调查糖尿病和非糖尿病COVID-19患者主要饮食模式与疾病结局之间的关系:一项横断面研究

IF 1.6 Q4 ENDOCRINOLOGY & METABOLISM
Journal of Diabetes and Metabolic Disorders Pub Date : 2025-03-03 eCollection Date: 2025-06-01 DOI:10.1007/s40200-025-01587-8
Atefeh Amrollahi, Zahra Hariri, Tahereh Sabaghian, Saeid Kalbasi, Omid Nikpayam, Golbon Sohrab
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引用次数: 0

摘要

目标:COVID-19大流行是各社会卫生系统面临的重要挑战之一,导致高死亡率。本研究旨在调查糖尿病和非糖尿病患者COVID-19严重程度与饮食模式之间的关系。方法:共218名受试者(糖尿病组108例,非糖尿病组110例)参与横断面研究。根据医院的医疗记录收集人口统计数据、COVID-19结局和生化变量。参与者的饮食摄入量通过168项食物频率问卷(FFQ)进行评估。进行了多变量回归测试,以确定饮食模式与COVID-19严重程度之间的关系。所有统计分析均采用SPSS 21版进行。结果:我们确定了三种主要的饮食模式,包括健康、不健康和传统饮食模式。统计分析表明,糖尿病组健康饮食模式与疾病严重程度呈显著负相关(OR:0.75, 95%CI:0.62-0.89),而坚持不健康饮食模式会增加糖尿病组(OR:1.94, 95%CI:1.56-2.63)和非糖尿病组(OR:1.92, 95%CI:1.27-3.54)的COVID-19严重程度。此外,住院时间与健康饮食模式之间存在间接显著相关(β: -0.253, P: 0.008)。然而,统计分析并没有显示饮食模式和炎症变量之间的实质性关系。结论:根据本研究结果,坚持健康的饮食模式有利于降低COVID-19的严重程度,但不健康的饮食模式会加剧冠状病毒SARS-CoV-2感染患者的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the association between major dietary patterns and disease outcomes in diabetic and non-diabetic patients with COVID-19: a cross-sectional study.

Objectives: The COVID-19 pandemic is one of the important challenges for health systems in various societies which results in high mortality. The present study aimed to investigate the association between the severity of COVID-19 and dietary patterns in diabetic and non-diabetic patients.

Methods: A total of 218 subjects (108 patients in the diabetic group and 110 participants in the non-diabetic group) participated in the present cross-sectional study. Demographic data, COVID-19 outcomes, and biochemical variables were gathered based on the medical records in the hospital. The dietary intake of participants was assessed using a 168-item food frequency questionnaire (FFQ). A multivariate regression test was carried out to determine the association between dietary patterns and severity of COVID-19. All of the statistical analyses were conducted by SPSS version 21.

Results: We determined three major dietary patterns including Healthy, Unhealthy, and Traditional dietary patterns in the current study. Statistical analysis indicated that there was a significant inverse association between Healthy dietary pattern and the severity of disease in the diabetic group (OR:0.75, 95%CI:0.62-0.89), while adherence to an Unhealthy dietary pattern increased the severity of COVID-19 in diabetic (OR:1.94, 95%CI:1.56-2.63), and non-diabetic (OR:1.92, 95%CI:1.27-3.54), groups. In addition, there was an indirect significant association between length of hospitalization and Healthy dietary pattern (Beta: -0.253, P: 0.008). However, statistical analysis didn't demonstrate a substantial relationship between dietary patterns and inflammatory variables.

Conclusion: According to the findings of the current study higher adherence to a Healthy dietary pattern had beneficial effects on the severity of COVID-19, but Unhealthy dietary patterns exacerbate the situation of patients infected with coronavirus SARS-CoV-2.

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来源期刊
Journal of Diabetes and Metabolic Disorders
Journal of Diabetes and Metabolic Disorders Medicine-Internal Medicine
CiteScore
4.80
自引率
3.60%
发文量
210
期刊介绍: Journal of Diabetes & Metabolic Disorders is a peer reviewed journal which publishes original clinical and translational articles and reviews in the field of endocrinology and provides a forum of debate of the highest quality on these issues. Topics of interest include, but are not limited to, diabetes, lipid disorders, metabolic disorders, osteoporosis, interdisciplinary practices in endocrinology, cardiovascular and metabolic risk, aging research, obesity, traditional medicine, pychosomatic research, behavioral medicine, ethics and evidence-based practices.As of Jan 2018 the journal is published by Springer as a hybrid journal with no article processing charges. All articles published before 2018 are available free of charge on springerlink.Unofficial 2017 2-year Impact Factor: 1.816.
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