Depression Status Research Articles

A network approach to investigating the inter-relationship between health-related quality of life dimensions and depression in 1735 Chinese patients with heterogeneous cancers.

We aimed to explore the inter-connection between depression and HRQOL dimensions in cancer patients using a network approach, which might provide new insights for precise interventions to improve cancer patients' overall HRQOL. Between June 1, 2016, and August 31, 2017, a total of 1735 eligible patients with heterogeneous types of cancer were recruited. The Zung Self-Rating Depression Scale (SDS) and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) were used to measure patients' depression status and HRQOL, respectively. A regularized partial correlation network was established. Central and bridge symptoms/functions were identified using expected influence and bridge expected influence. A directed acyclic graph (DAG) was used to explore the possible causal relationship between depression and HRQOL dimensions. In this study, depression and 15 dimensions of the EORTC-QLQ-C30 scale were highly inter-correlated and could be represented as a network. We found that nearly two-thirds of cancer patients experienced various degrees of depression, and depression was consistently the central symptom in the network, in addition to nausea/vomiting, pain, and physical function. DAG and bridge symptoms indicated that depression might influence overall HRQOL in cancer patients mainly through emotional function, pain, physical function, and sleeplessness, particularly in cancer patients with moderate-to-severe depression. The disparity in network structures between mild and moderate-to-severe depression suggested that the relationship between depression and HRQOL dimensions might be bidirectional. The prevalence of depression remained high in Chinese patients with cancer, and depression may influence various symptoms and functions within the HRQOL network. Screening and early treatment of depression were warranted to improve the overall HRQOL of cancer patients, in addition to adequate treatment of pain and nausea/vomiting and improvement in physical function.

Psychosocial and socioeconomic factors are most predictive of health status in patients with claudication

BackgroundAs a key treatment goal for patients with symptomatic peripheral artery disease (PAD), improving health status has also become an important end point for clinical trials and performance-based care. An understanding of patient factors associated with 1-year PAD health status is lacking in patients with PAD. MethodsThe health status of 1073 consecutive patients with symptomatic PAD in the international multicenter PORTRAIT (Patient-Centered Outcomes Related to Treatment Practices in Peripheral Arterial Disease: Investigating Trajectories) registry was measured at baseline and 1 year with the Peripheral Artery Questionnaire (PAQ). The association of 47 patient characteristics with 1-year PAQ scores was assessed using a random forest algorithm. Variables of clinical significance were retained and included in a hierarchical multivariable linear regression model predicting 1-year PAQ summary scores. ResultsThe mean age of patients was 67.7 ± 9.3 years, and 37% were female. Variables with the highest importance ranking in predicting 1-year PAQ summary score were baseline PAQ summary score, Patient Health Questionnaire-8 depression score, Generalized Anxiety Disorder-2 anxiety score, new onset symptom presentation, insurance status, current or prior diagnosis of depression, low social support, initial invasive treatment, duration of symptoms, and race. The addition of 19 clinical variables in an extended model marginally improved the explained variance in 1-year health status (from R2 0.312 to 0.335). ConclusionsPatients’ 1-year PAD-specific health status, as measured by the PAQ, can be predicted from 10 mostly psychosocial and socioeconomic patient characteristics including depression, anxiety, insurance status, social support, and symptoms. These characteristics should be validated and tested in other PAD cohorts so that this model can inform risk adjustment and prediction of PAD health status in comparative effectiveness research and performance-based care.

Association between glycaemic control and malnutrition in older adults with type 2 diabetes mellitus: a cross-sectional study.

Malnutrition is a major problem among older adults with type 2 diabetes mellitus (T2DM). Some studies suggest that well glycaemic control increases the risk of frailty due to reduced intake. Therefore, it could be hypothesised that adequate glycaemic controlled patients may be at risk of malnutrition. This study aimed to examine, in older adults with T2DM, the association between adequate glycaemic control and malnutrition as well as identify the risk factors for malnutrition. Data including general characteristics, health status, depression, functional abilities, cognition and nutrition status were analysed. Poor nutritional status is defined as participants assessed with the Mini Nutritional Assessment as being at risk of malnutrition or malnourished. Adequate glycaemic control refers to an HbA1c level that meets the target base in the American Diabetes Association 2022 guidelines with individualised criteria. There were 287 participants with a median (interquartile range) age of 64 (61-70) years, a prevalence of poor nutrition, 15 %, and adequate glycaemic control, 83·6 %. This study found no association between adequate glycaemic control and poor nutrition (P = 0·67). The factors associated with poor nutritional status were low monthly income (adjusted OR (AOR) 4·66, 95 % CI 1·28, 16·98 for income < £118 and AOR 7·80, 95 % CI 1·74, 34·89 for income £118-355), unemployment (AOR 4·23, 95 % CI 1·51, 11·85) and cognitive impairment (AOR 5·28, 95 % CI 1·56, 17·93). These findings support the notion that older adults with T2DM should be encouraged to maintain adequate glycaemic control without concern for malnutrition, especially those who have low income, unemployment or decreased cognitive functions.

Maternal prenatal lead levels and neonatal brain volumes: Testing moderations by maternal depressive symptoms and family income

There is considerable evidence that prenatal lead exposure is detrimental to child cognitive and socio-emotional development. Further evidence suggests that the effects of prenatal lead on developmental outcomes may be conditional upon exposure to social stressors, such as maternal depression and low socioeconomic status. However, no studies have examined associations between these co-occurring stressors during pregnancy and neonatal brain volumes. Leveraging a sample of 101 mother-infant dyads followed beginning in mid-pregnancy, we examined the main effects of prenatal urinary lead levels on neonatal lateralized brain volumes (left and right hippocampus, amygdala, cerebellum, frontal lobes) and total gray matter. We additionally tested for moderations between lead and depressive symptoms and between lead and family income relative to the federal poverty level (FPL) on the same neurodevelopmental outcomes. Analyses of main effects indicated that prenatal lead was significantly (ps < 0.05) associated with reduced right and left amygdala volumes (βs = −0.23- -0.20). The testing and probing of cross-product interaction terms using simple slopes indicated that the negative effect of lead on the left amygdala was conditional upon mothers having low depressive symptoms or high income relative to the FPL. We interpret the results in the context of trajectories of prenatal and postnatal brain development and susceptibility to low levels of prenatal lead in the context of other social stressors.

Depressive disorder benefits of cities: Evidence from the China

BackgroundRapid urbanization is a major trend in global population migration. There is growing debate about whether this urban-rural disparity exacerbate depression at the individual level. This study aims to investigate how urban living has a beneficial impact on individual mental health. MethodsBased on the data of 15,764 participants in the 2018 China Health and Retirement Longitudinal Study (CHARLS), we perform analysis of variance to identify the gap in depression levels between urban and rural areas. Extensive comparisons and detailed statistical analyses are carried out to demonstrate the differences in social participation between urban and rural residents. Finally, we conduct a series of mediation and moderation analyses to reveal the underlying mechanisms of depressive disorder benefits of cities. ResultsThe results indicate that those who lived in urban areas were less likely to suffer from depression (β = −1.461, 95 % CI = [−1.691, −1.235], p < 0.001). Social engagement is found to mediate the relationship between residence type (β = 0.164, 95 % CI = [0.136, 0.193], p < 0.001) and individual depression (β = −0.462, 95 % CI = [−0.587, −0.337], p < 0.001). City size plays a moderating role in the association between urban living and social engagement. LimitationsThe mechanism is conducted through cross-sectional data. Self-reported depression status is accessed in this study, which could lead to measurement error. ConclusionThis study demonstrates the beneficial effects of urban living on individual depression, and reveals the mechanism by which urbanization at different scales affects the prevalence of depression.

Association between oral frailty and lower urinary tract symptoms among middle-aged and older adults in community-dwelling individuals: a cross-sectional study.

We assessed the association between oral frailty risk and LUTS among middle-aged and older adults in a community-dwelling population. This cross-sectional study was conducted among 586 subjects aged ≥ 40years who participated in the Iwaki Health Promotion Project in Hirosaki, Japan. We used the International Prostate Symptom Score (IPSS) and the Overactive Bladder Symptom Score (OABSS) to assess LUTS. LUTS was defined as an IPSS score of 8 or higher or meeting diagnostic criteria for OAB. Oral frailty risk was defined as experiencing two or more of the following: decreased chewing ability, decreased biting force, and dry mouth sensation. Physical performance (10-m gait speed and grip strength) was used for analysis. The association between oral frailty risk and LUTS was examined using multivariate logistic regression analyses. The study included 218 men and 370 women, of whom 140 had LUTS. The mean age of this cohort was 59years. Significant differences were observed between the LUTS and non-LUTS groups, including age, hypertension, history of CVD, depressive status, sleep disturbance, and 10m gait speed. The prevalence of oral frailty risk was significantly higher in the LUTS group than in the non-LUTS group (26% vs. 11%, P < 0.001). Multivariate analysis revealed that age, male gender, and oral frailty risk (odds ratio: 2.67, 95% confidence interval: 1.57-4.51, P < 0.001) were independent factors for LUTS. Moreover, oral frailty risk was an independent factor in both participants aged < 65years and participants aged ≥ 65years. Oral frailty was independently associated with LUTS.

Efficacy of rTMS for poststroke epilepsy and its effects on patients’ cognitive function and depressive status

ObjectiveThis study aimed to investigate the efficacy of rTMS in the treatment of poststroke epilepsy and the effect of rTMS on patients’ cognitive function and depressive status.MethodsOne hundred and twenty-one poststroke epilepsy patients with mild cognitive impairment and depressive status admitted to the Department of Neurology of the Second People’s Hospital of Nanning from January 1, 2017, to April 31, 2023, were selected and divided into the rTMS treatment group (treated group) and the control group. MMSE scores and HAMD scores were recorded before and after treatment. The frequency of EEG spiky waves recorded before and after treatment within 24 h and the frequency of any clinical seizure form (the number of clinical seizures within 1 month after treatment) and changes in observed indices before and after treatment were calculated. The differences between the data of the two groups were analyzed, to further assess the efficacy of rTMS in the treatment of poststroke epilepsy and the rTMS’ effects on cognition and depression.ResultsCompared with drug treatment alone, rTMS significantly decreased clinical seizures and epileptiform discharges after stroke, especially in patients with lesions in the frontal, temporal, and parietal lobes. Compared with drug treatment alone, rTMS treatment can effectively reduce cognitive impairment and mood disorders, such as depression, especially for patients with lesions in the frontal and temporal lobes. The results of this experiment suggest that rTMS treatment does not increase adverse effects.ConclusionrTMS reduces clinical seizures while improving cognitive impairment and depression in patients with epilepsy. Therefore, we suggest that low-frequency rTMS can be used as an adjunctive treatment for patients with epilepsy and provide some ideas and references for the treatment of epilepsy with cognitive impairment and depression.

Interactions Between Depression, Alcohol Intake, and Smoking on the Risk of Acute Coronary Syndrome.

Our study hypothesizes that the interaction between depression, alcohol intake, and smoking status can significantly influence the risk of acute coronary syndrome (ACS). We aim to investigate the magnitude of the association between depression and ACS risk and explore how alcohol intake and smoking status affect this association. We used data from the Korean Genome and Epidemiology Study. The primary exposure of interest was the presence of depression, as measured using the Beck Depression Inventory score at baseline. The primary outcome was the occurrence of ACS observed in the biennial follow-up surveys. We used Cox proportional regression analysis to estimate the effect of depression on ACS incidence. We conducted interaction and joint effect analyses to explore the interactions between depression and health-related habits including alcohol intake and smoking with regard to ACS incidence. During 16 years of follow-up among 3,254 individuals, we documented 88 cases of new-onset ACS (2.2 cases per 1,000 personyears). We found no association between depression and ACS risk; furthermore, the effect of depression on ACS risk by alcohol intake and smoking status did not differ significantly. In the analysis to observe the joint effect of smoking and depression, the multivariate hazard ratios of ACS were 1.26 (95% confidence interval [CI], 0.67-2.36) for non-smoking and depression, 1.52 (95% CI, 0.83-2.82) for smoking and non-depression, and 2.79 (95% CI, 1.21-6.41) for smoking and depression compared with non-smoking and non-depression. Our study reveals the combined effect of depression and smoking on ACS risk, highlighting the potential benefits of concurrent interventions for both depression and smoking for cardiovascular health.

Relationship between depression, anxiety, stress, and health-related quality of life in adults with and without chronic diseases: A cross-sectional study.

Health-related quality of life (HRQoL) in patients with chronic diseases is an important tool to measure patient-reported health outcomes and evaluate the usefulness of treatment, management, and rehabilitation programs. Patients with chronic diseases are more likely than those without to experience psychological problems such as depression, anxiety, and stress, all of which can affect HRQoL. This study evaluated the impact of psychological problems such as depression, anxiety, and stress on HRQoL in people with and without chronic diseases in South Korea. The study's descriptive survey included 501 participants (191 with and 310 without chronic diseases). Data were collected using structured questionnaires between April and May 2021. The general characteristics, DASS-21, and HRQOL of this study were analyzed using descriptive statistics. Differences in DASS-21 and HRQoL based on general characteristics were analyzed using t tests and ANOVA. The study analyzed the factors influencing the participants' HRQoL using stepwise multiple regression analysis with SPSS Win 27.0. HRQoL was generally lower for patients with chronic diseases than for patients without. In patients with chronic diseases, the major variables affecting HRQoL were depression (β = -0.244, t = -3.582, P < .001), exercise (β = 0.201, t = 2.927, P = .004), and economic status (β = -0.150, t = -2.184, P = .030), of which depression was the most influential. These variables explained 12.5% of the variance in the regression model for total HRQoL. These results emphasize the need to explore intervention measures that can reduce depression in patients with chronic diseases and anxiety in patients without chronic diseases to improve their HRQoL. In addition, national efforts are needed to provide economic support, as economic status is an influential factor in HRQoL regardless of the presence of chronic disease. The study's limitations include the fact that neither did it consider disease severity among chronically ill patients nor did it examine all the variables affecting HRQoL.

Multilevel depression status detection based on fine-grained prompt learning

As a common psychological disorder, depression is generally detected based on scales and interviews, which are often affected by subjective or environmental factors. In order to assist in the diagnosis, automatic depression detection (ADD) is developed to provide an objective, efficient, and convenient technique based on the analysis of different psychophysiological data. Among them, text is one of the most frequently used modalities in the research field of ADD. Despite its success, several key issues still need to be addressed. Specifically, binary detection performed in the classical ADD methods cannot satisfy the demand for early detection tasks. Therefore, a more fine-grained analysis of depression status is highly needed. Moreover, due to factors such as small dataset size and improper organization of interview texts by selecting response texts only or choosing topics subjectively, insufficient learnable representations for depression detection are inevitable. To tackle these issues, we propose a multilevel depression status detection approach based on fine-grained prompt learning, called MDSD-FGPL. In our method, we design multiple sets of prompts from coarse-grained to fine-grained and therefore train the language model with features extracted from different depressive levels. We also reorganize the interview text at the question-response level and utilize the attention mechanism to capture and fuse the key features. Specifically, two model branches are constructed based on pre-trained language models for extracting comprehensive semantic features and depression-specific semantic tendencies, respectively. Our method was evaluated on the DAIC-WOZ dataset, showing satisfying performance in fine-grained depression detection. Additionally, our method achieves a state-of-the-art F1-score of 0.8276 in the coarse-grained binary classification.

Predictors of anxiety and depression in operating room nurses during the COVID-19 pandemic: A multi-center cross-sectional study.

Operating room nurses (ORNs) who directly deal with the treatment and care of COVID-19 patients during the pandemic are at risk in terms of psychological stress and other mental health problems. The aim of the study was to compare the anxiety and depression levels of ORNs working in different countries in the COVID-19 outbreak, and to determine the predictors and the difference between countries. This was a descriptive and cross-sectional study. Data were collected online using a google form between February 2021-February 2022. The universe of the research is nurses who are members of national Perioperative Nurses Association (USA, Türkiye, Australia, England, India, Israel) and 1127 ORNs participated the study. In multivariate analysis, independent predictors of anxiety and depression status were examined by binary logistic regression analysis. The rate of anxiety is 5.46 times higher in nurses in the USA, 5.07 times higher among nurses in Australia, and 4.49 times higher for nurses in England. It was determined that the rate of depression in ORNs working in Türkiye was 5.97 times higher. It was found that the rate of depression is 1.59 times higher in ORNs living away from the family after care of COVID-19 patient. Despite some differences between countries in terms of health system, patient potential, economic and the opportunities offered, generally high levels of anxiety and/or depression indicate that all ORNs need urgent support. Identifying risk factors will help recognize anxiety and depression in ORNs and take measures to protect their mental health during the pandemic.

Dose-response associations of maternal prenatal noise exposure duration with antepartum depression status

BackgroundAntepartum depression has been reported to be associated with the intensity of maternal prenatal noise exposure; however, the association between noise exposure duration and the development of antepartum depression has not been established. This study aimed to determine the total and trimester-specific association of prenatal noise exposure duration with the development of antepartum depression.MethodsFrom May 2018 to June 2021, we recruited 2,166 pregnant women from Shengjing Hospital, northeast China. We used a standardized questionnaire to assess women’s prenatal noise exposure and used the Edinburgh Postnatal Depression Scale to assess pregnant women’s antepartum depression during the 1st -, 2nd -, and 3rd - trimesters. We calculated a cumulative noise exposure score ranging from 0 to 3, with a higher score reflecting higher frequency and longer duration of noise exposure during pregnancy.ResultsWomen who were exposed to noise for ≥ 15 min per day had an increased risk of antepartum depression compared with women who were not exposed to noise during pregnancy [odds ratio (OR) = 1.83, 95%CI:1.18, 2.83]. Noise exposure in a specific trimester was associated with higher risk of depression in the same trimester and subsequent trimesters. We observed increases in antepartum depression risk with increasing cumulative noise exposure scores (P for trend < 0.05 for all). Pregnant women with the highest scores had the highest risk of antepartum depression during the first (OR = 1.30, 95%CI:1.02, 1.65), second (OR = 1.75, 95%CI:1.23, 2.50) trimesters. Women with a cumulative noise exposure score of 2 had the highest risk of antepartum depression during the third trimester (OR = 1.79, 95%CI:1.14, 2.80), as well as during the whole pregnancy (OR = 1.94, 95%CI:1.14, 3.30).ConclusionsMaternal prenatal noise exposure duration was positively associated with antepartum depression risk in a dose-response manner. It is necessary to develop strategies by which pregnant women can avoid excessive exposure to noise to prevent antepartum depression.

Depression and type 2 diabetes risk: a Mendelian randomization study.

Extensive observational evidence has suggested an association between depression and type 2 diabetes (T2D). However, the causal relationships between these two diseases require further investigation. This study aimed to evaluate the bidirectional causal effect between two types of depression and T2D using two-sample Mendelian randomization (MR). We applied two-step MR techniques, using single-nucleotide polymorphisms (SNPs) as the genetic instruments for analysis. We utilized summary data from genome-wide association studies (GWASs) for major depression (MD), depressive status (frequency of depressed mood in the last two weeks), T2D, and other known T2D risk factors such as obesity, sedentary behavior (time spent watching television), and blood pressure. The analysis utilized inverse variance weighted (IVW), MR-Egger regression, weighted median, weighted mode, MR pleiotropy residual sum, and outlier methods to determine potential causal relationships. The study found that MD was positively associated with T2D, with an odds ratio (OR) of 1.26 (95% CI: 1.10-1.43, p = 5.6×10-4) using the IVW method and an OR of 1.21 (95% CI: 1.04-1.41, p = 0.01) using the weighted median method. Depressive status was also positively associated with T2D, with an OR of 2.26 (95% CI: 1.03-4.94, p = 0.04) and an OR of 3.62 (95% CI: 1.33-9.90, p = 0.01) using the IVW and weighted median methods, respectively. No causal effects of MD and depressive status on T2D risk factors were observed, and T2D did not influence these factors. Our study demonstrates a causal relationship between depression and an increased risk of developing T2D, with both major depression and depressive status being positively associated with T2D.

Insufficient Plasma Melatonin and Its Association With Neuropsychiatric Impairments in Patients With T2DM.

Purpose: Type 2 diabetes mellitus (T2DM) is associated with multiple neuropsychiatric impairments, including cognitive dysfunction, and melatonin (MLT) plays a crucial role in maintaining normal neuropsychiatric functions. This study is aimed at investigating the change in plasma MLT levels and its association with neuropsychiatric impairments in T2DM patients. Methods: One hundred twenty-six T2DM patients were recruited, and their demographics and clinical data were collected. Apart from the plasma glycated hemoglobin (HbA1c) levels and other routine metabolic indicators, the plasma concentrations of MLT, C-reactive protein (CRP), Interleukin 6 (IL-6), soluble myeloid triggered receptor 1 (sTREM 1), and receptor 2 (sTREM 2) were measured. Moreover, the executive function and depressive tendency were evaluated via the Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) and the Epidemiological Research Center Depression Scale (CES-D), respectively. Result: Compared with the low HbA1c group, the T2DM patients in the high HbA1c group presented lower plasma MLT levels but higher plasma concentrations of inflammatory biomarker levels, together with higher scores in the BRIEF-A and CES-D scales. Moreover, results of the Pearson correlation test showed that the plasma MLT levels were negatively correlated with the BRIEF-A and CES-D scores, as well as plasma concentrations of HbA1c and inflammatory indications, indicating that MLT may mediate their neuroinflammation and neuropsychiatric impairments. Furthermore, the ROC curve results indicated that plasma MLT levels have a predictive effect on executive impairment and depressive status in T2DM patients. Conclusion: MLT levels decreased in patients with T2DM and were associated with neuropsychiatric impairments and inflammatory status, and MLT might be developed as a therapeutic agent and predictive indicator for T2DM-associated executive impairment and depression status.

Depression, Sleep Health & Sociodemographic Correlates in a Nationwide Survey: Implications for Depression Treatment During the COVID-19.

The COVID-19 pandemic has had a profound impact on mental health worldwide, with depression and sleep problems among the most common issues experienced by many individuals. Depression can lead to sleep problems, which can increase the risk of developing depressive symptoms. However, it is unclear which United States (US) sub-population was most affected by depression and sleep problems during the pandemic. We conducted a secondary analysis using self-reported data from the 2021 National Health Interview Survey (NHIS), focusing on adults aged 18 years and above (n=29,763). We utilized self-reported responses to questions about prescription medication and frequency of depressive feelings to determine participants' depression status. Appropriate weights were applied to account for the sampling design of the surveys. Our analysis involved descriptive statistics and chi-squared tests to compare sociodemographic, clinical, behavioral, and sleep-related characteristics between US adults with and without depression. Additionally, logistic regression was used to examine the associations between sleep duration, sleep quality and depression. The overall prevalence of depression in our sample was 44.4%. It were higher in certain demographic groups, including younger adults (18-39 years, 47.7%), non-Hispanic whites (47.9%), females (50.1%), those at the lower income bracket (52.2%), those with no college or degree (48.7%) uninsured individuals (45.2%), and those reporting poor general health (71.9%). Individuals with depression had a 12% increased odds of experiencing short sleep (aOR: 1.12, 95% CI:1.04-1.20, p<0.001), 34% increased odds of experiencing long sleep (aOR: 1.34, 95% CI: 1.20-1.50, p < 0.001) and more than 2.5 fold increased odds of reporting poor sleep quality (aOR:2.57, 95% CI: 2.40-2.78; p<0.0001). In the multivariate analysis, all variables (sex, race/ethnicity, education, health insurance coverage, marital status, general health status and use of sleep medications, smoking and alcohol use status) were significantly predictors of poor sleep quality, with the exceptions of age and family income. The findings emphasize the need to address sleep health in treating depression, especially during times of public health crises.

ЭПИДЕМИОЛОГИЧЕСКИЕ АСПЕКТЫ НАРУШЕНИЙ МЕНТАЛЬНОГО ЗДОРОВЬЯ – ОТ ПРЕДИКТОРОВ К СЛЕДСТВИЮ

Introduction. Due to the high social significance of mental health disorders, the study of the spread and degree of influence of modifiable predictors of depressive psychoemotional status can contribute to the development of new approaches to active prevention. The purpose of the study. To study the epidemiological characteristics of mental health disorders and identify key predictors among students. Methods. To conduct the study, epidemiological diagnostic methods were used, such as: retrospective epidemiological analysis, descriptive and evaluative methods, as well as statistical methods, methods of epidemiological diagnostics using methods of clinical epidemiology and statistical analysis were used. Results. There was a moderate long-term epidemic trend towards an increase in the incidence of mental disorders (an increase rate of 3.68%) and a high long-term average (164.44+1.72о/оооо). The risk area is determined on the basis of the characteristic pronounced tendency to growth and an increased level of relative epidemiological risk: Minsk region, Minsk, Vitebsk and Mogilev regions (Tpr = 6.56%, 9.99%, 15.21%, and 15.57%, respectively. Consequently, the risks were: in Minsk – 0.77, in Vitebsk and Mogilev regions – 0.78 and 0.86, respectively). The result of our own original research was the identification of a depressive state in 59.25% of cases and generalized anxiety disorder – in 64.1% of cases. An aggravating circumstance is the fact of comorbidity in more than 80% of cases. When studying the epidemiological characteristics of these disorders, significant predictors were identified that increased the chance of developing a state by 2.5-11.5 times. Conclusion. The high levels of prevalence and comorbidity of depressive psychoemotional status and anxiety disorder characterize the general epidemiological situation within the mental health of students as unfavorable and require the development of preventive measures.

Physical activity, anxiety, depression, and coping in Turkish men and women during the first wave of COVID-19.

A need exists to better understand the relationships between COVID-19, coping behaviors, physical activity and stress, and COVID-19's impact on way of life. A cross-sectional study design was used to examine adult physical activity, hope, depression, anxiety, and coping status by gender during the COVID-19 pandemic, and to determine the impact of these variables on the coping process. The study also examined the effect of gender on the relation between physical activity and dependent variables. A global survey instrument was used in this study, including 1,400 Turkish adults. This study identified significant gender-based differences regarding physical activity, hope, depression, anxiety, and coping status of adults, although no significant gender-based difference was found regarding hope scores. Furthermore, physical activity directly influenced coping (β = 0.10), hope (β = 0.12), and anxiety (β = -0.08). Hope directly and positively influenced coping (β = 0.45) and directly and negatively influenced anxiety (β = -0.25) and depression (β = -0.28). Moreover, gender did not directly affect physical activity, but it was associated with decreased coping and increased depression and anxiety. Finally, gender had no effect on the relation between physical activity and hope, coping, depression, and anxiety (p > 0.01). These outcomes support the critical importance of physical activity and hope when coping with COVID-19 regardless of gender.

Influence of intergenerational support on the mental health of older people in China.

Today, population aging is the main trend of population development. Home-based care is mainly adopted in Chinese society, and scholars have paid ample attention to the effect of intergenerational support on the mental health of older people. However, research conclusions differ. This study uses data from the 2018 China Health and Pension Tracking Survey (CHARLS), which we analyzed with STATA software to construct least squares regression and two-stage least squares regression models. The regression model included 6,647 respondents to investigate the mental health status of older people based on depression status. Intergenerational support was defined as economic support, emotional support, and daily care provided by the children of older people. We studied the impact of three aspects of intergenerational support on the mental health of the elderly. We performed a robustness test using the variable replacement and propensity score matching methods, and analyzed age, gender, and urban-rural heterogeneity. The results showed that economic support had no significant impact on the mental health of older people, while emotional support and daily care had a positive effect. The heterogeneity results indicated that the relationship between intergenerational support and mental health of older people differed significantly based on age, gender, and urban and rural areas. Therefore, children should raise their awareness of supporting their parents, pay attention to their parents' mental health, and provide emotional support and daily care. Furthermore, community work improves family relations, creates a good social environment, and encourages young people to respect and be filial to older people. The government should improve the medical security system and old-age service system, and provide policy support to help the mental health of older people.

Accelerometer-measured physical activity and posture among older adults in assisted-living residences.

Few studies have detailed the physical activity and postural patterns (e.g. lying or sitting) in older adults with declining activities of daily living (ADL). Therefore, we aimed to address this issue by quantifying physical activity using an accelerometer and measuring time spent in various postures among older adults in assisted-living residences. We quantified physical activity using an accelerometer (ActivPAL) and measured time spent in various postures in 35 older adults (mean age: 89.1 years) with chronic conditions residing in two assisted-living residences in Japan. ActivPAL was attached to the thigh and trunk of patients to distinguish between sitting and lying postures. Participants had a mean count of 6.2 comorbidities, and they were divided into three groups (fully independent, requiring minimal assistance and requiring care) based on their activities of daily living capacity using the Barthel Index. Residents aged ⩾90 years walked a mean of 1109.1 steps and spent 167.3 min upright per day. Fully independent participants walked a mean of 3587.6 steps daily; those requiring minimal assistance walked 1681.0 steps daily; and those requiring care walked 428.9 steps daily. Our findings indicated that step count, number of sit-to-stand transitions, stepping time, and upright time decreased significantly as activities of daily living capacity decreased. Comorbidity type and number of comorbidities were not related to their lying time except for depression status. Lying time was associated with depression status.

Investigation on the Attitude of Middle School Students with Depression in the City Toward Professional Psychological Help-Seeking.

Many middle school students are depressed due to pressure from family, study, life, and communication. With the increasing depression of middle school students, professional psychological counseling institutions have also become more numerous. Therefore, students need to be guided to correctly recognize difficulties and seek professional psychological assistance. We aimed to investigate the depression status of middle school students in the city and analyze their attitude towards professional psychological help-seeking. A total of 2485 students from two classes of each grade from six middle schools in the city were randomly selected as the research objects. They were subjected to answer the general questionnaire and professional psychological help-seeking attitude questionnaire to analyze their depression status, psychological help-seeking status, and attitude towards professional psychological help-seeking. 2485 questionnaires were distributed, and 2205 valid questionnaires were returned. A total of 791 (35.9%) of students had depressive symptoms. The detection rate and depression scores in girls were significantly higher than in boys, and the detection rate in junior high school students in the city was notably higher than in high school students and students from rural areas (P<0.05). Only 31 (3.9%) middle school students with depressive symptoms have sought professional psychological help. The scores of self-cognition, stigma tolerance, interpersonal openness, and trust scores of middle school students with depressive symptoms in help-seeking attitude were significantly lower than those of normal students, while self-stigma scores were significantly higher in those with depressive symptoms (P<0.001). Middle school students in the city with depression have a poor attitude towards professional psychological help-seeking. Educators should positively and correctly guide depressed middle school students to seek professional psychological assistance when they need help.