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Long COVID symptoms and sleep problems: a population-based study.
Letícia, Anna; Neves, Rosália Garcia; Vieira, Yohana Pereira; Gonzales, Tatiane Nogueira; Marochi, Melissa; Reis, Rodrigo Zopellaro; Machado, Karla Pereira; Duro, Suele Manjourany Silva; de Oliveira Saes, Mirelle.
Afiliação
  • Letícia A; Faculty of Medicine, Federal University of the Rio Grande, Rio Grande, Brazil.
  • Neves RG; State Health Department, Pelotas, Brazil.
  • Vieira YP; Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Brazil.
  • Gonzales TN; Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Brazil.
  • Marochi M; Postgraduate Program in Collective Health, Federal University of Acre, Rio Branco, Brazil.
  • Reis RZ; Faculty of Medicine, Federal University of the Rio Grande, Rio Grande, Brazil.
  • Machado KP; Faculty of Medicine, Federal University of the Rio Grande, Rio Grande, Brazil.
  • Duro SMS; Postgraduate Program in Nutrition and Foods, Federal University of Pelotas, Pelotas, Brazil.
  • de Oliveira Saes M; Postgraduate Program in Nursing, Federal University of Pelotas, Pelotas, Brazil.
J Sleep Res ; : e14327, 2024 Sep 05.
Article em En | MEDLINE | ID: mdl-39237107
ABSTRACT
To investigate the association between symptoms of long-term effects of coronavirus disease 2019 (long COVID) and sleep problems in a sample population from southern Brazil. This cross-sectional study used data from the SULcovid-19 survey, developed in the municipality of Rio Grande, RS, Brazil. The outcome, long COVID, was investigated through the presence of 18 symptoms, and the exposure variable was sleep problems. Poisson regression with robust adjustment for variance was used to estimate crude and adjusted prevalence ratios for the outcome-exposure relationship. Odds ratio was calculated through multinomial regression of the relationship between the number of symptoms of long COVID and sleep problems. Analyses were adjusted for sex, age, marital status, income, body mass index, smoking status, comorbidities, and hospital admission. A total of 2919 adults and older adults were interviewed. The prevalence of long COVID was 48.3% (95% confidence interval [CI] 46.5-50.1%) and sleep problems were reported by 41.2% of the sample (95% CI 39.4-43.0%). Individuals with sleep problems were more likely to exhibit altered sensitivity (prevalence ratio [PR] 3.27; 95% CI 1.96-5.45), nasal congestion (PR 2.75; 95% CI 1.53-4.94), musculoskeletal symptoms (PR 1.75; 95% CI 1.48-2.06), respiratory issues (PR 1.58; 95% CI 1.24-2.01), and one or more symptom of long COVID (PR 1.27; 95% CI 1.15-1.39). Approximately one-half of the population analysed had long COVID, and four of 10 reported experiencing sleep problems. In addition, the sample tended to have experienced a greater number of symptoms compared with those who reported to sleep well.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Sleep Res Assunto da revista: PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Sleep Res Assunto da revista: PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido