Effects of the COVID-19 pandemic on suicidal ideation in a representative Australian population sample-Longitudinal cohort study

Motivations for suicide attempts and risk factors among youths in Western Iran: A cross-sectional study

Background and Aims

Suicide attempts are a fundamental problem in health care systems and are known for their complex and multifaceted nature. This study aimed to explore the reasons for suicide attempts and to identify associated factors in western Iran.

Methods

In Asadabad, western Iran, a cross-sectional study was carried out between April 2020 and March 2021. A nonrandom sampling method was used to select 110 participants, ages 15-35. Structured questionnaires such as the Beck Anxiety Inventory (BAI), the Beck Depression Inventory (BDI-II), and the Suicide Motivation Scale (IMSA) were used to gather the data. Multiple linear regression, one-way analysis of variance, Pearson's correlation coefficient, and independent t tests were all used in the data analysis.

Results

The majority of participants (59.1%) were female, with a mean age of 25.78 years. The most common reason for suicide attempts (43.6%) was family issues, and the most popular means (66.4%) were pills and medication. Eighty-nine percent of participants had symptoms of depression. The mean scores were calculated for motivation for suicide attempts (32.46 ± 16.11), depression (34.60 ± 20.50), and anxiety (34.14 ± 15.69). The analysis showed that the motivation for suicide attempts and anxiety was greater in single persons than in married and divorced persons (p < 0.05). Motivation for suicide attempts was also greater in low- to middle-income individuals with a history of divorce (p < 0.05). The multiple regression model showed that anxiety, sex, education, and medical history significantly influenced the motivation for suicide attempts (p < 0.001).

Conclusion

The results showed that a wide range of social, economic, and cultural factors and psychiatric disorders, including anxiety and depression, are involved in suicide attempts. This study aimed to design interventions and strategies to prioritize mental health, improve life skills to control stressful events, and focus on high-risk groups (women, married people, people with low education levels, and those with a history of physical and mental illnesses) for suicide prevention in health promotion programs.

Suicidal ideation, suicide plans and suicide attempts among Australian adults: Findings from the 2020-2022 National Study of Mental Health and Wellbeing

OBJECTIVE

This study aimed to describe the epidemiology of suicidal ideation, suicide plans and suicide attempts, examine services received for suicide attempts, and explore the relationship between suicide attempts and self-harm without suicidal intent.

METHODS

We used survey data from the 2020-2022 National Study of Mental Health and Wellbeing, which involved a nationally representative sample of Australian adults aged 16-85 (n = 15,893). Comparisons were made with the 2007 National Study of Mental Health and Wellbeing (n = 8841).

RESULTS

In 2020-2022, the proportions of adults who had experienced suicidal ideation, suicide plans and suicide attempts during their lifetime were 16.6%, 7.5% and 4.9%, respectively. The proportions who had experienced these in the past 12 months were 3.3%, 1.1% and 0.3%. The odds of experiencing suicidal ideation and making a suicide plan were significantly higher in 2020-2022 than in 2007. Groups at heightened risk of suicidal ideation, suicide plans and/or suicide attempts in the previous 12 months were males, young people, people who were gay, lesbian, or bisexual or used some other term to describe their sexual identity, people outside the labour force, people from disadvantaged areas and people with mental disorders. Two-fifths of those who attempted suicide during the previous 12 months did not use health services following their attempt, and two-thirds also self-harmed without suicidal intent.

CONCLUSION

The implications of these findings for the forthcoming National Suicide Prevention Strategy are discussed. Suicidal thoughts and behaviours confer risk for suicide and are significant problems in their own right. Their prevention requires a strong whole-of-government response.

Psychological mechanisms of the development of suicidal ideation: Longitudinal cohort study

INTRODUCTION

This study aimed to investigate the mechanisms of the development of suicidal ideation and its moderating and protective factors. Drawing on the Interpersonal-psychological theory of suicide, we proposed that disruptions to belongingness, in conjunction with tolerance of health risk, may influence the development of suicidal ideation above and beyond psychosocial changes such as disruptions to finances and work.

METHODS

The study involved a longitudinal investigation of an Australian representative sample reporting suicidal ideation fortnightly for 12 weeks between March and June 2020.

RESULTS

The results indicated that participants who reported higher levels of belongingness, mastery, and intolerance of health risk were less likely to experience suicidal ideation and had lower severity of suicidal ideation. Mastery significantly strengthened the negative link between belongingness and the incidence of suicidal ideation, while agreeableness significantly strengthened the negative link between belongingness and the severity of suicidal ideation over time.

CONCLUSION

The findings suggest that supporting effective social connectedness during times of isolation and promoting self-efficacy, mastery, and regulation of risk tolerance, may be crucial for suicide prevention and therapeutic intervention.

How Mental Health and Suicidality Changed during the COVID-19 Pandemic: A Longitudinal Study in the General and Psychiatric Population Illustrating Risk and Protective Factors

The COVID-19 pandemic has led to an increase in psychological distress in the general population, but contrasting results have been shown regarding its impact on psychological symptoms in clinical and non-clinical samples. Consequently, the aim of the present study was to compare in a longitudinal design (September-November 2020 and February-April 2021) the mental health outcomes of a clinical and a control sample and to determine the implications of various risk and protective factors in this regard. A total of 234 participants from the general population and 80 psychiatric patients took part in the present online study using the following measurements: the Brief Symptom Checklist (BSCL); Three-Item Loneliness Scale (TILS); Resilience Scale-13 (RS-13); and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale-Non-Illness (FACIT-Sp Non-Illness). The results show an overall decrease in active suicidal ideation as well as "peace", a subscale of spiritual well-being, as well as increases in passive suicidal activation in the clinical sample, which did not change in the control sample. Psychological symptoms did not significantly change in either group. Significant group effects show an increase in resilience in the clinical sample. Resilience and peace turned out to be protective factors for negative mental health outcomes. However, loneliness, which interestingly increased only in the control sample, was shown to be an overall potential risk factor. Our results highlight the complex implications of the COVID-19 pandemic on the mental health outcomes of different groups in the population, demonstrating the necessity of further research, specifically regarding the risk of active and passive suicidal activation. Highlighted protective factors are discussed in regards to spirituality (i.e., peace), which is not strictly related to religion but rather personal spirituality related to the meaning of situations of one's life, as well as in terms of mental health interventions.

What set some young adults apart during the COVID-19 pandemic? Mental health trajectories, risk and protective factors in an Australian longitudinal study

OBJECTIVE

Evidence suggests that young adults (aged 18-34) were disproportionately impacted by the COVID-19 pandemic, but little is known about their longer-term mental health changes beyond the early pandemic period. This article investigates heterogeneous trajectories of mental health among Australian young adults across 2 years of the pandemic and identifies a broad range of associated risk and protective factors.

METHOD

Young adults (N = 653, Mage = 27.8 years) from the longitudinal Alone Together Study were surveyed biannually between July 2020 and June 2022. Measures assessed anxiety (7-item Generalised Anxiety Disorder scale) and depression (9-item Patient Health Questionnaire) symptoms at Waves 1-4, as well as demographic, psychological, adversity and COVID-19 factors at baseline.

RESULTS

Four and three distinct trajectories of anxiety and depressive symptoms, respectively, were identified through growth mixture modelling. The proportion of participants in each anxiety trajectory were Asymptomatic (45.9%), Mild Stable (17.9%), Moderate-Severe Stable (31.1%) and Initially Severe/Recovering (5.1%). For depression, Mild Stable (58.3%), Moderate-Severe Stable (30.5%) and Reactive/Recovering (11.2%). Baseline factors associated with severe symptom trajectories included a lifetime mental health disorder, pre-pandemic stressful events, identifying as LGBTQIA+ and/or female, and experiencing one or more infection-control measures. Higher household income was protective.

CONCLUSION

Most young adults demonstrated stable trajectories of low or high symptoms during the pandemic, with smaller groups showing initially severe or reactive symptoms followed by marked improvements over time. Vulnerable subgroups (gender- or sexuality-diverse, those with prior adversity or pre-existing mental ill-health) may face ongoing impacts and require targeted psychosocial supports to assist their mental health recovery post-COVID-19 and in the event of future crises.

Efficacy of BrighterSide, a Self-Guided App for Suicidal Ideation: Randomized Controlled Trial

Background

Self-guided digital interventions can reduce the severity of suicidal ideation, although there remain relatively few rigorously evaluated smartphone apps targeting suicidality.

Objective

This trial evaluated whether the BrighterSide smartphone app intervention was superior to a waitlist control group at reducing the severity of suicidal ideation.

Methods

A total of 550 adults aged 18 to 65 years with recent suicidal ideation were recruited from the Australian community. In this randomized controlled trial, participants were randomly assigned to receive either the BrighterSide app or to a waitlist control group that received treatment as usual. The app was self-guided, and participants could use the app at their own pace for the duration of the study period. Self-report measures were collected at baseline, 6 weeks, and 12 weeks. The primary outcome was severity and frequency of suicidal ideation, and secondary outcomes included psychological distress and functioning and recovery. Additional data were collected on app engagement and participant feedback.

Results

Suicidal ideation reduced over time for all participants, but there was no significant interaction between group and time. Similar improvements were observed for self-harm, functioning and recovery, days out of role, and coping. Psychological distress was significantly lower in the intervention group at the 6-week follow-up, but this was not maintained at 12 weeks.

Conclusions

The BrighterSide app did not lead to a significant improvement in suicidal ideation relative to a waitlist control group. Possible reasons for this null finding are discussed.

Education and suicidal ideation in Europe: A systematic review and meta-analysis

BACKGROUND

Understanding predictors of suicidal ideation (SI) is crucial for preventing suicides. Given Europe's high suicide rates and the complex nature of SI, it is essential to also examine social determinants like education as potential risk factors for SI in this region. This systematic review and meta-analysis investigates the association between formal/vocational education and SI in Europe.

METHODS

Electronic databases (PubMed, Web of Science, PsycINFO, PSYNDEX) were searched until November 2022. Included studies involved European populations examining associations between education and SI. Pooled Odds Ratios (OR) with 95 % confidence intervals (CI) were calculated using random-effects models. Heterogeneity was assessed with the heterogeneity variance τ2 and I2 statistic; subgroup analyses were performed based on study characteristics. Risk of bias was assessed using an adaption of the Newcastle-Ottawa Scale.

RESULTS

From 20,564 initial studies, 41 were included in the meta-analysis (outlier-adjusted, 96,809 study participants). A negative, insignificant association (OR = 0.86, 95 % CI: 0.75; 1.00) was observed between education and SI, with significant heterogeneity (τ2 = 0.09, I2 = 73 %). Subgroup analyses indicated that population type, age group, categorization of education, timeframe of SI assessment, and study quality significantly moderated the effect size.

LIMITATIONS

Heterogeneity across studies limits generalizability. The cross-sectional design precludes establishing causal relationships, and social desirability bias may have underestimated the association between education and SI.

CONCLUSIONS

This systematic review and meta-analysis suggests a trend towards a protective effect of education on the emergence of SI in Europe. Future research, preferably with longitudinal study design examining various covariates, should systematically consider educational inequalities in SI.

Resilience and Disaster: Flexible Adaptation in the Face of Uncertain Threat

Disasters cause sweeping damage, hardship, and loss of life. In this article, we first consider the dominant psychological approach to disasters and its narrow focus on psychopathology (e.g., posttraumatic stress disorder). We then review research on a broader approach that has identified heterogeneous, highly replicable trajectories of outcome, the most common being stable mental health or resilience. We review trajectory research for different types of disasters, including the COVID-19 pandemic. Next, we consider correlates of the resilience trajectory and note their paradoxically limited ability to predict future resilient outcomes. Research using machine learning algorithms improved prediction but has not yet illuminated the mechanism behind resilient adaptation. To that end, we propose a more direct psychological explanation for resilience based on research on the motivational and mechanistic components of regulatory flexibility. Finally, we consider how future research might leverage new computational approaches to better capture regulatory flexibility in real time.

Twelve-month suicidal ideation, incidence and persistence among college students pre-pandemic and during the pandemic: A longitudinal study

The present study explored whether there had been significant changes in 12-month suicidal thoughts, incidence, and persistence of suicidal ideation among college students prior to and during the COVID-19 pandemic. Data were drawn from the French portion of the World Mental Health International College student Survey Initiative (WMH-ICS), a prospective cohort survey initiated in 2017. Students who completed both the baseline and one-year follow-up surveys were included (n = 1,216). Lifetime suicidal ideation and behaviors and mental disorders were assessed at baseline, and 12-month suicidal ideation and behaviors were also assessed at one-year follow-up. Logistic regressions were used to determine whether the odds of 12-month suicidal ideation at follow-up was associated with COVID-19 pandemic period while adjusting for lifetime psychopathology. No significant change in the odds of 12-month suicidal ideation was observed during the pandemic when compared to pre-pandemic times. Adjusting for prior psychopathology, 12-month suicidal ideation was not significantly associated with pandemic times, nor was incidence or persistence. No evidence of a significant increase in suicidal thoughts during the pandemic was observed. Longer follow-up periods and larger samples are needed in order to determine whether suicidal ideation and behaviors remain stable in the future.

Prevalence and Risk Factors for Suicidal Ideation Following the COVID-19 Pandemic in Kerman Province: A Cross-Sectional Study

BACKGROUND

Suicidal ideation (SI) serves as an important predictor of suicide. The prevalence of SI has increased following the COVID-19 pandemic. This study aims to investigate the prevalence and risk factors associated with SI after the pandemic in the Kerman province.

METHODS

This cross-sectional study was conducted in 23 counties of the Kerman province between 2021 and 2022. The Beck Scale for Suicidal Ideation (BSSI) was utilized to estimate SI, while multiple logistic regression analysis was employed to examine the impact of various variables on SI.

RESULTS

A total of 1421 individuals (47.7% men, 50.0% women and 2.3% unknown) with an average age of 35.17±9.47 years participated in this study. The estimated prevalence rate of SI was 9.2%, with variations ranging from 0% to 42% across different counties. Individuals with SI exhibited a significantly younger mean age and fewer family members. Furthermore, SI was significantly more prevalent among single participants, unemployed individuals, students, those with a history of mental illness, prior psychiatric medication use, and previous SI. Employed individuals had 87% lower odds of experiencing SI compared to the unemployed. Individuals with a history of prior SI had 239 times higher odds of SI than those without such a history. Additionally, each year increase in age corresponded to an 8.8% decrease in the odds of SI.

CONCLUSION

The high prevalence of SI is concerning, and it is essential to remain vigilant regarding its health and social consequences as the pandemic continues. Therefore, it is imperative to provide enhanced mental health services, particularly targeting at-risk groups.

Facing the pandemic with a smile: the case of Memedical and its impact on cardiovascular professionals

Since its outbreak, the Coronavirus disease 2019 (COVID-19) has profoundly changed the world we were acquainted with. After the first known contact with humankind in Wuhan, China, in December 2019, the reckless spread of such pathogen put the healthcare system to the test, leading to harmful consequences affecting human lives in every aspect. As of February 2022, the death toll amounts to almost 6 million deaths, but the pathogenic profile of SARS-CoV-2 goes way beyond the mere biological interaction between the viral particle and our organism. People had to deal with the severe psychological impact caused by the only available weapon to fight this infection, i.e., social distancing. The human psychological profile has been strained with repercussions we still are unaware of nowadays. Healthcare professionals were among the most hit categories, not only because of the quarantine but above all for the situations they had to bear every day, constantly facing desperation, death, isolation, and rage. In such circumstances, social media represented a powerful shelter, giving people the ability to keep in contact and to feel connected even if miles apart. In our country, the power of communication was strongly emphasized by launching an Italian Facebook group called "Memedical," where members can share ironic memes to feel closer and give a glimmer of happiness in such a challenging moment. Our review highlights the severity of this pandemic's impact, deteriorating the global population's physical and mental health, and shows how wise use of social media can benefit the quality of life.

Prevalence of suicidal ideation and correlated risk factors during the COVID-19 pandemic: A meta-analysis of 113 studies from 31 countries

The purpose of this study was to estimate the prevalence of suicidal ideation and correlated risk factors during the COVID-19 pandemic. Web of Science (WOS) and PubMed were searched according to a pre-set strategy. A total of 132 studies were identified, 104 of which were included in the meta-analysis. The prevalence of suicidal ideation was approximately 14.7% (95%CI: 12.5%, 16.8%, P < 0.01) in the general population, approximately 22.4% (95%CI: 17.1%, 27.8%, P < 0.01）in adolescents, approximately 21.0% (95%CI: 12.8%, 29.2%, P < 0.01) in psychiatric patients, approximately 20.6% (95%CI: 18.7%, 22.5%, P < 0.01）in university students, approximately 18.9% (95%CI: 8.3%, 29.5%, P < 0.01) in younger adults, approximately 10.6% (95%CI: 1.0%, 20.2%, P = 0.031) in COVID-19 patients and approximately 7.4% (95%CI: 4.3%, 10.5%, P < 0.01) in healthcare workers. The prevalence in North America was approximately 16.0% (95%CI: 13.6%-18.4%, P < 0.001), approximately 14.5% in Asia (95%CI: 9.5%-19.4%, P < 0.001), approximately 10.5% in Europe (95%CI: 8.5%-12.4%, P < 0.001), and approximately 20.5% in South America (95%CI: 19.5%-21.5%, P < 0.001). The following were risk factors which might be correlated with suicidal ideation: severe anxiety symptoms, mild to moderate depression, a strong feeling of loneliness/social isolation, poor sleep quality, having COVID-19-related experience, having quarantine or lockdown experience, being female, being single or divorced, having financial problems and having a history of suicidal ideation/attempt. This article reports the prevalence of suicidal ideation and discussing potential risk factors during the pandemic among general population and vulnerable groups. Early detection and follow-up were necessary for the noteworthy population.

A systematic review on suicide because of social isolation/and loneliness: does COVID-19 make a difference?

BACKGROUND

Suicide is a significant cause of death worldwide. Various purposes can explain why people choose to attempt or commit suicide such as mental-health disorders, income-related-factors, quality of life or issues related to social context. This study aims to identify an updated association between 'isolation' and suicides.

METHODS

In this regard, we had made a systematic review of the most recent papers, published from January 2016 to March 2022, thought the most acknowledged databases. This review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews. To the best of our knowledge, this issue is very important due to the indirect relationship between COVID-19 and suicides.

RESULTS

Our analysis demonstrates that suicide and -social isolation and loneliness- have a positive and direct relationship although these findings varied slightly by areas. Moreover, most of the attention is focused on the youth during the most recent period and this is a real problem because economies cannot afford losing (young) population.

CONCLUSIONS

In order to prevent suicides, public policies should prevent suicidal thoughts that it could induce to terminate the lives of individuals in their most productive years and harmful outcomes to their families and friends.

A pilot predictive model based on COVID-19 data to assess suicidal ideation indirectly

The COVID-19 pandemic has had a negative impact on the mental health of the population. Many studies reported high levels of psychological distress and rising rates of suicidal ideation (SI). Data on a range of psychometric scales from 1790 respondents were collected in Slovenia through an online survey between July 2020 and January 2021. As a worrying percentage (9.7%) of respondents reported having SI within the last month, the goal of this study was to estimate the presence of SI, as indicated by the Suicidal Ideation Attributes Scale (SIDAS). The estimation was based on the change of habits, demographic features, strategies for coping with stress, and satisfaction with three most important aspects of life (relationships, finances, and housing). This could both help recognize the telltale factors indicative of SI and potentially identify people at risk. The factors were specifically selected to be discreet about suicide, likely sacrificing some accuracy in return. We tried four machine learning algorithms: binary logistic regression, random forest, XGBoost, and support vector machines. Logistic regression, random forest, and XGBoost models achieved comparable performance with the highest area under the receiver operating characteristic curve of 0.83 on previously unseen data. We found an association between various subscales of Brief-COPE and SI; Self-Blame was especially indicative of the presence of SI, followed by increase in Substance Use, low Positive Reframing, Behavioral Disengagement, dissatisfaction with relationships and lower age. The results showed that the presence of SI can be estimated with reasonable specificity and sensitivity based on the proposed indicators. This suggests that the indicators we examined have a potential to be developed into a quick screening tool that would assess suicidality indirectly, without unnecessary exposure to direct questions on suicidality. As with any screening tool, subjects identified as being at risk, should be further clinically examined.

Suicide and COVID-19: a rapid scoping review

There is considerable interest in exploring effects of coronavirus disease 2019 (COVID-19) pandemic on mental health. Suicide is one of the leading causes of mortality worldwide and changes in daily life brought by the pandemic may be additional risk factors in people with pre-existing mental disorders. This rapid PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) scoping review aims to identify and analyze current evidence about the relation between COVID-19 pandemic outbreak, along with COVID-19 disease and severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection, and suicide in individuals with previously diagnosed mental disorders. First, we conducted a comprehensive review of the literature, then proceeded to discuss findings in a narrative way. Tables were constructed and articles sorted according to the studies' methodologies. 53 papers were eventually identified as eligible, among which 33 are cross-sectional studies, 9 are longitudinal studies, and 11 studies using other methodologies. Despite suffering from a mental disorder is a risk factor for suicidal behavior per se, the advent of COVID-19 pandemic may exacerbate this relation. Nevertheless, data addressing a clear correlation between suicidal behavior and the pandemic outbreak are still controversial. Longitudinal analysis using validated suicide scales and multicenter studies could provide deeper insight and knowledge about this topic.

Suicidal ideation following self-reported COVID-19-like symptoms or serology-confirmed SARS-CoV-2 infection in France: A propensity score weighted analysis from a cohort study

BACKGROUND

A higher risk of suicidal ideation associated with self-report of Coronavirus Disease 2019 (COVID-19)-like symptoms or COVID-19 infection has been observed in cross-sectional studies, but evidence from longitudinal studies remains limited. The aims of this study were 2-fold: (1) to explore if self-reported COVID-19-like symptoms in 2020 were associated with suicidal ideation in 2021; (2) to explore if the association also existed when using a biological marker of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in 2020.

METHODS AND FINDINGS

A total of 52,050 participants from the French EpiCov cohort were included (median follow-up time = 13.7 months). In terms of demographics, 53.84% were women, 60.92% were over 45 years old, 82.01% were born in mainland France from parents born in mainland France, and 59.38% completed high school. COVID-19-like symptoms were defined as participant report of a sudden loss of taste/smell or fever alongside cough, shortness of breath, or chest oppression, between February and November 2020. Symptoms were self-reported at baseline in May 2020 and at the first follow-up in Autumn 2020. Serology-confirmed SARS-CoV-2 infection in 2020 was derived from Spike protein ELISA test screening in dried-blood-spot samples. Samples were collected from October 2020 to March 2021, with 94.4% collected in 2020. Suicidal ideation since December 2020 was self-reported at the second follow-up in Summer 2021. Associations of self-reported COVID-19-like symptoms and serology-confirmed SARS-CoV-2 infection in 2020 with suicidal ideation in 2021 were ascertained using modified Poisson regression models, weighted by inverse probability weights computed from propensity scores. Among the 52,050 participants, 1.68% [1.54% to 1.82%] reported suicidal ideation in 2021, 9.57% [9.24% to 9.90%] had a serology-confirmed SARS-CoV-2 infection in 2020, and 13.23% [12.86% to 13.61%] reported COVID-19-like symptoms in 2020. Self-reported COVID-19-like symptoms in 2020 were associated with higher risks of later suicidal ideation in 2021 (Relative Riskipw [95% CI] = 1.43 [1.20 to 1.69]), while serology-confirmed SARS-CoV-2 infection in 2020 was not (RRipw = 0.89 [0.70 to 1.13]). Limitations of this study include the use of a single question to assess suicidal ideation, the use of self-reported history of mental health disorders, and limited generalizability due to attrition bias.

CONCLUSIONS

Self-reported COVID-19-like symptoms in 2020, but not serology-confirmed SARS-CoV-2 infection in 2020, were associated with a higher risk of subsequent suicidal ideation in 2021. The exact role of SARS-CoV-2 infection with respect to suicide risk has yet to be clarified. Including mental health resources in COVID-19-related settings could encourage symptomatic individuals to care for their mental health and limit suicidal ideation to emerge or worsen.

Two years COVID-19 pandemic: Development of university students' mental health 2020-2022

Background

The literature indicates a negative impact on the mental health of university students during the COVID-19 pandemic. It remains unclear if this negative impact persists even after lockdown measures are lifted. The current study therefore investigates the mental health status of students by drawing on two previous studies the present study seeks to investigate differences in the mental health status across three time points.

Methods

A cross-sectional, anonymous online survey among students of six universities was conducted between April and May 2022 (N = 5,510). Symptoms of depression, anxiety, hazardous alcohol use and eating disorders as well as social and emotional variables were assessed utilizing standardized instruments. Risk- and protective factors for severity of depressive and anxiety symptoms were investigated using multiple regression models. Differences in e.g., symptoms of depression across three time points were assessed with one-way analysis of variance.

Results

More than one third of students exhibited clinically relevant symptoms of depression (35.5%), hazardous alcohol use (33.0-35.5% depending on gender) or anxiety disorder (31.1%). Taken together, almost two out of three (61.4%) students reported clinically relevant symptoms in at least one of the aforementioned symptom patterns, while almost one fifth of students reported suicidal ideation or thoughts of self-harm (19.6%). Higher perceived stress and loneliness significantly predicted higher levels of depressive symptoms, while resilience and social support were identified as protective factors. Compared to 2020 and 2021, levels of depressive symptoms were significantly reduced in 2022, levels of hazardous alcohol consumption showed a small but significant increase from 2021 to 2022. Worryingly, prevalence of suicidal ideation was the highest yet, being significantly higher than in 2020 (14.5%) and 2021 (16.5%).

Conclusion

These results confirm previous results that the pandemic had and still has a negative impact on the mental health of university students. The present study broadens this view by the fact that some areas seem to recover quicker, while others seem to increase worryingly. Especially the persistent rise in suicidal ideation from 2020 to 2021 and to 2022, a constant reduction in reported social support and associated perceived loneliness is concerning. The claim for low-threshold and accessible mental health support for university students remains the same as in the beginning of the pandemic.

A repeated cross-sectional and longitudinal study of mental health and wellbeing during COVID-19 lockdowns in Victoria, Australia

BACKGROUND

Population surveys across the world have examined the impact of the COVID-19 pandemic on mental health. However, few have simultaneously examined independent cross-sectional data with longitudinal data, each of which have different strengths and weaknesses and facilitate the investigation of distinct research questions. This study aimed to investigate psychological distress and life satisfaction during the first and second lockdowns in the state of Victoria, Australia, and the social factors that may be affected by lockdowns and could affect mental health.

METHODS

The VicHealth Victorian Coronavirus Wellbeing Impact Study included two 20-min opt-in online panel surveys conducted in May and September 2020 in Victoria, each with a sample of 2000 adults aged 18 + . A two-part study design was used: a repeated cross-sectional study of respondents who participated in Survey One and Survey Two, followed by a longitudinal nested cohort study. The primary exposures were social solidarity, social connectedness and staying connected with family and friends. Using logistic regression modelling, we explored the associations between our exposures and primary outcomes of psychological distress and life satisfaction with and without adjustment for covariates, both cross-sectionally and longitudinally. The results from the multivariable models were summarised using adjusted Odds Ratios (aOR), 95% Confidence Intervals (CI).

RESULTS

Cross-sectional results indicated that the percentage of participants with low life satisfaction was significantly higher in the second survey sample (53%) compared to the first (47%). The percentage of participants with high psychological distress was higher but not significantly different between the two survey samples (14% first survey vs 16% second survey). Longitudinal study results indicated that lower social connectedness was significantly associated with higher psychological distress (aOR:3.3; 95% CI: 1.3-8.4) and lower life satisfaction (aOR:0.2; 95% CI: 0.1-0.4). Younger adults had higher psychological distress compared to older adults (aOR:6.8; 95% CI:1.5-31.1). Unemployment at the time of the first survey was significantly associated with lower life satisfaction at the second survey (aOR:0.5; 95% CI: 0.3-0.9).

CONCLUSION

This study supports the findings of other international studies. It also highlights the need to promote increased social connection and maintain it at times of isolation and separation, particularly amongst younger adults.

A Cross-Sectional Study on the Prevalence of Depressive Symptoms and Its Associated Sociodemographic Factors in Peru during the COVID-19 Pandemic

The present study aims to analyze the prevalence of depressive symptoms and its sociodemographic-associated factors in Peruvian adults. Data was extracted from a nation-wide representative survey in which depression symptoms were measured with the PHQ-9 and sociodemographic information was extracted from household data. Depression severity rates were estimated for each symptom, and responses were modeled through the Rating Scale Model to obtain a depression measure used as dependent variable on a Generalized Mixed Linear Model. The most frequent depression symptoms were emotional, such as discouragement, sad mood, hopelessness, and lack of pleasure when doing activities. Our model showed that, after controlling the effects of all the variables considered, the most relevant predictors were gender, education level, physiographic region, age, marital status, and number of coresidents. Higher depression levels were found in women, people who did not complete higher education, participants living in the Highlands, older adults, single participants, and people living alone. Thus, interventions to promote or prevent depression severity during similar situations as the pandemic should focus on specific sociodemographic groups and their particular needs.

Trends and prevalence of suicide 2017-2021 and its association with COVID-19: Interrupted time series analysis of a national sample of college students in the United States

BACKGROUND

Suicide is among the leading causes of death for college students. We aimed to assess the impact of the pandemic on trends in suicidal thoughts and behaviors among college students, and whether suicidal thoughts and behaviors were associated with COVID-19 infection and psychosocial factors.

METHODS

We analyzed 2017-2021 data from 4 waves of Healthy Minds Study including a random sample of college students (N = 354,473) from 286 U.S. institutions. We performed interrupted time series analysis to model the effect of the pandemic on trends in suicidal ideation (SI), plan (SP), and attempt (SA). At the peripandemic assessment, we utilized multivariable logistic regression to examine the association of SI, SP, and SA with COVID-19 infection and psychosocial factors.

RESULTS

We observed significant decreases in SI, SP, and SA among college students from 2017 to 2021. The pandemic was significantly associated with a 1.33 percentage points reduction in SI and a 0.85 percentage points reduction in SP but was not associated with a significant reduction in SA. Adjusted associations of SI, SP, and SA with risk factors showed the significant odds ratio (OR) for suspected COVID-19 infection (SI: 1.33, SP: 1.22, SA: 1.32), severe depression (SI: 6.39, SP: 6.63, SA: 5.63), severe anxiety (SI: 3.66, SP: 3.62, SA: 3.60), COVID-19-related financial stress (SI: 1.35, SP: 1.34, SA: 1.48), food insecurity (SI: 2.12, SP: 2.13, SA: 2.79), and academic impairment (SI: 2.07, SP: 2.05, SA: 2.14) but not for test-confirmed COVID-19.

CONCLUSION

Certain COVID-19 mitigation strategies might have protected college students from suicidal thoughts/behaviors.

A one-year longitudinal study on suicidal ideation, depression and anxiety during the COVID-19 pandemic

This longitudinal study aimed to examine the within-person changes in suicidal ideation, depression, and anxiety between the first wave of COVID-19 pandemic and the third wave (i.e., one year later), while nationwide lockdowns were in effect. Among 720 respondents, 4.72% presented suicidal ideation, which appeared unaltered one-year post-pandemic onset, while both depression (21.25% versus 28.06%) and anxiety (12.08% versus 18.47%) increased significantly, adjusting for gender, age, and mental health history. Suicidal ideation, depression, and anxiety during the third pandemic wave were independently associated with crucial socio-demographic, clinical, psychological and psychopathological variables, in the stepwise regression analyses performed.