The impact of internet-delivered cognitive behavioural therapy for health anxiety on cyberchondria

Illness Anxiety Disorder: A Review of the Current Research and Future Directions

PURPOSE OF REVIEW

We review recent evidence on Illness Anxiety Disorder (IAD), including risk factors and precipitants, diagnostic classification, clinical characteristics of the disorder, and assessment and treatment in both children and adults.

RECENT FINDINGS

IAD places a substantial burden on both individuals and society. Despite its impact, understanding of the disorder is lacking and debates remain about whether IAD should be classified as an anxiety disorder and whether it is distinct from Somatic Symptom Disorder. Cognitive behavioural therapy (CBT) is an effective treatment for IAD and there are multiple validated measures of health anxiety available. However, research on health anxiety in children and youth is limited. IAD is chronic, and debilitating, but when identified, it can be effectively treated with CBT. Research using DSM-5 IAD criteria is lacking, and more research is needed to better understand the disorder, particularly in children and youth.

Depression and Anxiety Symptoms and Their Associated Factors Among Chinese Residents After the Lifting of the Dynamic Zero-COVID Policy: A Cross-Sectional Study

Purpose

China lifted its strict zero-Covid approach on December 7, 2022. This study aimed to investigate depression and anxiety symptoms and their associations among Chinese residents after the change in public policy.

Methods

A cross-sectional sample of 925 Chinese residents (726 females and 199 males) was recruited using convenience and snowball sampling approach between 16 and 25 December 2022. Participants completed online questionnaires on basic information, depression, anxiety, COVID-19 related perceptions, and protective behaviors change.

Results

Mild and moderate-to-severe depression symptoms were reported by 35.6% and 19.1% of participants, respectively. Nearly 40% of participants reported mild anxiety and 18.7% reported moderate-to-severe anxiety. Results from multinomial logistic regression analysis indicated that male gender, younger age, the presence of chronic disease, poorer self-rated mental health status, perceived impact, and worry were risk factors for both depression and anxiety, while higher education and protective behaviors change were protective factors. Besides, living with or caring for children (4-6 years), family members or other housemates currently with influenza-like symptoms, and perceived severity were also risk factors for depression.

Conclusion

Our findings provided initial evidence that Chinese residents may face heightened depression and anxiety during the early stage after the policy was released. Furthermore, we identified some vulnerable populations in need of prioritizing mental health assistance and some potentially modifiable factors associated with depression and anxiety, which provides an important guide for developing timely and effective psychological interventions and preparing for future pandemics.

Is There a Relationship Between Online Health Information Seeking and Health Anxiety? A Systematic Review and Meta-Analysis

The internet has revolutionized how we live, providing unprecedented convenience and up-to-date information. Consequently, an increasing number of individuals are turning to the internet for health-related information, despite research suggesting a correlation between this behavior and health anxiety. Therefore, drawing on cognitive - behavioral theory, we explore the link between online health information seeking and health anxiety via a systematic review and meta-analysis of cross-sectional studies. Following the Preferred Reporting Items for Systematic Reviews and Meta-analysis, we ran searches in multiple databases, including PubMed, Web of Science, Embase, Elsevier/Science Direct, Cochrane Database, China National Knowledge Infrastructure, VIP Chinese Database, and Wanfang Data. Our searches identified 16 studies eligible for review, involving 4,920 participants across seven countries. The random-effects meta-analysis revealed a significant positive correlation between online health information seeking and health anxiety (r = 0.28, 95% confidence interval [0.16, 0.41], p < .0001), despite considerable heterogeneity. Furthermore, meta-regression analysis demonstrated that the identity characteristics of the sample, female percentage, sample size, and country all contributed to the heterogeneity across studies. Overall, this meta-analysis provides support for the association between online health information seeking and health anxiety, and helps to elucidate the cognitive - behavioral theory underpinning this phenomenon.

Effects of digital psychotherapy for depression and anxiety: A systematic review and bayesian network meta-analysis

OBJECTIVE

To evaluate the effectiveness of digital psychotherapies for depression and anxiety. We conducted a systematic review and network meta-analyses (NMA) to make comparisons of digital psychotherapies.

METHODS

A bayesian NMA was conducted in this study. The databases including PubMed, Embase, Web of Science, the Cochrane Central Register of Controlled Trials and CINAL were searched for all eligible randomized controlled trials (RCTs) published from Jan 1, 2012 to Oct 1, 2022. We used the Cochrane Collaboration's Risk of bias tool for quality assessment. The primary outcomes were set as a standardized mean difference model in efficacy to describe continuous outcomes. We used STATA and WinBUGS to conduct a bayesian network meta-analysis of all interventions based on a random-effects model. This study was registered with PROSPERO, number CRD42022374558.

RESULTS

From the retrieved 16,750 publications, we included 72 RCTs (13,096 participants) with the overall medium quality and above. In terms of depression scale, cognitive behavioral therapy (CBT) was more effective than TAU (SMDs 0.53) and NT (SMDs 0.98). In terms of anxiety scale, CBT (SMDs 0.68; SMDs 0.72) and exercise therapy (ERT) (SMDs 1.01; SMDs 1.05) were more effective than TAU and NT.

LIMITATIONS

Uneven quality of literature, simple network, and subjective judgment.

CONCLUSION

Based on NMA results, we suggest that CBT, which is the most commonly used digital technology, should be preferred among digital psychotherapy for relieving depression and anxiety symptoms. Digital exercise therapy is an effective strategy to relieve some anxiety problems in the context of COVID-19.

Cyberchondria: a Growing Concern During the COVID-19 Pandemic and a Possible Addictive Disorder?

Purpose of Review

The main purpose of this narrative review is to provide a brief overview of the current empirical evidence regarding the conceptualization, assessment, and treatment of cyberchondria, with a focus on the potential classification of cyberchondria as a behavioral addiction. Although cyberchondria has been widely associated with anxiety, it has also been suggested that it may be linked to obsessive-compulsive features. A less explored proposal is the categorization of cyberchondria as a behavioral addiction. The present review explores the existing literature with respect to the possible classification of cyberchondria as a behavioral addiction by considering cyberchondria with respect to components of the interaction of person, affect, cognition and execution model.

Recent Findings

There is a lack of consensus regarding the definition and conceptualization of cyberchondria. The empirical evidence available to date suggests that cyberchondria is a multifactorial construct that operates transdiagnostically, particularly with respect to obsessive-compulsive-related disorders and health-related anxiety. The extent to which the condition may reflect a behavioral addiction as a form of problematic use of the internet also warrants consideration. Cyberchondria may have become more prevalent during the COVID-19 pandemic, with particular populations prone to health-related anxiety likely having greater vulnerability. Existing data in part support the potential classification of cyberchondria as a behavioral addiction, although many gaps in understanding currently exist.

Summary

Cyberchondria appears to be a growing concern. However, there is not yet enough empirical evidence to determine whether this clinical condition has enough similarities with behavioral addictions to be considered as one. Likewise, psychometric instruments that exist to date have not been designed from the theoretical framework of behavioral addictions, so most of the factors that they evaluate may be preferentially related to anxiety. Finally, there is still no consensus on whether cyberchondria should be addressed in the context of health anxiety interventions, OCRD, or behavioral addictions; thus, more empirical evidence is needed.

Cognitive behavior therapy for diabetes distress, depression, health anxiety, quality of life and treatment adherence among patients with type-II diabetes mellitus: a randomized control trial

OBJECTIVE

Diabetes distress typically causes depressive symptoms; common comorbidity of diabetes unpleasantly affects patients' medical and psychological functions. Psychotherapeutic interventions are effective treatments to treat depressive symptoms and to improve the quality of life in many chronic diseases including diabetes. The present study investigated the efficacy of cognitive behavior therapy (CBT) to treat depressive symptoms in patients with type 2 diabetes mellitus (T2DM) using experimental and waitlist control conditions.

MATERIALS AND METHODS

A total of 130 diagnosed patients with T2DM were taken from outdoor patients services of different hospitals in Faisalabad. Ninety patients met the eligibility criteria and were randomly assigned to experimental (n = 45) and waitlist control (n = 45) conditions. All the patients completed clinical interviews and assessment measures at pre-and post-assessment stages (16 weeks intervals). Medical consultants at the respective hospitals diagnosed the patients on the base of their medical reports and then referred those patients to us. Then we used different scales to assess primary and secondary outcomes: Diabetes Distress Scale (DDS) and Patient Health Questionnaire (PHQ) to assess primary outcomes, and a Short Health Anxiety Inventory (SHAI), a Revised Version of the Diabetes Quality of Life Questionnaire (DQLQ), and a General Medication Adherence Scale (GMAS) were used to investigate secondary outcomes. Repeated measure ANOVA was used to analyze the results.

RESULTS

The findings indicated that patients who received CBT got a significant reduction in their diabetes distress F(1,60) = 222.710, P < 0.001, η² = .788), depressive symptoms F(1,60) = 94.436, P < 0.001, η² = .611), health anxiety F(1,60) = 201.915, P < .0.001, η² = 771), and a significant improvement in their quality of life F(1,60) = 83.352, P < 0.001, η² = .581), treatment adherence F(1,60) = 67.579, P < 0.001, η² = .566) and physical activity schedule F(1,60) = 164.245, P < .0.001, η² = .736 as compared to the patients in waitlist control condition.

CONCLUSION

It is concluded that cognitive behavior therapy is an effective and promising intervention for depressive symptoms, diabetes distress, and health anxiety which also helps the person to promote quality of life, treatment adherence and physical activity.

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

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

Obsessive-Compulsive Disorder and Illness Anxiety: Examining Commonalities and Comorbidity

Obsessive-compulsive disorder (OCD) and illness anxiety disorder (IAD) often co-occur. Cognitive-behavioral models of both disorders overlap and include maladaptive attentional processes, misinterpretation of thoughts and physical sensations, and engagement in repetitive behaviors in an attempt to reduce associated distress. Given commonalities in their presentation and their common co-occurrence, it is important to understand how illness anxiety affects the presentation and treatment of OCD. In this article, theoretical conceptualizations of OCD and IAD and their comorbid presentation are outlined, and assessment and differential diagnosis of these conditions are discussed. Despite shared cognitive vulnerabilities and behavioral patterns, well-validated symptom measures, along with careful functional analysis, can be used to distinguish between OCD, IAD, and comorbid presentations. Best practices for the cognitive-behavioral treatment of these co-occurring conditions are also presented, with suggestions based on both the empirical literature and detailed case studies. Finally, recommendations for future research on co-occurring OCD and IAD and their treatment are explored.

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

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

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

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

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

Background

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

Objective

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

Methodology

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

Findings

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

Value

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

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

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

New challenges in facing Cyberchondria during the COVID-19 pandemic

Cyberchondria (CYB) is characterized by excessive online searching for medical information and is associated with increasing levels of distress, anxiety, and interference with daily activities. As the use of digital devices and the Internet as a source of everyday information has increased, particularly during the current coronavirus disease (COVID-19) pandemic, so has CYB, becoming an object of interest to clinicians and researchers. The present review will provide an overview of the latest updates in CYB research. Emerging evidence draws attention to various vulnerability factors for developing CYB, including personal characteristics such as female gender, younger age, or a history of mental disorder, as well as engagement in particular forms of online behavior, such as increased use of social media, increased acceptance of online information, and information overload. Additionally, recent studies suggest that CYB may itself act as a mediating factor for increased COVID-19-related psychological burden. However, the data are still very sparse. Knowledge gaps include a universally accepted definition of CYB, severity thresholds to help differentiate nonpathological online health searches from CYB, as well as robustly evidence-based interventions.

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 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.

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.

Information seeking and health anxiety during the COVID-19 pandemic: The mediating role of catastrophic cognitions

Cognitive–behavioural models of health anxiety propose a positive association between information seeking and health anxiety; however, it is unclear the extent to which cognitive mechanisms may mediate this relationship. Catastrophic cognitions are one type of cognition that may mediate this relationship, and the COVID‐19 pandemic has presented an opportunity to examine these relationships within the context of a global health catastrophe. The current study investigated both cross‐sectional (N = 797) and longitudinal (n = 395) relationships between information seeking, health anxiety and catastrophizing during the pandemic. Data were collected using Amazon Mechanical Turk during April and May 2020. Information seeking and health anxiety were positively associated both cross‐sectionally and longitudinally (rs = .25–.29). Catastrophic cognitions significantly mediated the relationship between information seeking and health anxiety both cross‐sectionally and longitudinally. Developing effective methods of reducing information seeking and catastrophizing may serve to reduce health anxiety during global health crises such as the current pandemic.

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.

Therapeutic processes in digital interventions for anxiety: A systematic review and meta-analytic structural equation modeling of randomized controlled trials

While the efficacy of Internet- and mobile-based interventions (IMIs) for treating anxiety disorders is well established, there is no comprehensive overview about the underlying therapeutic processes so far. Thus, this systematic review and meta-analysis evaluated research on mediators and mechanisms of change in IMIs for adult anxiety disorders (PROSPERO: CRD42020185545). A systematic literature search was performed in five databases (i.e., CENTRAL, Embase, MEDLINE, PsycINFO and ClinicalTrials.gov). Two reviewers independently screened studies for inclusion, assessed the risk of bias and adherence to quality criteria for process research. Overall, 26 studies (N = 6042) investigating 64 mediators were included. Samples consisted predominantly of participants with clinically relevant symptoms of generalized anxiety disorder and severe health anxiety, as well as of participants with non-clinically relevant anxiety symptoms. The largest group of examined mediators (45%) were cognitive variables, evincing also the second highest proportion of significance (19/29); followed in numbers by skills (examined: 22%; significant: 10/14) and a wide range of other (19%; 7/12), emotional/affective (11%; 2/7) and behavioral mediators (3%; 1/2). Meta-analytical synthesis of mediators, limited by a small number of eligible studies, was conducted by deploying a two-stage structural equation modeling approach, resulting in a significant indirect effect for negative thinking (k = 3 studies) and non-significant indirect effects for combined cognitive variables, both in clinical (k = 5) and non-clinical samples (k = 3). The findings of this review might further the understanding on presumed change mechanisms in IMIs for anxiety, informing intervention development and the concurrent optimization of outcomes. Furthermore, by reviewing eligible mediation studies, we discuss methodological implications and recommendations for future process research, striving for causally robust findings. Future studies should investigate a broader range of variables as potential mediators, as well as to develop and apply original (digital) process and engagement measures to gather qualitative and high-resolution data on therapeutic processes.

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.

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.

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

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

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

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

Recent Insights Into Cyberchondria

PURPOSE OF REVIEW

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

RECENT FINDINGS

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