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      Associations between plant-based dietary patterns and risks of type 2 diabetes, cardiovascular disease, cancer, and mortality – a systematic review and meta-analysis

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          Abstract

          Background

          Plant-based dietary patterns are gaining more attention due to their potential in reducing the risk of developing major chronic diseases, including type 2 diabetes (T2D), cardiovascular disease (CVD), cancer, and mortality, while an up-to-date comprehensive quantitative review is lacking. This study aimed to summarize the existing prospective observational evidence on associations between adherence to plant-based dietary patterns and chronic disease outcomes.

          Methods

          We conducted a systematic review and meta-analysis of evidence across prospective observational studies. The data sources used were PubMed and MEDLINE, Embase, Web of Science, and screening of references. We included all prospective observational studies that evaluated the association between adherence to plant-based dietary patterns and incidence of T2D, CVD, cancer, and mortality among adults (≥ 18 years).

          Results

          A total of 76 publications were identified, including 2,230,443 participants with 60,718 cases of incident T2D, 157,335 CVD cases, 57,759 cancer cases, and 174,435 deaths. An inverse association was observed between higher adherence to a plant-based dietary pattern and risks of T2D (RR, 0.82 [95% CI: 0.77–0.86]), CVD (0.90 [0.85–0.94]), cancer (0.91 [0.87–0.96]), and all-cause mortality (0.84 [0.78–0.92]) with moderate to high heterogeneity across studies ( I 2 ranged: 47.8–95.4%). The inverse associations with T2D, CVD and cancer were strengthened when healthy plant-based foods, such as vegetables, fruits, whole grains, and legumes, were emphasized in the definition of plant-based dietary patterns (T2D: 0.79 [0.72–0.87]; CVD: 0.85 [0.80–0.92]; cancer: 0.86 [0.80–0.92]; I 2 ranged: 53.1–84.1%). Association for mortality was largely similar when the analyses were restricted to healthy plant-based diets (0.86 [0.80–0.92], I 2 = 91.9%). In contrast, unhealthy plant-based diets were positively associated with these disease outcomes. Among four studies that examined changes in dietary patterns, increased adherence to plant-based dietary patterns was associated with a significantly reduced risk of T2D (0.83 [0.71–0.96]; I 2 = 71.5%) and a marginally lower risk of mortality (0.95 [0.91–1.00]; I 2 = 0%).

          Conclusions

          Better adherence to plant-based dietary patterns, especially those emphasizing healthy plant-based foods, is beneficial for lowering the risks of major chronic conditions, including T2D, CVD, cancer, as well as premature deaths.

          Registration of review protocol

          This review was registered at the PROSPERO International Prospective Register of Systematic Reviews ( https://www.crd.york.ac.uk/PROSPERO/) with the registration number CRD42022290202.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12937-023-00877-2.

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          Most cited references72

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          Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

          Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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            Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

            Because of the pressure for timely, informed decisions in public health and clinical practice and the explosion of information in the scientific literature, research results must be synthesized. Meta-analyses are increasingly used to address this problem, and they often evaluate observational studies. A workshop was held in Atlanta, Ga, in April 1997, to examine the reporting of meta-analyses of observational studies and to make recommendations to aid authors, reviewers, editors, and readers. Twenty-seven participants were selected by a steering committee, based on expertise in clinical practice, trials, statistics, epidemiology, social sciences, and biomedical editing. Deliberations of the workshop were open to other interested scientists. Funding for this activity was provided by the Centers for Disease Control and Prevention. We conducted a systematic review of the published literature on the conduct and reporting of meta-analyses in observational studies using MEDLINE, Educational Research Information Center (ERIC), PsycLIT, and the Current Index to Statistics. We also examined reference lists of the 32 studies retrieved and contacted experts in the field. Participants were assigned to small-group discussions on the subjects of bias, searching and abstracting, heterogeneity, study categorization, and statistical methods. From the material presented at the workshop, the authors developed a checklist summarizing recommendations for reporting meta-analyses of observational studies. The checklist and supporting evidence were circulated to all conference attendees and additional experts. All suggestions for revisions were addressed. The proposed checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion. Use of the checklist should improve the usefulness of meta-analyses for authors, reviewers, editors, readers, and decision makers. An evaluation plan is suggested and research areas are explored.
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              Atherosclerosis — An Inflammatory Disease

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                Author and article information

                Contributors
                qisun@hsph.harvard.edu
                Journal
                Nutr J
                Nutr J
                Nutrition Journal
                BioMed Central (London )
                1475-2891
                4 October 2023
                4 October 2023
                2023
                : 22
                : 46
                Affiliations
                [1 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Nutrition, , Harvard T.H. Chan School of Public Health, ; 677 Huntington Avenue, Boston, MA 02115 USA
                [2 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, , University of Chinese Academy of Sciences, Chinese Academy of Sciences, ; Shanghai, China
                [3 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Epidemiology, , Harvard T.H. Chan School of Public Health, ; Boston, MA USA
                [4 ]GRID grid.38142.3c, ISNI 000000041936754X, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, , Harvard Medical School, ; Boston, MA USA
                Article
                877
                10.1186/s12937-023-00877-2
                10548756
                37789346
                41c736f4-0910-4deb-a963-f9a32ce9da50
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 May 2023
                : 21 September 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Award ID: DK126698, DK127601, DK119268, DK120870, HL035464, HL060712, and T32 HL 098048
                Categories
                Review
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Nutrition & Dietetics
                systematic review,meta-analysis,plant-based dietary patterns,type 2 diabetes,cardiovascular disease,cancer,mortality

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