Chronotype and anxiety are associated in patients with chronic primary insomnia

Chronotype and anxiety are associated in patients with chronic primary insomnia

Author Passos, Giselle Soares Autor UNIFESP Google Scholar
Santana, Marcos Gonçalves de Autor UNIFESP Google Scholar
Poyares, Dalva Autor UNIFESP Google Scholar
D'Aurea, Carolina Vicaria Rodrigues Autor UNIFESP Google Scholar
Teixeira, Alexandre Abílio de Souza Autor UNIFESP Google Scholar
Tufik, Sergio Autor UNIFESP Google Scholar
Mello, Marco Tulio de Autor UNIFESP Google Scholar
Abstract Objective: To assess the interaction of chronotype with anxiety in patients with chronic primary insomnia. Methods: Sixty-four patients (50 women) with mean age 43.9 +/- 8.1 years were investigated with the Horne and Ostberg Morningness-Eveningness Questionnaire (MEQ) and State-Trait Anxiety Inventory (STAI). Results: Significant negative correlations of chronotype-MEQ score with STAI state-anxiety (r = -0.40, p < 0.05), STAI trait-anxiety (r = -0.40, p < 0.05), and STAI pre-sleep state anxiety (r = -0.30, p < 0.05) were observed. Eveningness preference was associated with higher trait, state, and pre-sleep state anxiety. Conclusions: These results suggest that chronotype may be an important parameter to identifying the origin and significance of a vicious anxiety-insomnia-depression cycle in patients with chronic primary insomnia.
Keywords Chronotype
State-Trait Anxiety Inventory
xmlui.dri2xhtml.METS-1.0.item-coverage Sao Paulo
Language English
Sponsor Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Associação Fundo de Incentivo à Pesquisa (AFIP)
Centro de Estudos em Psicobiologia e Exercicio (CEPE)
Grant number FAPESP: 98/14303-3
FAPESP: 2008/02862-1
Date 2017
Published in Revista Brasileira De Psiquiatria. Sao Paulo, v. 39, n. 2, p. 183-186, 2017.
ISSN 1516-4446 (Sherpa/Romeo, impact factor)
Publisher Assoc Brasileira Psiquiatria
Extent 183-186
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000403273400016
SciELO ID S1516-44462017000200183 (statistics in SciELO)

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