The coronavirus disease 2019 (COVID-19) pandemic has led to significant strain on front-line healthcare workers.

In this multicentre study, we compared the psychological outcomes during the COVID-19 pandemic in various countries in the Asia-Pacific region and identified factors associated with adverse psychological outcomes.

From 29 April to 4 June 2020, the study recruited healthcare workers from major healthcare institutions in five countries in the Asia-Pacific region. A self-administrated survey that collected information on prior medical conditions, presence of symptoms, and scores on the Depression Anxiety Stress Scales and the Impact of Events Scale-Revised were used. The prevalence of depression, anxiety, stress and post-traumatic stress disorder (PTSD) relating to COVID-19 was compared, and multivariable logistic regression identified independent factors associated with adverse psychological outcomes within each country.

A total of 1146 participants from India, Indonesia, Singapore, Malaysia and Vietnam were studied. Despite having the lowest volume of cases, Vietnam displayed the highest prevalence of PTSD. In contrast, Singapore reported the highest case volume, but had a lower prevalence of depression and anxiety. In the multivariable analysis, we found that non-medically trained personnel, the presence of physical symptoms and presence of prior medical conditions were independent predictors across the participating countries.

This study highlights that the varied prevalence of psychological adversity among healthcare workers is independent of the burden of COVID-19 cases within each country. Early psychological interventions may be beneficial for the vulnerable groups of healthcare workers with presence of physical symptoms, prior medical conditions and those who are not medically trained.

Schizophrenia is highly familial neuropsychiatric disorder with heritability estimated at 60-90%. Even unaffected first-degree relatives of schizophrenia manifested some neuropsychological abnormalities as well as neurologic soft sign and morphologic anomalies. the aim of this study was to evaluate personality profile in first-degree relatives of schizophrenia compared to their schizophrenia probands and healthy controls and whether personality profile might be endophenotype of schizophrenia.

The subjects were 97 first-degree relatives of schizophrenia, 48 their schizophrenia probands, and 106 healthy controls, who completed Temperament and Character Inventory (TCI) scale. Relatives were further divided into presumed carriers and pesumed non-carriers by schizophrenia genetic loading. Group difference in TCI scores were compared by general linear model using age and gender as covariates.

1. 1. There were significant group differences in HA scores between healthy controls, relatives, and probands after controlling age and gender, in that HA scores were increased by healthy controls, relatives, and probands in order.

2. 2. Presumed carriers have higher HA scores than presumed non-carriers and healthy controls.

3. 3. Proband group showed significantly lower RD and lower P in temperament dimension and lower SD, lower C, and higher ST in character dimension compared to other groups.

We found that HA scores of first-degree relatives of schizophrenia is intermediate level between schizophrenia probands and healthy controls. Considering increase of HA with schizophrenia genetic loading, HA may be potential endophenotype of schizophrenia. Further research with longitudinal follow up is needed to elucidate the clinical implication of high HA observed in schizophrenia family.

The existing literature on chronic pain points to the effects anxiety sensitivity, pain hypervigilance, and pain catastrophizing on pain-related fear; however, the nature of the relationships remains unclear. The three dispositional factors may affect one another in the prediction of pain adjustment outcomes. The addition of one disposition may increase the association between another disposition and outcomes, a consequence known as suppressor effects in statistical terms.

This study examined the possible statistical suppressor effects of anxiety sensitivity, pain hypervigilance and pain catastrophizing in predicting pain-related fear and adjustment outcomes (disability and depression).

Chinese patients with chronic musculoskeletal pain (n = 401) completed a battery of assessments on pain intensity, depression, anxiety sensitivity, pain vigilance, pain catastrophizing, and pain-related fear. Multiple regression analyses assessed the mediating/moderating role of pain hypervigilance. Structural equation modeling (SEM) was used to evaluate suppression effects.

Our results evidenced pain hypervigilance mediated the effects of anxiety sensitivity (Model 1: Sobel z = 4.86) and pain catastrophizing (Model 3: Sobel z = 5.08) on pain-related fear. Net suppression effect of pain catastrophizing on anxiety sensitivity was found in SEM where both anxiety sensitivity and pain catastrophizing were included in the same full model to predict disability (Model 9: CFI = 0.95) and depression (Model 10: CFI = 0.93) (all P < 0.001) (see Figs. 3 and 4, Figs. 1 and 2).

Our findings evidenced that pain hypervigilance mediated the relationship of two dispositional factors, pain catastrophic cognition and anxiety sensitivity, with pain-related fear. The net suppression effects of pain catastrophizing suggest that anxiety sensitivity enhanced the effect of pain catastrophic cognition on pain hypervigilance.

The authors have not supplied their declaration of competing interest.

While a body of research has evidenced the role of pain coping in chronic pain adjustment, the role of coping flexibility in chronic pain adjustment has received little research attention. Coping flexibility can be conceptualized with two dimensions, cognitive and behavioral. The cognitive dimension of coping flexibility (or coping appraisal flexibility) refers to one's appraisal of pain experience when changing coping strategies whereas the behavioral dimension of coping flexibility denotes the variety of coping responses individuals use in dealing with stressful demands.

The aim of this paper is to present preliminary findings on the role of coping flexibility in chronic pain adjustment by assessing 3 competing models of pain coping flexibility (see Figs. 1–3).

Patients with chronic pain (n = 300) completed a battery of questionnaire assessing pain disability, discriminative facility, need for closure, pain coping behavior, coping flexibility, and pain catastrophizing. The 3 hypothesized models were tested using structural equation modeling (SEM). In all models tested, need for closure and discriminative facility were fitted as the dispositional cognitive and motivational factors respectively underlying the coping mechanism, whereas pain catastrophizing and pain intensity were included as covariates.

Results of SEM showed that the hierarchical model obtained the best data-model fit (CFI = 0.96) whereas the other two models did not attain an accept fit (CFI ranging from 0.70–0.72).

Our results lend tentative support for the hierarchical model of pain coping flexibility that coping variability mediated the effects of coping appraisal flexibility on disability.

The authors have not supplied their declaration of competing interest.

Research evidenced the association of pain coping strategies with short-term and long-term adjustments to chronic pain. Yet, previous studies mainly assessed the frequency of coping strategies when pain occurs whilst no data is available on one's flexibility/rigidity in using different pain coping strategies, i.e., pain coping variability, in dealing with different situations.

This study aimed to examine the multivariate association between pain coping variability and committed action in predicting concurrent pain-related disability. Specifically, we examined the independent effects of pain coping variability and committed action in predicting concurrent pain-related disability in a sample of Chinese patients with chronic pain.

Chronic pain patients (n = 287) completed a test battery assessing pain intensity/disability, pain coping strategies and variability, committed action, and pain catastrophizing. Multiple regression modeling compared the association of individual pain coping strategies and pain coping variability with disability (Models 1–2), and examined the independent effects of committed action and pain coping variability on disability (Model 3).

Of the 8 coping strategies assessed, only guarding (std β = 0.17) was emerged as significant independent predictor of disability (Model 1). Pain coping variability (std β = −0.10) was associated with disability after controlling for guarding and other covariates (Model 2) and was emerged as independent predictor of disability (Model 3: std β = −0.11) (all P < 0.05) (Tables 1 and 2).

Our data offers preliminary support for the multivariate association between pain coping variability and committed action in predicting concurrent pain-related disability, which supplements the existing pain coping data that are largely based on assessing frequency of coping.

The authors have not supplied their declaration of competing interest.

A body of evidence has accrued supporting the Fear-Avoidance Model (FAM) of chronic pain which postulated the mediating role of pain-related fear in the relationships between pain catastrophizing and pain anxiety in affecting pain-related outcomes. Yet, relatively little data points to the extent to which the FAM be extended to understand chronic pain in Chinese population and its impact on quality of life (QoL).

This study explored the relationships between FAM components and their effects on QoL in a Chinese sample.

A total of 401 Chinese patients with chronic musculoskeletal pain completed measures of three core FAM components (pain catastrophizing, pain-related fear, and pain anxiety) and QoL. Cross-sectional structural equation modeling (SEM) assessed the goodness of fit of the FAM for two QoL outcomes, Physical (Model 1) and Mental (Model 2). In both models, pain catastrophizing was hypothesized to underpin pain-related fear, thereby influencing pain anxiety and subsequently QoL outcomes.

Results of SEM evidenced adequate data-model fit (CFI30.90) for the two models tested (Model 1: CFI = 0.93; Model 2: CFI = 0.94). Specifically, pain catastrophizing significantly predicted pain-related fear (Model 1: stdb = 0.90; Model 2: stdb = 0.91), which in turn significantly predicted pain anxiety (Model 1: stdb = 0.92; Model 2: stdb = 0.929) and QoL outcomes in a negative direction (Model 1: stdb = −0.391; Model 2: stdb = −0.651) (all P < 0.001) (Table 1, Fig. 1).

Our data substantiated the existing FAM literature and offered evidence for the cross-cultural validity of the FAM in the Chinese population with chronic pain.

The authors have not supplied their declaration of competing interest.

Epidemiological studies indicate that individuals with one type of mental disorder have an increased risk of subsequently developing other types of mental disorders. This study aimed to undertake a comprehensive analysis of pair-wise lifetime comorbidity across a range of common mental disorders based on a diverse range of population-based surveys.

The WHO World Mental Health (WMH) surveys assessed 145 990 adult respondents from 27 countries. Based on retrospectively-reported age-of-onset for 24 DSM-IV mental disorders, associations were examined between all 548 logically possible temporally-ordered disorder pairs. Overall and time-dependent hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards models. Absolute risks were estimated using the product-limit method. Estimates were generated separately for men and women.

Each prior lifetime mental disorder was associated with an increased risk of subsequent first onset of each other disorder. The median HR was 12.1 (mean = 14.4; range 5.2–110.8, interquartile range = 6.0–19.4). The HRs were most prominent between closely-related mental disorder types and in the first 1–2 years after the onset of the prior disorder. Although HRs declined with time since prior disorder, significantly elevated risk of subsequent comorbidity persisted for at least 15 years. Appreciable absolute risks of secondary disorders were found over time for many pairs.

Survey data from a range of sites confirms that comorbidity between mental disorders is common. Understanding the risks of temporally secondary disorders may help design practical programs for primary prevention of secondary disorders.

To identify and synthesise the literature on the cost of mental disorders.

Systematic literature searches were conducted in the databases PubMed, EMBASE, Web of Science, EconLit, NHS York Database and PsychInfo using key terms for cost and mental disorders. Searches were restricted to January 1980–May 2019. The inclusion criteria were: (1) cost-of-illness studies or cost-analyses; (2) diagnosis of at least one mental disorder; (3) study population based on the general population; (4) outcome in monetary units. The systematic review was preregistered on PROSPERO (ID: CRD42019127783).

In total, 13 579 potential titles and abstracts were screened and 439 full-text articles were evaluated by two independent reviewers. Of these, 112 articles were included from the systematic searches and 31 additional articles from snowball searching, resulting in 143 included articles. Data were available from 48 countries and categorised according to nine mental disorder groups. The quality of the studies varied widely and there was a lack of studies from low- and middle-income countries and for certain types of mental disorders (e.g. intellectual disabilities and eating disorders). Our study showed that certain groups of mental disorders are more costly than others and that these rankings are relatively stable between countries. An interactive data visualisation site can be found here: https://nbepi.com/econ.

This is the first study to provide a comprehensive overview of the cost of mental disorders worldwide.