Network analysis of mental health problems among adults in Addis Ababa, Ethiopia: a community-based study during the COVID-19 pandemic DOI Creative Commons
Firehiwot Workneh, Alemayehu Worku, Nega Assefa

et al.

BMJ Open, Journal Year: 2024, Volume and Issue: 14(1), P. e075262 - e075262

Published: Jan. 1, 2024

Objective COVID-19 has negatively impacted mental health of adults globally with increased rates psychiatric comorbidities. However, network analysis studies to examine comorbidities and correlations between symptoms different disorders are uncommon in low-income countries. This study aimed investigate the structure depression, anxiety perceived stress among Addis Ababa identify most central bridge within depressive-anxiety-perceived model. Design Community-based cross-sectional study. Setting was carried out on a sample general population during first year pandemic. A total 1127 participants were included this study, which 747 (66.3%) females, mean age 36 years. Primary secondary outcome measures Symptoms measured using Patient Health Questionnaire, Generalized Anxiety Disorder Scale Perceived Stress Scale, respectively. Network conducted structure. The centrality index expected influence (EI) EI (1-step) applied determine symptoms. Case-dropping procedure used stability. Result sad mood (EI=1.52) symptom Irritability (bridge EI=1.12) nervousness stressed EI=1.33) also served as strongest edge uncontrollable worry (weight=0.36) community. had good stability accuracy. invariant by gender based invariance test. Conclusions In core symptom. other identified should be targeted prevent adults.

Language: Английский

Network Analysis of Psychological Empowerment, Need for Cognition, and Academic Self-Efficacy among Graduate Students DOI

Abdulaziz Mohammed Alismail,

Mazen Saleh Alqurashi, Mazen Omar Almulla

et al.

Psychiatric Quarterly, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Language: Английский

Citations

0
Italian validation and network analysis of SHAME (SHAME-I) and its associations with perceived dysfunctional parenting DOI Creative Commons
Giorgio Veneziani, Matteo Reho, Federica Luciani

et al.

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

Published: Jan. 27, 2025

Language: Английский

Citations

0
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
Which intervenes first? The comorbidity of sleep disturbances and anxiety symptoms among adolescents: A cross-sectional and longitudinal network analyses DOI
Dan Chen, Haoxian Ye,

Luowei Bu

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 378, P. 329 - 339

Published: March 4, 2025

Language: Английский

Citations

0
Changes in network centrality of anxiety and depression symptoms associated with childhood trauma among Chinese college students DOI Creative Commons

Yuanmei Tao,

Huihao Fan, Min Wang

et al.

BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 4, 2025

Childhood trauma is strongly linked to anxiety and depression, significantly increasing the risk of negative outcomes in adulthood. This study employed network analysis investigate complex interplay depression symptoms among Chinese college students, focusing on identifying core most directly affected by childhood those exerting greatest influence others. Data were collected from December 2020 January 2021 2,266 students at 16 institutions southwestern eastern coastal China. Depression, anxiety, assessed using Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Trauma Questionnaire-28, respectively. Separate symptom networks constructed for participants with without experiences. Central indices identify central within each network. The accuracy stability then evaluated. Finally, a comparison test was used analyze differences properties between non-trauma groups. Loss Energy Worry too much group, while anhedonia nervousness group. There significant difference global strength group (pFDR< 0.01), but no distribution edge weights two (pFDR =0.14). Anhedonia, Suicide ideation Feeling afraid showed increased centrality compared demonstrates profound impact students. Further research warranted specific pathways through which these develop, goal developing targeted interventions this vulnerable population.

Language: Английский

Citations

0
Anxiety, depressive and insomnia symptoms among patients with depression: a network perspective DOI Creative Commons
Xue Luo, Leqin Fang, Shixu Du

et al.

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: May 10, 2025

The aim of this study was to utilize network analysis explore the interconnections among anxiety, depressive, and insomnia symptoms in depressed patients China. included two surveys, baseline survey conducted from May 18, 2020 June 2020, follow-up 5 months later. A total 4476 completed survey, 1877 them survey. Depression were evaluated using 9-item Patient Health Questionnaire-9 (PHQ-9), anxiety 7-item Generalized Anxiety Disorder (GAD-7), Insomnia Severity Index (ISI). centrality indices are utilized analysis, Network Comparison Test (NCT) evaluate differences between structures at different time points. revealed that central symptom value ISI5 ("Interfere with your daily functioning") networks ISI4 ("Worried/distressed") networks, bridge both PHQ9-3 ("Sleep"). NCT results no significant edge weights global strength participants who surveys. Our suggest (e.g., "Interfere functioning","Worried/distressed") ("Sleep") can be prioritized as a target for intervention treatment depression.

Language: Английский

Citations

0
Psychological impact of COVID-19: A cross-lagged network analysis from the English Longitudinal Study of Aging COVID-19 database DOI Creative Commons
Cristian Ramos‐Vera, Angel García O’Diana,

Miguel Delgado Basauri

et al.

Frontiers in Psychiatry, Journal Year: 2023, Volume and Issue: 14

Published: Feb. 22, 2023

The COVID-19 pandemic and its subsequent health restrictions had an unprecedented impact on mental health, contributing to the emergence reinforcement of various psychopathological symptoms. This complex interaction needs be examined especially in a vulnerable population such as older adults.In present study we analyzed network structures depressive symptoms, anxiety, loneliness from English Longitudinal Study Aging Substudy over two waves (Months June-July November-December 2020).For this purpose, use measures centrality (expected bridge-expected influence) addition Clique Percolation method identify overlapping symptoms between communities. We also directed networks direct effects variables at longitudinal level.UK adults aged >50 participated, Wave 1: 5,797 (54% female) 2: 6,512 (56% female). Cross-sectional findings indicated that difficulty relaxing, anxious mood, excessive worry were strongest similar (Expected Influence) both waves, while mood was one allowed interconnection all (bridge expected influence). On other hand, sadness sleeping reflected highest comorbidity among during first second respectively. Finally, level, found clear predictive effect direction nervousness symptom, which reinforced by (difficulties enjoying life) (feeling being excluded or cut off others).Our suggest depressive, anxious, dynamically function context UK.

Language: Английский

Citations

7
Psychometric properties of the Youth Self-rated Insomnia Scale (YSIS) in adolescent psychiatric patients DOI
Lei Hu, Ziyang Wang, Yanyun Yang

et al.

Sleep and Biological Rhythms, Journal Year: 2023, Volume and Issue: 22(1), P. 103 - 111

Published: Sept. 20, 2023

Language: Английский

Citations

7
Novel Approaches Toward Studying Change DOI
Saida Heshmati, Marlon Westhoff, Stefan G. Hofmann

et al.

Psychiatric Clinics of North America, Journal Year: 2024, Volume and Issue: 47(2), P. 287 - 300

Published: March 22, 2024

Language: Английский

Citations

2
Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic DOI Creative Commons
Hui Ouyang,

Lili Wu,

Wenjie Yan

et al.

Therapeutic Advances in Psychopharmacology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 1, 2024

Background: Coronavirus disease 2019 pandemic pointed out significant mental symptoms of frontline healthcare workers (HCWs). Objective: We aimed to estimate the prevalence and comorbidity post-traumatic stress (PTSS), depression anxiety in HCWs from Fangcang shelter hospitals during pandemic. Design: Demographic information, disorder checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9) Generalized Anxiety Disorder (GAD-7) were obtained online based on stratified random sampling design April 2022, with 284 eligible responses. Method: Hierarchical regression analyses applied investigate independent variables associated psychological status outcomes (PHQ-9, GAD-7 PCL-5), network explore using all items PCL-5, PHQ-9 GAD-7. Results: (1) 10.56%, 13.03% 8.10% reported PTSS, symptoms. Fifty-three (18.66%) experienced at least one health disorder, among which 26.42–37.74% had two or three disorders; (2) several influence factors identified, including medical professions, working hours, contacted patients ( p < 0.05); (3) prominent bridge between PTSS sleep problems, suicide ideation, concentration difficulties recklessness. Comorbidity was thought mainly stem negative affect, such as afraid, anxious, annoyed worrying. Depressed mood worry might be good targets treatment anxiety. Conclusion: Our data suggest mild level give novel insights into assessment intervention comorbidity.

Language: Английский

Citations

2