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Abstract Elevated aggression in individuals with psychiatric disorders is frequently reported yet aggressive acts among people with mental illness are often intertwined with proneness to aggression and other risk factors. Evidence has suggested that both general psychopathology and proneness to aggression may share common psychological characteristics. This study aims to investigate the complex relationship between general psychopathology, proneness to aggression, and their contributing factors in community youth. Here, we first examined the association between proneness to aggression and the level of general psychopathology in 2184 community youths (male: 41.2%). To identify common characteristics, we trained machine learning models using LASSO based on 230 features covering sociodemographic, cognitive functions, lifestyle, well-being, and psychological characteristics to predict levels of general psychopathology and proneness to aggression. A subsequent Gaussian Graph Model (GGM) was fitted to understand the relationships between the general psychopathology, proneness to aggression, and selected features. We showed that proneness to aggression was associated with a higher level of general psychopathology (discovery: r = 0.56, 95% CI: [0.52–0.59]; holdout: r = 0.60, 95% CI: [0.54–0.65]). The LASSO model trained on the discovery dataset for general psychopathology was able to predict proneness to aggression in the holdout dataset with a moderate correlation coefficient of 0.606. Similarly, the model trained on the proneness to aggression in the discovery dataset was able to predict general psychopathology in the holdout dataset with a correlation coefficient of 0.717. These results suggest that there is substantial shared information between the two outcomes. The GGM model revealed that isolation and impulsivity factors were directly associated with both general psychopathology and proneness to aggression. These results revealed shared psychological characteristics of general psychopathology and proneness to aggression in a community sample of youths.

Background Culturally competent early mental health interventions for ethnic minorities (EMs) with no formal diagnoses are needed.Objectives To determine whether 8–12 weeks culturally adapted counselling (CAC) is better than waiting (waitlist (WL) group) to reduce depressive and anxiety symptoms and stress levels among EMs with elevated mental distress.Methods Hong Kong EMs with mild and above-mild mental distress were randomly assigned to CAC or WL in this pragmatic, randomised, WL-controlled trial. The CAC group received the intervention after randomisation and the WL group received the intervention after 8–12 weeks (T1). The prespecified primary outcomes were depressive and anxiety symptoms and stress levels measured by the Depression, Anxiety and Stress subscales of the Depression, Anxiety and Stress Scale (DASS-D, DASS-A and DASS-S, respectively) at postintervention (T1, 8–12 weeks).Findings A total of 120 participants were randomly assigned to either CAC (n=60) or WL (n=60), of whom 110 provided primary outcome data. At T1, CAC led to significantly lower depressive and anxiety symptom severity and stress levels compared with waiting, with unstandardised regression coefficients of −8.91 DASS-D points (95% CI −12.57 to −5.25; d=−0.90),–6.33 DASS-A points (95% CI −9.81 to −2.86; d=−0.68) and −8.60 DASS-S points (95% CI −12.14 to −5.06; d=−0.90).Conclusions CAC clinically outperformed WL for mild and above-mild levels of mental distress in EMs.Clinical implications Making CAC routinely available for EMs in community settings can reduce healthcare burden.Trial registration number NCT04811170.

Abstract Emotions are not necessarily universal across different languages and cultures. Mental lexicons of emotions depend strongly on contextual factors, such as language and culture. The Chinese language has unique linguistic properties that are different from other languages. As a main variant of Chinese, Cantonese has some emotional expressions that are only used by Cantonese speakers. Previous work on Chinese emotional vocabularies focused primarily on Mandarin. However, little is known about Cantonese emotion vocabularies. This is important since both language variants might have distinct emotional expressions, despite sharing the same writing system. To explore the structure and organization of Cantonese-label emotion words, we selected 79 highly representative emotion cue words from an ongoing large-scale Cantonese word association study (SWOW-HK). We aimed to identify the categories of these emotion words and non-emotion words that related to emotion concepts. Hierarchical cluster analysis was used to generate word clusters and investigate the underlying emotion dimensions. As the cluster quality was low in hierarchical clustering, we further constructed an emotion graph using a network approach to explore how emotions are organized in the Cantonese mental lexicon. With the support of emotion knowledge, the emotion graph defined more distinct emotion categories. The identified network communities covered basic emotions such as love, happiness, and sadness. Our results demonstrate that mental lexicon graphs constructed from free associations of Cantonese emotion-label words can reveal fine categories of emotions and their relevant concepts.

Abstract Objective This study aimed to investigate the changes in perceived public stigma (PPS) towards psychosis, and endorsement of medication treatment between 2009 to 2018 in the Hong Kong Chinese population.The role of education level on the changes in PPS and endorsement of medication treatment for psychosis was also examined. Methods Telephone survey of the general population was conducted in 2009, 2014, and 2018. PPS was assessed using the revised Link’s Perceived Discrimination-Devaluation Scale. Endorsement of medication was measured using an item asking if individuals with psychosis requires medication to manage their symptoms. Education level was separated into three categories (primary, secondary, and tertiary) for analysis. Factorial analysis of covariance was used to examine the main effects of survey year, education and endorsement of medication on stigma, and the interaction between survey year and education level, and survey year and endorsement of medication on PPS. Results 1016, 1018, and 1514 respondents completed the surveys in 2009, 2014, and 2018, respectively. PPS was found to be stable across the three public surveys. Endorsement of medication treatment was associated with higher PPS. An interaction effect between survey year and education level onPPS was observed. PPS was significantly lower and fewer respondents endorsed medication treatment in 2018 in the tertiary education group than in previous years. Conclusion Current findings suggest that a targeted approach may be required for different education groups when developing anti-stigma public campaigns. Inclusion of other aspects of knowledge about psychosis may also be useful in reduction of PPS.