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

Effects of personal relative deprivation on the relationship between anger rumination and aggression during and after the COVID‐19 pandemic lockdown: A longitudinal moderated network approach DOI
Yanqiang Tao, Haiqun Niu, Yue Li

et al.

Journal of Adolescence, Journal Year: 2023, Volume and Issue: 95(3), P. 596 - 608

Published: Jan. 13, 2023

Language: Английский

Citations

14
Mapping network connection among symptoms of anxiety, depression, and sleep disturbance in Chinese high school students DOI Creative Commons
Shujian Wang, Wenxin Hou, Yanqiang Tao

et al.

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: Sept. 23, 2022

Due to tremendous academic pressure, Chinese high school students suffer from severe depression, anxiety, and sleep disturbances. Moreover, senior commonly face more serious mental health problems than junior students. However, the co-occurrence internal relationships of disturbances clusters are scarcely examined among Therefore, current study inspected between disturbance symptoms through network analysis identified key bolstering correlation intensifying syndromes.A total 13,999 (Mage = 13.42 years, SDage 1.35, 50% females) 12,550 16.93 1.67, 47% were recruited in Harbin. We constructed networks for all students, group, including data Youth Self-rating Insomnia Scale-3 (YSIS-3), Generalized Anxiety Disorder-2 (GAD-2), Patient Health Questionnaire-2 (PHQ-2). The indices "strength" was used identify symptoms' centrality, "bridge strength" find specific nodes that could bridge disturbance.The stable accurate. Among networks, "Nervousness" (GAD1) had highest strength, "Nervousness"-"Excessive worry" (GAD1-GAD2) strongest correlation. also functioned as symptom while "Sad mood" (PHQ2) Senior scored higher on items a tighter structure.In consisting disturbance, anxiety plays conspicuous role comorbidity which transforms into depression Treatments or interventions should be focused these critical symptoms.

Language: Английский

Citations

21
Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach DOI Creative Commons
Marlon Westhoff, Max Berg, Andreas Reif

et al.

Cognitive Therapy and Research, Journal Year: 2024, Volume and Issue: 48(5), P. 791 - 807

Published: June 24, 2024

Abstract Background Despite impressive dissemination programs of best-practice therapies, clinical psychology faces obstacles in developing more efficacious treatments for mental disorders. In contrast to other medical disciplines, psychotherapy has made only slow progress improving treatment outcomes. Improvements the classification disorders could enhance tailoring improve effectiveness. We introduce a multimodal dynamical network approach, address some challenges faced by research. These include absence comprehensive meta-theory, comorbidity, substantial diagnostic heterogeneity, violations ergodicity assumptions, and limited understanding causal processes. Methods Through application analysis, we describe how advance research addressing central problems field. By utilizing dynamic analysis techniques (e.g., Group Iterative Multiple Model Estimation, multivariate Granger causality), measurements (i.e., psychological, psychopathological, neurobiological data), intensive longitudinal data collection Ecological Momentary Assessment), inference methods GIMME), our approach comprehension Under umbrella systems e.g., graph theory control theory, aim integrate from longitudinal, measurements. Results The enables as networks interconnected symptoms. It dismantles artificial boundaries, facilitating transdiagnostic view psychopathology. integration enhances ability identify influential nodes, prioritize interventions, predict impact therapeutic strategies. Conclusion proposed psychological providing individualized models psychopathology suggesting individual angles.

Language: Английский

Citations

5
Association between quarantine and sleep disturbance in Hong Kong adults: The mediating role of COVID-19 mental impact and distress DOI Creative Commons
Ted C. T. Fong, Kay Chang, Rth Ho

et al.

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

Published: Feb. 28, 2023

COVID-19 quarantine has been associated with increased sleep problems and prolonged psychological responses to the pandemic could mediate this relationship. The present study attempted examine mediating role of mental impact distress between disturbance.The recruited 438 adults (109 experience) in Hong Kong via an online survey August October 2021. respondents completed a self-report questionnaire on quarantine, Mental Impact Distress Scale: (MIDc), Pittsburgh Sleep Quality Index (PSQI). MIDc was treated as latent mediator continuous PSQI factor poor quality (PSQI score > 5) were outcomes. We evaluated direct indirect effects disturbance using structural equation modeling. Analyses adjusted for gender, age, education level, knowing confirmed cases, frontline work, primary income source family.More than half (62.8%) sample reported quality. Quarantine significantly higher levels (Cohen d = 0.23 - 0.43, p < 0.05). In model, mediated relationship (αβ 0.152, 95% CI 0.071 0.235). proportion by 10.7% (95% 0.050 0.171) indirectly MIDc.The results provide empirical support disturbance.

Language: Английский

Citations

10
The relationship between anxiety and internet gaming disorder in children during COVID-19 lockdown: a network analysis DOI Creative Commons
Tianqi Yang, Yang He,

Chunyan He

et al.

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

Published: May 17, 2023

Internet gaming disorder (IGD) has become a social problem in children. Evidence from previous studies proven that anxiety is associated with IGD. However, IGD was always assessed as whole based on total scores, and the fine-grained relationship between hidden.The present study aims to investigate elementary school students during COVID-19 lockdown, identify potential targets for psychological interventions.During lockdown caused by pandemic, 667 children primary China were investigated Spence Children's Anxiety Scale-Short Version Gaming Disorder Scale. R4.1.1 software used construct network model, assess bridge centrality, test robustness of conduct network.There 23 cross-community edges (weight ranged -0.03 0.12), each node connected different nodes The top 80th percentile expected influence A2 "social phobia" (0.20), A3 "panic disorder" (0.21) IGD5 "escape" (0.22). acceptable.From perspective analysis, explored correlation pathways identified phobia panic best intervention reduce

Language: Английский

Citations

9
The Longitudinal Features of Depressive Symptoms During the COVID-19 Pandemic Among Chinese College Students: A Network Perspective DOI
Yue Zhao, Kaixin Liang, Diyang Qu

et al.

Journal of Youth and Adolescence, Journal Year: 2023, Volume and Issue: 52(10), P. 2031 - 2044

Published: June 12, 2023

Language: Английский

Citations

9
Effects of Neuroticism on Differences in Symptom Structure of Life Satisfaction and Depression-Anxiety among College Students: A Network Analysis DOI Creative Commons
Qihui Tang, Xiaoyan He, Liang Zhang

et al.

Behavioral Sciences, Journal Year: 2023, Volume and Issue: 13(8), P. 641 - 641

Published: Aug. 1, 2023

Object: Numerous studies show that depression and anxiety have an adverse effect on life satisfaction among college students. Moreover, neuroticism affects depression, anxiety, satisfaction. Comparing the low-neuroticism high-neuroticism groups, current study used network analysis to examine relationship between Methods: A sample consisted of 1233 students from China who completed Big Five Inventory-2 (BFI-2), Self-rating Anxiety Scale (SAS), Depression (SDS), Satisfaction With Life (SWLS).All were divided into two groups according levels neuroticism. Depression-anxiety symptom networks flow formed. Results: "Insomnia" (SAS19) "Sleep disturbance" (SDS4) are bridge symptoms with varying In addition, compared group low neuroticism, high showed more in greater global strength. Many depression-anxiety negatively associated satisfaction, "Emptiness" (SDS18) is important group's network. Conclusion: This contributes our understanding connection identified essential target intervention enhancement

Language: Английский

Citations

9
Relationships between psychopathological symptoms, pandemic-related stress, perceived social support, and COVID-19 infection history: a network analysis in Chinese college students DOI Creative Commons

Chi Kei Krystal Lee,

Kwun Nam Joe Chan,

Corine Sau Man Wong

et al.

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

Published: Feb. 2, 2024

Introduction Previous coronavirus, 2019 (COVID-19) research has applied network analysis to examine relationships between psychopathological symptoms but rarely extended potential risk and protective factors or the influence of COVID-19 infection history. This study examined complex inter-relationships symptoms, COVID-19–related stressors, perceived social support, history among Chinese university/college students during peak fifth pandemic wave using a approach. Methods A Least Absolute Shrinkage Selection Operator–regularized partial correlation Gaussian graphical model was constructed in 1,395 Hong Kong who completed survey 15 March 3 April, 2022. Depressive, anxiety, acute/traumatic stress were measured by Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Impact Event Scale-6, respectively. stressors support measured. Network differences (COVID-network vs. no_COVID-network) communities examined. Results Our results showed that most influential nodes depressed mood, uncontrollable worries, thoughts about COVID-19. The main bridging concentration problems psychomotor problems. COVID-network, comprising participants with only, significantly stronger than no_COVID-network. Perceived from conflicts family/friends formed unique community negative cognition suicidal idea COVID-network only. Conclusion findings indicate specific interventions targeting interpersonal as well facilitating buffering effects may represent effective strategies reduce psychological distress should be considered for future preparedness.

Language: Английский

Citations

3
Centrality and bridge connections between cognitive emotion regulation strategies and professional identity among Chinese undergraduate nursing students: a network analysis DOI

Jingya Liu,

Haoran Zhang, Siyu Tao

et al.

Nurse Education in Practice, Journal Year: 2024, Volume and Issue: 80, P. 104151 - 104151

Published: Sept. 26, 2024

Language: Английский

Citations

3
Echoes of Strain: A Two-Year Longitudinal Study on the Impact of China’s Zero-COVID Policy on College Students’ Insomnia and Depressive Symptoms DOI Creative Commons
Shujian Wang, Xinyuan Zou, Qihui Tang

et al.

Nature and Science of Sleep, Journal Year: 2025, Volume and Issue: Volume 17, P. 81 - 96

Published: Jan. 1, 2025

In China, stringent and long-lasting infection control measures, which were called "dynamic zero-COVID policy", have significantly affected the mental health of college students, particularly concerning depressive insomnia symptoms. This study aims to investigate how symptoms evolved among Chinese students throughout pandemic, including beginning end dynamic policy period. We conducted a 2-years longitudinal survey involving 1102 collecting data at three key time points. Depressive assessed using Patient Health Questionnaire-9, measured with Youth Self-rating Insomnia Scale-8. Three contemporaneous symptom networks two cross-lagged panel constructed. current sample, prevalence clinically significant was 6.1%, 8.9%, 7.7% during first, second, third waves, respectively. The 8.1%, 13.0%, 14.1%. Over time, severity network density increased, persisting least one year after pandemic measures ended. "Difficulty initiating sleep" bridged disorders, while "anhedonia" played pivotal role in triggering sustaining other underscores lasting impact evolving on elucidating underlying interaction mechanisms. There is pressing need for more comprehensive evaluation implementation restrictive public policies, taking into account their potential long-term consequences.

Language: Английский

Citations

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