Female Labor-Force Participation as Suicide Prevention: A Population Study in Taiwan.

OBJECTIVE: Female labor-force participation (FLFP) has been theorized as contributing to higher suicide rates, including among women. Evidence on this relationship, however, has been mixed. This study explored the association between FLFP and suicide in an understudied context, Taiwan, and across 40-years. METHODS: Annual national labor-participation rates for women ages 25-64, and female and male suicide-rates, for 1980-2020, were obtained from Taiwan's Department of Statistics. The associations between FLFP rates and sex/age-stratified suicide-rates, and between FLFP rates and male-to-female suicide-rates ratios were assessed via time-series regression-analyses, accounting for autoregressive effects. RESULTS: Higher FLFP rates were associated with lower female suicide-rates (ß = -0.06, 95% CI (Credibility Interval) = [-0.19, -0.01]) in the adjusted model. This association held in the age-stratified analyses. Associations for FLFP and lower male suicide-rates were observed in the ≥45 age-groups. FLFP rates were significantly and positively associated with widening male-to-female suicide-rates ratios in the adjusted model (ß = 0.24, 95% CI = [0.03, 0.59]). CONCLUSION: This study's findings suggest that FLFP protects women from suicide, and point to the potential value of FLFP as a way of preventing suicide. In Taiwan, employed women carry a double-load of paid and family unpaid care-work. Child care-work is still done by mothers, often with grandmothers' support. Therefore, this study's findings contribute to evidence that doing both paid work and unpaid family care-work has more benefits than costs, including in terms of suicide-protection. Men's disengagement from family care-work may contribute to their high suicide rates, despite their substantial labor-force participation.

Female labor-force participation (FLFP) has been theorized to increase suicide.Over time higher FLFP was associated with lower suicide, particularly in women.Higher FLFP was associated with widening male-to-female suicide-rate ratios.

Latent Heterogeneity of Online Sexual Experiences and Associations With Sexual Risk Behaviors and Behavioral Health Outcomes in Chinese Young Adults: Cross-Sectional Study.

BACKGROUND: Online sexual experiences (OSEs) are becoming increasingly common in young adults, but existing papers have reported only on specific types of OSEs and have not shown the heterogeneous nature of the repertoire of OSEs. The use patterns of OSEs remain unclear, and the relationships of OSEs with sexual risk behaviors and behavioral health outcomes have not been evaluated. OBJECTIVE: This study aimed to examine the latent heterogeneity of OSEs in young adults and the associations with sexual risk behaviors and behavioral health outcomes. METHODS: The 2021 Youth Sexuality Study of the Hong Kong Family Planning Association phone interviewed a random sample of 1205 young adults in Hong Kong in 2022 (male sex: 613/1205, 50.9%; mean age 23.0 years, SD 2.86 years) on lifetime OSEs, demographic and family characteristics, Patient Health Questionnaire-4 (PHQ-4) scores, sex-related factors (sexual orientation, sex knowledge, and sexual risk behaviors), and behavioral health outcomes (sexually transmitted infections [STIs], drug use, and suicidal ideation) in the past year. Sample heterogeneity of OSEs was analyzed via latent class analysis with substantive checking of the class profiles. Structural equation modeling was used to examine the direct and indirect associations between the OSE class and behavioral health outcomes via sexual risk behaviors and PHQ-4 scores. RESULTS: The data supported 3 latent classes of OSEs with measurement invariance by sex. In this study, 33.1% (398/1205), 56.0% (675/1205), and 10.9% (132/1205) of the sample were in the abstinent class (minimal OSEs), normative class (occasional OSEs), and active class (substantive OSEs), respectively. Male participants showed a lower prevalence of the abstinent class (131/613, 21.4% versus 263/592, 44.4%) and a higher prevalence of the active class (104/613, 17.0% versus 28/592, 4.7%) than female participants. The normative class showed significantly higher sex knowledge than the other 2 classes. The active class was associated with male sex, nonheterosexual status, higher sex desire and PHQ-4 scores, and more sexual risk behaviors than the other 2 classes. Compared with the nonactive (abstinent and normative) classes, the active class was indirectly associated with higher rates of STIs (absolute difference in percentage points [Δ]=4.8%; P=.03) and drug use (Δ=7.6%; P=.001) via sexual risk behaviors, and with higher rates of suicidal ideation (Δ=2.5%; P=.007) via PHQ-4 scores. CONCLUSIONS: This study provided the first results on the 3 (abstinent, normative, and active) latent classes of OSEs with distinct profiles in OSEs, demographic and family characteristics, PHQ-4 scores, sex-related factors, and behavioral health outcomes. The active class showed indirect associations with higher rates of STIs and drug use via sexual risk behaviors and higher rates of suicidal ideation via PHQ-4 scores than the other 2 classes. These results have implications for the formulation and evaluation of targeted interventions to help young adults.

Examining the Spread of Charcoal-Burning Suicide in Taiwan.

Background: Charcoal-burning has become a predominant method of suicide in many East-Asian countries since the 1990s. Aims: To explore charcoal-burning suicide trends from 1996 to 2020 in Taiwan. Methods: Joinpoint regression models were applied to identify suicide trends over the study period. Decompositional analyses quantified the contributions of age, sex, suicide method, and area of residence to suicide rate trends, accounting for age and geographical distribution of the general population, with a focus on charcoal-burning suicide. Results: There were three stages of suicide rate trends: increasing (1996-2006), descending (2006-2011), and levelling-off (2011-2020). Suicide by charcoal-burning accounted for 70% of the increasing suicide rates between 1996 and 2006 and 50% of the decreasing rates in the descending stage (2011-2020). During the levelling-off stage, suicide by charcoal-burning continued to decrease, albeit slowly. During the descending stage, there was a partial "substitution" of jumping for charcoal-burning. During the levelling-off stage, suicide by hanging partially "substituted" for suicide by charcoal-burning. Limitations: The variables included were limited by data availability. Conclusions: Charcoal-burning remains the second most common method of suicide in Taiwan today. Charcoal-burning has been partially replaced in the last 10 years by jumping and hanging. Monitoring suicide methods and trends is essential for suicide prevention interventions.

Exploring the link between the increase in high-rise buildings and youth jumping suicide in Taiwan: A longitudinal study.

INTRODUCTION: From 2010 to 2021, suicide rates in 15-24 age group in Taiwan increased by 70%, with jumping being the most common method in 2021. We examined the link between the rise in youth suicides and the increase in high-rise buildings during this period. METHODS: Spearman's correlation coefficients and negative binomial mixed-effects models were employed to assess the association between the increase in high-rise buildings and jumping suicides over time. RESULTS: Spearman's correlation coefficients of high-rise buildings and jumping suicide rates in youth decreased from 0.692 (p < 0.001) in 2010 to 0.354 (p = 0.11) in 2021. Negative binomial mixed-effects models showed that although jumping suicide rates in youths increased over time, the increase in numbers of high-rise buildings was not related to rates of youth suicide by jumping. Conversely, in older age groups, the correlations were still prominent. CONCLUSION: Despite the rising trend in youth suicides by jumping over the past 11 years, our study refutes the intuitive notion that the increase in high-rise buildings contributes to this trend. It is imperative to identify and address other potential factors, such as academic stress and/or family disruptions, for effective prevention of youth suicide.

Evaluating potential effects of distress symptoms' interventions on suicidality: Analyses of in silico scenarios.

BACKGROUND: Complexity science perspectives like the network approach to psychopathology have emerged as a prominent methodological toolkit to generate novel hypotheses on complex etiologies surrounding various mental health problems and inform intervention targets. Such approach may be pivotal in advancing early intervention of suicidality among the younger generation (10-35 year-olds), the increasing burden of which needs to be reversed within a limited window of opportunity to avoid massive long-term repercussions. However, the network approach currently lends limited insight into the potential extent of proposed intervention targets' effectiveness, particularly for target outcomes in comorbid conditions. METHODS: This paper proposes an in silico (i.e., computer-simulated) intervention approach that maps symptoms' complex interactions onto dynamic processes and analyzes their evolution. The proposed methodology is applied to investigate potential effects of changes in 1968 community-dwelling individuals' distress symptoms on their suicidal ideation. Analyses on specific subgroups were conducted. Results were also compared with centrality indices employed in typical network analyses. RESULTS: Findings concur with symptom networks' centrality indices in suggesting that timely deactivating hopelessness among distressed individuals may be instrumental in preventing distress to develop into suicidal ideation. Additionally, however, they depict nuances beyond those provided by centrality indices, e.g., among young adults, reducing nervousness and tension may have similar effectiveness as deactivating hopeless in reducing suicidal ideation. LIMITATIONS: Caution is warranted when generalizing findings here to the general population. CONCLUSION: The proposed methodology may help facilitate timely agenda-setting in population mental health measures, and may also be augmented for future co-creation projects.

Patterns in suicide by marital status in Hong Kong, 2002-2020: Is marriage still a protective factor against suicide?

BACKGROUND: Marriage has long been considered protective against suicide, but shifting social norms since 2000 in Hong Kong raise doubts regarding whether this is still the case. The aim of the study was to investigate the changing association between suicide and marital status. METHODS: Official suicide data for 2002-2020 in Hong Kong were obtained. Suicide rates and suicide risk ratios were calculated by gender, age group, and marital status (married, never-married, widowed, divorced/separated). RESULTS: Suicide risk decreased significantly over time for men and women of all ages. People who were never-married, divorced/separated, had significantly higher suicide risks than their married counterparts. Increasing suicide risks over time were observed for never-married men aged 20-49 years, never-married women aged 35-49 years, and divorced/separated men aged 20-34 years. Widowed men and women of any age had higher suicide risks compared with previous studies in Hong Kong. LIMITATIONS: Marital status is a time-varying covariate, and the time spent in a given marital status could affect suicide risk. Some age and gender subgroups had much smaller sample sizes than others, thus it is possible that our suicide risk estimates were overestimated. CONCLUSIONS: Despite rapidly social changing in Hong Kong during the study period, marriage remains a strong protective factor against suicide for men and women. The protective effect is particularly evident for younger people. Increasing suicide rates for divorced/separated, never-married, or widowed people suggest that they require more psychosocial support.

Dynamic reciprocal relationships between traditional media reports, social media postings, and youth suicide in Taiwan between 2012 and 2021.

Rising social media use over the past decade has been linked with increasing suicide rates among young people. Previous studies that assessed the impact of social media on suicide have typically focused on single social media platforms, such as Twitter, and assumed unidirectional associations, where social media posts leads to suicide. Our study focused on the past decade (2012-2021) which has witnessed a rapid increase of social media platforms and use. Poisson and negative binominal auto-regression models were employed to examine the dynamic reciprocity between social media, traditional media and youth suicides in Taiwan. Increased volume in suicide-related social media posts positively correlated with increased youth suicide rates (ß = 2.53 × 10-5, 95% CI= (0.83 × 10-5, 4.24 × 10-5), P < 0.01), but increased rates of youth suicide was not related to an increase in suicide-related social media posts. Suicide-related posts on social media triggered reporting of suicide-related news on traditional media platforms (ß = 3.35 × 10-2, 95% CI= (2.51 × 10-2, 4.19 × 10-2), P < 0.001), whilst traditional media reports of suicide led to increased suicide-related social media posts (ß = 6.13 × 10-1, 95% CI = (4.58 × 10-1, 7.68 × 10-1); P < 0.001). However, suicide-related reports on traditional media platforms did not directly lead to an increase in youth suicide rates. Our findings highlight challenges for suicide prevention strategies in the 21st Century, in dealing with the increasing prominence of social media over traditional media. As social media is more difficult to regulate than traditional media, suicide prevention efforts must adapt to this new landscape by developing innovative strategies that address the unique risks and opportunities presented by social media.

A network approach to understand co-occurrence and relative importance of different reasons for suicide: a territory-wide study using 2002-2019 Hong Kong Coroner's Court reports.

Background: Suicide is a complex and multifaceted issue, and suicidal behaviors are often driven by multiple, interacting factors. It has been challenging to identify reasons for suicide using existing scientific methodologies. This study aims to identify critical reasons for suicide and suicidal behaviors through the application of novel network science methods. Methods: Based on cases investigated by the Hong Kong Coroner's Court from 2002 to 2019, we modelled identified reasons for 13,001 suicide cases as a co-occurrence network, and calculated each reason's eigencentrality to determine their respective relative importance. We then analyzed the temporal and demographic changes in the structure and eigencentrality of the network. We further conducted simulation studies based on the United Nations population projection to assess potential burden of different reasons for suicide on the population in the coming years. Findings: School-related issues had the highest eigencentrality (eigencentrality = 0.49) for individuals younger than 20 years of age. Financial issues were crucial for adults aged 20-59 years, but their importance differed between males (eigencentrality = 0.51) and females (eigencentrality = 0.14). Physical illness (eigencentrality = 0.80) was the core concern for adults over 60 years. Across the Hong Kong population, the reasons for suicide appear to have shifted from financial issues in the early 2000s (eigencentrality = 0.46) to issues related to physical illnesses since 2011 (eigencentrality = 0.58). Simulation findings indicate that, by 2050, most suicides in Hong Kong will be due to physical illness-related issues (eigencentrality = 0.69) due to the rapidly aging population. Interpretation: There have been important sex and age differences over time, in reasons for suicide. Given the projected increasing age of the Hong Kong population over the next decades, older adults with physical illnesses appear to be the highest contributors to suicide cases in the overall population. This novel network analysis approach provides important data-driven information upon which to base effective proactive public health suicide prevention strategies and interventions. Funding: Hong Kong Jockey Club Charities Trust, Collaborative Research Fund (C7151-20G), and General Research Fund (17606521).

Evaluating the effectiveness of concurrent sessions and counselors' attention allocation in online counseling.

OBJECTIVE: With its anonymity and accessibility, text-based online counseling has shown great potential in reaching people with mental health needs. One strategy adopted to meet the service gap is concurrent counseling, that is, each counselor attending to more than one client at a time. To date, there is no reported evidence supporting its rationality and effectiveness. This study investigated the potential opportunities, effectiveness, and caveats in concurrent service delivery and identified the optimal cutoff number of concurrent sessions while maintaining the quality of service at or above a set threshold. METHOD: We analyzed the transcript of 54,716 online counseling sessions from Open Up, a free, 24/7 text-based counseling service, to develop an attention score that measures the attention allocation of counselors and examined the impact of the counselor's attention allocation on client satisfaction and service outcomes. RESULTS: On average, compared to nonconcurrent sessions, concurrent sessions were longer, more likely to end prematurely, and had lower client satisfaction. We also identified an optimal attention score of approximately 0.4 (out of 1.0, which denotes full attention), which translates to two to three concurrent sessions. CONCLUSIONS: This study provides empirical evidence for the feasibility of conducting multiple text-based sessions concurrently without compromising service quality and client experience. Our method of measuring the counselor attention allocation offers a way to systematically assess and evaluate concurrent sessions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Preventing comorbidity between distress and suicidality: a network analysis.

Suicidality among individuals between 10 and 35 years of age may be poised to exert massive burdens on society through decreased economic productivity and increased incidence of chronic physical conditions in the individuals' later years, thereby necessitating early prevention of suicide. While research suggests that the pathway to suicidality may begin from episodes of psychological distress, such pathway may involve complex interplays between intermediary psychiatric symptoms and external stimuli that are not easily delineated through conventional means. This study applies the network approach to psychopathology to elucidate this complexity. Comorbidity between psychological distress and suicidality in 1968 community-dwelling individuals is analyzed with regularized partial correlation networks to identify their bridge symptoms and links. Temporal relationships between symptoms are analyzed through temporal symptom network formed from 453 individuals who completed subsequent follow-up surveys. Network analysis shows that feelings of hopelessness and the presence of suicidal ideation are the strongest bridge symptoms in the comorbidity symptom network, and form the only prominent link that bridges psychological distress and suicidality. Effects of sleep troubles, anxiety, and poor social relationships on suicidal ideation appear to be mediated by hopelessness. The same observations hold among individuals with and without diagnoses of psychiatric disorders, as well as young people (10-24 year-olds) and young adults (25-35 year-olds). The edge between hopelessness and suicidal ideation remains the strongest bridge link after controlling for effects of symptoms from the previous time point. Findings here provide an evidence base for both professional training in caregiving professions as well as gatekeeper training in community members to emphasize more on how to effectively recognize hopelessness, and instill hope, in young people and young adults for various types of distress.

An integrated framework of mobile crowd estimation for the 2019, July 1st rally in Hong Kong.

Traditional approach of mobile crowd estimation involves counting a group of individuals at a specific place, manually, in real-time. It is a laborious exercise that can be physically and mentally demanding. In Hong Kong, a large rally can last more than six hours, making the manual count method susceptible to human errors. While crowd counting using object detection and tracking has been well-established in computer vision, such application has remained relatively small scale within a controlled indoor setting (e.g. counting people at fixed gateways in a mall). No attempt to date has applied the automatic crowd counting method to count hundreds of thousands of people along an open stretch of rally route within the complex urban outdoor landscape. This research proposed an integrated approach that combines the capture-recapture method in statistics and a Convolutional Neural Network (CNN) method in computer vision to count the mobile crowd. The research teams implemented the integrative approach and counted 276,970 people with a 95% confidence interval of 263,663 to 290,276 in the 2019, July 1st Rally in Hong Kong. This work counted the attendance of a large-scale rally as a proof of concept to fill in a gap in the empirical studies. The intellectual merits and research findings shed useful insights to improve mobile population estimation and leverage alternative data sources to support related scientific applications.

Developing and validating a parser-based suicidality detection model in text-based mental health services.

BACKGROUND: Advances in text-mining can potentially aid online text-based mental health services in detecting suicidality. However, false positive remains a challenge. METHODS: Data of a free 24/7 online text-based counseling service in Hong Kong were used to develop a novel parser-based algorithm (PBSD) to detect suicidal ideation while minimizing false alarms. Sessions containing keywords related to suicidality were extracted (N = 1267). PBSD first applies a sentence parser to work out the grammatical structure of each sentence, including subject, object, dependent and modifier. Then a set of syntax rules were applied to judge if a flagged sentence is a true or false positive. Half of the sessions were randomly selected to train PBSD, the remaining were used as the test set. A standard keywords matching model was adopted as the baseline comparison. Accuracy and recall were reported to demonstrate models' performance. RESULTS: Of the 1267 sessions, 585 (46.2 %) were false alarms. The false alarms were categorized into four types: negation-induced false alarms (NIFA; 14 %), subject-induced false alarms (SIFA; 19 %), tense-induced false alarms (TIFA; 30 %), and other types of false alarms (OTFA; 37 %). PBSD significantly outperforms the baseline keywords matching model on accuracy (0.68 vs 0.53, 28.3 %). It successfully amended 36.8 % (105/297) lexicon matching-caused false alarms. The reduction on recall was marginal (1 vs 0.96, 4 %). CONCLUSIONS: The proposed model significantly improves the use of lexicon-based method by reducing false alarms and improving the accuracy of suicidality detection. It can potentially reduce unnecessary panic and distraction caused by false alarms among frontline service-providers.

Gone Too Soon: priorities for action to prevent premature mortality associated with mental illness and mental distress.

Globally, too many people die prematurely from suicide and the physical comorbidities associated with mental illness and mental distress. The purpose of this Review is to mobilise the translation of evidence into prioritised actions that reduce this inequity. The mental health research charity, MQ Mental Health Research, convened an international panel that used roadmapping methods and review evidence to identify key factors, mechanisms, and solutions for premature mortality across the social-ecological system. We identified 12 key overarching risk factors and mechanisms, with more commonalities than differences across the suicide and physical comorbidities domains. We also identified 18 actionable solutions across three organising principles: the integration of mental and physical health care; the prioritisation of prevention while strengthening treatment; and the optimisation of intervention synergies across social-ecological levels and the intervention cycle. These solutions included accessible, integrated high-quality primary care; early life, workplace, and community-based interventions co-designed by the people they should serve; decriminalisation of suicide and restriction of access to lethal means; stigma reduction; reduction of income, gender, and racial inequality; and increased investment. The time to act is now, to rebuild health-care systems, leverage changes in funding landscapes, and address the effects of stigma, discrimination, marginalisation, gender violence, and victimisation.

Is internet gaming disorder associated with suicidal behaviors among the younger generation? Multiple logistic regressions on a large-scale purposive sampling survey.

The ubiquity of Internet gaming as part of the younger generation's (11-35 year-olds) lifestyle to-day warrants a deeper understanding of its impact on their mental health. In particular, there has been scant research investigating the link between Internet Gaming Disorder (IGD) and suicidal behaviors in this demographic group, even though several mental health symptoms of the former are known risk factors for the latter. This paper aims to establish the presence or absence of association between IGD and each of suicidal ideation, self-harm, and suicide attempt among the younger generation. A large-scale online survey on Internet gamers in Hong Kong was conducted in February 2019. 3430 respondents were recruited through purposive sampling. Study samples were stratified into distinct age groups and multiple logistic regression was conducted for each measured suicidal behavior in each age group. After controlling for sociodemographics, Internet usage, self-reported bullying perpetration and bullying victimization, social withdrawal, and self-reported psychiatric diagnoses such as depression and psychosis, analyses revealed that adolescent (11-17 year-old) gamers with IGD were more likely than their peers who had no IGD to have had suicidal ideation, self-harm, and suicide attempt in their lifetime. These associations did not hold for 18-35 year-old gamers. Findings suggest that it may be prudent to recognize IGD as a growing public mental health priority for the young populace, particularly adolescents. Existing suicide prevention efforts can be complemented through screening adolescents for IGD, and could be expanded to online gaming platforms to reach more hidden at-risk individuals.

One stream, two channels? A parallel-process latent class growth model of homicide rates and suicide rates in 183 countries, between 2000 and 2019.

Background: Suicide and homicide have long been viewed in Western culture as moral, ethical and legal equivalents. This view has underpinned many theoretical and empirical explorations into their relationship over the centuries. However, there has been little evaluation of longitudinal heterogeneity. Methods: Suicide and homicide rates in 183 countries between 2000 and 2019 were collected from the World Health Organization Global Health Observatory Repository. Corresponding structural variables (i.e., GDP per capita, unemployment rate, percentage of urban population, percentage of elderly population, and Gini index) were acquired from The World Bank and Standardized World Income Inequality Database. Parallel-process latent class growth modelling was applied to identify different classes within the joint suicide and homicide rate trajectories. Multinomial logistic regression examined relationships between the structural covariates and trajectory classes. Results: Four trajectory classes were identified, two with inverse relationships between suicide and homicide, and two with parallel relationships: 1) countries with increasing suicide rates and decreasing homicide rates ("suicide up, homicide down": UD, n = 41) or 2) countries with decreasing suicide rates and increasing homicide rates ("suicide down, homicide up": DU, n = 17); and 3) countries where suicide and homicide rates both trended up (UU, n = 19), or 4) both trended down (DD, n = 106). A higher average annual growth rate (AAGR) of GDP per capita was related to an increased possibility of being in DD than in DU. Countries with higher AAGR in unemployment rates were more likely to be in UD and UU than in DD, while those with higher AAGR in urbanization were less likely to be in UD than in DD. Conclusion: The over-time relationship between suicide and homicide is heterogenous and complex. It is influenced differently by GDP per capita, urbanization and unemployment in different countries, and it is not well described by a single theory.

Psychometric properties of the Patient Health Questionnaire-4 among Hong Kong young adults in 2021: Associations with meaning in life and suicidal ideation.

Background: Young adults in Hong Kong are subject to elevated psychological distress given the societal stressors such as civil unrest and COVID-19 pandemic and suicide is a leading cause of death among them. The present study aimed to evaluate the psychometric properties and measurement invariance of the 4-item Patient Health Questionnaire-4 (PHQ-4) as a brief measure of psychological distress and its associations with meaning in life and suicidal ideation (SI) in young adults. Materials and methods: A mobile survey recruited a large and random sample of 1,472 young adults (Mean age = 26.3 years, 51.8% males) in Hong Kong in 2021. The participants completed the PHQ-4 and Meaning in Life Questionnaire-short form (MLQ-SF) for presence of meaning in life (MIL), SI, COVID-19 impact, and exposure to suicide. Confirmatory factor analysis was conducted to examine the factorial validity, reliability, and measurement invariance of PHQ-4 and MLQ-SF across gender, age, and distress subgroups. Multigroup structural equation model evaluated and compared the direct and indirect effects of latent MIL factor on SI via latent PHQ-4 factor across distress groups. Results: Both MIL and PHQ-4 supported a 1-factor model with good composite reliability (Ω = 0.80-0.86) and strong factor loadings (λ = 0.65-0.88). Both factors showed scalar invariance across gender, age, and distress groups. MIL showed significant and negative indirect effects (αß = -0.196, 95% CI = -0.254 to -0.144) on SI via PHQ-4. PHQ-4 showed a stronger mediating role between MIL and SI in the distress group (Δ = -0.146, 95% CI = -0.252 to -0.049) than the non-distress group. Higher MIL predicted higher likelihoods of help-seeking (Odds ratios = 1.46, 95% CI = 1.14-1.88). Conclusion: The present results support adequate psychometric properties in terms of factorial validity, reliability, convergent validity, and measurement invariance for the PHQ-4 in young adults in Hong Kong. The PHQ-4 demonstrated a substantial mediating role in the relationship between meaning in life and SI in the distress group. These findings support clinical relevance for using the PHQ-4 as a brief and valid measure of psychological distress in the Chinese context.

Uncovering sample heterogeneity in gaming and social withdrawal behaviors in adolescent and young adult gamers in Hong Kong.

OBJECTIVE: The current study aimed to examine the latent heterogeneity of gaming and social withdrawal behaviors in internet gamers and their associations with help-seeking behaviors. METHOD: The present study recruited 3430 young people (1874 adolescents and 1556 young adults) in Hong Kong in 2019. The participants completed the Internet Gaming Disorder (IGD) Scale, Hikikomori Questionnaire, and measures on gaming characteristics, depression, help-seeking, and suicidality. Factor mixture analysis was used to classify the participants into latent classes based on their latent factors of IGD and hikikomori in separate age groups. Latent class regressions examined the associations between help-seeking and suicidality. RESULTS: Both adolescents and young adults supported a 4-class, 2-factor model on gaming and social withdrawal behaviors. Over two-third of the sample were classified as healthy or low-risk gamers with low IGD factor means and low prevalence of hikikomori. Around one-fourth was moderate-risk gamers with elevated prevalence of hikikomori, higher IGD symptoms and psychological distress. A minority of the sample (3.8%-5.8%) belonged to high-risk gamers with the highest IGD symptoms and prevalence of hikikomori and heightened suicidal risks. Help-seeking in low-risk and moderate-risk gamers was positively associated with depressive symptoms and negatively associated with suicidal ideation. Perceived usefulness of help-seeking was significantly linked with lower likelihoods of suicidal ideation in the moderate-risk gamers and suicide attempt in the high-risk gamers. CONCLUSIONS: The present findings explicate the latent heterogeneity of gaming and social withdrawal behaviors and associated factors on help-seeking and suicidality among internet gamers in Hong Kong.