COVID-19 后患者的身体成分和体育锻炼水平

Wendell C. Bila, Andresa Machado e Silva, Leonardo Gomides Bicalho, Ronilson Cândido, Jeniffer Rafaela Silva Costa, José Vitor Vieira Salgado, C. G. Campos, Ana Carolina C. Café, Priscila Cristian do Amaral, R. L. Novais, Joel Alves Lamounier, Eduardo Sérgio da Silva
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Body composition is an important nutritional indicator, knowledge of which allows the subdivision of body weight into some components, mainly lean mass or fat-free mass and body fat mass of individuals. \nAim: To evaluate lean mass and body fat in post-COVID-19 patients, correlating them with length of stay, pre-hospitalization and post-hospitalization and patients' level of physical activity, specifying relative segmental fat. \nMethodology: Observational, cross-sectional study, with quantitative analysis, with a convenience sample, approved by the Research Ethics Committee of the State University of Minas Gerais. Patients undergoing care/rehabilitation in the physiotherapy/outpatient sector at a Regional Rehabilitation Center, with a history of diagnosis of COVID-19, aged 20 years or over, of both sexes, were invited to participate in the research. Lean body mass (LBM) and body fat (BF) were obtained by evaluating horizontal tetrapolar electrical bioimpedance (BIA). 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摘要

导言2019 年冠状病毒病(COVID-19)大流行引发了一场公共卫生危机。身体成分是一项重要的营养指标,了解身体成分可将体重细分为若干部分,主要是个体的瘦体重或无脂肪体重和体脂肪。目的:评估 COVID-19 后患者的瘦体重和体脂肪,并将其与住院时间、住院前和住院后以及患者的体力活动水平相关联,同时明确相对的分段脂肪。研究方法观察性横断面研究,定量分析,方便抽样,经米纳斯吉拉斯州立大学研究伦理委员会批准。邀请在地区康复中心的物理治疗/门诊部接受治疗/康复的患者参与研究,这些患者均有 COVID-19 诊断史,年龄在 20 岁或以上,男女不限。瘦体重(LBM)和体脂(BF)是通过评估水平四极电生物阻抗(BIA)获得的。通过测量皮褶厚度收集体脂分段。体力活动水平(PAL)通过国际体力活动问卷(IPAQ)获得。住院史通过填写登记表获得。结果对 20 名患者的数据进行了分析。发现平均 LBM 为 69.7%,BF 为 30.3%。久坐的生活方式与 LBM 之间没有相关性。50%的患者之前患有合并症,50%患有轻度COVID-19感染。10%的患者需要住院治疗和呼吸机支持。85%的患者身体活跃或非常活跃。腹部和髂上部位的体脂较多。结论:事实证明,LBM 优于其他已开展的研究,而且在 LBM 与住院史、病后时间和 PAL 之间没有发现统计学意义上的显著相关性。腹部和髂上部位的脂肪含量最高,这两个部位是炎症的重要原因,也是各种疾病(尤其是心血管疾病)的危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Body Composition and Level of Physical Activity in Post-COVID-19 Patients
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has created a public health crisis. Body composition is an important nutritional indicator, knowledge of which allows the subdivision of body weight into some components, mainly lean mass or fat-free mass and body fat mass of individuals. Aim: To evaluate lean mass and body fat in post-COVID-19 patients, correlating them with length of stay, pre-hospitalization and post-hospitalization and patients' level of physical activity, specifying relative segmental fat. Methodology: Observational, cross-sectional study, with quantitative analysis, with a convenience sample, approved by the Research Ethics Committee of the State University of Minas Gerais. Patients undergoing care/rehabilitation in the physiotherapy/outpatient sector at a Regional Rehabilitation Center, with a history of diagnosis of COVID-19, aged 20 years or over, of both sexes, were invited to participate in the research. Lean body mass (LBM) and body fat (BF) were obtained by evaluating horizontal tetrapolar electrical bioimpedance (BIA). Body fat segmentation was collected by measuring skinfold thickness. Physical activity level (PAL) was obtained using the International Physical Activity Questionnaire (IPAQ). The hospitalization history was obtained by filling out the registration form. Results: Data from 20 patients were analyzed. The average LBM found was 69.7% and 30.3% of BF. There was no correlation between sedentary lifestyle and LBM. 50% of patients had previous comorbidities and 50% had a mild form of COVID-19 infection. 10% required hospitalization and ventilator support. 85% were physically active or very active. There was a greater presence of body fat in the abdominal and suprailiac region. Conclusion: LBM proved to be superior to other studies carried out and no statistically significant correlation was found between LBM and history of hospitalization, time elapsed since illness and PAL. The regions with the greatest share of body fat were abdominal and suprailiac, important for inflammatory reasons and risk factors for various diseases, especially cardiovascular diseases.
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