Different Degrees Of Depression Research Articles

The relationship between quality of life and some mental problems in women with gestational diabetes mellitus (GDM): a cross-sectional study

BackgroundWomen with medical problems during pregnancy, including women with Gestational Diabetes Mellitus (GDM), experience an increased prevalence of mental health disorders which can affect their quality of life. This study aimed to assess the relationship between GDM-related quality of life and depression, anxiety, and stress.MethodsThis analytical cross-sectional study was performed on 150 women with GDM. The participants were selected using a multi-stage sampling including quota and then randomized method from maternal care centers affiliated with Shahid Beheshti University of Medical Sciences, Tehran-Iran. The data were collected using a personal information questionnaire, the GDM-related quality of life questionnaire (GDMQoL-36), and the depression, anxiety, and stress scale (DASS). The data were analyzed using SPSS-23 software and statistical tests of coefficient Spearman’s correlation, t-test, analysis of variance, and multiple linear regression.ResultsThe mean ± SD score for the GDM-related quality of life and the DASS scale were 55.51 ± 8.87 and 27.12 ± 19.43%, respectively. Different degrees of depression, anxiety, and stress were present in 40, 61.3, and 42% of women, respectively. The total score of GDM-related quality of life had a significant negative correlation with the total score of DASS and the scores of the subscales including depression, anxiety, and stress (P < 0.001). There were significant correlations between the total score of GDM-related quality of life with age, BMI, length of marriage, educational level of the woman and her spouse, the occupation of the woman and her spouse, income, and economic class of the family. Multiple linear regression revealed that depression, education, and job are predictive factors for GDM-related quality of life.ConclusionGDM-related quality of life is related to some mental disorders. Therefore, it is important to consider the mental health promotion of pregnant women with GDM in future prenatal health programs to improve their quality of life. This also shows the importance of integrating mental health promotion strategies to enhance the quality of life of pregnant women with GDM.

How Mental Health Correlates with Subjective Oral Health Status: A Cross-Sectional Study among a Group of University Students.

This cross-sectional study aimed to assess the association between subjective oral health status and mental illness in a group of university students in Riyadh City of Saudi Arabia. A self-report questionnaire collected data on demographics, subjective oral health and mental health. The Arabic version of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) scales were administered. Students' participation was voluntary. Data were analysed using the Statistical Package for Social Sciences (SPSS). A total of 614 students participated in the study, 45.28% (n = 278) were males and 54.72% (n = 336) were females. Oral health status was assessed, and most participants rated their oral health status as good 53.75% (n = 330). This study also assessed mental health among the participants and found that 50.49% (n = 310) of students were suffering from different degrees of depression. Approximately, 46.74% (n = 247) of students reported experiencing certain degrees of generalized anxiety disorder. Mental disorders were significantly correlated with subjective oral health status, since participants who rated their oral health as poor or very poor tended to have higher PHQ-9 and GAD-7 scores. In conclusion, the findings showed a notable relationship between mental disorders and subjective oral health status among a group of university students. Therefore, the results can be used to help improve service provision, which would ultimately enhance students' mental health.

Detecting depression and its severity based on social media digital cues

PurposeAs convenience and anonymity, people with mental illness are increasingly willing to communicate and share information through social media platforms to receive emotional and spiritual support. The purpose of this paper is to identify the degree of depression based on people's behavioral patterns and discussion content on the Internet.Design/methodology/approachBased on the previous studies on depression, the severity of depression is divided into four categories: no significant depressive symptoms, mild MDD, moderate MDD and severe MDD, and defined each of them. Next, in order to automatically identify the severity, the authors proposed social media digital cues to identify the severity of depression, which include textual lexical features, depressive language features and social behavioral features. Finally, the authors evaluate a system that is developed based on social media digital cues in the experiment using social media data.FindingsThe social media digital cues including textual lexical features, depressive language features and social behavioral features (F1, F2 and F3) is the relatively best one to classify four different levels of depression.Originality/valueThis paper innovatively proposes a social media data-based framework (SMDF) to identify and predict different degrees of depression through social media digital cues and evaluates the accuracy of the detection through social media data, providing useful attempts for the identification and intervention of depression.

Depression level, nutritional status, and dietary nutrient intake of the older adult at the community level in a selected area of Bangladesh

Malnutrition is associated with higher rates of morbidity and death in the older population. Depression or mental health is a major component of older adult malnutrition. The aim of the study was to measure the level of malnutrition and depression in older adults, as well as their correlated factors, such as dietary energy and nutrient consumption. A cross-sectional study was conducted among 108 older individuals living in two areas of Faridpur, Bangladesh. The Mini Nutritional Assessment-Short Form (MNA-SF), Geriatric Depression (GD) Scale, and 24-h dietary recall were used to measure the nutritional status, depression level, and dietary nutrients, respectively. A total of 20.4% and 55.6% were malnourished or at risk of malnutrition, respectively. Around 81.5% of the study subjects exhibited a different degree of depression and 9.3% were identified as having severe depression. There was a significant inverse association between the MNA-SF score and the GD score (r = −0.684, p=<0.001). The average energy and protein consumption was 1387 kcal and 45.52 g, respectively; and energy and protein intake were significantly lower in the depressed group (1353 Kcal, 43.8 g) than in the non-depressed group (1530 Kcal, 52.4 g). An extremely low energy consumption (<20 kcal/kg body weight/day) was noted in 27.1% of the older adults. None of the participants in this study were able to meet the requirements for dietary fiber, calcium, vitamin B6, folate, vitamin D, and vitamin E. Specific nutrition-related intervention programs as well as social and familial support are recommended to improve the nutritional status of older adults.

Mom’s Good Mood: screening and management of perinatal depression within primary healthcare system in China–protocol for an effectiveness–implementation design study

IntroductionThe management of perinatal depression (PND) is challenging in China. The Thinking Healthy Programme (THP), developed under the core theory of cognitive–behavioural therapy, is an evidence-based approach that is recommended...

RECOGNITION AND CLASSIFICATION OF DEPRESSION UNDER DEEP NEURAL NETWORK AND REHABILITATION EFFECT OF MUSIC THERAPY

This study was aimed at the application of a deep graph convolutional neural network (GCNN) in cerebral magnetic resonance imaging (MRI) analysis of patients with depression and the effect of Western medicine combined with music therapy in the treatment of depression. A total of 120 patients with different degrees of depression were divided into the test group with 60 cases (western medicine+music therapy) and the control group with the other 60 cases (western medicine only). All these patients underwent MRI scanning. On the basis of the deep GCNN, an optimized algorithm (O-GCNN) for depression recognition was proposed. It was found that the accuracy, sensitivity, and specificity for classification of the O-GCNN algorithm were significantly higher than those of the convolutional neural network (CNN) model, the back propagation (BP) algorithm, and the forward propagation (FP) algorithm ([Formula: see text]). The scores of somatization, interpersonal sensitivity, depression, psychoticism, and anxiety of the test group were significantly lower than those of the control group during and after treatment ([Formula: see text]). The scores of the Self-rating Depression Scale (SDS) and Hamilton depression scale (HAMD) of patients in the test group were also significantly lower than those in the control group during and after treatment; the differences were statistically significant ([Formula: see text]). The values of left hippocampal regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuation (fALFF) of patients in the test group were significantly lower than those in the control group during and after treatment ([Formula: see text]). The 24-h urinary free cortisol (UFC) content in the test group was remarkably lower during and after treatment, and the difference was statistically significant ([Formula: see text]). The results showed that the improved depression recognition algorithm O-GCNN proposed in this work had a high application value in the auxiliary diagnosis of depression. Music therapy combined with Western medicine treatment can more effectively improve the anxiety and negative mental state of patients with depression and promote the improvement of patients’ conditions.

Optimization of Ideological and Political Education Courses for College Students and Strategies for Mental Health Education.

Most college students are still in the growth stage in the complex network environment. Therefore, it is necessary to consider measures for ideological education and psychological training. Firstly, by citing literature, this work explains the current network environment college students face and the adverse effects on their psychology. Secondly, the relationship between the ideological education work of college students and the network environment is expounded. Finally, the sampling survey method is adopted to analyze the use of the internet, information contact behavior, and the psychological status of college students at the present stage. The results showed that: (1) those with a college degree or above accounted for 47.1%. The data show that college students are at the forefront of internet use. They bear more social responsibilities than other groups. (2) About 90% of people have different degrees of depression and anxiety. The data show that psychological training and ideological and political education (IPE) for college students is necessary. This paper aims to sum up the obstacles existing in IPE and psychological training through the influence of network environment and bad information on IPE of college students. Based on the survey results, this paper can find a solution to create a good IPE environment for college students.

Positive attributes in elderly people with different degrees of depression: a study based on network analysis

IntroductionDepression in aging may lead to loss of autonomy and worsening of comorbidities. Understanding how positive attributes contribute to healthier and happier aging has been one of the purposes of Positive Psychology. However, the literature still lacks studies that evaluate how depression in the elderly is related to constructs considered positive.ObjectiveThe present study aimed comparing scores of constructs of spiritual well-being, social support, self-esteem, life satisfaction, affection, optimism, and hope in the elderly with minimal, mild, moderate, and severe depression and healthy controls in order to investigate possible indirect and mediated relationships between positive constructs and depression.MethodsA cross-sectional study was conducted with elderly, 62 of whom were diagnosed with different severity of Major Depression (DSM-V) (minimum, mild, moderate, and severe according to the Beck Depression Inventory — BDI) and 66 healthy controls matched by age, sex and schooling. The instruments used were adapted and validated versions of the Spirituality Self-Rating Scale, the Rosenberg Self-Esteem Scale, the Medical Outcomes Social Scale of Support, the Life Satisfaction Scale, the Positive and Negative Affect Schedule, the Revised Life Orientation Test, and the Adult Dispositional Hope Scale. After comparing the means of scores between groups, an analysis of normalized partial association networks was performed to investigate the direct and mediated relationships between depression and other evaluated constructs.ResultsScores of spiritual well-being, social support, self-esteem, life satisfaction, positive affect, optimism, negative affects, and hope differed significantly between the control group and the degrees of depression (p < 0.001). The analysis of normalized partial association networks has shown that the relations of depression with the constructs of life satisfaction, self-esteem, and social support are mediated, while the constructs of dispositional hope, positive affect, spiritual well-being, and optimism are indirectly related to depression. The social class was also positively related to depression.ConclusionDepression in different degrees is associated with a reduction in the scores of instruments that evaluate positive attributes. The constructs directly associated with depression are spiritual well-being, optimism, positive affect, and dispositional hope. The others had mediated relationship. These results may contribute to the planning of future interventions for the prevention of depression among the elderly.

DepressIon AmoNg CardiovaScular Disease Patients in Libya-PrEvalenCe and AssociaTions: INSPECT Study.

This study sought to assess the prevalence and identify factors associated with depression among patients with cardiovascular diseases and followed-up in a public teaching hospital. A cross-sectional study was conducted with a systematic random sample of 302 out-patients with cardiovascular diseases and followed-up in the cardiology outpatient department at Tripoli University Hospital. Stable adults (>18 years of age) were eligible to be included in this study. Face-to-face interviews were conducted to complete a questionnaire comprising questions on demographic, medical, and lifestyle issues besides the Patient Health Questionnaire-9 tool. Statistical Package for the Social Sciences, Version 22, was used to analyze the data. Age ranged between 29 and 84 years with a mean age of 60.6 ± 10.4 years; 60.6% were females and 75.8% were married. The highest prevalent morbidity was hypertension (76.2%) followed by diabetes mellitus (48%), ischemic heart disease (39%), and different types of arrhythmias (22.8%). About 59.3% of screened patients had different degrees of depression from mild to severe. The participants with a positive history of psychological problems, those complicated with cardiomyopathy, those who were females, patients with a history of cerebrovascular accident, and patients who were living alone were more likely to be depressed. Prevalence of depression is found to be higher among patients with cardiovascular diseases and a family history of psychological illnesses, and cardiomyopathy had the highest contribution as independent predictor for depression. Screening of all patients with cardiovas-cular diseases is essential to identify and treat the patients at greater risk of depression.

Mental Health and Safety Assessment Methods of Bus Drivers

To explore the influence of the health psychology characteristics of bus driver on the probability of traffic accidents, such as the severity of unhealthy psychology and negative and impulsive personality. Combined with the demographic questionnaire, SCL-90 scale, and Y-G scale, the psychological factors of drivers causing traffic accidents were evaluated. The key factors selected by binary logistic regression analysis are used as node variables, and the Bayesian network structure was established by combining the K2 algorithm and expert knowledge. The EM algorithm was used for parameter learning. The work identified seven key factors that made bus drivers prone to accidents. The most likely factors were moderate depression, mild anxiety, and mild somatization. Bus drivers in the accident group were significantly more anxious, depressed, and more hypersensitive and emotionally unstable than drivers in the non-accident group. The psychological scale and a Bayesian network model were used to evaluate the mental health and traffic safety of bus drivers. It shows that different degrees of depression, anxiety, and different degrees of subjective and cyclical personality of bus drivers had different effects on traffic safety.

Liver mitochondria-associated endoplasmic reticulum membrane proteomics for studying the effects of ZiBuPiYin recipe on Zucker diabetic fatty rats after chronic psychological stress.

Type 2 diabetes mellitus (T2DM) is a complex metabolic disease with multiple etiologies, involving both genetic and environmental factors. With changes associated with modern life, increasing attention has been paid to chronic psychological stressors such as work stress. Chronic psychological stress can induce or aggravate diabetes mellitus, and conversely, with the deterioration of T2DM, patients often experience different degrees of depression, anxiety, and other negative emotions. In order to clarify the role of ZiBuPiYin recipe (ZBPYR) in regulating the liver mitochondria-associated endoplasmic reticulum membrane proteome to improve T2DM with chronic psychological stress, differentially expressed proteins (DEPs) were identified among Zucker lean littermates (control group), chronic psychological stress T2DM rats (model group), and ZBPYR administration rats (ZBPYR group) through iTRAQ with LC-MS/MS. Using Mfuzz soft clustering analysis, DEPs were divided into six different clusters. Clusters 1-6 contained 5, 68, 44, 57, 28, and 32 DEPs, respectively. Given that ZBPYR can alleviate T2DM symptoms and affect exploratory behavior during T2DM with chronic psychological stress, we focused on the clusters with opposite expression trends between model:control and ZBPYR:model groups. We screened out the DEPs in clusters 1, 3, and 4, which may be good candidates for the prevention and treatment of T2DM with chronic psychological stress, and further conducted bioinformatics analyses. DEPs were mainly involved in the insulin signaling pathway, oxidative phosphorylation, tricarboxylic acid cycle, amino acid metabolism, lysosome-related processes, and lipid metabolism. This may indicate the pathogenic basis of T2DM with chronic psychological stress and the potential therapeutic mechanism of ZBPYR. In addition, two key proteins, lysosome-associated protein (Lamp2) and tricarboxylic acid cycle-related protein (Suclg1), may represent novel biomarkers for T2DM with chronic psychological stress and drug targets of ZBPYR. Western blot analyses also showed similar expression patterns of these two proteins in liver MAMs of the model and ZBPYR groups.

Resting-state brain network in Parkinson's disease with different degrees of depression.

ObjectiveThe aim of this study is to explore the neural network mechanism of Parkinson’s disease (PD) with different degrees of depression using independent component analysis (ICA) of the functional connectivity changes in the forehead, limbic system, and basal ganglia regions.MethodsA total of 106 patients with PD were divided into three groups: PD with moderate-severe depression (PDMSD, n = 42), PD with mild depression (PDMD, n = 29), and PD without depression (PDND, n = 35). Fifty gender- and age-matched healthy subjects were recruited as a control group (HC). Three-dimensional T1-weighted image and resting-state functional magnetic resonance imaging (RS-fMRI) data were collected.ResultsDifferent functional connectivity was observed in the left precentral gyrus, right precuneus, right inferior frontal gyrus, right medial and paracingulate gyrus, left supplementary motor area, right brain insula, and the inferior frontal gyrus of the left orbit among the four groups (ANOVA, P < 0.05, Voxel size > 5). Both PDMD and PDMSD exhibited increased functional connectivity in the superior-posterior default-mode network (spDMN) and left frontoparietal network (LFPN); they also exhibited a decreased functional connectivity in the interior Salience Network (inSN) when compared with the PDND group. The functional connectivity within the inSN network was decreased in the PDMSD group when compared with the PDMD group (Alphasim correction, P < 0.05, voxel size > 5).ConclusionPD with different degrees of depression has abnormal functional connectivity in multiple networks, which is an important neurobiological basis for the occurrence and development of depression in PD. The degree of decreased functional connectivity in the inSN network is related to the degree of depression in patients with PD-D, which can be an imaging marker for PD to judge the severity of depression.

Effect of Self-Care Education on Sleep Quality and Psychological Disorders in Post-Discharged Patients with COVID-19

Background and Objective: The coronavirus disease 2019 (COVID-19) affects the physiologic and psychological systems of humans and can lead to different degrees of depression, stress, anxiety, and insomnia. This study aimed to evaluate the effect of self-care education on sleep quality and psychological disorders in patients with COVID-19 following discharge.&#x0D; Materials and Methods: This study was performed on 50 patients with COVID-19, who were educated via telephone. The average time for each interview and education was 20-40 minutes. The education included effective ways to reduce stress, anxiety, and depression as well as sleep hygiene. Data collection tools included three sections: demographic information, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and Depression, Anxiety, and Stress Scale (DASS). These questionnaires were completed by three nurses once 2-3 days after discharge and again one month later by telephone. Data were analyzed using SPSS software.&#x0D; Results: 69% of patients were men with a mean age of 59 years old. Significant difference was observed in each of the subscales of depression, anxiety, and stress, and their total mean (P &lt; 0.0500), in addition, a significant difference was observed in sleep quality of patients with COVID-19 (P &lt; 0.0500) between 2-3 days after discharge and 1 month later after education.&#x0D; Conclusion: People with COVID-19 had less sleep quality and higher levels of depression, anxiety, and stress. The self-care education regarding sleep hygiene and ways to deal with stress to improve these factors had a significant impact and led to a significant level.

Investigation and Analysis of the Psychological Status of Medical Staff during the COVID-19

Objectives: To investigate the psychological state of front-line medical staff during the prevention and control of COVID-19, in order to provide effective psychological support and social intervention, and to provide reference ideas. Methods The research method was a cross-sectional research method. The convenience sampling method was adopted to select 156 first-line medical staff during the prevention and control period of the COVID-19. The online survey scale developed by the "Questionnaire Star" was used to investigate the psychological state of the first-line medical staff. Results There were significant differences in the overall status of depression, anxiety, and stress among front-line medical staff in terms of gender, education level, professional title status, children’s status, and working years (P&lt;0.05); among the five dimensions of mental state, the fear and worry dimension scored the highest. The overall confidence dimension score was the lowest (P&lt;0.05). According to Pearson correlation analysis, the overall confidence of front-line medical staff is related to the dimensions of fear and worry, hospital support, and psychological support (P&lt;0.05); while fear and worry are mainly related to hospital support and psychological support (P&lt;0.05). Front-line medical staff all have different degrees of depression and anxiety. The incidence of depression is 71.15%, and the incidence of depression is 30.77%. The incidence of anxiety is 74.36%, and the incidence of anxiety is 58.97%. Conclusion During the prevention and control of COVID-19, the psychological conditions of front-line medical staff are worrying. Therefore, it is advisable to formulate corresponding management and intervention measures to help medical staff survive the psychological crisis and ensure the smooth progress of the prevention and control of the new crown pneumonia epidemic.

Incidence and Risk Factors of Post-Operative Depression in Patients Undergoing Transurethral Resection of Prostate for Benign Prostatic Hyperplasia.

BackgroundBenign prostatic hyperplasia (BPH) is a frequent-occurring disease in middle-aged and elderly men. This work is a prospective study and aims at exploring the incidence of post-operative depression and the potential risk factors of depression in a cohort of patients with BPH in China.MethodsIn this survey, 611 men who underwent transurethral resection of the prostate (TURP) were strictly selected at our institution from January 2016 to August 2019. Zung Self-rating Depression Scale was used for evaluation of depressive symptoms. Sociodemographic, clinical and other data were also collected.ResultsWe found that 152/611 (24.9%) patients suffered from different degree of depression at 6 months after TURP, including mild symptoms (20.9%) and moderate/severe symptoms (3.9%). A total of 421 (68.9%) patients developed post-TURP erectile dysfunction (ED). The occurrence of depression was closely associated with marital status, education level, cigarette smoking, alcohol consumption, severity of lower urinary tract symptoms (LUTS), duration of BPH, erectile function, and comorbidities (such as diabetes, dyslipidaemia and bladder stone). The risk factors related to the severity of depression included widowed or single marital status, frequent alcohol consumption, moderate or severe LUTS, longer duration (> 5 years) of BPH, ED, urinary continence, and comorbidities such as diabetes and bladder stone.ConclusionMany risk factors are related to the occurrence of depression in patients undergoing TURP. Widowed or single marital status, frequent alcohol consumption, moderate or severe LUTS, longer duration of BPH, ED, urinary incontinence and comorbidities such as diabetes and bladder stone are connected with the increase odds of moderate or severe depressive symptom.

Prevalence of Depression Among Patients With Type 2 Diabetes at King Abdullah Medical City.

IntroductionDiabetes is one of the most common endocrine diseases worldwide. Type 2 diabetes and depression are commonly comorbid, high-prevalence, chronic disorders. Individuals with diabetes mellitus may have concurrent mental health disorders and are shown to have poorer disease outcomes. However, the evidence for clinical correlation is still unclear.ObjectivesTo find the prevalence of depression among patients with type 2 diabetes at King Abdullah Medical City (KAMC).Materials and methodsA cross-sectional observational study was conducted at KAMC in Makkah, the Kingdom of Saudi Arabia. Study participants were 267 people with type 2 diabetes (aged between 18-70 years). Those who had preexisting depression or drank alcohol, pregnant women, and postpartum women were excluded from the study. Participants’ clinical and demographic data and depression assessment were obtained on phone through an interview and using the Arabic version of the Patient Health Questionnaire-9 (PHQ-9), respectively. Glycated hemoglobin (HbA1c) test results of participants were collected electronically.ResultsThe participants’ mean age was 57.88 ± 8.71 years, and 64.4% were males. Only 15.4% were current smokers and 16.9% were ex-smokers. The most common medical condition was hypertension (65.2%) and the majority (92.1%) had uncontrolled HbA1c with a mean value of 8.37 ± 1.92. Among the studied patients, 73% suffered from different degrees of depression; 36%, 19.9%, 8.6%, 5.2%, and 3.4% of the participants were suffering from minimal, mild, moderate, moderately severe, and severe depression, respectively. Only neuropathy was a significant risk factor of depression (odds ratio=2.87, 95% confidence interval=1.18-6.97, p=0.02).ConclusionDepressive symptoms are common in patients with uncontrolled type 2 diabetes who also suffer from neuropathy and retinopathy. Hypertension, cardiovascular diseases, and unhealthy diet had a significant correlation with depression.

The healing effects of facial BOTOX injection on symptoms of depression alongside its effects on beauty preservation.

Beauty is closely associated with a sense of calm, confidence, and hope for a better life. Therefore, it is expected that improving the appearance or even correcting one's view of appearance can prevent depression and even improve different degrees of depression in individuals. Investigation of whether using botulinum injections (a common method of improving facial esthetics) can improve the degree of depression in clients. This prospective interventional before-after study was conducted on 121 consecutive individuals referred for beautifying the face. Before performing the interventional procedure by facial botulinum injection as well as one month later, the depression status was examined by the Beck Depression Inventory II (BDI) questionnaire. The mean baseline depression score dropped from 18.9±4.8 to 10.6±2.9 during the follow-up time (P<.001). Using the multivariable linear regression modeling and with the presence of baseline parameters, the main determinants of improving depression score included young ages (beta = -0.541, P=.001), higher educational level (beta=0.595, P=.015), and previous experiences of botulinum toxin use (beta=1.072, P=.036). The improvement in people's moods along with correction of their facial defects following botulinum toxin injections would be expected.

University students under lockdown, the psychosocial effects and coping strategies during COVID-19 pandemic: A cross sectional study in Egypt

Objective This study aimed to assess the psychosocial effects and coping strategies of university students during COVID-19 pandemic. Methods: Between 30 May and 6 June 2020, an online cross-sectional survey was fulfilled by 612 university students. The University of California Los Angeles (UCLA) Loneliness Scale, version 3, the Depression Anxiety Stress Scale (DASS-21), and the Brief COPE scale were used. Results: Different degrees of depression, anxiety, and stress were reported by 74.5%, 47.1%, and 40.5% of the surveyed students, respectively. Dysfunctional coping strategies including venting, denial, and substance use had the lowest scores on Brief COPE while problem-focused coping strategies including planning and active coping strategies had the highest scores on Brief COPE. Conclusion: Undergraduate university students are very prone to experience psychosocial problems during the current pandemic. Educational institutions should work together with the authorities to promote measures to improve mental health and academic performance of their students.

The relationship between socioeconomic status and depression among the older adults: The mediating role of health promoting lifestyle

BackgroundDepression is the most frequent psychiatric disorder among the older adults, the purpose of this study is to explore the mediation effect of health promoting lifestyle on the relationship between Socioeconomic Status (SES) and depression, so as to provide practical reference for effectively preventing and alleviating depression of the older adults. MethodsA multi-stage random sampling method was conducted in Shanxi Province. A total 8526 older adults were included in the analysis. Regression analysis was used to explore the relationship between the socioeconomic status, health promoting lifestyle and depression, and the mediation effect test process was used to verify the mediating mechanism of health promoting lifestyle on this relationship. Results62.1% of the older adults had depression symptoms in this study, and there were significant differences in depression scores among the older adults with gender, age, residence, marital status, endowment pattern, self-care ability, exercise frequency, physical examination frequency, daily diet rules(P<0.05). The results of mediating effect analysis showed that health promoting lifestyle as mediation effect between social economic status and depression was established, and the mediating effect was accounted for (a*b/c) 63.1%. LimitationsGiven the cross-sectional study, it is not possible to make causal inferences. ConclusionsThere were different degrees of depression in the older adults. The lower the SES is, the higher the risk of depression is. This result once again confirms the social causation theory. Combined with the theory of health risk behavior, the study further confirmed the applicability of lifestyle mechanism in the intermediate mechanism of the relationship between SES and depression in the elderly. Thus, in addition to providing material support and financial assistance, helping the elderly develop a healthy lifestyle is also effective measure to improve their depression.

Subacute Ruminal Acidosis in Zebu Cattle: Clinical and Behavioral Aspects

Simple SummaryCattle that are fed high levels of concentrates may develop short-term rumen acidity that may occur frequently leading to necrosis of the rumen wall and reduced nutrient absorption, thereby decreasing animal productivity. This condition is known as subacute acidosis. Here, we evaluated an experimental model to induce such a condition in Nelore cattle, a Zebu breed widely used in Brazil, and assessed several clinical and feeding behavioral patterns of affected animals to better understand the disease pathogenesis and clinical outcomes. Subacute acidosis led to a reduction in food consumption and rumination time, and an increase was observed in the time spent in decubitus. Additionally, subacute acidosis caused different degrees of depression that was more pronounced with higher ruminal lactic acid concentrations.We evaluated the clinical aspects and feeding behavior of cattle with subacute ruminal acidosis (SARA) caused by short-chain fatty acids (SCFAs). Ten healthy Nelore heifers were subjected to an adjusted SARA induction protocol using citrus pulp (CP). Clinical examinations were performed at baseline and at 3, 6, 9, 12, 15, 18, and 24 h intervals after induction, with ruminal fluid, blood, and feces sampling. The animals’ feeding behavior was evaluated on, before, and for 3 days after SARA by observing the animals every 5 min for 24 h. The dry matter intake (DMI) was recorded daily. The ruminal pH during SARA was always lower than baseline, with an acidotic duration of 547 ± 215 min, a minimum pH of 5.38 ± 0.16, and an average pH of 5.62 ± 0.1. SARA was mainly caused by SCFAs (maximum 118.4 ± 9.3 mmol/L), with the production of l-lactic acids (7.17 mmol/L) and d-lactic acids (0.56 mmol/L) 6 h after the experiment began. The DMI was reduced by 66% and 48% on days 1 and 2, respectively, and returned to normal levels on day 3. SARA caused a reduction in feed intake and rumination time, as well as an increase in the time spent in decubitus on days 1 and 2. These results were influenced by the ruminal pH, ruminal movement, and osmolarity. Furthermore, SARA caused different degrees of depression, which became more pronounced with higher ruminal lactic acid concentrations.