Evidence map›Paper›PMID 40041674›Full record

ArticleJournal of diabetes and metabolic disorders2025

Investigating the association between major dietary patterns and disease outcomes in diabetic and non-diabetic patients with COVID-19: a cross-sectional study.

Atefeh Amrollahi, Zahra Hariri, Tahereh Sabaghian, Saeid Kalbasi, Omid Nikpayam, Golbon Sohrab

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Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Atefeh AmrollahiDepartment of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zahra HaririDepartment of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Tahereh SabaghianDepartment of Adult Nephrology, School of Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saeid KalbasiDepartment of Endocrinology, School of Medicine, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Omid NikpayamDepartment of Nutrition, School of Health, Golestan University of Medical Sciences, Gorgan, Iran.ORCID 0000-0002-6301-1597
Golbon SohrabDepartment of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Cross-sectional studyDiabetesDietary patterns

Identifiers

PMID40041674
PMCPMC11872832

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