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
Faculty of Medicine, Federal University of the Rio Grande, Rio Grande, Brazil.
State Health Department, Pelotas, Brazil.
J Sleep Res. 2025 Apr;34(2):e14327. doi: 10.1111/jsr.14327. Epub 2024 Sep 5.
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.
为了调查巴西南部一个样本群体中2019冠状病毒病长期影响症状（长新冠）与睡眠问题之间的关联。这项横断面研究使用了在巴西南里奥格兰德州里奥格兰德市开展的SULcovid-19调查的数据。通过18种症状的存在情况来调查长新冠这一结果，暴露变量为睡眠问题。采用对方差进行稳健调整的泊松回归来估计结果-暴露关系的粗患病率比和调整患病率比。通过长新冠症状数量与睡眠问题之间关系的多项回归计算比值比。分析针对性别、年龄、婚姻状况、收入、体重指数、吸烟状况、合并症和住院情况进行了调整。共采访了2919名成年人及老年人。长新冠的患病率为48.3%（95%置信区间[CI]46.5-【此处原文有乱码，疑似重复内容，按照原文翻译为】50.1%），41.2%的样本报告有睡眠问题（95%CI 39.4-43.0%）。有睡眠问题的个体更有可能出现感觉异常（患病率比[PR]3.27；95%CI 1.96-5.45）、鼻塞（PR 2.75；95%CI 1.53-4.94）、肌肉骨骼症状（PR 1.75；95%CI 1.48-2.06）、呼吸问题（PR 1.58；95%CI 1.24-2.01）以及一种或多种长新冠症状（PR 1.27；95%CI 1.15-1.39）。分析的人群中约一半患有长新冠，十分之四报告有睡眠问题。此外，与报告睡眠良好的人相比，该样本往往出现的症状更多。
