Psychiatry Investigation最新文献

Objective: Despite the suspected link between carpal tunnel syndrome (CTS)-a common neuropathy-and psychiatric issues, long-term evidence, especially in Asia, remains scarce. This study investigated the long-term incidence of depression, anxiety, somatoform, and sleep disorders after CTS diagnosis in a South Korean nationwide cohort.

Methods: Using the Korean National Health Insurance Service cohort (2002-2013), newly diagnosed CTS patients (2004-2013) were identified following a 2-year washout period. Each CTS patient was propensity score-matched 1:10 with non-CTS controls based on demographics and health status. Cox proportional hazards regression yielded adjusted hazard ratios (aHRs) for incident depressive, anxiety, somatoform, and sleep disorders over up to 10 years of follow-up.

Results: Compared to controls, CTS patients had significantly elevated risks for all outcomes: depressive disorders (aHR, 1.59; 95% confidence interval [CI], 1.45-1.74), anxiety disorders (aHR, 1.41; 95% CI, 1.31-1.52), somatoform disorders (aHR, 1.38; 95% CI, 1.23-1.55), and sleep disorders (aHR, 1.36; 95% CI, 1.25-1.49). Risk was notably higher in individuals aged <60 years for all disorders. Males showed higher risks for depression, anxiety, and sleep disorders, while females had a slightly higher risk for somatoform disorders.

Conclusion: This comprehensive, longitudinal study indicated that CTS is associated with an increased long-term risk of psychiatric disorders. The findings emphasize comprehensive management strategies that integrate mental health screening and interventions tailored to age and sex among patients with CTS.

Objective: The incidence of psychiatric illnesses might be higher in individuals people living with human immunodeficiency virus (PLWH) than in individuals without human immunodeficiency virus (HIV). We aimed to investigate whether PLWH had different risks of psychiatric morbidities in comparison to non-HIV-infected individuals.

Methods: This study included all PLWH in South Korea between January 1, 2017 and December 31, 2017. The control group, which had never been diagnosed with HIV, was selected using a 1:10 stratified random sampling technique, considering age and sex. The endpoint of this study was new diagnosis of psychiatric morbidities which were diagnosed from January 1, 2018 to December 31, 2022.

Results: After conducting a 1:5 propensity score (PS) matching process, the final analysis comprised a group of 17,815 PLWH and 78,021 control subjects. In the PS-matched cohort, the incidence rate of psychiatric morbidity in PLWH was 5,677.7 per 100,000 per year, whereas that in the controls was 4,926.3 per 100,000 per year. In Cox regression in the PS-matched cohort, PLWH showed 17% (hazard ratio, 1.17; 95% confidence interval, 1.14-1.21; p<0.001) higher risk of psychiatric morbidity than controls. Specifically, PLWH showed higher risk of depression, mania, bipolar disorder, insomnia disorder, substance use disorder, and schizophrenia compared to controls.

Conclusion: PLWH had a greater likelihood of experiencing psychiatric morbidities compared to those without HIV in South Korea. Our research findings indicate the importance of public health policy in addressing the declining mental health of individuals living with HIV.

Objective: This study evaluated the effectiveness of a humanities-based cognitive behavioral therapy (CBT) program for adolescents aged 11-15 years exhibiting symptoms of problematic gaming, focusing on its impact on depression, anxiety, attention-deficit/hyperactivity disorder (ADHD), and Internet gaming disorder (IGD).

Methods: Elementary and middle school students with IGD symptoms were recruited and divided into a humanities-based CBT group (20 students) and a control group receiving supportive therapy (21 students). Participants' IGD symptoms and levels of depression, anxiety, and ADHD before and after the intervention were compared and evaluated.

Results: Verifying the effectiveness of the developed humanities treatment program showed a significant decrease in clinical scale scores indicating anxiety, ADHD, and IGD. In particular, the differences in IGD and anxiety scores between the intervention and control groups were significant, demonstrating the effectiveness of the humanities-based CBT program. Positive correlations were found between the pre-post scores for depression and IGD and between anxiety, depression, and IGD following the humanities-based intervention.

Conclusion: In this study, experts in various fields developed a humanities-based CBT program for adolescents with problematic gaming behavior and verified its effectiveness, demonstrating that programs utilizing the humanities and writing can positively affect symptoms of IGD, anxiety, depression, and ADHD in adolescents. These findings indicate the need to verify the effectiveness of humanities-based therapy programs for adolescents in more diverse regions and age groups.

Objective: Suicide is a leading cause of death among adolescents, and despite the need to distinguish between suicidal consideration and suicide attempts, research focused on suicide attempts remains insufficient. Therefore, this study aims to investigate the influence of self-perceived weight on suicide attempts.

Methods: This study utilized data from the Korea Youth Risk Behavior Web-based Survey for its analysis from 2005 to 2023, including a total of 1,156,728 participants. This study utilized various analytical methods to examine the influence of self-perceived weight on suicide attempts. We estimated weighted prevalence and used linear regression to assess temporal trend β coefficients and their differences (βdiff) with 95% confidence intervals (CIs), and survey-weighted logistic regression to estimate weighted odds ratios (wORs) and 95% CIs for the association between self-perceived weight and suicide attempts.

Results: A comparison of suicide attempts based on self-perceived weight suggested that individuals who perceived themselves as overweight (weighted prevalence, 3.97% [95% CI, 3.89 to 4.04]) had the highest rate of suicide attempts, followed by those who perceived themselves as underweight (3.36% [95% CI, 3.28 to 3.44]), while those who perceived themselves as having a normal weight (3.20% [95% CI, 3.14 to 3.27]) had the lowest rate. Additionally, females (underweight: 4.47% [95% CI, 4.32 to 4.62]; normal weight: 3.91% [95% CI, 3.81 to 4.01]; overweight: 5.23% [5.11 to 5.35]) experienced more suicide attempts than males (underweight: 2.73% [95% CI, 2.65 to 2.82]; normal weight: 2.43% [95% CI, 2.35 to 2.51]; overweight: 2.60% [95% CI, 2.52 to 2.69]).

Conclusion: Findings from the present study suggest that self-perceived weight was associated with suicide attempts and interaction analyses indicated a potential sex-based difference in the impact of body image distortion. Therefore, this study suggests the introduction of programs and campaigns aimed at correcting distorted self-perceived weight.

Objective: Research specifically targeting suicidal ideation (SI) in middle-aged populations remains limited. This study aimed to predict future and concurrent SI in middle-aged Korean adults by applying four machine learning (ML) models to a nationally representative longitudinal dataset.

Methods: We analyzed data from 8,992 individuals aged 40-64 years who participated in the Korea Welfare Panel Study from the 7th (2011) to the 18th (2022) waves. Four ML algorithms were employed to develop the predictive models. The SHapley Additive exPlanations method was applied to enhance explainability.

Results: Approximately half of the participants' mean age was 49.3±8.2 years (range, 40-64 years) and 52.2% were male. The average annual SI rate between 2011 and 2022 was 2.8%±1.2%. Predictive performance for future SI was satisfactory, with area under the receiver operating characteristic curve (AUC) values of up to 0.806 (logistic regression, LR). Predictions for concurrent SI demonstrated AUC values of up to 0.907 (LR). Key predictors of future SI included subjective health status, satisfaction with family and spousal relationships, housing environment, and educational attainment. Concurrent SI was strongly associated with immediate stressors such as family violence and income dissatisfaction.

Conclusion: The ML models demonstrated good-to-excellent predictive performance for SI. These findings emphasize the importance of health, family, and socioeconomic factors, alongside mental health indicators in the prevention of SI among middle-aged adults. Building on these findings, tailored intervention strategies that comprehensively address multidimensional risk factors are essential for effective SI prevention.

Objective: Disasters such as pandemics and natural catastrophes cause significant psychological distress, increasing the risk of depression, anxiety, and post-traumatic stress disorder (PTSD). This review aimed to evaluate the effectiveness of remote mental health interventions, such as telepsychiatry, online cognitive behavioral therapy (CBT), mobile applications, and artificial intelligence (AI)-based tools, during disasters.

Methods: A comprehensive literature search was conducted using international databases (PubMed, EMBASE, PsycINFO, Web of Science, Scopus, CINAHL) and Korean domestic databases (KISS, RISS, DBpia, KMbase, KoreaMed). Studies published between January 2010 and February 2025 were screened following the PRISMA 2020 guidelines. Two board-certified psychiatrists independently reviewed titles, abstracts, and full texts. Peer-reviewed articles and relevant grey literature, including government manuals and expert guidelines, were included.

Results: A total of 147 studies were synthesized, including randomized controlled trials, meta-analyses, observational studies, and policy documents. Evidence showed that remote interventions effectively reduced symptoms of depression, anxiety, and PTSD. Online CBT was beneficial for mild to moderate distress; mobile apps facilitated psychoeducation and symptom tracking; and telepsychiatry ensured care continuity, especially in underserved areas. AI tools showed promise in screening and triage but require better clinical integration. Effectiveness was highest when interventions were implemented early, integrated within stepped-care models, and guided by trained professionals.

Conclusion: Remote mental health interventions are practical and effective tools for bridging mental health care gaps during disasters. To ensure sustainability, these interventions should be integrated into national disaster mental health frameworks, accompanied by adequate funding, clinician training, legal safeguards, and cultural adaptation.

Objective: The study was to develop the instrumental activities of daily living scale-ability and actual performance (IADL-AA) to assess the ability and actual performance constructs of instrumental activities of daily living (IADL).

Methods: Eight experts reviewed the items of the IADL-AA. Additionally, 30 and 266 people with schizophrenia participated in cognitive interviews and validation analysis, respectively. Expert consultations and cognitive interviews were conducted to examine face validity and content validity, respectively. Construct validity was evaluated through Rasch analysis to ensure unidimensionality. Convergent validity was investigated using Pearson's r, discriminative validity was examined through floor and ceiling effects, and internal consistency was assessed using Cronbach's alpha (α).

Results: The IADL-AA comprised 23 items showing the unidimensionality of each domain. The infit and outfit mean squares were 0.76-1.21 and 0.68-1.40, respectively. A moderate correlation was observed between ability and actual performance domains (r=0.63). No floor or ceiling effects were found for the two domains (0.0%-6.0% and 1.5%-3.0%, respectively). Cronbach's α of the two domains was 0.83-0.90.

Conclusion: The IADL-AA demonstrates satisfactory psychometric properties, including face validity, content validity, construct validity, convergent validity, discriminative validity, and internal consistency. This measure can effectively identify the capacity and degree of independence of IADL function in people with schizophrenia.

Objective: This study investigated whether quantitative electroencephalography (qEEG) features, combined with clinical data, could predict treatment outcomes in female adolescents with non-suicidal self-injury (NSSI).

Methods: We analyzed clinical and EEG data from 104 female adolescent inpatients with repetitive NSSI. Resting-state EEG was recorded, and various brain activity patterns across frequency bands were extracted. Clinical outcomes were assessed using pre- and postadmission scores on the Health of the Nation Outcome Scales (HoNOS), Clinical Global Impression-Severity (CGI-S), World Health Organization Disability Assessment Schedule (WHODAS), and Global Assessment of Functioning (GAF). Machine learning models were trained to predict outcomes using EEG and medication data. Model performance was evaluated using cross-validation, and feature importance was interpreted using SHapley Additive exPlanations (SHAP) analysis.

Results: All predictive models demonstrated excellent predictive performance (R2≥0.96, mean squared error [MSE] as low as 0.02). The HoNOS model showed the highest performance (R2=0.99, MSE=0.32), followed by the WHODAS (R2=0.98, MSE=1.32), GAF (R2=0.97, MSE=0.76), and CGI-S (R2=0.96, MSE=0.02) models. Key qEEG predictors included relative low-beta power at Pz, absolute theta power at Fp1, and the delta-to-beta ratio at Cz. Pre-admission clinical severity, particularly CGI-S and HoNOS, also significantly contributed to prediction accuracy.

Conclusion: Our findings suggest that qEEG features, combined with machine learning, can effectively predict treatment response in adolescents with NSSI, supporting their use as neurophysiological biomarkers for individualized care.