Services on Demand
Journal
Article
Indicators
Cited by SciELO
Access statistics
Related links
Similars in SciELO
Share
Revista Ecuatoriana de Neurología
On-line version ISSN 2631-2581Print version ISSN 1019-8113
Abstract
GRUEZO-REALPE, Presley et al. Insomnia And Associated Factors Among Medical Students Recovering From Acute Covid-19 Infection. Rev Ecuat Neurol [online]. 2023, vol.32, n.2, pp.32-38. ISSN 2631-2581. https://doi.org/10.46997/revecuatneurol32200032.
Introduction:
The SARS-CoV-2 pandemic significantly affected the mental health of a large portion of the population, with sleep disorders, including insomnia, being notable after COVID-19 infection. One of the populations most affected were university students in the healthcare field, which was the focus of our study.
Objective:
To evaluate the relationship between factors associated with insomnia in medical students during the Long-Covid period.
Methods:
Data was collected through a survey that included questions about sociodemographic aspects, health habits, sleep disturbances such as insomnia, and COVID-19 history. The severity of insomnia and subjective sleep quality were measured using the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). Descriptive statistics, Spearman and Kendall correlations, one-way ANOVA, and odds ratios were evaluated.
Results:
A total of 117 students were included in the study, with a mean age of 21.8 ± 1.96 years and 58.1% being female. It was found that 65% of medical students experienced some degree of insomnia, while 78.6% reported difficulty sleeping. The Kendall and Spearman correlation coefficients between PSQI and ISI were 0.49 and 0.55, respectively (p < 0.001). Significant correlations were found between self-reported physical health, emotional health, among others.
Discussion:
The prevalence of subclinical insomnia (39.3%) and moderate sleep difficulty (47%) is noteworthy. Significant correlations were found between insomnia scales, sleep quality, and an inverse correlation with emotional health. Limitations of the study include the use of ordinal and nominal variables, as well as the number of participants. It is recommended to replicate the study with a larger sample size and utilize a longitudinal design to assess the evolution of insomnia and sleep difficulty over time.
Keywords : Sleep disorders; Sleep quality; Insomnia; SARS COV-2; Long COVID.