Increased psychological distress among young people before and during the fifth wave of COVID-19 after two years of pandemic in Hong Kong: a 6-month longitudinal study.

BACKGROUND: Despite over two years of COVID-19 worldwide, the outbreak of the Omicron variant has given rise to an unprecedented surge of infection with diverse lockdown measures implemented globally. Whether the emergence of a new wave of COVID-19 could further affect mental health in the population after nearly two years of the pandemic remains to be addressed. Furthermore, whether changes in smartphone overuse behaviours and physical activity - both of which are particularly relevant to young people - would together contribute to changes in distress symptoms during this wave of COVID-19 was also examined. METHODS: A total of 248 young people from an ongoing household-based epidemiological study in Hong Kong who completed their baseline assessments prior to the Omicron variant outbreak, i.e., fifth wave of COVID-19 (July-November 2021), were invited for a 6-month follow-up study during this wave of infection (January-April 2022) (mean age = 19.7 years, SD = 2.7; 58.9% females). At both time points, levels of global distress symptoms, perceived stress, smartphone overuse, frequency of engagement in vigorous physical activity, and other potential risk and protective factors were assessed. RESULTS: The proportion of young people presenting moderate-to-severe distress (6-item Kessler Psychological Distress Scale ≥ 5) significantly increased from 45.6 to 54.4% during the fifth wave of COVID-19 (p < 0.010). Significantly increased levels of smartphone overuse and reduced days of vigorous physical activity were also observed during the fifth wave. Notably, increased smartphone overuse and reduced physical activity both additively and interactively contributed to elevated distress at 6 months, even after accounting for demographic characteristics, psychiatric history, childhood adversity, as well as baseline distress symptoms, resilience, and recent personal stressors. CONCLUSIONS: The findings suggest that the emergence of a new wave of COVID-19, specifically the Omicron outbreak, can further aggravate mental distress even after a protracted period of the pandemic. Awareness of the dynamic nature of COVID-19 is necessitated to address the pressing mental health needs of populations. Supporting young people in healthier patterns of smartphone use and physical activity can be helpful.

Impact of smartphone overuse on 1-year severe depressive symptoms and momentary negative affect: Longitudinal and experience sampling findings from a representative epidemiological youth sample in Hong Kong.

Smartphone overuse can have detrimental impacts on youth mental health. How it may be longitudinally associated with depressive symptoms and functioning, and with daily momentary affect, remains to be investigated. A total of 3,033 young people were consecutively recruited from a large-scale epidemiological youth mental health study in Hong Kong. A subsample (n = 936) was followed-up after 1 year, with experience sampling data collected from 177 participants. Separate multivariable logistic regression models were applied to examine the prospective associations between smartphone overuse and depressive symptoms, with multilevel models fitted to examine its associations with momentary affect. The prevalence of smartphone overuse in the Hong Kong youth population was 29.3%. Smartphone overuse was significantly associated with more depressive symptoms and functional impairments both cross-sectionally and longitudinally. The associations between smartphone overuse and 1-year depressive symptoms were significant, even when accounting for baseline symptoms, social media use, and other risk and protective factors. Baseline depressive symptoms, in contrast, were not associated with 1-year smartphone overuse after adjusting for baseline smartphone overuse. Smartphone overuse was also significantly associated with higher levels of momentary negative affect, even when accounting for depressive symptoms. Strategies to mitigate the impact of smartphone overuse can have important long-term implications.

LevelMind@JC: Development and evaluation of a community early intervention program for young people in Hong Kong.

AIM: Hong Kong's existing mental health services are inadequate in addressing young people's needs. The LevelMind@JC project established an early intervention platform of community-based youth-specific mental health centres involving youth workers, cross-disciplinary professionals, and young people. The project intends to (1) pilot a community platform that incorporates a youth-friendly early screening tool with preventative intervention capabilities, (2) set up a state-of-the-art training system for youth mental health workers, (3) establish a community clinical support team and (4) develop a timely evaluation system to monitor the service and evaluate its outcome and cost-effectiveness against generic youth services. METHODS: Six hundred LevelMind@JC service users will be assessed alongside 600 young people visiting generic youth centres and 100 young people in the community. Participants will be matched according to age, gender, years of education, socioeconomic status, and level of distress. Assessments, administered at baseline and at 3, 6 and 12 months, will cover demographic characteristics, psychological distress, quality of life, depressive and anxiety symptoms, functioning, physical health and lifestyle, personality and social measures, cognitive measures and health economics. Mixed-model ANOVAs will be used to indicate interactions between services and between time points. CONCLUSION: Built upon a community-based support model, LevelMind@JC aims to promote positive mental health in young people through the collaboration of cross-disciplinary mental health professionals. If efficacy and cost-effectiveness are established, the project could be scaled up, implicating a wider reach of care. We anticipate its success to be critical in combatting mental health issues stemming from both personal and population-level stressors.

Predicting first-episode psychosis patients who will never relapse over 10 years.

BACKGROUND: Although relapse in psychosis is common, a small proportion of patients will not relapse in the long term. We examined the proportion and predictors of patients who never relapsed in the 10 years following complete resolution of positive symptoms from their first psychotic episode. METHOD: Patients who previously enrolled in a 12-month randomized controlled trial on medication discontinuation and relapse following first-episode psychosis (FEP) were followed up after 10 years. Relapse of positive symptoms was operationalized as a change from a Clinical Global Impression scale positive score of <3 for at least 3 consecutive months to a score of ⩾3 (mild or more severe). Baseline predictors included basic demographics, premorbid functioning, symptoms, functioning, and neurocognitive functioning. RESULTS: Out of 178 first-episode patients, 37 (21%) never relapsed during the 10-year period. Univariate predictors (p ⩽ 0.1) of patients who never relapsed included a duration of untreated psychosis (DUP) ⩽30 days, diagnosed with non-schizophrenia spectrum disorders, having less severe negative symptoms, and performing better in logical memory immediate recall and verbal fluency tests. A multivariate logistic regression analysis further suggested that the absence of any relapsing episodes was significantly related to better short-term verbal memory, shorter DUP, and non-schizophrenia spectrum disorders. CONCLUSIONS: Treatment delay and neurocognitive function are potentially modifiable predictors of good long-term prognosis in FEP. These predictors are informative as they can be incorporated into an optimum risk prediction model in the future, which would help with clinical decision making regarding maintenance treatment in FEP.

Evidence of structural invariance across three groups of Meehlian schizotypes.

According to Meehl's model of schizotypy, there is a latent personality organization associated with the diathesis for schizophrenia that can be identified in several ways. We sought to examine the structural invariance of four Chapman psychosis-proneness scales (CPPS) across three groups of putative schizotypes, namely, clinically-, biologically-, and psychometrically-identified schizotypes. We examined the factor structure of the Perceptual Aberration (PER), Magical Ideation (MIS), Revised Social Anhedonia (RSAS), and Revised Physical Anhedonia (RPAS) scales in 196 schizophrenia patients, 197 non-psychotic first-degree relatives, and 1,724 non-clinical young adults. The confirmatory factor analyses indicated that the best-fitting model was one in which there is a two-factor model with negative schizotypy (RSAS and RPAS) and positive schizotypy (PER and MIS). All three samples fit the model well, with Comparative Fit Indices>0.95 and Tucker Lewis Indices>0.90. The root mean square error of approximations were all small (P values⩽0.01). We also observed that for both anhedonia scales, the groups' mean scale scores varied in the hypothesized direction, as predicted by Meehl's model of schizotypy. All three Chinese samples, namely, the patients (clinical schizotypes), relatives (biologically-identified schizotypes), and non-clinical young adults (containing psychometrically-identified schizotypes) showed the same factorial structure. This finding supports the suitability of the CPPS for cross-cultural and/or genetic investigations of schizotypy.