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- Title
Stroke and food groups: an overview of systematic reviews and meta-analyses.
- Authors
Cuiyu Deng; Qi Lu; Bingyan Gong; Liya Li; Lianxia Chang; Li Fu; Yue Zhao; Deng, Cuiyu; Lu, Qi; Gong, Bingyan; Li, Liya; Chang, Lianxia; Fu, Li; Zhao, Yue
- Abstract
<bold>Objective: </bold>Numerous systematic reviews of prospective studies on the association of stroke risk with the consumption of various food groups have been published. A review of the evidence across the existing systematic reviews and meta-analyses of prospective studies was conducted to provide an overview of the range and validity of the reported associations of food groups with stroke risk.<bold>Design: </bold>The PubMed, EMBASE and Cochrane Library databases were searched for articles published up to September 2015 to identify systematic reviews of prospective studies.<bold>Results: </bold>A total of eighteen studies published from 2008 to 2015 were eligible for analysis. Overall, thirteen specific foods were studied for an association with stroke outcome, including nuts, legumes, fruits and vegetables, refined grains, whole grains, dairy products, eggs, chocolate, red and/or processed meat, fish, tea, sugar-sweetened beverages and coffee. Whereas a high consumption of nuts, fruits, vegetables, dairy foods, fish and tea, and moderate consumption of coffee and chocolate demonstrated a protective effect, a high consumption of red and/or processed meat was associated with increased stroke risk. Refined grain, sugar-sweetened beverage, legume, egg and whole grain intake showed no effect on stroke outcome.<bold>Conclusions: </bold>The current overview provided a high level of evidence to support the beneficial effect of specific foods on stroke outcome. Clinicians and policy makers could inform clinical practice and policy based on this overview.
- Subjects
CHINA; STROKE risk factors; STROKE prevention; VEGETABLES; FRUIT; PUBLIC health; PLANT health; PHYSIOLOGY; EGGS; BEVERAGES; CACAO; COFFEE; DAIRY products; FISHES; GRAIN; INFORMATION storage &; retrieval systems; MEDICAL databases; MEDICAL information storage &; retrieval systems; LEGUMES; MEAT; MEDLINE; META-analysis; NUTRITIONAL requirements; NUTS; ONLINE information services; SYSTEMATIC reviews
- Publication
Public Health Nutrition, 2018, Vol 21, Issue 4, p766
- ISSN
1368-9800
- Publication type
journal article
- DOI
10.1017/S1368980017003093