Charles Lung-Cheng Huang

This cross-sectional, nationwide, population-based study aimed to elucidate sex differences in psychiatric comorbidities of Attention-deficit/hyperactivity disorder (ADHD) across children, adolescents, and adults. We analyzed data from Taiwan’s comprehensive healthcare database, including 112,225 individuals diagnosed with ADHD, categorized by age (0–12, 13–18, ≥18 years) and sex. Psychiatric comorbidities were assessed using ICD-9-CM codes, focusing on age and sex-specific prevalence. Among the cohort, 83.50% were children (0–12 years) presenting primarily with learning disabilities and tics, while adolescents (13–18 years; 11.88%) had higher instances of oppositional defiant and conduct disorders. In adults (≥18 years; 4.62%), the prevalence of anxiety, depression, bipolar disorder, and substance misuse was notably higher. Males under 18 predominantly had ADHD, whereas females exhibited increased vulnerability to emotional disorders. In adulthood, males showed greater susceptibility to most psychiatric comorbidities, except sleep disorders. The study highlights the evolving nature of ADHD-related psychiatric comorbidities across different life stages, with distinct sex-based patterns. The transition from childhood to adulthood sees an increased prevalence of various psychiatric conditions, particularly impacting adult males. These findings underscore the need for age- and sex-specific therapeutic approaches in ADHD management. The cultural context of the study necessitates further research in diverse populations for broader applicability of the findings.

BACKGROUND: Police work, known for its high stress, exhibits elevated depression rates. OBJECTIVE: This study explores stress and depression in male officers, examining personality traits, coping strategies, family, and social support. Aligned with the diathesis–stress hypothesis and job demands–resources model, it aims to illuminate these factors in policing. METHODS: Two hundred and sixty-four male police officers from Yunlin, Taiwan were enrolled in this study. Structured measurements of stress level, depression symptoms, personality traits, family functioning, and social support were made. We used multiple regression analysis to assess predictors of stress level and depression and identified coping strategies used by the police officers. RESULTS: Of the 264 male police officers, 36.4% had clinically significant depression. Occupational stress was mostly related to organizational factors. Multivariate regression analyses showed that age, personality traits, officer’s rank, and period of education obtained could predict police officers’ occupational stress. Personality traits, social support, occupational stress, and period of education obtained could predict depression. The most frequently used coping strategies were drinking and smoking. CONCLUSIONS: The results of our study support the diathesis–stress hypothesis and the job demands–resources model. Enhancing male police officers’ mental well-being requires addressing key factors like social support and occupational stress. Strategic measures, such as mental health education, destigmatization, counseling, and community-building, are vital. Policymakers should collaborate with mental health professionals for tailored interventions, fostering a healthier work environment.

Lower urinary tract symptoms (LUTS) are defined as symptoms related to the lower urinary tract or referred from similarly innervated anatomy. No specific criteria are used to precisely define LUTS owing to its multiorgan involvement instead of organ-centric (urethra and bladder). In the past decade, the prevalence of LUTS dramatically increased owing to low health care seeking behaviors. Initially, patients with LUTS seemed to not actively look for medical opinions because of cultural or ethnic barriers. Raising awareness of the significance of medical opinions may contribute to increasing health care seeking behaviors for LUTS. In addition to the association between LUTS and mental illness, a temporal relationship exists, that is, LUTS may cause mental illness and vice versa. This bidirectional correlation relationship was demonstrated by a nationwide observational study. The impacts of LUTS vary among different age groups. Older adults have higher LUTS prevalence, whereas younger ones with LUTS have higher risks of developing anxiety and depression. Similarly, the impacts of LUTS differ between men and women. Women have higher LUTS prevalence; however, men with LUTS have higher risks of developing anxiety and depression. In conclusion, significant association and temporal bidirectional relationship exist between LUTS and mental health. Our findings suggested that patients with LUTS also receive mental illness–related health care; similarly, patients with mental illness may have risks of developing subsequent LUTS.

The high level of occupational stress and burnout among nurses can lead to insomnia, anxiety, and depression. However, the actual risks for healthcare-seeking for these stress-related mental health problems among nurses are still unclear. The aim of this study was to explore the risks and influencing factors of treated anxiety, depression, and insomnia among nurses. We used claims data obtained from the 2010 National Health Insurance Research Database (NHIRD) in Taiwan. Hospital nurses who had at least 3 coded ambulatory care claims or 1 inpatient claim with a principal diagnosis of anxiety, depression, or insomnia were identified. A cohort of 46,120 nurses and 92,240 matched controls were included. All the study subjects were followed up until the onset of any of the aforementioned outcomes, death, or the end of 2012. Results showed that the adjusted hazard ratios (HRs) for treated anxiety, depression, and insomnia among all the nurses were 0.91 (95% CI, 0.88–0.95), 0.59 (95% CI, 0.55–0.63), and 1.43 (95% CI, 1.38–1.48), respectively. Furthermore, the risks of these psychiatric problems in healthcare-seeking nurses were affected by age, gender, hospital level, and job tenure. Our findings suggest that hospital nurses have lower hazards of treated anxiety and depression than the general population, although they have a higher hazard of treated insomnia. There may be undertreatment in some subgroups of nurses with different demographic and working characteristics.

The complex relationship and exact extent of the contribution of plausible indictors to social functional outcome in schizophrenia remain unclear. The present study aimed to explore the functional significance of clinical symptoms, neurocognition, and affect recognition simultaneously in schizophrenia. The clinical symptoms, basic neurocognition, facial emotion recognition, and social functioning of 154 subjects, including 74 with schizophrenia and 80 nonclinical comparisons, were assessed. We observed that various subdomains of social functioning were extensively related to general intelligence, basic neurocognition, facial emotion recognition, and clinical symptoms, with different association patterns. Multivariate regression analyses revealed that years of education, age, sustained attention, working memory, and facial emotion recognition were significantly associated with global social functioning in schizophrenia. Our findings suggest that affect recognition combined with nonsocial neurocognition demonstrated a crucial role in predicting global social function in schizophrenia.

To explore the association between bladder pain syndrome/interstitial cystitis (BPS/IC) and the risk of subsequent healthcare-seeking behavior for common mental disorders in Taiwan using a population-based administrative database. Both BPS/IC subjects and their age- and sex-matched non-BPS/IC control subjects who had no previous insomnia and mental diseases, including anxiety, depression, were subsequent serviced for these mental disorders by psychiatrists from the recruited date between 2002 and 2010. The risk of outcomes was assessed with Kaplan–Meier curves; and the impact of BPS/IC was estimated with Poisson regression analysis and Cox proportional hazards models. We included 16,185 BPS/IC subjects and 32,370 non-BPS/IC subjects, with a mean age of 46 years and 73.5 % of women. Difference of the prevalence of hypertension, diabetes, chronic kidney disease, and hyperlipidemia between groups was not significant difference. Subjects with BPS/IC had a significant higher incidence rate of anxiety, depression, and insomnia than the matched controls (92.9 vs 38.4, 101.0 vs 42.2, 47.5 vs 23.0; per 10,000 person-year). After adjusting for age, sex, and common comorbidities in multivariable analysis, BPS/IC remained a significant predictor with hazard ratio and 95 % confidence incidence, 2.4 (2.2–2.7), 2.4 (2.2–2.6), and 2.1 (1.8–2.4) for anxiety, depression, and insomnia, respectively. Patients with BPS/IC are at risk of development of anxiety, depression, and insomnia. These findings can help guide urologists, urogynecologists, and psychiatrists toward early identification and treatment of psychological complications that may develop in BPS/IC patients.

Background: In the studies of genomics, it is essential to select a small number of genes that are more significant than the others for the association studies of disease susceptibility. In this work, our goal was to compare computational tools with and without feature selection for predicting chronic fatigue syndrome (CFS) using genetic factors such as single nucleotide polymorphisms (SNPs). Methods: We employed the dataset that was original to the previous study by the CDC Chronic Fatigue Syndrome Research Group. To uncover relationships between CFS and SNPs, we applied three classification algorithms including naive Bayes, the support vector machine algorithm, and the C4.5 decision tree algorithm. Furthermore, we utilized feature selection methods to identify a subset of influential SNPs. One was the hybrid feature selection approach combining the chi-squared and information-gain methods. The other was the wrapper-based feature selection method. Results: The naive Bayes model with the wrapper-based approach performed maximally among predictive models to infer the disease susceptibility dealing with the complex relationship between CFS and SNPs. Conclusion: We demonstrated that our approach is a promising method to assess the associations between CFS and SNPs.