Network analysis of anxiety and depressive symptoms among patients with heart failure

BMC Psychiatry, Journal Year: 2024, Volume and Issue: 24(1)

Published: Nov. 14, 2024

Anxiety and depressive symptoms are common among patients with heart failure (HF). Physical limitations, lifestyle changes, uncertainties related to HF can result in the development or exacerbating of anxiety symptoms. However, central bridge network remain unclear. Network analysis is a statistical method that discover visualize complex relationships between multiple variables. This study aimed establish identify this HF. employed cross-sectional design convenience sampling recruit followed Helsinki Declaration was approved by Research Ethics Committee Hospital. The Generalized Disorder-7 (GAD-7) Patient Health Questionnaire (PHQ-9) were administered evaluate HF, respectively. performed using R. In network, PHQ2 (feeling down, depressed, hopeless), PHQ7 (inability concentrate), GAD4 (difficulty relaxing) most linked GAD6 (becoming easily annoyed impatient), GAD5 (unable sit still because anxiety), GAD7 afraid something terrible about happen), PHQ6 bad like failure, disappointing oneself family). identified Targeting these contribute interventions for at risk of—or suffering from—anxiety symptoms, which be effective reducing comorbidity depression.

Language: Английский

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Heterogeneity of depression and anxiety among college students and related risk and protective factors: a network model

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 16, 2024

Background Comorbidity of depression and anxiety is common among adolescents can lead to adverse outcomes. However, there limited understanding the latent characteristics mechanisms governing these disorders their interactions. Moreover, few studies have examined impacts relevant risk protective factors. Methods This cross-sectional study involved 1,719 students. Mplus 8.0 software was used conduct profile analysis explore potential categories comorbidities. R4.3.2 network core symptoms, bridge disorders, evaluate effects Results Three were established: “healthy” (57.8%), “mild depression-mild anxiety” (36.6%), “moderately severe depression-moderate (5.6%). “Depressed mood”, “nervousness”, "difficulty relaxing" symptoms in both depression-anxiety comorbidity Stress perception neuroticism serve as bridging nodes connecting some are thus considered most prominent Conclusions According identified this study, targeted intervention treatment be provided groups with comorbid anxiety, thereby reducing comorbidities adolescents.

Language: Английский

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Anxiety and depression in Chinese cataract patients: a network analysis

BMC Psychology, Journal Year: 2024, Volume and Issue: 12(1)

Published: Nov. 29, 2024

Prior research has demonstrated that people with cataracts are more likely to experience anxiety and depression co-occurring when the condition advances a degree impairs vision beyond its physiological effects. According network theory, there is connection between interplay of genesis comorbidity. Using viewpoint, our study examined properties anxiety-depression in cataract patients pinpoint central bridge symptoms as well possible intervention targets for focused successful therapies. A total 1,254 were enrolled study. The Nine-item Patient Health Questionnaire (PHQ-9) Seven-item Generalized Anxiety Disorder scale (GAD-7) used measure symptoms, respectively. R 4.3.3 software was utilized model building descriptive statistics. Furthermore, we displayed "Thoughts death" flow network. In network, A5 "Restlessness"- D7 "Concentration difficulties" showed strongest edge. A2 "Uncontrollable worry" D2 "Depressed or sad mood" could be identified symptoms. A7 "Afraid something will happen" edge D9 death"-D6 "Feeling worthlessness". worry", mood", potential prevention patients. this emphasizes how important it prevent suicide patients, symptom worthlessness" can an effective target.

Language: Английский

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