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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.
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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.
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OBJECTIVES: Due to statistical challenges in disentangling the mobility effect (i.e., intergenerational educational mobility) from the position effect (i.e., parental and person's own education), the impact of intergenerational educational mobility on cognitive function remains unclear. We employed a novel approach to identify the mobility effect and investigate the net impact of intergenerational educational mobility on heterogeneous patterns of cognition among middle-aged and older adults in China. METHODS: Participants aged 45 and older were recruited from the China Health and Retirement Longitudinal Study, a population-based prospective cohort study between 2011 and 2018. We identified cognitive trajectories using the growth mixture model (GMM) and subsequently employed the mobility contrast model (MCM) to examine the effects of intergenerational educational mobility on cognitive patterns stratified by gender. RESULTS: Almost two thirds of respondents experienced intergenerational educational mobility, and 55% experienced upward mobility. Men had a higher rate of upward mobility than women. Three population-based cognitive patterns were identified: the low cognitive function with decline group (28%), the moderate cognitive function group (47%), and the high cognitive function group (26%). MCM analysis revealed that both upward and downward intergenerational educational mobility negatively affected cognitive trajectory patterns, extending beyond the influence of individuals' current and parental education. DISCUSSION: In future research, the impact of mobility can be studied in longitudinal data sets by combining the GMM and MCM approaches. The net negative effect of intergenerational educational mobility on cognitive trajectory patterns indicates that it should be recognized as an independent predictor of cognitive decline.
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Cognition , Educational Status , Humans , Male , Female , Aged , Longitudinal Studies , China/epidemiology , Middle Aged , Cognition/physiology , Prospective Studies , Intergenerational Relations , Sex Factors , Cognitive Dysfunction/epidemiology , East Asian PeopleABSTRACT
Background: Post-acute sequelae of COVID-19, or long COVID, is a condition characterized by persistent COVID-19 symptoms. As long COVID is defined by clinical criteria after an elapsed period, an opportunity for early intervention may aid in future prophylactic approaches; however, at present, the pathobiological mechanisms are multifactorial. By analyzing early virally infected upper respiratory tract tissue prior to eventual clinical diagnosis, it may be possible to identify biomarkers of altered immune response to facilitate future studies and interventions. Methods: This is a sub-group analysis of samples collected from those with confirmed COVID-19. RNA extraction from nasopharyngeal/mid-turbinate samples, sequencing, and bioinformatic analysis were performed to analyze long COVID and non-long COVID cohorts at day 14 post infection. Differences in mean viral load at various timepoints were analyzed as well as serological data. Results: We identified 26 upregulated genes in patients experiencing long COVID. Dysregulated pathways including complement and fibrinolysis pathways and IL-7 upregulation. Additionally, genes involved in neurotransmission were dysregulated, and the long COVID group had a significantly higher viral load and slower viral clearance. Conclusions: Uncovering early gene pathway abnormalities associated with eventual long COVID diagnosis may aid in early identification. We show that, post acute infection, in situ pathogenic deviations in viral response are associated with patients destined to meet consensus long COVID diagnosis that is entirely dependent on clinical factors. These results identify an important biological temporal window in the natural history of COVID-19 infection and long COVID pathogenesis amenable to testing from standard-of-care upper respiratory tract specimens.
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BACKGROUND: The COVID-19 pandemic has had situational impacts and induced various psychological responses among residents. The present study aims to analyze the network structure of psychological responses to the pandemic and their relationships with situational impact, resilience, and well-being through a network approach. METHODS: An online survey recruited 1122 residents (mean age = 32.5 years, 65.4 % female) in Hong Kong from October 2020 to October 2021. The participants completed the Mental Impact and Distress Scale: Psychological Response (MIDc-PR) and other validated measures. Gaussian graphical modeling was conducted in R to identify the central MIDc-PR symptoms and their bridge linkages with situational impact, resilience, and well-being. RESULTS: In the MIDc-PR network, the central symptoms were 'Routine' and 'Images' for Anticipation and 'Tense' and 'Lonely' for Modulation, with 12 bridge edges between the two clusters. In the combined network, the MIDc-PR nodes showed 12 bridge edges with situational impact, particularly in the health domain. 'Concerned', 'Sleep', and 'Lonely' showed negative linkages with resilience; 'Unmotivated' and 'Trapped' showed negative linkages with well-being. The network models showed good levels of stability and did not differ significantly in network structure and global strength across gender and age groups. LIMITATIONS: The cross-sectional study design only allowed undirected associations in the network and could not model the within-subject effects. CONCLUSIONS: The study findings contributed to the literature by elucidating the network structure of psychological responses to the pandemic. The central and bridge symptoms have clinical implications as potential targets for future interventions.
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COVID-19 , Resilience, Psychological , Humans , COVID-19/psychology , COVID-19/epidemiology , Hong Kong/epidemiology , Female , Male , Adult , SARS-CoV-2 , Surveys and Questionnaires , Middle Aged , Young Adult , Pandemics , Mental Health , Loneliness/psychology , Psychological Distress , Adolescent , Cross-Sectional Studies , Social Network AnalysisABSTRACT
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.
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BACKGROUND: The present study aimed to examine the comorbidity among symptoms of internet gaming disorder (IGD), social withdrawal, and depression using the network perspective. METHODS: An online survey recruited 3430 young people in Hong Kong (mean age = 19.4 years, 80.5 % male) via gaming channels in 2019. The participants completed the 9-item IGD Scale, Hikikomori Questionnaire, and Patient Health Questionnaire-9. Network analysis was conducted using R to estimate the central symptoms of IGD and depression in individual networks and identified the bridge symptoms in combined network of IGD, social withdrawal, and depressive symptoms. RESULTS: All network models showed high stability. 'Withdrawal', 'Loss of control', and 'Tolerance' were the central IGD symptoms, while 'Depressed mood' and 'Self-blame/guilt' were the central depressive symptoms. The bridge symptoms were 'Gaming as escape or mood relief' from IGD cluster, 'Depressed mood' and 'Self-blame/guilt' from depression cluster, and 'Marked social isolation at home' and 'Significant distress due to social isolation' from social withdrawal cluster. The combined network showed no significant differences in network structure and global strength across gender and age groups. LIMITATIONS: The cross-sectional sample only indicated undirected associations between the symptoms in the three clusters and could not model the intra-individual variation. CONCLUSIONS: The present study provided the first results on the comorbidity among IGD, social withdrawal, and depression at a symptom level among Chinese young people via network analysis. The bridge symptoms highlight potential targets for interventions of comorbidity among the disorders.
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Comorbidity , Depression , Internet Addiction Disorder , Social Isolation , Humans , Male , Hong Kong/epidemiology , Female , Internet Addiction Disorder/epidemiology , Internet Addiction Disorder/psychology , Young Adult , Depression/epidemiology , Depression/psychology , Adolescent , Cross-Sectional Studies , Social Isolation/psychology , Adult , Surveys and Questionnaires , Video Games/statistics & numerical data , Video Games/psychologyABSTRACT
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.
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Counseling , Humans , Longitudinal Studies , Cluster Analysis , Female , Adult , Male , Counseling/methods , Counseling/statistics & numerical data , Middle Aged , Text Messaging/statistics & numerical data , Young AdultABSTRACT
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.
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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.
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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 306â¯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 306â¯800 suicide decedents (mean [SD] age, 46.3 [18.4] years; 239â¯627 males [78.1%] and 67â¯108 females [21.9%]), 5 profiles or classes were identified. The largest class, class 4 (97â¯175 [31.7%]), predominantly faced physical health challenges, followed by polysubstance problems in class 5 (58â¯803 [19.2%]), and crisis, alcohol-related, and intimate partner problems in class 3 (55â¯367 [18.0%]), mental health problems (class 2, 53â¯928 [17.6%]), and comorbid mental health and substance use disorders (class 1, 41â¯527 [13.5%]). Class 4 had the lowest rates of disclosing suicidal intent (13â¯952 [14.4%]) and leaving a suicide note (24â¯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 (23â¯794 were aged 55-70 years [24.5%]; 20â¯100 aged ≥71 years [20.7%]), veterans (22â¯220 [22.9%]), widows (8633 [8.9%]), individuals with less than high school education (15â¯690 [16.1%]), and rural residents (23â¯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.
Subject(s)
Latent Class Analysis , Humans , Male , Female , Middle Aged , Cross-Sectional Studies , Adult , United States/epidemiology , Suicidal Ideation , Aged , Suicide, Attempted/statistics & numerical data , Suicide, Attempted/psychology , Young Adult , Suicide, Completed/statistics & numerical data , Suicide, Completed/psychology , Risk Factors , Suicide/statistics & numerical data , Suicide/psychology , Adolescent , Substance-Related Disorders/epidemiology , Substance-Related Disorders/psychologyABSTRACT
BACKGROUND: An analytical benchmark for high-sensitivity cardiac troponin (hs-cTn) assays is to achieve a coefficient of variation (CV) of ≤ 10.0 % at the 99th percentile upper reference limit (URL) used for the diagnosis of myocardial infarction. Few prospective multicenter studies have evaluated assay imprecision and none have determined precision at the female URL which is lower than the male URL for all cardiac troponin assays. METHODS: Human serum and plasma matrix samples were constructed to yield hs-cTn concentrations near the female URLs for the Abbott, Beckman, Roche, and Siemens hs-cTn assays. These materials were sent (on dry ice) to 35 Canadian hospital laboratories (n = 64 instruments evaluated) participating in a larger clinical trial, with instructions for storage, handling, and monthly testing over one year. The mean concentration, standard deviation, and CV for each instrument type and an overall pooled CV for each manufacturer were calculated. RESULTS: The CVs for all individual instruments and overall were ≤ 10.0 % for two manufacturers (Abbott CVpooled = 6.3 % and Beckman CVpooled = 7.0 %). One of four Siemens Atellica instruments yielded a CV > 10.0 % (CVpooled = 7.7 %), whereas 15 of 41 Roche instruments yielded CVs > 10.0 % at the female URL of 9 ng/L used worldwide (6 cobas e411, 1 cobas e601, 4 cobas e602, and 4 cobas e801) (CVpooled = 11.7 %). Four Roche instruments also yielded CVs > 10.0 % near the female URL of 14 ng/L used in the United States (CVpooled = 8.5 %). CONCLUSIONS: The number of instruments achieving a CV ≤ 10.0 % at the female 99th-percentile URL varies by manufacturer and by instrument. Monitoring assay precision at the female URL is necessary for some assays to ensure optimal use of this threshold in clinical practice.
Subject(s)
Myocardial Infarction , Humans , Male , Female , Prospective Studies , Canada , Myocardial Infarction/diagnosis , Biological Assay , Troponin , Troponin T , Biomarkers , Reference ValuesABSTRACT
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.
Subject(s)
Sexually Transmitted Diseases , Substance-Related Disorders , Adolescent , Male , Humans , Female , Young Adult , Adult , Cross-Sectional Studies , Sexual Behavior , Sexually Transmitted Diseases/epidemiology , Risk-Taking , Substance-Related Disorders/epidemiology , Outcome Assessment, Health Care , ChinaABSTRACT
Background: Constipation is generally considered a common physical symptom of depression or a side effect of antidepressant treatments. However, according to the gut-brain axis hypothesis, the association between depression and constipation might be bi-directional. This study investigated the association between premorbid constipation and depression. Methods: We conducted a retrospective cohort study using data from UK Biobank. Individuals free of depression between 2006 and 2010 were included. Constipation status was determined using diagnostic codes from electronic health records or a baseline questionnaire. Data on covariates, including socio-demographic characteristics, lifestyle factors, health conditions, and regular medication use, were also collected through a baseline questionnaire. The primary outcome is incident depression, which was extracted from hospital inpatient admissions, primary care, self-report, and death data from baseline to 2022. The secondary outcome is depressive symptoms, which was assessed by Patient Health Questionnaire-9 (PHQ-9) from an online survey in 2016. Cox proportional hazard regression models were employed to assess the prospective association between constipation and incident depression. Logistic regression models were used to assess its association with depressive symptoms. Findings: Among the 449,459 participants included in the study, 18,596 (4.1%) experienced constipation at baseline, and 18,576 (4.1%) developed depression over a median follow-up period of 12.3 years. Premorbid constipation is associated with a 2.28-fold higher risk of depression. After adjusting the covariates, we found those with constipation still had a 48% higher risk of developing depression (adjusted hazard ratio [aHR] 1.48; 95% CI, 1.41-1.56) than those without constipation. Self-reported and diagnosed constipation were both associated with a higher risk of depression, with the aHR being 1.42 (95% CI: 1.34-1.51) and 1.66 (95% CI: 1.51-1.82), respectively. Participants with constipation were more likely to report depressive symptoms than people without (adjusted odds ratio 2.18; 95% CI, 1.97-2.43). These findings remained consistent in sensitivity analyses. Interpretation: Diagnosed and self-reported constipation are both prospectively associated with an elevated risk of depression. These explorative findings suggest that constipation may be an independent risk factor or a prodromal symptom of depression. Gastroenterologists and primary care physicians should pay more attention to the depressive symptoms of their constipation patients. Funding: The Shenzhen Science and Technology Program and the Strategic Priority Research Program of Chinese Academy of Sciences.
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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.
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Suicide , Humans , Adolescent , Aged , Taiwan , Longitudinal StudiesABSTRACT
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.
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Artificial Intelligence , Asian People , Communication , Language , Humans , Counselors , Hong Kong , Linear ModelsABSTRACT
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.