The “suicidal transition” from ideation to an act has become a specific topic of research. However, rates in the general population, variations across time and risk factors are unclear.

Data were collected from the phone survey Baromètre Santé among 18–75-year-olds in France. Seven independent samples interviewed between 2000 and 2021 (total N = 133,827 people; 51.3% females) were questioned about suicidal ideation and attempts over the previous 12 months. Transition was calculated as the weighted ratio of attempt on ideation 12-month rates.

Mean 12-month rates of suicidal ideation, attempts and transition were 4.7% (95% Confidence Interval (CI) (4.6–4.8)), 0.5% (95% CI (0.4–0.5)) and 7.7% (95% CI (6.8–8.6)), respectively. Transition rates varied between 4.5 and 11.9% across surveys. In multivariable analyses, higher transitions rates were associated with a previous suicide attempt (adjusted Odds Ratio (aOR) = 11.1 95% CI (7.9–15.6)); 18–25 vs 26–55-year-olds (1.8 95% CI (1.2–2.8)); lower vs higher income (1.7 95% CI (1.0–2.7); and lower vs higher professional categories (aOR around 1.9). No significant association was found with gender, education level, employment status, living alone, urbanicity, current major depression, daily smoking, weekly heavy drinking, cannabis use, and body mass index.

Most people with suicidal ideation do not attempt suicide. These findings emphasize the need to avoid generic terms such as “suicidality”, and to increase research on suicidal transition to improve prevention and prediction. They may also inform the organization of suicide prevention in the general population.

With efforts increasing worldwide to understand and treat paranoia, there is a pressing need for cross-culturally valid assessments of paranoid beliefs. The recently developed Revised Green et al., Paranoid Thoughts Scale (R-GPTS) constitutes an easy to administer self-report assessment of mild ideas of reference and more severe persecutory thoughts. Moreover, it comes with clinical cut-offs for increased usability in research and clinical practice. With multiple translations of the R-GPTS already available and in use, a formal test of its measurement invariance is now needed.

Using data from a multinational cross-sectional online survey in the UK, USA, Australia, Germany, and Hong Kong (N = 2510), we performed confirmatory factory analyses on the R-GPTS and tested for measurement invariance across sites.

We found sufficient fit for the two-factor structure (ideas of reference, persecutory thoughts) of the R-GPTS across cultures. Measurement invariance was found for the persecutory thoughts subscale, indicating that it does measure the same construct across the tested samples in the same way. For ideas of reference, we found no scalar invariance, which was traced back to (mostly higher) item intercepts in the Hong Kong sample.

We found sufficient invariance for the persecutory thoughts scale, which is of substantial practical importance, as it is used for the screening of clinical paranoia. A direct comparison of the ideas of reference sum-scores between cultures, however, may lead to an over-estimation of these milder forms of paranoia in some (non-western) cultures.

To assess the associations between anxiety and depressive symptoms and post-COVID-19 condition (PCC) by exploring the direction of these associations and their relevance in the definition of PCC.

Nationwide survey among French adults, recruited between March and April, 2022, using a quota method to capture a representative sample of the general population with regard to sex, age, socioeconomic status, size of the place of residence, and region. We included all participants who met the World Health Organization (WHO) definition of PCC in addition to a random sample of participants infected with SARS-COV-2 for at least 3 months but without PCC. Self-reported anxiety and depressive symptoms, chronic anxiety and depression (for more than 3 years), and anxiety and depression were measured using the GAD-2 and PHQ-2 questionnaires, respectively.

In a sample of 1,095 participants with PCC and 1,021 participants infected with SARS-COV-2 without PCC, 21% had self-reported anxiety and 18% self-reported depression, whereas 33% and 20% had current measured symptoms of anxiety and depression, respectively. The high prevalence of these symptoms cannot only be explained by the characterization of PCC, as only 13.4% of anxiety symptoms and 7.6% of depressive symptoms met the WHO criteria for PCC. Only one participant met the WHO criteria based on self-reported anxiety or depressive symptoms alone, as these were always combined with other symptoms in patients with PCC. Chronic symptoms were associated with PCC (aOR 1.27; 95% CI: 1.00–1.61). In addition, measured anxiety was associated with PCC (aOR = 1.29; 95% CI: 1.02–1.62).

Pre-COVID-19 chronic anxiety and depression may play a role in the development of PCC or share vulnerability factors with it. Our results challenge the inclusion of anxiety and depression in the definition of PCC.

There is no universal tool for measuring disaster preparedness in the general population. This study aimed to provide a summary of the domains and psychometric properties of the available scales that assess preparedness for disasters, or one of its main types, among individuals or households.

This study is a systematic review of the literature on disaster preparedness tools. Studies published up to December 2022 were identified through a systematic search of four databases: Google Scholar, PubMed, Scopus, and Web of Science. Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) were used to review and evaluate the psychometric properties. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were used to report this article.

Twelve articles met the inclusion criteria. Among them, five scales measured general disaster preparedness, five measured earthquake preparedness, one measured flood preparedness, and one measured bushfire preparedness. The scales had a number of dimensions ranging from one to six. The most common item topics in the included scales were as follows: having an evacuation plan (n = 7), information source (n = 7), fire extinguisher (n = 6), and emergency kit (n = 5). The scales were rated sufficient for content validity (n = 10), structural validity (n = 5), internal consistency (n = 5), and test-re-test reliability (n = 6). One scale was checked for criterion validity and was rated as insufficient according to the COSMIN guidelines.

The findings suggest the need to improve the psychometric properties of the scales, expand their contents, and develop scales relevant to target populations. This study provides useful information for researchers to develop comprehensive assessment tools and valuable sources of items for future scales.

COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental health management during the pandemic. This research aims to capture long-term psychological profile of general population following COVID-19 by integrating trajectory modelling approaches, latent trajectory pattern identification and network analyses.

Longitudinal data were collected from a nationwide sample of 18 804 adults in 12 months after COVID-19 outbreak in China. Patient Health Questionnaire-9, Generalised Anxiety Disorder-7 and Insomnia Severity Index were used to measure depression, anxiety and insomnia, respectively. The unconditional and conditional latent growth curve models were fitted to investigate trajectories and long-term predictors for psychological symptoms. We employed latent growth mixture model to identify the major psychological symptom trajectory patterns, and ran sparse Gaussian graphical models with graphical lasso to explore the evolution of psychopathological network.

At 12 months after COVID-19 outbreak, psychological symptoms generally alleviated, and five psychological symptom trajectories with different demographics were identified: normal stable (63.4%), mild stable (15.3%), mild-increase to decrease (11.7%), mild-decrease to increase (4.0%) and moderate/severe stable (5.5%). The finding indicated that there were still about 5% individuals showing consistently severe distress and approximately 16% following fluctuating psychological trajectories, who should be continuously monitored. For individuals with persistently severe trajectories and those with fluctuating trajectories, central or bridge symptoms in the network were mainly ‘motor abnormality’ and ‘sad mood’, respectively. Compared with initial peak and late COVID-19 phase, aftermath of initial peak might be a psychologically vulnerable period with highest network connectivity. The central and bridge symptoms for aftermath of initial peak (‘appetite change’ and ‘trouble of relaxing’) were totally different from those at other pandemic phases (‘sad mood’).

This research identified the overall growing trend, long-term predictors, trajectory classes and evolutionary pattern of psychopathological network of psychological symptoms in 12 months after COVID-19 outbreak. It provides a multidimensional long-term psychological profile of the general population after COVID-19 outbreak, and accentuates the essentiality of continuous psychological monitoring, as well as population- and time-specific psychological management after COVID-19. We believe our findings can offer reference for long-term psychological management after pandemics.

The term ‘pandemic paranoia’ has been coined to refer to heightened levels of mistrust and suspicion towards other people specifically due to the COVID-19 pandemic. In this study, we examine the international prevalence of pandemic paranoia in the general population and its associated sociodemographic profile.

A representative international sample of general population adults (N = 2510) from five sites (USA N = 535, Germany N = 516, UK N = 512, Australia N = 502 and Hong Kong N = 445) were recruited using stratified quota sampling (for age, sex, educational attainment) and completed the Pandemic Paranoia Scale (PPS).

The overall prevalence rate of pandemic paranoia was 19%, and was highest in Australia and lowest in Germany. On the subscales of the PPS, prevalence was 11% for persecutory threat, 29% for paranoid conspiracy and 37% for interpersonal mistrust. Site and general paranoia significantly predicted pandemic paranoia. Sociodemographic variables (lower age, higher population size and income, being male, employed and no migrant status) explained additional variance and significantly improved prediction of pandemic paranoia.

Pandemic paranoia was relatively common in a representative sample of the general population across five international sites. Sociodemographic variables explained a small but significant amount of the variance in pandemic paranoia.

Deficits in social cognition have been associated with the onset of emotional and behavioural problems, but the biological mechanisms underlying this relationship remain unclear.

This study examined whether diurnal cortisol patterns, systemic inflammation, or both, explained the association between social cognition difficulties and subsequent emotional and behavioural symptoms.

The sample consisted of 714 individuals from the Avon Longitudinal Study of Parents and Children (ALSPAC) with valid data on cortisol measures (age 15 years) and emotional or behavioural problems (age 17 years). Social cognition abilities were measured at 8, 11, and 14 years old. Inflammation was measured using serum levels of interleukin 6 (IL-6, age 9 years) and C-reactive protein (CRP, age 9 and 16 years). Bayesian structural equation modelling was used to investigate the mediating effect of cortisol or inflammation on the association between social cognitive difficulties and emotional or behavioural problems.

Children with social cognition difficulties were associated with later emotional and behavioural problems. Flattened diurnal cortisol slope was associated with the hyperactivity/inattention problem two years later. Mediation analyses revealed that lower morning cortisol significantly mediated the associations between social communication difficulties at 8 years with hyperactivity/inattention and conduct problems in adolescence, with the adjustment of inflammation and all covariates. Systemic inflammation was not related to social cognitive difficulties or future emotional and behavioural problems.

The finding suggests that social cognition is related to cortisol activities longitudinally. It also expands the evidence that adolescents with behavioural problems are characterised by hypoactivity of the hypothalamic-pituitary-adrenal (HPA) axis.

No significant relationships.

The Kessler Psychological Distress Scales (K10 and K6) are used as screening tools to assess psychological distress and are the first-line assessment of need for help in the Headspace services.

Thus, we studied the psychometric properties of their German versions in a Swiss community sample to evaluate their potential usefulness to screen for mental disorders or relevant mental problems in low threshold transdiagnostic German-speaking services.

The sample consisted of 829 citizens of the Swiss canton Bern of age 19-43 years. K10/K6 were validated against Mini-International Neuropsychiatric Interview (M.I.N.I.) diagnoses, questionnaires about health status and quality of life. Receiver Operating Characteristic (ROC) curve analyses were used to test for general discriminative ability and to select optimal cut-offs of the K10 and K6 for non-psychotic full-blown and subthreshold mental disorders.

Cronbach’s alphas were 0.81 (K10) and 0.70 (K6). ROC analyses indicated much lower optimal thresholds than earlier suggested; 10 for K10 and 6 for K6. At these thresholds, against M.I.N.I. diagnoses, Cohen’s Kappa (<=0.173) and correspondence rates (<=58.14%) were insufficient throughout. Values were higher at the earlier suggested threshold, yet, at the cost of sensitivity that was below 0.5 in all but three, and below 0.3 in all but six cases.

For the lack of sufficient validity and sensitivity, respectively, our findings suggest that both K10 and K6 would only be of limited use in a low-threshold transdiagnostic mental health service – comparable to Headspace – for young adults in Switzerland and likely other German-speaking countries.

No significant relationships.

Previous studies have examined public psycho-behavioural responses in the early stages of the epidemic, little is known after mass vaccination has been implemented. This study aimed to investigate the public's behavioural (adoption of COVID-19 precautionary measures) and psychological (depression, anxiety and stress) responses to COVID-19 and their relationships after the launch of the territory-wide vaccination programme in Hong Kong.

A cross-sectional survey study using anonymous online or face-to-face questionnaires was conducted between June 2021 and September 2021. A convenience sample of Hong Kong Chinese residents aged ⩾18 years were recruited online by referrals and from a university-run community vaccination centre.

A total of 1893 valid questionnaires were received. The results showed that Hong Kong residents have high levels of adoption of precautionary measures and low levels of depression, anxiety and stress after the mass vaccination. Hierarchical regression analysis identified that in the fully adjusted model, the adoption of precautionary measures was a consistent protective factor (β ranged −1.51 to −1.67, p < 0.001) for depression, anxiety and stress amid the COVID-19 pandemic.

This study offers new information on the public's psycho-behavioural responses to the pandemic, as well as insights into public health planning after introducing the mass vaccination.

Waves 1 to 3 (March 2020 to May 2020) of the UK COVID-19 Mental Health and Wellbeing study suggested an improvement in some indicators of mental health across the first 6 weeks of the UK lockdown; however, suicidal ideation increased.

To report the prevalence of mental health and well-being of adults in the UK from March/April 2020 to February 2021.

Quota sampling was employed at wave 1 (March/April 2020), and online surveys were conducted at seven time points. Primary analyses cover waves 4 (May/June 2020), 5 (July/August 2020), 6 (October 2020) and 7 (February 2021), including a period of increased restrictions in the UK. Mental health indicators were suicidal ideation, self-harm, suicide attempt, depression, anxiety, defeat, entrapment, loneliness and well-being.

A total of 2691 (87.5% of wave 1) individuals participated in at least one survey between waves 4 and 7. Depressive symptoms and loneliness increased from October 2020 to February 2021. Defeat and entrapment increased from July/August 2020 to October 2020, and remained elevated in February 2021. Well-being decreased from July/August 2020 to October 2020. Anxiety symptoms and suicidal ideation did not change. Young adults, women, those who were socially disadvantaged and those with a pre-existing mental health condition reported worse mental health.

The mental health and well-being of the UK population deteriorated from July/August 2020 to October 2020 and February 2021, which coincided with the second wave of COVID-19. Suicidal thoughts did not decrease significantly, suggesting a need for continued vigilance as we recover from the pandemic.

Due to the coronavirus disease 2019 (COVID-19) different countries implemented quarantine measures to limit the spread of the virus. Many studies analysed the mental health consequences of restrictive confinement, some of which focused their attention on specific populations. The general public's mental health also requires significant attention, however. This study aimed to evaluate the effects of the COVID-19 quarantine on the general population's mental health in different European countries. Risk and protective factors associated with the psychological symptoms were analysed.

A systematic search was conducted on four electronic databases (PubMed, PsycINFO, Scopus and Google Scholar). Studies published up until 20th April 2021, and following eligibility criteria were selected for this review. One thousand three hundred thirty-five (1335) studies were screened, 105 of which were included. Via network analysis, the current study investigated the pathways that underlie possible risk factors for mental health outcomes.

Anxiety, depression, distress and post-traumatic symptoms are frequently experienced during the COVID-19 quarantine and are often associated with changes in sleeping and eating habits. Some socio-demographic and COVID-19-related variables were found to be risk factors for an individual's wellbeing. In particular, being female, young, having a low income, being unemployed and having COVID-19-like symptoms or chronic disorders, were found to be the most common risk factors for mental health symptoms.

The COVID-19 pandemic represented an unprecedented threat to mental health globally. In order to prevent psychological morbidity and offer support tailored to short-, medium- and long-term negative outcomes, it is essential to identify the direct and indirect psychosocial effects of the lockdown and quarantine measures, especially in certain vulnerable groups. In addition to measures to reduce the curve of viral transmission, policy makers should urgently take into consideration provisions to alleviate hazards to mental health.

Globally, the corona virus disease 2019 (COVID-19) pandemic has created an interpersonally threatening context within which other people have become a source of possible threat. This study reports on the development and validation of a self-report measure of pandemic paranoia; that is, heightened levels of suspicion and mistrust towards others due to the COVID-19 pandemic.

An international consortium developed an initial set of 28 items for the Pandemic Paranoia Scale (PPS), which were completed by participants from the UK (n = 512), USA (n = 535), Germany (n = 516), Hong Kong (n = 454) and Australia (n = 502) using stratified quota sampling (for age, sex and educational attainment) through Qualtrics and translated for Germany and Hong Kong.

Exploratory factor analysis in the UK sample suggested a 25-item, three-factor solution (persecutory threat; paranoid conspiracy and interpersonal mistrust). Confirmatory factor analysis (CFA) on the remaining combined sample showed sufficient model fit in this independent set of data. Measurement invariance analyses suggested configural and metric invariance, but no scalar invariance across cultures/languages. A second-order factor CFA on the whole sample indicated that the three factors showed large loadings on a common second-order pandemic paranoia factor. Analyses also supported the test–retest reliability and internal and convergent validity.

The PPS offers an internationally validated and reliable method for assessing paranoia in the context of a pandemic. The PPS has the potential to enhance our understanding of the impact of the pandemic, the nature of paranoia and to assist in identifying and supporting people affected by pandemic-specific paranoia.

Psychosis expression in the general population may reflect a behavioral manifestation of the risk for psychotic disorder. It can be conceptualized as an interconnected system of psychotic and affective experiences; a so-called ‘symptom network’. Differences in demographics, as well as exposure to adversities and risk factors, may produce substantial heterogeneity in symptom networks, highlighting potential etiological divergence in psychosis risk.

To explore this idea in a data-driven way, we employed a novel recursive partitioning approach in the 2007 English National Survey of Psychiatric Morbidity (N = 7242). We sought to identify ‘network phenotypes’ by explaining heterogeneity in symptom networks through potential moderators, including age, sex, ethnicity, deprivation, childhood abuse, separation from parents, bullying, domestic violence, cannabis use, and alcohol.

Sex was the primary source of heterogeneity in symptom networks. Additional heterogeneity was explained by interpersonal trauma (childhood abuse and domestic violence) in women and domestic violence, cannabis use, ethnicity in men. Among women, especially those exposed to early interpersonal trauma, an affective loading within psychosis may have distinct relevance. Men, particularly those from minority ethnic groups, demonstrated a strong network connection between hallucinatory experiences and persecutory ideation.

Symptom networks of psychosis expression in the general population are highly heterogeneous. The structure of symptom networks seems to reflect distinct sex-related adversities, etiologies, and mechanisms of symptom-expression. Disentangling the complex interplay of sex, minority ethnic group status, and other risk factors may help optimize early intervention and prevention strategies in psychosis.

Since COVID19 pandemic emergence, containment measure have been taken by the Tunisian government imposing a new lifestyle resulting in psychological repercussions and a change in behavior.

Highlighting changes of behavior and lifestyle of the general public secondary to the COVID19 pandemic and to confinement and to assess their levels of psychological.

This is a qualitative, descriptive and analytical cross-sectional study realized between April and May 2020 with the general public using an anonymous online questionnaire covering: socio-demographic data; behavior during confinement; epidemic psychological impact; Mental health status was measured using Depression, Anxiety and Stress Scale(DASS-21). Anger level was assessed by STAXI-10 items.

132 responses were received: 68.2% were women; the average age 32.01(±11.10); half were single; 77.3% were at higher education level; 41.7% were healthcare professionnels. Consumption increased by 26.5% in coffee, 8.3% tobacco and 1.5% alcohol. 33.3% of participants increased their religious practice. 56.1% experienced sleep disorder mostly women(p<0.05). 91.7% followed COVID19 evolution through media essentially Facebook. Partners relationship was deteriorated in1.7% and improved in 25%. Child abuse increased by 13.7%. During confinement: 15.9%depression (0.8%severe depression), 12.9%anxiety (0.8%severe anxiety), 5.3% stress and 27.3%feelings of anger. Depression, anxiety and anger were related to younger age(p<0.05). Stress wasn’t age related. Depression was observed in participants without children (p<0.05). No association founded between psychological impact and gender, profession and civil status.

The COVID19 pandemic and the containment had consequences on individuals behavior and mental health. A psychological listening unit was launched during the period of confinement to overcome psychological impact.

Abnormalities of sleep patterns are common in people with psychiatric disorders and often represent a source of distress, worsening the outcome. However, little is knwon about the relationship between psychotic-like symptoms and sleep disorders in the general population.

1. Whether there is a relationship between sleep disorders and psychotic-like experiences in a sample of individuals belonging to the general population. 2. Which sleep disorders are more commonly associated with psychotic-like experiences.

A web survey was spread thorugh social networks. We administered the SLEEP-50 to investigate the presence of sleep disorders and the Community Assessment of Psychic Experience (CAPE) for psychotic-like symptoms. Moreover, socio-demographic characteristics of participants were collected.

The web-survey was completed by 824 participants. Six people refused to give consent and 95 were excluded because they declared to suffer from psychiatric disorder sor other medical conditions potentially infleuncing on sleep. Therefore, 729 subjects were included in the analysis. Pearson correlation coefficients showed strong correlations between the scale regarding SLEEP-50 “All sleep disorders” scale and CAPE Total and Depressive scales (r = 0.52, p < 0.001). A moderate correlation was found between “All sleep disorders” and CAPE Negative (r = 0.49) and Positive (r = 0.32) scales. Correlations with specific SLEEP-50 subscales were also found.

There seems to be a strong relationship between psychotic-like symptoms and sleep problems in the general population. Our findings might indicate that some sleep abnormalities may represent earlier symptoms of a psychiatric condition and need to be always monitored even in the non-psychiatric population.

No significant relationships.