Psychological consequences of COVID-19

The Arab COVID-19 Anxiety Syndrome Scale (C-19ASS): COVID-19 anxiety syndrome and psychological symptoms in the Saudi Arabian population

INTRODUCTION

The COVID-19 Anxiety Syndrome Scale (C-19ASS) is a reliable scale assessing dysfunctional coping strategies activated in response to COVID-19 fear and threat. The present study aimed to provide a validation of the Arabic version of the C-19ASS and to explore the association between the C-19ASS and psychological symptoms syndrome.

METHOD

In Study 1, a community sample of 404 participants completed the Arabic version of the C-19ASS and results were subjected to an exploratory factor analysis. In Study 2, a community sample of 903 participants completed the Arabic version of the C-19ASS and a series of measures assessing depressed mood and anhedonia, generalized anxiety and health anxiety. Internal consistency, construct validity and incremental validity were assessed. Associations between C-19ASS and psychological symptoms were assessed.

RESULTS

Factor analysis identified a two-factor solution (i.e., C-19ASS-Perseveration and C-19ASS-Avoidance), and confirmatory factor analysis suggested a two-factor model best fits the data. The Arabic version of the C-19ASS showed good internal consistency, good construct and incremental validity. COVID-19 anxiety syndrome was associated with more severe anxiety symptoms, depressive symptoms and health anxiety. Females had higher levels of COVID-19 anxiety syndrome than males. Participants diagnosed with COVID-19, and those who had experienced loss as a consequence of COVID-19, had higher levels of COVID-19 anxiety syndrome (Perseveration).

CONCLUSIONS

The Arabic version of the C-19ASS appears to be a reliable and valid measure of the COVID-19 anxiety syndrome. The COVID-19 anxiety syndrome could be a suitable therapeutic target to improve psychological recovery during the COVID-19 pandemic among Arabs.

Longitudinal associations of chronic health stress and COVID-19-related anxiety among outpatients with anxiety and mood disorders

BACKGROUND

The 2019 coronavirus (COVID-19) pandemic led to elevated levels of psychological distress on a global scale. Given that individuals with pre-existing physical conditions are at risk for worse COVID-19 outcomes, those dealing with the stress of physical health problems (including knowing someone with health problems) may experience more severe distress during the pandemic.

METHODS

Patients with emotional disorders who completed a diagnostic assessment in the 6 months prior to COVID-19 were surveyed in May-June 2020 on their emotional reactions to COVID-19 (N = 77).

RESULTS

Multiple linear regression was used to test the hypothesis that chronic stress due to having and knowing others with physical health problems would predict COVID-related worries and behaviours, holding pre-COVID levels of depression, anxiety and worry about health constant. Chronic stress surrounding the health of others was significantly associated with experiencing more severe COVID-related worry and behaviours. In comparison, chronic stress due to one's own health problems had weak and non-significant associations with COVID-related worries and behaviours.

CONCLUSIONS

Results indicate that outpatients who report stress about surrounding loved one's health are at risk for experiencing more severe distress during a health pandemic and thus, may benefit from targeted outreach, assessment and intervention.

COVID-19 exposure and depression-anxiety levels among Saudi adults in the Jazan region: a study with a predominantly female and undergraduate sample

Background

The COVID-19 pandemic has caused significant mental health challenges worldwide, as evidenced by numerous studies indicating high levels of depression and anxiety among individuals. However, the extent of mental health disorders following the pandemic and the association between anxiety and depression and COVID-19 exposure levels in the Jazan region of the Kingdom of Saudi Arabia have received little research attention.

Methods

A convenience sample of 377 participants, predominantly female (85.4%) with undergraduate education (74.5%) and Saudi nationality (92.8%), was included in the study. The study utilized a self-administered questionnaire to collect data from participants between 1st August and 8th September 2022. The questionnaire consisted of four parts, including demographic characteristics, COVID-19 exposure, the Patient Health Questionnaire-9 (PHQ-9) for depression assessment, and the Generalized Anxiety Disorders-7 (GAD-7) for anxiety evaluation. Statistical techniques such as descriptive statistics, independent t-tests, ANOVA (Analysis of Variance), and regression analysis were employed to analyze the collected data.

Results

The mean age of the study participants was 30.97 years (SD = 9.072). The mean score for COVID-19 exposure was 2.98 (SD = 1.48). The mean level of depression was 7.83 (SD = 6.43), with 20% of participants experiencing moderate to severe depression. Additionally, the study found that the mean score of anxiety level among participants was 6.75 (SD = 6.57), with 26% of the participants experiencing moderate to severe anxiety. Independent t-test revealed significant differences in mean depression and anxiety scores between participants with varying COVID-19 exposure levels (p = 0.001). The regression analysis demonstrated that anxiety levels were significant predictors of depression (p < 0.001). There is a significant difference in the depression mean between participants with high levels of anxiety (≥10) compared to others with levels <10. Furthermore, significant predictors of anxiety levels included either student or unemployment status (p < 0.001), increased age (≥35) (p = 0.049), female gender (p = 0.009), marital status of not being married, divorced, or widowed (p = 0.004), low monthly income (p = 0.019), and increased depression level (p < 0.001).

Conclusion

This study provides evidence of significant depression and anxiety levels among participants, with higher COVID-19 infection exposure correlating with increased scores for both. Anxiety was identified as a significant predictor of depression. Demographic factors, such as employment status, age, gender, and marital status, played a role in influencing anxiety levels. The findings highlight the need for targeted mental health interventions to address the psychological impact of COVID-19 infection exposure and support affected individuals effectively.

When Eating Intuitively Is Not Always a Positive Response: Using Machine Learning to Better Unravel Eaters Profiles

BACKGROUND

The aim of the present study was to identify eaters profiles using the latest advantages of Machine Learning approach to cluster analysis.

METHODS

A total of 317 participants completed an online-based survey including self-reported measures of body image dissatisfaction, bulimia, restraint, and intuitive eating. Analyses were conducted in two steps: (a) identifying an optimal number of clusters, and (b) validating the clustering model of eaters profile using a procedure inspired by the Causal Reasoning approach.

RESULTS

This study reveals a 7-cluster model of eaters profiles. The characteristics, needs, and strengths of each eater profile are discussed along with the presentation of a continuum of eaters profiles.

CONCLUSIONS

This conceptualization of eaters profiles could guide the direction of health education and treatment interventions targeting perceptual and eating dimensions.

Relationship between depression, anxiety, stress, and SARS-CoV-2 infection: a longitudinal study

Objectives

We aimed to (1) describe the course of the emotional burden (i.e., depression, anxiety, and stress) in a general population sample during the coronavirus pandemic in 2020 and 2021 and (2) explore the association between emotional burden and a serologically proven infection with SARS-CoV-2.

Study design

This longitudinal study involved a sample of community-dwelling persons aged ≥14 years from the general population of South Tyrol (Province of Bolzano-Bozen, Northern Italy). Data were collected at two stages over a 1-year period in 2020 and 2021.

Methods

Persons were invited to participate in a survey on socio-demographic, health-related and psychosocial variables (e.g., age, chronic diseases, Depression Anxiety Stress Scale, DASS-21), as well as in the serological testing for of SARS-CoV-2-specific immunoglobulins.

Results

In 2020, 855 (23.8%) out of 3,600 persons participated; in 2021, 305 (35.7%) out of 855 were tested again. We observed a statistically significant decrease in mean DASS-21 scores for depression, stress, and total scores between 2020 and 2021, yet not for anxiety. Persons with a confirmed SARS-CoV-2-infection between the first and second data collection exhibited increased emotional burden compared to those without SARS-CoV-2-infection. The odds of participants with a self-reported diagnosis of mental disorder for future infection with SARS-CoV-2 was almost four times higher than that of participants without mental disorders (OR:3.75; 95%CI:1.79-7.83).

Conclusion

Our findings support to the hypothesis of a psycho-neuroendocrine-immune interplay in COVID-19. Further research is necessary to explore the mechanisms underlying the interplay between mental health and SARS-CoV-2 infections.

The Italian COVID-19 Anxiety Syndrome Scale: Investigation of the COVID-19 anxiety syndrome and its association with psychological symptoms in an Italian population

INTRODUCTION

The COVID-19 Anxiety Syndrome Scale (C-19ASS) is a quick and reliable scale assessing dysfunctional coping strategies activated in response to COVID-19 fear and threat. The present study aimed to provide a preliminary validation of the Italian version of the C-19ASS and investigated whether the C-19ASS would mediate the relationship between the Big Five personality traits and psychological outcomes.

METHOD

In Study 1, a community sample of 271 participants completed the Italian version of the C-19ASS and results were subjected to a Principal Component Analysis. In study 2, a community sample of 484 participants completed the Italian version of the C-19ASS and a series of measures assessing COVID-19 anxiety, COVID-19 fear, functional impairment, personality traits, depression, generalized anxiety and health anxiety. Internal consistency, concurrent and incremental validity were assessed. Path analyses were run.

RESULTS

Factor analysis identified a two-factor solution (i.e., C-19ASS Perseveration and C-19ASS Avoidance) and confirmatory factor analysis suggested a two-factor model best fits the data. The Italian version of the C-19ASS showed good internal consistency. There was also evidence of convergent validity and incremental validity. Path analyses showed that C-19ASS Perseveration mediates the relationship between emotional stability and psychological symptoms (depression, generalized anxiety and health anxiety).

CONCLUSION

The Italian version of the C-19ASS appears to be a reliable and valid measure of the COVID-19 anxiety syndrome. The COVID-19 anxiety syndrome could be a suitable therapeutic target to reduce psychological symptoms typically linked to pandemic events, such as depression generalized anxiety and health anxiety.

Psychological predictors of treatment adherence among patients with diabetes (types I and II): Modified information-motivation-behavioural skills model

Non-adherence to medical regimens among patients with diabetes is a well-recognized concern in health care. Modified information, motivation, behavioural skills (IMB) model by adding an emotion component to it was tested to explore predictors of treatment adherence among 1,125 Iranian patients with diabetes type I (T1D) and type II (T2D) and due to other medical conditions. The modified IMB model explained 35% of the treatment adherence with large effect-sizes f²  = 0.56 to 0.69. Self-compassion and interpersonal communication between staff and patients (ICSP) were significant predictors of treatment adherence among patients with T1D, T2D and diabetes due to other medical conditions, while both outperformed the other significant predictors of treatment adherence, i.e., illness perception and social support in all groups. Distress intolerance was a significant predictor of treatment adherence only in patients with T2D. In addition, patients, based on their type of diabetes, exhibited different patterns of illness perception in predicting treatment adherence. Among T2D patients and those with diabetes due to other medical conditions, gender (male; only in T2D) and being single were significant predictors of treatment adherence, while age and diabetes duration were not. Finally, the model demonstrated that above and beyond demographic features, self-compassion, interpersonal communication between patients and health care staff, distress intolerance, perceived social support and illness perception were significant predictors of treatment adherence among patients with diabetes.