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Persons with suicidality including suicidal ideation (SI), suicide plans (SP) and/or suicide attempts (SA) are at higher risk for future suicide than those without suicidality. To reduce the risk of future suicide, it is important to understand symptoms of emotional distress that have the strongest links with SI, SP and SA. This network analysis examined item-level relations of depressive and anxiety symptoms with suicidality among adolescents during the COVID-19 pandemic.Adolescents between 12 and 20 years of age were assessed with the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and individual binary reponse (no/yes) items assessing SI, SP, and SA during the pandemic. The structure of depressive symptoms, anxiety symptoms and suicidality was characterized using "Expected Influence" and "Bridge Expected Influence" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Node-specific predictive betweenness was computed to examine short paths of anhedonia, other depressive symptoms and anxiety symptoms with suicidality. A Network Comparison Test (NCT) was conducted to examine whether network characteristics differed based on gender.Prevalence rates of depressive symptoms, anxiety symptoms, and suicidality were 44.60 % (95% confidence interval (CI) = 41.53-47.67 %), 31.12 % (95%CI = 28.26-33.98 %), and 16.95 % (95%CI = 14.63-19.26 %), respectively, in the study sample. The network analysis identified GAD3 ("Worry too much") as the most central symptom, followed by GAD6 ("Irritability") and PHQ6 ("Guilt") in the sample. Additionally, PHQ6 ("Guilt"), GAD6 ("Irritability"), and PHQ2 ("Sad mood") were bridge nodes linking depressive and anxiety symptoms with suicidality. A flow network indicated that the connection between S ("Suicidality") and PHQ6 ("Guilt") reflected the strongest connection, followed by connections of S ("Suicidality") with GAD2 ("Uncontrollable worrying"), and S ("Suicidality") with PHQ2 ("Sad mood"). Finally, PHQ2 ("Sad mood") was the main bridge node linking anhedonia with other depressive and anxiety symptoms and suicidality in the sample.Findings highlight the potential importance of reducing specific depressive and anxiety symptoms as possible means of reducing suicidality among adolescents during the pandemic. Central symptoms and key bridge symptoms identified in this study should be targeted in suicide prevention for at-risk adolescents.

Although the Coronavirus Disease 2019 (COVID-19) has greatly impacted individuals' mental health and quality of life, network analysis studies of associations between symptoms of common syndromes during the pandemic are lacking, particularly among Macau residents. This study investigated the network structure of insomnia, anxiety, and depression and explored their associations with quality of life in this population.This online survey was conducted in Macau between August 18 and November 9, 2020. Insomnia, anxiety, depressive symptoms, and quality of life were assessed with the Insomnia Severity Index, Generalized Anxiety Disorder Scale, Patient Health Questionnaire, and World Health Organization Quality of Life-brief version, respectively. Analyses were performed to identify central symptoms and bridge symptoms of this network and their links to quality of life.975 participants enrolled in this survey. The prevalence of depressive, anxiety and insomnia symptoms were 38.5% (95% confidence interval (CI): 35.5%-41.5%), 28.8% (95%CI: 26.0%-31.7%), and 27.6% (95% CI: 24.8%-30.4%), respectively. "Sleep maintenance" had the highest expected influence centrality, followed by "Trouble relaxing", "Interference with daytime functioning", "Irritability", and "Fatigue". Five bridge symptoms were identified: "Sleep problems", "Restlessness", "Irritability", "Severity of sleep onset", and "Motor activity". The insomnia symptom, "Sleep dissatisfaction", had the strongest direct relation to quality of life.Insomnia symptoms played a critical role in the distress symptom network regarding node and bridge centrality as well as associations with quality of life among Macau residents. Close attention to these symptoms may be critical to reducing risk and preventing exacerbations in common forms of distress in this population.

Internet addiction (IA) and depression are common among adolescents and often are co-occurring. This study examined the network structures of IA and depressive symptoms (depression hereafter) in adolescents.A total of 1,009 adolescents were recruited. IA and depression were measured using the Internet Addiction Test (IAT) and the 9 items-Patient Health Questionnaire (PHQ-9), respectively. A network analysis was conducted to identify central symptoms and bridge symptoms using centrality indices. Network stability was evaluated using the case-dropping procedure. The Network Comparison Test (NCT) was conducted to examine whether network characteristics differed by gender.Network analysis revealed that nodes IAT-15 ("Preoccupation with the Internet"), IAT-2 ("Neglect chores to spend more time online"), PHQ-6 ("Guilty"), and IAT-16 ("Request an extension for longer time spent online") were the most central symptoms within the model of coexisting IA and depression. The most important bridge symptom was node IAT-11 ("Anticipation for future online activities"), followed by IAT-12 ("Fear that life is boring and empty without the Internet") and IAT-19 ("Spend more time online over going out with others"). Gender did not significantly influence the network structure. The IA and depression network model showed a high degree of stability.The central symptoms along with key bridge symptoms identified could be potentially targeted when treating and preventing IA and depression among adolescents.

BackgroundDepression commonly occurs in heart failure patients, and negatively influences quality of life and disease prognosis. This study explored heart failure and depression-related research from a bibliometric perspective.MethodsRelevant publications were searched on June 24, 2022. The Bibliometrix package in R was used to conduct quantitative analyses including the trends in publications, and related countries, articles, authors and keywords. VOSviewer software was used to conduct the visualization map on co-word, co-author, and institution co-authorship analyses. CiteSpace software was used to illustrate the top keywords with citation burst.ResultsA total of 8,221 publications in the heart failure and depression-related research field were published between 1983 and 2022. In this field, the United States had the most publications (N = 3,013; 36.65%) and highest total citation (N = 149, 376), followed by China, Germany, Italy and Japan. Author Moser and Duke University were the most productive author and institution, respectively. Circulation is the most influential journal. Apart from “heart failure” and “depression,” “quality of life,” “mortality” and “myocardial infarction” were the most frequently used keywords in this research area; whereas more recently, “self care” and “anxiety” have been used more frequently.ConclusionThis bibliometric analysis showed a rapid growth of research related to heart failure and depression from 1989 to 2021, which was mostly led by North America and Europe. Future directions in this research area include issues concerning self-care and anxiety about heart failure. As most of the existing literature were published in English, publications in other languages should be examined in the future.

To review the efficacy and safety of aripiprazole (ARI) for Tourette's syndrome (TS).This review included randomized controlled trials (RCTs) of children and adolescents (6-18 years) with TS comparing ARI monotherapy with another monotherapies in relation to clinical improvement and adverse events.Six RCTs with a total of 528 subjects (ARI treatment group: n = 253; control group: n = 275) met the inclusion criteria. These included two RCTs (n = 255) that compared ARI monotherapy with tiapride (TIA). Tic symptoms control assessed by Yale Global Tic Severity Scale (Standard Mean Difference (SMD) = -0.38 (Confidence Interval (CI) = -1.32 to 0.56); I(2) = 90%, P = 0.42) revealed no significant differences between the two groups. Extrapyramidal symptoms were significantly different when ARI (1.5%) was compared with haloperidol (HAL) (43.5%). No significant group differences were found in the rates of nausea/vomiting, dizziness, and dry mouth between ARI and TIA (RR = 0.57 to 1.00 (95%CI = 0.14-4.20); I(2) = 0% to 69%, P = 0.35 to 1.00).This review found that ARI has similar efficacy to TIA and HAL for TS, while extrapyramidal symptoms were significantly less with ARI than with HAL. ARI can be considered as an alternative treatment option for TS.