Characterizing Depression Issues on Sina Weibo

Prevalence of depression and depressive symptoms in women with previous miscarriages or stillbirths – A systematic review

ObjectivesDepression and depressive symptoms are common mental disorders that have a considerable effect on patients’ health-related quality of life and satisfaction with medical care, but the prevalence of these conditions...

Community-based mental health studies have revealed that the point prevalence of depressive disorders in the elderly population of the world varies between 10% and 20%, depending on cultural situations. A retrospective study based on analysis of various study reports was conducted, to determine the median prevalence rates of depressive disorders in the elderly population of India and various other countries in the world. All the studies that constituted the sample were conducted between 1955 and 2005. Included are only community-based, cross-sectional surveys and some prospective studies that had not excluded depression at baseline. These studies were conducted on a homogenous community of the elderly population in the world, who were selected by a simple random sampling technique. After applying the inclusion and exclusion criteria on published and indexed articles, 74 original research studies that surveyed a total of 487 275 elderly individuals, in the age group of 60 years and above, residing in various parts of the world, were included for the final analysis. The median prevalence rate and its corresponding interquartile range were calculated. The chi-square test and chi-square for linear trend were applied. A P value of <.05 was considered as statistically significant. The median prevalence rate of depressive disorders in the world for the elderly population was determined to be 10.3% (interquartile range [IQR], 4.7%-16.0%). The median prevalence rate of depression among the elderly Indian population was determined to be 21.9% (IQR, 11.6%–31.1%). Although there was a significant decrease in the trend of world prevalence of geriatric depression, it was significantly higher among Indians, in recent years, than the rest of the world.

Systemic sclerosis (SSc) is a chronic multisystem connective tissue disorder with detrimental impact on quality of life. Patients with SSc face emotional distress and frequently meet criteria for a psychiatric disorder. However, the pattern of psychiatric manifestations may vary according to socioethnic background. We investigated the prevalence of depressive and anxiety symptoms and examined their association with sociodemographic and clinical factors in Iranian SSc patients. Depressive and anxiety symptoms were evaluated by Beck Depression Inventory and Cattell questionnaire in 114 SSc patients. The associations between sociodemographic and clinical factors and depressive/anxiety symptoms were examined via multivariate analysis. The prevalence of depressive symptoms was 68.4%. There was a significant association between depressive symptoms and pulmonary and gastrointestinal manifestations. Also, diffuse SSc patients were more prone to depressive symptoms. Mean Rodnan scores were significantly higher in patients with depressive symptoms in comparison with subjects with no depressive symptoms. The prevalence of anxiety symptoms was 23.6%. Anxiety symptoms were not associated with demographic characteristics, SSc subtype, disease duration, Rodnan score, other clinical features, and previous history of depression in the patients or their family. The coincidence of anxiety and depression was 82.8%. Depressive and anxiety symptoms are prevalent among Iranian SSc population. The depressive symptoms showed correlation with pulmonary and gastrointestinal involvement, as well as diffuse SSc subtype.

The authors investigated the theoretical and clinical role of depression among cocaine abusers in treatment. Eighty-nine cocaine-abusing patients underwent 2 weeks of substance abuse treatment. Posttreatment major depressive disorder, depressive symptoms before and after substance abuse treatment, and alcohol diagnoses were assessed and their relation to pretreatment substance use, cravings in high-risk situations, and 3-month follow-up status was examined. High rates of major depressive disorder were found but were unrelated to pretreatment substance use. The decrease in depressive symptoms during treatment was independent of major depressive disorder or alcohol diagnoses and predicted treatment attrition. Higher levels of depressive symptoms during treatment were associated with greater urge to use cocaine, alcohol, and other drugs in high-risk situations. Concurrent major depressive disorder and depressive symptoms did not predict cocaine use at follow-up. However, patients who had an alcohol relapse episode experienced more depressive symptoms during treatment than did those who abstained. The results highlight the relationship of depression to alcohol use among cocaine abusers and suggest a need for further studies of the association between depression and substance use disorders.

BackgroundThis study was designed to investigate the prevalence and predictors of depression in patients after pacemaker implantation during the COVID-19 pandemic in addition to identifying specific depressive symptoms associated with quality of life (QOL) using network analysis (NA).MethodsThis cross-sectional, observational study was conducted in China between July 1, 2021, and May 17, 2022. Descriptive analysis was used to calculate depression prevalence. Univariate analyses were used to compare differences in demographic and clinical characteristics between depressed and non-depressed patients following pacemaker implantation. Binary logistic regression analysis was used to assess factors independently associated with depression. Network analysis “expected influence,” and flow function indexes were used to identify symptoms central to the depression network of the sample and depressive symptoms that were directly associated with QOL, respectively. Network stability was examined using a case-dropping bootstrap procedure.ResultsIn total, 206 patients implanted with a pacemaker met the study entry criteria and completed the assessment. The overall prevalence of depression (PHQ-9 total score ≥ 5) was 39.92% [95% confidence interval (CI) = 29.37−42.47%]. A binary logistic regression analysis revealed that patients with depression were more likely to report a poor health status (p = 0.031), severe anxiety symptoms (p < 0.001), and fatigue (p < 0.001). In the network model for depression, “Sad mood,” “Poor Energy,” and “Guilt” were the most influential symptoms. “Fatigue” had the strongest negative association with QOL, followed by “Sad mood” and “Appetite”.ConclusionDepression is common among patients having undergone pacemaker implantation during the COVID-19 pandemic. Anxiety, central symptoms of depression (i.e., “Sad mood”, “Poor Energy”, and “Guilt”) and depressive symptoms linked to QOL (i.e., “Sad mood”, “Appetite”, and “Fatigue”) identified in this study are promising targets for interventions and preventive measures for depression in patients who have undergone pacemaker implants.

The purpose of this paper is to examine the general and specific gratifications that drive users’ choice of different social media. Sina Weibo and WeChat in China were selected for the current study. Two separate empirical surveys were conducted and 368 valid data were collected from Chinese university students experienced in using Sina Weibo or WeChat. Exploratory factor analysis, paired t test and independent-samples t test were employed for data analysis. The results identify four general gratifications for using different social media: hedonic gratification, affection gratification, information gratification and social gratification. In addition, factor structure of information gratification is different for different social media. Furthermore, the strength of each gratification differs to varying degrees across the use of different social media. Information gratification plays the most salient role in using Sina Weibo, whereas affection gratification is the most important motive for the use of WeChat. Also, the use of Sina Weibo can better fulfill individuals’ information and hedonic gratifications, while individuals prefer to use WeChat for achieving gratifications of social and affection.

BackgroundThe COVID-19 pandemic has created a global health crisis that is affecting economies and societies worldwide. During times of uncertainty and unexpected change, people have turned to social media platforms as communication tools and primary information sources. Platforms such as Twitter and Sina Weibo have allowed communities to share discussion and emotional support; they also play important roles for individuals, governments, and organizations in exchanging information and expressing opinions. However, research that studies the main concerns expressed by social media users during the pandemic is limited.ObjectiveThe aim of this study was to examine the main concerns raised and discussed by citizens on Sina Weibo, the largest social media platform in China, during the COVID-19 pandemic.MethodsWe used a web crawler tool and a set of predefined search terms (New Coronavirus Pneumonia, New Coronavirus, and COVID-19) to investigate concerns raised by Sina Weibo users. Textual information and metadata (number of likes, comments, retweets, publishing time, and publishing location) of microblog posts published between December 1, 2019, and July 32, 2020, were collected. After segmenting the words of the collected text, we used a topic modeling technique, latent Dirichlet allocation (LDA), to identify the most common topics posted by users. We analyzed the emotional tendencies of the topics, calculated the proportional distribution of the topics, performed user behavior analysis on the topics using data collected from the number of likes, comments, and retweets, and studied the changes in user concerns and differences in participation between citizens living in different regions of mainland China.ResultsBased on the 203,191 eligible microblog posts collected, we identified 17 topics and grouped them into 8 themes. These topics were pandemic statistics, domestic epidemic, epidemics in other countries worldwide, COVID-19 treatments, medical resources, economic shock, quarantine and investigation, patients’ outcry for help, work and production resumption, psychological influence, joint prevention and control, material donation, epidemics in neighboring countries, vaccine development, fueling and saluting antiepidemic action, detection, and study resumption. The mean sentiment was positive for 11 topics and negative for 6 topics. The topic with the highest mean of retweets was domestic epidemic, while the topic with the highest mean of likes was quarantine and investigation.ConclusionsConcerns expressed by social media users are highly correlated with the evolution of the global pandemic. During the COVID-19 pandemic, social media has provided a platform for Chinese government departments and organizations to better understand public concerns and demands. Similarly, social media has provided channels to disseminate information about epidemic prevention and has influenced public attitudes and behaviors. Government departments, especially those related to health, can create appropriate policies in a timely manner through monitoring social media platforms to guide public opinion and behavior during epidemics.

Mental health changes in elderly patients undergoing non-cardiac surgery during the COVID-19 pandemic in China

This study examined the prevalence of depression and depressive symptoms, and the correlates of depressive symptoms, and proposes some methods for reducing risk of depression in residents of the urban part of Jeju Island in Korea. In all, 1050 residents were selected using multiphasic cluster sampling to represent each district. Of the 981 respondents, 413 were men and 568 were women. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to evaluate depression (CES-D score over 25) and depressive symptoms (CES-D score over 21). Multiple logistic regression analysis was performed for comparisons. The prevalence of depression in males and females was comparable, at 9.47 and 11.36%, respectively. The prevalence of depressive symptoms in men was 15.01%, while in women the level rose to 18.37%. Those with high self-assessed level of stress scores were significantly more likely to have depressive symptoms than those with low self-assessed level of stress scores (odds ratio (OR) = 5.73 (95% confidence interval (95% CI), 1.29-25.36)). Residents at high risk of problem drinking (CAGE score over 3) were significantly more likely to have depressive symptoms than those with a CAGE score under 1 (OR = 3.43 95% CI, 1.77-6.66). Respondents who slept poorly had more depressive symptoms than respondents who slept well (OR = 2.11 95% CI, 1.37-3.23). Females were significantly more likely to have more depressive symptoms than males (OR = 1.70 95% CI, 1.08-2.68). The prevalence of depression and depressive symptoms in urban Jeju Island is similar to that in a nation-wide sample. By providing intensive mental health services to those who have high stress levels, problem drinking, and poor health behavior, early detection of depressive symptoms in the community will be important for improving general health status.

Quality of Life and Depression in CKD: Improving Hope and Health

P02-156 Prevalence depression in HCV - infected inmates treated with pegylated interferon alpha interferon pegilated

In recent years, a number of social events have attracted widespread attention on various different social media platforms. Among them, the public perceptions of the same event are different on different media platforms. Because of the different privacy of different social media platforms, they have different degrees of influence on the self-construction of users, the composition of interpersonal relationships on social media platforms, and the tendency of public opinion on social media platforms. This paper focuses on two different social media, WeChat and Weibo, and examines the reasons for the phenomenon of "WeChat being silent and Weibo being active" from the perspective of their functions and characteristics and investigates the impact of this phenomenon on public opinion tendencies. This paper concludes that people are more neutral and conservative in commenting on socially focused events on social media platforms where privacy is disclosed to easy acquaintances because of the psychology of building a positive self-image, but on social media platforms with fewer acquaintances, people do not need to be responsible for their own statements, so they are less burdened when speaking, and therefore their statements have more obvious tendencies. Under the influence of this tendency, social media platforms with more privacy will have a more conservative opinion tendency and vice versa, a more aggressive opinion tendency.

Do Canada and the United States Differ in Prevalence of Depression and Utilization of Services?

Background: The spread of rumors related to COVID-19 on social media has posed substantial challenges to public health governance, and thus exposing rumors and curbing their spread quickly and effectively has become an urgent task. This study aimed to assist in formulating effective strategies to debunk rumors and curb their spread on social media.Methods: A total of 2,053 original postings and 100,348 comments that replied to the postings of five false rumors related to COVID-19 (dated from January 20, 2020, to June 28, 2020) belonging to three categories, authoritative, social, and political, on Sina Weibo in China were randomly selected. To study the effectiveness of different debunking methods, a new annotation scheme was proposed that divides debunking methods into six categories: denial, further fact-checking, refutation, person response, organization response, and combination methods. Text classifiers using deep learning methods were built to automatically identify four user stances in comments that replied to debunking postings: supporting, denying, querying, and commenting stances. Then, based on stance responses, a debunking effectiveness index (DEI) was developed to measure the effectiveness of different debunking methods.Results: The refutation method with cited evidence has the best debunking effect, whether used alone or in combination with other debunking methods. For the social category of Car rumor and political category of Russia rumor, using the refutation method alone can achieve the optimal debunking effect. For authoritative rumors, a combination method has the optimal debunking effect, but the most effective combination method requires avoiding the use of a combination of a debunking method where the person or organization defamed by the authoritative rumor responds personally and the refutation method.Conclusion: The findings provide relevant insights into ways to debunk rumors effectively, support crisis management of false information, and take necessary actions in response to rumors amid public health emergencies.