The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study
Open accessAbstract
This multicenter cohort study investigated the differences between coronavirus disease 2019 (COVID-19) related symptoms and post-COVID symptoms between male and female COVID-19 survivors. Clinical and hospitalization data were collected from hospital medical records in a sample of individuals recovered from COVID-19 at five public hospitals in Spain. A predefined list of post-COVID symptoms was systematically assessed, but patients were free to report any symptom. Anxiety/depressive levels and sleep quality were also assessed. Adjusted multivariate logistic regressions were used to identify the association of sex with post-COVID related-symptoms. A total of 1969 individuals (age: 61, SD: 16 years, 46.4% women) were assessed 8.4 months after discharge. No overall significant sex differences in COVID-19 onset symptoms at hospital admission were found. Post-COVID symptoms were present in up to 60% of hospitalized COVID-19 survivors eight months after the infection. The number of post-COVID symptoms was 2.25 for females and 1.5 for males. After adjusting by all variables, female sex was associated with ≥3 post-COVID symptoms (adj OR 2.54, 95%CI 1.671–3.865, p < 0.001), the presence of post-COVID fatigue (adj OR 1.514, 95%CI 1.040–2.205), dyspnea (rest: adj OR 1.428, 95%CI 1.081–1.886, exertion: adj OR 1.409, 95%CI 1.109–1.791), pain (adj OR 1.349, 95%CI 1.059–1.720), hair loss (adj OR 4.529, 95%CI 2.784–7.368), ocular problems (adj OR 1.981, 95%CI 1.185–3.312), depressive levels (adj OR 1.606, 95%CI 1.002–2.572) and worse sleep quality (adj OR 1.634, 95%CI 1.097–2.434). Female sex was a risk factor for the development of some long-term post-COVID symptoms including mood disorders. Healthcare systems should consider sex differences in the management of long haulers.
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1 retracted
RETRACTED: 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study
Huang, C., Huang, L., Wang, Y., Li, X., Ren, L., Gu, X., Kang, L., Guo, L., Liu, M., Zhou, X., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32656-8 · Cited by 4,084
RetractedThe Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
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More than 50 long-term effects of COVID-19: a systematic review and meta-analysis
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Cited by
Notarte, K. I., de Oliveira, M. H. S., Peligro, P. J., Velasco, J. V., Macaranas, I., Ver, A. T., Pangilinan, F. C., Pastrana, A., Goldrich, N., Kavteladze, D., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11247314 · Cited by 209
Self-citationChudzik, M., Babicki, M., Kapusta, J., Kałuzińska-Kołat, Ż., Kołat, D., Jankowski, P., & Mastalerz-Migas, A. (2022) · Viruses · doi:10.3390/v14081755 · Cited by 65
Metadata
- Authors
- Fernández-de-las-Peñas, C., Martín-Guerrero, J. D., Pellicer-Valero, Ó. J., Navarro-Pardo, E., Gómez-Mayordomo, V., Cuadrado, M. L., Arias-Navalón, J. A., Cigarán-Méndez, M., Hernández-Barrera, V., & Arendt-Nielsen, L.
- Venue
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Published
- 2022-01-14
- Volume
- 11
- Issue
- 2
- Pages
- 413
- ISSN
- 2077-0383 (ISSN-L)
- OpenAlex
- W4205140567
- Cited by
- 303
- References
- 47
- FWCI
- 33.02
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Fernández-de-las-Peñas, C., Martín-Guerrero, J. D., Pellicer-Valero, Ó. J., Navarro-Pardo, E., Gómez-Mayordomo, V., Cuadrado, M. L., Arias-Navalón, J. A., Cigarán-Méndez, M., Hernández-Barrera, V., & Arendt-Nielsen, L. (2022). Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study. Journal of Clinical Medicine. https://doi.org/10.3390/jcm11020413
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.