ArticleBrain sciences2023
Network Analysis of Anxiety Symptoms in Front-Line Medical Staff during the COVID-19 Pandemic.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- Mapping the Symptom Networks of Depression, Anxiety, and Their Comorbidity Among Chinese Individuals Under Community Correction.Psychiatry investigation · 2026Article
- Anxiety and depression subtypes and their psychotherapy response: A network analysis of 33,675 patients.Psychological medicine · 2026Article
- Network analysis of suicidal tendency and mental health symptoms in college students: a gender-differences comparison.BMC psychology · 2026Article
- Complex temporal dynamics of mental health indicators: A longitudinal network approach perspective.Psychological medicine · 2025Article
- Network Analysis and Mediation Effect Analysis of Anxiety Symptoms and Sleep Patterns for Adolescents.Actas espanolas de psiquiatria · 2025Article
- Elucidating the relationship between burnout and sleep disturbances among firefighters: a network analysis.BMC public health · 2025Article
- Mapping Connection and Direction Among Symptoms of Sleep Disturbance and Perceived Stress in Firefighters: Embracing the Network Analysis Perspective.Nature and science of sleep · 2025Article
- Article
- Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder.BMC psychiatry · 2024Article
- Network analysis of anxiety and cognitive impairment among mental healthcare workers.Frontiers in psychiatry · 2024Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThis research analyses the relations between anxiety symptoms from the network perspective to deepen the understanding of anxiety in front-line medical staff during the COVID-19 pandemic and can also provide a reference for determining potential goals of clinical interventions.
methodsA convenience sampling was adopted, and the Generalized Anxiety Disorder 7-item scale (GAD-7) was administered to front-line medical staff through online platforms. A regularized partial correlation network of anxiety was constructed and then we evaluated its accuracy and stability. The expected influence and predictability were used to describe the relative importance and the controllability, using community detection to explore community structure. The gender-based differences and the directed acyclic graph were implemented.
resultsThe connections between A1 "Feeling nervous, anxious or on edge" and A2 "Not being able to stop or control worrying", A6 "Becoming easily annoyed or irritable" and A7 "Feeling afraid as if something awful might happen", etc., were relatively strong; A2 "Not being able to stop or control worrying" and A3 "Worrying too much about different things" had the highest expected influence, and A2 "Not being able to stop or control worrying" had the highest predictability. The community detection identified two communities. The results of the gender network comparison showed the overall intensity of the anxiety network in women was higher than that in men; DAG indicated that A2 "Not being able to stop or control worrying" had the highest probabilistic priority; the lines from A2 "Not being able to stop or control worrying" to A1 "Feeling nervous, anxious or on edge" and A2 "Not being able to stop or control worrying" to A7 "Feeling afraid as if something awful might happen" represented the most important arrows.
conclusionThere exist broad interconnections among anxiety symptoms of front-line medical staff on the GAD-7. A2 "Not being able to stop or control worrying" might be the core symptom and a potential effective intervention target. It was possible to bring an optimal result for the entire GAD symptom network by interfering with A2 "Not being able to stop or control worrying". GAD may have two "subsystems". The modes of interconnection among anxiety may be consistent between genders.
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