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Dietary Patterns and Risk of Stroke in Adults: A Systematic Review and Meta-analysis of Prospective Cohort Studies.

Abstract

BACKGROUND

The effect of whole diet on the development of stroke has recently achieved much interest by various prospective studies, but with inconclusive results. Herein, we carried this meta-analysis to identify the potential associations between different dietary patterns and the risk of stroke by pooling available data from existing studies.

METHODS

PubMed and EBSCO were searched for pertinent articles that identify dietary patterns published from January 1991 to November 2014, with the following keywords: dietary pattern, dietary patterns, food pattern, eating pattern, alcohol drinking, alcohol consumption, and stroke.

RESULTS

A total of 21 studies met the inclusion criteria and were included in this meta-analysis. A decreased risk of stroke was shown for the highest compared with the lowest categories of healthy dietary pattern (odds ratio [OR] = .77; 95% confidence interval [CI] = .63-.93; P < .00001) and light-moderate drinking pattern (OR = .80; 95% CI = .72-.90; P = .0002). There was evidence of the increase in the risk of stroke in the highest compared with heavy alcohol-drinking pattern (OR = 1.25; 95% CI = 1.17-1.33; P < .00001), whereas no significant association with Western-style dietary pattern was observed (OR = 1.05; 95% CI = .82-1.35; P = .70).

CONCLUSIONS

The results of this meta-analysis indicated that some dietary patterns may be associated with the risk of stroke.

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  • Publisher Full Text
  • Authors+Show Affiliations

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    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

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    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

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    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

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    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

    ,

    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

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    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

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    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

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    Department of Neurological Internal Medicine, Zhejiang Hospital, Hangzhou, Zhejiang, China.

    Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China; Department of Digestion, Zhejiang Hospital, Hangzhou, Zhejiang, China. Electronic address: kuaidou09@163.com.

    Source

    MeSH

    Adult
    Alcohol Drinking
    Cohort Studies
    Databases, Bibliographic
    Diet
    Feeding Behavior
    Humans
    Risk Factors
    Stroke

    Pub Type(s)

    Journal Article
    Meta-Analysis
    Research Support, Non-U.S. Gov't
    Review
    Systematic Review

    Language

    eng

    PubMed ID

    26232888

    Citation

    Zhang, Xiaoyan, et al. "Dietary Patterns and Risk of Stroke in Adults: a Systematic Review and Meta-analysis of Prospective Cohort Studies." Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association, vol. 24, no. 10, 2015, pp. 2173-82.
    Zhang X, Shu L, Si C, et al. Dietary Patterns and Risk of Stroke in Adults: A Systematic Review and Meta-analysis of Prospective Cohort Studies. J Stroke Cerebrovasc Dis. 2015;24(10):2173-82.
    Zhang, X., Shu, L., Si, C., Yu, X., Gao, W., Liao, D., ... Zheng, P. (2015). Dietary Patterns and Risk of Stroke in Adults: A Systematic Review and Meta-analysis of Prospective Cohort Studies. Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association, 24(10), pp. 2173-82. doi:10.1016/j.jstrokecerebrovasdis.2015.05.035.
    Zhang X, et al. Dietary Patterns and Risk of Stroke in Adults: a Systematic Review and Meta-analysis of Prospective Cohort Studies. J Stroke Cerebrovasc Dis. 2015;24(10):2173-82. PubMed PMID: 26232888.
    * Article titles in AMA citation format should be in sentence-case
    TY - JOUR T1 - Dietary Patterns and Risk of Stroke in Adults: A Systematic Review and Meta-analysis of Prospective Cohort Studies. AU - Zhang,Xiaoyan, AU - Shu,Long, AU - Si,Caijuan, AU - Yu,Xiaolong, AU - Gao,Wei, AU - Liao,Dan, AU - Zhang,Lun, AU - Liu,Xiaoli, AU - Zheng,Peifen, Y1 - 2015/07/29/ PY - 2015/04/10/received PY - 2015/05/12/revised PY - 2015/05/14/accepted PY - 2015/8/3/entrez PY - 2015/8/4/pubmed PY - 2016/7/9/medline KW - Dietary patterns KW - a meta-analysis KW - alcohol drinking KW - stroke SP - 2173 EP - 82 JF - Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association JO - J Stroke Cerebrovasc Dis VL - 24 IS - 10 N2 - BACKGROUND: The effect of whole diet on the development of stroke has recently achieved much interest by various prospective studies, but with inconclusive results. Herein, we carried this meta-analysis to identify the potential associations between different dietary patterns and the risk of stroke by pooling available data from existing studies. METHODS: PubMed and EBSCO were searched for pertinent articles that identify dietary patterns published from January 1991 to November 2014, with the following keywords: dietary pattern, dietary patterns, food pattern, eating pattern, alcohol drinking, alcohol consumption, and stroke. RESULTS: A total of 21 studies met the inclusion criteria and were included in this meta-analysis. A decreased risk of stroke was shown for the highest compared with the lowest categories of healthy dietary pattern (odds ratio [OR] = .77; 95% confidence interval [CI] = .63-.93; P < .00001) and light-moderate drinking pattern (OR = .80; 95% CI = .72-.90; P = .0002). There was evidence of the increase in the risk of stroke in the highest compared with heavy alcohol-drinking pattern (OR = 1.25; 95% CI = 1.17-1.33; P < .00001), whereas no significant association with Western-style dietary pattern was observed (OR = 1.05; 95% CI = .82-1.35; P = .70). CONCLUSIONS: The results of this meta-analysis indicated that some dietary patterns may be associated with the risk of stroke. SN - 1532-8511 UR - https://www.unboundmedicine.com/medline/citation/26232888/full_citation L2 - https://linkinghub.elsevier.com/retrieve/pii/S1052-3057(15)00321-3 DB - PRIME DP - Unbound Medicine ER -