Evidence Hub

Association of priori dietary patterns with metabolic syndrome and its components: a systematic review and meta-analysis

Fan M, Hao L, Wu Q, Wang X, Lin G, Zhang Z, Gao B

Frontiers in nutrition, 2026

Abstract

Background: Metabolic syndrome (MetS) poses an increasing threat to global health. Dietary patterns are recognized as modifiable factors related to MetS, but evidence on the associations of a priori dietary patterns with MetS remains inconsistent across studies.

Methods: Embase, Web of Science, and PubMed were systematically searched up to March 20, 2025. Observational studies (cross-sectional, cohort, case-control) exploring the associations of a priori dietary patterns with MetS were included. The Joanna Briggs Institute tool and the Newcastle-Ottawa Scale were applied to assess the study quality. The certainty of the pooled evidence was assessed via the Grading of Recommendations Assessment, Development and Evaluation approach. A random-effects model was adopted to combine effect sizes.

Results: Thirty-nine studies were incorporated. Categorical analyses showed that higher dietary inflammatory index (DII) was associated with higher prevalence of MetS (odds ratio [OR] [95% confidence interval (CI)]: 1.33 [1.23-1.43], p p p p = 0.001).

Conclusion: A priori dietary patterns are closely associated with MetS. Promoting anti-inflammatory, antioxidant-rich, and Mediterranean-style eating patterns may be associated with lower prevalence of MetS, which could provide potential implications for the prevention and management of MetS. However, causal inference remains limited, and further prospective studies and trials are needed.

Systematic review registration: Unique identifier:…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free