Comparative Efficacy of Olive Oil vs. Rapeseed Oil Supplemented Diets for the Improvement of Type 2 Diabetes
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Comparative Efficacy of Olive Oil vs. Rapeseed Oil Supplemented Diets for the Improvement of Type 2 Diabetes

Zhuyi Gao 1*
1 University of Wisconsin-Stout
*Corresponding author: 1033273731@qq.com
Published on 23 October 2025
Journal Cover
TNS Vol.144
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-80590-441-0
ISBN (Online): 978-1-80590-442-7
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Abstract

Type 2 diabetes (T2D) is a widespread health problem, especially in the elderly. Dietary strategies are essential for effective glycemic regulation and extra virgin olive oil is considered to improve insulin sensitivity and reduce inflammation, which could offer more advantages than other vegetable oils. This study examined the differential effects of EVOO and rapeseed oil supplementation on glycemic control and metabolic risk factors in 38 elderly Chinese women with T2D. The main detection indicators were FPG and HbA1c; and the secondary testing indicators were postprandial glucose, fasting insulin, HOMA-IR, lipid profile, and C-reactive protein. The results showed that EVOO had more significant advantages than rapeseed oil in improving blood glucose control and cardiovascular risk markers in elderly patients with type 2 diabetes.

Keywords:

Type 2 diabetes, Extra virgin olive oil, Rapeseed oil, Glycemic control, Insulin resistance

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Gao,Z. (2025). Comparative Efficacy of Olive Oil vs. Rapeseed Oil Supplemented Diets for the Improvement of Type 2 Diabetes. Theoretical and Natural Science,144,51-55.

References

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Cite this article

Gao,Z. (2025). Comparative Efficacy of Olive Oil vs. Rapeseed Oil Supplemented Diets for the Improvement of Type 2 Diabetes. Theoretical and Natural Science,144,51-55.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICBioMed 2025 Symposium: AI for Healthcare: Advanced Medical Data Analytics and Smart Rehabilitation

ISBN: 978-1-80590-441-0(Print) / 978-1-80590-442-7(Online)
Editor: Alan Wang
Conference date: 17 October 2025
Series: Theoretical and Natural Science
Volume number: Vol.144
ISSN: 2753-8818(Print) / 2753-8826(Online)