Development of the Risk Assessment Suicidality Scale (RASS): a population-based study

Non-binary gender, vulnerable populations and mental health during the COVID-19 pandemic: Data from the COVID-19 MEntal health inTernational for the general population (COMET-G) study

BACKGROUND

The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.

METHODS

Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.

RESULTS

The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.

CONCLUSIONS

Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.

LIMITATIONS

Online data collection may have resulted in the underrepresentation of certain population groups.

Students' mental health during the pandemic: results of the observational cross-sectional COVID-19 MEntal health inTernational for university Students (COMET-S) study

Introduction

The aim of the study was to search rates of depression and mental health in university students, during the COVID-19 pandemic.

Materials and methods

This is an observational cross-sectional study. A protocol gathering sociodemographic variables as well as depression, anxiety and suicidality and conspiracism was assembled, and data were collected anonymously and online from April 2020 through March 2021. The sample included 12,488 subjects from 11 countries, of whom 9,026 were females (72.2%; aged 21.11 ± 2.53), 3,329 males (26.65%; aged 21.61 ± 2.81) and 133 "non-binary gender" (1.06%; aged 21.02 ± 2.98). The analysis included chi-square tests, correlation analysis, ANCOVA, multiple forward stepwise linear regression analysis and Relative Risk ratios.

Results

Dysphoria was present in 15.66% and probable depression in 25.81% of the total study sample. More than half reported increase in anxiety and depression and 6.34% in suicidality, while lifestyle changes were significant. The model developed explained 18.4% of the development of depression. Believing in conspiracy theories manifested a complex effect. Close to 25% was believing that the vaccines include a chip and almost 40% suggested that facemask wearing could be a method of socio-political control. Conspiracism was related to current depression but not to history of mental disorders.

Discussion

The current study reports that students are at high risk for depression during the COVID-19 pandemic and identified specific risk factors. It also suggested a role of believing in conspiracy theories. Further research is important, as it is targeted intervention in students' groups that are vulnerable both concerning mental health and conspiracism.

Family Functioning, Illness-Related Self-Regulation Processes, and Clinical Outcomes in Major Depression: A Prospective Study in Greece

Major depressive disorder (MDD) is a common, seriously impairing, and often recurrent mental disorder. Based on the predictions of the Circumplex Model of Marital and Family Systems and the Common-Sense Self-Regulation Model, the aim of the present prospective study is to examine the predictive value of clinical outcomes of a process model in which associations between perceived family functioning and patient's clinical outcomes (i.e., symptom severity and suicide risk) are mediated by illness representations and coping strategies. A total of 113 patients with a clinical diagnosis of MDD (16.8% males and 83.2% females) aged 47.25 ± 13.98 years and recruited from the outpatient department and the mobile mental health unit of the Psychiatric Clinic of the University Hospital of Heraklion in Crete, Greece, and from a Greek online depression peer-support group participated in the study. Family functioning was assessed in terms of cohesion and flexibility (Family Adaptability and Cohesion Evaluation Scales IV) at baseline. Illness representations (Illness Perception Questionnaire-Mental Health) and coping strategies (Brief Cope Orientation to Problems Experienced) were measured about five months later (5.04 ± 1.16 months). Symptom severity (Beck Depression Inventory) and suicidality (Risk Assessment Suicidality Scale) were measured about 10 months after the baseline assessment (9.56 ± 2.52 months). The results indicated that representations about MDD impact and symptom severity serially mediated the association between family cohesion and suicide risk in MDD. Furthermore, family cohesion was found to be linked with maladaptive coping through MDD impact representations. Family-based psychotherapeutic interventions specifically designed to target unhealthy family functioning, along with negative illness perceptions and dysfunctional coping, could be further developed and explored as adjunctive therapy to standard treatment in MDD.

Karakatsoulis G, Abraham S, Adorjan K, Ahmed HU, Alarcón RD, Arai K, Auwal SS, Bobes J, Bobes-Bascaran T, Bourgin-Duchesnay J, Bredicean CA, Bukelskis L, Burkadze A, Cabrera Abud II, Castilla-Puentes R, Cetkovich M, Colon-Rivera H, Corral R, Cortez-Vergara C, Crepin P, de Berardis D, Zamora Delgado S, de Lucena D, de Sousa A, di Stefano R, Dodd S, Elek LP, Elissa A, Erdelyi-Hamza B, Erzin G, Etchevers MJ, Falkai P, Farcas A, Fedotov I, Filatova V, Fountoulakis NK, Frankova I, Franza F, Frias P, Galako T, Garay CJ, Garcia-Álvarez L, García-Portilla P, Gonda X, Gondek TM, Morera González D, Gould H, Grandinetti P, Grau A, Groudeva V, Hagin M, Harada T, Hasan TM, Azreen Hashim N, Hilbig J, Hossain S, Iakimova R, Ibrahim M, Iftene F, Ignatenko Y, Irarrazaval M, Ismail Z, Ismayilova J, Jacobs A, Jakovljević M, Jakšić N, Javed A, Yilmaz Kafali H, Karia S, Kazakova O, Khalifa D, Khaustova O, Koh S, Kopishinskaia S, Kosenko K, Koupidis SA, Kovacs I, Kulig B, Lalljee A, Liewig J, Majid A, Malashonkova E, Malik K, Iqbal Malik N, Mammadzada G, Mandalia B, Marazziti D, Marčinko D, Martinez S, Matiekus E, Mejia G, Memon RS, Meza Martínez XE, Mickevičiūtė D, Milev R, Mohammed M, Molina-López A, Morozov P, Muhammad NS, Mustač F, Naor MS, Nassieb A, Navickas A, Okasha T, Pandova M, Panfil AL, Panteleeva L, Papava I, Patsali ME, Pavlichenko A, Pejuskovic B, Pinto da Costa M, Popkov M, Popovic D, Raduan NJN, Vargas Ramírez F, Rancans E, Razali S, Rebok F, Rewekant A, Reyes Flores EN, Rivera-Encinas MT, Saiz PA, Sánchez de Carmona M, Saucedo Martínez D, Saw JA, Saygili G, Schneidereit P, Shah B, Shirasaka T, Silagadze K, Sitanggang S, Skugarevsky O, Spikina A, Mahalingappa SS, Stoyanova M, Szczegielniak A, Tamasan SC, Tavormina G, Tavormina MGM, Theodorakis PN, Tohen M, Tsapakis EM, Tukhvatullina D, Ullah I, Vaidya R, Vega-Dienstmaier JM, Vrublevska J, Vukovic O, Vysotska O, Widiasih N, Yashikhina A, Prezerakos PE, Berk M, Levaj S, Smirnova D. Results of the COVID-19 mental health international for the health professionals (COMET-HP) study: depression, suicidal tendencies and conspiracism

INTRODUCTION

The current study aimed to investigate the rates of anxiety, clinical depression, and suicidality and their changes in health professionals during the COVID-19 outbreak.

MATERIALS AND METHODS

The data came from the larger COMET-G study. The study sample includes 12,792 health professionals from 40 countries (62.40% women aged 39.76 ± 11.70; 36.81% men aged 35.91 ± 11.00 and 0.78% non-binary gender aged 35.15 ± 13.03). Distress and clinical depression were identified with the use of a previously developed cut-off and algorithm, respectively.

STATISTICAL ANALYSIS

Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses, and Factorial Analysis of Variance (ANOVA) tested relations among variables.

RESULTS

Clinical depression was detected in 13.16% with male doctors and 'non-binary genders' having the lowest rates (7.89 and 5.88% respectively) and 'non-binary gender' nurses and administrative staff had the highest (37.50%); distress was present in 15.19%. A significant percentage reported a deterioration in mental state, family dynamics, and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (24.64% vs. 9.62%; p < 0.0001). Suicidal tendencies were at least doubled in terms of RASS scores. Approximately one-third of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop clinical depression was associated with a history of Bipolar disorder (RR = 4.23).

CONCLUSIONS

The current study reported findings in health care professionals similar in magnitude and quality to those reported earlier in the general population although rates of clinical depression, suicidal tendencies, and adherence to conspiracy theories were much lower. However, the general model of factors interplay seems to be the same and this could be of practical utility since many of these factors are modifiable.

The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study

INTRODUCTION

During the COVID-19 pandemic various degrees of lockdown were applied by countries around the world. It is considered that such measures have an adverse effect on mental health but the relationship of measure intensity with the mental health effect has not been thoroughly studied. Here we report data from the larger COMET-G study pertaining to this question.

MATERIAL AND METHODS

During the COVID-19 pandemic, data were gathered with an online questionnaire from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Anxiety was measured with the STAI, depression with the CES-D and suicidality with the RASS. Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.

STATISTICAL ANALYSIS

It included the calculation of Relative Risk (RR), Factorial ANOVA and Multiple backwards stepwise linear regression analysis RESULTS: Approximately two-thirds were currently living under significant restrictions due to lockdown. For both males and females the risk to develop clinical depression correlated significantly with each and every level of increasing lockdown degree (RR 1.72 and 1.90 respectively). The combined lockdown and psychiatric history increased RR to 6.88 The overall relationship of lockdown with severity of depression, though significant was small.

CONCLUSIONS

The current study is the first which reports an almost linear relationship between lockdown degree and effect in mental health. Our findings, support previous suggestions concerning the need for a proactive targeted intervention to protect mental health more specifically in vulnerable groups.

University students' mental health amidst the COVID-19 pandemic in Georgia

AIMS

We aimed to identify the prevalence of anxiety, depression, and suicidality and identify relevant risk and protecting factors among university students during the COVID-19 pandemic in Georgia.

MATERIALS AND METHODS

We conducted an anonymous online survey (n = 984, convenience sample by approaching all universities in Georgia and some student organizations) using valid instruments (e.g., STAI to assess anxiety, CES-D for depression, and RASS to assess suicidality). We calculated frequencies and prevalence and applied regression analysis and Chi-square tests to identify risk and protecting factors.

FINDINGS

Respondents' mental health had been significantly affected (with a high prevalence of depression (46.7%) and anxiety (79%)) during the pandemic (which coincided with political turmoil and caused an economic crisis) in Georgia. Some of the critical factors affecting mental health were: female sex (p = .000), bad general health condition (anxiety p = .001, depression p = .004), finances (anxiety and depression p < .001), reduced physical activity (anxiety p < .001, depression p = .014), and a history of self-harming (suicidality p < .001). Less family conflicts (anxiety and depression p < .05), absence of nightmares (anxiety and depression p < .001), moderate or low fears of COVID-19 (anxiety p < .001), and lower substance use (anxiety p = .023) were among the potentially protective factors. International students coped better, despite vulnerability. Medical students had a lower risk of depression.

CONCLUSIONS

In the complex socioeconomic context, mental health of students in Georgia suffered a lot during the COVID-19 pandemic, requiring thorough planning and delivery of student support services in higher educational institutions during and after the pandemic.

Modeling Suicidality Risks and Understanding the Phenomenon of Suicidality Under the Loupe of Pandemic Context: National Findings of the COMET-G Study in the Russian Population

BACKGROUND: Suicidality is a complex clinical phenomenon reflecting vulnerability to suicidal behavior which can be explained via the biopsychosocial paradigm and in relationship with a variety of country-specific factors. Data on suicides within the Russian population are inconsistent (from 11.7 up to 25.1 per 100.000), whereas the populations suicidality risks have not been investigated in detail. Suicidality estimates during the multifactorial influence of the COVID-19 pandemic could serve as a basis to learn more about this mental health indicator. METHODS: The current study is a part of the COMET-G international project (40 countries, n=55.589), which represents an analysis of data collected from Russias general population (n=7714, 3312 y.o., 61% female) to estimate suicidality using the Risk Assessment Suicidality Scale (RASS) and its relationships with socio-demographic, clinical, and life-habit characteristics during the COVID-19 pandemic. The evaluation of the statistical data (descriptive statistics, ANOVA, LASSO linear regression, significant at =0.05) was undertaken using TIBCO Statistica. RESULTS: According to the RASS, at least 20.68%, and up to 29.15%, of the general population in Russia demonstrated increased risk of suicidality during the pandemic. Modelling these risks pointed to the key vulnerabilities related to mental and behavioral disorders, such as (i) current severe depression and a history of mental disorders, (ii) bipolar disorder, (iii) use of illicit drugs surprisingly outranking the alcohol misuse, and psychiatric compounds (hypnotics), highlighting sleep quality deterioration, (iv) a history of suicide attempts and self-harm though not self-reported changes in depression in response were predictors of the risk of suicidality, which can be explained by the phenomenon of learned suicidality, a habitual behavioral suicidality pattern completion accumulated over the background. Such (v) socio-demographic indicators as younger age (disregarding the gender factor), a marital status of single, having no children, living with fewer people in the household, a recent increase in family conflicts, increased need for emotional support, decreased need for communication, and not believing in precautionary measures against COVID-19, contributed to the increase of suicidality risk in the context of the pandemic. CONCLUSIONS: The findings of this study revealed new suicide risk factors that should be taken into account in suicidality risk assessments for the Russian population and in the implementation of suicide prevention programs in the region.

Determinants of Anxiety in the General Latvian Population During the COVID-19 State of Emergency

Background

The COVID-19 pandemic and its restrictive public health measures have seriously affected mental health of society. Social, psychological, and health-related factors have been linked to anxiety in the general population.

Aim

We investigate the association of various sociopsychological and health-related determinants of anxiety and identify the predicting factors for anxiety in the general population during the COVID-19 state of emergency from in Latvia.

Methods

We conducted an online survey using a randomized stratified sample of the general adult population in July 2020 for 3 weeks. Anxiety symptoms were measured using the State-Trait Anxiety Inventory (STAI-S). Sociodemographic, health-related, sociopsychological characteristics and suicidality were identified using the structured questionnaire. The statistical analysis included Pearson's chi-square test, post hoc analysis, and binomial logistic regression.

Results

The weighted study sample included 2,608 participants. The mean STAY-S score of the total sample was 22.88 ± 12.25. In the total sample, 15.2% (n = 398) of participants were classified as having anxiety. The odds ratio (OR) of having anxiety was higher in females (OR = 2.44; 95% CI 1.75–3.33) and people who had experienced mental health problems in the past (OR = 1.45; 95% CI 1.03–2.04), had suicide attempt in the past (OR = 1.68; 95% CI 1.08–2.59), were worried about their health status due to COVID-19 (OR = 1.64; 95% CI 1.36–1.16), were worried about stigmatization from others if infected with COVID-19 (OR = 1.18; 95% CI 1.03–1.35), were worried about information regarding COVID-19 from the Internet (OR = 1.24; 95% CI 1.08–1.43), persons who were lonely (OR = 1.90; 95% CI 1.54–2.34), and persons with negative problem orientation (OR = 1.26; 95% CI 1.06–1.51). Protective factors were identified as having good self-rated general health (OR = 0.68, 95 % CI 0.58–0.81), maintaining a daily routine (OR = 0.74, 95 % CI 0.61–0.90), having financial stability (OR = 0.66, 95 % CI 0.55–0.79), and having good psychological resilience (OR = 0.90, 95 % CI 0.87–0.94).

Conclusions

This is the first study to report a prevalence of anxiety in the general population of Latvia. Certain factors that predict anxiety, as well as protective factors were identified.

Mental health and conspirasism in health care professionals during the spring 2020 COVID-19 lockdown in Greece

INTRODUCTION

The aim of the study was to investigate mental health and conspiracy theory beliefs concerning COVID-19 among health care professionals (HCPs).

MATERIAL AND METHODS

During lockdown, an online questionnaire gathered data from 507 HCPs (432 females aged 33.86 ± 8.63 and 75 males aged 39.09 ± 9.54).

STATISTICAL ANALYSIS

A post-stratification method to transform the study sample was used; descriptive statistics were calculated.

RESULTS

Anxiety and probable depression were increased 1.5-2-fold and were higher in females and nurses. Previous history of depression was the main risk factor. The rates of believing in conspiracy theories concerning the COVID-19 were alarming with the majority of individuals (especially females) following some theory to at least some extend.

CONCLUSIONS

The current paper reports high rates of depression, distress and suicidal thoughts in the HCPs during the lockdown, with a high prevalence of beliefs in conspiracy theories. Female gender and previous history of depression acted as risk factors, while the belief in conspiracy theories might act as a protective factor. The results should be considered with caution due to the nature of the data (online survey on a self-selected but stratified sample).

Suicidality Related to the COVID-19 Lockdown in Romania: Structural Equation Modeling

Background

Suicidality is a serious public health concern at a global scale. Suicide itself is considered to be preventable death; worldwide, suicide rates and their trends are under constant scrutiny. As part of the international COMET-G cross-sectional study, we conducted a national level investigation to examine the individual disturbances (such as anxiety, depression, or history of life-threatening attempts) and contextual factors (such as adherence to conspiracy theories or Internet use) associated with suicidality related to the COVID-19 lockdown in a lot of Romanian adults.

Participants and Methods

One thousand four hundred and forty-six adults responded to an anonymous on-line questionnaire, with mean age ± standard deviation of 47.03 ± 14.21 years (1,142 females, 292 males, 12 identified themselves as non-binary). Data were analyzed using descriptive statistics and structural equation modeling (SEM).

Results

Univariate analysis showed strong significant correlation between anxiety and depression scorings among the respondents (Spearman R = 0.776, p < 0.001). Both the suicidality scorings and the Internet use correlated fairly with anxiety and depression, with two-by-two Spearman coefficients between R = 0.334 and R = 0.370 (p < 0.001 for each). SEM analysis substantiated the emotional disturbances, previous life-threatening attempts, and younger age as significant predictors for suicidality. The patterns of reality reading (including religious inquiries, Internet use, and beliefs in conspiracy theories) did not reach the statistical significance as influential factors in the suicidality of these respondents. There was no covariance between the Internet use and belief in conspiracy theories.

Conclusion

The study confirmed the suicidality risk initially hypothesized as being associated with the history of life-threatening attempts, increased depression within the younger population, and higher anxiety during the first year of the COVID-19 pandemic and its related lockdown. National strategies for effective interventions at various levels of the healthcare system should be developed.

COVID-19 Pandemic: The Impact of COVID-19 on Mental Health and Life Habits in the Canadian Population

OBJECTIVES

The study aims to investigate the rate of clinical depression in the adult population during the COVID-19 pandemic, as well as the changes in anxiety, distress, suicidal ideation, and their relations with several personal and interpersonal/social variables.

METHODS

This is an epidemiological, non-interventional study. It is part of an international multi-center study, with the main site at the Aristotle University of Thessaloniki, in Greece (COMET-G Study). We are presenting aspects of the research involving the Canadian site, based on 508 Canadian responders to the online survey (QAIRE).

RESULTS

Of the 508 responders, 72.2% were females aged 42.57 ± 14.00 years; 27.2% were males aged 42.24 ± 15.49 years; and 0.6% were others aged 46.33 ± 17.79 years. Increased anxiety during the lockdown was reported by 69.3% of those surveyed. The rate of suicidal thoughts increased in 19.5% of participants during the lockdown. Depression was reported by 22% of responders, while distress was present in 18.4%. We found a greater prevalence of depression, but not distress, in individuals with a history of any mental disorder. Based on the multiple regression analysis, we found four CORE factors equally influencing the changes in mental health during the lockdown (gender, quality of sleep, family conflicts, and changes in daily routine). In the Canadian population, two major changes acted as protective factors, significantly expressed when compared with the worldwide tendencies: fewer financial difficulties; and an increase in religious beliefs.

CONCLUSION

The rate of major depression, distress, and suicidal ideation was higher in Canadians than in the worldwide population (per COMET-G), but the relative risk to develop depression in the presence of a history of mental disorders was lower. Almost 90% of Canadians believed in the real story of COVID source of provenience.

Psychoactive substance use, internet use and mental health changes during the COVID-19 lockdown in a French population: A study of gender effect

INTRODUCTION

COVID-19 has enormous impacts on each individual. The goals of our study were (1) to assess the rate of internet and psychoactive substance use, clinical depression and anxiety in a French population during the lockdown (2) to study the role of clinical and socio-demographic variables (especially, gender).

MATERIALS AND METHODS

During lockdown, an online anonymous questionnaire was used to assess socio-demographic and health data, previous psychiatric history, anterior and current internet and psychoactive substance use, current anxiety, depression and suicidal ideation. The associations of socio-demographic, clinical variables with anxiety, depression, internet or psychoactive substance use were examined.

RESULTS

The study included 263 participants (aged 38.1 ± 15.3-197 males and 64 females). During the lockdown, internet use increased in 14.4% of cases, alcohol use in 20.2%, and tobacco use in 6.8%. In contrast, more participants reported a decrease in alcohol, tobacco or illicit drug use (25.9, 24, and 27.8% respectively). Anxiety was reported in 62.4% and depression in 20.2% of cases; 29.7% of participants reported an increase in anxiety and 25.5% an increase in depression. Depression was associated with an increase in internet and tobacco use. Tobacco and alcohol use were positively associated and an increase in use was more frequent in previous users of both substances. Maintaining a daily routine and relationships with family, being self-employed were associated to lower risks of depression and anxiety.

CONCLUSION

Higher rates of internet use, as well as depression and anxiety, were observed during the lockdown. Gender was not a significant associated factor.

Results of the COVID-19 mental health international for the general population (COMET-G) study

INTRODUCTION

There are few published empirical data on the effects of COVID-19 on mental health, and until now, there is no large international study.

MATERIAL AND METHODS

During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.

STATISTICAL ANALYSIS

Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables.

RESULTS

Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed.

CONCLUSIONS

The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.

Assessment and Associations between Quality of Life and Risk of Suicide

Abstract This study aimed to verify the extent to which the levels of quality of life are related to and influence suicide risk indices. A descriptive, correlational, quantitative research was performed. A non-probabilistic sample was used which was composed of 11,863 Brazilian participants all over 18 years old, who responded to the Risk Assessment Suicide Scale (RASS) and the World Health Organization Quality of Life BREF Instrument (WHOQOL-BREF), and whose data were analyzed by using descriptive statistics, the Spearman correlation and multiple linear regression using the Statistical Package for Social Sciences (SPSS). The results identify negative, moderate and significant correlations between the constructs, and that the domains of quality of life influence 47.8% of the variations in the suicide risk indices, confirming that the psychological domain is the most relevant within the explanatory model created. The conclusion is that there is a the need for public policies to improve the quality of life and prevent suicide.

Suicidal behaviour amid first wave of COVID-19 pandemic in Malaysia: Data from the COVID-19 mental health international (COMET-G) study

During the COVID-19 pandemic, numerous social and life changes were implemented to curb the spread of the disease. The effect of lockdown and isolation predisposes the general population to various psychological health concerns. The existing determinants of suicidal behaviour were further added with social isolation, financial stress, depression, and other pandemic-related stressors. Hence, our study aimed to investigate suicidal behaviour and the associated factors among Malaysians during the COVID-19 pandemic. It is a cross-sectional online questionnaire survey that used convenient sampling, where the survey was disseminated to the public via Google Forms through social media during the first wave of the COVID-19 pandemic in Malaysia. This study is also part of a large international COVID-19 mental health international study for the general population (COMET-G). This research revealed concerns about issues related to suicidal behaviours during the beginning of the COVID-19 pandemic. Suicidal behaviours were associated with depression, sex, marital status, educational level, employment type, residential area, number of people living together, number of children, and family dynamics. The pandemic effects from psychological, social, and economic perspectives will definitely take more time for recovery. Future prevention and protection are needed especially for the highly at-risk group on top of the general population in any future unforeseen circumstances of the pandemic.

Factors related to depression, distress, and self-reported changes in anxiety, depression, and suicidal thoughts during the COVID-19 state of emergency in Latvia

PURPOSE

Evidence suggests that the 2020 COVID-19 pandemic might have deleterious effects on the population's mental health and psychiatric outcomes. We examined the prevalence of depression, distress, and suicidal thoughts and their association with social and economic factors during the state of emergency in a nationwide representative sample of the general population in Latvia.

MATERIALS AND METHOD

An online survey was conducted using a randomized stratified sample of the general adult population in July 2020 for 3 weeks. Distress, depression, suicidal thoughts, and self-reported changes in mental health were identified using a structured questionnaire. The statistical analysis included chi-square tests, analyses of variance, and multivariate forward-stepwise linear regressions.

RESULTS

The study sample included 2608 respondents. Clinical depression was present in 5.75% and distress in 7.82%. Suicidal thoughts increased in 13.30% of those with a history of clinical depression, and 27.05% of those with a history of suicidal attempts. The variables that were associated with increases in self-reported anxiety, depressive thoughts, suicidal ideation, and being currently depressed/distressed included lower general health, increased fears of contracting COVID-19 or having family members contract it and die, history of suicidality, increased family conflicts, decreased religiosity, caring for a vulnerable person. Protective factors included positive changes in family relationships and economic situation, maintaining one's basic routine, and having more people living in the household.

CONCLUSIONS

Further research and interventions should focus specifically on these factors. The study's findings can help to develop future strategies for management of psychological support for different groups in general population.

The hidden crisis: COVID-19 and impact on mental health of medical students in Pakistan

Background

Medical students have faced an enormous disruption to their lives due to the COVID-19 pandemic. The study aimed to assess the impact of COVID-19 on medical student’s psychological well-being in Pakistan. Following ethical approval, an online survey developed in collaboration with World Psychiatric Association (WPA) was distributed among medical students of 5 Medical colleges in the Punjab province of Pakistan between August and September 2020. Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and Risk Assessment Suicidality Scale (RASS) were used to assess psychological well-being. Data was analyzed using SPSS 26.0.

Results

Eleven hundred medical students responded, 756 (69%) being females. More than 2/3rd admitted that their emotional state got worse in relation to appearance of anxiety, insecurity, and sadness, compared to before the outbreak of COVID-19. Prevalence of anxiety and depressive symptoms were 48.6% and 48.1%, respectively. Female medical students, pre-clinical students, and those with a previous psychiatric history reported experiencing more anxiety and depression symptoms (P value < 0.001). One in five medical students thought that it would be better if they were dead, and 8% admitted to often think of committing suicide during the past 2 weeks. RASS and subscales (intention, life, and history) scores were higher in females and students with previous psychiatric problems.

Conclusion

Our findings underscore that the impact of COVID-19 on medical students has been significant; hence, it is crucial for medical colleges to employ strategies to maintain the student’s well-being with safeguards like reassurance, support, and confidential student-centered psychiatric services. The use of virtual platforms (websites, email) to educate and screen students by staff members can create a positive impact. The limitations of this study include cross-sectional design, the possibility of selective participation being web-based survey, response bias, and the possibility of reluctance of students to report mental health problems due to stigma.

Self-reported changes in anxiety, depression and suicidality during the COVID-19 lockdown in Greece

INTRODUCTION

There are only a few published empirical data on COVID-19's effects on the mental health.

MATERIAL AND METHODS

During lockdown, an online questionnaire registered demographic, health data, previous psychiatric history, current anxiety, depression and suicidality, believing in conspiracy theories and other domains. Data from 3399 persons were used (81.08% females; aged 34.02 ± 9.72 and 18.27% males; aged 36.38±10.33). Distress and clinical depression were identified with the use of cut-off and a previously developed algorithm respectively.

STATISTICAL ANALYSIS

A post-stratification method was used; descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables.

RESULTS

Clinical depression was present in 9.31% of the stratified sample, while 8.5% had severe distress; increased anxiety was present in more than 45%. Suicidal thoughts increased in 10.40% and decreased in 4.42%. Beliefs in conspiracy theories were widely prevalent; at least half of cases were following various misconceptions. A model for the development of depression was created with general health status, previous history of depression, self-harm and suicidal attempts, family responsibility, economic change, and age acting as risk factors, while keeping a daily routine, pursuing religiousness/spirituality, and believing in conspiracy theories acting as protective factors.

CONCLUSIONS

The model developed here revealed multiple vulnerabilities and an interplay leading from simple anxiety to clinical depression and suicidality through distress. This could be of practical utility since most of these factors are modifiable. Future research, as well as interventions, should focus specifically on them.

The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: a living systematic review

Background: The COVID-19 pandemic has caused morbidity and mortality, as well as, widespread disruption to people's lives and livelihoods around the world. Given the health and economic threats posed by the pandemic to the global community, there are concerns that rates of suicide and suicidal behaviour may rise during and in its aftermath. Our living systematic review (LSR) focuses on suicide prevention in relation to COVID-19, with this iteration synthesising relevant evidence up to June 7 th 2020. Method:  Automated daily searches feed into a web-based database with screening and data extraction functionalities. Eligibility criteria include incidence/prevalence of suicidal behaviour, exposure-outcome relationships and effects of interventions in relation to the COVID-19 pandemic. Outcomes of interest are suicide, self-harm or attempted suicide and suicidal thoughts. No restrictions are placed on language or study type, except for single-person case reports. Results: Searches identified 2070 articles, 29 (28 studies) met our inclusion criteria, of which 14 articles were research letters or pre-prints awaiting peer review. All articles reported observational data: 12 cross-sectional; eight case series; five modelling; and three service utilisation studies. No studies reported on changes in rates of suicidal behaviour. Case series were largely drawn from news reporting in low/middle income countries and factors associated with suicide included fear of infection, social isolation and economic concerns.   Conclusions:  A marked improvement in the quality of design, methods, and reporting in future studies is needed. There is thus far no clear evidence of an increase in suicide, self-harm, suicidal behaviour, or suicidal thoughts associated with the pandemic. However, suicide data are challenging to collect in real time and economic effects are evolving. Our LSR will provide a regular synthesis of the most up-to-date research evidence to guide public health and clinical policy to mitigate the impact of COVID-19 on suicide. PROSPERO registration: CRD42020183326 01/05/2020.

The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: update of living systematic review

Background: The COVID-19 pandemic has caused considerable morbidity, mortality and disruption to people's lives around the world. There are concerns that rates of suicide and suicidal behaviour may rise during and in its aftermath. Our living systematic review synthesises findings from emerging literature on incidence and prevalence of suicidal behaviour as well as suicide prevention efforts in relation to COVID-19, with this iteration synthesising relevant evidence up to 19 th October 2020. Method:  Automated daily searches feed into a web-based database with screening and data extraction functionalities. Eligibility criteria include incidence/prevalence of suicidal behaviour, exposure-outcome relationships and effects of interventions in relation to the COVID-19 pandemic. Outcomes of interest are suicide, self-harm or attempted suicide and suicidal thoughts. No restrictions are placed on language or study type, except for single-person case reports. We exclude one-off cross-sectional studies without either pre-pandemic measures or comparisons of COVID-19 positive vs. unaffected individuals. Results: Searches identified 6,226 articles. Seventy-eight articles met our inclusion criteria. We identified a further 64 relevant cross-sectional studies that did not meet our revised inclusion criteria. Thirty-four articles were not peer-reviewed (e.g. research letters, pre-prints). All articles were based on observational studies. There was no consistent evidence of a rise in suicide but many studies noted adverse economic effects were evolving. There was evidence of a rise in community distress, fall in hospital presentation for suicidal behaviour and early evidence of an increased frequency of suicidal thoughts in those who had become infected with COVID-19. Conclusions:  Research evidence of the impact of COVID-19 on suicidal behaviour is accumulating rapidly. This living review provides a regular synthesis of the most up-to-date research evidence to guide public health and clinical policy to mitigate the impact of COVID-19 on suicide risk as the longer term impacts of the pandemic on suicide risk are researched.

University students' mental health amidst the COVID-19 quarantine in Greece

The COVID-19 hit also Greece but due to early measures and their exceptional success, the death toll is one of the lowest in the world. Here we report the results from the analysis of the responses to an online survey, from the first 1000 university students, concerning the impact of the lockdown on their mental health. Overall, there was a 'horizontal' increase in scores; 42.5% for anxiety, 74.3% for depression, and 63.3% increase in total suicidal thoughts. Quantity of sleep increased in 66.3% but quality worsened in 43.0%. Quality of life worsened in 57.0% (same in 27.9%). There was a 25-3 fold increase in possible clinical cases of depression and an almost 8-fold increase in suicidal thoughts. Almost a third accept and one fifth are open to conspiracy theories concerning COVID-19. To our knowledge this is the first study reporting data concerning the impact of lockdown and quarantine on the mental health of university students. While the acute impact seems clear, the long-term consequences are unknown and although suicidal thoughts have risen substantially, it seems unlikely this will result in deaths. However, the results constitute a clear message that vulnerable populations are at a need for specific interventions concerning their mental health issues.

Validation of the Korean Depressive Symptom Inventory-Suicidality Subscale

OBJECTIVE

The present study aimed to validate a Korean version of the self-report Depressive Symptom Inventory-Suicidality Subscale (DSI-SS).

METHODS

553 South Korean undergraduate students (aged 18-34 years, 74.8% females) completed questionnaires. Participants completed Korean versions of the self-report Depressive Symptom Inventory-Suicidality Subscale (DSI-SS), Beck Depression Inventory-II (BDI-II), Insomnia Severity Index (ISI), Beck Scale for Suicide Ideation (BSS), and a measure of suicide-related symptom history.

RESULTS

Results indicated that the DSI-SS demonstrated excellent internal consistency (α=0.93) and strong convergent validity with the BDI (r=0.57, p<0.01), ISI (r=0.27, p<0.01), and BSS (r=0.70, p<0.01). DSI-SS scores also significantly differentiated between those reporting a history of suicide attempts compared to non-suicide attempters [t (38.80)=-3.28, p<0.05].

CONCLUSION

Given the brevity of this measure, and evidence for its validity, the Korean version of the DSI-SS may be particularly promising for clinical and empirical use as a screening tool among South Korean undergraduates.

The relationship of the perceived impact of the current Greek recession with increased suicide risk is moderated by mental illness in patients with long-term conditions

OBJECTIVE

Adverse life events may contribute to the emergence of suicidality. We aimed to test the relationship between the impact of the Greek recession and suicidal risk in people with long-term conditions (LTCs) and to determine whether this relationship is moderated by the presence of a mental disorder.

METHODS

Suicidal risk (RASS) and crisis parameters were assessed in a cross-sectional survey including 376 patients with LTCs (type-II diabetes mellitus, rheumatological disorders and chronic obstructive pulmonary disease) attending the Emergency Department or specialty clinics. A diagnosis of mental disorder was confirmed by the Mini International Neuropsychiatric Interview (MINI) interview. Hierarchical regression models were used to quantify moderator effects.

RESULTS

Suicidal risk was significantly associated with the perceived impact of the recession (p=0.028). However, moderation analysis showed that this relationship was significant only in those diagnosed with either major depressive disorder or generalized anxiety disorder.

CONCLUSIONS

These findings suggest that the perceived impact of the current Greek recession is not correlated with suicidal risk per se, but the recession may act as precipitator in combination with other risk factors, such as the presence of a mental illness, thus supporting the importance of early diagnosis and treatment of mental disorders in vulnerable groups.

The Greek-Orthodox version of the Brief Religious Coping (B-RCOPE) instrument: psychometric properties in three samples and associations with mental disorders, suicidality, illness perceptions, and quality of life

BACKGROUND

The B-RCOPE is a brief measure assessing religious coping. We aimed to assess the psychometric properties of its Greek version in people with and without long-term conditions (LTCs). Associations between religious coping and mental illness, suicidality, illness perceptions, and quality of life were also investigated.

METHODS

The B-RCOPE was administered to 351 patients with diabetes, chronic pulmonary obstructive disease (COPD), and rheumatic diseases attending either the emergency department (N = 74) or specialty clinics (N = 302) and 127 people without LTCs. Diagnosis of mental disorders was established by the MINI. Associations with depressive symptom severity (PHQ-9), suicidal risk (RASS), illness perceptions (B-IPQ), and health-related quality of life (WHOQOL-BREF) were also investigated.

RESULTS

The Greek version of B-RCOPE showed a coherent two-dimensional factor structure with remarkable stability across the three samples corresponding to the positive (PRC) and negative (NRC) religious coping dimensions. Cronbach's alphas were 0.91-0.96 and 0.77-0.92 for the PRC and NRC dimensions, respectively. Furthermore, NRC was associated with poorer mental health, greater depressive symptom severity and suicidality, and impaired HRQoL. In patients with LTCs, PRC correlated with lower perceived illness timeline, while NRC was associated with greater perceived illness consequences, lower perceived treatment control, greater illness concern, and lower illness comprehensibility.

CONCLUSIONS

These findings indicate that the Greek-Orthodox B-RCOPE version may reliably assess religious coping. In addition, negative religious coping (i.e., religious struggle) is associated with adverse illness perceptions, and thus may detrimentally impact adaptation to medical illness. These findings deserve replication in prospective studies.

Double RASS cutpoint accurately diagnosed suicidal risk in females with long-term conditions attending the emergency department compared to their male counterparts

BACKGROUND

Suicidal risk is often unrecognized in emergency department (ED). We aimed to assess its prevalence in patients with long-term conditions (LTCs) attending an ED and to test whether gender differences influence suicidal risk assessment, using the diagnostic accuracy properties of the Risk Assessment Suicidality Scale (RASS).

METHODS

The RASS was administered to 349 patients with diabetes, COPD and rheumatic diseases visiting an ED. The MINI interview was used as the criterion standard. ROC curve analysis was performed to determine the optimal RASS cutpoint for suicidal risk separately for males and females. Somatic (PHQ-15) and depressive (PHQ-9) symptoms were also assessed and factors associated with suicidal risk across gender were determined in hierarchical regression models.

RESULTS

The prevalence of suicidal risk according to the MINI was 22.9%; 16.6% of patients were at low, 5.1% at moderate, and 0.9% at high risk. At an optimal cutpoint of 270, RASS had 81.3% sensitivity and 81.8% specificity. The optimal RASS cutpoint for females (340) was double the cutpoint for males (175). Somatic symptom burden was associated with suicidal risk in both sexes but it became non-significant after depressive symptoms were taken into account; suicidal risk was also associated with history of depression in females and lower income in males.

CONCLUSION

There is a high prevalence of suicidal risk in patients with LTCs attending the ED. As the optimal RASS cutpoint for females was double the cutpoint for males, clinicians should bear in mind gender differences when assessing for suicidal risk in the ED.

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

BACKGROUND

Although physical illnesses, routinely documented in electronic medical records (EMR), have been found to be a contributing factor to suicides, no automated systems use this information to predict suicide risk.

OBJECTIVE

The aim of this study is to quantify the impact of physical illnesses on suicide risk, and develop a predictive model that captures this relationship using EMR data.

METHODS

We used history of physical illnesses (except chapter V: Mental and behavioral disorders) from EMR data over different time-periods to build a lookup table that contains the probability of suicide risk for each chapter of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes. The lookup table was then used to predict the probability of suicide risk for any new assessment. Based on the different lengths of history of physical illnesses, we developed six different models to predict suicide risk. We tested the performance of developed models to predict 90-day risk using historical data over differing time-periods ranging from 3 to 48 months. A total of 16,858 assessments from 7399 mental health patients with at least one risk assessment was used for the validation of the developed model. The performance was measured using area under the receiver operating characteristic curve (AUC).

RESULTS

The best predictive results were derived (AUC=0.71) using combined data across all time-periods, which significantly outperformed the clinical baseline derived from routine risk assessment (AUC=0.56). The proposed approach thus shows potential to be incorporated in the broader risk assessment processes used by clinicians.

CONCLUSIONS

This study provides a novel approach to exploit the history of physical illnesses extracted from EMR (ICD-10 codes without chapter V-mental and behavioral disorders) to predict suicide risk, and this model outperforms existing clinical assessments of suicide risk.

Risk factors for suicide in bipolar disorder: a systematic review

BACKGROUND

Bipolar disorder confers the highest risk of suicide among major psychological disorders. The risk factors associated with bipolar disorder and suicide exist and are relevant to clinicians and researchers.

OBJECTIVE

The aim of the present study was to conduct a systematic review of articles regarding the suicide risk factors in bipolar disorder.

METHODS

A systematic review of articles on suicide risk factors in bipolar disorder, published from January 1, 2010 to April 05, 2014, on SCOPUS and PUBMED databases was carried out. Search terms were "Suicide" (medical subject headings [MeSH]), "Risk factors" (MeSH), and "Bipolar" (keyword). Of the 220 retrieved studies, 42 met the eligibility criteria.

RESULTS

Bipolar disorder is associated with an increased rate death by suicide which contributes to overall mortality rates. Studies covered a wide range of aspects regarding suicide risk factors in bipolar disorder, such as risk factors associated to Sociodemographic conditions, Biological characteristics, Drugs Relationships, Psychological Factors, Genetic Compound, Religious and Spirituals conditions. Recent scientific literature regarding the suicide risk factors in bipolar disorder converge to, directly or indirectly, highlight the negative impacts of risk factors to the affected population quality of life.

CONCLUSION

This review demonstrated that Bipolar disorders commonly leads to other psychiatric disorders and co-morbidities involving risk of suicide. Thus the risk factors are relevant to have a better diagnosis and prognosis of BD cases involving risk of suicide.

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

BACKGROUND

To date, our ability to accurately identify patients at high risk from suicidal behaviour, and thus to target interventions, has been fairly limited. This study examined a large pool of factors that are potentially associated with suicide risk from the comprehensive electronic medical record (EMR) and to derive a predictive model for 1-6 month risk.

METHODS

7,399 patients undergoing suicide risk assessment were followed up for 180 days. The dataset was divided into a derivation and validation cohorts of 4,911 and 2,488 respectively. Clinicians used an 18-point checklist of known risk factors to divide patients into low, medium, or high risk. Their predictive ability was compared with a risk stratification model derived from the EMR data. The model was based on the continuation-ratio ordinal regression method coupled with lasso (which stands for least absolute shrinkage and selection operator).

RESULTS

In the year prior to suicide assessment, 66.8% of patients attended the emergency department (ED) and 41.8% had at least one hospital admission. Administrative and demographic data, along with information on prior self-harm episodes, as well as mental and physical health diagnoses were predictive of high-risk suicidal behaviour. Clinicians using the 18-point checklist were relatively poor in predicting patients at high-risk in 3 months (AUC 0.58, 95% CIs: 0.50 - 0.66). The model derived EMR was superior (AUC 0.79, 95% CIs: 0.72 - 0.84). At specificity of 0.72 (95% CIs: 0.70-0.73) the EMR model had sensitivity of 0.70 (95% CIs: 0.56-0.83).

CONCLUSION

Predictive models applied to data from the EMR could improve risk stratification of patients presenting with potential suicidal behaviour. The predictive factors include known risks for suicide, but also other information relating to general health and health service utilisation.

Fear of dying in panic attacks predicts suicide attempt in comorbid depressive illness: prospective evidence from the National Epidemiological Survey on Alcohol and Related Conditions

CONTEXT

As a group, comorbid anxiety disorders among depressed persons have consistently been found to increase risk of suicide attempt (SA). Growing evidence supports the link between panic attacks (PAs) and suicidality, but prospective evidence is limited and the nature of the linkage remains unclear. The positive-feedback model of suicide suggests that PAs eliciting catastrophic cognitions may drive SA.

OBJECTIVE

To prospectively examine the relationship between PAs, panic symptoms and suicidality in individuals meeting DSM-IV criteria for past-year major depressive episodes in a large epidemiological study.

METHODS

In data on 2,864 participants of the National Epidemiological Survey on Alcohol and Related Conditions (NESARC) wave 1 and 2 surveys with depressive disorders, the associations of PAs and panic symptoms with subsequent suicidal ideation (SI) and SAs were assessed using logistic regression.

RESULTS

Past-year PAs in wave 1 significantly increased odds for subsequent SI and attempt in the 3-year follow-up interval; however, in multivariate analyses, PAs were not a significant predictor, but PAs featuring fear of dying were. Further, among subjects with PAs, fear of dying during a PA increased the odds of subsequent SA sevenfold, even after controlling for comorbid disorders, demographic factors, and other PA symptoms.

CONCLUSION

PAs characterized by prominent morbid catastrophic cognitions may mediate the transition to SIs and SAs in subjects with depressive episodes. Presence of these symptoms in clinical settings may serve as a warning sign for future suicidality.

Can repetition of deliberate self-harm be predicted? A prospective multicenter study validating clinical decision rules

BACKGROUND

Clinical decision rules have been developed to help identify patients at high risk of repeating deliberate self-harm actions. The objective of this study was to prospectively validate the clinical decision rules', Södersjukhuset Self-Harm Rule and Manchester Self-Harm Rule, ability to predict repetition of deliberate self-harm (DSH).

METHODS

A consecutive series of 325 patients attending two large emergency departments in Stockholm, Sweden due to DSH were included and followed for six months. Predictive factors were collected from hospital charts at the emergency department. A nationwide register-based follow-up of new DSH within six months was used. We calculated the sensitivity and specificity to evaluate the different decision rules' ability to identify repetition of DSH. Main outcome measure repeated DSH within six months.

RESULTS

The cumulative incidence for patients repeating within six months was 24.6% (95% CI: 19.9-29.3). Application of Södersjukhuset Self-Harm Rule yielded a sensitivity of 89% (95%CI: 79.2-94.4) and a specificity of 11% (95%CI: 7.9-16.2). Application of Manchester Self-Harm Rule to our material yielded a sensitivity of 94% (95%CI: 85.4-97.7) and a specificity of 18% (95%CI: 13.8-23.9).

LIMITATIONS

If data regarding predictive factors were missing it was not possible to investigate this further and in the statistical analysis missing data was classified as no. This would imply that the predicted risks may be underestimated.

CONCLUSION

Clinical decision rules could be used as a compliment providing important additional information regarding risk of repetition in an ED setting when focusing on high sensitivity.