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

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

OBJECTIVE: To explore the risk factors of anxiety and depression in patients with suspected coronavirus disease 2019 (COVID-19) so as to achieve early intervention and better clinical prognosis. METHODS: Seventy-six patients with suspected COVID-19 in fever isolation wards of Second Hospital of Lanzhou University were enrolled From January 31, 2020 to February 22, 2020. Their clinical baseline data were collected. The anxiety of patients was assessed by Hamilton Anxiety Scale, and the depression of patients was assessed by Hamilton Depression Scale. Multivariate Logistic regression analysis was performed to explore the risk factors of anxiety and depression in these patients. RESULTS: Female patients are more likely to have anxiety (=3.206, 95%: 1.073-9.583, <0.05) and depression (=9.111, 95%: 2.143-38.729, <0.01) than male patients; patients with known contact history of epidemic area and personnel in epidemic area are more likely to have depression (=3.267, 95%: 1.082-9.597, <0.05). CONCLUSIONS During the isolation treatment of suspected COVID-19 patients, early psychological intervention should be carried out for the female patients with known contact history of epidemic area and personnel in epidemic area, and drug treatment should be given in advance if necessary.
Anxiety ; diagnosis ; etiology ; therapy ; Betacoronavirus ; isolation & purification ; Coronavirus Infections ; complications ; diagnosis ; psychology ; Depression ; diagnosis ; etiology ; Female ; Humans ; Logistic Models ; Male ; Pandemics ; Pneumonia, Viral ; complications ; diagnosis ; psychology ; Risk Factors

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

OBJECTIVE: To investigate the association of genetic polymorphisms of norepinephrine metabolizing enzymes with postpartum depression and analyze the risk factors for postpartum depression in women following cesarean section. METHODS: A total of 591 Chinese woman of Han Nationality undergoing caesarean section were enrolled in this study. The diagnosis of postpartum depression was established for an Edinburgh Postnatal Depression Scale (EPDS) score ≥9. For all the women without antepartum depression, the genotypes of catechol-O-methyltransferase (COMT; at 5 sites including rs2020917 and rs737865) and monoamine oxidase A (rs6323) were determined using Sequenom Mass Array single nucleotide polymorphism (SNP) analysis. We analyzed the contribution of the genetic factors (SNPs, linkage disequilibrium and haplotype) to postpartum depression and performed logistic regression analysis to identify all the potential risk factors for postpartum depression and define the interactions between the genetic and environmental factors. RESULTS: The incidence of postpartum depression was 18.1% in this cohort. Univariate analysis suggested that COMT polymorphism at rs2020917 (TT genotype) and rs737865 (GG genotype) were significantly correlated with the occurrence of postpartum depression ( < 0.05). Logistic regression analysis showed that COMT polymorphism at rs2020917 (TT genotype) and rs737865 (GG genotype), severe stress during pregnancy, and domestic violence were the risk factors for postpartum depression ( < 0.05); no obvious interaction was found between the genetic polymorphisms and the environmental factors in the occurrence of postpartum depression. CONCLUSIONS The rs2020917TT and rs737865GG genotypes of COMT, stress in pregnancy, and domestic violence are the risk factors for postpartum depression.
Catechol O-Methyltransferase ; genetics ; Cesarean Section ; adverse effects ; Depression, Postpartum ; diagnosis ; enzymology ; genetics ; Domestic Violence ; psychology ; Female ; Gene-Environment Interaction ; Genotype ; Haplotypes ; Humans ; Linkage Disequilibrium ; Monoamine Oxidase ; genetics ; Norepinephrine ; metabolism ; Polymorphism, Single Nucleotide ; Postoperative Complications ; diagnosis ; enzymology ; genetics ; Pregnancy ; Pregnancy Complications ; etiology ; psychology ; Risk Factors ; Stress, Psychological

OBJECTIVE: Among the various psychiatric disorders, depression is a common comorbid condition in cancer patients. Due to the distinct and diverse nature of cancer, the prevalence of depression may be assumed to be affected by differences in primary cancer sites. In this study, we explored the prevalence rates of depression among the ten most prevalent cancers in South Korea using a national patient sample. METHODS: This was a 1-year cross-sectional study using a national patient sample provided by the South Korean National Health Insurance in 2011. We selected all patients who had received ICD-10 codes of the 10 most prevalent cancers and major depressive disorder. Afterwards, the cancer and depression groups were merged and analyzed. RESULTS: The MDD prevalence rate was highest in lung cancer (11.0%), followed by non-Hodgkin's lymphoma (9.2%), prostate (9.1%), bladder (8.8%), breast (7.8%), cervix (7.8%), colorectal (7.7%), stomach (6.9%), liver (6.5%), and thyroid cancer (5.6%). Within all cancer groups, patients with a MDD diagnosis were significantly older (p<0.05) than non-MDD patients. Colorectal, stomach, and thyroid cancer displayed a higher female proportion in the MDD group than the non-MDD group. In the subgroup analysis, the prevalence rate differed by age and sex. CONCLUSION: The prevalence of depression varied according to cancer types. Patients with lung cancer were the most prone to experience depression. Because clinical and psychological factors may influence MDD prevalence, these factors will need to be studied more closely in the future.
Breast ; Cervix Uteri ; Cross-Sectional Studies ; Depression* ; Depressive Disorder, Major ; Diagnosis ; Epidemiology ; Female ; Humans ; International Classification of Diseases ; Korea* ; Liver ; Lung Neoplasms ; Lymphoma, Non-Hodgkin ; National Health Programs ; Prevalence* ; Prostate ; Psychology ; Stomach ; Thyroid Neoplasms ; Urinary Bladder

BACKGROUNDPolycystic ovary syndrome (PCOS) and its characteristic symptoms have been associated with physical and psychological issues in women of reproductive age. The current study was conducted in response to the dearth of systematic research related to psychological functioning and quality of life in patients with PCOS in Southwest China, and to determine whether patients with PCOS exhibit poorer mental health (MH) compared to healthy women of the same age and living in the same region, without a PCOS diagnosis.

METHODSWe enrolled 120 outpatients with PCOS and 100 healthy controls in this study. Standardized questionnaires were administered to assess general MH conditions (General Health Questionnaire-12-item version), anxiety (State-Trait Anxiety Inventory), depression (Beck Depression Inventory), as well as health-related quality of life (HRQoL) measured using the 36-item short-form health survey. The independent samples t-test was conducted for continuous study variables. For categorical variables, the Pearson Chi-square test, Fisher's exact test, and logistic regression were performed.

RESULTSThe prevalence of anxiety (13.3% vs. 2.0%) and depression (27.5% vs. 3.0%) was higher in patients with PCOS compared to the controls (both P< 0.05). Patients with PCOS had decreased HRQoL. Patients with PCOS who had fertility requirements were more likely to be anxious and depressed than those without fertility requirements (anxiety: 22.6% [12/53] vs. 5.9% [4/67], χ2 = 7.117, P = 0.008; depression: 37.7% (20/53) vs.19.4% (13/67), χ2 = 4.988, P = 0.026).

CONCLUSIONSPCOS and related symptoms may be risk factors for depression and anxiety. Professionals should be concerned with the MH of women with PCOS, and psychological therapy should be considered.

Adult ; Anxiety ; diagnosis ; etiology ; China ; Depression ; diagnosis ; etiology ; Female ; Humans ; Mental Disorders ; diagnosis ; etiology ; Polycystic Ovary Syndrome ; complications ; physiopathology ; psychology ; Psychiatric Status Rating Scales ; Quality of Life ; Surveys and Questionnaires ; Young Adult

PURPOSE: A systematic literature review and meta-analysis were conducted to synthesis research findings on relationships of quality of life with multi-dimensional correlates in Korean breast cancer patients. METHODS: For the study purpose, 18 studies were selected through a systematic process of searching the literature. RESULTS: Among the general characteristics, variables having a significant relationship with quality of life were age (ES=.19), marital status (ES=.15), education (ES=.19), economic status (ES=.16), job status (ES=.10), and religion (ES=.13). Among the disease characteristics, type of treatment (ES=.12), length of time since diagnosis (ES=.13), stage of disease (ES=.14), length of time since operation (ES=.10), frequency of treatment (ES=.19), wound site and pain (ES=.16) were shown to have a significant relationship with quality of life. Depression (ES=-.60), one of the psychological factor, was the variable most significantly related to quality of life. CONCLUSION: The findings indicate that the variables which strongly impact quality of life in breast cancer patients are depression and pain.
Breast Neoplasms* ; Breast* ; Depression ; Diagnosis ; Education ; Humans ; Marital Status ; Psychology ; Quality of Life* ; Wounds and Injuries