The development and initial validation of the cyberchondria severity scale (CSS)

Coronavirus anxiety and cyberchondria among teachers during the COVID-19 pandemic: an online survey: Coronavirus anxiety and cyberchondria

This study aimed to determine anxiety and cyberchondria and to investigate the links between anxiety and cyberchondria among teachers. This cross-sectional and descriptive study was conducted with 250 teachers. Data were collected using demographic information form, Cyberchondria Severity Scale and Coronavirus Anxiety Scale Short Form. The mean age of the teachers was 40.40 ± 8.83 years. The anxiety mean score was 7.70 ± 3.67, cyberchondria severity mean score was 73.47 ± 20.59. There were significant positive correlations between anxiety about COVID-19 and cyberchondria(r = 0.423, p < 0.001). Researchers must determine whether there is a benefit in further solving these relationships and reducing and preventing intervention in cyberchondria and anxiety; they must focus on results which increase anxiety, and investigate the correlation between cyberchondria, anxiety and behavior.

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

The Spanish version of the short form of the Cyberchondria Severity Scale (CSS-12): Testing the factor structure and measurement invariance across genders

Cyberchondria refers to excessive and repeated online health-related searching, which is associated with increased distress and anxiety. The Cyberchondria Severity Scale (CSS) is the most widely used measure for assessment of cyberchondria, and its shortened version (CSS-12) has recently been developed. The aim of the present study was to develop the Spanish version of the CSS-12 and test its psychometric properties. A community sample of 432 Spanish-speaking adults (67.6% women; mean age = 36.00 ± 15.22 years) completed the Spanish translation of CSS-12 along with measures of health anxiety, obsessive-compulsive, anxiety and depressive symptoms. The Spanish version of the CSS-12 comprises a general cyberchondria factor and four specific factors (‘excessiveness’, ‘compulsion’, ‘distress’, and ‘reassurance’). Multi-group confirmatory factor analysis indicated measurement invariance across gender groups. Internal consistency values for the total score and subscales were good to excellent. The CSS-12 showed strong correlations with health anxiety, and moderate to low correlations with anxiety, obsessive-compulsive and depressive symptoms, supporting the convergent and divergent validity of the CSS-12, respectively. In conclusion, these results show that the CSS-12 is a valid and reliable tool for measuring cyberchondria in both genders in the general Spanish population.

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

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

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

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

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.

Cyberchondria and Associated Factors Among Brazilian and Portuguese Dentists

Cyberchondria is a psychopathological behavior that affects people who compulsively consult the internet, by searching the symptoms of different pathologies from which they believe they are suffering, and when influenced by what they read, are sure they have some of these diseases. The aim of this study was to assess the cyberchondria level and associated factors among Brazilian and Portuguese dentists. A total 597 Brazilian and Portuguese dentists participated in this cross-sectional study. They were contacted via WhatsApp and asked to complete an online questionnaire on the Google Forms platform, from January 17 to 31, 2021, during the COVID-19 pandemic. Sociodemographic information was collected and cyberchondria was measured using the Portuguese language version of the Cyberchondria Severity Scale. Binary logistic regression models were used to estimate the unadjusted and adjusted Odds Ratio (OR) and corresponding 95% confidence interval (CI) for theassociationofcyberchondria and covariates. Each covariate was individually included in the regression model, and the unadjusted OR (95% CI) was estimated. Most participants were Brazilian (62.8%), women (75.5%), married (60.5%) and with children (55.6%). Average age was 42.1 years (+ 12.5). In the final model, it was found that with each increase of one year in age, the chance of a high level of cyberchondria decreased (OR=0.97; 95% CI 0.95-0.98). Brazilian dentists were 1.85 times more likely (95% CI 1.25-2.75) to have a high level of cyberchondria than Portuguese dentists. Women were 1.62 times more likely (95% CI 1.07-2.44) to have a high level of cyberchondria than men. It was concluded that young age, Brazilian nationality, and female gender favored the high level of cyberchondria among the participants in this sample during COVID-19 pandemic.

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.

Fear of Becoming Infected and Fear of Doing the Wrong Thing - Cross-Cultural Adaptation and Further Validation of the Multidimensional Assessment of COVID-19-Related Fears (MAC-RF)

Background

With the COVID-19 infection speeding around the world, many experience fear and anxiety. To detect those at risk of psychopathology and provide treatment, valid instruments are needed. The aim of this study was to cross-culturally validate the theory-based instrument Multidimensional Assessment of COVID-19-Related Fears (MAC-RF) in Croatian and to further examine the scale's validity by exploring its relationship with relevant constructs.

Method

A total of 477 participants completed an online survey during a rapid rise in new daily COVID-19 cases in Croatia and while new restrictions were being imposed.

Results

MAC-RF had a stronger association with health anxiety, cyberchondria, and anxiety sensitivity compared to depression, attesting to its convergent and divergent validity. However, a 2-factor structure was revealed in this sample: Fear of infection and Fear of using an inadequate strategy in dealing with pandemic. Fear of infection had a stronger association with health anxiety and COVID-19 anxiety and was a better predictor of COVID-19 related protective health behaviors. Fear of choosing an inadequate strategy had a stronger association with cyberchondria, fear of consequences of the epidemic on mental health, as well as financial consequences, and loss of civil liberties.

Conclusion

Fear of infection captures negative emotional states due to feared consequences on personal somatic health and the health of loved ones, while Fear of choosing an inadequate strategy in dealing with the pandemic reflects a metacognitive aspect. Treatments may have to target both aspects of COVID-19 related fear.

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.

Cyberchondria During the COVID-19 Pandemic

Many factors govern the behavior pertaining to anxiety regarding health – it may be stressors, triggers, adverse situations faced by people. Since the outbreak of the COVID-19 virus, health-related anxiety has been widespread. December 2019 saw the occurrence of a form of pneumonia, not known at that time, from the Wuhan region of China to rapidly proceed into a worldwide pandemic and lockdown. This disrupted normal life across the globe and affected social and economic functioning. Cyberchondria has been one of the coping strategies seen during this time, pertaining to online health-related searches which offer answers and relief as seen at the surface but also bringing a plethora of mental health challenges. The authors in this chapter try to simplify what exactly cyberchondria is and how has it affected the lives of the worldwide population during the COVID-19 crisis, the biggest pandemic of recent times. The origin, development, and prevalence of the concept, along with coping, treatment, and prevention of the condition are discussed.

The 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.

Medical and Health-related Misinformation on Social Media: Analysis of the Scientific Literature

Background

Social media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. Conventional systematic reviews have been published on this topic to identify original articles and to summarize their methodological approaches and themes. A bibliometric study could complement their findings, for instance, by evaluating the geographical distribution of the publications and determining if they were well cited and disseminated in high-impact journals.

Objective

The aim of this study was to perform a bibliometric analysis of the current literature to discover the prevalent trends and topics related to medical misinformation on social media.

Methods

The Web of Science Core Collection electronic database was accessed to identify relevant papers with the following search string: ALL=(misinformati* OR “wrong informati*” OR disinformati* OR “misleading informati*” OR “fake news*”) AND ALL=(medic* OR illness* OR disease* OR health* OR pharma* OR drug* OR therap*) AND ALL=(“social media*” OR Facebook* OR Twitter* OR Instagram* OR YouTube* OR Weibo* OR Whatsapp* OR Reddit* OR TikTok* OR WeChat*). Full records were exported to a bibliometric software, VOSviewer, to link bibliographic information with citation data. Term and keyword maps were created to illustrate recurring terms and keywords.

Results

Based on an analysis of 529 papers on medical and health-related misinformation on social media, we found that the most popularly investigated social media platforms were Twitter (n=90), YouTube (n=67), and Facebook (n=57). Articles targeting these 3 platforms had higher citations per paper (>13.7) than articles covering other social media platforms (Instagram, Weibo, WhatsApp, Reddit, and WeChat; citations per paper <8.7). Moreover, social media platform–specific papers accounted for 44.1% (233/529) of all identified publications. Investigations on these platforms had different foci. Twitter-based research explored cyberchondria and hypochondriasis, YouTube-based research explored tobacco smoking, and Facebook-based research studied vaccine hesitancy related to autism. COVID-19 was a common topic investigated across all platforms. Overall, the United States contributed to half of all identified papers, and 80% of the top 10 most productive institutions were based in this country. The identified papers were mostly published in journals of the categories public environmental and occupational health, communication, health care sciences services, medical informatics, and medicine general internal, with the top journal being the Journal of Medical Internet Research.

Conclusions

There is a significant platform-specific topic preference for social media investigations on medical misinformation. With a large population of internet users from China, it may be reasonably expected that Weibo, WeChat, and TikTok (and its Chinese version Douyin) would be more investigated in future studies. Currently, these platforms present research gaps that leave their usage and information dissemination warranting further evaluation. Future studies should also include social platforms targeting non-English users to provide a wider global perspective.

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.

Examination of the relationship between smartphone addiction and cyberchondria in adolescents

In this descriptive and correlational study, it was aimed to examine the relationship between adolescents' smartphone addiction and cyberchondria. Data were obtained from 384 adolescent high school students in Istanbul between December 2020 and January 2021, using a Personal Information Form, the Smartphone Addiction Scale, and Cyberchondria Severity Scale. The data were collected through face-to-face interviews with the students. The adolescents' smartphone use duration was 3.67 ± 1.66 years. Almost all (97.9%) connected to the internet via smartphones and 39.3% spent 3-4 h per day on the internet. It was determined that 61.7% of them checked their phones as soon as they woke up in the morning and 75.3% of them before going to bed in the evening. For those whose smartphone use duration is high, their cyberchondria also increases. The authors suggest that nurses should understand smartphone addiction and cyberchondria to identify and apply nursing interventions when necessary in adolescents.

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.

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.

Cyberchondria severity and quality of life among Lebanese adults: the mediating role of fear of COVID-19, depression, anxiety, stress and obsessive-compulsive behavior-a structural equation model approach

BACKGROUND

This study highlights the significant association between cyberchondria and quality of life among the Lebanese population in the time of COVID-19. The aim was to assess the association between cyberchondria and quality of life (QOL) of Lebanese community during the COVID-19 pandemic and assess the mediating effect of fear of COVID-19, depression, anxiety, stress and Yale-Brown Obsessive-Compulsive Scale in this association.

METHODS

This cross-sectional study was carried out between December 2020 and January 2021, during the COVID-19 pandemic. A total of 449 persons participated in this study by filling the online questionnaire. Structural equation modeling (SEM) was performed to examine the structural relationship between cyberchondria severity, the mediator (anxiety, stress, depression, obsessive-compulsive disorder (OCD) and fear of COVID-19) and physical/mental QOL.

RESULTS

Having a university level of education and older age were significantly associated with higher physical QOL scores, whereas higher obsession-compulsion disorder, higher stress and higher anxiety were significantly associated with lower physical QOL scores. Higher anxiety was significantly associated with lower mental QOL scores. The results of the SEM showed that stress, fear of COVID-19 and to a lesser limit OCD, mediated the association between cyberchondria severity and physical QOL, whereas anxiety, stress and fear of COVID-19 mediated the association between cyberchondria severity and mental QOL.

CONCLUSION

This research reported interesting results encouraging more exploration of cyberchondria and its association with quality of life during this unique period of the pandemic. However, this virus has altered the lives of individuals all across the world, and the consequences will last for a long time. Along with all of the steps done to stop the development of COVID-19 and improve physical outcomes, mental health requires immediate care. More research is needed to determine the coping techniques people are employing to deal with the pandemic.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Investigation of the effect of cyberchondria behavior on e-health literacy in healthcare workers

This study aims to examine the effects of nurses' and other healthcare workers' perceptions of cyberchondria on e-health literacy. No sample was selected in the research, and a total of 220 people were surveyed. According to the result of the regression analysis, the perception of cyberchondria explains 12.4% of the total variance on e-health literacy. Based on the findings of the research, it can be said that the increase in the perception of the participants about the excessiveness dimension increases the levels of e-health literacy statistically.

The relationship between the stress experienced by parents and cyberchondria during the pandemic process

Purpose

The purpose of this paper is to examine the relationship between the stress experienced by parents during the pandemic and their cyberchondria. The research was carried out in a descriptive and cross-sectional manner.

Design/methodology/approach

The sample of the research: living in Turkey and has created 432 parents with at least one child between the ages of 6 and 15. Participant information form, parental stress scale and cyberchondria scale were used in the study. Data were collected through online surveys between July 1, 2020, and August 31, 2020.

Findings

In the study, when the scores obtained from the Parental Stress Scale and the Cyberchondria Scale were compared with the demographic characteristics, a significant difference was found between gender, age, marital status, education level, economic status, number of children and presence of chronic diseases (p < 0.05). It was determined that there is a significant difference between the responses of the parents regarding the pandemic process and the Parental Stress Scale and the Cyberchondria Scale (p < 0.05). A positive significant correlation was found between the Parental Stress Scale and the total and subdimensions of the Cyberchondria Scale (p < 0.05).

Research limitations/implications

The research was carried out with only parents with children between the ages of 6 and 15, but it reveals the stress and cyberchondria of the parents during the pandemic.

Originality/value

The results obtained reflect the factors affecting the stress and cyberchondria levels experienced by parents during the pandemic process. Also, as the stress of the parent's increases, it has seen that the level of cyberchondria increases in parallel.

Anxious temperament and cyberchondria as mediated by fear of COVID-19 infection: A cross-sectional study

This study's main goal was to evaluate the association between anxious temperament and the fear of COVID-19-related self-infection and infection in loved ones (family members, friends, relatives) and cyberchondria. The sample consisted of 499 men and women aged between 18 and 72 who were gathered from the general population via an online recruitment platform. A numerical rating scale comprising 11 degrees of fear was used to assess participants' COVID-19-related fear, and affective temperaments were evaluated using Akiskal's Temperament Evaluation of the Memphis, Pisa, Paris and San Diego Autoquestionnaire (TEMPS-A) scales. Cyberchondria was assessed using McElroy and Shevlin's Cyberchondria Severity Scale (CSS). Small to medium positive correlations were found between depressive, cyclothymic, irritable and anxious temperaments and cyberchondria and between depressive and anxious temperaments and COVID-19 fears. However, no correlation was observed between the hyperthymic temperament and cyberchondria. Cyberchondria positively correlated with both COVID-19 fears scales, though the correlation coefficients were medium. Based on the results of linear regression analysis, only anxious temperament and COVID-19 fear of self-infection were significant predictors of cyberchondria. The analysis also revealed a significant indirect effect of anxious temperament on cyberchondria through fear of COVID-19 self-infection as a mediator between anxious temperament and cyberchondria.

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.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

Background

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

Objective

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

Methods

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

Results

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

Conclusions

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

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.

Partners in Sickness and in Health? Relationship-Centered Veterinary Care and Self-Educated Pet Owners in Germany: A Structural Equation Model

In recent years, the web has become a widely used source for health information. Pet owners seem to respond to the supply of medical information on the Internet by increasing their self-education. However, after more than a decade of the digital revolution, little is known about the Internet's impact on the veterinarian-pet owner relationship. Recent research has raised concerns regarding the increase in self-education among pet owners. However, reasons suggest that the Internet might be a valuable source of pet-owner education for veterinarians. In particular, relationship-centered approaches of care might benefit from the information provided. Our study aimed to determine the perception of German veterinarians with regard to pet owners' self-education on different aspects of veterinary care. An online survey was conducted for German veterinarians from November 2016 to June 2017. Data were analyzed using exploratory factor analysis and structural equation modeling. Within the structural equation model, we evaluated how the veterinarians' attitude toward relationship-centered care might affect the evaluation of pet owners' self-education. A total of 585 valid questionnaires were completed. The majority of veterinarians (83.6%) welcomed the principles of shared decision-making. Practically, all veterinarians reported a noticeable increase in pet owners' self-education within the last few years. Perceptions on self-education's impacts on veterinary practice varied among the participants. A beneficial impact of self-education was reported regarding the general quality of veterinary care and quality of follow-up care. Most concerns were related to a negative impact on the veterinarian-pet owner relationship and the pet owners' demands on the veterinarians' work after self-education. Moreover, many participants were afraid that unfiltered information may unsettle pet owners and, therefore, advised them against self-education. The structural equation model confirmed the hypothesis that a veterinarian's positive attitude toward shared decision-making, empathic behavior, and his/her evaluation of self-education were associated. Therefore, we concluded that while there are beneficial potentials, there seem to be barriers that prevent the effective use of the Internet as a supportive medium in veterinary care. Further research and training are needed to enable the use of the Internet as an ancillary medium.

Adolescents' and parents' anxiety during COVID-19: is there a role of cyberchondriasis and emotion regulation through the internet?

COVID-19 pandemic period presents a unique context for the investigation of anxiety symptoms among adolescents and their parents. This study investigated adolescents' and their parents' anxiety symptoms, the effects of parental cyberchondriasis and adolescents' emotion regulation on anxiety symptoms. The sample consisted of 155 adolescents (x̅ = 14.63, SD = 2.04) and one of their parents (N = 155). The results showed that after controlling for adolescents' gender and emotion regulation, parental cyberchondriasis and anxiety accounted for an important variance in adolescents' anxiety. Especially higher parental anxiety and compulsion were associated with higher anxiety, whereas higher distress was associated with lower anxiety. Besides, two dimensions of cyberchondriasis, compulsion, and distress, together with adolescent anxiety, predicted parental anxiety during COVID-19. While compulsion was negatively associated with anxiety, distress, and adolescent anxiety were positively associated with it. The dimensions of cyberchondriasis affected anxiety differently among adolescents and their parents. The results were discussed in terms of the implications for intervention from the ecological viewpoint.

Compulsive Health-Related Internet Use and Cyberchondria

BACKGROUND

Cyberchondria denotes excessive and repeated online health-related searches associated with an increase in health anxiety. Such searches persist in those with cyberchondria, despite the negative consequences, resembling a pattern of compulsive Internet use.

OBJECTIVES

The aim of the present study was to assess compulsive health-related Internet use in relation to cyberchondria while controlling for related variables.

METHOD

Adult participants (N = 749) were recruited from an online platform. They completed questionnaires assessing the severity of cyberchondria (via the Cyberchondria Severity Scale [CSS]), compulsive Internet use adapted for online health-related seeking (via the adapted Compulsive Internet Use Scale [CIUS]), and levels of intolerance of uncertainty and anxiety, as well as depressive, somatic, and obsessive-compulsive symptoms. A logistic regression analysis was carried out to identify predictors of scores above a cutoff value on the CIUS, indicating compulsive health-related Internet use.

RESULTS

The regression output showed that only the CSS total score and sex made a unique, statistically significant contribution to the model, leading to the correct classification of 78.6% of the cases. Of the CSS subscales, compulsion and distress were the most strongly associated with compulsive health-related Internet use.

CONCLUSIONS

The finding that the adapted CIUS scores are associated with cyberchondria indicates that cyberchondria has a compulsive component, at least in terms of health-related Internet use. It also suggests that compulsive health-related Internet use persists despite the distress associated with this activity. Males may engage in cyberchondria more compulsively than females. These findings have implications for research and clinical practice.

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.

Outcomes of Equity-Oriented, Web-Based Parenting Information in Mothers of Low Socioeconomic Status Compared to Other Mothers: Participatory Mixed Methods Study

BACKGROUND

Typically, web-based consumer health information is considered more beneficial for people with high levels of education and income. No evidence shows that equity-oriented information offers equal benefits to all. This is important for parents of low socioeconomic status (SES; low levels of education and income and usually a low level of literacy).

OBJECTIVE

This study is based on a conceptual framework of information outcomes. In light of this, it aims to compare the perception of the outcomes of web-based parenting information in low-SES mothers with that of other mothers and explore the perspective of low-SES mothers on contextual factors and information needs and behavior associated with these outcomes.

METHODS

A participatory mixed methods research was conducted in partnership with academic researchers and Naître et grandir (N&G) editors. N&G is a magazine, website, and newsletter that offers trustworthy parenting information on child development, education, health, and well-being in a format that is easy to read, listen, or watch. Quantitative component (QUAN) included a 3-year longitudinal observational web survey; participants were mothers of 0- to 8-year-old children. For each N&G newsletter, the participants' perception regarding the outcomes of specific N&G webpages was gathered using a content-validated Information Assessment Method (IAM) questionnaire. Differences between participants of low SES versus others were estimated. Qualitative component (QUAL) was interpretive; participants were low-SES mothers. The thematic analysis of interview transcripts identified participants' characteristics and different sources of information depending on information needs. Findings from the two components were integrated (QUAN+QUAL integration) through the conceptual framework and assimilated into the description of an ideal-typical mother of low SES (Kate). A narrative describes Kate's perception of the outcomes of web-based parenting information and her perspective on contextual factors, information needs, and behavior associated with these outcomes.

RESULTS

QUAN-a total of 1889 participants completed 2447 IAM responses (50 from mothers of low SES and 2397 from other mothers). N&G information was more likely to help low-SES participants to better understand something, decrease worries, and increase self-confidence in decision making. QUAL-the 40 participants (21 N&G users and 19 nonusers) used 4 information sources in an iterative manner: websites, forums, relatives, and professionals. The integration of QUAN and QUAL findings provides a short narrative, Kate, which summarizes the main findings.

CONCLUSIONS

This is the first study comparing perceptions of information outcomes in low-SES mothers with those of other mothers. Findings suggest that equity-oriented, web-based parenting information can offer equal benefits to all, including low-SES mothers. The short narrative, Kate, can be quickly read by decision policy makers, for example, web editors, and might encourage them to reach the underserved and provide and assess trustworthy web-based consumer health information in a format that is easy to read, listen, or watch.

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

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

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.

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.