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.

The impact of social unrest and pandemic on mental health of young people in Hong Kong: The transdiagnostic role of event-based rumination.

OBJECTIVE: Co-occurring population-level events, such as social unrest and coronavirus disease 2019, are observed in many societies today. Few studies have explored their combined mental health effects on young people. While self-focused rumination has been suggested to be a key mechanism underlying depression, the role of event-based rumination in mediating the impact of population stressors has yet to be elucidated. METHODS: Data were collected from 6988 young people in a large-scale community online survey in Hong Kong. The survey assessed symptoms of post-traumatic stress disorder and depression, direct exposure to social unrest-related traumatic events, coronavirus disease 2019 pandemic-related events, personal stressful life events, event-based rumination and other individual risk factors. RESULTS: High levels of comorbid post-traumatic stress disorder and depressive symptoms were observed. Logistic regression analysis revealed that probable post-traumatic stress disorder was associated with traumatic events (odds ratio = 1.73, 95% confidence interval = [1.64, 1.82]), pandemic-related events (odds ratio = 1.08, confidence interval = [1.01, 1.16]), stressful life events (odds ratio = 1.20, confidence interval = [1.21, 1.37]), high event-based rumination (odds ratio = 3.00, confidence interval = [2.58, 3.48]), lower resilience (odds ratio = 1.18, confidence interval = [1.15, 1.21]), higher smartphone reliance (odds ratio = 1.09, confidence interval = [1.05, 1.13]) and financial concerns (odds ratio = 1.25, confidence interval = [1.18, 1.33]). The odds for probable post-traumatic stress disorder was also significantly higher when two or more traumatic events were experienced (odds ratio = 4.03, confidence interval = [3.52, 4.62]). Factors associated with moderate-to-severe level depressive symptoms were similar. Event-based rumination significantly mediated between different types of external events (traumatic events, pandemic-related events, stressful life events) and both post-traumatic stress disorder and depressive symptoms. CONCLUSION: These findings suggest that diverse types of stressful events during population-level crises could add to personal stressors to affect mental health outcomes in young people. Among other protective and risk factors, event-based rumination presented as a prominent transdiagnostic mediator for different symptom dimensions which may be a potentially important target for early risk detection and intervention.

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.

Prospective prediction of PTSD and depressive symptoms during social unrest and COVID-19 using a brief online tool.

Large-scale protracted population stressors, such as social unrest and the coronavirus disease 2019 (COVID-19), are associated with increased symptoms of post-traumatic stress disorder (PTSD) and depression. Cost-effective mental health screening is prerequisite for timely intervention. We developed an online tool to identify prospective predictors of PTSD and depressive symptoms in the context of co-occurring social unrest and COVID-19 in Hong Kong. 150 participants completed baseline and follow-up assessments, with a median duration of 29 days. Three logistic regression models were constructed to assess its discriminative power in predicting PTSD and depressive symptoms at one month. Receiver-operating characteristic analysis was performed for each model to determine their optimal decision thresholds. Sensitivity and specificity of the models were 87.1% and 53.8% for probable PTSD, 77.5% and 63.3% for high-risk depressive symptoms, and 44.7% and 96.4% for no significant depressive symptoms. The models performed well in discriminating outcomes (AUCs range: 0.769-0.811). Probable PTSD was predicted by social unrest-related traumatic events, high rumination, and low resilience. Rumination and resilience also predicted high-risk and no significant depressive symptoms, with COVID-19-related events also predicting no significant depression risk. Accessible screening of probable mental health outcomes with good predictive capability may be important for early intervention opportunities.