The three most common sexually transmitted infections (STIs) are Chlamydia trachomatis (CT), Neisseria gonorrhoeae (GC) and Trichomonas vaginalis (TV). The prevalence of these STIs in Taiwan remains largely unknown and the risk of STI acquisition affected by the vaginal microbiota is also elusive. In this study, a total of 327 vaginal swabs collected from women with vaginitis were analyzed to determine the presence of STIs and the associated microorganisms by using the BD Max CT/GC/TV molecular assay, microbial cultures, and 16S rRNA sequencing. The prevalence of CT, TV, and GC was 10.8%, 2.2% and 0.6%, respectively. A culture-dependent method identified that Escherichia coli and Streptococcus agalactiae (GBS) were more likely to be associated with CT and TV infections. In CT-positive patients, the vaginal microbiota was dominated by L. iners, and the relative abundance of Gardnerella vaginalis (12.46%) was also higher than that in TV-positive patients and the non-STIs group. However, Lactobacillus spp. was significantly lower in TV-positive patients, while GBS (10.11%), Prevotella bivia (6.19%), Sneathia sanguinegens (12.75%), and Gemella asaccharolytica (5.31%) were significantly enriched. Using an in vitro co-culture assay, we demonstrated that the growth of L. iners was suppressed in the initial interaction with TV, but it may adapt and survive after longer exposure to TV. Additionally, it is noteworthy that TV was able to promote GBS growth. Our study highlights the vaginal microbiota composition associated with the common STIs and the crosstalk between TV and the associated bacteria, paving the way for future development of health interventions targeting the specific vaginal bacterial taxa to reduce the risk of common STIs.

Background: The incidence of female stroke has increased gradually and has begun occurring at a younger age in recent years. Given that women live longer than men, stroke would cause more negative and longer-term impacts on the rest of the lives of women. There are few related studies on Asian women. We aimed to evaluate stroke risk in Asian women following hypertensive pregnancy disorders. Methods: Using the Taiwan National Health Insurance database, we designed a retrospective study that included pregnant women between 2000 and 2013. We selected an age-matched control group of women without hypertensive pregnancy disorders at a 1:3 ratio. The endpoint was any episode of stroke; otherwise, the patients were tracked until December 31, 2013. After the index date until the end of 2013, Cox proportional hazards analysis was used to compare the risk of incident stroke. The risk factors for stroke were determined using Cox proportional regression to calculate the hazard ratio (HR) compared with the control group. Results: During the follow-up period, the Kaplan-Meier analysis indicated that patients with hypertensive pregnancy disorders had a significantly higher risk of developing stroke than did patients without hypertensive pregnancy disorders (log-rank test P < 0.001). Multivariate Cox regression analysis demonstrated that the case group had a 2.134-fold increased risk of stroke (HR = 2.134; 95% CI = 1.817–2.505; P < 0.001). Conclusion: Our study provided evidence of an increased risk of stroke in patients with hypertensive pregnancy disorders. Compared with those without such disorders, the patients who had experienced the disorders had a 2.134-fold (P < 0.001) higher risk of developing stroke in the future.

Intestinal infectious diseases (IIDs) are among the most common diseases and are prevalent worldwide. IIDs are also one of the major disease groups with the highest incidence worldwide, especially among children and older adults. We observed a higher probability of IIDs in patients from the psychiatric department of Tri-Service General Hospital. Therefore, our objective was to investigate if there is an association between IIDs and the risk of developing psychiatric disorders. This nationwide population-based study used the database of the National Health Insurance (NHI) program in Taiwan. The study included 150,995 patients from 2000 to 2015, comprising 30,199 patients with IIDs as the study group and 120,796 patients without IIDs as the control group. Cox proportional hazards regression analysis was performed to calculate the hazard ratio of psychiatric disorders during the 16-year follow-up. Of the patients with IIDs, 4022 (13.32%) developed psychiatric disorders compared to 8119 (6.72%) who did not (P < .001). The adjusted hazard ratio (aHR) for overall psychiatric disorders in the study group was 2.724 (95% confidence interval [CI]: 2.482–2.976; P < .001). More specifically, the study group had a higher risk of developing a psychiatric disorder, including sleep disorders, depression, anxiety, bipolar disorder, post-traumatic stress disorder (PTSD)/acute stress disorder (ASD), schizophrenia, mental retardation (MR), substance abuse, and other psychiatric disorders. Furthermore, refractory IIDs (seeking medical attention for IIDs 3 or more times) increased the risk (aHR: 3.918; 95% CI: 3.569–4.280; P < .001) of developing psychiatric disorders. There was an association between IIDs and the increased risk of developing psychiatric disorders. The novel role of etiological factors in the development of psychiatric disorders deserves more attention, and the control of pathogens that cause IIDs is of urgent public health importance.

Depression and suicide risk among low-income individuals not only share common epidemiological patterns but may also be driven by underlying bidirectional mechanisms. On one hand, the social causation hypothesis suggests that financial stress, food insecurity, and unstable housing significantly increase the risk of developing depression. On the other hand, the social drift hypothesis indicates that depression often leads to impaired occupational functioning, job loss, and financial decline, creating a feedback loop where poverty exacerbates depression, and depression, in turn, perpetuates poverty. In this context, we hypothesized that depressed patients from low-income backgrounds would have a higher propensity for suicide, as the risk may arise both because of poverty and as a consequence of untreated or chronic depression. This is also consistent with behavioral economic evidence showing that clinical depression alters time and risk preferences and consumption-related dysfunction. We acknowledge the feedback loop where depression exacerbates poverty and vice versa, thus further increasing suicide risk among low-income individuals. To evaluate this, we utilized the Taiwan National Health Insurance Research Database to examine whether depression in low-income individuals is significantly associated with an elevated risk of suicide. The present cohort study obtained data from the National Health Insurance Research Database. From a total of 1,936,512 patients included in the Longitudinal Health Insurance Dataset between 2000 and 2015, 771 low-income participants who had suffered from depression and 3084 controls matched for gender and age were selected. Cox proportional hazard regression analysis was employed to explore the hazard ratio, and 95% confidence intervals (CIs) for low income being associated with the risk of developing psychiatric disorders during the 16-year follow-up period were calculated. Of the 771 low-income, depressed patients and 3084 control participants, 60 (8514.66 per 105 person-years) and 138 (36,269.29 per 105 person-years) developed suicidal thoughts, respectively. The Cox regression model revealed an adjusted hazard ratio (AHR) of 1.771 (95% CI = 1.289–2.432, P < .001) after adjusting for all the covariates. Depression among low-income individuals was associated with Charlson Comorbidity Index (AHR = 1.097; 95% CI = 1.004–1.186, P = 1.186). Factors of suicide methods by using Cox regression included other gases and vapors (AHR = 8.149; 95% CI = 5.926–11.196, P < .001), and cutting and piercing (AHR = 2.789; 95% CI = 2.021–3.864, P < .001). Depression and low income are independent risk factors for suicide. Depressed low-income patients are at higher risk of developing suicidal thoughts compared with depressed non-low-income patients. Among suicide methods, gases and vapors have the highest risk. Therefore, clinicians should pay attention to the income level of depressed patients.

The psychosocial and health consequences of ocular conditions that cause visual impairment (VI) are extensive and include impaired daily activities, social isolation, cognitive impairment, impaired functional status and functional decline, increased reliance on others, increased risk of motor vehicle accidents, falls and fractures, poor self-rated health, and depression. We aimed to determine whether VI increases the likelihood of a poor prognosis, including mental illness, suicide, and mortality over time. In this large, location, population-based, nested, cohort study, we used data from 2000 to 2015 in the Taiwan National Health Insurance Research Database (NHIRD), which includes diagnoses of all the patients with VI. Baseline features, comorbidities, and prognostic variables were evaluated using a 1:4-matched cohort analysis. Furthermore, comparisons were performed using Cox regression and Bonferroni-correction (for multiple comparisons) to study the association between VI and poor prognosis (mental illness, suicide). The study outcome was the cumulative incidence of poor prognosis among the visually impaired and controls. A two-tailed Bonferroni-corrected p < 0.001 was considered statistically significant. Among the 1,949,101 patients enlisted in the NHIRD, 271 had been diagnosed with VI. Risk factors for poor prognosis and the crude hazard ratio was 3.004 (95% confidence interval 2.135–4.121, p < 0.001). Participants with VI had an increased risk of poor prognosis according to the sensitivity analysis, with a poor prognosis within the first year and first five years. VI was associated with suicide and mental health risks. This study revealed that patients with VI have a nearly 3-fold higher risk of psychiatric disorders, including anxiety, depression, bipolar, and sleep disorders, than the general population. Early detection through comprehensive examinations based on increased awareness in the clinical context may help maintain visual function and avoid additional complications.

Background/Objectives: According to the 2023 Ministry of Health and Welfare statistics, the suicide rate among adolescents aged 15 to 24 has steadily increased since 2018, from 3.7 to 5.5 per 100,000 populations, reaching a recent high. Although previous studies have pointed out that the future risk of suicide of those who had suffered from abuse was higher than that of the general population, researchers seldom focused on adolescent groups. Therefore, the aim of this study was to explore the risk of suicide after youth violence and the impact of subsequent comorbid mental illness and suicide risk. Methods: This retrospective matched cohort study analyzed data from the NHIRD, covering the period from 2000 to 2015. A total of 976 cases aged 10–18 who had experienced violence were included in this study. Controlled grouping was conducted by 1:10 matching based on gender, age, and the time of medical treatment, and a control group who had not experienced violence was selected for comparison. We used the Cox proportional hazards model to analyze the risk of suicide among adolescents after exposure to violence. Results: The suicide rate among adolescents who have experienced violence was significantly higher than that of the control group after 15 years of follow-up (1.0% vs. 0.5%). The prevalence of mental illness or disorders in adolescents exposed to violence was significantly higher than in the control group (45.2% vs. 40.1%). Among adolescents who had experienced violence, the methods of suicide included poisoning (solid and liquid) (53.6% vs. 43.2%), hanging (1.2% vs. 0.6%), firearms (2.4% vs. 0%), and cutting instruments (27.4% vs. 22.8%), all of which were significantly higher than in the control group. After adjusting for gender, age, residential area, and mental health comorbidities, the risk of suicide in those who had experienced violence was 1.475 times that of the control group (95% CI = 1.125–1.933; p = 0.005). Conclusions: In this study, female, younger age, and comorbid mental disorders were identified as risk factors for suicide among the adolescent victims of violence. Exposure to youth violence was associated with an increased prevalence of emotional disorders, including depression and social isolation, which subsequently elevated the suicide risk. These findings underscore the urgent need for governmental attention to the mental health of adolescent victims of violence. Implementing targeted psychological support and intervention programs could play a crucial role in mitigating the risk of suicide among this vulnerable population.