Academic Journal

Network analysis of depression, anxiety, and stress symptoms in Brazilian nursing workers.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Network analysis of depression, anxiety, and stress symptoms in Brazilian nursing workers.
Συγγραφείς: Santin Júnior LJ; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil., Ribeiro IKDS; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil., Oliveira SA; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil., Barreto MFC; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil., Oliveira ACGM; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil., Borges MRV; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil., Fernandes SJD; Universidade Católica Portuguesa. Lisboa, Portugal., Rocha FLR; Universidade de São Paulo. Ribeirão Preto, São Paulo, Brazil.
Πηγή: Revista brasileira de enfermagem [Rev Bras Enferm] 2026 Sep 25; Vol. 79, pp. e20250675. Date of Electronic Publication: 2026 Sep 25 (Print Publication: 2026).
Τύπος έκδοσης: Journal Article
Γλώσσα: English; Portuguese
Στοιχεία περιοδικού: Publisher: Associacao Brasileira de Enfermagem Country of Publication: Brazil NLM ID: 7910105 Publication Model: eCollection Cited Medium: Internet ISSN: 1984-0446 (Electronic) Linking ISSN: 00347167 NLM ISO Abbreviation: Rev Bras Enferm Subsets: MEDLINE
Imprint Name(s): Publication: Brasilia : Associacao Brasileira de Enfermagem
Original Publication: Brasilia [s.n.]
Ιατρικοί όροι (MeSH): Nurses*/psychology , Depression*/diagnosis , Depression*/epidemiology , Depression*/psychology , Anxiety*/diagnosis , Anxiety*/epidemiology , Anxiety*/psychology , Occupational Stress*/diagnosis , Occupational Stress*/epidemiology , Occupational Stress*/psychology , Symptom Assessment*/methods, Brazil/epidemiology ; Psychometrics ; Humans ; Regression Analysis
Περίληψη: Objectives: to explore the network structure of depression, anxiety, and stress symptoms among Brazilian nursing workers.
Methods: cross-sectional study using nonprobability sampling. Participants were 4,053 nursing workers. Symptoms of depression, anxiety, and stress were assessed using the Depression Anxiety Stress Scales-21. Data were analyzed using psychological network analysis, applying a partial correlation model with LASSO regularization method. Node centrality was assessed using strength, closeness, and betweenness indices.
Results: the symptoms with the highest strength centrality were "I felt that I was using a lot of nervous energy," "I was unable to become enthusiastic about anything," and "I felt I was close to panic." The symptom "I felt that I was using a lot of nervous energy" showed the highest closeness and betweenness indices.
Conclusions: the identified central symptoms may play a structuring role in the activation of other symptoms and may help guide strategies to prevent and manage psychological distress among nursing workers.
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Entry Date(s): Date Created: 20261001 Date Completed: 20261002 Latest Revision: 20261005
Update Code: 20261005
PubMed Central ID: PMC13619155
DOI: 10.1590/0034-7167-2025-0675
PMID: 42820592
Βάση Δεδομένων: MEDLINE