1.Relationship between screen time and addictive non-suicidal self-injury behaviors among adolescent female patients with depression disorder: the mediating role of family dysfunction
Yifan LIU ; Wenle ZHANG ; Weige WU ; Jun TANG ; Yiyin HUANG ; Yun LI
Sichuan Mental Health 2026;39(2):119-125
BackgroundAddictive non-suicidal self-injury (NSSI) behaviors among adolescents have become increasingly prominent, although previous studies have identified multiple related risk factors and have examined the association between screen time and NSSI behaviors, the impact of screen time on NSSI behaviors addiction, as well as the mediating role of family dysfunction in this relationship, remain to be further clarified. ObjectiveTo investigate the mediating role of family dysfunction in the relationship between screen time and NSSI behaviors addiction among adolescent female patients with depression disorder, with the aim of providing references for reducing NSSI behaviors addiction. MethodsFrom September 2024 to November 2025, a total of 652 adolescent female patients with depression disorder were enrolled from both outpatient and inpatient departments of Xiamen Xian-yue Hospital, all of whom met the diagnostic criteria for depressive episode (F32) or recurrent depressive disorder (F33) according to the International Classification of Diseases, tenth edition (ICD-10). Assessments included a self-developed demographic questionnaire, screen use questionnaire, Chinese Family Assessment Instrument (C-FAI), and Ottawa Self-injury Inventory Chinese Revised version (OSIC). Among participants with NSSI behaviors, Spearman correlation analysis was used to examine the correlation between screen time and scale scores. Model 4 of the Process 4.1 for SPSS 26.0 was then applied to test the mediating role, and Bootstrapping procedure involving 5 000 replicates was employed to confirm the statistical significance. ResultsAmong the 652 patients, 569 (87.27%) exhibited NSSI behaviors. Among them, 398 cases (69.95%) belonged to the addictive NSSI group, and 171 cases (30.05%) belonged to the non-addictive NSSI group. The OSIC addiction dimension score was positively correlated with screen time and C-FAI scores (rs=0.114, 0.224, P<0.01). Family dysfunction mediated the relationship between screen time and NSSI addiction, with an indirect effect value of 0.036 (95% CI: 0.016–0.062), accounting for 35.88% of the total effect. ConclusionScreen time may affect the NSSI behaviors addiction in adolescent female patients with depression disorder through family dysfunction. [Funded by Joint Funds for the Innovation of Science and Technology, Fujian Province (number, 2025Y9762)]
2.Constructing an actor-network theory for integrating sports activity into rehabilitation based on Rehabilitation in Health Service System
Yaning CHENG ; Di CHEN ; Chenchen TANG ; Yifan TIAN ; Lixu LIU ; Yingxin ZHANG ; Yizheng WANG ; Yaling HUANG
Chinese Journal of Rehabilitation Theory and Practice 2026;32(5):508-521
ObjectiveTo construct an actor-network for integrating physical activity into rehabilitation services based on the World Health Organization Rehabilitation in Health Service System framework and actor-network theory (ANT). MethodsContent analysis was employed using the six building blocks of health service systems as the theoretical framework. Actors related to rehabilitation services were extracted and categorized into a rehabilitation actor pool, while a physical activity actor pool was formed based on four major physical activity scenarios. Actors from both pools were integrated, deduplicated and classified to form a final list of integrated actors. Using ANT, the construction process of the actor network integrating physical activity into rehabilitation was analyzed through the four stages of translation: problematization, interessment, enrollment and mobilization. ResultsA dynamic integration network was constructed, comprising human actors (patients, rehabilitation professionals, researchers, sports coaches, government departments, medical institutions, community organizations and industry media, etc.) and non-human actors (assistive devices, sports infrastructure, smart equipment, information systems, online exercise guidance systems, laws and regulations, strategic documents, and exercise prescriptions, etc.). The study identified maximizing rehabilitation outcomes as the mandatory passage point and elaborated on the critical role of government departments as focal actors in coordinating various stakeholders. ConclusionThe integration of physical activity into rehabilitation services is a dynamic network constructed by diverse actors through a process of translation. ANT provides an operational theoretical framework for cross-departmental governance of rehabilitation policies in China, promotes the spatial expansion of the rehabilitation field, and drives its transformation toward a networked and ecological system. The government needs to play a leading role in facilitating role reconstruction and synergy among heterogeneous actors in both the sports and rehabilitation sectors through mechanism design, to create a bidirectional empowerment mechanism that fosters mutual progress and ensures the sustainable development of integrated services.
3.Categorizing Tongue Patterns in Ulcerative Colitis Using Deep Learning Techniques
Yiheng TONG ; Yifan ZHAO ; Guoying YAN ; Gaibo HUANG ; Xieda SONG ; Jingyi HU ; Lei ZHU ; Hong SHEN
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(9):2646-2653
Objective To promote the objectification and intelligence of clinical TCM tongue diagnosis in ulcerative colitis(UC).Methods Daosheng DS01-B tongue and face diagnosis information collection system was used to prospectively collect tongue image pictures of patients with ulcerative colitis damp-heat in the large intestine syndrome(DCSR)and spleen deficiency dampness retention syndrome(PXSY),with totaling 1096 images.After UC tongue image segmentation,preprocessing,and data augmentation,a data set of UC tongue images was formed.Based on ResNet50,a UC tongue image classification model was constructed using feature fusion methods and attention modules.Results The UC tongue image classification model constructed had better classification performance,with an average F1 value of 85.09%,an AUC value of 0.83 for PXSY,and an AUC value of 0.81 for DCSR,both of which were higher than the VGG11 and ResNet50 models.Conclusion The constructed UC tongue image classification model can effectively identify DCSR and PXSY,providing a new approach to improve the accuracy and objectivity of UC differentiation and assisting in the intelligence of TCM tongue diagnosis.
4.Development of the Motivation for Bedtime Procrastination Questionnaire for College Students
Yifan ZHANG ; Meijiao HUANG ; Min LI ; Xuan WANG ; Zhijun YU ; Haihui CHEN ; Runtong JIA ; Fang FAN
Chinese Mental Health Journal 2025;39(5):471-476
Objective:To develop the Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)and evaluate its validity and reliability.Methods:Based on literature analysis,interviews with severe bedtime procrastinators,and open-ended surveys with college students,the initial questionnaire was formed.A total of 389 college students were recruited to conduct item analysis and exploratory factor analysis.Additionally,691 college students were selected for confirmatory factor analysis,criterion validity testing,and internal consistency reliability analysis,and 132 of them were retested two weeks later.The subscale of behav-ioral intention from the Theory of Planned Behavior Questionnaire(TPBQ),Bedtime Procrastination Scale(BPS),and a self-made question for the frequency of bedtime procrastination were used as criterion tools.Results:The CS-MBPQ consists of 10 items,encompassing three factors:emotional need,external influence,and behavioral attitude,explaining 63.31%of the variance.Confirmatory factor analysis indicated that the three-factor structure model of CS-MBPQ fitted well(x2/df=4.90,RMSEA=0.07,CFI=0.96,TLI=0.94).The CS-MBPQ total scores and scores for each factor were positively associated with the score of intentions to sleep on time,BPS scores,and bed-time procrastination frequency(ICC=0.14-0.53,Ps<0.05).The internal consistency reliabilities for CS-MBPQ and the three factors were 0.87,0.89,0.74,and 0.66,respectively,and the test-retest reliabilities(ICC)were 0.74,0.66,0.69,and 0.58,respectively.Conclusion:The Motivation for Bedtime Procrastination Questionnaire for College Students(CS-MBPQ)demonstrates good validity and reliability,which could be used as a tool to evaluate motivations for bedtime procrastination among Chinese college students.
5.Research progress on facial expressions for assessing emotions in dogs
Ning SUN ; Yan ZHANG ; Liuwei XIE ; Shu XU ; He HUANG ; Xianxin XU ; Yifan SUN ; Shifan TAO
Acta Laboratorium Animalis Scientia Sinica 2025;33(4):567-580
Emotions are an integral part of animal welfare.Facial expressions are increasingly used as a non-invasive method for assessing the emotional state of animals.Dogs(Canis familiaris)are closely related to humans,and facial expressions are crucial for interspecies communication and emotional expression.This paper reviews the neurobiological mechanisms of facial expressions and the anatomical structure of the facial muscles and their evolution in dogs,the analogy between dog and human facial expressions,and the expression of various parts of the dog's face under different emotions.These studies demonstrate that dog's facial expressions can be used as a potential indicator of animal welfare,and that dogs can be used as a model animal for studying interspecies facial emotional communication.The use of dog's facial expressions to assess emotions will aid multidisciplinary research,including in the fields of neuroscience,psychopharmacology,animal behavior,and animal welfare.
6.Analysis of one case of suspected leukemic reaction caused by inosine injection
Yixin HUANG ; Qinwen ZHU ; Yifan WU ; Xinyan LIU
Chinese Journal of Pharmacoepidemiology 2025;34(4):480-484
A 34-year-old female patient with multiple injuries in a car accident was admitted to hospital and received inosine injection.After 11 days,leukemioid reaction mainly characterized by"abnormal increase in white blood cell count"occurred,and the white blood cell count reached up to 38.26×109·L-1.Considering that inosine injection was the cause,the white blood cell count gradually decreased to 15.84×109·L-1 after the drug was stopped.Naranjo's assessment scale was used to evaluate the association of adverse reactions,with a score of 6,and the result was"very likely to be relevant".The cases reported in this paper belong to new adverse reactions caused by inosine injection,suggesting that inosine injection as an adjunct should pay attention to drug safety.If there is an abnormal increase in white blood cell count,it is necessary to be alert to the possibility of"leukemioid reaction"and stop the drug in time if necessary.
7.Categorizing Tongue Patterns in Ulcerative Colitis Using Deep Learning Techniques
Yiheng TONG ; Yifan ZHAO ; Guoying YAN ; Gaibo HUANG ; Xieda SONG ; Jingyi HU ; Lei ZHU ; Hong SHEN
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(9):2646-2653
Objective To promote the objectification and intelligence of clinical TCM tongue diagnosis in ulcerative colitis(UC).Methods Daosheng DS01-B tongue and face diagnosis information collection system was used to prospectively collect tongue image pictures of patients with ulcerative colitis damp-heat in the large intestine syndrome(DCSR)and spleen deficiency dampness retention syndrome(PXSY),with totaling 1096 images.After UC tongue image segmentation,preprocessing,and data augmentation,a data set of UC tongue images was formed.Based on ResNet50,a UC tongue image classification model was constructed using feature fusion methods and attention modules.Results The UC tongue image classification model constructed had better classification performance,with an average F1 value of 85.09%,an AUC value of 0.83 for PXSY,and an AUC value of 0.81 for DCSR,both of which were higher than the VGG11 and ResNet50 models.Conclusion The constructed UC tongue image classification model can effectively identify DCSR and PXSY,providing a new approach to improve the accuracy and objectivity of UC differentiation and assisting in the intelligence of TCM tongue diagnosis.
8.Standardization of electronic medical records data in rehabilitation
Yifan TIAN ; Fang XUN ; Haiyan YE ; Ye LIU ; Yingxin ZHANG ; Yaru YANG ; Zhongyan WANG ; Meng ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Fubiao HUANG ; Qiuchen HUANG ; Yiji WANG ; Di CHEN ; Zhuoying QIU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):33-44
ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.
9.Standardization of outpatient medical record in rehabilitation setting
Ye LIU ; Qing QIN ; Haiyan YE ; Yifan TIAN ; Yingxin ZHANG ; Yaru YANG ; Zhongyan WANG ; Meng ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Fubiao HUANG ; Qiuchen HUANG ; Yiji WANG ; Di CHEN ; Zhuoying QIU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):45-54
ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.
10.Structure, content and data standardization of inpatient rehabilitation medical record summary sheet
Haiyan YE ; Qing QIN ; Ye LIU ; Yifan TIAN ; Yingxin ZHANG ; Yaru YANG ; Zhongyan WANG ; Meng ZHANG ; Xiaoxie LIU ; Yanyan YANG ; Bin ZENG ; Mouwang ZHOU ; Yuxiao XIE ; Guangxu XU ; Jiejiao ZHENG ; Mingsheng ZHANG ; Xiangming YE ; Fubiao HUANG ; Qiuchen HUANG ; Yiji WANG ; Di CHEN ; Zhuoying QIU
Chinese Journal of Rehabilitation Theory and Practice 2025;31(1):55-66
ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.

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