Development of a tool measuring various aspects of social detachment: The social detachment questionnaire for older population.

BACKGROUND: Social detachment includes the subjective aspect "loneliness" and the objective aspect "social isolation," but tools to assess both dimensions are limited. This study aims to develop a questionnaire, the Social Detachment Questionnaire for Older Population (SDQO), that considers multiple dimensions of social detachment simultaneously. METHODS: The study collected 600 valid samples from individuals aged 55 and above to examine the psychometric properties of the developed SDQO. Item analysis was conducted to assess the performance of each item, and exploratory factor analysis (EFA) was employed to analyze its initial structure and eliminate less ideal items. Subsequently, confirmatory factor analysis (CFA) was used to examine the model fit of the suggested structure by EFA, using different subsamples. Internal consistency, concurrent validity, and other analyses were also performed. RESULTS: The original 27-item SDQO was reduced to 17 items after removing 4 questions in item analysis and 6 questions in EFA. The Cronbach's alpha for the 17-item version of SDQO was 0.80. Both EFA and CFA supported its 6-factor structure, with factors identified as community activities, loneliness, personal resources, leisure activities, friendship, and family resources. SDQO also demonstrated expected performance in concurrent validity. CONCLUSION: The 17-item version of SDQO exhibited good reliability and validity, measuring various aspects of social detachment behavior, feelings, and resources. It holds value for future research applications.

Validation of self-reported medical condition in the Taiwan Biobank.

BACKGROUND: This study aimed to validate self-reported medical conditions in the Taiwan Biobank (TWBB), in which participants were inquired about 30 disease conditions, by comparing them with claims records from Taiwan's National Health Insurance (NHI) claims database. METHODS: We identified 30 clinical diagnoses using ICD-CM codes from ambulatory and hospital claims within the NHI claims database, matching diseases included in the TWBB. The concordance between self-reports and claims records was evaluated using tetrachoric correlation to assess the correlation between binary variables. RESULTS: A total of 131,834 participants aged 30-70 years with data from the TWBB and NHI records were included. Concordance analysis revealed tetrachoric correlations ranged from 0.420 (chronic obstructive pulmonary disease) to 0.970 (multiple sclerosis). However, several disorders exhibited lower tetrachoric correlations. The concordance was higher among those with higher education attainment, and lower among married individuals. CONCLUSION: The concordance between self-reports in the TWBB and NHI claims records varied across clinical diagnoses, showing inconsistencies depending on participant characteristics. These findings underscore the need for further investigation, especially when these variables are crucial to research objectives. Integrating complementary databases such as clinical diagnoses, prescription records, and medical procedures can enhance accuracy through customized algorithms based on disease categories and participant characteristics and optimize sensitivity or positive predictive values to align with specific research objectives.

Prospective Impacts of Social Participation Activities on Cognitive and Psychopathological Statuses in Community-Dwelling Older Adults.

OBJECTIVES: This study investigated the impact of social activities on cognitive functioning and psychopathological symptoms. METHODS: Participants aged 55 or older were enrolled through communities. Initial measures assessed demographic data, neuropsychological functioning, psychopathological state, and happiness. Social activities were evaluated using a modified 12-item tool, with 3-4 activities as the cutoff. Follow-up after 6-9 months included Mini-Mental State Examination (MMSE), Beck Depression Inventory - II (BDI-II), Beck Anxiety Inventory (BAI), Health Assessment Questionnaire (HAQ), and Patient Health Questionnaire-15 (PHQ-15) measurements. Predictive models for psychiatric and cognitive statuses were built using multiple linear regression, adjusting for baseline conditions. RESULTS: Initially, 516 older individuals enrolled, with 403 undergoing follow-up. During follow-up, the low participation group reported lower MMSE scores, higher BAI scores, and increased PHQ-15 risk. Negative correlations between social activity numbers and PHQ-15 results were found. Engagement in social clubs correlated positively with higher MMSE scores, while regular interactions with one's adult child(ren) were linked to decreased BAI scores. CONCLUSIONS: The quantity of social activities was associated with lower somatic distress. Social club engagement positively influenced cognition, and regular interactions with one's adult child(ren) mitigated anxiety among older individuals. CLINICAL IMPLICATIONS: Enough types of social activities, participating in social clubs, and adequate interactions with children protected against psychopathologies.

Psychometric Properties and Measurement Invariance of the Awareness of Age-Related Change Short Form in Older Adult Samples from Taiwan and Germany.

BACKGROUND AND OBJECTIVES: This study examined the psychometric properties and measurement invariance of the 10-item Awareness of Age-Related Change Short Form (AARC-SF) questionnaire in a Chinese-speaking sample of older adults in Taiwan. RESEARCH DESIGN AND METHODS: Data from 292 participants (Mage = 77.64 years) in the Healthy Aging Longitudinal Study in Taiwan (HALST) cohort were used for Study 1, whereas data from young-old adult samples in Germany were used for Study 2. RESULTS: Study 1 showed that the AARC-SF had satisfactory reliability and validity for assessing adults' AARC in Taiwan. Analyses confirmed the two-factor structure of AARC-gains and AARC-losses. Study 2 demonstrated strong measurement invariance across men and women, whereas direct comparisons of the item scores between young-old adults and old-old adults need to be made with caution. Non-invariance of loadings indicated that certain items were more closely linked to AARC-gains and AARC-losses in Taiwan than in Germany. Non-invariance of intercepts suggested potential biases in comparing item scores between Taiwanese and German older adults. DISCUSSION AND IMPLICATIONS: The AARC-SF emerged as a reliable and valid instrument for capturing positive and negative subjective aging experiences among Taiwanese older adults. However, it is noteworthy that some items on the AARC-SF may solicit different responses from individuals of different ages and different countries of origin, requiring caution with age group and cross-cultural comparisons.

In-Hospital Use of Long-Acting Injectable Antipsychotics and Readmission Risk in Patients With First-Admission Schizophrenia in Taiwan.

Importance: Long-acting injectable antipsychotics (LAIs) can help decrease the rate of nonadherence to medications in patients with schizophrenia, but these drugs are underutilized in clinical practice, especially in Asian countries. One strategy for the early prescription of LAIs is to administer the drugs during patients' first admission, when they have more time to absorb medication-related knowledge. Objective: To estimate the prevalence of and risk factors for in-hospital use of LAIs among first-admission patients with schizophrenia in Taiwan and to examine the association of early discontinuation with readmission risk among patients receiving LAIs. Design, Setting, and Participants: This cohort study included data from a claims database for patients with a first admission for schizophrenia at psychiatric wards in Taiwan from 2004 to 2017. Eligible patients were diagnosed with schizophrenia or schizoaffective disorder at discharge and aged between 15 and 64 years. Data analysis was performed from April to September 2022. Exposure: In-hospital use of LAIs with or without early discontinuation. Main Outcome and Measures: Readmission for any psychotic disorder following discharge from first admission, with risk estimated via multivariable survival regression analysis, including the Cox proportional hazards (CPH) model and accelerated failure time (AFT) model. Results: Of the 56 211 patients with a first admission for schizophrenia (mean [SD] age, 38.1 [12.1] years; 29 387 men [52.3%]), 46 875 (83.4%) did not receive any LAIs during admission, 5665 (10.1%) received LAIs with early discontinuation, and 3671 (6.5%) received LAIs without early discontinuation. The prevalence of receiving LAIs increased by 4%, from 15.3% (3863 of 25 251 patients) to 19.3% (3013 of 15 608 patients) between 2004-2008 and 2013-2017. After controlling for sex, year, prior antipsychotic use, age at first admission, and length of stay, the CPH regression analysis revealed that the readmission risk increased among patients receiving LAIs with early discontinuation (adjusted hazard ratio [aHR], 1.25; 95% CI, 1.21-1.30) but decreased among patients receiving LAIs without early discontinuation (aHR, 0.88; 95% CI, 0.84-0.92) compared with patients not receiving LAIs. Results remained similar for the AFT model. Conclusions and Relevance: The incidence of in-hospital use of LAIs among patients with a first admission for schizophrenia has remained low. In this study, early discontinuation of LAIs was associated with readmission risk-specifically, early discontinuation with a higher risk while the lack of early discontinuation with a lower risk compared with treatment with oral antipsychotics alone-which suggests our results have implications for improving the efficacy of LAI administration among patients with a first admission for schizophrenia.

Association of categorical diagnoses and psychopathologies with quality of life in patients with depression, anxiety, and somatic symptoms: A cross-sectional study.

OBJECTIVE: Major depressive disorder (MDD), anxiety disorders, and somatic symptom disorder (SSD) are associated with quality of life (QoL) reduction. This cross-sectional study investigated the relationship between these conditions as categorical diagnoses and related psychopathologies with QoL, recognizing their frequent overlap. METHODS: We recruited a total of 403 clinical patients and healthy individuals, administering diagnostic interviews based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. QoL and psychopathologies were assessed using the WHO Quality of Life-BREF (WHOQOL-BREF) and several self-administered questionnaires, respectively. Multiple linear regression analyses examined the associations between psychiatric diagnoses, psychopathologies, and QoL. RESULTS: SSD and MDD were independently associated with impaired global (ß = -0.318 and - 0.287) and all QoL domains (ß = -0.307, -0.150, -0.125, and - 0.133, in physical, psychological, social, and environmental domains respectively for SSD; ß = -0.278, -0.344, -0.275, and - 0.268 for MDD). The Beck Depression Inventory-II score showed pervasive associations with QoL (ß = -0.390, -0.408, -0.685, -0.463, and - 0.420, in global, physical, psychological, social, and environmental domains). The Patient Health Questionnaire-15 and Health Anxiety Questionnaire scores were associated with global (ß = -0.168 and - 0.181) and physical (ß = -0.293 and - 0.121) QoL domain, while the Cognitions About Body and Health Questionnaire score was only associated with environmental QoL domain (ß = -0.157). CONCLUSION: SSD and MDD were independently associated with QoL impairment. Depressive symptoms were associated with all QoL domains, whereas somatic symptom burden and health anxiety primarily affected the physical QoL domain. Clinicians should consider concomitant psychopathologies when managing patients with depression, anxiety, or somatic symptoms.

Population-attributable fraction of psychiatric and physical disorders for suicide among older adults in Taiwan.

BACKGROUND: This study aimed to estimate the population-attributable fraction (PAF) of psychiatric and physical disorders for suicide among older adults, focusing on sex- and age-specific factors. METHODS: Data from Taiwan's National Health Insurance Research Data and National Death Registry included 9136 cases of suicide in individuals aged 65+, with 89,439 matched controls. Physical and psychiatric disorders were identified through diagnostic records. Conditional logistic regression assessed risk factors, and PAF was calculated using disorder prevalence and adjusted odds ratios. RESULTS: Major suicide risk factors among older adults were depressive disorders, anxiety disorders, and sleep disorders. Physical disorders like hypertension, peptic ulcers, and cancer also showed significant PAF values. The combined PAF of physical disorders equaled that of psychiatric disorders. Psychiatric disorders had a greater impact on women and the youngest-old adults, while physical disorders had a higher contribution among men, middle-old adults, and oldest-old adults. LIMITATIONS: Relying solely on claim data to identify psychiatric and physical disorders may underestimate their prevalence and associations with suicide due to unrecorded cases of individuals not seeking help and the absence of key risk factors like social isolation and family support. CONCLUSIONS: This study identifies preventable or treatable risk factors for older adult suicide, emphasizing the need to target specific psychiatric and physical disorders in suicide prevention efforts while taking into account sex- and age-specific considerations. It also underscores the importance of establishing social welfare support systems to address the unique challenges older adults face.

Machine-learning-based feature selection to identify attention-deficit hyperactivity disorder using whole-brain white matter microstructure: A longitudinal study.

BACKGROUND: We aimed to identify important features of white matter microstructures collectively distinguishing individuals with attention-deficit/hyperactivity disorder (ADHD) from those without ADHD using a machine-learning approach. METHODS: Fifty-one ADHD patients and 60 typically developing controls (TDC) underwent diffusion spectrum imaging at two time points. We evaluated three models to classify ADHD and TDC using various machine-learning algorithms. Model 1 employed baseline white matter features of 45 white matter tracts at Time 1; Model 2 incorporated features from both time points; and Model 3 (main analysis) further included the relative rate of change per year of white matter tracts. RESULTS: The random forest algorithm demonstrated the best performance for classification. Model 1 achieved an area-under-the-curve (AUC) of 0.67. Model 3, incorporating Time 2 variables and relative rate of change per year, improved the performance (AUC = 0.73). In addition to identifying several white matter features at two time points, we found that the relative rate of change per year in the superior longitudinal fasciculus, frontal aslant tract, stria terminalis, inferior fronto-occipital fasciculus, thalamic and striatal tracts, and other tracts involving sensorimotor regions are important features of ADHD. A higher relative change rate in certain tracts was associated with greater improvement in visual attention, spatial short-term memory, and spatial working memory. CONCLUSIONS: Our findings support the significant diagnostic value of white matter microstructure and the developmental change rates of specific tracts, reflecting deviations from typical development trajectories, in identifying ADHD.

Associations of early retirement and mortality risk: a population-based study in Taiwan.

BACKGROUND: Early retirement is highly prevalent in Taiwan. This study assesses the association between early retirement and all-cause and cause-specific mortality risks while exploring the modifying effect of sociodemographic factors. METHODS: Using Taiwan's National Health Insurance Research Database between 2009 and 2019, 1 762 621 early retirees aged 45-64 and an equal number of employed comparators were included. The date and cause of death were identified using the National Death Registry. Cox regression models were used to estimate HRs of early retirement for all-cause mortality and cause-specific mortality. To explore modifying effects, we conducted subgroup analyses based on age groups, sexes, occupation types and general health status (Charlson Comorbid Index score). RESULTS: The analysis revealed that early retirees, compared with their concurrently employed counterparts, had a higher mortality risk (adjusted HR (aHR) 1.69, 95% CI (1.67 to 1.71)). Specifically, younger individuals (aged 45-54) (aHR 2.74 (95% CI 2.68 to 2.80)), males (aHR 1.78 (95% CI 1.76 to 1.81)), those in farming or fishing occupations (aHR 2.13 (95% CI 2.06 to 2.21)) or the private sector (aHR 1.92 (95% CI 1.89 to 1.96)), and those with the poorest health conditions (aHR 1.79 (95% CI 1.76 to 1.83)) had higher mortality risks of early retirement. Regarding specific causes of death, the top three highest risks were associated with gastrointestinal disorders, followed by suicide and neurological disorders. CONCLUSIONS: This study underscores the substantial mortality risk increase linked to early retirement, emphasising the importance of policy considerations, particularly regarding vulnerable populations and specific causes of death potentially linked to unhealthy lifestyles.

Widowhood and mortality risk in Taiwan: a population-based matched cohort study.

BACKGROUND: Studying the causes of death among deceased spouses and surviving partners may provide insights into the underlying mechanisms of the association between widowhood and mortality. This study investigated the mortality risk of widowhood in Taiwan, examined the association of the cause of death between widowed individuals and their deceased spouses and explored potential modifying effects by age, gender and duration after widowhood. METHODS: This matched cohort study utilized Taiwan's National Health Insurance claims database and National Death Registry. In total, 204 010 widowed men and 596 136 widowed women were identified with a mean follow-up period of 6.9 and 7.9 years, respectively, and 816 040 comparison men and 2 384 544 comparison women were selected. RESULTS: Widowhood was associated with an increased mortality risk, with widowed men having a 1.32 increased risk and widowed women having a 1.27 increased risk. Age at spousal death and duration modified the associations after widowhood. The widowed individuals are more likely to die by the same cause as the deceased spouse if they died by suicide, accident, endocrine, gastrointestinal disorders or infection. CONCLUSIONS: The study suggests that healthcare policies and interventions should be developed to improve widowed individuals' health and overall welfare.

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study.

BACKGROUND: The widespread use of electronic health records in the clinical and biomedical fields makes the removal of protected health information (PHI) essential to maintain privacy. However, a significant portion of information is recorded in unstructured textual forms, posing a challenge for deidentification. In multilingual countries, medical records could be written in a mixture of more than one language, referred to as code mixing. Most current clinical natural language processing techniques are designed for monolingual text, and there is a need to address the deidentification of code-mixed text. OBJECTIVE: The aim of this study was to investigate the effectiveness and underlying mechanism of fine-tuned pretrained language models (PLMs) in identifying PHI in the code-mixed context. Additionally, we aimed to evaluate the potential of prompting large language models (LLMs) for recognizing PHI in a zero-shot manner. METHODS: We compiled the first clinical code-mixed deidentification data set consisting of text written in Chinese and English. We explored the effectiveness of fine-tuned PLMs for recognizing PHI in code-mixed content, with a focus on whether PLMs exploit naming regularity and mention coverage to achieve superior performance, by probing the developed models' outputs to examine their decision-making process. Furthermore, we investigated the potential of prompt-based in-context learning of LLMs for recognizing PHI in code-mixed text. RESULTS: The developed methods were evaluated on a code-mixed deidentification corpus of 1700 discharge summaries. We observed that different PHI types had preferences in their occurrences within the different types of language-mixed sentences, and PLMs could effectively recognize PHI by exploiting the learned name regularity. However, the models may exhibit suboptimal results when regularity is weak or mentions contain unknown words that the representations cannot generate well. We also found that the availability of code-mixed training instances is essential for the model's performance. Furthermore, the LLM-based deidentification method was a feasible and appealing approach that can be controlled and enhanced through natural language prompts. CONCLUSIONS: The study contributes to understanding the underlying mechanism of PLMs in addressing the deidentification process in the code-mixed context and highlights the significance of incorporating code-mixed training instances into the model training phase. To support the advancement of research, we created a manipulated subset of the resynthesized data set available for research purposes. Based on the compiled data set, we found that the LLM-based deidentification method is a feasible approach, but carefully crafted prompts are essential to avoid unwanted output. However, the use of such methods in the hospital setting requires careful consideration of data security and privacy concerns. Further research could explore the augmentation of PLMs and LLMs with external knowledge to improve their strength in recognizing rare PHI.

Familial factors rather than paternal age contribute to the aetiology of epilepsy.

BACKGROUND: Whether paternal age associated with offspring's epilepsy risk is a cause of de novo mutation as men age, or just an association due to confounding factors, is still unclear. METHODS: We performed a population-based, multi-generation and sibling comparison study in Taiwan, which included 2 751 232 singletons born in 2001-17 who were followed until 2020. Of these, 819 371/826 087 with information on paternal/maternal grandparents were selected for multi-generation analyses and 1 748 382 with sibling(s) were selected for sibling comparison. Cox proportional hazard regression was used to estimate the hazard ratio (HR) and 95% confidence interval (CI). RESULTS: In the total cohort, there was an increased risk of epilepsy in individuals with advanced paternal age, e.g. the HR for paternal age ≥50 was1.36 (95% CI: 1.15-1.61) compared with paternal age 25-29, and fathers older than mothers, e.g. the HR for parental age difference ≥15 years was 1.29 (95% CI: 1.16-1.43). When accounting for parental age difference, the association between paternal age and epilepsy in offspring was attenuated (HR for paternal age ≥50 was 1.11, 95% CI: 0.93-1.34). Multi-generation analyses did not support the association of advanced grand-paternal age at childbirth of the parent with offspring's risk of epilepsy. Sibling comparison analyses did not support the association of older paternal age with increased risk of epilepsy (HR was 0.96 for per year increase in paternal age, 95% CI: 0.96-0.97). CONCLUSIONS: These results do not support the hypothesis that advanced paternal age is associated with epilepsy in offspring. Instead, familial factors may explain the observed paternal age association with the offspring's risk of epilepsy.

Examining the role of living alone and loneliness in predicting health-related quality of life: results from the Healthy Aging Longitudinal Study in Taiwan (HALST).

PURPOSE: This study aimed to investigate the distinct yet interconnected aspects of social isolation, namely living alone and loneliness, and their individual and combined effects on predicting health-related quality of life (HRQoL). METHODS: A comprehensive analysis, encompassing both cross-sectional and longitudinal approaches, was conducted using a nationally representative sample of 5644 community-dwelling adults aged 55 and older from the Healthy Aging Longitudinal Study in Taiwan (HALST). RESULTS: Baseline data revealed that 9% of the sample reported living alone, while 10.3% reported experiencing loneliness, with 2.5% reporting both living alone and feeling lonely. Regression analyses consistently demonstrated that loneliness was significantly associated with concurrent and subsequent lower physical (PCS) and mental (MCS) component of HRQoL. Conversely, additional analyses indicated that living alone could indirectly exacerbate the adverse effects of loneliness or contribute to prolonged feelings of loneliness, subsequently predicting lower HRQoL after 3.2 year. CONCLUSION: In terms of practical implications, interventions and policies aiming to enhance HRQoL in older adults should give particular attention to those who report feelings of loneliness, especially individuals living alone.

Patterns, predictors, and patient-reported reasons for antidepressant discontinuation in the WHO World Mental Health Surveys.

BACKGROUND: Despite their documented efficacy, substantial proportions of patients discontinue antidepressant medication (ADM) without a doctor's recommendation. The current report integrates data on patient-reported reasons into an investigation of patterns and predictors of ADM discontinuation. METHODS: Face-to-face interviews with community samples from 13 countries (n = 30 697) in the World Mental Health (WMH) Surveys included n = 1890 respondents who used ADMs within the past 12 months. RESULTS: 10.9% of 12-month ADM users reported discontinuation-based on recommendation of the prescriber while 15.7% discontinued in the absence of prescriber recommendation. The main patient-reported reason for discontinuation was feeling better (46.6%), which was reported by a higher proportion of patients who discontinued within the first 2 weeks of treatment than later. Perceived ineffectiveness (18.5%), predisposing factors (e.g. fear of dependence) (20.0%), and enabling factors (e.g. inability to afford treatment cost) (5.0%) were much less commonly reported reasons. Discontinuation in the absence of prescriber recommendation was associated with low country income level, being employed, and having above average personal income. Age, prior history of psychotropic medication use, and being prescribed treatment from a psychiatrist rather than from a general medical practitioner, in comparison, were associated with a lower probability of this type of discontinuation. However, these predictors varied substantially depending on patient-reported reasons for discontinuation. CONCLUSION: Dropping out early is not necessarily negative with almost half of individuals noting they felt better. The study underscores the diverse reasons given for dropping out and the need to evaluate how and whether dropping out influences short- or long-term functioning.

Psychiatrist density and risk of suicide: a multilevel case-control study based on a national sample in Taiwan.

AIM: No previous studies, to our knowledge, have investigated the association between psychiatrist density and suicide, accounting for individual- and area-level characteristics. METHODS: We investigated all suicide cases in 2007-2017 identified from the national cause-of-death data files, with each suicide case matched to 10 controls by age and sex and each suicide case/control assigned to one of the 355 townships across Taiwan. Our primary outcome was the odds ratio (OR) of suicide and its 95% confidence interval (CI) estimated via multilevel models, which included both individual- and area-level characteristics. Townships with no psychiatrists were compared with the quartiles of townships with psychiatrists (density per 100,000 population): quartile 1 (Q1) (0.01-3.02); quartile 2 (Q2) (3.02-7.20); quartile 3 (Q3) (7.20-13.82); and quartile 4 (Q4) (>13.82). RESULTS: A total of 40,930 suicide cases and 409,300 age- and sex-matched controls were included. We found that increased psychiatrist density was associated with decreased suicide risk (Q1: adjusted OR [aOR], 0.95 [95% CI, 0.90-1.01]; Q2: aOR, 0.90 [95% CI, 0.85-0.96]; Q3: aOR, 0.89 [95% CI, 0.83-0.94]; Q4: aOR, 0.89 [95% CI, 0.83-0.95]) after adjusting for individual-level characteristics (employment state, monthly income, physical comorbidities, and the diagnosis of psychiatric disorders) and area socioeconomic characteristics. CONCLUSIONS: The psychiatrist density-suicide association suggests an effect of increased availability of psychiatric services on preventing suicide. Suicide prevention strategies could usefully focus on enhancing local access to psychiatric services.

Clinical outcomes, medical costs, and medication usage patterns of different somatic symptom disorders and functional somatic syndromes: a population-based study in Taiwan.

BACKGROUND: Somatic symptom disorders (SSD) and functional somatic syndromes (FSS) are often regarded as similar diagnostic constructs; however, whether they exhibit similar clinical outcomes, medical costs, and medication usage patterns has not been examined in nationwide data. Therefore, this study focused on analyzing SSD and four types of FSS (fibromyalgia, chronic fatigue syndrome, irritable bowel syndrome, functional dyspepsia). METHODS: This population-based matched cohort study utilized Taiwan's National Health Insurance (NHI) claims database to investigate the impact of SSD/FSS. The study included 2 615 477 newly diagnosed patients with SSD/FSS and matched comparisons from the NHI beneficiary registry. Healthcare utilization, mortality, medical expenditure, and medication usage were assessed as outcome measures. Statistical analysis involved Cox regression models for hazard ratios, generalized linear models for comparing differences, and adjustment for covariates. RESULTS: All SSD/FSS showed significantly higher adjusted hazard ratios for psychiatric hospitalization and all-cause hospitalization compared to the control group. All SSD/FSS exhibited significantly higher adjusted hazard ratios for suicide, and SSD was particularly high. All-cause mortality was significantly higher in all SSD/FSS. Medical costs were significantly higher for all SSD/FSS compared to controls. The usage duration of all psychiatric medications and analgesics was significantly higher in SSD/FSS compared to the control group. CONCLUSION: All SSD/FSS shared similar clinical outcomes and medical costs. The high hazard ratio for suicide in SSD deserves clinical attention.

Effectiveness of health checkup with depression screening on depression treatment and outcomes in middle-aged and older adults: a target trial emulation study.

Background: Adult preventive health checkups with depression screening were launched in August 2011 in Taiwan; however, its impact has not yet been evaluated. This study aimed to use real-world data to assess the effectiveness of depression screening among middle-aged and older adults. Methods: A total of 4,972,228 adults aged 40 years and above who participated in a health checkup with depression screening between 2013 and 2019 and the same number of unscreened counterparts were included. The target trial emulation study was conducted to estimate the hazard ratios (HRs) for newly treated depression, psychiatric hospitalisation, and suicide. The changes in HRs during the study period were assessed using interval Cox models. Findings: The screening group had a higher rate of newly treated depression (HR 1.63 [95% CI 1.62, 1.64]) and a lower risk of psychiatric hospitalisation (HR 0.93 [95% CI 0.91, 0.95]). There was a null association between depression screening and suicide; however, a higher suicide risk was found in screened older adults aged 65 years and above. Only 10.8% received depression treatment during the study period among the screen-positive individuals. Interpretation: Health checkups with depression screening could potentially promote depression treatment and reduce the risk of psychiatric hospitalisation; however, there was no effect on suicide. The treatment rate for depression remained low after screening for depression. Further attention to enhance referral and treatment is required. Funding: The study was funded by the National Health Research Institutes, Taiwan.

Estimation of life expectancy and healthcare cost in rheumatoid arthritis patients with and without depression: a population-based retrospective cohort study.

Purpose: This study aimed to estimate the lifetime healthcare costs and loss of life expectancy (loss-of-LE) among patients with incident rheumatoid arthritis (RA) with and without depression. Methods: This 18 years longitudinal cohort study used data from Taiwan's National Health Insurance Research Database. In total, 43,311 patients with RA were included. Among them, 1,663 patients had depressive disorders in the year preceding the RA diagnosis. The survival function for patients with RA with or without depression was estimated and extrapolated over a lifetime using the rolling extrapolation algorithm. The loss-of-LE was calculated by comparing the sex, age, and calendar year-matched referents from vital statistics. The average monthly cost was calculated as the sum of the monthly costs for all patients divided by the number of surviving patients. Lifetime healthcare costs were estimated by multiplying the monthly average cost by the monthly survival probability. Results: The loss-of-LE for RA patients with and without depression was 5.60 years and 4.76 years, respectively. The lifetime costs of RA patients with and without depression were USD$ 90,346 and USD$ 92,239, respectively. However, the annual healthcare costs were USD$ 4,123 for RA patients with depression and USD$ 3,812 for RA patients without depression. Regardless of sex or age, RA patients with depression had higher annual healthcare costs than those without depression. Conclusion: Patients with RA and depression have a high loss-of-LE and high annual healthcare costs. Whether treating depression prolongs life expectancy and reduces healthcare costs warrants further investigation.

Associations between depression and cancer risk among patients with diabetes mellitus: A population-based cohort study.

BACKGROUND: The co-occurrence of depression and diabetes mellitus has been linked to an increased risk of developing cancer. This study aimed to investigate whether depression further amplifies the risk of cancer among individuals with diabetes. METHODS: This population-based matched cohort study utilized Taiwan's National Health Insurance claims database. A total of 85,489 newly diagnosed diabetic patients with depressive disorders were selected, along with 427,445 comparison subjects. The matching process involved age, sex, and the calendar year of diabetes onset. The average follow-up duration for the two cohorts was 6.4 and 6.5 years, respectively. The primary outcome of interest was the occurrence of overall cancer or cancer at specific anatomical sites. RESULTS: The adjusted hazard ratios for overall cancer incidence were 1.08 (95% CI, 1.05-1.11). For site-specific cancers, depression exhibited significant associations with oropharyngeal, esophageal, liver, gynecological, prostate, kidney, and hematologic malignancies among patients with diabetes. Notably, a severity-response relationship was observed, indicating that patients with recurrent episodes of major depressive disorders exhibited a higher incidence of cancer compared to those diagnosed with dysthymia or depressive disorder not otherwise specified. Furthermore, the strength of the association between depression and cancer risk was more pronounced among younger patients with diabetes as opposed to older adults. However, no significant relationship was observed between adherence to antidepressant treatment and cancer risk. CONCLUSIONS: The findings of this study indicate a significant association between depression and an elevated risk of cancer among individuals diagnosed with diabetes. Future investigations should replicate our findings, explore the effects of pharmacological and non-pharmacological treatments on cancer risk, and identify the underlying mechanisms.