Network analysis of mental health problems among adults in Addis Ababa, Ethiopia: a community-based study during the COVID-19 pandemic

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

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Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students

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

Published: Feb. 21, 2024

A better understanding of the structure relations among insomnia and anxiety, mood, eating, alcohol-use disorders is needed, given its prevalence young adults. Supervised machine learning provides ability to evaluate discriminative accuracy psychiatric associated with insomnia. Combined Bayesian network analysis, directionality between symptoms their associations may be illuminated.

Language: Английский

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Long-Term Emotional Impact of the COVID-19 Pandemic and Barriers and Facilitators to Digital Mental Health Tools in Long-Term Care Workers: Qualitative Study

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e47546 - e47546

Published: May 29, 2024

Background The overall pandemic created enormous pressure on long-term care workers (LTCWs), making them particularly vulnerable to mental disorders. Despite this, most of the available evidence professional well-being during COVID-19 has exclusively focused frontline health workers. Objective This study aimed identify psychological needs LTCWs derived from and explore barriers facilitators related digital tools. is part a project that seeks develop intervention reduce distress in this population group. Methods We performed qualitative with rapid research approach. Participants were autonomous community Catalonia. conducted 30 semistructured interviews between April September 2022. used content analysis method an inductive-deductive Results period highest burden was outbreak, almost all having experienced some form emotional distress. Emotional persisted over time more than half participants, fatigue nervousness being main emotions expressed at interview. High workload, feeling times are not over, poor working conditions have remained since then been frequently determinants such emotions. Potential engagement tools also identified terms previous experience beliefs target population, possibilities for integration tool into daily life, preferences regarding level guidance, possibility social connectedness through tool, privacy confidentiality. factors may become especially relevant context remission phase. Conclusions More 2 years after still relevant. persistent points need institutions take action improve promote employees’ well-being. Considering act as use tools, it important tailored could offer valuable support pandemic.

Language: Английский

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Psychopathology symptoms of frontline nurses under sudden public health crisis: A network analysis

Stress and Health, Journal Year: 2024, Volume and Issue: 40(5)

Published: July 24, 2024

Abstract Public health crises can significantly impact the emotional well‐being of healthcare workers. Network analysis is a novel approach to exploring interactions between mental disorders at symptom level. This study aimed elucidate characteristics post‐traumatic stress disorder (PTSD), anxiety, depression, and insomnia symptoms network among frontline nurses under sudden public crisis. A cross‐sectional survey was conducted online 556 through convenience sampling in Hubei Province, China, from 21 February 2020, 10 March 2020. Symptoms PTSD, were assessed by Post‐Traumatic Stress Disorder Checklist (PCL‐5), Generalized Anxiety scale (GAD‐7), Patient Health Questionnaire (PHQ‐9) Insomnia Severity Index, respectively. Central (the most important symptoms, activation has strongest influence other nodes) bridge (nodes where deactivation prevent spreading one another) identified via centrality indices, stability examined using case‐dropping procedure. We found that correlation PHQ‐9 item 9 ‘suicidal thoughts’ PCL‐5 16 ‘reckless or self‐destructive behaviour’ strongest. Moreover, central symptom, 3 ‘sleep problems’ symptom. Other major included GAD‐7 6 ‘uncontrollable anxiety’ 2 ‘depressed sad mood’. Timely, systemic targeting interventions on may effectively alleviate co‐occurring experiences psychopathological nurses.

Language: Английский

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Lessons learned during the health crisis caused by COVID-19 in the work of the nursing professional: A systematic review

F1000Research, Journal Year: 2024, Volume and Issue: 12, P. 777 - 777

Published: Nov. 4, 2024

The health crisis caused by COVID-19 impacted the dynamics of work professionals, specifically in nursing professionals who were aware essential need for care and a safe environment to reduce in-hospital risks mortality indicators. The study aimed analyze scientific evidence on lessons learned during professional, analysis articles published between 2020 2023 Scopus databases, obtaining total 30 articles. findings show that there is adopt contingency policies respond crises, as well establish apply coping strategies avoid impact their mental health. Additionally, it important recognize role society. In conclusion, must be developed ensure safety well-being prevent crises like one COVID-19. Furthermore, value fundamental disease prevention society continue developing support crises.

Language: Английский

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