Zhanxin Yao1,2, Yeqing Gu2, Qing Zhang3, Li Liu3, Ge Meng2, Hongmei Wu2, Yang Xia2, Xue Bao2, Hongbin Shi3, Shaomei Sun3, Xing Wang3, Ming Zhou3, Qiyu Jia3, Yuntang Wu2, Kun Song3, Weina Gao1, Changjiang Guo4, Kaijun Niu5. 1. Department of Nutrition, Tianjin Institute of Health and Environmental Medicine, No. 1, Dali Road, Heping District, Tianjin, 300050, China. 2. Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. 3. Health Management Center, Tianjin Medical University General Hospital, Tianjin, 300050, China. 4. Department of Nutrition, Tianjin Institute of Health and Environmental Medicine, No. 1, Dali Road, Heping District, Tianjin, 300050, China. guocjtj@126.com. 5. Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. nkj0809@gmail.com.
Abstract
PURPOSE: Quercetin is one of potential antidiabetic substances because of its powerful antioxidant and anti-inflammatory actions. The purpose of this study is to estimate daily quercetin intake and assess the relationship between dietary quercetin intake and the prevalence of type 2 diabetes mellitus (T2DM) in a Chinese population. METHODS: Dietary intake was investigated by a validated 100-item food frequency questionnaire. Daily intakes of quercetin and nutrients were calculated accordingly. T2DM was diagnosed based on the criteria of the American Diabetes Association. Adjusted logistic regression models were used to analyze the relationship between the quartiles of quercetin intake and the prevalence of T2DM. RESULTS: The prevalences of T2DM were 8.35% in men and 4.68% in women. The main food sources of quercetin were apple, orange, and green tea. Daily intake of quercetin was 20.9 ± 2.32 mg/day (mean ± SD). After adjusting for potentially confounding factors, the odds ratios (95% CI) for T2DM across the ascending quartiles of quercetin intake were: 1.00 (reference), 0.75 (0.60-0.95), 0.76 (0.59-0.99), and 0.63 (0.51-0.94). CONCLUSIONS: The results of the present study showed that quercetin intake was inversely related to the prevalence of T2DM in the Chinese population, suggesting a protective effect of quercetin in the development of T2DM.
PURPOSE:Quercetin is one of potential antidiabetic substances because of its powerful antioxidant and anti-inflammatory actions. The purpose of this study is to estimate daily quercetin intake and assess the relationship between dietary quercetin intake and the prevalence of type 2 diabetes mellitus (T2DM) in a Chinese population. METHODS: Dietary intake was investigated by a validated 100-item food frequency questionnaire. Daily intakes of quercetin and nutrients were calculated accordingly. T2DM was diagnosed based on the criteria of the American Diabetes Association. Adjusted logistic regression models were used to analyze the relationship between the quartiles of quercetin intake and the prevalence of T2DM. RESULTS: The prevalences of T2DM were 8.35% in men and 4.68% in women. The main food sources of quercetin were apple, orange, and green tea. Daily intake of quercetin was 20.9 ± 2.32 mg/day (mean ± SD). After adjusting for potentially confounding factors, the odds ratios (95% CI) for T2DM across the ascending quartiles of quercetin intake were: 1.00 (reference), 0.75 (0.60-0.95), 0.76 (0.59-0.99), and 0.63 (0.51-0.94). CONCLUSIONS: The results of the present study showed that quercetin intake was inversely related to the prevalence of T2DM in the Chinese population, suggesting a protective effect of quercetin in the development of T2DM.
Entities:
Keywords:
Chinese population; Cross-sectional study; Quercetin; Type 2 diabetes mellitus
Authors: Qi Sun; Nicole M Wedick; Shelley S Tworoger; An Pan; Mary K Townsend; Aedin Cassidy; Adrian A Franke; Eric B Rimm; Frank B Hu; Rob M van Dam Journal: J Nutr Date: 2015-04-22 Impact factor: 4.687
Authors: Roland Dyck; Chandima Karunanayake; Punam Pahwa; Louise Hagel; Josh Lawson; Donna Rennie; James Dosman Journal: BMC Public Health Date: 2013-01-05 Impact factor: 3.295
Authors: Limei Wang; Birgit Waltenberger; Eva-Maria Pferschy-Wenzig; Martina Blunder; Xin Liu; Clemens Malainer; Tina Blazevic; Stefan Schwaiger; Judith M Rollinger; Elke H Heiss; Daniela Schuster; Brigitte Kopp; Rudolf Bauer; Hermann Stuppner; Verena M Dirsch; Atanas G Atanasov Journal: Biochem Pharmacol Date: 2014-07-30 Impact factor: 5.858
Authors: Bright Asare-Bediako; Sunil K Noothi; Sergio Li Calzi; Baskaran Athmanathan; Cristiano P Vieira; Yvonne Adu-Agyeiwaah; Mariana Dupont; Bryce A Jones; Xiaoxin X Wang; Dibyendu Chakraborty; Moshe Levi; Prabhakara R Nagareddy; Maria B Grant Journal: Cells Date: 2020-02-18 Impact factor: 6.600