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

Psychological responses and factors associated with depression and anxiety in entry personnel under quarantine during pandemic in China

Background

The global COVID-19 pandemic has highlighted critical concerns surrounding mental health. Social isolation measures, such as the quarantine of incoming travelers, are essential public health strategies for the prevention and control of infectious diseases. However, quarantine can lead to adverse psychological outcomes, including feelings of confinement, boredom, perceived scarcity of supplies and information, financial hardship, and social stigma. This study aims to assess the mental states of quarantined individuals, investigate the factors affecting their mental well-being, and examine their coping mechanisms, with the objective of providing recommendations to enhance mental health in anticipation of future outbreaks, such as Disease X.

Methods

We surveyed 327 individuals in quarantine from September 22, 2020 to January 9, 2021, collecting general demographic data and information related to COVID-19. Depression and anxiety were assessed using the PHQ-9 and GAD-7 scales, respectively, while stress coping was evaluated with a simplified version of the Cope scale. We analyzed the relationships between independent variables and mental health outcomes.

Results

Among the individuals undergoing entry quarantine, 27.8% reported symptoms of depression, and 20.5% reported symptoms of anxiety. Students were more likely to experience depression compared to those with permanent jobs or no occupation. Significant risk factors for both depression and anxiety included pre-existing health conditions, lack of medical insurance, concerns about shortages of daily necessities during quarantine, and high scores for "guilt and self-blame." Additionally, participants who worried about the impact of the epidemic on their studies or work, and those with high scores for "denial," were more likely to exhibit depressive symptoms. On the other hand, participants who were concerned about potential rejection or discrimination from the outside world after quarantine were more prone to anxiety symptoms.

Conclusion

Attention should be paid to the negative psychological reactions of the entry quarantined personnel, especially those with pre-existing health conditions, those without medical insurance, and students studying abroad. Accurate and effective epidemic dynamic information and preventive and control measures can be provided to the public to prevent fear and stigma against quarantined personnel.

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

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

Impact of COVID-19 on Academic Burnout among Medical College Students in China: Findings from a Web-Based Survey

BACKGROUND Academic burnout can affect students' academic behavior and performance and especially damages the careers of medical college students. Medical education systems during the COVID-19 pandemic have met unprecedented challenges that have influenced medical students. This study aimed to explore the effects of psychological resilience, stress, and smartphone addiction on academic burnout among Chinese medical students. MATERIAL AND METHODS This study utilized a cross-sectional design, from March 13, 2022 to March 31, 2022, within the Wannan Medical College, where students completed a web-based survey. The Chinese version of the Academic Burnout Scale (ABS), the 10-item Smartphone Addiction Scale-Short Version (SAS-SV), the Connor-Davidson Resilience Scale (CD-RISC 10) and the Perceived Stress Scale (PSS-4) were used in this survey. Data entry and analysis were conducted using IBM SPSS ver. 22.0. Pearson's correlation coefficient (r) was used to examine the correlations between medical college students' academic burnout and smartphone addiction and mental health. Binary logistic regression analysis was carried out to evaluate the factors influencing academic burnout. RESULTS Of 3190 medical college students who completed the survey, 1521 (47.7%) had some degree of academic burnout. Gender, being a student leader, grades, perceived stress, and smartphone addiction were associated with the total score of academic burnout. Psychological resilience and adapting to online classes were protective factors against academic burnout. CONCLUSIONS Academic burnout is common among medical college students in China after the COVID-19 pandemic, and it is urgent to address this situation to improve the quality of medical education.

The interplay among individuals' distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis

The reduction of social interactions through non-pharmaceutical interventions (NPIs) has been shown to effectively curb COVID-19 transmission. However, these control measures were often accompanied by changes in people's daily routines and constraints on their activity space, which could lead to mental distress (i.e., anxiety and depression). This study examined the interplay among individuals' anxiety, depression, daily activities, and perceptions of COVID-19 and neighborhood cohesion. Taking Hong Kong as an example, an online survey (N = 376) was conducted to collect data from participants between March 14 to May 11, 2022. The data include respondents' self-reported anxiety and depressive symptoms, daily activities (e.g., smartphone use), perceptions of COVID-19 (e.g., the possibility of infecting COVID-19), and perceptions of neighborhood cohesion. Using network analysis, we found that excessive smartphone use, life disturbance by COVID-19, and a community with people getting along well with each other were significant factors associated with participants' anxiety and depression. Using critical path analysis, we observed that NPIs reduced human mobility, led to delayed bedtime, and increased smartphone use, which were associated with participants' mental distress. We also found that NPIs and COVID-19 were associated with people's perceptions of infection and the severity of COVID-19 and human mobility flexibility, which may further lead to mental distress. Our results also demonstrated that people with high education levels were vulnerable. These results provided important insights for designing appropriate interventions without generating deleterious impacts on people's mental health in the future.

Manifestations and Outcomes of Intracerebral Hemorrhage During the COVID-19 Pandemic in China: Multicenter, Longitudinal Cohort Study

BACKGROUND

The COVID-19 pandemic has inevitably affected the distribution of medical resources, and epidemic lockdowns have had a significant impact on the nursing and treatment of patients with other acute diseases, including intracerebral hemorrhage (ICH).

OBJECTIVE

This study aimed to investigate how the COVID-19 pandemic affected the manifestations and outcomes of patients with ICH.

METHODS

Patients with acute ICH before (December 1, 2018-November 30, 2019) and during (December 1, 2019-November 30, 2020) the COVID-19 pandemic at 31 centers in China from the Chinese Cerebral Hemorrhage: Mechanism and Intervention (CHEERY) study were entered into the analysis. Demographic information and clinical manifestations and outcomes were collected and compared between the 2 groups.

RESULTS

From December 1, 2018, to November 30, 2020, a total of 3460 patients with ICH from the CHEERY study were enrolled and eventually analyzed. The results showed that during the COVID-19 pandemic, patients with ICH were more likely to be older (P<.001) with a history of ischemic stroke (P=.04), shorter time from onset to admission (P<.001), higher blood pressure (P<.001), higher fasting blood glucose (P=.003), larger hematoma volume (P<.001), and more common deep ICH (P=.01) and intraventricular hemorrhage (P=.02). These patients required more intensive care unit treatment (P<.001) and preferred to go to the hospital directly rather than call an ambulance (P<.001). In addition, the COVID-19 pandemic was associated with an increased risk of pulmonary infection during hospitalization (adjusted risk ratio [RRadjusted] 1.267, 95% CI 1.065-1.509), lower probability of a 3-month good outcome (RRadjusted 0.975, 95% CI 0.956-0.995), and a higher probability of in-hospital (RRadjusted 3.103, 95% CI 2.156-4.465), 1-month (RRadjusted 1.064, 95% CI 1.042-1.087), and 3-month (RRadjusted 1.069, 95% CI 1.045-1.093) mortality.

CONCLUSIONS

Our study indicated that the cloud of COVID-19 has adversely impacted the presentation and outcomes of ICH. Medical workers may pay more attention to patients with ICH, while the public should pay more attention to hypertension control and ICH prevention.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR1900020872; https://www.chictr.org.cn/showprojEN.html?proj=33817.

Intensity and Network Structure of Insomnia Symptoms and the Role of Mental Health During the First Two Waves of the COVID-19 Pandemic

Purpose

Insomnia, being a mental disorder, is best conceived as a network of symptoms. With the important increase in insomnia prevalence during the COVID-19 pandemic, our aim was to investigate how the structure of insomnia symptoms in the general population has changed due to the pandemic. We also looked at the directional dependencies of nightmares and of covid- and lockdown-related stress/anxiety and depression in insomnia.

Patients and Methods

5986 persons replied to our online questionnaire for the first wave and 2843 persons to our second wave questionnaire. Both questionnaires included the Insomnia Severity Index (ISI). Regularized Gaussian Graphical Models (GGM) and Bayesian Directed Acyclic Graphs (DAG) were estimated.

Results

The pre- and peri-lockdown networks were equally strongly connected (first wave: S = 0.13, p = 0.39; second wave: S = 0.03, p = 0.67), but differed for the first lockdown regarding only six edges (M = 0.13, p < 0.001) and for the second lockdown only five edges (M = 0.16, p < 0.001). These symptoms all worsened during the lockdowns in comparison to before the pandemic (p < 0.001). The diurnal items of the ISI had the highest predictability and centrality values in the GGMs. Lockdown-related stress/anxiety influenced indirectly nightmares through covid-related stress/anxiety, lockdown-related depressive affect and mental fatigue. These reported feelings of stress/anxiety and depression showed an indirect impact on insomnia symptoms through mental and physical fatigue.

Conclusion

Though the lockdown slightly intensified insomnia symptoms, it did not alter their network structure. Despite their differences, both GGMs and DAGs agree that the diurnal symptoms of the ISI, play an essential role in the network structure. Both methods confirm the need for emphasizing the cognitive/affective component in the treatment of insomnia (ie cognitive behavioral therapy).

Impact of COVID-19 on the Mental Health of Psychiatric Inpatients

Purpose

The perceptions and responses to acute states of emergency may vary for people experiencing serious mental illness (SMI). Therefore, studying the mental health toll of the COVID-19 pandemic on psychiatric inpatients can inform psychiatric care in the event of future global crises. The objective of this study was to determine if there was a difference in the incidence of mental health manifestations in an adult inpatient state psychiatric facility during the COVID-19 pandemic, compared to the immediately preceding year.

Methods

Medication administration history for patients who utilized an as needed (PRN) medication for anxiety, agitation, or psychosis between March 1, 2020, and February 28, 2021, were analyzed. Secondary data on the incidence of restraints and seclusions were also examined.

Results

The total number of PRN medications was higher during the pre-COVID-19 time frame than during the pandemic (8,139 vs. 7,630), but this was not statistically significant. The following assessments were statistically significant: predominance of psychosis as a psychiatric symptom during the COVID-19 time frame (557 vs. 389), and the difference in PRN medication administration times between time frames as categorized by day (3,741 vs. 2,623), evening (3,844 vs. 4,239), and night (554 vs. 768).

Conclusion

During the height of the COVID-19 pandemic, the use of PRN medications for psychosis increased and the use of PRN medications for anxiety and agitation decreased among inpatients at a state psychiatric hospital. These results suggest that experiencing a worldwide pandemic in a psychiatric inpatient facility may be protective in some respects but may exacerbate symptoms of psychosis.

Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors

BACKGROUND

Expressive writing and motivational interviewing are well-known approaches to help patients cope with stressful life events. Although these methods are often applied by human counselors, it is less well understood if an automated artificial intelligence approach can benefit patients. Providing an automated method would help expose a wider range of people to the possible benefits of motivational interviewing, with lower cost and more adaptability to sudden events like the COVID-19 pandemic.

OBJECTIVE

This study presents an automated writing system and evaluates possible outcomes among participants with respect to behavior related to the COVID-19 pandemic.

METHODS

We developed a rule-based dialogue system for "Expressive Interviewing" to elicit writing from participants on the subject of how COVID-19 has impacted their lives. The system prompts participants to describe their life experiences and emotions and provides topic-specific prompts in response to participants' use of topical keywords. In May 2021 and June 2021, we recruited participants (N=151) via Prolific to complete either the Expressive Interviewing task or a control task. We surveyed participants immediately before the intervention, immediately after the intervention, and again 2 weeks after the intervention. We measured participants' self-reported stress, general mental health, COVID-19-related health behavior, and social behavior.

RESULTS

Participants generally wrote long responses during the task (53.3 words per response). In aggregate, task participants experienced a significant decrease in stress in the short term (~23% decrease, P<.001) and a slight difference in social activity compared with the control group (P=.03). No significant differences in short-term or long-term outcomes were detected between participant subgroups (eg, male versus female participants) except for some within-condition differences by ethnicity (eg, higher social activity among African American people participating in Expressive Interviewing vs participants of other ethnicities). For short-term effects, participants showed different outcomes based on their writing. Using more anxiety-related words was correlated with a greater short-term decrease in stress (r=-0.264, P<.001), and using more positive emotion words was correlated with a more meaningful experience (r=0.243, P=.001). As for long-term effects, writing with more lexical diversity was correlated with an increase in social activity (r=0.266, P<.001).

CONCLUSIONS

Expressive Interviewing participants exhibited short-term, but not long-term, positive changes in mental health, and some linguistic metrics of writing style were correlated with positive change in behavior. Although there were no significant long-term effects observed, the positive short-term effects suggest that the Expressive Interviewing intervention could be used in cases in which a patient lacks access to traditional therapy and needs a short-term solution.

TRIAL REGISTRATION

Clincaltrials.gov NCT05949840; https://www.clinicaltrials.gov/study/NCT05949840.

Meta-analysis on application of Protection Motivation Theory in preventive behaviors against COVID-19

The present study aims to conduct a systematic review and meta-analysis on quantitative conclusion and appraisal of findings from Protection Motivation Theory to predict protective behaviors against COVID-19. This meta-analysis covered the period between 2019 and 2022. Web of Science, Science Direct, Scopus, Emerald, PubMed, Springer, Sage, Online Wiley Library, Taylor & Francis and ProQuest were searched to find related articles to the study topic. Using Effect Size of Random model, the quality of each study, homogeneous of studies and Publication bias of data were analyzed and assessed by CMA2 software. The results indicate that perceived severity (β=0.197), perceived vulnerability (β=0.160), response efficacy (β=0.251) and self-efficacy (β=0.270) are positively associated with COVID-19 disease. In addition, the results show that Response cost (β=-0.074) is a negative and weak predictor of motivation to protect against COVID-19. The results of this study regarding Protection Motivation Theory (PMT)- as a very strong and flexible theory during outbreak of COVID-19- may suggest that despite positive protection, the mean of Effect Size of total PMT elements is less than average size. Meta-analysis of studies shows that coping appraisal variables provide the strongest predictors of behavior and intention. Furthermore, self-efficacy was identified as the most important determinant in protective behaviors against COVID-19.

[Sources used to obtain information on COVID-19 and its impact on mental health.]

With the rise of COVID-19, the society has had the need to search for information about the pandemic and the sources used to obtain information have been very diverse, with a greater predominance of social media, traditional media and consultation with loved ones. In addition, an excess of information has been observed in the media that made access and understanding difficult, as well as a constant concern and anxiety about health that caused a need to search excessively or repeatedly for information on health and disease. This information was not always endorsed by the scientific community and during the pandemic there has been the spread of misinformation, fake news and conspiracy theories about COVID-19 disseminated, mainly through social media. In this sense, both the knowledge and the beliefs apprehended have been able to impact the mental health of the population.

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.

Caregiver Perceptions of Children's and Adolescents' Psychosocial Functioning During the Stringent COVID-19 Lockdown Restrictions in Shanghai: Cross-sectional Study

BACKGROUND

The COVID-19 pandemic represents a global health crisis. The Shanghai municipal government in China implemented strict and comprehensive pandemic control strategies in the first half of 2022 to eliminate a wave of COVID-19 infection. The pandemic and the resulting government responses have led to abrupt changes to families' daily lives, including the mental health of children and adolescents.

OBJECTIVE

The aim of this paper is to examine the impact of COVID-19 exposure and the stringent lockdown measures on the daily life and mental health of children and adolescents and to provide suggestions on maintaining their mental health when similar public health emergencies occur in the future.

METHODS

In this cross-sectional study, an anonymous survey was distributed online in May 1-15, 2022, in Shanghai. Individuals were eligible to participate if they were currently the caregiver of a child or adolescent (aged 4-17 years). Outcomes were psychosocial functioning of children and adolescents, as reported by parents, using the Pediatric Symptom Checklist-17. COVID-19 exposure and life changes were also reported. Multivariate logistic regression was used to analyze risk factors for poor psychosocial functioning.

RESULTS

In total, 2493 valid questionnaires were analyzed. The rate of positive scores on the global Pediatric Symptom Checklist-17 scale was 16.5% (n=411). Internalizing, attention, and externalizing problem subscale positivity rates were 17.3% (n=431), 10.9% (n=272), and 8.9% (n=221), respectively. Caregivers reported that 64.2% (n=1601) and 20.7% (n=516) of the children's interactions with friends or peers and parents deteriorated, respectively. Compared with male caregivers, female caregivers were less likely to report psychosocial problems in children and adolescents (adjusted odds ratio [aOR] 0.68; 95% CI 0.53-0.88). Older children and those with lower COVID-19 Exposure and Family Impact Scales scores were less likely to have psychological problems (aOR 1.15; 95% CI 1.10-1.21). Compared with children with screen times <1 hour per day for recreation, those using screens for >3 hours had higher odds of psychological distress (aOR 2.09; 95% CI 1.47-1.97). Children who spent 1-2 hours exercising and had better interactions with friends or peers and parents showed a trend toward lower odds of psychological problems. Children and adolescents with worse sleep compared with preclosure were more likely to have psychological problems.

CONCLUSIONS

The prevalence of psychosocial problems among children and adolescents is relatively high. Being young, having more COVID-19 exposure, and having more screen times (>3 h/day), less exercise time (<30 min), worse sleep, and deteriorated interactions with friends or peers and parents were risk factors for poor psychosocial functioning. It is necessary for governments, communities, schools, and families to take appropriate countermeasures to reduce the negative impact of the stringent control measures on caregivers' parenting and psychosocial functioning of children and adolescents.

The relationship among pregnancy-related anxiety, perceived social support, family function and resilience in Chinese pregnant women: a structural equation modeling analysis

BACKGROUND

Accumulating evidence suggests that pregnancy-related anxiety (PRA) has adverse impacts on maternity health and infant development. A substantial body of literature has documented the important influence of family function, perceived social support and resilience on PRA. However, research identifying the mediating mechanisms underlying this relationship in China are still lacking. Therefore, the current study aimed to investigate the prevalence of PRA under the three-child policy in China, and also explore the interrelationships among perceived social support, family function, resilience, and PRA.

METHODS

In this cross-sectional study, a convenient sampling method was used to select 579 pregnant women who underwent prenatal examination at the maternity outpatient departments of the First Affiliated Hospital of Chongqing Medical University in China from December 2021 to April 2022. Participants were required to complete the following questionnaires: the demographic form, the Chinese Pregnancy-related Anxiety scale, the 10-item Connor-Davidson Resilience Scale, the APGAR Family Care Index Scale, and Multidimensional Scale of Perceived Social Support. Pearson correlation analysis was utilized to examine the rudimentary relationship among the study variables. Bootstrapping analyses in the structural equation modeling were applied to identify the significance of indirect effects.

RESULTS

There were 41.4% of pregnant Chinese women indicating PRA. Correlational analyses indicated that perceived social support, family function and resilience were negatively associated with PRA (r = - 0.47, P < 0.01; r = - 0.43, P < 0.01; r = - 0.37, P < 0.01, respectively). The results of bootstrapping analyses demonstrated significant indirect effects of perceived social support (β = - 0.098, 95% CI [- 0.184, - 0.021]) and family function (β = - 0.049, 95% CI [- 0.103, - 0.011]) on PRA via resilience.

CONCLUSIONS

Chinese pregnant women are suffering from high levels of PRA. Better family function and perceived social support might reduce the occurrence of PRA, as well as by the mediating effects of resilience. Healthcare providers must be concerned about PRA and perform corresponding actions to reduce it. By strengthening social support and improving family function, antenatal care providers could effectively reduce or prevent PRA. And more importantly, implementing resilience-promoting measures are also essential to relieve anxiety and support mental health in pregnant women.

How Income Inequality and Race Concentrate Depression in Low-Income Women in the US; 2005-2016

Aim: To estimate the association between income and depressive symptoms in adult women, ages 20 years and older. Methods: Data for this study came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES). We measured the presence of depressive symptoms by using a 9-item PHQ (Public Health Questionnaire, PHQ-9) and the Poverty to Income Ratio (PIR) as a proxy for income. We employed Negative Binomial Regression (NBRG) and logistic regression models in a sample of 11,420 women. We adjusted models by age, racial/ethnic groups, marital status, education, health insurance, comorbidity, and utilization of mental health professionals. We calculated the Gini Coefficient (GC) as a measure of income inequality, using PIR. Results: Between 2005 and 2016, 20.1% of low-PIR women suffered from depression (PHQ ≥10) compared with 12.0% of women in medium-PIR and 5.0% in high-PIR. The highest probabilities of being depressed were in Black Non-Hispanics (BNH) and Hispanics (12.0%), and then in White NH (WNH; 9.1%). The results of NBRG have shown that women in medium-PIR (0.90 [CI: 0.84-0.97]) and high-PIR 0.76 (CI: 0.70-0.82) had a lower incidence-rate ratio than women in low-PIR. The logistic regression results showed that income is protective in High-PIR groups (OR = 0.56, CI [0.43-0.73]). Conclusion: Policies to treat depression should prioritize the needs of low-income women of all racial groups and women.

How Income and Income Inequality Drive Depressive Symptoms in U.S. Adults, Does Sex Matter: 2005-2016

IMPORTANCE

Depression is one of the leading causes of disability in the United States. Depression prevalence varies by income and sex, but more evidence is needed on the role income inequality may play in these associations.

OBJECTIVE

To examine the association between the Poverty to Income Ratio (PIR)-as a proxy for income-and depressive symptoms in adults ages 20 years and older, and to test how depression was concentrated among PIR.

DESIGN

Using the 2005-2016 National Health and Nutrition Examination Survey (NHANES), we employed Negative Binomial Regression (NBRG) in a sample of 24,166 adults. We used a 9-item PHQ (Public Health Questionnaire, PHQ-9) to measure the presence of depressive symptoms as an outcome variable. Additionally, we plotted a concentration curve to explain how depression is distributed among PIR.

RESULTS

In comparison with high-income, the low-income population in the study suffered more from greater than or equal to ten on the PHQ-9 by 4.5 and 3.5 times, respectively. The results of NBRG have shown that people with low-PIR (IRR: 1.30, 95% CI: 1.23-1.37) and medium-PIR (IRR: 1.55, 95% CI: 1.46-1.65) have experienced a higher relative risk ratio of having depressive symptoms. Women have a higher IRR (IRR: 1.29, 95% CI: 1.24-1.34) than men. We observed that depression was concentrated among low-PIR men and women, with a higher concentration among women.

CONCLUSION AND RELEVANCE

Addressing depression should target low-income populations and populations with higher income inequality.

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.

Slovak parents' mental health and socioeconomic changes during the COVID-19 pandemic

The changes in people's mental health have become one of the hot topics during the COVID-19 pandemic. Parents have been said to be among the most vulnerable groups in terms of the imposed anti-pandemic measures. The present paper analyzes the trends in mental health indicators in a sample of Slovak parents (N = 363) who participated in four waves of data collection over a year and a half of the COVID-19 pandemic. The mental health indicators were represented by general levels of depression and anxiety as well as COVID-related stress and anxiety. While there were only minor changes in depression and anxiety, the dynamic in COVID-related stress and especially anxiety was more noteworthy. Besides some exceptions, the results hold even after controlling for the socioeconomic situation. The gender differences in the mental health trends were found to be negligible. Overall, we observed no substantial deterioration in the mental health indicators across the four waves of the study.