Anxiety sensitivity and intolerance of uncertainty as potential risk factors for cyberchondria

Exploring the Relationship Between Cyberchondria and Suicidal Ideation: Cross-Sectional Mediation Analysis

BACKGROUND

The proliferation of internet-based health information has intensified cyberchondria, or anxiety resulting from excessive health-related searches. The relationship between cyberchondria and suicidal ideation remains underexplored, although there are indications that people with high levels of cyberchondria may also be suicidal. Understanding this relationship is critical, given rising digital health-seeking behaviors and the need to mitigate suicide risk. Emerging evidence suggests that psychological distress can mediate the relationship between cyberchondria and suicidal ideation. However, to the best of our knowledge, no research has directly examined these associations.

OBJECTIVE

This study had two aims. The first was to examine the relationship between cyberchondria and suicidal ideation in a sample of the general Chinese population. The second aim was to investigate the possible role of psychological distress, reflecting the symptoms of depression and anxiety, as a mediator in the relationship between cyberchondria and suicidal ideation.

METHODS

Data were obtained from a cross-sectional and web-based survey conducted in 2024. Structural equation modeling analysis was used to assess the hypothesized association between cyberchondria and suicidal ideation, as well as the mediating effect of psychological distress on this association. The Cyberchondria Severity Scale-12 items, Suicidal Ideation Attributes Scale, and Kessler Psychological Distress Scale-10 items were used to measure cyberchondria, suicidal ideation, and psychological distress, respectively. Standardized (β) estimates, along with their 95% CIs, were calculated for all structural paths, adjusting for participants' background characteristics.

RESULTS

A total of 2415 individuals completed the questionnaire (response rate=98.5%). Scores on the Cyberchondria Severity Scale-12 items ranged from 12 to 60, with the mean score being 40 (SD 7.9). The mean score on the Suicidal Ideation Attributes Scale was 12.7 (SD 9.9). Scores on the Kessler Psychological Distress Scale-10 items ranged from 10 to 50, and the mean score was 22 (SD 6.9). Cyberchondria, suicidal ideation, and psychological distress were significantly correlated. Structural equation modeling revealed a significant association between cyberchondria and psychological distress (β=.281; P<.001), between psychological distress and suicidal ideation (β=.504; P<.001), and between cyberchondria and suicidal ideation (β=.107; P<.001). The indirect effect of cyberchondria on suicidal ideation through psychological distress was also significant (β=.142; P<.001).

CONCLUSIONS

The main contribution of this study is that it highlights an important relationship between cyberchondria and suicidal ideation, with a direct and statistically significant association between these variables. Their relationship is also mediated by psychological distress, which reflects the role of depressive and anxiety symptoms.

Factors Affecting Engagement in Screening Clinics; Exploring the Experiences of Patients with Rare Endocrine Gene Disorders

The aim was to explore the patient experience of those attending screening appointments for rare endocrine syndromes. Obtaining insights into the factors that potentially enhanced or detracted from attendance and engagement with the clinics could assist in developing strategies to promote patient engagement. A qualitative approach using semi-structured interviews was employed to understand individuals' perceptions and experience of the screening clinics. Twelve interviews were conducted with patients (age 10-66 years, purposive sampling). Four main themes were identified: (1) Perception at a distance, (2) Seeing my future self (3) The body and person in clinic and (4) The patient or doctor, who knows best? These highlighted several areas which could be used to inform approaches to promote enhanced patient engagement: the importance of careful management of projections of self, balancing information overload and honesty, interpersonal relationships and humanisation of care and assisting with the early navigation for the non-expert individual.

Online Health Information Seeking and Cyberchondria Among Men at Risk of HIV Infection: A Moderated Mediation Model

Objectives

This study investigates the relationship between HIV/AIDS-related online health information seeking (OHIS) and cyberchondria among Chinese men who have engaged in high-risk sexual behaviors. It proposes a moderated mediation model to explore the role of query escalation as a mediator and intolerance of uncertainty (IU) as a moderator in this relationship.

Method

A survey was conducted with 227 men from an online community focused on HIV/AIDS-related fear in China. Participants reported their frequency of OHIS, levels of query escalation and IU, and experiences of cyberchondria. The study employed the PROCESS macro to examine the proposed moderated mediation model.

Results

The findings indicated that frequent OHIS significantly predicts cyberchondria, with query escalation mediating this relationship. Additionally, IU moderates the mediation pathway, weakening the effect of query escalation on cyberchondria when IU is high. This suggests that individuals with high IU are less likely to experience escalating health inquiries and, consequently, cyberchondria.

Conclusions

The study highlights the complex interaction between OHIS, query escalation, and IU in predicting cyberchondria among high-risk groups. These insights are crucial for designing effective interventions to mitigate cyberchondria by addressing the escalation of health information seeking and managing uncertainty intolerance in this population.

Mechanistic studies in pathological health anxiety: A systematic review and emerging conceptual framework

BACKGROUND

Pathological health anxiety (PHA) (e.g., hypochondriasis and illness anxiety disorder) is common in medical settings and associated with increased healthcare costs. However, the psychological and neurobiological mechanisms contributing to the development and maintenance of PHA are incompletely understood.

METHODS

We performed a systematic review to characterize the mechanistic understanding of PHA. PubMed, PsycINFO, and Embase databases were searched to find articles published between 1/1/1990 and 12/31/2022 employing a behavioral task and/or physiological measures in individuals with hypochondriasis, illness anxiety disorder, and PHA more broadly.

RESULTS

Out of 9141 records identified, fifty-seven met inclusion criteria. Article quality varied substantially across studies, and was overall inadequate. Cognitive, behavioral, and affective findings implicated in PHA included health-related attentional and memory recall biases, a narrow health concept, threat confirming thought patterns, use of safety-seeking behaviors, and biased explicit and implicit affective processing of health-related information among other observations. There is initial evidence supporting a potential overestimation of interoceptive stimuli in those with PHA. Neuroendocrine, electrophysiology, and brain imaging research in PHA are particularly in their early stages.

LIMITATIONS

Included articles evaluated PHA categorically, suggesting that sub-threshold and dimensional health anxiety considerations are not contextualized.

CONCLUSIONS

Within an integrated cognitive-behavioral-affective and predictive processing formulation, we theorize that sub-optimal illness and health concepts, altered interoceptive modeling, biased illness-based predictions and attention, and aberrant prediction error learning are mechanisms relevant to PHA requiring more research. Comprehensively investigating the pathophysiology of PHA offers the potential to identify adjunctive diagnostic biomarkers and catalyze new biologically-informed treatments.

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.

Exploring how health-related advertising interference contributes to the development of cyberchondria: A stressor-strain-outcome approach

Objectives

Cyberchondria is increasingly recognized as the dark side of digital health, given the pervasive use of the internet as a main source of health information in people's daily lives. While previous studies have identified many factors contributing to cyberchondria, there is a dearth of research on the impact of health-related advertisements. Therefore, this study adopts the stressor-strain-outcome (SSO) model to investigate how health-related advertising interference is directly and indirectly related to cyberchondria.

Methods

To empirically validate the proposed research model, we conducted an online survey with 437 internet users with medical information seeking experience in China. Structural equation modeling (SEM) was employed to analyze the survey data.

Results

Our findings revealed a positive, direct association between health-related advertising interference and cyberchondria. Meanwhile, advertising interference was positively related to both information overload and information irrelevance, with the former further predicting cyberchondria. Moreover, doctor-patient communication weakened the positive effect of information overload on cyberchondria.

Conclusions

The study not only theoretically contributes to the literature by theorizing the relationship between health-related advertising interference and cyberchondria but also practically underlines the pivotal role of effective doctor-patient communication in reducing the development of cyberchondria.

Research and Evaluation of a Cyberchondria Severity Scale in a Chinese Context

Purpose

Cyberchondria is a problematic or unhelpful behavior pattern that describes excessive or repetitive online health-related information searching related to an enhanced level of health anxiety. Such internet-derived medical anxiety can manifest itself in different ways across cultures. This study explores the unique nature of cyberchondria in the context of Chinese culture, identifying the risk factors for the condition and the possible negative outcomes.

Methods

An exploratory factor analysis (EFA) was used to explore whether the structure of the Chinese version of the Cyberchondria Severity Scale (C-CSS) is different from that in western context. Subsequently, a confirmatory factor analysis (CFA) was used to verify the model fit of the C-CSS. Finally, a series of regression analysis were used to test the relationship between cyberchondria and its antecedent variables and consequence variables in Chinese context.

Results

Retained 18 items and revised to 3 dimensions (Negative Effects, Excessiveness and Reassurance Seeking), the Chinese version of the Cyberchondria Severity Scale (C-CSS) was developed. In the context of China, the three antecedents were also effective predictors of cyberchondria, and C-CSS is also related to theoretically relevant outcomes.

Conclusion

This study initially demonstrated the validity, reliability and applicability of C-CSS to assess the severity of cyberchondria among Chinese undergraduates.

COVID-19 era-related e-learning: a cross-sectional web-scale study of cyberchondria, internet addiction and anxiety-related symptomatology among university nursing students

OBJECTIVE

The study assessed COVID-19 era-related e-learning cyberchondria, internet addiction and anxiety-related symptomatology among nursing students. The relationships, predictors and differences between the studied concepts were measured.

DESIGN

In 2021, a quantitative cross-sectional research design using a web survey with a sample size of 333 nursing students yielded a response rate of 70%.

RESULTS

Nursing students had a moderate level of cyberchondria, low to moderate internet addiction, a moderate to severe level of anxiety and depression, and a normal stress level. Demographic characteristics, cyberchondria, internet addiction and anxiety-related symptomatology were significantly correlated. Grade point average, age, type of organisation where the students were trained and level of education were significant predictors of the studied variables. Significant differences in the studied concepts were found based on the sample's characteristics such as gender, type of organisations or universities where the students were trained or studied, and age.

CONCLUSION

Cyberchondria, internet addiction, depression, anxiety and stress symptomatology are troublesome. Higher education organisations might benefit from examining the variables of interest and investigating the relations between internet addiction and depression and anxiety symptomatology among nursing students. Such research will aid in tailoring treatments to assist vulnerable students by targeting counselling and educational efforts toward building a future generation of nurses with reduced cyberchondria, internet addiction and anxiety-related symptomatology.

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.

Sensory sensitivity, intolerance of uncertainty and sex differences predicting anxiety in emerging adults

As multiple vulnerability factors have been defined for anxiety disorders, it is important to investigate the interactions among these factors to understand why and how some individuals develop anxiety. Sensory Sensitivity (SS) and Intolerance of Uncertainty (IU) are independent vulnerability factors of anxiety, but their unique relationship in predicting anxiety has rarely been studied in non-clinical populations. The objective of this investigation was to examine the combined effects of SS and IU on self-reported anxiety in a sample of university students. In addition, with the frequently reported sex bias in anxiety literature, we expected that the combined effects of vulnerability factors would be different for females and males. A convenience sample of 313 university students, ages 17-26 years was recruited. The participants completed the Intolerance of Uncertainty Scale (IUS-12), the Adult/Adolescent Sensory Profile (AASP), and the Beck Anxiety Inventory (BAI). Results of moderated mediation analyses demonstrated a strong partial mediation between SS and anxiety through IU, providing evidence that IU, a cognitive bias against the unknown, was one mechanism that explained how SS was related to anxiety. Further, the effect of IU on anxiety was approximately twice as strong in females. Our results highlight the importance of studying the unique relationships among multiple vulnerability factors to better understand anxiety susceptibility in emerging adults.

Intolerance of uncertainty, anxiety sensitivity, and health anxiety during the COVID-19 pandemic: Exploring temporal relationships using cross-lag analysis

Intolerance of uncertainty (IU) and anxiety sensitivity (AS) have been widely discussed and explored as factors that may contribute to health anxiety. We propose that IU and AS are salient issues for many during the COVID-19 pandemic, and may play a role in the development or exacerbation of health anxiety during the pandemic. Studies have examined links between IU and AS with health anxiety during the pandemic, but these relationships have not been tested together using a longitudinal study design. In the present study, measures of IU, AS, and health anxiety were collected from 301 adults at two time points 6 months apart during (early stages of) the COVID-19 pandemic using an online survey platform. Cross-lagged analysis was utilized to simultaneously estimate cross-sectional and longitudinal associations between these three variables. Robust cross-sectional associations were observed, and IU prospectively predicted changes in both health anxiety and AS. No other statistically significant prospective associations emerged. Present findings support the putative role of IU in health anxiety, suggesting that some observed links between AS and health anxiety could be driven by shared variance with IU. IU may be an important factor to monitor and target in health anxiety interventions during the pandemic.

The 14-item short health anxiety inventory (SHAI-14) used as a screening tool: appropriate interpretation and diagnostic accuracy of the Swedish version

BACKGROUND

The 14-item Short Health Anxiety Inventory (SHAI-14) is a common measure of health anxiety but its screening properties have not been studied. The aims of this study were to evaluate the SHAI-14 as a screening instrument, identify cut-offs for clinically significant health anxiety and investigate which scores correspond to different severity levels.

METHOD

The study included 1729 psychiatric patients and 85 healthy controls. Participants completed the SHAI-14 and underwent a diagnostic interview. Cut-off scores were evaluated in three scenarios to approximate screening 1) in a psychiatric clinic, 2) in a low prevalence setting and, 3) of healthy volunteers (cut-off for remission). Receiver operating characteristics were used. Classification of severity was based on the distribution of SHAI-14 scores reported by patients with clinically significant health anxiety.

RESULTS

The area under the curve (AUC) values were high in all scenarios (above 0.95). The optimal cut-off scores on the SHAI-14 were 22 in the psychiatric context, 29 in a setting with low prevalence of psychiatric disorders and 18 versus healthy controls. SHAI-14 scores of 0-27 represented no or mild health anxiety, 28-32 moderate health anxiety and 33-42 substantial health anxiety.

CONCLUSION

Brief self-report measures used as screening instruments are a simple way of gathering information about the presence of specific symptoms and thus a way to detect the likelihood of a diagnosis. The SHAI-14 shows evidence of good diagnostic utility in both clinical and non-clinical settings. However, which cut-off score is to be used, depends on the intended purpose and the setting where the cut-off is used.

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.

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.

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.

Online Health Information Seeking for Self and Child: An Experimental Study of Parental Symptom Search

BACKGROUND

Parents often search the web for health-related information for themselves or on behalf of their children, which may impact their health-related decision-making and behaviors. In particular, searching for somatic symptoms such as headaches, fever, or fatigue is common. However, little is known about how psychological and relational factors relate to the characteristics of successful symptom-related internet searches. To date, few studies have used experimental designs that connect participant subjective search evaluation with objective search behavior metrics.

OBJECTIVE

This study aimed to examine the features of web-based health-related search behaviors based on video-coded observational data, to investigate which psychological and relational factors are related to successful symptom search appraisal, and to examine the differences in search-related outcomes among self-seekers and by-proxy seekers.

METHODS

In a laboratory setting, parents living in Austria (N=46) with a child aged between 0 and 6 years were randomized to search their own (n=23, 50%) or their child's (n=23, 50%) most recent somatic symptom on the web. Web-based activity was recorded and transcribed. Health anxiety, eHealth literacy, attitude toward web-based health information, relational variables, state of stress, participants' search appraisals, and quantitative properties of the search session were assessed. Differences in search appraisals and search characteristics among parents who searched for themselves or their children were examined.

RESULTS

Across both groups, searches were carried out for 17 different symptom clusters. Almost all parents started with Google (44/46, 96%), and a majority used initial elaborated key phrases with >1 search keyword (38/45, 84%) and performed on average 2.95 (SD 1.83) search queries per session. Search success was negatively associated with health anxiety (r_s=-0.39, P=.01), stress after the search (r_s=-0.33, P=.02), and the number of search queries (r_s=-0.29, P=.04) but was not significantly associated with eHealth literacy (r_s=0.22, P=.13). Of note, eHealth literacy was strongly and positively correlated with satisfaction during the search (r_s=0.50, P<.001) but did not significantly correlate with search characteristics as measured by search duration (r_s=0.08, P=.56), number of performed search queries (r_s=0.20, P=.17), or total clicks (r_s=0.14, P=.32). No differences were found between parents searching for their own symptoms and parents searching for their child's symptoms.

CONCLUSIONS

This study provides exploratory findings regarding relevant dimensions of appraisals for symptom-based information seeking on the web. Consistent with previous literature, health anxiety was found to be associated with poorer search evaluation. Contrary to expectations, eHealth literacy was related neither to search success nor to search characteristics. Interestingly, we did not find significant differences between self-seekers and by-proxy seekers, suggesting similar search and evaluation patterns in our sample. Further research with larger samples is needed to identify and evaluate guidelines for enhanced web-based health information seeking among parents and the general public.

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.

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.

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.

A Cognitive Behavior Therapy Chatbot (Otis) for Health Anxiety Management: A Mixed-Methods Pilot Study (Preprint)

Background

An increase in health anxiety was observed during the COVID-19 pandemic. However, due to physical distancing restrictions and a strained mental health system, people were unable to access support to manage health anxiety. Chatbots are emerging as an interactive means to deliver psychological interventions in a scalable manner and provide an opportunity for novel therapy delivery to large groups of people including those who might struggle to access traditional therapies.

Objective

The aim of this mixed methods pilot study was to investigate the feasibility, acceptability, engagement, and effectiveness of a cognitive behavioral therapy (CBT)–based chatbot (Otis) as an early health anxiety management intervention for adults in New Zealand during the COVID-19 pandemic.

Methods

Users were asked to complete a 14-day program run by Otis, a primarily decision tree–based chatbot on Facebook Messenger. Health anxiety, general anxiety, intolerance of uncertainty, personal well-being, and quality of life were measured pre-intervention, postintervention, and at a 12-week follow-up. Paired samples t tests and 1-way ANOVAs were conducted to investigate the associated changes in the outcomes over time. Semistructured interviews and written responses in the self-report questionnaires and Facebook Messenger were thematically analyzed.

Results

The trial was completed by 29 participants who provided outcome measures at both postintervention and follow-up. Although an average decrease in health anxiety did not reach significance at postintervention (P=.55) or follow-up (P=.08), qualitative analysis demonstrated that participants perceived benefiting from the intervention. Significant improvement in general anxiety, personal well-being, and quality of life was associated with the use of Otis at postintervention and follow-up. Anthropomorphism, Otis’ appearance, and delivery of content facilitated the use of Otis. Technical difficulties and high performance and effort expectancy were, in contrast, barriers to acceptance and engagement of Otis.

Conclusions

Otis may be a feasible, acceptable, and engaging means of delivering CBT to improve anxiety management, quality of life, and personal well-being but might not significantly reduce health anxiety.

Dark side consequences of cyberchondria: an empirical investigation

Purpose

Cyberchondria refers to the repeated and excessive search for health-related information online, associated with increased health anxiety. This paper utilizes the protection motivation theory to investigate the negative behavioral consequences of cyberchondria that pose health risks to users, such as trust in the physician, propensity to self-medicate, and therapy compliance.

Design/methodology/approach

The data for the study were collected from a sample of 317 participants in India using an online survey and form. The analysis was conducted using structural equation modeling.

Findings

Cyberchondria negatively affects the trust in physician and positively affects the propensity to self-medicate. Trust in physician negatively affects the propensity to self-medicate and positively affects therapy compliance. Furthermore, trust in physician partially mediates the relationship between cyberchondria and the propensity to self-medicate and completely mediates the relationship between cyberchondria and therapy compliance. Cyberchondria has no direct significant effect on therapy compliance.

Research limitations/implications

Researchers need to examine other behavioral or psychological factors affected by the reduced trust in physicians due to cyberchondria.

Practical implications

Physicians and health care providers should refocus on patients with cyberchondria and regain their trust through quality interactions and services. Policymakers may consider regulating online health information publication to set the standards of information quality and source. Websites and platforms publishing health information online should distinctly label verified information.

Originality/value

This study investigates the damaging effects of cyberchondria's behavioral consequences that pose health risks to users.

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.

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.

The impact of pandemic-related worry on cognitive functioning and risk-taking

Here, we sought to quantify the effects of experienced fear and worry, engendered by the COVID-19 pandemic, on both cognitive abilities-speed of information processing, task-set shifting, and proactive control-as well as economic risk-taking. Leveraging a repeated-measures cross-sectional design, we examined the performance of 1517 participants, collected during the early phase of the pandemic in the US (April-June 2020), finding that self-reported pandemic-related worry predicted deficits in information processing speed and maintenance of goal-related contextual information. In a classic economic risk-taking task, we observed that worried individuals' choices were more sensitive to the described outcome probabilities of risky actions. Overall, these results elucidate the cognitive consequences of a large-scale, unpredictable, and uncontrollable stressor, which may in turn play an important role in individuals' understanding of, and adherence to safety directives both in the current crisis and future public health emergencies.

Unveiling the relationships between cyberchondria and psychopathological symptoms

Cyberchondria is a clinical entity of excessive and repetitive online health-related searches, associated with health anxiety, obsessive-compulsive symptoms and intolerance of uncertainty. Its relationships with depressive and somatic symptoms have not yet received much attention. The purpose of this study was to examine the individual and comparative effects of several psychopathology constructs on the severity of cyberchondria. Through an online platform, participants (N = 749) completed specific self-report measures assessing the severity of cyberchondria, anxiety, intolerance of uncertainty, depressive, somatic, and obsessive-compulsive symptoms. Standard and hierarchical multiple regression analyses were used to assess how well the independent variables influenced the levels of cyberchondria, before and after controlling for age, education, and sex. When measures of all constructs were included in the analysis, all were significant predictors of cyberchondria levels, except for anxiety. Health anxiety made the strongest contribution. When age, education and sex were controlled for, all measures except for anxiety were also significant predictors of cyberchondria severity. Our study confirms that health anxiety, obsessive-compulsive symptoms and intolerance of uncertainty are all associated with cyberchondria severity, with health anxiety making the strongest unique contribution. Depression and somatic symptoms also predicted cyberchondria severity. These findings have important implications for research and clinical practice.

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.

Managing Problematic Usage of the Internet and Related Disorders in an Era of Diagnostic Transition: An Updated Review

INTRODUCTION

Problematic Usage of the Internet (PUI) refers to a broad and likely heterogeneous group of Internet-related conditions associated with behavioural disturbances and functional impairment.

METHODS

Within PUI several conditions have been reported, including Gaming Disorder, Shopping Addiction, Cyberchondria, Gambling Disorder, Cyberpornography Addiction and Cyberbullying. While increasing reports in the field try to define the epidemiologic and clinical boundaries of these conditions, the rapid and continuous evolution of Internet related behaviours as well as their problematic/pathological expressions are often difficult to diagnose, assess, approach with treatment interventions and follow-up.

RESULTS

In addition, some of the PUI-related conditions show characteristics of addiction to the Internet as a preferential tool to engage in specific behaviours, while some others exclusively manifest on the Internet, making it necessary to find distinct assessment and treatment pathways.

CONCLUSION

The inclusion of Internet Gaming Disorder in Section III by the DSM-5 and the recognition of Gaming Disorder by the ICD-11 opened the way for a systematic clinical investigation of this and other PUI-related conditions, particularly in terms of preventive and therapeutic strategies. The present article is aimed at offering an updated clinical overview on the main expressions of PUI, focussing on the latest acquisitions in this evolving field.

Anxiety Sensitivity Mediates Relations Between Mental Distress Symptoms and Medical Care Utilization During COVID-19 Pandemic

Anxiety and uncertainty are common during pandemics. The present study extended previous pandemic research by investigating the role of two transdiagnostic risk factors — anxiety sensitivity (AS: fear of physiological anxiety or “fear of fear”; Reiss & McNally, 1985) and intolerance of uncertainty (IU; Buhr & Dugas, 2009) — in explaining relations between mental distress symptoms and behavioural responding during the COVID-19 pandemic. Student and community-based participants (N=457; 87.6% female) were recruited between May and July 2020 to complete measures of anxiety (health, panic, general), depression, and stress. Anxiety and related symptoms were found to be higher than in previous studies. Parallel mediation analyses showed that clinically meaningful levels of mental distress symptoms directly influenced safety behaviours and medical care utilization but also indirectly influenced the latter (vs. former) through AS-physical concerns (vs. IU). CBT interventions, targeting AS-physical concerns, may reduce mental distress symptoms during pandemic and prevent overuse of healthcare.

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.

Factors associated with initiation of community-based therapy for emerging adults with mood and anxiety disorders

AIM

The First Episode Mood and Anxiety Program (FEMAP) is a community-based early intervention program that has been shown to improve health outcomes for emerging adults (EAs) with mood and anxiety disorders. However, not all EAs who are admitted to the program initiate treatment. Our aim was to identify factors that distinguish those who initiated treatment from those who did not.

METHODS

FEMAP administered questionnaires to EAs upon first contact with the program, collecting information on a range of socioeconomic, patient and condition-related factors. We compared EAs who initiated treatment in the program (n = 318, 87.4%) to those who did not (n = 46, 12.6%). To examine factors associated with treatment initiation, we specified a parsimonious logistic regression model, using the method of purposeful selection to choose from a range of candidate variables.

RESULTS

Anxiety Sensitivity Index - Revised (ASI-R), binge drinking and cannabis use were included in the final logistic regression model. Each one-point increment in the ASI-R score was associated with a 1% increase in the odds of treatment initiation (OR = 1.014; 95% CI [1.003, 1.026]). No other variable was significantly associated with treatment initiation.

CONCLUSIONS

Our study provides insight on the differences between EAs with mood and anxiety disorders who initiated targeted treatment services and those who did not. Anxiety sensitivity was significantly associated with treatment initiation at FEMAP. Our findings suggest that it may be anxiety sensitivity, rather than depression or functional impairment per se that drive treatment initiation among EAs.

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.

The pathways from distress tolerance to Cyberchondria: A multiple-group path model of young and middle adulthood samples

The use of the Internet for medical information elicited a recent term called “cyberchondria”. This study aimed to scrutinize the mediating effects of health anxiety (HA), anxiety symptoms (AS), and Internet addiction (IA) in the pathway from distress tolerance (DT) to cyberchondria by using a bootstrapping method. In order to examine the role of age in the proposed model, multiple-group path analysis was used to evaluate differences between young and middle adulthood groups. The final sample consisted of both young adult (n = 209) and middle adult (n = 221) Internet users located in Ankara, Turkey. The results of path analyses for both age groups showed that DT is negatively associated with AS and HA; AS and HA are positively associated with IA; IA and HA are positively associated with cyberchondria. Mediation analysis for both age groups demonstrated that AS and HA significantly mediated the relationship between DT and IA; IA significantly mediated the relationships of AS and HA with cyberchondria; HA significantly mediated the relationship between DT and cyberchondria. The results of the multiple-group path analysis showed that the relationship between IA and cyberchondria is significantly stronger in middle adulthood than young adulthood. The results of the current study are consistent with the relevant literature and provide crucial contribution especially by focusing on the role of age.

Online Health Information Seeking by Parents for Their Children: Systematic Review and Agenda for Further Research

Background

Parents commonly use the internet to search for information about their child’s health-related symptoms and guide parental health-related decisions. Despite the impact of parental online health seeking on offline health behaviors, this area of research remains understudied. Previous literature has not adequately distinguished searched behaviors when searching for oneself or one`s child.

Objective

The purpose of this review is to examine prevalences and associated variables of parent-child online health information seeking; investigate parents’ health-related online behavior regarding how they find, use, and evaluate information; and identify barriers and concerns that they experience during the search. Based on this analysis, we develop a conceptual model of potentially important variables of proxy online health information seeking, with a focus on building an agenda for further research.

Methods

We conducted a comprehensive systematic literature review of the PsycINFO, JMIR, and PubMed electronic databases. Studies between January 1994 and June 2018 were considered. The conceptual model was developed using an inductive mixed methods approach based on the investigated variables in the study sample.

Results

A total of 33 studies met the inclusion criteria. Findings suggest that parents worldwide are heavy online users of health-related information for their children across highly diverse circumstances. A total of 6 studies found high parental health anxiety, with prevalences ranging from 14% to 52%. Although parents reported wishing for more guidance from their pediatrician on how to find reliable information, they rarely discussed retrieved information from the web. The conceptual model of proxy online health information seeking includes 49 variables.

Conclusions

This systematic review identifies important gaps regarding the influence of health-related information on parents’ health behavior and outcomes. Follow-up studies are required to offer parents guidance on how to use the web for health purposes in an effective way, as well as solutions to the multifaceted problems during or after online health information seeking for their child. The conceptual model with the number of studies in each model category listed highlights how previous studies have hardly considered relational variables between the parent and child. An agenda for future research is presented.

General practitioners' challenges and strategies in dealing with Internet-related health anxieties-results of a qualitative study among primary care physicians in Germany

Time and again, it is discussed that in medical practices, the number of patients who develop health anxieties due to extensive health information searches on the Internet is increasing. The objective of this study is to explore and describe general practitioners’ experiences and attitudes towards cyberchondria patients as well as strategies to stabilize affected patients. Following a qualitative approach, oral personal semi-standardized interviews with general practitioners (N = 38) in Rhineland-Palatinate, Germany, were conducted in 2019. In the course of a content analysis, one can see that most interviewees see the emergence of Internet-related health anxieties as an increasing problem in everyday care. Affected patients not only show marked levels of doubt and nervousness as well as hypersensitivity to their own state of health, but also low confidence in the physician. In addition to compliance-related difficulties, the high need for advice and the demand for further diagnostics are regarded as major problems. Various approaches were identified by which general practitioners respond to unsettled patients (more consultation time, recommendation of reputable websites, information double-checking, expanded history questionnaire, additional psychosocial training).

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.

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

Background

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

Objectives

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

Methods

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

Results

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

Conclusions

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

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.

Is cyberchondria a new transdiagnostic digital compulsive syndrome? A systematic review of the evidence

BACKGROUND

Cyberchondria (CYB) has been described relatively recently as a behaviour characterized by excessive online searching for medical information that is associated with increasing levels of health anxiety. Although CYB has received some attention from researchers, there is no consensus about many of its aspects.

AIMS

We describe one of the first reported cases of a treatment-seeking patient with CYB. We review the published literature on the definition of CYB, its assessment, epidemiology, cost and burden, psychological models and mechanisms associated with CYB, relationships between CYB and mental disorders and prevention and treatment strategies.

METHODS

Systematic review of all peer-reviewed papers published within the PubMed, PsycINFO, and Cochrane Library databases.

RESULTS

61 articles were selected. Nearly all the studies were descriptive and cross-sectional recruiting sample mainly from the general/university student population and collecting self-report data via online surveys. Data on epidemiology, clinical features, course, comorbidity and therapeutic interventions were scarce. CYB showed a self-reported association with health anxiety, hypochondriasis and obsessive-compulsive disorder (OCD) as well as other forms of problematic usage of the internet (PUI) The psychological mechanisms associated with CYB include low self-esteem, anxiety sensitivity, intolerance of uncertainty, pain catastrophizing and certain meta-cognitive beliefs.

CONCLUSION

A working definition of CYB includes excessive online health searches that are compulsive and may serve the purpose of seeking reassurance, whilst leading to a worsening of anxiety or distress and further negative consequences. CYB represents a clinically relevant transdiagnostic compulsive behavioural syndrome, closely related to PUI and usually presenting in association with health anxiety, hypochondriasis and/or OCD. CYB is clearly in need of further study and we identify key areas for future research.

Cyberchondriasis

Abstract. Studies show a rising trend that individuals who worry about their health regularly search the internet. Recently, potentially negative effects of doing so have been highlighted. Illness anxiety and negative affectivity may influence these effects. We tested if searching the internet about a personal symptom leads to increased health concerns and if these traits have an impact. Data from 79 students were collected. Participants were asked to name and evaluate a symptom of personal concern and to research that symptom using the Internet for 5 min. Searching the internet resulted in a significant increase in health concerns and this was significantly moderated by negative affectivity but not by illness anxiety. A replication of these findings, possibly with an older sample scoring higher on illness anxiety will help to better understand the relations described above, and to point consumers and health professionals into the right direction regarding media usage.

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.