Psychosocial and financial well-being mediated the effects of COVID-19 distress on suicidality: a serial mediation model among Hong Kong young adults.

PURPOSE: The COVID-19 pandemic has brought significant distress on not only the physical health but also mental health of individuals. The present study investigated the direct and indirect effects from COVID-19 distress to suicidality via psychosocial and financial well-being among young people. METHODS: This cross-sectional survey recruited 1472 Hong Kong young people via random sampling in 2021. The respondents completed a phone survey on COVID-19 distress, the four-item Patient Health Questionnaire and items on social well-being, financial well-being, and suicidality. Structural equation modeling (SEM) was conducted to examine the direct and indirect effects of COVID-19 distress on suicidality via psychosocial and financial well-being. RESULTS: The direct effect of COVID-19 distress on suicidality was not significant (ß = 0.022, 95% CI - 0.097-0.156). The total indirect effect from COVID-19 distress to suicidality was significant and positive (αßγ = 0.150, 95% CI = 0.085-0.245) and accounted for 87% of the total effect (B = 0.172, 95% CI = 0.043-0.341). There were significant specific indirect effects via social well-being and psychological distress, and financial well-being and psychological distress. CONCLUSION: The present findings support different pathways from COVID-19 distress to suicidality via functioning in different domains among young people in Hong Kong. Measures are needed to ameliorate the impact on their social and financial well-being to reduce their psychological distress and suicidality.

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study.

BACKGROUND: Sentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its colloquialism and multilingualism, make it different from other languages and pose additional challenges to sentiment analysis. Recent advances in models such as ChatGPT offer potential viable solutions. OBJECTIVE: This study investigated the efficacy of GPT-3.5 and GPT-4 in Cantonese sentiment analysis in the context of web-based counseling and compared their performance with other mainstream methods, including lexicon-based methods and machine learning approaches. METHODS: We analyzed transcripts from a web-based, text-based counseling service in Hong Kong, including a total of 131 individual counseling sessions and 6169 messages between counselors and help-seekers. First, a codebook was developed for human annotation. A simple prompt ("Is the sentiment of this Cantonese text positive, neutral, or negative? Respond with the sentiment label only.") was then given to GPT-3.5 and GPT-4 to label each message's sentiment. GPT-3.5 and GPT-4's performance was compared with a lexicon-based method and 3 state-of-the-art models, including linear regression, support vector machines, and long short-term memory neural networks. RESULTS: Our findings revealed ChatGPT's remarkable accuracy in sentiment classification, with GPT-3.5 and GPT-4, respectively, achieving 92.1% (5682/6169) and 95.3% (5880/6169) accuracy in identifying positive, neutral, and negative sentiment, thereby outperforming the traditional lexicon-based method, which had an accuracy of 37.2% (2295/6169), and the 3 machine learning models, which had accuracies ranging from 66% (4072/6169) to 70.9% (4374/6169). CONCLUSIONS: Among many text analysis techniques, ChatGPT demonstrates superior accuracy and emerges as a promising tool for Cantonese sentiment analysis. This study also highlights ChatGPT's applicability in real-world scenarios, such as monitoring the quality of text-based counseling services and detecting message-level sentiments in vivo. The insights derived from this study pave the way for further exploration into the capabilities of ChatGPT in the context of underresourced languages and specialized domains like psychotherapy and natural language processing.

Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering.

BACKGROUND: Due to their accessibility and anonymity, web-based counseling services are expanding at an unprecedented rate. One of the most prominent challenges such services face is repeated users, who represent a small fraction of total users but consume significant resources by continually returning to the system and reiterating the same narrative and issues. A deeper understanding of repeated users and tailoring interventions may help improve service efficiency and effectiveness. Previous studies on repeated users were mainly on telephone counseling, and the classification of repeated users tended to be arbitrary and failed to capture the heterogeneity in this group of users. OBJECTIVE: In this study, we aimed to develop a systematic method to profile repeated users and to understand what drives their use of the service. By doing so, we aimed to provide insight and practical implications that can inform the provision of service catering to different types of users and improve service effectiveness. METHODS: We extracted session data from 29,400 users from a free 24/7 web-based counseling service from 2018 to 2021. To systematically investigate the heterogeneity of repeated users, hierarchical clustering was used to classify the users based on 3 indicators of service use behaviors, including the duration of their user journey, use frequency, and intensity. We then compared the psychological profile of the identified subgroups including their suicide risks and primary concerns to gain insights into the factors driving their patterns of service use. RESULTS: Three clusters of repeated users with clear psychological profiles were detected: episodic, intermittent, and persistent-intensive users. Generally, compared with one-time users, repeated users showed higher suicide risks and more complicated backgrounds, including more severe presenting issues such as suicide or self-harm, bullying, and addictive behaviors. Higher frequency and intensity of service use were also associated with elevated suicide risk levels and a higher proportion of users citing mental disorders as their primary concerns. CONCLUSIONS: This study presents a systematic method of identifying and classifying repeated users in web-based counseling services. The proposed bottom-up clustering method identified 3 subgroups of repeated users with distinct service behaviors and psychological profiles. The findings can facilitate frontline personnel in delivering more efficient interventions and the proposed method can also be meaningful to a wider range of services in improving service provision, resource allocation, and service effectiveness.

Gender differences in the relationships between meaning in life, mental health status and digital media use during Covid-19.

BACKGROUND: The COVID-19 pandemic has had a significant impact on individuals' social lives, mental health status, and meaning in life (MIL). Globally, the use of different types of digital media has become a proxy for pre-COVID social lives for many people. This study investigated gender differences in the relationship between use of digital media, mental health status and MIL, during COVID-19 in Hong Kong. METHODS: This cross-sectional study surveyed 1,488 young people recruited via city-wide random sampling in 2021. Respondents completed a phone survey on digital media use, Patient Health Questionnaire (PHQ-2), Generalized Anxiety Disorder (GAD-2), COVID-19 impact, meaning in life, and demographics. Gender differences in MIL were tested with an independent sample t-test. Gender-specific multiple linear regression models tested associations between MIL and explanatory variables of age, educational level, history of diagnosis, digital media use, and mental health status. RESULTS: There was a significant gender difference in MIL (males (M = 12.90, SD = 4.12); females (M = 13.45, SD = 3.96); t (1485) = -2.656, p = .008). For males, all variables significantly associated to MIL (F (9, 759) = 15.731, p < .000, R2 = .157). However, for females, while the overall model for MIL was significant (F (9, 709) = 12.105, p < .001, R2 = .133), the only significant associated variable was mental health status. CONCLUSION: Females had significantly better MIL under COVID-19 than males. Digital media use contributed to MIL in males but not females, and there were gender-specific associated factors of MIL.

The evolution of charcoal-burning suicide: A systematic scoping review.

INTRODUCTION: Suicide by charcoal burning has accounted for more than 100,000 deaths. It has become an increasingly common suicide method in Hong Kong since first reported in 1998, and it has spread into South Korea, Taiwan, Japan and other countries. This systematic scoping review aimed to explore current evidence on trends, risk factors, impact of media and prevention strategies for this suicide method, and to identify research gaps. METHODS: A search for articles published from January 1998 to June 2021 was conducted through electronic databases (MEDLINE, EMBASE, SCOPUS and PsycINFO) with the keywords (suicide*) AND (charcoal). Articles describing prevalence, trends, characteristics, risk factors and prevention strategies of charcoal burning suicide deaths were included. Non-peer-reviewed articles, non-English articles, commentaries/editorials/letters, poster abstracts, reviews, meta-analyses and studies that documented only charcoal burning suicide attempters/survivors were excluded. RESULTS: Eighty-eight studies were identified, most from East Asia. Charcoal burning suicide rates in Hong Kong, Taiwan and Japan has passed the peak, while continuing to increase in South Korea. Risk factors are changing and not static. Media appears to play an important role in triggering and spreading information. Restricting access to charcoal, and raising public awareness have been effective in the short term in preventing charcoal burning suicide, but there is little information on their long-term effectiveness or sustainability. DISCUSSION: More research is required to update the development and dynamic changes of charcoal burning suicide and the contributing factors. The evidence from this review may assist in detecting and intervening early for future novel suicide methods.

Suicidal/self-harm behaviors among cancer patients: a population-based competing risk analysis.

BACKGROUND: Cancer patients had elevated risk of suicidality. However, few researches studied the risk/protective factors of suicidal/self-harm behaviors considering the competing risk of death. The objective of this study is to systematically investigate the risk of suicidal/self-harm behaviors among Hong Kong cancer patients as well as the contributing factors. METHODS: Patients aged 10 or above who received their first cancer-related hospital admission (2002-2009) were identified and their inpatient medical records were retrieved. They were followed for 365 days for suicidal/self-harm behaviors or death. Cancer-related information and prior 2-year physical and psychiatric comorbidities were also identified. Competing risk models were performed to explore the cumulative incidence of suicidal/self-harm behavior within 1 year as well as its contributing factors. The analyses were also stratified by age and gender. RESULTS: In total, 152 061 cancer patients were included in the analyses. The cumulative incidence of suicidal/self-harm behaviors within 1 year was 717.48/100 000 person-years. Overall, cancer severity, a history of suicidal/self-harm behaviors, diabetes and hypertension were related to the risk of suicidal/self-harm behaviors. There was a U-shaped association between age and suicidal/self-harm behaviors with a turning point at 58. Previous psychiatric comorbidities were not related to the risk of suicidal/self-harm behaviors. The stratified analyses confirmed that the impact of contributing factors varied by age and gender. CONCLUSIONS: Cancer patients were at risk of suicidal/self-harm behaviors, and the impacts of related factors varied by patients' characteristics. Effective suicide prevention for cancer patients should consider the influence of disease progress and the differences in age and gender.

Demographic and epidemiological decomposition analysis of global changes in suicide rates and numbers over the period 1990-2019.

BACKGROUND: Suicide presents an ongoing public health challenge internationally. Nearly 800 000 people around the world lose their life to suicide every year, and many more attempt suicide. METHODS: A decomposition analysis was performed using global suicide mortality and population data from the Global Burden of Disease Study 2019. RESULTS: Despite a significant decrease in age-specific suicide rate between 1990 and 2019 (-4.01; from 13.8% to 9.8% per 100 000), the overall numbers of suicide deaths increased by 19 897 (from 738 799 to 758 696) in the same time period. The reductions in age-specific suicide rates (-6.09; 152%) contributed to the overall reductions in suicide rates; however, this was offset by overtime changes in population age structure (2.08; -52%). The increase in suicide numbers was partly attributable to population growth (300 942; 1512.5%) and population age structure (189 512; 952.4%), which was attenuated by the significant reduction in overall suicide rates (-470 556; 2364.9%). The combined effect of these factors varied across the World Bank income level regions. For example, in the upper-middle-income level region, the effect of the reduction in age-specific suicide rates (-289 731; -1456.1%) exceeded the effect of population age structure (124 577; 626.1%) and population growth (83 855; 421.4%), resulting in its substantial decline in total suicide deaths (-81 298; -408.6%). However, in lower-middle income region, there was a notable increase in suicide death (72 550; 364.6%), which was related to the net gain of the reduction in age-specific suicide rates (-115 577; -580.9%) and negated by the increase in the number of suicide deaths due to population growth (152 093; 764.4%) and population age structure (36 034; 181.1%). CONCLUSION: More support and resources should be deployed for suicide prevention to the low-income and middle-income regions in order to achieve the reduction goal. Moreover, suicide prevention among older adults is increasingly critical given the world's rapidly ageing populations in all income level regions.

Home as the first site for suicide prevention: a Hong Kong experience.

INTRODUCTION: There has been little research into at-home suicide cases globally, and particularly in Asian regions. This study aimed to investigate the differences in characteristics between suicide cases in Hong Kong that occurred at home and elsewhere; identify at-home suicide hotspots in the community and compare the differences in area-level characteristics between suicide hotspots and other areas. METHODS: Suicide cases (2013-2017) were identified from Hong Kong Coroner's Court reports. Area-level socioeconomic data were retrieved from the 2016 Hong Kong census. Wilcoxon signed-rank tests, χ2 tests and multiple logistic regression models were applied to compare differences in characteristics between people committing suicide at home and elsewhere. Global hotspot tests (Moran's I and Getis-Ord General G) and local analysis (Getis-Ord Gi*) identified at-home suicide community hotspots. The Wilcoxon signed-rank test was used to compare differences in area-level characteristics between at-home suicide hotspots and non-hotspots. RESULTS: About 60% of suicide cases in Hong Kong occurred at home. Being female, widowed and/or living alone were significant predictors of at-home suicide cases. A U-shaped association between age and at-home suicide was identified, with 32 years of age being the critical turning point. An at-home suicide hotspot was identified in the north-western region of Hong Kong, which had lower median household income, higher income inequality and higher percentages of households with single elderly people, and new arrivals, compared with other areas. CONCLUSION: Suicide prevention should start at home by restricting access to suicide methods. Community-based suicide prevention interventions with improvement of social services should target vulnerable members in identified suicide hotspots.

The Use of Close Friends on Instagram, Help-Seeking Willingness, and Suicidality Among Hong Kong Youth: Exploratory Sequential Mixed Methods Study.

BACKGROUND: Social networking sites (SNSs) have gained popularity in recent years for help seeking and self-distress expression among adolescents. Although online suicidal expression is believed to have major benefits, various concerns have also been raised, particularly around privacy issues. Understanding youths' help-seeking behavior on SNSs is critical for effective suicide prevention; however, most research neglects the impacts of the private SNS context. OBJECTIVE: This study aims to examine youths' private SNS use via the new Instagram feature, Close Friends, and its association with both online and offline help-seeking willingness as well as youths' suicidality. METHODS: This study employed an exploratory sequential mixed methods approach with a combination of explorative qualitative interviews and a systematic quantitative survey, targeting youth aged 15-19 years in Hong Kong. The motivations for utilizing Close Friends and concerns regarding online expression were addressed in the focus group and individual interviews (n=40). A cross-sectional survey (n=1676) was conducted subsequently with eligible secondary school students to examine the prevalence of Close Friends usage, their online and offline help-seeking willingness, and suicide-related experiences. RESULTS: A total of 3 primary motives for using Close Friends were identified during interviews, including (1) interaction and help seeking, (2) release of negative emotions, and (3) ventilation and self-expression. Most participants also highlighted the privacy concerns associated with public online communication and the importance of contacting close friends for emotional support. Survey results showed that use of Close Friends was quite prevalent among adolescents (1163/1646, 70.66%), with around 46% (754/1646, 45.81%) of respondents being frequent users. Differences by gender and school academic banding were also revealed. Regarding help-seeking intentions, youths were generally positive about seeking help from peers and friends offline (1010/1266, 79.78%) yet negative about seeking assistance from online friends or professionals with whom they had not yet developed a real-world connection (173/1266, 13.67%). Most notably, frequencies of Close Friends usage were differentially associated with online and offline help-seeking willingness and youths' suicidality. Compared with nonusers, those who had ever used the feature were more likely to seek offline support (adjusted odds ratios [AORs] 1.82-2.36), whereas heavy use of Close Friends was associated with increased odds of online help-seeking willingness (AOR 1.76, 95% CI 1.06-2.93) and a higher risk of suicidality (AOR 1.53, 95% CI 1.01-2.31). CONCLUSIONS: The popularity of Close Friends reflects the increasing need for private online expression among youth. This study demonstrates the importance of Close Friends for self-expression and private conversation and inadequacy of peer support for suicidal adolescents. Further research is needed to identify the causal relationship between Close Friends usage and help-seeking willingness to guide the advancement of suicide prevention strategies. Researchers and social media platforms may cooperate to co-design a risk monitoring system tailored to the private SNS context, assisting professionals in identifying youth at risk of suicide.

Suicide trends varied by age-subgroups during the COVID-19 pandemic in 2020 in Taiwan.

BACKGROUND/PURPOSE: The outbreak of the Coronavirus disease 2019 (COVID-19) has led to unprecedented impact on mental health globally. Recent empirical data however, indicated that suicide rates in many countries remained unchanged or even decreased. Existing studies assessed the overall rates and did not stratify by age-subgroups. METHODS: We used an interrupted time-series analysis to model the age-stratified (<25, 25-44, 45-64, ≥65) trends in monthly suicide rates before (January 1st, 2017 to December 31st, 2019) and after (January 1st 2020 to December 31st 2020) the outbreak of COVID-19 in Taiwan. RESULTS: We found a slight decrease in overall suicide rates after the outbreak (annual average rates were 16.4 and 15.5 per 100,000 population, respectively, p = 0.05). Age-stratified analysis indicated that suicide rates increased in younger (<25) and decreased in the middle age group (25-64 years). In older age groups (≥65), an immediate rate decrease was observed followed by a sustained upward trend during the onset of the pandemic. CONCLUSION: Although an overall decrease in annual suicide rates was found after the outbreak, the age-specific subgroup analysis reveals a more nuanced picture. Stratified analysis is crucial to identify vulnerable subgroups in the midst of the pandemic.

Quantifying the contributions of age, sex, methods, and urbanicity to the changing suicide rate trends in South Korea, 2001-2016.

PURPOSE: Suicide rates in South Korea have been one of the highest in the world. The aim of this study is to quantify the contributions of age, sex, method, and place of residence to the trends of the suicide rates between 2001 and 2016 in South Korea. METHODS: Using the suicide data obtained from the South Korean National Death Registration data set for the years 2001-2016, a Joinpoint regression analysis was conducted to determine if there was a significant change in the trend of suicide rates. Next, a decomposition analysis method was used to quantify the contributions of age, sex, method, and places of residence to the changes in the suicide rates. RESULTS: Suicide rates increased between 2001 and 2010, and decreased between 2010 and 2016. Among all the age groups, the 65-79 age group contributed most to the rise (18% in men and 7% in women) and fall (- 15% in men and - 14% in women) of suicide rates. Men contributed much more than women to the increasing trend of suicide rate (63.0% vs. 37.0%). Hanging was the key method of suicide, dominating the ups and downs of the suicide rates. The rates of suicide by pesticide poisoning have been decreasing since 2005 and suicide by charcoal burning continued to increase against a decreasing trend of suicide rate during the period of 2010-2016. The gap of the metropolitan-city-rural suicide rates was narrowing during the period under study, although the rural areas remained to have the highest suicide rates. CONCLUSION: The ups and downs of suicide rates in South Korea were not uniform across different sociodemographic groups. Age, sex, method, and place of residence contributed differently to the changes in suicide rates. Suicide prevention measures can be more focused on certain age-sex-method-region subgroups.

Profiles of higher earning wives in Hong Kong and the implications for marital satisfaction.

Higher earning wives are emerging as a global phenomenon; however, the profiles of higher earning wives and the implications for marital satisfaction remain unknown in Hong Kong. On the basis of a representative household survey of 689 Hong Kong Chinese couples in 2012, this study aimed to explore the profiles of higher earning wives in Hong Kong and examine the effect of wives' income advantage on the couples' marital satisfaction. Results indicated that higher earning wives were clustered into 2 groups. One group of higher earning wives was older, was better educated, held managerial and professional jobs, and lived in high-income families compared with lower earning wives. The other group of higher earning wives was not well educated, held nonprofessional jobs, and lived in low-income families. Higher earning wives reported similar marital satisfaction with lower earning wives as well as their husbands. However, higher earning wives with nonprofessional jobs and from low-income families reported lower life and marital satisfaction than did those with better socioeconomic status. The implications of these findings are discussed.

Suicidal ideation in patients with systemic lupus erythematosus: incidence and risk factors.

OBJECTIVE: To study the incidence of suicidal ideation in patients with SLE and the associated risk factors. METHODS: Consecutive patients who fulfilled four or more ACR criteria for SLE were recruited. Suicidal thought in the preceding month was assessed by three direct questions. The intensity of suicidal ideation was assessed by the validated Beck Scale for Suicidal Ideation (BSSI). Socio-demographic data, clinical manifestations, Hospital Anxiety and Depression Scale (HADS), SLEDAI and SLICC/ACR Damage Index (SDI) scores were compared between patients with and without suicidal thoughts. Linear regression was used to study the factors associated with higher BSSI scores. RESULTS: Of the 367 SLE patients studied (96% women; mean age 40.2 years (S.D. 13), mean disease duration 9.3 years (S.D. 7.2), 67 (18.3%) patients had clinically active SLE and 137 (37.3%) had organ damage (SDI ≥ 1). Suicidal thoughts were present in 44 (12%) patients. Patients with suicidal thoughts, compared with those without, had significantly higher mean SLEDAI scores in the preceding year [5.1 (S.D. 4.0) vs 2.9 (S.D. 2.7), P < 0.001], higher SDI [1.4 (S.D. 1.7) vs 0.6 (S.D. 1.1), P < 0.001], HADS-depression [11.2 (S.D. 4.7) vs 4.4 (S.D. 3.8), P < 0.001] and anxiety [12.2 (S.D. 4.9) vs 5.6 (S.D. 4.1), P < 0.001] scores, and were more likely to be unemployed (P = 0.02), have a past history of psychiatric disorders (P = 0.03) and previous suicide attempts (P = 0.02), as well as major life events in the preceding month (P = 0.006). Linear regression revealed that the BSSI score correlated significantly with the HADS-depression score (ß = 0.27, P = 0.001), previous suicide attempts (ß = 0.12, P = 0.03), major life events (ß = 0.13, P = 0.01) and cardiovascular SDI score (ß = 0.27, P < 0.001). CONCLUSION: Suicidal ideation is common in SLE and is more intense in patients with depressive symptoms, cardiovascular damage, recent life events and previous suicide attempts.

Validation of the Chinese version of the Reynolds' Suicidal Ideation Questionnaire: psychometric properties and its short version.

BACKGROUND: This study aims to validate the Chinese version of the Reynolds' Suicidal Ideation Questionnaire (SIQ) in a Chinese society and explore a convenient short version. METHODS: A sample of 711 cases was derived from two territory-wide surveys of Hong Kong adolescents aged between 15 and 19 years old. RESULTS: The SIQ and the Suicidal Ideation Questionnaire-Junior (SIQ-JR) demonstrated good reliability and concurrent validity among Hong Kong adolescents. However, the factor structure for both SIQ and SIQ-JR appeared to be unclear. A four-item short form of the SIQ-JR, namely, SIQ-JR-4, was proposed. CONCLUSION: The SIQ-JR-4 is an ideal substitute of the SIQ/SIQ-JR for future quick assessment of suicidal ideation in Chinese young adolescents.

A Markov chain model for studying suicide dynamics: an illustration of the Rose theorem.

BACKGROUND: High-risk strategies would only have a modest effect on suicide prevention within a population. It is best to incorporate both high-risk and population-based strategies to prevent suicide. This study aims to compare the effectiveness of suicide prevention between high-risk and population-based strategies. METHODS: A Markov chain illness and death model is proposed to determine suicide dynamic in a population and examine its effectiveness for reducing the number of suicides by modifying certain parameters of the model. Assuming a population with replacement, the suicide risk of the population was estimated by determining the final state of the Markov model. RESULTS: The model shows that targeting the whole population for suicide prevention is more effective than reducing risk in the high-risk tail of the distribution of psychological distress (i.e. the mentally ill). CONCLUSIONS: The results of this model reinforce the essence of the Rose theorem that lowering the suicidal risk in the population at large may be more effective than reducing the high risk in a small population.

Using Discrete-Event Simulation to Model Web-Based Crisis Counseling Service Operation: Evaluation Study.

BACKGROUND: According to the Organisation for Economic Co-operation and Development, its member states experienced worsening mental health during the COVID-19 pandemic, leading to an increase of 60% to 1000% in digital counseling access. Hong Kong, too, witnessed a surge in demand for crisis intervention services during the pandemic, attracting both nonrepeat and repeat service users during the process. As a result of the continuing demand, platforms offering short-term emotional support are facing an efficiency challenge in managing caller responses. OBJECTIVE: This aim of this paper was to assess the queuing performance of a 24-hour text-based web-based crisis counseling platform using a Python-based discrete-event simulation (DES) model. The model evaluates the staff combinations needed to meet demand and informs service priority decisions. It is able to account for unbalanced and overlapping shifts, unequal simultaneous serving capacities among custom worker types, time-dependent user arrivals, and the influence of user type (nonrepeat users vs repeat users) and suicide risk on service durations. METHODS: Use and queue statistics by user type and staffing conditions were tabulated from past counseling platform database records. After calculating the data distributions, key parameters were incorporated into the DES model to determine the supply-demand equilibrium and identify potential service bottlenecks. An unobserved-components time-series model was fitted to make 30-day forecasts of the arrival rate, with the results piped back to the DES model to estimate the number of workers needed to staff each work shift, as well as the number of repeat service users encountered during a service operation. RESULTS: The results showed a marked increase (from 3401/9202, 36.96% to 5042/9199, 54.81%) in the overall conversion rate after the strategic deployment of human resources according to the values set in the simulations, with an 85% chance of queuing users receiving counseling service within 10 minutes and releasing an extra 39.57% (3631/9175) capacity to serve nonrepeat users at potential risk. CONCLUSIONS: By exploiting scientifically informed data models with DES, nonprofit web-based counseling platforms, even those with limited resources, can optimize service capacity strategically to manage service bottlenecks and increase service uptake.

Utility of Single Items within the Suicidal Behaviors Questionnaire-Revised (SBQ-R): A Bayesian Network Approach and Relative Importance Analysis.

The Suicidal Behaviors Questionnaire-Revised (SBQ-R) comprises four content-specific items widely used to assess the history of suicide-related thoughts, plans or attempts, frequency of suicidal ideation, communication of intent to die by suicide and self-reported likelihood of a suicide attempt. Each item focuses on a specific parameter of the suicide-related thoughts and behaviors construct. Past research has primarily focused on the total score. This study used Bayesian network modeling and relative importance analyses on SBQ-R data from 1160 U.S. and 1141 Chinese undergraduate students. The Bayesian network analysis results showed that Item 1 is suitable for identifying other parameters of the suicide-related thoughts and behaviors construct. The results of the relative importance analysis further highlighted the relevancy of each SBQ-R item score when examining evidence for suicide-related thoughts and behaviors. These findings provided empirical support for using the SBQ-R item scores to understand the performances of different suicide-related behavior parameters. Further, they demonstrated the potential value of examining individual item-level responses to offer clinically meaningful insights. To conclude, the SBQ-R allows for the evaluation of each critical suicide-related thought and behavior parameter and the overall suicide risk.

Latent heterogeneity of deviant behaviors and associated factors among ethnic minority adolescents: a latent class analysis.

BACKGROUND: Deviant behaviors are common during adolescence. Despite the diversity of juvenile delinquency, the patterns of deviant behaviors remain unclear in ethnic minorities. The present study aimed to evaluate the latent heterogeneity of deviant behaviors and associated factors in ethnic minority Yi adolescents. METHODS: The present study recruited a large sample of 1931 ethnic minority Yi adolescents (53.4% females, mean age = 14.7 years, SD 1.10) in five secondary schools in 2022 in Sichuan, China. The participants completed measures on 13 deviant behaviors and demographic characteristics, attitudinal self-control, and psychological distress. Sample heterogeneity of deviant behaviors was analyzed via latent class analysis using class as the cluster variable. RESULTS: The data supported three latent classes with measurement invariance by sex. 68.2%, 28.0%, and 3.8% of the sample were in the Normative, Borderline, and Deviant class, with minimal, occasional, and extensive deviant behaviors, respectively. The Deviant class was more prevalent in males (6.5%) than females (1.6%). There were significant class differences in domestic violence, school belonging, self-control, anxiety, and depressive symptoms. Males, domestic violence, low school belonging, and impaired self-control significantly predicted higher odds of the Deviant and Borderline classes compared to the normative class. CONCLUSION: This study provided the first results on three latent classes of deviant behaviors with distinct profiles in ethnic minority adolescents in rural China. These results have practical implications to formulate targeted interventions to improve the psycho-behavioral functioning of the at-risk adolescents in ethnic minorities.

Suicide prevention in Hong Kong: pushing boundaries while building bridges.

Hong Kong is a natural laboratory for studying suicides-small geographic footprint, bustling economic activity, rapidly changing socio-demographic transitions, and cultural crossroads. Its qualities also intensify the challenges posed when seeking to prevent them. In this viewpoint, we showed the research and practices of suicide prevention efforts made by the Hong Kong Jockey Club Centre for Suicide Research and Prevention (CSRP), which provide the theoretical underpinning of suicide prevention and empirical evidence. CSRP adopted a multi-level public health approach (universal, selective and indicated), and has collaboratively designed, implemented, and evaluated numerous programs that have demonstrated effectiveness in suicide prevention and mental well-being promotion. The center serves as a hub and a catalyst for creating, identifying, deploying, and evaluating suicide prevention initiatives, which have the potential to reduce regional suicides rates when taken to scale and sustained.

Decoding Suicide Decedent Profiles and Signs of Suicidal Intent Using Latent Class Analysis.

Importance: Suicide rates in the US increased by 35.6% from 2001 to 2021. Given that most individuals die on their first attempt, earlier detection and intervention are crucial. Understanding modifiable risk factors is key to effective prevention strategies. Objective: To identify distinct suicide profiles or classes, associated signs of suicidal intent, and patterns of modifiable risks for targeted prevention efforts. Design, Setting, and Participants: This cross-sectional study used data from the 2003-2020 National Violent Death Reporting System Restricted Access Database for 306 800 suicide decedents. Statistical analysis was performed from July 2022 to June 2023. Exposures: Suicide decedent profiles were determined using latent class analyses of available data on suicide circumstances, toxicology, and methods. Main Outcomes and Measures: Disclosure of recent intent, suicide note presence, and known psychotropic usage. Results: Among 306 800 suicide decedents (mean [SD] age, 46.3 [18.4] years; 239 627 males [78.1%] and 67 108 females [21.9%]), 5 profiles or classes were identified. The largest class, class 4 (97 175 [31.7%]), predominantly faced physical health challenges, followed by polysubstance problems in class 5 (58 803 [19.2%]), and crisis, alcohol-related, and intimate partner problems in class 3 (55 367 [18.0%]), mental health problems (class 2, 53 928 [17.6%]), and comorbid mental health and substance use disorders (class 1, 41 527 [13.5%]). Class 4 had the lowest rates of disclosing suicidal intent (13 952 [14.4%]) and leaving a suicide note (24 351 [25.1%]). Adjusting for covariates, compared with class 1, class 4 had the highest odds of not disclosing suicide intent (odds ratio [OR], 2.58; 95% CI, 2.51-2.66) and not leaving a suicide note (OR, 1.45; 95% CI, 1.41-1.49). Class 4 also had the lowest rates of all known psychiatric illnesses and psychotropic medications among all suicide profiles. Class 4 had more older adults (23 794 were aged 55-70 years [24.5%]; 20 100 aged ≥71 years [20.7%]), veterans (22 220 [22.9%]), widows (8633 [8.9%]), individuals with less than high school education (15 690 [16.1%]), and rural residents (23 966 [24.7%]). Conclusions and Relevance: This study identified 5 distinct suicide profiles, highlighting a need for tailored prevention strategies. Improving the detection and treatment of coexisting mental health conditions, substance and alcohol use disorders, and physical illnesses is paramount. The implementation of means restriction strategies plays a vital role in reducing suicide risks across most of the profiles, reinforcing the need for a multifaceted approach to suicide prevention.