ObjectiveTo explore the coercive experience of involuntarily hospitalized adolescents with mental disorders during the admission process and hospitalization， providing references for formulating targeted nursing interventions. MethodsSemi-structured interviews were conducted with 15 involuntarily hospitalized adolescents with mental disorders selected from October to December 2023， and the themes were summarized and extracted by content analysis. ResultsA total of 3 themes and 10 sub-themes were extracted， which were used to elaborate the essential contents， causes， and improvement methods of coercive experience. These encompassed the multi-dimensional content of coercive experience （complex emotional experience， different physical sensations， and contradictory cognitive evaluation）， the multi-faceted causes of coercive experience （insufficient personal preparation， inadequate parental communication， and strict medical management system）， as well as the phased improvement of coercive experience （adequate communication before hospitalization， patient notification before coercive intervention， respecting for demands during coercive intervention， and comforting explanation after coercive intervention）. ConclusionThe essential content of the coercive experience of involuntarily hospitalized adolescents with mental disorders is complex and has various causes， which require cooperation from multiple parties to improve. Therefore， parents should respect the expression of their children’s self-will， and medical staff should respect patients’ autonomy， establishing a protection-constrained doctor-patient relationship model and collaborating to reduce the use of coercive interventions， to improve the overall medical satisfaction of adolescents with mental disorders.

BackgroundPatients with schizophrenia experience low quality of life， and internalized stigma is considered an important indicator for quality of life， while the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life remains underexplored. ObjectiveTo examine the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life， so as to provide references for improving their quality of life. MethodsA total of 342 patients with schizophrenia who were hospitalized in 6 hospitals in Xiangyang City， Siping City and Changchun City from April to September 2023 were included， and all of whom met the diagnostic criteria for schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10）. Internalized Stigma of Mental Illness Scale （ISMI）， Schizophrenia Quality of Life Scale （SQLS）， Self-Esteem Scale （SES） and negative symptom subscale of Positive and Negative Symptom Scale （PANSS） were administered to all patients. Spearman correlation analysis was adopted to determine correlations between the different scales. A structural equation modeling was constructed using Amos 28.0， and Bootstrap method was employed to verify the mediating effect of self-esteem and negative symptom severity in the association between internalized stigma and quality of life. ResultsA total of 309 patients （90.35%） completed questionnaires in this study. The ISMI score of schizophrenia patients was positively correlated with both SQLS score and the PANSS negative symptom subscale score （r=0.612， 0.492， P<0.01）， while was negatively correlated with SES score （r=-0.513， P<0.01）. The SQLS score was negatively associated with the SES score （r=-0.555， P<0.01） and positively associated with PANSS negative symptom subscale score （r=0.672， P<0.01）. The SES score was negatively correlated with PANSS negative symptom subscale score （r=-0.433， P<0.01）.The total effect value of internalized stigma on quality of life was 0.746 （95% CI： 0.680~0.806）. Self-esteem and severity of negative symptoms independently mediated the relationship between internalized stigma and quality of life， and the indirect effect values were 0.151 （95% CI： 0.062~0.254） and 0.126 （95% CI： 0.047~0.205）， accounting for 20.24% and 16.89% of the total effect， respectively. In addition， a chained mediation effect of self-esteem and quality of life was also demonstrated， the indirect effect value was 0.102 （95% CI： 0.049~0.165）， accounting for 13.67% of the total effect）. ConclusionInternalized stigma in patients with schizophrenia patients can not only directly affect the quality of life， but also indirectly affect the quality of life of patients through either separate or chained mediation of self-esteem and the severity of negative symptoms. ［Funded by Hubei Provincial Undergraduate Innovation and Entrepreneurship Project （number， S202410519027）］

OBJECTIVE To explore comprehensive management and potential issues associated with long-term prescriptions medications of psychiatry， in order to provide a reference for the comprehensive management of long-term prescriptions of psychiatry in psychiatric hospitals and other medical institutions’ pharmacies. METHODS Starting from the applicable principles for long-term prescriptions of psychiatry， this study introduced the standardized assessment and precautions before issuing long-term prescriptions， the formulation and adjustment of the drug list， as well as the rational management of the long-term prescriptions. It also analyzed potential issues that may arise in the comprehensive management of long-term prescription medications and proposed corresponding countermeasures and suggestions. RESULTS & CONCLUSIONS Prior to initiating long-term prescriptions， a standardized assessment should be conducted on patients from the aspects of their psychiatric condition and long-term potential risk factors， pharmacological treatment plans and other non-pharmacological therapies， physical illnesses. Additionally， healthcare providers should fulfill their obligation to inform patients or their family members. The comprehensive management of long-term prescription medications should be jointly established and improved by multiple departments， and the formulation of drug catalogs should avoid including drugs with potential social harm or medication risks while complying with policy requirements. Furthermore， measures such as adding special identifiers to long-term prescriptions， providing patients with reminders about （No.YGLX202537） prescription expiration， or offering online consultations can also effectively enhance the rationality of medication use under long-term prescriptions. Currently， the implementation of long-term prescriptions in psychiatry remains challenged by inconsistencies in prescription duration， incomplete coverage of diagnostic categories， poor patient adherence， and the risk of deviation in clinical assessments. In this regard， measures such as collaborating with multiple departments to strengthen long-term prescription information management， providing matching pharmaceutical services， ensuring the quality and rationality of long-term prescription implementation， and using modern methods to screen high-risk patients can be taken to improve patient medication compliance and safety.

ObjectiveTo analyze the relationship between somatic symptoms， five-state personality and emotional symptoms of bipolar disorder （BD）， and to provide a reference for the clinical diagnosis and treatment of BD. MethodsThe basic information of the BD patients was collected， and the self-administered somatic symptom questionnaire was used to investigate the somatic symptoms with a frequency of ＞20%， which were scored as the somatic symptom scores； the 24-item Hamilton Depression Scale （HAMD） was used to evaluate the patients' depressive symptoms， the Young Mania Rating Scale （YMRS） was used to evaluate the patients' manic symptoms， the Hamilton Anxiety Scale （HAMA） was used to evaluate the patients' anxiety symptoms， and Five-State Personality Test was used to evaluate the patients' five-state personality （including taiyang personality， shaoyang personality， yin-yang balance personality， shaoyin personality， and taiyin personality）. Network analysis and linear regression were used to analyse the correlation between the somatic symptom scores and the five-state personality scores， HAMD scores， YMRS scores， and HAMA scores. ResultsThere were 269 patients with BD included， and 19 somatic symptoms with a frequency of ＞20%， the top three being lack of strength （152 cases， 56.51%）， dry mouth （137 cases， 50.93%）， and preference for cold drinks （112 cases， 41.64%）， and the somatic symptom scores were ［7.0 （0，10.0）］ points； the YMRS scores were ［3.0 （0， 7.5）］ points； the HAMD scores were ［11.0 （5.0， 18.0）］ points； and HAMA score was ［6.0 （2.0， 10.0）］ points. Among the five-state personalities， taiyang personality ［10.0 （7.0， 13.0）］ score； shaoyang personality ［10.0 （7.5， 13.0）］ score； yin-yang balance personality ［5.0 （3.0， 7.0）］ score； shaoyin personality ［13.0 （10.0， 16.0）］ score； and taiyin personality ［14.0 （9.0， 18.0）］ score. Complex network analysis showed that BD somatic symptoms were positively correlated with taiyin personality score （r = 0.23）， HAMD score （r = 0.21）， and YMRS score （r = 0.13）； taiyin personality score was positively correlated with HAMD score （r = 0.17） and negatively correlated with YMRS score （r = -0.03）. Linear regression analyses showed that somatic symptom scores were positively correlated with HAMD score （β = 0.138， P = 0.003）， YMRS score （β = 0.128， P = 0.006）， and taiyin personality scores （β = 0.182， P＜0.001）. ConclusionDepression， mania， and taiyin personality are independent risk factors for somatic symptoms in patients with BD， and taiyin personality is strongly associated with somatic symptoms in patients with BD.

ObjectiveTo explore the elements， distribution and characteristics of traditional Chinese medicine （TCM） syndromes in depressive episodes of bipolar disorder （BD）. MethodsBasic information， along with the four examination information， the Hamilton Depression Scale and Young Mania Rating Scale scores， were collected from 293 outpatients with BD at Beijing Anding Hospital， Capital Medical University. The four examination information with an occurrence rate greater than 12% were retained. The R language “dist” function was used to calculate the distances between samples using the Euclidean distance method. The hierarchical clustering of the four examination information was performed using the “hclust” function and the squared Euclidean distance method. A team of five researchers was formed to determine the nature and location of the essential elements of TCM syndrome in BD based on the clustering results. The PC algorithm was used to construct a Bayesian network model of the essential elements. The working group combined the essential elements of TCM syndromes in the Bayesian network according to the reference model results， and then extracted common TCM syndromes. The score of each patient based on the essential elements was matched with the common TCM syndromes to determine the syndrome type of each patient. The working group then performs conformity and revision based on this， obtaining the final distribution of TCM syndromes for the patients. ResultsThere were 77 common TCM symptoms in BD with a frequency greater than 12%. The top 15 symptoms with higher frequencies were slippery pulse， mental fatigue and lack of strength， wiry pulse， excessive rumination， preference for solitude， vexation， agitation and irritability， dry mouth， palpitations， profuse dreaming， unwarranted worries， chest oppression， thin white coating， amnesia， frequent sighing， and poor appetite. TCM syndrome elements of BD can be grouped into 11 categories. The nature of disease-related essential elements included fire， qi deficiency， blood deficiency， qi counterflow， yin deficiency， dampness， heat， fire from constraint， and phlegm. The location of disease-related essential elements included heart， liver， spleen， stomach， kidney， bladder channel， and gallbladder. By constructing a Bayesian network model and considering the opinions from the experts， six common syndromes of BD were identified， among which the highest proportion was heart-stomach heat accumulation， accounting for 27.99% （82 cases）， followed by heart-spleen deficiency （55 cases， 18.77%）， non-interaction between the heart and the kidney （49 cases， 16.72%）， liver constraint and blood deficiency （42 cases， 14.33%）， heart qi deficiency （37 cases， 12.63%）， and damp-heat in the liver and gallbladder （28 cases， 9.56%）. ConclusionsThe nature of disease-related elements of BD are predominantly fire and heat， while the location of disease-related essential elements are primarily associated with the heart， liver， and spleen. The most common TCM syndromes are heart-stomach heat accumulation and heart-spleen deficiency.

BackgroundPatients with depressive disorder commonly experience sleep disturbances. Previous studies have indicated that group exercise therapy is beneficial in alleviating depressive symptom among patients with depressive disorder. However， there is a lack of research on the impact of group exercise therapy on improving sleep quality in patients with depressive disorder. ObjectiveTo explore the impact of group exercise therapy on sleep quality in patients with acute mild-to-moderate depression during the acute phase， so as to provide references for clinically improving the sleep quality of patients with mild to moderate depressive disorder during the acute phase. MethodsFrom December 2018 to July 2021， patients with mild-to-moderate depressive disorder during the acute phase （n=40）， who met the diagnostic criteria for depressive disorder according to International Classification of Diseases， tenth edition （ICD-10） ，were recruited from the outpatient clinic of Beijing Anding Hospital， Capital Medical University. All participants underwent an 8-week moderate-intensity group exercise therapy program comprising three sessions per week， each lasting 60 minutes. Assessments were conducted at baseline and after 2， 4， 6 and 8 weeks of intervention using Visual Analogue Scale （VAS）， Hamilton Depression Scale-17 item （HAMD-17） and Pittsburgh Sleep Quality Index （PSQI）. The reduction scores at each time point relative to baseline treated as the dependent variables， time as the independent variable， baseline scores as covariates， with time as a fixed effect and baseline values as random effects. Data were analyzed using a linear mixed-effects model. ResultsThe PSQI scores of patients at baseline， 2， 4 ， 6 and 8 weeks after the intervention were （10.62±5.12）， （9.07±3.58）， （7.39±3.66）， （6.54±3.84） and （5.50±3.41）， respectively. The results of linear mixed effect model analysis showed that after 2， 4， 6 and 8 weeks of intervention， patients scored lower than baseline， with statistically significant differences observed in all cases （P<0.01）. The HAMD-17 sleep fcctor scores at baseline， 2， 4， 6 and 8 weeks were （2.25±1.56）， （2.06±1.49）， （1.36±1.27）， （1.22±1.46） and （0.97±1.34）， respectively. The results of linear mixed effects model analysis showed that the HAMD-17 sleep factor scores of 4， 6 and 8 weeks of intervention were lower than that of baseline， and the difference was statistically significant （P<0.05 or 0.01）. The VAS scores at baseline， 2， 4， 6 and 8 weeks after the intervention were （3.18±2.17）， （4.74±2.22）， （6.01±2.31）， （6.54±2.16） and （7.90±1.64）， respectively. The results of linear mixed effect model analysis showed that VAS scores of 2， 4， 6 and 8 weeks of intervention were higher than baseline，and the difference was statistically significant （P<0.01）. ConclusionGroup exercise therapy may improve sleep quality and alleviate depressive symptoms in patients with mild-to-moderate depressive disorder during the acute phase. ［Funded by National Key Research and Development Plan Project （number， 2016YFC1307200）； Beijing Municipal Hospital Scientific Research and Cultivation Plan Project （number， PX2024070）］

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.

Objective: The aging demographic landscape worldwide portends a heightened prevalence of neurodegenerative disorders. Foremost among these is Alzheimer’s disease (AD), the foremost cause of dementia in older adults. The shortage of efficacious therapies and early diagnostic indicators underscores the imperative to identify non-invasive biomarkers for early detection and disease monitoring. Recently, blood metabolites have emerged as promising candidates for AD biomarkers. Methods: Leveraging nuclear magnetic resonance (NMR) spectroscopy on plasma specimens, we conducted a cross-sectional study encompassing 35 AD patients and 35 age-matched healthy controls. Cognitive function was evaluated using the mini-mental state examination in all participants, followed by peripheral blood sample collection. We utilized univariate and multivariate analyses to perform targeted lipidomic profiling via NMR spectroscopy. Results: Our study revealed significant differences in the expression profiles of low-density lipoprotein-associated subfractions in females and high-density lipoprotein-associated subfractions in males between AD patients and healthy controls (all p<0.05). However, there was no significant metabolite overlap between males and females. Furthermore, receiver operating characteristic curve analysis demonstrated that the combination of lipid metabolites had good diagnostic values (all area under the curve>0.70; p<0.05). Conclusion Our findings suggest that the blood plasma samples using NMR hold promise in distinguishing between AD patients and healthy controls, with significant clinical implications for advancing AD diagnostic methodologies.