-related issues may impose a negative impact. The term cyberchondria is used to describe a clinical condition in which frequent internet searches for health-related information leads to exaggerated anxieties about physical well-being.

Objectives

To determine the prevalence of cyberchondria and associated factors among the information technology professionals of Bhubaneswar in India.

Materials and methods

A cross-sectional study was carried out among 243 software professionals in Bhubaneswar using a previously validated Cyberchondria Severity Scale (CSS-15) questionnaire. Descriptive statistics in terms of number, percentage, mean and standard deviation were presented. Independent t-test and one-way analysis of variance was applied to compare the cyberchondria score between two and more than two independent variables respectively.

Results

From 243 individuals 130 (53.5%) were males and 113 (46.5%) were females with mean age 29.82±6.67 years. The prevalence of cyberchondria severity was found to be 46.5%. The mean cyberchondria score of all study subjects was 43.80±10.62. It was significantly higher among those who spend more than 1 hour in the internet during night, feel fear and anxiety in visiting the doctor or dentist, interested in gaining the health-related information from other resources and agreed that gaining health related information has increased after COVID-19 pandemic (p˂0.05).

Conclusion

Cyberchondria is a growing issue with regard to mental health in developing countries and has the ability to cause anxiety and distress. Appropriate actions must be taken to prevent it on a societal level.

How cyberchondria and decision self-efficacy shapes the acceptability of COVID-19 vaccine: A gender-based comparison

Objective

Alarmingly, the individuals' reach and coverage to get vaccinated in developing regions during the pandemic is a massive challenge for concerned authorities. This study aimed to demonstrate how cyberchondria play a significant role in a classical health belief model. Cyberchondria may influence cognitive factors (e.g. self-efficacy), which may contribute to an increase in attitude-behavior gap. Especially in the context of a health-centric scenario, it may discourage individuals to take protective measures.

Method

By using the cross-sectional research design, the authors conducted a quantitative survey in Pakistan and collected 563 responses from 303 male respondents (rural = 91; urban = 212) with (Urban M:35.5, standard deviation (SD):13.4) and rural M:37.5, SD:8.4).

Result

The findings indicate that decision self-efficacy among males is stronger than that in females. It dominates other determinants, which can dampen the individuals' intentions to get vaccinated. For instance, the effect of conspiracies and perceived seriousness was noted nonsignificant and weak. In females, perceived seriousness was stronger determinant than in males. In addition, the negative effect of decision self-efficacy was noted in the case of females, and conspiracy and cyberchondria had a negative role.

Conclusion

This study highlights valuable implications for future research in infodemic, health communication and health literacy, and practical implications for regulatory bodies and public administration.

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.

An examination of cyberchondria's relationship with trait anxiety and psychological well-being in women of reproductive age: A cross-sectional study

Online environments have become the main sources of health-related information. However, if used incorrectly, this can decrease the level of well-being. Cyberchondria corresponds to the hypochondria in the digital age. We aimed to investigate the relationship between cyberchondria and trait anxiety, psychological well-being, and other factors in women of reproductive age. This study used a descriptive cross-sectional design. Face-to-face questionnaires were administered to women aged 18 to 49. The sample size was formed and stratified according to the population of the 47 family health centers to reflect the entire population. The questionnaire included a sociodemographic information form, the Cyberchondria Severity Scale (CSS), the State-Trait Anxiety Inventory, and the Psychological Well-Being Scale (PWBS). This study included 422 participants. The average daily use of the Internet was 2.14 ± 1.837 hours, while that of social media was 2.69 ± 2.027 hours. The mean CSS score was 89.42 ± 21.688; the mean trait anxiety score was 44.34 ± 8.791, and the mean PWBS score was 324.26 ± 35.944. Factors that interacted with the level of cyberchondria were the trait anxiety score, PWBS score, alcohol consumption, and average daily use of the internet and social media. Increased online time, alcohol consumption, trait anxiety levels, and psychological well-being increase cyberchondria levels. Improvements must be made in the accuracy of online information, which is unsupervised and easily accessible to society as a source of information. Future studies should focus on the prevention, detection, and treatment of cyberchondriasis. Identifying and improving the factors affecting women's and mothers' cyberchondria will also increase the chances of providing primary protection against certain diseases.

Cyberchondria, Anxiety Sensitivity, Hypochondria, and Internet Addiction: Implications for Mental Health Professionals

Repetitive online searches for health information increase anxieties and result in Internet addiction. Internet addiction, cyberchondria, anxiety sensitivity, and hypochondria have been studied separately, but how these concepts are reciprocally linked has not been investigated. This study aimed to determine the levels, correlations, and predictors of Internet addiction, cyberchondria, anxiety sensitivity, and hypochondria among students based on the sample's characteristics. A sample of 143 university students participated in this cross-sectional online survey. A self-reported questionnaire was employed to collect data from students. The studied concepts had moderate to high correlations with each other and with the students' characteristics. Not getting infected with the coronavirus was among the demographic factors inserted into the regression model that only predicted cyberchondria. The model of cyberchondria was significant and explained 11.5% of the variance in the score of concepts. The results of the standard regression analysis indicated that the model predicting Internet addiction accounted for 41.2% of the variability. Our unique findings indicate that cyberchondria can contribute to developing Internet addiction compared to earlier studies. The findings suggest the importance of empowering students to overcome their anxieties by managing cyberchondria and Internet addiction. Mental health professionals, namely psychiatric nurses, are at the forefront of taking preventive mental health measures on campus, such as screening and referring students who exhibit these problems to psychological support and counseling to cope with their anxieties.

Social Support Mediates the Association between Health Anxiety and Quality of Life: Findings from a Cross-Sectional Study

This study aimed to test if perceived social support and cyberchondria mediate the association between health anxiety and quality of life (QoL) in a nonclinical sample. Cross-sectional research involved adult internet users (n = 538) between 16 May 2020 and 29 December 2020 in Poland who completed self-report questionnaires, including the cyberchondria severity scale (CSS-PL), the short health anxiety inventory (SHAI), the multidimensional scale of perceived social support (MSPSS) and the quality of life scale (QOLS). A mediation analysis was performed to examine the direct effects of health anxiety on cyberchondria, perceived social support and quality of life. Likewise, the effects of cyberchondria and perceived social support on QoL were analyzed. Hence, indirect effects of health anxiety on QoL through cyberchondria and perceived social support were explored. Health anxiety significantly impaired QoL both directly and indirectly through low-perceived social support. Perceived social support partly mediated the association between health anxiety and QoL. Cyberchondria did not have a significant direct effect on the latter. Thus, cyberchondria did not mediate the relationship between health anxiety and QoL. Boosting-perceived social support may mitigate the detrimental effect of health anxiety on QoL. Cyberchondria was not found to have a significant effect on QoL in contrast to health anxiety alone.

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.

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.

Insights into the antecedents of cyberchondria: a perspective from the USA

This study establishes a theoretical framework for assessing antecedents of cyberchondria, which is a process of amplified anxiety about one's health because of excessive online health information seeking. We examined the framework through partial least squares structural equation modeling after collecting data through a cross-sectional online survey. This research contributes to the literature by (i) evaluating the roles of health anxiety (HA) and affective responses (AR) on cyberchondria; (ii) equipping health strategists with understanding about ways to tailor their educational and communication strategies to specific segments by importance-performance map analysis and necessary condition analysis. Finally, by (iii) providing strategic tactics to curb cyberchondria so that it becomes possible to attain a better patient outcome. Findings suggest that the existing association between intolerance of uncertainty and cyberchondria is serially mediated by HA and AR. For healthcare educators and practitioners, the findings of this research deliver a blueprint for effectively controlling cyberchondria.

Cyberchondria levels in women with human papilloma virus

AIM

To investigate the level of cyberchondria in patients with high-risk human papilloma virus (HPV) positivity.

METHODS

One hundred and forty women who applied to our clinic between July 2020 and September 2020 and were diagnosed with high-risk HPV positivity or abnormal uterine bleeding (AUB) were included in the study. The Cyberchondria Severity Scale (CSS) was administered face-to-face to the participants. CSS and subscales scores of both groups of patients were evaluated and compared.

RESULTS

The mean score of the patients on the CSS was 78.54 ± 22.09 and the patients with AUB and HPV(+) was 67.43 ± 19.87 and 84.16 ± 21.08, respectively. The mean subscale scores were as follows, compulsion 13.89 ± 6.49, distress 20.07 ± 7.54, excessiveness 22.40 ± 8.18, reassurance 15.07 ± 6.56, and mistrust of medical professionals 7.26 ± 3.62. The mean scores of the CSS and subscales except for the mistrust of medical professional subscale were higher in patients who were HPV-positive than in other patients.

CONCLUSIONS

Women with HPV have higher levels of cyberchondria. Medical professionals can reduce this anxiety by giving information to patients.

Antecedents of students’ e-learning continuance intention during COVID-19: An empirical study

This study aims at exploring the underlying determinants influencing students' continuance intention to use an e-Learning platform during the COVID-19 pandemic. Based on the technology acceptance model and expectation-confirmation model, the study investigated the role of contextual (i.e., social isolation), psychological (academic year loss and cyberchondria), and student support-related (government and institutional supports) determinants on students' continuance intention to use an e-Learning platform during the pandemic. The study collected data from 440 respondents and analyzed those with Structural Equation Modeling. The findings showed that an e-Learning continuance intention during the pandemic is affected by usefulness, ease of use, attitudes, and intention to use the e-Learning platform; while the behavioral intention is influenced by usefulness, ease of use, attitudes, contextual, psychological, and student support-related determinants; and attitudes are impacted by usefulness and ease of use. Moreover, usefulness is predicted by confirmation of expectation; e-satisfaction is forecasted by usefulness and confirmation of expectation; whereas, cyberchondria is influenced by social isolation; fear of academic year loss is influenced by cyberchondria. Finally, intention to use mediated the impact of usefulness, ease of use, attitudes, contextual, psychological, and student support-related determinants on continuance intention. The study contributes to e-Learning literature incorporating contextual, psychological, and student support-related determinants into the technology acceptance model and expectation-confirmation model, which guide policymakers to understand how all levels of students can be brought into the e-Learning platforms that eventually help to eliminate digital discrimination barrier in the academia during any emergency. The policymakers must be careful in designing eLearning platforms since students' e-learning continuance intention may vary due to unprecedented crises, such as COVID-19.

Does Cyberchondria Mediate the Effect of COVID-19 Fear on the Stress?

To determine the effect of COVID-19 fear on the stress of the individuals, and to investigate the mediating role of cyberchondria on this effect. The population of the present study consisted of the individuals 18 years of age or older who were resident in the Bursa province of Turkey. The research enrolled 425 individuals who agreed to complete the questionnaire. The questionnaire, which consists of four sections including, (1) sociodemographic characteristics; (2) fear of COVID-19 scale; (3) short cyberchondria scale; and (4) perceived stress scale, was used to collect data in the study. Descriptive statistical methods and path analysis were used for data analysis. Fear of COVID-19 has a significant effect on perceived stress/distress which is mediated by cyberchondria. However, fear of COVID-19 does not have a significant effect on perceived insufficient self-efficacy. Similarly, cyberchondria does not have a mediating role in this effect. Reliable and accurate information resources should be presented about COVID-19; the individuals should adopt behaviors that would improve their health; and getting professional help should be encouraged for those with psychological problems. Otherwise, fear of COVID-19 causes perceived stress/distress to the individuals.

Relationship between Health-Anxiety and Cyberchondria: Role of Metacognitive Beliefs

Purpose: The current study was designed to examine the relationship between health anxiety, cyberchondria (its constructs), and metacognitive beliefs. In addition, it also evaluated the moderating role of metacognitive beliefs in this relationship. Design and Method: The present study used the purposive sampling technique to acquire a sample of (N = 500) adults, among them (N = 256) women and (N = 244) men, and the age of the sample ranged from 20 to 50 years. Short Health Anxiety Inventory, Cyberchondria Severity Scale, and Metacognitions Questionnaire–Health Anxiety were used to operationalize the present study variables. Findings: The descriptive statistics revealed that all instruments have good psychometric properties, as Cronbach’s alpha coefficients for all scales are ≥0.70. In addition to this, the Pearson correlation showed that all variables of the present study have a significant positive correlation with each other. Furthermore, the regression analysis described that health anxiety and metacognitive beliefs (biased thinking and beliefs about uncontrollable thoughts) were the significant positive predictors of cyberchondria. Moreover, moderation analysis showed that metacognitive beliefs significantly strengthened the association between health anxiety and cyberchondria and its constructs. Practical Implications: The present study will help medical practitioners to understand how metacognitive beliefs and health anxiety can cause an increase in cyberchondria. This will help them to design better treatment plans for people with cyberchondria.

The Portrait of Cyberchondria-A Cross-Sectional Online Study on Factors Related to Health Anxiety and Cyberchondria in Polish Population during SARS-CoV-2 Pandemic

The SARS-CoV-2 pandemic has served as a magnifying glass for cyberchondria, while the internet emerged as one of the main sources of medical information and support. The core ambition of this study was to estimate the level of cyberchondria and describe the socio-demographic, clinical and pandemic-related factors affecting its severity amid the SARS-CoV-2 pandemic. A cross-sectional study was performed between 16 May 2020 and 29 December 2020 in Poland within a sample of 538 adult internet users. The online survey tool included a Polish adaptation of the Cyberchondria Severity Scale (CSS-PL) and the Short Health Anxiety Inventory (SHAI), complemented with a set of questions covering sociodemographic, clinical and pandemic-related factors. Participants were clustered according to severity of health anxiety and cyberchondria symptoms. The performed binary logistic regression indicated professional inactivity, having a chronic mental disorder and subjectively limited access to healthcare due to COVID-19 to be key determinants of severe health anxiety and cyberchondria. Cyberchondria might be a remarkable public health issue as large proportion of respondents from the analyzed sample population of internet users met the criteria for severe symptoms. Key determinants of intense cyberchondria corresponded with employment stability, mental resilience and accessibility of healthcare services, which could be greatly challenged amid the pandemic.

Does cyberchondria predict Internet addiction among students during the COVID-19 pandemic? A web-based survey study

BACKGROUND

Previous literature has investigated the association of this phenomenon and Internet addiction. Nevertheless, little research has been conducted to elucidate the predictive associations among these concepts among students.

OBJECTIVE

This study reported students' cyberchondria and Internet addiction, and it examined whether cyberchondria predicts Internet addiction.

MATERIAL AND METHODS

During the COVID-19 pandemic, cross-sectional data were collected using a web survey from a convenience snowball sample of 143 students enrolled in e-learning courses at a governmental university.

RESULTS

A moderate level of cyberchondria and a mild level of Internet addiction was evident among students. A moderate level of cyberchondria and a mild level of Internet addiction was evident among students. Moderate to high significant correlations were reported among the studied concepts and with the sample's characteristics. Cyberchondria and unavailability of the Internet at school were predictors of Internet addiction.

IMPLICATIONS

Healthcare providers, including nurses, should provide information that preserves students' mental health during stressful periods such as the COVID-19 pandemic and should offer clear instructions on stress and anxiety management during such times. A longer scale, especially for cyberchondria, is warranted in future research with a random and larger sample.

CONCLUSIONS

Findings suggest that cyberchondria serves as a predictor of Internet addiction, contrary to findings of previous studies. Various psychosocial interventions should always be initiated to help students prevent or address cyberchondria and Internet addiction.

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.

The effect of the COVID-19 pandemic on health anxiety and cyberchondria levels of university students

OBJECTIVE

Our study hypothesizes that the fear and panic of COVID-19 triggers cyberchondria (CYB) in students thus increasing health anxiety. In this way, we aim to determine the effect of the belief of previously having had and not having had COVID-19 on health anxiety and CYB levels of the university students.

METHODS

Our study is a descriptive cross-sectional study. The target population of our study consisted of 950 students who were continuing their education in the Vocational School of Health Services, an associate degree program of a university, and the samples consisted of 794 students (85.5%) who filled out our questionnaire (n = 794). The questionnaire form included the information regarding sociodemographic characteristics and the symptoms of COVID-19, and the obtained data were electronically collected altogether with Cyberchondria Scale (CS) and Health Anxiety Inventory.

FINDINGS

Health anxiety mean scores were significantly higher in people who lived alone, had a chronic disease, searched for symptoms online, and took herbal supplements against COVID-19 (p < 0.05). The mean total scores of Health Anxiety Inventory, CS, Anxiety-Increasing Factors Subscale of the students who believe they have had COVID-19 were significantly lower compared to the scores of those who believe they have not had COVID-19. Nevertheless, women and people living alone and in cities had significantly high CS scores (p < 0.05).

CONCLUSION

The increase in infodemia can be prevented with the services offered by specialists through mental health helpline or websites to people with high health anxiety or CYB levels, especially to women, and to people living alone and in urban areas.

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.

The structural model of cyberchondria based on personality traits, health-related metacognition, cognitive bias, and emotion dysregulation

INTRODUCTION

Cyberchondria is excessive seeking for online health-related information related to increasing health anxiety and distress levels. The current study investigated the mediating role of health-related metacognition, cognitive bias, and emotion dysregulation in the relationship between personality traits and cyberchondria.

METHODS

Participants were 703 individuals 18+ years old who had access to the internet (males = 43.8%, mean age = 33.82 ± 10.09 years and females = 56.2%, mean age = 34.37 ± 11.16 years). They voluntarily completed a questionnaire package that included the Cyberchondria Severity Scale (CSS), the revised NEO Personality Inventory (NEO-PI-R), the Difficulties in Emotion Regulation Scale (DERS), the Meta-Cognitions about Health Questionnaire (MCQ-HA), and the Health Cognitions Questionnaire (HCQ).

RESULTS

The initial evaluation of the model demonstrated that the personality traits of openness to experience, agreeableness, and conscientiousness had no significant relationship with other variables in the structural model, and the effects of neuroticism and extroversion were the only significant results. Rerunning the model with the removal of non-significant variables revealed a full mediation of health-related metacognition, cognitive bias, and emotion dysregulation in the relation between personality traits (neuroticism and extraversion) and cyberchondria. Fit indices demonstrated the acceptable fit of the model with the collected data (χ² = 979.24, p <.001; NFI = 0.92, CFI = 0.93, GFI = 0.90, IFI = 0.93, RMSEA = 0.071, and SRMR = 0.063). The results indicated that the present model could explain R ² = 54% of cyberchondria variance.

DISCUSSION

These findings suggest that health-related metacognition, cognitive bias, and emotion dysregulation could demonstrate a full mediating role in the correlation between personality traits and cyberchondria.

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.

Commentary: Worshipping the internet - the perils of serving an unpredictable master - a commentary on Aboujaoude and Gega (2021)

Numerous links have been established between cybertechnology and mental health problems. Although the direction of causality in the relationship between internet misuse and mental disturbance remains unclear, the cyberworld may contribute to the shaping of psychopathology in various ways. These include internet-enhanced impulsivity, disinhibition and aggression, attentional problems, difficulties in coping with online information and selective and constraining online interactions with likeminded individuals. One of the imperatives of public health is to help internet users, especially those who are vulnerable such as children and adolescents, to be aware of the risks involved in interactions with the digital technologies and educate them about circumventing the dangers and seeking help.

The relative contribution of health cognitions and metacognitions about health anxiety to cyberchondria: A prospective study

OBJECTIVES

Cyberchondria involves the excessive and compulsive use of the Internet to search for health information. The present study investigated the relative contribution of health cognitions and metacognitions about health anxiety to prospective cyberchondria scores, controlling for health anxiety and hours spent online per day.

METHODS

A convenience sample of 221 participants was recruited for the purpose of this study with a final sample totaling 125 participants (58.4% females, M_age  = 34.51 years) who completed the full survey at baseline (T₀ ) and a measure of cyberchondria after 30 days (T₁ ).

RESULTS

The results of the study showed that metacognition about health anxiety relating to beliefs about the uncontrollability of thoughts was the only significant predictor of prospective cyberchondria scores when controlling for health anxiety.

CONCLUSIONS

These results offer further support to the role of beliefs about the uncontrollability of thoughts in cyberchondria. The implications of the findings are discussed.

Associations Between the Perceived Severity of the COVID-19 Pandemic, Cyberchondria, Depression, Anxiety, Stress, and Lockdown Experience: Cross-sectional Survey Study

Background

The outbreak of the COVID-19 pandemic has caused great panic among the public, with many people suffering from adverse stress reactions. To control the spread of the pandemic, governments in many countries have imposed lockdown policies. In this unique pandemic context, people can obtain information about pandemic dynamics on the internet. However, searching for health-related information on the internet frequently increases the possibility of individuals being troubled by the information that they find, and consequently, experiencing symptoms of cyberchondria.

Objective

We aimed to examine the relationships between people’s perceived severity of the COVID-19 pandemic and their depression, anxiety, and stress to explore the role of cyberchondria, which, in these relationship mechanisms, is closely related to using the internet. In addition, we also examined the moderating role of lockdown experiences.

Methods

In February 2020, a total of 486 participants were recruited through a web-based platform from areas in China with a large number of infections. We used questionnaires to measure participants’ perceived severity of the COVID-19 pandemic, to measure the severity of their cyberchondria, depression, anxiety, and stress symptoms, and to assess their lockdown experiences. Confirmatory factor analysis, exploratory factor analysis, common method bias, descriptive statistical analysis, and correlation analysis were performed, and moderated mediation models were examined.

Results

There was a positive association between perceived severity of the COVID-19 pandemic and depression (β=0.36, t=8.51, P<.001), anxiety (β=0.41, t=9.84, P<.001), and stress (β=0.46, t=11.45, P<.001), which were mediated by cyberchondria (β=0.36, t=8.59, P<.001). The direct effects of perceived severity of the COVID-19 pandemic on anxiety (β=0.07, t=2.01, P=.045) and stress (β=0.09, t=2.75, P=.006) and the indirect effects of cyberchondria on depression (β=0.10, t=2.59, P=.009) and anxiety (β=0.10, t=2.50, P=.01) were moderated by lockdown experience.

Conclusions

The higher the perceived severity of the COVID-19 pandemic, the more serious individuals’ symptoms of depression, anxiety, and stress. In addition, the associations were partially mediated by cyberchondria. Individuals with higher perceived severity of the COVID-19 pandemic were more likely to develop cyberchondria, which aggravated individuals’ depression, anxiety, and stress symptoms. Negative lockdown experiences exacerbated the COVID-19 pandemic’s impact on mental health.

Psychological distress in the context of the COVID-19 pandemic: the joint contribution of intolerance of uncertainty and cyberchondria

OBJECTIVE

To explore the direct and indirect associations between intolerance of uncertainty, health anxiety (HA), and psychological distress through problematic internet use (PIU) and cyberchondria, both before and during the first months of the COVID-19 pandemic.

DESIGN

Two Italian samples were enrolled via an online questionnaire. Sample 1 (N = 556; 69.3% females, M_age 29.6 years, SD = 13.2) was recruited in non-pandemic times, whereas Sample 2 (N = 575; 74% females, M_age 31.9 years, SD = 13.4) was recruited during the COVID-19 lockdown.

MAIN OUTCOME MEASURES

Self-report measures assessing HA and psychological distress.

RESULTS

Two distinct path analyses showed that intolerance of uncertainty was directly associated with HA and psychological distress in both samples. Moreover, cyberchondria partially mediated the relationship between intolerance of uncertainty and HA and PIU partially mediated the relationship between intolerance of uncertainty and psychological distress in both samples. The link between cyberchondria and psychological distress was significant in Sample 2 but non-significant in Sample 1. The model accounted for a substantial variance of HA and psychological distress in both samples.

CONCLUSION

Our findings suggest that problematic online behaviors might exacerbate the negative consequences of intolerance of uncertainty in terms of higher levels of HA and psychological distress both in pandemic and non-pandemic contexts.

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.

Cyberchondria Amidst COVID-19 Pandemic: Challenges and Management Strategies

The corona-virus disease 2019 (COVID-19), first found in Wuhan, China in December 2019, has posed an inexplicable threat to the global community. After its inception, the virus proliferated rapidly, which led to the cause of millions of deaths, and having a detrimental effect on physical health, social lives, economic uncertainty, and mental health of people. The World Health Organization has reported that there are 111 million confirmed cases of COVID-19 and 2.45 million deaths due to COVID-19 worldwide. Indisputably, the present pandemic has contributed to the extensive psychological and environmental distress together with clinical depression, anxiety and post-traumatic stress disorder (PTSD), domestic violence, and unemployment. Due to the ambiguous nature of the pandemic, educational organizations, and outdoor activities are closed, thus burdening the mental health of younger populations. Children as well as youths are more glued to the Internet for their studies, online gaming, shopping, watching movies, and searching health-related information. Despite the advantages of using the Internet, it has some severe consequences too. Some people are repeatedly searching for physical and mental well-being related information without verifying credible sources, which, in turn, causes distress and anxiety. In such situations, individuals may end up contributing to an illness known as cyberchondria. In this paper, we have tried to highlight the problematic use of Internet for health-related searches and have outlined the management of such illness. We suggest two strategies: firstly, to reduce repeated online searches of health information and, secondly, to manage anxiety-augmenting thoughts that are triggered due to the maladaptive thoughts caused by the abstruse information.

Cyberchondria in the time of the COVID-19 pandemic

Cyberchondria is an excessive or repeated online health information seeking that is associated with increasing levels of health anxiety or distress. This article presents a model of cyberchondria during public health crises such as the COVID‐19 pandemic. The factors that contribute to cyberchondria at this time include (a) a heightened perception of threat and fear of a newly identified and poorly understood disease; (b) difficulty in coping with uncertainty associated with the pandemic; (c) lack of authoritative and trustworthy sources of relevant health information; (d) difficulty in coping with abundance of information that is often confusing, conflicting, unverified and constantly updated, along with a decreased ability to filter out unnecessary information; and (e) inability of excessive online health information seeking to provide the necessary information and deliver reassurance. These factors amplify fear and distress, which increases the perception of threat and uncertainty and perpetuates further online health searches. Cyberchondria has significant public health implications because of the associated distress or functional impairment and effects on health behaviors. Cyberchondria should be addressed by targeting a heightened perception of threat, improving management of uncertainty and online health information and promoting an ability to critically appraise the results of online health searches. This should contribute to a better online health information literacy. The model of cyberchondria during the COVID‐19 pandemic explains the hypothesized rise in cyberchondria during public health emergencies and helps to formulate a framework for prevention of cyberchondria and its effective management.

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.

•

We investigate people's purchase and isolation behavior during the COVID19 pandemic.

•

Information source exposure leads to information overload (IO) and cyberchondria.

•

IO had a negative effect on perceived severity, whereas cyberchondria had a positive impact.

•

Perceived severity (PS) positively affected intentions to self-isolate and unusual purchases.

•

Purchase self-efficacy reinforces the influence of PS on unusual purchases.

Cyberchondria During the Coronavirus Pandemic: The Effects of Neuroticism and Optimism

Health anxiety during the current coronavirus pandemic can be a serious psychological issue, amplified by the medical uncertainty around this disease and social isolation. As older people are especially at risk of becoming severely ill, it is important to examine the personal factors that make members of this age group more prone to health anxiety. Previous studies indicated that cyberchondria, i.e., the repeated online search for medical information, exacerbates health anxiety. The present research investigated the effect of two opposing traits, optimism and neuroticism, on cyberchondria during the COVID-19 pandemic. The associations of cyberchondria with demographic factors (age, gender, and education) were also examined. A sample of 880 participants, aged 15-67, 65% of whom were female, participated in an online survey. Results show that neuroticism, age, and being female are positively associated with cyberchondria. Optimism was found to be related to cyberchondria, but this effect was qualified by a significant interaction with age. Further analysis revealed that the effect of optimism was significant only in the highest age group. Moreover, among these elderly participants, the psychologically protective influence of optimism against cyberchondria emerged as larger than the opposite effect of neuroticism. This demonstrates the mental benefits of encouraging a positive outlook on the current health crisis and on one's personal resilience in facing it, especially among the elderly. Conversely, among people who use the Internet as a major source of medical information, those high in neuroticism may be more prone to cyberchondria.

Exploring cyberchondria and its associations in dental students amid COVID-19 infodemic

BACKGROUND

Adverse psychological effect of pandemic includes not only increased levels of stress, anxiety, and depression but also cyberchondria - the problematic online health research behavior. It is thought that the distress and uncertainty of pandemic clubbed with information overload and its ambiguity have paved the way for cyberchondria. Students being the vulnerable population, the present study was an effort at understanding cyberchondria in students.

AIM

The aim of the study is to assess cyberchondria and its association with depression, anxiety, stress, and quality of life (QOL) in dental students during the pandemic.

MATERIALS AND METHODS

An online questionnaire-based survey was carried out on dental students. The survey tool comprised a semi-structured pro forma, General Health Questionnaire-12, Depression Anxiety and Stress Scale 21, Cyberchondria Severity Scale 15, and European Health Interview Survey QOL 8.

RESULTS

The study revealed that 98.7% of the students were affected by one of the constructs of cyberchondria, viz., "excessiveness" (93.7%), followed by "distress" (84.3%) and "reassurance"-seeking behavior (83.7%). Cyberchondria affected girls more than boys and shared robust positive correlation with depression, anxiety, and stress but not QOL. Factors such as stress, anxiety, QOL, and changes in appetite were associated with higher severity of depression. Family financial losses, preexisting psychiatric illness, and media adverse effect shared robust positive associations with severity of depression, anxiety, and stress and an inverse association with QOL. 76.0% of the students expressed excessive worries regarding missing out on clinical exposure, and nearly half of the students were dissatisfied with eLearning. 78.3% of the students experienced changes in sleep; 68.7% had changes in appetite; and 89.0% reported reduction in the level of physical activity.

CONCLUSION

Cyberchondria is affecting the large majority of students. Educational institutions must put efforts to sensitize students about cyberchondria.

Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study

BACKGROUND

During the coronavirus disease (COVID-19) pandemic, governments issued movement restrictions and placed areas into quarantine to combat the spread of the disease. In addition, individuals were encouraged to adopt personal health measures such as social isolation. Information regarding the disease and recommended avoidance measures were distributed through a variety of channels including social media, news websites, and emails. Previous research suggests that the vast amount of available information can be confusing, potentially resulting in overconcern and information overload.

OBJECTIVE

This study investigates the impact of online information on the individual-level intention to voluntarily self-isolate during the pandemic. Using the protection-motivation theory as a framework, we propose a model outlining the effects of cyberchondria and information overload on individuals' perceptions and motivations.

METHODS

To test the proposed model, we collected data with an online survey (N=225) and analyzed it using partial least square-structural equation modeling. The effects of social media and living situation were tested through multigroup analysis.

RESULTS

Cyberchondria and information overload had a significant impact on individuals' threat and coping perceptions, and through them on self-isolation intention. Among the appraisal constructs, perceived severity (P=.002) and self-efficacy (P=.003) positively impacted self-isolation intention, while response cost (P<.001) affected the intention negatively. Cyberchondria (P=.003) and information overload (P=.003) indirectly affected self-isolation intention through the aforementioned perceptions. Using social media as an information source increased both cyberchondria and information overload. No differences in perceptions were found between people living alone and those living with their families.

CONCLUSIONS

During COVID-19, frequent use of social media contributed to information overload and overconcern among individuals. To boost individuals' motivation to adopt preventive measures such as self-isolation, actions should focus on lowering individuals' perceived response costs in addition to informing them about the severity of the situation.

Testing the Italian version of the Cyberchondria Severity Scale and a metacognitive model of cyberchondria

Cyberchondria refers to the tendency to excessively and compulsively search for online medical information despite the distress experienced, with consequent impairment of daily-life activities. The current two studies sought to explore (i) the factor structure of the Italian version of the Cyberchondria Severity Scale (CSS) and (ii) a metacognitive model of cyberchondria. Participants were Italian community adults who reported using the Internet to search for health-related information (Study 1: N = 374, Study 2: N = 717). Results from Study 1 supported the Italian version of the CSS exhibiting a five-factor structure, with the resulting scales demonstrating good internal consistency, 5-week test-retest reliability, and generally strong correlations with indices of health anxiety. In Study 2, results of a path analysis showed that the negative metacognitive belief domain ("thoughts are uncontrollable") shared the strongest direct association with each of the five dimensions of cyberchondria, followed by beliefs about rituals. Consistently, the strongest indirect associations were found between "thoughts are uncontrollable" and all the five cyberchondria dimensions via beliefs about rituals. These results provide support for an Italian version of the CSS and the metacognitive conceptualization of cyberchondria.

Evaluating the Cyberchondria Construct Among Computer Engineering Students in Pune (India) Using Cyberchondria Severity Scale (CSS-15)

Background:

The Internet has become an important tool in day-to-day life. Reading medical data from Internet sources can have a negative impact on the common man. Anxiety due to excess searching for medical information online is known as cyberchondria.

Aim:

To evaluate the cyberchondria construct among the computer engineering students in Pune (India) using Cyberchondria Severity Scale (CSS-15).

Settings and Design:

A cross-sectional study was conducted among third- and fourth-year computer engineering students.

Methods:

The study recruited 180 students. A self-administered, English-translated CSS-15 questionnaire was used to collect the data. The responses were based on the Likert scale. Four constructs were scored from 0 to 4 while the mistrust of medical professional construct was scored in reverse order.

Statistical Analysis:

Descriptive statistics in the form of numbers and percentages were calculated.

Results:

The survey was completed by 171 (95%) participants, 77 females and 94 males with the mean age of 19.77 ± 1.07 years. All (100%) participants were affected by excessiveness and reassurance construct, 92% by distress, and 75% by compulsion. Only 19% were found to be affected by mistrust of a medical professional. Among all the domains, reassurance was severely affected among 52.04% of the participants.

Conclusion:

All the computer engineering students were affected by some or the other constructs of cyberchondria. This indicates that the Internet can affect an individual's mental, physical, and social activity by giving a vast amount of information and cause anxiety or distress related to their search.

Increase in the prevalence of health anxiety in medical clinics: Possible cyberchondria

BACKGROUND

Health anxiety may be an increasing problem because of the focus on monitoring health and increasing use of the Internet for self-diagnosis (cyberchondria). There is very little information about changes in the prevalence of health anxiety.

AIM

We compared the prevalence of health anxiety in four medical clinics in one hospital over a 4-year period using the Health Anxiety Inventory (HAI) as a diagnostic marker.

METHOD

Patients attending cardiology, endocrine, gastroenterology and respiratory medicine clinics at King's Mill Hospital, North Nottinghamshire, completed the HAI while waiting for their appointments. There were eight research assistants involved in collecting data, two in the 2006-2008 period and six in the 2008-2010 period. As a consequence, more data were collected on the second occasion.

RESULTS

There was an increase in the prevalence of health anxiety from 14.9% in 2006-2008 (54 positive of 362 assessed) to 19.9% (1,132 positive out of 5,704 assessed) in 2008-2010. This increase was primarily noted in gastroenterology clinics (increase of 10%) and not shown in endocrine ones.

CONCLUSION

The prevalence of health anxiety is increasing in those who attend medical out-patient clinics. Reasons are given that this may be a possible result of cyberchondria, as the excessive use of the Internet to interpret troubling symptoms is growing. Further studies are needed in other populations, but there is reason to be concerned at this trend as it is likely to increase the number of medical consultations unnecessarily.

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

Cyberchondria is defined as an increase in anxiety about one's health status as a result of excessive online searches. McElroy and Shevlin (2014) developed the first multidimensional, self-report measure of this construct-the Cyberchondria Severity Scale (CSS). The CSS consists of 33 items which can be summed to form a total score, and/or 5 subscale scores. The aim of the present study was to develop a short-form version of the CSS, removing the "Mistrust" subscale. Participants were undergraduate students from two UK universities (N = 661, 73% female, M_age = 22.19 years, SD = 5.88). Students completed the CSS, Short Health Anxiety Inventory (SHAI) and Generalized Anxiety Disorder Assessment (GAD-7). Twelve items were chosen for retention in the short form based on an exploratory factor analysis. These items corresponded to the four factors previously identified in the 33-item scale (minus the "Mistrust" subscale). Confirmatory factor analysis was used to validate the structure of the CSS-12. Confirmatory bifactor modeling indicated that the majority of item covariance was accounted for by a general cyberchondria factor. Construct validity was assessed by examining associations with the SHAI and GAD-7, with stronger correlations observed between the CSS-12 and the SHAI (compared with the GAD-7). The CSS-12 is a brief, reliable, and valid measure of worry/anxiety attributable to excessive online health research.

Cyberchondria and its measurement. The Polish adaptation and psychometric properties of the Cyberchondria Severity Scale CSS-PL

OBJECTIVES

The aim of this paper is a presentation of the adaptation process of the Cyberchondria Severity Scale (SCC) to measure cyberchondria and verification of reliability and construct validities of the test in the Polish population.

METHODS

The study included 380 participants (203 women and 177 men) aged 19-68 (M = 26.5; SD = 11.1). The CSS-PL was used to measure cyberchondria, the Short Health Anxiety Inventory (SHAI) for measuring hypochondria, and the Dimensional Obsessive-Compulsive Scale (DOCS) to verify obsessive-compulsive tendencies.

RESULTS

Four-factor structure of cyberchondria measured with the CSS-PL was supported. Internal consistency indices of the CSS-PL were between 0.87 and 0.95, test-retest reliability results were 0.58-0.76. This study demonstrated construct validity of the CSS-PL via its correlations with health anxiety (r = 0.31-0.56) and obsessive-compulsive symptoms (r = 0.17-0.48).

CONCLUSIONS

The CSS-PL is an initial standardized version of an instrument for measuring cyberchondria and meets the psychometric criteria of reliability and validity for psychological testing tools. The CSS-PL may be used both in diagnostic and scientific research.

"Dr. Google" and his predecessors

BACKGROUND

Contemporary medicine has expressed concern about lay incursions into the diagnostic process buttressed by commonly available medical information on line. Even while the world wide web is a new structure, there is a long historical precedent for this concern. With the emergence of scientific medicine in the late 19th century came a strong belief in the role of diagnosis, not only to explain disease symptoms but also to differentiate the physician from a range of other unreliable practitioners. Along with this focus on diagnosis came also a concern expressed by doctors about patients' inclination to self-diagnose, or to propose candidate diagnoses for the problems that ailed them.

METHODS

This paper uses Zerubavel's social patterning method. Using material written by doctors from the late 19th until the mid-20th century, I explore comments about, and attitudes towards, self-diagnosis.

RESULTS

Three areas of concern about self-diagnosis are expressed by doctors. First, self-diagnosis produces anxiety in the patient. Second, it interferes with doctor-patient relationship. Finally self-diagnosis is commonly linked to commercial interests.

CONCLUSIONS

Contemporary concerns about self-diagnosis are part of an ongoing social pattern, which simultaneously promotes diagnosis as means for explaining disease but also protests when the diagnostic explanations originate with the patient.

Cyberchondria: Examining relations with problematic Internet use and metacognitive beliefs

Cyberchondria refers to the repeated use of the Internet to search for health-related information, which leads to negative consequences. This two-part study provides the first known examination of how cyberchondria relates to (a) problematic Internet use and (b) metacognitive beliefs. Participants were U.S. community adults who reported using the Internet to search for health-related information (Study 1: N = 337, Study 2: N = 260). In Study 1, cyberchondria shared a strong association with problematic Internet use, and that association was unaccounted for by age, gender, current reported medical status, negative affect, or health anxiety. In Study 2, cyberchondria was found to share moderate to strong associations with metacognitive beliefs. The association between cyberchondria and metacognitive beliefs about the uncontrollability of thoughts remained intact after accounting for the Study 1 covariates, as well as anxiety sensitivity and intolerance of uncertainty. Neither anxiety sensitivity nor intolerance of uncertainty shared unique associations with cyberchondria. These results provide a preliminary indication that a metacognitive conceptualization of problematic Internet use may be applicable to cyberchondria.