Depression syndromes(anxiety and depression), as typical psychological disorders, often coexist with and mutually influence coronary heart disease(CHD). They constitute a psycho-cardiology disease involving both the blood vessels of the heart and the spirit of the heart. Based on the theory of "coexistence of diseases and depression syndromes", it was proposed that CHD and depression syndromes coexisted independently and were causally related. The factors of depression syndromes go through the entire course of CHD and have different causal relationships at different stages, leading to a pathogenic process of "depression causing disease" or "disease causing depression". In the chronic latent period, phlegm predominates, with depression leading to the production of phlegm. Phlegm accumulation and Qi stagnation initiate a mutual damage process of psycho-cardiology, marking the onset of the disease. In the pathological development period, blood stasis becomes predominant. Depression leads to blood stasis, which further obstructs Qi circulation, accelerating disease progression. In the acute attack period, toxicity becomes crucial. Depression transforms into toxicity, damaging Qi and blood, disturbing the balance of the mind, and inducing a sudden and severe exacerbation of the disease. Based on this, the approach of treating phlegm and depression together, treating blood stasis and depression together, and treating toxicity and depression together by stages was established. Research has found that this approach can simultaneously improve organic damage and emotional disorders, and also has a regulating effect on micro-level syndrome indicators, achieving harmonization of psycho-cardiology in the treatment.
Humans ; Medicine, Chinese Traditional ; Depression/diagnosis* ; Coronary Disease/diagnosis* ; Mucus ; Syndrome ; Anxiety

Objective: To evaluate the effects of sedentary behavior/screen time on mental health of college students by Meta-analysis based on the results of literature retrieval and provide theoretical basis for the improvement of college students' mental health. Methods: The original research literatures about sedentary behavior (including screen time) and college students' mental health published as of 14 July 2022 were retrieved from PubMed, Embase, Cochrane Library, CNKI, VIP and Wanfang data. Data were extracted from the included studies and scored by one author in accordance with the proposed programme, and quality score was reviewed by another author. The literature that met the inclusion criteria was systematically reviewed and Meta-analysis was carried out by software Stata 14.2 based on the data from the literatures. Results: A total of 36 studies met the inclusion criteria, including 35 observational studies and 1 interventional study. There are 4 papers about the effects of sedentary behavior and 9 papers about the effects of screening time on depression in college students and 4 papers about the effects of sedentary behavior/screening time on anxiety in college students were used for a Meta-analysis, and the other studies were also analyzed. The Meta-analysis on the effects of sedentary behavior on depression in college students showed that there was a significant positive correlation between higher level sedentary behavior and increased risk for depression (OR=1.07,95%CI:1.05-1.10). Subgroup analysis indicated that there was no significant correlation between higher level sedentary behavior and depression (OR=1.74, 95%CI:0.93-3.25) in the unadjusted confounding factor model, but there was significance positive correlation after adjusting confounding factors (OR=2.15, 95%CI:1.18-3.90). Meta-analysis on the effects of screen time on depression in college students showed that longer screen time were significantly positively correlated with higher depression level (OR=1.03, 95%CI: 1.02-1.05). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, longer screen time was significantly positively correlated with depression (OR=1.27, 95%CI: 1.13-1.42; OR=1.45, 95%CI: 1.18-1.79) , respectively. Meta-analysis on the effects of sedentary behavior on anxiety showed that longer screen time was significantly positively correlated with increased anxiety risk (OR=1.44, 95%CI: 1.31-1.58). The results of subgroup analysis showed that in both unadjusted confounding factor model and adjusted confounding factor model, there was a significant positive correlation between longer screen time and anxiety (OR=1.47, 95%CI: 1.31-1.65; OR=1.38, 95%CI:1.17-1.62). The analysis for the literatures which were not eligible for Meta-analysis found that sedentary behavior/screen time was significantly associated with stress and other mental health in college students. Conclusions: Sedentary behavior or screen time is significantly negatively correlated with college students' mental health, in particular, resulting in depression and anxiety. These effects might be be different between weekdays and weekend days.
Humans ; Mental Health ; Depression/diagnosis* ; Sedentary Behavior ; Screen Time ; Students/psychology*

Traditional depression research based on electroencephalogram (EEG) regards electrodes as isolated nodes and ignores the correlation between them. So it is difficult to discover abnormal brain topology alters in patients with depression. To resolve this problem, this paper proposes a framework for depression recognition based on brain function network (BFN). To avoid the volume conductor effect, the phase lag index is used to construct BFN. BFN indexes closely related to the characteristics of "small world" and specific brain regions of minimum spanning tree were selected based on the information complementarity of weighted and binary BFN and then potential biomarkers of depression recognition are found based on the progressive index analysis strategy. The resting state EEG data of 48 subjects was used to verify this scheme. The results showed that the synchronization between groups was significantly changed in the left temporal, right parietal occipital and right frontal, the shortest path length and clustering coefficient of weighted BFN, the leaf scores of left temporal and right frontal and the diameter of right parietal occipital of binary BFN were correlated with patient health questionnaire 9-items (PHQ-9), and the highest recognition rate was 94.11%. In addition, the study found that compared with healthy controls, the information processing ability of patients with depression reduced significantly. The results of this study provide a new idea for the construction and analysis of BFN and a new method for exploring the potential markers of depression recognition.
Brain ; Brain Mapping ; Depression/diagnosis* ; Electroencephalography ; Humans ; Recognition, Psychology

OBJECTIVE: To explore the association between postpartum depression (PPD) and transforming growth factor-β (TGF-β) concentrations in human colostrum. METHODS: Participants were recruited from a maternal and infant cohort established in a tertiary general hospital in Guangdong Province between December, 2020 and September, 2021. In the afternoon of the second postpartum day, the women were evaluated with Edinburgh Postnatal Depression Scale (EPDS) for screening PPD (defined as a score of 10 or higher). The women with PPD were matched at a 1:1 ratio with women without PPD with maternal age difference within 5 years and the same mode of delivery. Colostrum samples were collected in morning on the third postpartum day for measurement of TGF-β concentrations using enzyme-linked immunosorbent assay (ELISA), and the association between EPDS scores and TGF-β concentrations was analyzed in the two groups. RESULTS: A total of 90 women were included in the final analysis. The mean concentrations of TGF-β1, TGF-β2 and TGF-β3 in the colostrum were 684.03 (321.22-859.25) pg/mL, 5116.50±1747.04 pg/mL and 147.84±48.68 pg/mL in women with PPD, respectively, as compared with 745.67 (596.00-964.22) pg/mL, 4912.40±1516.80 pg/mL, and 168.21±48.15 pg/mL in women without PPD, respectively. Compared with women without PPD, the women with PPD had significantly lower concentrations of TGF-β1 (P=0.026) and TGF-β3 (P=0.049) in the colostrum. Spearman correlation analysis revealed that the EPDS scores were negatively associated with the concentrations of TGF-β1 (r=-0.23, P=0.03) and TGF-β3 (r=-0.25, P=0.02) in the colostrum. CONCLUSION PPD is associated with decreased concentrations of TGF-β1 and TGF-β3 in human colostrum, suggesting the need of early PPD screening and interventions during pregnancy and the perinatal period to minimize the impact of PPD on human milk compositions.
Child, Preschool ; Cohort Studies ; Colostrum ; Depression, Postpartum/diagnosis* ; Female ; Humans ; Infant ; Postpartum Period ; Pregnancy ; Transforming Growth Factor beta1 ; Transforming Growth Factor beta2 ; Transforming Growth Factor beta3 ; Transforming Growth Factors

Objective: To screen the physical, psychological and behavioral factors related to patients with temporomandibular disorders (TMD) by using Axis Ⅱ assessment instruments of diagnostic criteria for TMD(DC/TMD). And to provide a reference to establish personalized diagnosis and treatment plans for TMD patients so as to prevent TMD and reduce predisposing factors. Methods: A total of 141 TMD patients, who were admitted in the Department of Oral and Maxillofacial Surgery in School and Hospital of Stomatology, Wuhan University from October 2018 to February 2021 were selected. There were 121 females and 20 males, with an average age of 30 years. A total of 90 healthy people were included as controls. A full-time psychologist conducted relevant questionnaire surveys. The questionnaires include general clinical survey forms and TMD symptom questionnaire. In addition, Axis Ⅱ assessment instruments include graded chronic pain scale, jaw functional limitation scale, oral behaviors checklist, patient health questionnaire-9 (depression), generalized anxiety disorder scale, patient health questionnaire-15 (physical symptoms), etc. The main observational indicators include: pain level, pain impact rates, overall classification of chronic pain, limited chewing function score, limited motor function score, limited communication function score, total jaw function restricted score, depression score, anxiety score, somatic symptom score and oral behavior score.The survey data were imported into SPSS 22.0 software for statistical analysis. Results: In the TMD group 60.3% (85/141) patients had various degrees of pain, 24.1% (34/141) of those with pain effect grades from 1 to 3 and 61.0% (86/141) showed chronic pain overall grades from Ⅰ to Ⅳ. The chewing function restricted score was 2.67(1.17, 4.25), motor function restricted score was 4.25(1.75, 6.12), communication function restricted score was 1.13(1.00, 2.25) and total jaw function restricted score was 2.56(1.47, 4.15) respectively. Patients with mild depression or above accounted for 59.6%(84/141), patients with mild anxiety or above accounted for 56.7%(80/141), 46.1%(65/141) patients had somatization symptoms. Statistical differences (P<0.05) were determined between TMD group and control group in various scores of jaw function, oral behavior grading, depression, anxiety, and physical symptoms. Physical symptoms had significantly statistical difference between different diagnostic classification(P<0.05). Meanwhile, among the different chronic pain levels in the TMD group, there were statistical differences in the various scales of mandibular dysfunction, depression, anxiety, and somatization. In the TMD group, other significant differences were noticed between males and females in terms of the average score of mouth opening, verbal and facial communication, the total score of mandibular dysfunction as well as physical symptoms (P<0.05). Conclusions: Compared with the healthy people, patients with TMD had more abnormal oral behaviors, different restriction of the mandibular functional activities. At the same time, depression, anxiety, and somatization were more serious. Patients with osteoarthritis and subluxation of temporomandibular joint were more likely to suffer physical symptoms. TMD patients suffering from pain had more severe mandibular dysfunction and symptoms of depression, anxiety, and somatization.
Adult ; Depression/diagnosis* ; Facial Pain ; Female ; Humans ; Male ; Mandible ; Somatoform Disorders ; Temporomandibular Joint Disorders/diagnosis* ; Temporomandibular Joint Dysfunction Syndrome

This paper analyzed literatures on the specificity study of electroencephalogram (EEG) in the diagnosis of depression since 2010 to 2020, summarized the recent research directions in this field and prospected the future research hotspots at home and abroad. Based on databases of China National Knowledge Infrastructure (CNKI) and the core collection of Web of Science (WOS), CiteSpace software was used to analyze the relevant literatures in this research field. The number of relevant literatures, countries, authors, research institutions, key words, cited literatures and periodicals related to this research were analyzed, respectively, to explore research hotspots and development trends in this field. A total of 2 155 articles were included in the WOS database. The most published institution was the University of Toronto, the most published country was the United States, China occupied the third place, and the hot keywords were anxiety, disorder, brain and so on. A total of 529 literatures were included and analyzed in CNKI database. The institution with the most publications was the Mental Health Center of West China Hospital of Sichuan University, and the hot keywords were EEG signal, event-related potential, convolutional neural network, schizophrenia, etc
Databases, Factual ; Depression/diagnosis* ; Electroencephalography ; Humans ; Publications ; Software ; United States

OBJECTIVES: Primary health workers are the first fine to identify postpartum depression, which is important for patients with this disease to get early specialist diagnosis and treatment. The smartphone-based virtual patient is economical, convenient and effective, and has been applied extensively to evaluate the competency to detect postpartum depression, but there is no relevant application in China. This study aims to use virtual patient to assess the current status on the competency of detecting postpartum depression among primary maternal and child health workers in Hunan Province, and to explore potential influencing factors. METHODS: A total of 222 primary maternal and child health workers from 3 regions with low, medium, and high economic levels in Hunan Province were enrolled, and smartphone-based virtual patients with postpartum depression were used for the assessment from May to July in 2018, and a self-designed questionnaire was used to investigate their demographic characteristics. The competency to detect postpartum depression was measured by 2 indicators: diagnostic accuracy and treatment accuracy. Descriptive statistical methods were used to describe the competency to detect postpartum depression among them and their demographic characteristics. A logistic regression analysis was used to explore the possible influencing factors for the diagnostic accuracy and treatment accuracy. RESULTS: The diagnostic accuracy rate was 64.0%. There was no significant difference between the demographic characteristics and diagnostic accuracy rate ( CONCLUSIONS About half of the primary maternal and child health workers in Hunan Province, China have basic competency to detect postpartum depression, but the overall results are not satisfactory. The regional economic level is correlated with the competency of detecting postpartum depression, and the competency of detecting postpartum depression is stronger in more developed areas. Moreover, for the patients who have been identified as postpartum depression, the rate of correct treatment is low, which warrants particular attention in the follow-up training.
Child ; China ; Cross-Sectional Studies ; Depression, Postpartum/diagnosis* ; Female ; Health Personnel ; Humans ; Surveys and Questionnaires

The objective of this study was to investigate factors affecting the return home one year after a stroke. The subjects of this study consisted of patients who participated in a large-scale multi-objective cohort study of initial stage stroke patients who were admitted to 9 representative hospitals in Korea. We analyzed the distribution of the subjects who had experienced stroke a year earlier by distinguishing the group who returned home and the other group that was hospitalized in rehabilitation hospitals. Based on this distribution, we evaluated the demographic, environmental, clinical, and psychological factors that can affect the return home. Overall, there were 464 subjects in the ‘Return home’ group and 99 subjects in the ‘Rehabilitation hospitalization’ group. job status, inconvenient housing structures, residential types, diagnosis, Functional Ambulation Categories, modified Rankin Scale, Korea-Modified Barthel Index, Function Independence Measure, Fugl-Meyer Assessment, Korean version of Mini-Mental State Examination, Korean version of Frenchay Aphasia Screening Test, Psychosocial Well-being Index-Short Form, Geriatric Depression Scale-Short Form, EuroQol-five Dimensional showed a significant difference between the 2 groups one year after the stroke. The factors affecting the return home one year after a stroke include functional status, activities of daily living, cognition, depression, stress, quality of life, job status. It is expected that factors affecting the rehabilitation of patients with stroke can be considered as basic data for establishing rehabilitation goals and treatment plans.
Activities of Daily Living ; Aphasia ; Cognition ; Cohort Studies ; Depression ; Diagnosis ; Housing ; Humans ; Korea ; Mass Screening ; Patient Discharge ; Psychology ; Quality of Life ; Rehabilitation ; Stroke ; Walking

OBJECTIVES: To understand the psychological status of the staff in a general hospital during the coronavirus disease 2019 and its influential factors, and to provide references for the mental health services to hospital staff. METHODS: Using star platform of questionnaire, the staff in the general hospital were investigated via Depression, Anxiety, Stress Scale (DASS-21), Social Support Rating Scale (SSRS) and Simplified Coping Style Questionnaire (SCSQ). The influential factors were discussed by descriptive analysis, rank sum test, single factor analysis, correlation analysis and multiple factors binary logistic regression analysis. RESULTS: A total of 2 060 valid questionnaires were collected. The negative emotions of nurses and cleaners were the most obvious. The depression scores, anxiety scores and stress scores for nurses and cleaners were 5.06±7.47, 6.36±7.84, 9.75±8.65, and 6.72±8.84, 4.51±6.56, 9.69±9.56, respectively. Multivariate binary logistic regression analysis showed that staff types, education levels, job status, economic situation and concerns on the supplies of protective goods were the main influential factors for depression; staff types, contacting status with infected patients, economic situation, concerns on the supplies of protective goods, history of disease were the main influential factors for anxiety; contacting status with infected patients, economic situation, concerns on the supplies of protective goods were the main influential factors for stress. CONCLUSIONS There are differences in psychological characteristics among different groups of staff in the general hospital under the outbreak. Thus psychological protection and intervention measures should be formulated according to different groups and work status.
Adaptation, Psychological ; Anxiety ; diagnosis ; Betacoronavirus ; China ; Coronavirus Infections ; psychology ; Cross-Sectional Studies ; Depression ; diagnosis ; Disease Outbreaks ; Hospitals, General ; Humans ; Pandemics ; Personnel, Hospital ; psychology ; Pneumonia, Viral ; psychology ; Stress, Psychological ; Surveys and Questionnaires

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic is a global public health crisis, which elicits psychological problems in different population This study is to investigate the impact of COVID-19 on mental health in the front-line staff. METHODS: Patient Health Questionnare-9 (PHQ-9), Self-Rating Anxiety Scale (SAS), and Fatigue Self-assessment Scale (FSAS) were used to assess the depression, anxiety, and fatigue in front-line staff. RESULTS: The detection rates of depression, anxiety, and fatigue were 49.1%, 21.8%, and 76.0% among the front-line staff. The rates of depression, anxiety, and fatigue in community workers were higher than those in medical workers and other occupational staff (<0.01). The PHQ-9 of front-line staffs was negatively correlated with age, family income, family members' support, satisfaction of service objects, and sleep quality (all <0.01), while positively correlated with education level, fatigue, fear of pneumonia, and the duration of daily attention to the COVID-19 (all <0.01). SAS was negatively correlated with age, family income, family support, satisfaction of objects service, and sleep quality (all <0.01), while positively correlated with gender, fatigue, fear of pneumonia, and duration of daily attention to the COVID-19 (all <0.01). CONCLUSIONS The front-line workers should manage work and rest time reasonably to adjust their negative mood and fatigue. The government and the society should pay more attention to the psychological state of the front-line staff, particularly for the staff working in the community or villages and towns in preventing the COVID-19 pandemic. Thus, front-line staff can be obtained mental intervention or be taken a rest from the high-intensive work.
Anxiety ; diagnosis ; Betacoronavirus ; Coronavirus Infections ; prevention & control ; psychology ; Depression ; diagnosis ; Fatigue ; diagnosis ; Health Personnel ; psychology ; Humans ; Mental Health ; Pandemics ; prevention & control ; Pneumonia, Viral ; prevention & control ; psychology