The Interrelationship of Benefit Finding, Demoralization, and Stigma among Patients with Parkinson's Disease and Their Caregivers.

Parkinson's disease (PD) is a debilitating neurodegenerative disease with a relentlessly progressive course of illness. This study aimed to assess the dyadic dynamics of benefit finding (BF), demoralization, and stigma on the depression severity of PD patients and their caregivers. This study used a cross-sectional design with purposive sampling. In total, 120 PD patients and 120 caregivers were recruited from the neurological ward or neurological outpatient clinic of a medical center in Taiwan from October 2021 to September 2022. PD patients and their caregivers were enrolled and assessed using the Mini International Neuropsychiatric Interview, the Benefit Finding scale, Demoralization Scale, Stigma Subscale of the Explanatory Model Interview Catalogue, and Taiwanese Depression Questionnaire. Among the 120 patients and 120 caregivers that successfully completed the study, 41.7% (N = 50) and 60% (N = 72) were female, respectively. The most common psychiatric diagnoses of both the PD patients (17.5%) and their caregivers (13.3%) were depressive disorders. Using structural equation modeling, we found that the stigma, BF, and demoralization of PD patients might contribute to their depression severity. Demoralization and stigma of PD patients' caregivers might also contribute to the depression severity of PD patients. Caregivers' BF and demoralization were significantly linked with their depression severity. PD patients' BF degree and their caregivers' BF degree had significant interactive effects. Both patients' and their caregivers' stigma levels had significant interactive effects. Clinicians should be aware of and manage these contributing factors between PD patients and their caregivers in order to prevent them from exacerbating each other's depression.

An Exploration of Pediatricians' Professional Identities: A Q-Methodology Study.

Professional identities may influence a wide range of attitudes, ethical standards, professional commitments and patient safety. This study aimed to explore the important elements that comprise pediatricians' professional identities. A Q-methodology was used to identify the similarities and differences in professional identity. Forty pediatricians were recruited from two tertiary referral hospitals in Taiwan. A list of statements was developed by five attending physicians and three residents. R software was used to analyze the Q-sorts to load the viewpoints and formulate the viewpoint arrays. Additional qualitative data-one-to-one personal interviews-were analyzed. Twenty-eight of forty pediatricians, 11 males and 17 females, with an average age of 39.9 (27-62) years, were associated with four viewpoints. We labeled the four viewpoints identified for professional identity as (1) professional recognition, (2) patient communication, (3) empathy and (4) insight. The professional recognition viewpoint comprised of youngest participants-28-36 years-with the majority as residents (77.8%), while the empathy viewpoint comprised the oldest participants-38-62 years-with all as attending physicians. All participants in the empathy and insight viewpoints were married. This study found professional identity to be a multifaceted concept for pediatricians, especially in the areas of professional recognition, patient communication, empathy and insight into patient care.

Comparative predictive efficacy of atherogenic indices on metabolic syndrome in patients with schizophrenia.

BACKGROUND: Schizophrenia patients endure high risks of metabolic syndrome and related cardiovascular mortality. Evidence on comparing detective power among atherogenic indices of the metabolic syndrome in schizophrenia patients with antipsychotics treatment is still lacking. METHOD: We recruited 128 schizophrenia patients and collected blood samples to determine plasma levels of fasting glucose, total cholesterol, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol. Five components of metabolic syndrome were assessed. Atherogenic indices, such as atherogenic index of plasma (AIP), atherogenic coefficient (AC), Castelli's risk index-I (CRI-I) and Castelli's risk index-II (CRI-II), were calculated. The area under the receiver operating characteristics curve (AUC) and regression analysis were adopted to compare the detective power of each atherogenic index for metabolic syndrome. The optimal cutoff points using maximization of Youden's index and the positive likelihood ratios were calculated. RESULTS: 51 (39.8 %) had metabolic syndrome. AIP (0.2 ± 0.2 vs. 0.6 ± 0.2), AC (2.5 ± 0.9 vs. 3.4 ± 0.9), CRI-I (3.5 ± 0.9 vs. 4.4 ± 0.9,) and CRI-II (2.1 ± 0.7 vs. 2.6 ± 0.7) were higher in the group with metabolic syndrome (all p < 0.001). AIP had the highest AUC (0.845, 95 % CI: 0.770, 0.920). The optimal cut-off point of AIP to predict metabolic syndrome was 0.4 with the corresponding sensitivity 83.7 %, specificity 80.3 %, and positive likelihood ratio 4.2. Regression analysis revealed that only AIP significantly correlated with the metabolic syndrome (p < 0.001). CONCLUSION: Among atherogenic indices, only AIP has superior discrimination for detecting metabolic syndrome in schizophrenia with antipsychotics treatment.

The Morbidity and Associated Factors of Depression in Caregivers of Patients with Depressive Disorder.

Objective: Depressive disorder significantly impacts patients' daily living activities and quality of life. Caregivers of patients with depression may also suffer from psychological distress related to the chronic burden of caring for the patient's mood changes. The purpose of this study was to evaluate the morbidity and associated factors of depression in caregivers of patients with depressive disorder. Methods: In this study, we used a cross-sectional design with consecutive sampling. Study subjects were recruited from the psychiatric outpatient clinic of a medical center from August 2021 to June 2022. Caregivers of depressive disorder patients were enrolled and assessed using the Mini International Neuropsychiatric Interview, Hospital Anxiety and Depression Scale (HADS), Suicide Assessment Scale (SAS), Stigma Scale of the Explanatory Model Interview Catalogue (EMIC), and Family APGAR Index. Results: Of the 120 caregivers that completed the study, 59.2% (n=71) were females. The most common psychiatric diagnosis was depressive disorders (25.8%), followed by anxiety disorders (17.5%) and insomnia disorder (15.8%); 54.2% of the caregivers had a psychiatric diagnosis. Using logistic regression analysis, we found that anxiolytics/hypnotics use (OR=5.58; 95% CI, 1.84-16.96; p<0.01), higher suicide risk (SAS) (OR=1.10; 95% CI, 1.05-1.16; p<0.001), and lower family support (APGAR scores) (OR=0.82; 95% CI, 0.71-0.94; p<0.01) were three significant associated factors. Conclusion: Depression was the most prevalent psychiatric diagnosis in caregivers of patients with depressive disorder. Early psychiatric diagnosis for caregivers of patients with depression is crucial to offering suitable support and treatment and may improve caregivers' quality of life.

Predicting new-onset post-stroke depression from real-world data using machine learning algorithm.

Introduction: Post-stroke depression (PSD) is a serious mental disorder after ischemic stroke. Early detection is important for clinical practice. This research aims to develop machine learning models to predict new-onset PSD using real-world data. Methods: We collected data for ischemic stroke patients from multiple medical institutions in Taiwan between 2001 and 2019. We developed models from 61,460 patients and used 15,366 independent patients to test the models' performance by evaluating their specificities and sensitivities. The predicted targets were whether PSD occurred at 30, 90, 180, and 365 days post-stroke. We ranked the important clinical features in these models. Results: In the study's database sample, 1.3% of patients were diagnosed with PSD. The average specificity and sensitivity of these four models were 0.83-0.91 and 0.30-0.48, respectively. Ten features were listed as important features related to PSD at different time points, namely old age, high height, low weight post-stroke, higher diastolic blood pressure after stroke, no pre-stroke hypertension but post-stroke hypertension (new-onset hypertension), post-stroke sleep-wake disorders, post-stroke anxiety disorders, post-stroke hemiplegia, and lower blood urea nitrogen during stroke. Discussion: Machine learning models can provide as potential predictive tools for PSD and important factors are identified to alert clinicians for early detection of depression in high-risk stroke patients.

The animated assessment of theory of mind for people with schizophrenia (AToMS): development and psychometric evaluation.

Theory of mind (ToM) deficits in people with schizophrenia have been reported and associated with impaired social interactions. Thus, ToM deficits may negatively impact social functioning and warrant consideration in treatment development. However, extant ToM measures may place excessive cognitive demands on people with schizophrenia. Therefore, the study aimed to develop a comprehensible Assessment of ToM for people with Schizophrenia (AToMS) and evaluate its psychometric properties. The AToMs was developed in 5 stages, including item formation, expert review, content validity evaluation, animation production, and cognitive interviews of 25 people with schizophrenia. The psychometric properties of the 16-item AToMS (including reliability and validity) were then tested on 59 people with schizophrenia. The newly developed animated AToMS assesses 8 ToM concepts in the cognitive and affective dimensions while placing minimal neurocognitive demands on people with schizophrenia. The AToMS presented satisfactory psychometric properties, with adequate content validity (content validity index = 0.91); mostly moderate item difficulty (item difficulty index = 0.339-0.966); good discrimination (coefficients = 0.379-0.786), internal consistency (Cronbach's α = 0.850), and reliability (intraclass correlation coefficient = 0.901 for test-retest, 0.997 for inter-rater); and satisfactory convergent and divergent validity. The AToMS is reliable and valid for evaluating ToM characteristics in people with schizophrenia. Future studies are warranted to examine the AToMS in other populations (e.g., people with affective disorders) to cross-validate and extend its utility and psychometric evidence.

An Emergent Theory Depicting Patients' Fortitude Through the Healing and Recovering Process of Depression.

BACKGROUND: Depression is a common mental disorder. Literature has explored patients' perspectives of the recovering process of depression. However, there is a lack of research to explore both patients' and caregivers' perspectives of the healing process and develop a theory to support patients with depression. AIMS: The purpose of this study is to develop a substantive theory that depicts patients with depression toward healing and recovering. METHODS: This study used a grounded theory approach and collected data between 2019 and 2020 in a medical center in Taiwan. A theoretical sampling was performed after interviewing 29 participants, including 20 patients who had recovered from depression and nine caregivers; data saturation was achieved. Data analysis was conducted with open, axial, and selective coding and used NVivo Version 11 to aid the process of coding. RESULTS: A substantive theory was developed and the core category was "Patients' fortitude through the healing and recovering process of depression." Other main categories interrelated in this core category were reframing negative thinking and cultivating positive thinking, rebuilding a positive self-worth by embracing self-compassion, and learning to cope with everyday stress. CONCLUSIONS: This theory could help health care professionals to work therapeutically with patients and commend their fortitude while experiencing depression and engaging them with the care they planned together; and find some joy in life. Educators and researchers could use this theory to advance nursing care.

Prevalence and Risk Factors of Depression between Patients with Parkinson's Disease and Their Caregivers: A One-Year Prospective Study.

Depression is a common comorbidity in patients with Parkinson's disease (PD) and in their caregivers. This study aimed to compare the prevalence and risk factors of depression between patients with PD and their caregivers. In total, 113 patients with PD and 101 caregivers were enrolled. Patients with PD were assessed using the Mini International Neuropsychiatric Interview, Unified Parkinson's Disease Rating Scale (UPDRS), Activities of Daily Living (ADL), Hospital Anxiety and Depression Scale, Beck Hopelessness Scale, Brief Fatigue Inventory, Connor-Davidson Resilience Scale, and Big Five Inventory-10. Caregivers of patients with PD were also assessed using the above-mentioned instruments, with the exception of the UPDRS and ADL. During a 12-month follow-up period, depressive disorders were the most common psychiatric diagnosis of PD patients (27.4%) and their caregivers (17.8%). Depressive disorders were more prevalent in PD patients than in caregivers of PD patients throughout the entire follow-up phase. The severity of fatigue and severity of suicide risk were significantly associated with depression among patients with PD. The severity of pain and severity of anxiety were predictors of depression in caregivers of PD patients. The findings in this study provide references for early detection and treatment of depressive disorders in PD patients and their caregivers.

Validation of the Chinese Version of the Schizophrenia Cognition Rating Scale.

OBJECTIVE: The Schizophrenia Cognition Rating Scale (SCoRS) is an interview-based assessment tool for evaluating the cognitive deficit and daily functioning of patients with schizophrenia. METHODS: Sixty-eight patients with schizophrenia and 68 age- and sex-matched healthy individuals were recruited to validate the Chinese version of SCoRS in this study. All participants underwent cognitive assessment using the SCoRS, which was verified by the Brief Assessment of Cognition in Schizophrenia (BACS), and the UCSD Performance-based Skills Assessment, Brief Version (UPSA-B). Patients with schizophrenia were additionally assessed using the Positive and Negative Syndrome Scale (PANSS). RESULTS: SCoRS ratings reported by patients (SCoRS-S), those reported by the interviewer (SCoRS-I), and SCoRS global scores (SCoRS-G) showed significant correlation with all subscales of the BACS and the UPSA-B. On receiver operating characteristic curve analysis, SCoRS-S, SCoRS-I, and SCoRS-G significantly differentiated patients with schizophrenia from healthy controls. Moreover, SCoRS-S and SCoRS-I ratings showed positive correlation with the negative symptoms and general symptoms of PANSS. CONCLUSION: The Chinese version of SCoRS showed good discriminant, concurrent, and external validity, suggesting that it is a useful and convenient tool for assessment of cognitive function among Mandarin-speaking patients with schizophrenia in clinical practice.

Morbidity and Associated Factors of Depressive Disorder in Patients With Parkinson's Disease.

ABSTRACT: Parkinson's disease (PD) is a progressive, neurodegenerative disorder and is commonly comorbid with depression. The aim of this cross-sectional study was to assess morbidity and associated factors of depression in patients with PD. In total, 181 patients with PD were enrolled and assessed using the Mini-International Neuropsychiatric Interview. Of the sample, 51% had at least one psychiatric diagnosis. The most prevalent psychiatric disorder was depressive disorder (27.6%), followed by rapid eye movement sleep behavior disorder (9.9%), insomnia disorder (8.8%), and adjustment disorder (2.8%). Severity of anxiety, suicide risk, and anxiolytics/hypnotics use were factors associated with depressive disorder in PD patients. Furthermore, severity of anxiety was significantly linked with suicide risk. We suggest that use of a standardized structured interview for early detection of depression in PD patients is crucial. Anxiety, anxiolytics/hypnotics use, depression, and suicide risks are interrelated and warrant clinical concerns regarding PD patients.

Functional Outcomes in a Randomized Controlled Trial of Animal-Assisted Therapy on Middle-Aged and Older Adults with Schizophrenia.

Deficits in cognition, physical, and social functions in adults with schizophrenia may become salient with aging. While animal-assisted therapy (AAT) can benefit physical function in older adults and improve symptoms of psychotic disorders, the effect of AAT on middle-aged patients with schizophrenia is unclear. The current randomized controlled trial aimed to explore the efficacy of AAT for middle-aged patients with schizophrenia. Forty participants were randomly assigned to either the AAT or control group. The AAT group participated in one-hour sessions with dog-assisted group activities once a week for 12 weeks. The controls participated in dose-matched, non-animal-related recreational activities. Both groups remained on their usual psychotropic medication during the trial. Evaluations included the Chair Stand Test (CST), Timed Up-and-Go (TUG) test, Montreal Cognitive Assessment (MoCA), 5-Meter walk test (5MWT), and Assessment of Communication and Interaction Skills (ACIS). The increases in CST repetitions and ACIS scores were larger in the AAT group than in the controls. The two groups did not differ significantly in MoCA scores, TUG performance, or the 5MWT. The AAT group showed a greater increase in lower extremity strength and social skills, but no improvement in cognitive function, agility, or mobility. Further research with more sensitive evaluations and longer follow-up is needed.

Higher Serum DHA and Slower Cognitive Decline in Patients with Alzheimer's Disease: Two-Year Follow-Up.

Omega-3 polyunsaturated fatty acids (PUFAs), especially eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have been associated with slower rates of cognitive decline. We investigated the association between omega-3 PUFAs and cognitive function in patients with Alzheimer's disease (AD) receiving acetylcholinesterase inhibitors (AChEIs). This was a prospective cohort study using registered data. Patients with AD receiving AChEIs were recruited from 1 May 2016 to 30 April 2019 and were followed up for two years. Their daily diet record and blood concentration of omega-3 PUFAs were analyzed. Multiple linear and binary logistic regression was used to determine the factors associated with cognitive decline (continuous and dichotomized cognitive change). In the research, 129 patients with AD were identified with a mean age of 76.5 ± 6.6. Patients with AD with lower baseline omega-3 PUFAs levels were associated with a higher risk of cognitive decline than those with higher levels (odds ratio [OR] = 1.067, 95% confidence interval [CI]: 1.012, 1.125; p = 0.016) after adjustment. Patients with AD with a lower baseline DHA (OR = 1.131, 95% CI: 1.020, 1.254; p = 0.020), but not EPA, were associated with a higher risk of cognitive decline. We found that higher Mini-Nutritional Assessment scores (beta = -0.383, 95% CI = -0.182--0.048, p = 0.001) and total fat (beta = -0.248, 95% CI = -0.067--0.003, p = 0.031) were independently associated with slow cognitive decline in patients with AD receiving AChEIs. The baseline blood levels of omega-3 PUFAs were associated with cognitive decline in patients with AD receiving AChEIs. Future randomized controlled trials are needed to clarify whether this association is causal.

Stigma, depression, and anxiety among patients with head and neck cancer.

PURPOSE: Patients with head and neck cancer (HNC) are vulnerable to psychiatric comorbidities, particularly anxiety and depression, and also suffer from cancer stigma. This study aimed to comprehensively compare HNC patients' stigma, depression, and anxiety, and elucidate the underlying relationships among them. METHODS: This cross-sectional study recruited inpatients with HNC from a medical center. Measurements included a psychiatric diagnostic interview, the Shame and Stigma Scale (SSS), the Hamilton Anxiety Rating Scale (HAM-A), the Hamilton Depression Rating Scale (HAM-D), the Explanatory Model Interview Catalogue (EMIC), and stressors of HNC patients. Structural equation modeling was used to establish models of potential mechanisms. RESULTS: Those patients having stressors of worry about health (t = 5.21, p < 0.001), worry about job (t = 2.73, p = 0.007), worry about family (t = 2.25, p = 0.026), or worry about economic problems (t = 2.09, p = 0.038) showed significantly higher SSS score than those having no such stressor. The SSS total score was significantly correlated with HAM-A (r = 0.509, p < 0.001), HAM-D (r = 0.521, p < 0.001), and EMIC (r = 0.532, p < 0.001) scores. Structural equation modeling was used to propose the possible effect of stigma on anxiety (ß = 0.51, p < 0.001), and then the possible effect of anxiety on depression (ß = 0.90, p < 0.001). CONCLUSION: Stigma is significantly correlated with anxiety and depression and might in HNC patients. Proper identification of comorbidities and a reduction of stigma should be advised in mental health efforts among patients with HNC.

BST-1 as a serum protein biomarker involved in neutrophil infiltration in schizophrenia.

OBJECTIVES: Schizophrenia is a serious mental illness. The serum protein biomarkers of schizophrenia were explored using isobaric tags for relative and absolute quantitation (iTRAQ) technology. The underlying function of the identified protein biomarker was also investigated. METHODS: We first collected serum samples from 12 schizophrenia patients and 12 healthy control (HC) subjects, followed by global screening with iTRAQ and tandem mass spectrometry (LC-MS/MS). In total, 691 serum proteins were detected and eight proteins, including ZYX, OSCAR, TPM4, SDPR, BST1, ARGHDB, ITIH5 and SH3BGRL3, were selected for further specific validation with enzyme-linked immunosorbent assay (ELISA) on the serum samples from 52 schizophrenia patients and 50 HC subjects. RESULTS: Schizophrenia patients had significantly lower serum level of BST1 and higher ITIH5 level than the HC subjects did. Using the levels of BST1, ITIH5 and OSCAR combined with machine learning algorithm, we developed a prediction model of schizophrenia with an auROC value 0.78. Moreover, in vitro cell assay confirmed that BST1 significantly repressed neutrophil infiltration through endothelial layer, highlighted the anti-inflammation nature of BST1. CONCLUSIONS: Four novel protein markers (BST1, ITIH5, SDPR, and OSCAR) of schizophrenia were identified, and BST-1 could serve as a serum protein biomarker involved in neutrophil infiltration in schizophrenia.

Month of birth and the risk of narcolepsy: a systematic review and meta-analysis.

STUDY OBJECTIVES: The aim of this study is to evaluate the relationship between the month of birth (MOB) and the risk of narcolepsy. METHODS: We conducted a systematic review of the electronic databases PubMed, Embase, and Cochrane CENTRAL from their inception to September 30, 2021. We also added data on narcolepsy from the National Health Insurance Research Database in Taiwan. Then we extracted the relative risk (RR) ratios of narcolepsy in each month of birth to those of the general population and transformed them from MOB to season. A random-effects model was used to calculate pooled RR ratios from the meta-analysis and 95% confidence interval (CI). RESULTS: The meta-analysis analyzed 7 studies and included 3,776 patients from 8 areas (Canada, China, France, Germany, Hong Kong, Netherlands, Taiwan, and United States). The RR ratio was highest in March (1.11; 95% CI, 0.99-1.26) and August (1.11; 95% CI, 0.98-1.26) and lowest in April (0.90; 95% CI, 0.78-1.03). However, none of the MOBs reached statistical significance. Moreover, the narcolepsy risk patterns on the 3 continents (Asia, Europe, and North America) were different. In North America, the highest and lowest significant risks were found in March (1.47; 95% CI, 1.20-1.79) and September (0.75; 95% CI, 0.56-0.99). In Asia, the lowest notable risk was in April (0.80; 95% CI, 0.66-0.97). In Europe, the risk of narcolepsy was not significantly related to any MOB. In terms of seasons, only spring MOBs in North America had a significantly higher risk (1.21; 95% CI, 1.06-1.38). CONCLUSIONS: The findings indicated that the risk of narcolepsy and MOB differed across the 3 continents. This study indicates the important role of environmental factors in narcolepsy. SYSTEMATIC REVIEW REGISTRATION: Registry: PROSPERO; Identifier: CRD42020186660. CITATION: Hsu C-W, Tseng P-T, Tu Y-K, et al. Month of birth and the risk of narcolepsy: a systematic review and meta-analysis. J Clin Sleep Med. 2022;18(4):1113-1120.

The effects of logotherapy on meaning in life, depression, hopelessness, and suicidal ideation, in patients with depression: An intervention study.

PURPOSE: To evaluate the efficacy of logotherapy on meaning in life, depression, hopelessness, and suicide ideation in patients with depression. DESIGN AND METHODS: A quasi-experimental approach was used and 86 participants were recruited from a psychiatric department in Taiwan. The experimental group received logotherapy for 12 weeks. The control group received depression education as usual. FINDINGS: The results revealed significant differences between and within the groups for meaning in life, depression, hopelessness, and suicide ideation. PRACTICE IMPLICATIONS: Logotherapy was an effective method for increasing meaning in life, reducing the degree of depression, hopelessness, and suicidal ideation for patients with depression.

Metabolic syndrome components and leukocyte telomere length in patients with major depressive disorder.

OBJECTIVES: The relationship between metabolic syndrome (MetS) components and leukocyte telomere length (LTL) attrition in major depressive disorder (MDD) remains unclear. METHODS: We recruited 70 MDD patients (mean age: 44.6 years, 60.0% female) and 51 age- and sex-matched controls (mean age: 41.2 years, 68.6% female) to examine the associations of MetS components and LTL. Five MetS components-waist circumference, systolic/diastolic blood pressure, serum levels of fasting glucose, high-density lipoprotein cholesterol (HDL-C), and triglycerides-were assessed. LTL was measured through quantitative polymerase chain reaction. RESULTS: MDD had higher prevalence of MetS (34.3 vs. 17.6%, p=.042), low HDL-C (25.7 vs. 7.8%, p=.009) and shorter LTL (-0.038 ± 0.169 vs. 0.033 ± 0.213, p=.042). Regression analysis revealed that MDD (p=.046) and age (p=.003) associated with LTL, while a significant interaction effect of group (MDD vs. controls) × HDL-C (p=.037) was observed. Post-hoc analysis showed MDD with low HDL-C had greater LTL attrition than controls without low HDL-C (p=.020). In MDD, HDL-C dysregulation negatively correlated with LTL (p=.010); but no significance after Bonferroni correction. CONCLUSIONS: HDL-C may be involved in accelerated ageing process regarding metabolic disturbance in MDD only. The relationship merits prospective investigations with larger sample size for clarification.

Comparison of the Mini-Mental State Examination and Computerized Brief Cognitive Screening Test as Cognitive Screening Tools in Patients with Mild Cognitive Impairment.

BACKGROUND: The aim of this study was to establish the validity and reliability of the Computerized Brief Cognitive Screening Test (CBCog) for early detection of cognitive impairment. METHODS: One hundred and sixty participants, including community-dwelling and out-patient volunteers (both men and women) aged ≥ 65 years, were enrolled in the cross section study. All participants were screened using the CBCog and Mini-Mental State Examination (MMSE). The internal consistency of the CBCog was analyzed using Cronbach's α test. Areas under the curves (AUCs) of receiver operating characteristic analyses were used to test the predictive accuracy of the CBCog in detecting mild cognitive impairment (MCI) in order to set an appropriate cutoff point. RESULTS: The CBCog scores were positively correlated with the MMSE scores of patients with MCI-related dementia (r = 0.678, P < .001). The internal consistency of the CBCog (Cronbach's α) was 0.706. It was found that the CBCog with a cutoff point of 19/20 had a sensitivity of 97.5% and a specificity of 53.7% for the diagnosis of MCI with education level ≥ 6 years. The AUC of the CBCog for discriminating the normal control elderly from patients with MCI (AUC = 0.827, P < 0.001) was larger than that of the MMSE for discriminating the normal control elderly from patients with MCI (AUC= 0.819, P < .001). CONCLUSION: The CBCog demonstrated to have sufficient validity and reliability to evaluate mild cognitive impairment, especially in highly educated elderly people.

Animal-Assisted Therapy in Middle-Aged and Older Patients With Schizophrenia: A Randomized Controlled Trial.

Objective: Animal-assisted therapy (AAT) has the potential to improve the symptomology, negative emotions, and level of well-being in older adults, as well as patients with mental illness. However, there remains limited evidence supporting the treatment efficacy of AAT in middle-aged and older adults with schizophrenia. Therefore, this study implemented a randomized controlled trial to assess the efficacy of a 12-week AAT psychological intervention with dogs for middle-aged and older patients with chronic schizophrenia in a clinical setting. Method: Patients, age ≥ 40 years, with chronic schizophrenia were allocated randomly to either the AAT group or control group. Patients in the AAT group received an additional hour -long AAT session every week for 12 weeks. Patients in the control group received the usual treatment plus an hour long non-animal related intervention. All patients were assessed based on primary outcome measures before and after the 12-week intervention, including the Positive and Negative Syndrome Scale (PANSS), Depression Anxiety Stress Scales Assessment (DASS), and Chinese Happiness Inventory (CHI). Results: Patients who received AAT had greater improvements in the PANSS and DASS-stress subscale scores than the control group (p < 0.05). The effect was small (success ratio different, SRD = 0.25) for the PANSS and the DASS-stress subscale (SRD = 0.15). There were no significant differences in the change scores of the CHI between the AAT and control groups (p = 0.461). Conclusions: AAT seemed to be effective in reducing psychiatric symptoms and stress levels of middle-aged and older patients with schizophrenia. AAT could be considered as a useful adjunctive therapy to the usual treatment programs.

Differences in Psychiatric Comorbidities and Gender Distribution among Three Clusters of Personality Disorders: A Nationwide Population-Based Study.

Personality disorders (PDs) are grouped into clusters A, B, and C. However, whether the three clusters of PDs have differences in comorbid mental disorders or gender distribution is still lacking sufficient evidence. We aim to investigate the distribution pattern across the three clusters of PDs with a population-based cohort study. This study used the Taiwan national database between 1995 and 2013 to examine the data of patients with cluster A PDs, cluster B PDs, or cluster C PDs. We compared the differences of psychiatric comorbidities classified in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition across the three clusters of PDs. Moreover, we formed gender subgroups of the three PDs to observe the discrepancy between male and female. Among the 9845 patients, those with cluster A PDs had the highest proportion of neurodevelopmental disorders, schizophrenia and neurocognitive disorders, those with cluster B PDs demonstrated the largest percentage of bipolar disorders, trauma and stressor disorders, feeding and eating disorders, and substance and addictive disorders, and those with cluster C PDs had the greatest proportion of depressive disorders, anxiety disorders, obsessive-compulsive disorders, somatic symptom disorders, and sleep-wake disorders. The gender subgroups revealed significant male predominance in neurodevelopmental disorders and female predominance in sleep-wake disorders across all three clusters of PDs. Our findings support that some psychiatric comorbidities are more prevalent in specified cluster PDs and that gender differences exist across the three clusters of PDs. These results are an important reference for clinicians who are developing services that target real-world patients with PDs.