Traumatic Distress of COVID-19 and Depression in the General Population: Exploring the Role of Resilience, Anxiety, and Hope.
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ABSTRACT:
SUBMITTER: Nearchou F
PROVIDER: S-EPMC8394400 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BACKGROUND: Depression and anxiety are treatable disorders, yet many people do not seek professional help. Interventions designed to improve help-seeking attitudes and increase help-seeking intentions and behaviour have been evaluated in recent times. However, there have been no systematic reviews of the efficacy or effectiveness of these interventions in promoting help-seeking. Therefore, this paper reports a systematic review of published randomised controlled trials targeting help-seeking attitudes, intentions or behaviours for depression, anxiety, and general psychological distress. METHODS: Studies were identified through searches of PubMed, PsycInfo, and the Cochrane database in November 2011. Studies were included if they included a randomised controlled trial of at least one intervention targeting help-seeking for depression or anxiety or general psychological distress, and contained extractable data on help-seeking attitudes or intentions or behaviour. Studies were excluded if they focused on problems or conditions other than the target (e.g., substance use, eating disorder). RESULTS: Six published studies of randomised controlled trials investigating eight different interventions for help-seeking were identified. The majority of trials targeted young adults. Mental health literacy content was effective (d?=?.12 to .53) in improving help-seeking attitudes in the majority of studies at post-intervention, but had no effect on help-seeking behaviour (d?=?-.01, .02). There was less evidence for other intervention types such as efforts to destigmatise or provide help-seeking source information. CONCLUSIONS: Mental health literacy interventions are a promising method for promoting positive help-seeking attitudes, but there is no evidence that it leads to help-seeking behaviour. Further research investigating the effects of interventions on attitudes, intentions, and behaviour is required.
| S-EPMC3464688 | biostudies-literature
Project description:Little is known about the procedural validity of lay-administered, fully-structured assessments of depressive, anxiety and post-traumatic stress (PTSD) disorders in the general population as determined by comparison with clinical re-appraisal, and whether this differs between current regular substance abusers and others. We evaluated the procedural validity of the Alcohol Use Disorder and Associated Disabilities Interview Schedule, DSM-5 Version (AUDADIS-5) assessment of these disorders through clinician re-interviews.Test-retest design among respondents from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III): (264 current regular substance abusers, 447 others). Clinicians blinded to AUDADIS-5 results administered the semi-structured Psychiatric Research Interview for Substance and Mental Disorders, DSM-5 version (PRISM-5). AUDADIS-5/PRISM-5 concordance was indicated by kappa (?) for diagnoses and intraclass correlation coefficients (ICC) for dimensional measures (DSM-5 symptom or criterion counts). Results were compared between current regular substance abusers and others.AUDADIS-5 and PRISM-5 concordance for DSM-5 depressive disorders, anxiety disorders and PTSD was generally fair to moderate (?=0.24-0.59), with concordance on dimensional scales much better (ICC=0.53-0.81). Concordance differed little between regular substance abusers and others.AUDADIS-5/PRISM-5 concordance indicated procedural validity for the AUDADIS-5 among substance abusers and others, suggesting that AUDADIS-5 diagnoses of DSM-5 depressive, anxiety and PTSD diagnoses are informative measures in both groups in epidemiological studies. The stronger concordance on dimensional measures supports the current movement toward dimensional psychopathology measures, suggesting that such measures provide important information for research in the NESARC-III and other datasets, and possibly for clinical purposes as well.
| S-EPMC5089368 | biostudies-literature
Project description:ObjectivePost-traumatic stress disorder (PTSD) is a severe psychiatric disorder, which might develop after a traumatic event, like cancer diagnosis, and threatens the patient's psychological and/or physiological integrity. Anxiety, depression, and mental distress are known to be common in cancer patients; however, the frequency of PTSD was not investigated thoroughly in this patient group so far. Here, we aim to screen cancer patients for PTSD symptoms and determine a possible correlation with anxiety, depression, and distress.MethodsThe study was performed at the Divisions of Hematology and Oncology of the Medical University of Vienna from 2010 to 2018. Following written consent, patients were asked to fill out the validated self-assessment questionnaire for PTSS-10 and HADS. The study was approved by the institutional ethics committee of the Medical University of Vienna (EC Nr: 2255/2016).ResultsA total of 1017 adult cancer patients (513 male, 504 female) were included in a cross-sectional single-center study. Mean age was 57.6 years (SD 14.4 years); 31.7%, 14.6%, 13.2%, and 27.4% of patients outscored the predefined thresholds for self-assessed cases of PTSD, anxiety, depression, and distress, respectively. Compared with men, women showed a higher prevalence of symptoms for PTSD (38.9% vs 24.5%; P < .001) and anxiety (20.4% vs 8.6%; P < .001). The scores of HADS-A, HADS-D, and the combined HADS score (distress) were significantly correlated with PTSS-10 scores (P < .01). No differences in age were observed among the different score groups.ConclusionThe study shows a significant prevalence as well as a correlation of PTSD symptoms with anxiety, depression, and distress among cancer patients. Findings underscore the necessity of a serious screening for psychiatric disorders, especially in female patients. In order to enable multidisciplinary care for cancer patients and to reduce the burden for psychiatric disorders, interdisciplinary screening and treatment concepts, which take into account gender aspects, are urged.
| S-EPMC6916606 | biostudies-literature
Project description:Background/Objective 'Third-wave' psychotherapies have shown effectiveness for treating psychopathological symptoms such as anxiety and depression. There is burgeoning interest in examining how these therapies' core constructs produce their therapeutic benefits. This study explores the hypothetical mediating effect of resilience in the impact of mindfulness and self-compassion on anxiety and depressive symptoms. Method: Cross-sectional study design. The sample consisted of 860 Spanish general population participants. The measures included the Mindful Attention Awareness Scale (MAAS), the Self-Compassion Scale (SCS-12), the Connor-Davidson Resilience Scale (CD-RISC) and the Goldberg Anxiety and Depression Scale (GADS). Bivariate correlations were calculated, and path analysis models were performed. Results: Significant correlations were found between the study variables, always in the expected direction (all p values <.001). The path analysis models showed significant direct effects of mindfulness and self-compassion on anxiety and depression symptoms, but the only significant indirect effects through resilience were found on depression (MAAS: β = -.05, 95% CI = -.11 to -.02; SCS-12: β = -.06, 95% CI = -.33 to -.07). Conclusions: Resilience might partially mediate the effect of mindfulness and self-compassion on depression, but not on anxiety.
| S-EPMC7957152 | biostudies-literature
Project description:RATIONALE:Psychological resilience is characterized as the ability to respond to extreme stress or trauma or adverse experience successfully. While the relation between public emergencies and psychological distress is well known, research on therelationship between psychological resilience and mental health is very limited during the outbreak of public health emergencies. OBJECTIVE:This research investigated the relationship between psychological resilience and mental health (depression, anxiety, somatization symptoms) among the general population in China. METHOD:Psychological resilience, depression, anxiety, and somatization symptoms of 1770 Chinese citizens were investigated during the epidemic peak of coronavirus disease 2019 (COVID-19) (23rd February 2020 to 2nd March 2020). The analyses were done through the Connor-Davidson Resilience Scale (CD-RISC), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7) scale, and the Patient Health Questionnaire-15 (PHQ-15) scale. RESULTS:The prevalence of depression, anxiety, somatization symptoms was found to be 47.1%, 31.9%, 45.9%, respectively, among all participants. From them, 18.2% showed moderate to severe symptoms of depression, 8.8% showed moderate to severe symptoms of anxiety, and 16.6% showed moderate to severe symptoms of somatization. Psychological resilience was negatively correlated with depression (standardized ? = -0.490, P < 0.001), anxiety (standardized ? = -0.443, P < 0.001), and somatization symptom scores (standardized ? = -0.358, P < 0.001), while controlling for confounding factors. Analysis of the three-factor resilience structure showed that strength and tenacity were correlated with depression (standardized ? = -0.256, P < 0.001; standardized ? = -0.217, P < 0.001), anxiety (standardized ? = -0.268, P < 0.001; standardized ? = -0.147, P < 0.001), and somatization symptoms (standardized ? = -0.236, P < 0.001; standardized ? = -0.126, P < 0.01). CONCLUSIONS:Our results suggest that there is a high prevalence of psychological distresses among the general population at the peak of the COVID-19 epidemic in China, which is negatively correlated with resilience. Psychological resilience represents an essential target for psychological intervention in a public health emergency.
| S-EPMC7388777 | biostudies-literature
Project description:BackgroundAlthough antenatal depression and anxiety (e.g., negative antenatal mental health; NAMH) are individually associated with preterm birth (PTB) and infant neurological impairment, few studies account for comorbidity. Understanding how NAMH impacts PTB and infant neurological functioning by either singular (depression or anxiety) or comorbid status, as well as the way in which these effects can be moderated by additional risk or protective factors (traumatic experiences and trait resiliency) can contribute further understanding of NAMH effects on birth outcomes.MethodsThe sample included 3042 mother-infant dyads from U.S. and South Africa cohorts of the Safe Passage Study (N = 3042). A four-category NAMH variable was created to categorize depression-only, anxiety-only, comorbid, or no NAMH statuses.ResultsThere were no NAMH main effects on PTB, however, anxiety-only and comorbid NAMH increased odds of PTB for mothers with higher rates of traumatic life experiences. Anxiety-only and comorbid NAMH were associated with increased odds of newborn neurological impairment, and the effect of comorbid NAMH was stronger for mothers with higher rates of traumatic experiences. Resiliency decreased odds of neurological impairment for mothers who reported depression-only or anxiety-only NAMH.LimitationsLimitations included potential artefacts of two cohorts that differed in rates of almost all variables, a single time point for measuring NAMH, and lack of pregnancy-specific NAMH measures.ConclusionsEspecially when compared to mothers with no NAMH, comorbidity or singular-condition NAMH statuses associate with negative birth outcomes in nuanced ways, especially when considering additional contexts that may foster or protect against NAMH.
| S-EPMC9373828 | biostudies-literature
Project description:IntroductionPsychological, socio-demographics, and clinical factors play an important role in patients with COVID-19, but their relationship is complex. The network approach might be used to disentangle complex interactions in different systems. Using data from a multicentre, cross-sectional, survey among patients with COVID-19 in Spain (July-November 2020), we investigated the network structure of mental disorders symptoms, social support, and psychological resilience, and changes in network structures according to the presence of a pre-existing mental disorder or hospitalization for COVID-19.MethodsSubjects completed a survey to evaluate sociodemographic characteristics, COVID-19 infection status, resilience, social support, and symptoms of depression, anxiety disorders, post-traumatic stress disorder, panic attacks, and substance use disorder. 2084 patients with COVID-19 were included in the analysis. Network analysis was conducted to evaluate network and bridge centrality, and the network properties were compared between COVID-19 patients with and without a history of lifetime mental disorder, and between hospitalized and non-hospitalized patients.LimitationsGeneralization of our findings may be difficult since differences in network connectivity may exist in different populations or samples.ResultsAnxiety and depression showed high centrality in patients with COVID-19 and anxiety showed the highest bridge influence in the network. Resilience and social support showed a low influence on mental disorder symptoms. Global network estimations show no statistically significant changes between patients with and without pre-existing mental disorders or between hospitalized and non-hospitalized patients.ConclusionsAnxiety might be a key treatment target in patients with COVID-19 since its treatment might prevent other mental health adverse outcomes.
| S-EPMC10276655 | biostudies-literature
Project description:The burden of depression and anxiety in the world is rising. Identification of individuals at increased risk of developing these conditions would help to target them for prevention and ultimately reduce the healthcare burden. We developed a 10-year predictive algorithm for depression and anxiety using the full cohort of over 400,000 UK Biobank (UKB) participants without pre-existing depression or anxiety using digitally obtainable information. From the initial 167 variables selected from UKB, processed into 429 features, iterative backward elimination using Cox proportional hazards model was performed to select predictors which account for the majority of its predictive capability. Baseline and reduced models were then trained for depression and anxiety using both Cox and DeepSurv, a deep neural network approach to survival analysis. The baseline Cox model achieved concordance of 0.7772 and 0.7720 on the validation dataset for depression and anxiety, respectively. For the DeepSurv model, respective concordance indices were 0.7810 and 0.7728. After feature selection, the depression model contained 39 predictors and the concordance index was 0.7769 for Cox and 0.7772 for DeepSurv. The reduced anxiety model, with 53 predictors, achieved concordance of 0.7699 for Cox and 0.7710 for DeepSurv. The final models showed good discrimination and calibration in the test datasets. We developed predictive risk scores with high discrimination for depression and anxiety using the UKB cohort, incorporating predictors which are easily obtainable via smartphone. If deployed in a digital solution, it would allow individuals to track their risk, as well as provide some pointers to how to decrease it through lifestyle changes.
| S-EPMC8414584 | biostudies-literature
Project description:BackgroundThe objectives of the study were to generate normative data for the RS-11 for different age groups for men and women and to further investigate the construct validity and factor structure in the general population.MethodsNationally representative face-to face household surveys were conducted in Germany in 2006 (n = 5,036).ResultsNormative data for the RS-11 were generated for men and women (53.7% female) and different age levels (mean age (SD) of 48.4 (18.0) years). Men had significantly higher mean scores compared with women (60.0 [SD = 10.2] vs. 59.3 [SD = 11.0]). Results of CFA supported a one-factor model of resilience. Self-esteem (standardized β = .50) and life satisfaction (standardized β =.20) were associated with resilience.ConclusionsThe normative data provide a framework for the interpretation and comparisons of resilience with other populations. Results demonstrate a special importance of self-esteem in the understanding of resilience.
| S-EPMC4629910 | biostudies-literature
Project description:BackgroundEvidence on associations between COVID-19 illness and mental health is mixed. We aimed to examine whether COVID-19 is associated with deterioration in mental health while considering pre-pandemic mental health, time since infection, subgroup differences, and confirmation of infection via self-reported test and serology data.MethodsWe obtained data from 11 UK longitudinal studies with repeated measures of mental health (psychological distress, depression, anxiety, and life satisfaction; mental health scales were standardised within each study across time) and COVID-19 status between April, 2020, and April, 2021. We included participants with information available on at least one mental health outcome measure and self-reported COVID-19 status (suspected or test-confirmed) during the pandemic, and a subset with serology-confirmed COVID-19. Furthermore, only participants who had available data on a minimum set of covariates, including age, sex, and pre-pandemic mental health were included. We investigated associations between having ever had COVID-19 and mental health outcomes using generalised estimating equations. We examined whether associations varied by age, sex, ethnicity, education, and pre-pandemic mental health, whether the strength of the association varied according to time since infection, and whether associations differed between self-reported versus confirmed (by test or serology) infection.FindingsBetween 21 Dec, 2021, and July 11, 2022, we analysed data from 54 442 participants (ranging from a minimum age of 16 years in one study to a maximum category of 90 years and older in another; including 33 200 [61·0%] women and 21 242 [39·0%] men) from 11 longitudinal UK studies. Of 40 819 participants with available ethnicity data, 36 802 (90·2%) were White. Pooled estimates of standardised differences in outcomes suggested associations between COVID-19 and subsequent psychological distress (0·10 [95% CI 0·06 to 0·13], I2=42·8%), depression (0·08 [0·05 to 0·10], I2=20·8%), anxiety (0·08 [0·05 to 0·10], I2=0·0%), and lower life satisfaction (-0·06 [-0·08 to -0·04], I2=29·2%). We found no evidence of interactions between COVID-19 and sex, education, ethnicity, or pre-pandemic mental health. Associations did not vary substantially between time since infection of less than 4 weeks, 4-12 weeks, and more than 12 weeks, and were present in all age groups, with some evidence of stronger effects in those aged 50 years and older. Participants who self-reported COVID-19 but had negative serology had worse mental health outcomes for all measures than those without COVID-19 based on serology and self-report. Participants who had positive serology but did not self-report COVID-19 did not show association with mental health outcomes.InterpretationSelf-reporting COVID-19 was longitudinally associated with deterioration in mental health and life satisfaction. Our findings emphasise the need for greater post-infection mental health service provision, given the substantial prevalence of COVID-19 in the UK and worldwide.FundingUK Medical Research Council and UK National Institute for Health and Care Research.
| S-EPMC9560745 | biostudies-literature