Clustering and drivers of symptoms observed at week six after antidepressant treatment in depressed outpatients DOI Creative Commons
Michel Danon, Daphnée Poupon, Philippe Courtet

et al.

European Psychiatry, Journal Year: 2024, Volume and Issue: 67(1)

Published: Jan. 1, 2024

Abstract Background Depressive symptoms remaining after antidepressant treatment increase the risk of relapse and recurrence. We aimed to analyze distribution main drivers in patients with a major depressive episode. Methods Two independent samples 8,229 5,926 from two large naturalistic studies were retrospectively analyzed. DSM-IV criteria for episodes assessed during face-to-face visits clinicians: before prescription new antidepressant, 6 weeks treatment. The Hospital Anxiety Depression Scale (HADS) was used assess baseline severity anxiety depression. Results In both samples, clusters observed. first cluster encompassed related negative emotional cognitive bias specifically driven by second neurovegetative anxiety. Conclusions anxiety-depressive balance could be considered adapt treatment, focusing on high depression, severity.

Language: Английский

A network analysis of the heterogeneity and associated risk and protective factors of depression and anxiety among college students DOI Creative Commons

Chunjuan Niu,

Yaye Jiang,

Yihui Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 25, 2025

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

Citations

0
Unveiling the intricate connection between rumination, depression, and anxiety symptoms in Chinese college students: a network analysis DOI

Yingxue Wang,

Yuhao Wang, Blen Dereje Shiferaw

et al.

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Language: Английский

Citations

0
Network modeling of Generative Conversational Al Needs, Childhood Trauma and Mental health in Adolescents from Impoverished Regions (Preprint) DOI
Youdong Li, Jianqiang Wang, Shaoxiong Li

et al.

Published: March 6, 2025

BACKGROUND Generative Conversational AI (GCAI) holds significant potential within the mental health domain, particularly for adolescents in impoverished regions, as these areas often lack adequate resources and infrastructure. OBJECTIVE To evaluate prevalence of childhood trauma, issues, needs GCAI among from to explore addressing needs. METHODS An online survey was conducted 18,093 regions. Machine learning ensembles, network analysis, Bayesian networks were used identify key predictors underlying relationships between health, RESULTS The analysis revealed that issues 15.65% (95% CI: 15.12%-16.18%), 38.12% 37.41%-38.83%). findings underscore address areas, emphasizing importance targeting depression, anxiety, interpersonal sensitivity mitigate effects trauma other issues. Mental prevalent 15.12%-16.18%) adolescents, with 12.94% 12.46%-13.43%) exhibiting mild 2.71% moderate severe Childhood reported by 34.46% 33.76%-35.15%) participants. expressed 37.41%-38.83%) 75.18% 73.58%-76.77%) those 43.70% 42.46%-44.93%) indicating a need support. models identified 14 needs, integrating glmBoost RF algorithms showing highest predictive accuracy training set (AUC = .982) testing .759). Network depression (EI 1.15) anxiety 1.06) core nodes, emotional abuse (BEI 1.69) 1.61) bridge nodes. instability (strength -38.74, direction 0.88), -25.41, 0.91), -18.21, 0.92) direct causal CONCLUSIONS study highlights regions sensitivity. Future work should focus on developing culturally appropriate interventions provide accessible psychological support areas.

Language: Английский

Citations

0
Gender differences in the network of suicidal ideation, interpersonal needs and depressive symptoms among Chinese college students DOI Creative Commons
Jiaxi Peng, Lei Ren

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 27, 2025

Interpersonal needs and depression are two recognized significant risk factors for suicidal ideation. Previous studies have preliminarily revealed the gender-dependent effects of interpersonal on However, there very few that place these variables within a single framework apply symptom-level analysis to investigate relationships among them. This study applied network construct female male networks using data from 781 628 young adults. The included needs, depressive symptoms, Key characteristics networks, including edge connections, bridge expected influence (BEI), global (GEI), were compared. results suggested gender significantly impacts node BEI, GEI final networks. Several connections disclosed, such as perceived burdensomeness (PB)-suicidal ideation, hopelessness-suicidal PB-sense failure, PB-sadness. PB (marginally) thwarted belongingness show differences in their impact symptoms. is greater than network. These findings offer valuable insights modern theoretical frameworks examining between Additionally, provide empirical support selecting screening, prevention, intervention strategies ideation across genders.

Language: Английский

Citations

0
Impact of healthy lifestyle on the incidence and progression trajectory of mental disorders: A prospective study in the UK Biobank DOI
Hao Chen,

Rui-Dian Huang,

Lianghua Li

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 358, P. 383 - 390

Published: May 10, 2024

Language: Английский

Citations

3
Family Functioning, Anxiety and Depression in Chinese Higher Vocational School Students: A Network Analysis DOI Creative Commons

Linlin Ye,

Shujuan Chen, Qingwei Chen

et al.

Psychology Research and Behavior Management, Journal Year: 2024, Volume and Issue: Volume 17, P. 4399 - 4412

Published: Dec. 1, 2024

Network analysis is a statistical method that explores the complex interrelationships among variables by representing them as nodes and edges in network structure. This study aimed to examine interconnections between family functioning, anxiety, depression vocational school students through approach.

Language: Английский

Citations

1
Network analysis of anxiety and cognitive impairment among mental healthcare workers DOI Creative Commons
Ruirui Chen,

Wei Yan,

Qinge Shen

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 21, 2024

Introduction With the rising demand for medical services and associated burden, work-related stress mental health issue have garnered increased attention among healthcare workers. Anxiety, cognitive impairment, their comorbidities severely impact physical as well work status of The network analysis method was used to identify anxiety impairment workers using Generalized Anxiety Disorder Scale (GAD-7) Perceived Deficit Questionnaire Depression (PDQ-D). We sought core symptoms with comorbidity in Methods study conducted by Shandong Daizhuang Hospital Qingdao Mental Health Center China from September 13, 2022, October 25, involving a total 680 participants. GAD-7 PDQ-D were utilized assess respectively. Regularized partial correlation employed examing expected influence predictability each item within network. Statistical visualization performed R software. Results mean score 3.25, while 15.89. PDQ17 “Remembering numbers”, PDQ12 “Trouble get started” PDQ20 make decisions” emerged central anxiety-cognition GAD6 “Irritable”, GAD5 “Restlessness” GAD1 “Nervousness or anxiety” identified most critical bridge connecting cognition. Gender found be unrelated global strength network, edge weight distribution, individual weights. Conclusion Utilizing (i.e., Remembering numbers, Trouble started, decisions, Irritable, Restlessness Nervousness anxiety) primary intervention points may aid mitigating serious consequences anxiety,

Language: Английский

Citations

0
Heterogeneity of depression and anxiety among college students and related risk and protective factors: a network model DOI Creative Commons

Chunjuan Niu,

Yaye Jiang,

Yihui Li

et al.

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

Published: Oct. 16, 2024

Abstract 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

Citations

0
Network structure of functional somatic symptoms DOI Creative Commons

Alexandra Litzenburger,

Yannick Rothacher,

Kay-Uwe Hanusch

et al.

Journal of Psychosomatic Research, Journal Year: 2024, Volume and Issue: 188, P. 111968 - 111968

Published: Nov. 1, 2024

Language: Английский

Citations

0
Longitudinal Associations Between Anxiety and Depressive Symptoms in Adolescence, Early Adulthood, and Old Age: Cross‐Lagged Panel Network Analyses DOI Creative Commons
Shoushi Wang, Zh Yeng Chong, Chunyang Zhang

et al.

Depression and Anxiety, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Background: Depression and anxiety are among the most prevalent psychiatric disorders worldwide, affecting individuals of all ages. The co-occurrence these often exacerbates their negative health impacts, underscoring necessity understanding comorbid mechanisms. Methods: This study employed cross-lagged panel networks (CLPNs) to explore longitudinal associations between depression symptoms across three age groups compare respective symptom networks. CLPNs were constructed through cross-temporal different symptoms, reflecting both pattern interaction significance specific in comorbidity. sample consisted 1258 adolescents (aged 13-19 years, M = 15.98), 1118 college students 17-24 19.94), 548 older adults 60-101 85.19) from China. assessed using subscales Depression, Anxiety, Stress Scale Short Version (DASS-21) at two time points over a 6-month period during 2020-2021. Results: findings revealed that prevalence adolescents, students, was 25.9%/46.6%, 53.7%/61.5%, 7.2%/22.5%, respectively. network structure varied groups: exhibiting tight interconnection while showed stronger small-world characteristics. A key finding central role irrational fear. In addition, somatic frequently emerged as outcomes other psychological symptoms. Conclusion: more pronounced compared adults. Comparisons overall provide insights into lifelong trajectories centrality fears somatization is emphasized. These results offer guidance for targeted clinical interventions.

Language: Английский

Citations

0