What about mental health after one year of COVID-19 pandemic? A comparison with the initial peak

Relationships between psychopathological symptoms, pandemic-related stress, perceived social support, and COVID-19 infection history: a network analysis in Chinese college students

Introduction

Previous coronavirus, 2019 (COVID-19) research has applied network analysis to examine relationships between psychopathological symptoms but rarely extended to potential risk and protective factors or the influence of COVID-19 infection history. This study examined complex inter-relationships between psychopathological symptoms, COVID-19-related stressors, perceived social support, and COVID-19 infection history among Chinese university/college students during the peak of fifth pandemic wave using a network analysis approach.

Methods

A Least Absolute Shrinkage and Selection Operator-regularized partial correlation network using Gaussian graphical model was constructed in 1,395 Chinese university/college students in Hong Kong who completed a survey between 15 March and 3 April, 2022. Depressive, anxiety, and acute/traumatic stress symptoms were measured by Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Impact of Event Scale-6, respectively. COVID-19-related stressors and perceived social support were measured. Network differences by COVID-19 infection history (COVID-network vs. no_COVID-network) and network communities were examined.

Results

Our results showed that the most influential nodes were depressed mood, uncontrollable worries, and uncontrollable thoughts about COVID-19. The main bridging symptoms were concentration problems and psychomotor problems. The COVID-network, comprising participants with a history of COVID-19 infection only, was significantly stronger than the no_COVID-network. Perceived social support and stress from conflicts with family/friends formed a unique community with negative cognition and suicidal idea in the COVID-network only.

Conclusion

Our findings indicate that specific interventions targeting interpersonal conflicts and concentration problems as well as facilitating stress buffering effects of social support may represent effective strategies to reduce psychological distress in university/college students during COVID-19 and should be considered for future pandemic preparedness.

The association of changes in leisure-time physical activity on depressive symptoms during Covid-19 in German adults: A longitudinal study

This longitudinal survey assessed preventive and curative antidepressant effects of at least 75 min/week of leisure-time physical activity (LTPA) at different timepoints of the Covid-19 pandemic. We further investigated if high self-regulation skills were associated with higher odds of initiating or maintaining LTPA during the pandemic. Data was collected online from 4253 participants (age: m = 33.65 years, SD = 0.79; 79 % female) during the first quarantine measures in Germany (T1), as well as 4 weeks (T2), and 8 months (T3) later. We performed linear mixed models with changes (T2-T1, T3-T1) in LTPA and baseline major depressive disorder (MDD) as predictors (main effects and interaction effect) and depressive symptoms (at T2, T3) as the primary outcome. We found significant interaction effects of baseline depression and change in LTPA on depressive symptoms at T2 and T3 (p < 0.001). For probable cases of MDD an increasing LTPA to ≥75 min/week (vs. no change, <75 min/week) was associated with less depressive symptoms at T2 and T3 (p = 0.003, d = 0.28). For absence of depression at baseline, remaining at ≥75 min/week of LTPA was associated with less depressive symptoms at T2 and T3 compared to remaining at <75 min/week (p = 0.006, d = 0.11) or decreasing LTPA to <75 min/week (p = 0.018, d = 0.11). Reporting high self-regulation at T1 was associated with higher odds of performing ≥75 min/week of LTPA at T2/T3 (OR = 1.74, p < 0.001). In general, studies report reduced LTPA during Covid-19. To benefit from the reported preventive and interventional effects, further interventions should focus on improving physical activity related self-regulation to identify and overcome barriers for LTPA.

Mental health during the omicron pandemic: A comparison between medical staff and non-medical staff

BACKGROUND

A considerable number of people suffered from mental disorders due to coronavirus disease 2019 (COVID-19). As the virus mutated, the effect of COVID-19 changed. This study intends to compare the mental health between the medical staff and non-medical staff during the Omicron pandemic, and to analyze the relevant risk factors.

METHODS

The cross-sectional study was conducted by a set of online questionnaires, 1246 medical staff and 1246 non-medical staff were selected after a 1:1 propensity score matching. The questionnaires included the demographic characteristics, the Coronavirus Anxiety Scale (CAS), the Center for Epidemiologic Studies Depression Scale (CES-D), the Insomnia Severity Index Scale (ISI), and the Psychological Resilience Scale(CD-RISC).

RESULTS

Compared with medical staff, non-medical staff scored higher on CAS and CES-D (both P < 0.001). Non-medical staff had higher prevalence of anxiety (55.0 % versus 47.3 %; adjusted OR = 1.45, 95 % CI = 1.23-1.70), depression (62.4 % versus 53.4 %; adjusted OR = 1.46, 95 % CI = 1.23-1.73) and insomnia (46.5 % versus 43.4 %; adjusted OR = 1.21, 95 % CI = 1.02-1.43). Multivariate logistic regression analysis showed that being female, being younger than 40 years, having an annual income of <50,000 yuan, paying attention to omicron, in the course of an infection and below bachelor degree influenced anxiety, depression and insomnia of the medical staff and non-medical staff to different degree.

LIMITATIONS AND CONCLUSIONS

This study only collected data through the network. Therefore, the validity was reduced to some extent. The outbreak of the Omicron epidemic posed a significant challenge to public mental health, with non-medical staff at the highest risk for mental health problems.

Pre-pandemic trajectories of depressive symptomatology and their relation to depression during the COVID-19 pandemic: longitudinal study of English older people

BACKGROUND

Although the COVID-19 pandemic has affected depression, evidence of the role of pre-pandemic history of depression remains limited.

AIMS

We investigated how long-term trajectories of depressive symptomatology before the COVID-19 pandemic were related to depression during the pandemic, over and above the latest pre-pandemic depression status. Furthermore, we examined whether those experiencing depression closer to the pandemic were at higher risk during the pandemic.

METHOD

Employing data from waves 4-9 of the English Longitudinal Study of Ageing (2008-2009 to 2018-2019), we used group-based trajectory modelling on 3925 English older adults aged 50+ years to identify distinctive trajectories of elevated depressive symptoms (EDS). Fully adjusted logistic models were then used to examine the associations between trajectories and depression during the COVID-19 pandemic (June-July and November-December 2020).

RESULTS

We identified four classes of pre-pandemic trajectories of EDS. About 5% were classed as 'enduring EDS', 8% as 'increasing EDS', 10% as 'decreasing EDS' and 77% as 'absence of EDS'. Compared with respondents with absence of EDS, those with EDS history were more likely to have depression during the COVID-19 pandemic, particularly those with enduring or increasing EDS in the previous 10 years. Moreover, the frequency of EDS was more crucial in predicting the risks of depression during the pandemic than the timing of the latest episode.

CONCLUSIONS

Trajectories of depressive symptomatology are an important risk factor for older adults' mental health, particularly in the context of crisis. Older people with enduring or increasing EDS should receive particular attention from policy makers when provisioning post-pandemic well-being support.

Hospital admissions due to suicide attempts during the COVID-19 pandemic, a 3-year longitudinal study

The appearance of the SARS CoV-2 virus and the associated COVID-19 pandemic has been associated with the onset of mental disorders in healthy people and the worsening in those with pre-existing mental conditions. One of the areas that has raised the greatest concern is that of suicidality. Most of the published studies have been carried out cross-sectional or with small samples, without stratifying by age and gender. Thus, the aim of this longitudinal research is to study, in a large population sample of around 6,700,000 inhabitants belonging to the entire region of Madrid (Spain), the admissions in psychiatric hospitalization units due to suicidal attempts along 2019, 2020 and 2021. No clear increase in the number of admissions due to suicidality in the total population have been found. In addition, a higher prevalence in admissions among women is verified. Moreover, stratifying by age and gender, a striking and significant increase in hospital admissions due to suicidality has been observed in the group up to 17 years old, from September 2020 until the end of the study. These results highlight the special vulnerability of children and adolescents, specifically girls, and the need for preventive measures in the face of future pandemics.

Dr. Smartphone, can you support my trauma? An informatics analysis study of App Store apps for trauma- and stressor-related disorders

Background

Psychological trauma is prevalent in developed countries, with prevalence rates and treatment needs exceeding health system capacity. As telemedicine and out-of-patient care are promoted, there has been an expansion of digital apps to compliment therapeutic stages in psychological trauma. To date there are no reviews that have compared these apps and their clinical utility. This study aims to identify the availability of trauma- and stressor-related mhealth apps, assess their functionality, and review their therapeutic abilities.

Methodology

The authors conducted a systematic search using an iPhone 13 Pro in the Australian IOS App Store to extract trauma- and stressor-related apps that resulted from the search criteria. A cross-adaptation of the Mobile App Rating Scale (MARS) and the Comprehensive App Evaluation Model (CAEM) were used as a framework to produce the mTrauma App Evaluation Conceptual Model and Informatics Framework. App content descriptors were analysed based on their general characteristics, usability, therapeutic focus, clinical utility, data integration. Following an applicability in concordance with psychological trauma-informed delivery.

Results

A total of 234 apps resulting from the search strategy were screened, with 81 apps that met the inclusion criteria. The majority of apps were marketed to 4+ to 17+ years of age, categorised as 'health and fitness', with the highest target markets observed for adolescents, children, parents, clinicians, and clients. A total of 43 apps (53.1%) contained a trauma-informed specified section, and 37 (45.7%) incorporated a section useful to support trauma-related symptoms. A significant number of apps there was an absence of therapeutic utility (in 32 apps (39.5%)). Most apps were supporting post-traumatic stress disorder-informed, cognitive behavioural therapy and eye movement desensitisation and reprocessing. Provision of psychoeducation, courses, guided sessions, trainings, self-reflection/journaling, symptom management and progress tracking were highly present.

Conclusions

Trauma-informed mobile apps are available in the App Store, expanding in its target market reach and usability, with an increase of creative psychotherapies being introduced alongside conventional modalities. However, based on the app descriptors, the scarcity of evidenced-based testimonials and therapeutic applicability remains questionable for clinical validity. Although mhealth tools are marketed as trauma-related, current available apps employ a multifunctional approach to general psychological symptomatology, through to associated comorbid conditions and emphasizes on passive activity. For higher uptake on user engagement, clinical application and validity, trauma-apps require curated specification to fulfil its role as complimentary psychological treatment.

Mitigating the impact of adolescence isolation on the development of social anxiety: A potential role for oxytocin

Exposure to isolation can lead to the development of social anxiety disorder (SAD), which affects 13% of Americans. There are sex differences in the prevalence of anxiety disorders, as women experience higher rates of SAD relative to men. Importantly, isolation experienced during adolescence increases the likelihood of developing SAD in adulthood. Unfortunately, the current treatments for SAD are only effective in 50–65% of patients. As such, it is critical to identify therapeutic targets for the treatment and prevention of SAD, particularly in women. Here, we discuss the links between childhood isolation and adulthood SAD. Next, we examine the preclinical models used to study the impact of isolation on social anxiety-like behaviors in rodents. Increasing evidence from both clinical and pre-clinical studies suggests oxytocin signaling is a potential target to modify social anxiety-like behaviors. We present the evidence that sex hormones influence the oxytocin system. Finally, we highlight future directions for both clinical and pre-clinical studies to further evaluate the efficacy of oxytocin as a treatment for isolation-induced SAD.