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      A posteriori dietary patterns and their association with systemic low-grade inflammation in adults: a systematic review and meta-analysis

      1 , 2 , 3 , 4 , 5
      Nutrition Reviews
      Oxford University Press (OUP)

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          Abstract

          Context

          A posteriori dietary patterns are promising ways of uncovering potential public health strategies for the prevention of systemic, low-grade, inflammation-related, chronic noncommunicable diseases.

          Objective

          To investigate and summarize the current evidence on the association between a posteriori dietary patterns and systemic, low-grade inflammation in adults.

          Data sources

          MEDLINE, EMBASE, Web of Science, and LILACS were searched.

          Data extraction

          Data screening, extraction, and quality assessment were performed independently by 2 investigators. Meta-analysis with random effects was conducted. Differences and similarities between reduced rank regression–derived dietary patterns were assessed.

          Results

          Healthy dietary patterns are inversely and the Western dietary pattern is positively associated with inflammation (r = −0.13, 95% confidence interval −0.20 to −0.06; and r = 0.11, 95% confidence interval, 0.09–0.12, respectively). Reduced rank regression–derived anti-inflammatory dietary patterns are consistently characterized by high intake of fresh fruits and inflammatory dietary patterns are consistently characterized by high intake of red and processed meat and low intake of vegetables.

          Conclusion

          Favoring the substitution of a Westernized diet for a healthy diet may lower inflammation, which might improve the prevention of some chronic noncommunicable diseases.

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          Most cited references48

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          Measuring inconsistency in meta-analyses.

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            Meta-analysis of Observational Studies in EpidemiologyA Proposal for Reporting

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              Dietary pattern analysis: a new direction in nutritional epidemiology.

              Frank Hu (2002)
              Recently, dietary pattern analysis has emerged as an alternative and complementary approach to examining the relationship between diet and the risk of chronic diseases. Instead of looking at individual nutrients or foods, pattern analysis examines the effects of overall diet. Conceptually, dietary patterns represent a broader picture of food and nutrient consumption, and may thus be more predictive of disease risk than individual foods or nutrients. Several studies have suggested that dietary patterns derived from factor or cluster analysis predict disease risk or mortality. In addition, there is growing interest in using dietary quality indices to evaluate whether adherence to a certain dietary pattern (e.g. Mediterranean pattern) or current dietary guidelines lowers the risk of disease. In this review, we describe the rationale for studying dietary patterns, and discuss quantitative methods for analysing dietary patterns and their reproducibility and validity, and the available evidence regarding the relationship between major dietary patterns and the risk of cardiovascular disease.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Nutrition Reviews
                Oxford University Press (OUP)
                0029-6643
                1753-4887
                March 01 2021
                February 11 2021
                May 17 2020
                March 01 2021
                February 11 2021
                May 17 2020
                : 79
                : 3
                : 331-350
                Affiliations
                [1 ]Norde Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, SP 01246-904, Brazil
                [2 ]Department of Preventive Medicine, Medical School, University of Sao Paulo, Sao Paulo, SP, Brazil
                [3 ]Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
                [4 ]Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
                [5 ]Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, SP Brazil
                Article
                10.1093/nutrit/nuaa010
                32417914
                432700f1-3165-4dff-b6e6-36d4abc729f8
                © 2020

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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