SynthesisNutrients2019
Dietary Patterns and Metabolic Syndrome in Adult Subjects: A Systematic Review and Meta-Analysis.
Synthesis in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
86 citing papers in PubMed, 3 syntheses or guidelines pooled it, 146 citations in OpenAlex.
- Association of priori dietary patterns with metabolic syndrome and its components: a systematic review and meta-analysis.Frontiers in nutrition · 2026Pooled it
- Combined lifestyle factors and metabolic syndrome risk: a systematic review and meta-analysis.International journal of obesity (2005) · 2025Pooled it
- Pooled it
- Trial
- Association between dietary patterns and metabolic syndrome and its components in quilombola women: A population-based cross-sectional study in Alagoas, Northeast Brazil.BMC nutrition · 2026Article
- Integrating dietary patterns and metabolomics with machine learning for metabolic syndrome risk assessment in a rural population.NPJ science of food · 2026Article
- Gender-specific associations of diet quality and dietary patterns with metabolic syndrome: evidence from Korea National Health and Nutrition Examination Survey (KNHANES) VI.Nutrition & metabolism · 2026Article
- Inverse associations between the dietary diabetes risk reduction score and dietary phytochemical index with metabolic syndrome and its components: a cross-sectional analysis of the Fasa adult cohort study in rural Iran.BMC endocrine disorders · 2026Article
- Patterns and clusters of diet in relation to metabolic syndrome among adults in Ubungo (urban) and Kilindi (rural) districts, Tanzania: a cross-sectional study.BMC public health · 2026Article
- Effects of Kochia scoparia seed infusion on calorie-rich diet-induced metabolic dysfunction and histopathological alterations in liver, adipose tissue and coronaries in rats.Journal of molecular histology · 2026Article
- Article
- Dietary patterns and their associations with obesity among 4-9-year-old children in the United Arab Emirates: A cross-sectional study.PloS one · 2026Article
- Association of dietary acid load with diabetes and glucose metabolism index in Chinese adults: a cross-sectional study.Food & nutrition research · 2026Article
- Nutrition and Psoriasis: The Latest Evidence and How to Approach Nutrition in Clinical Practice.American journal of clinical dermatology · 2026Review
- The Effect ofInternational journal of food science · 2026Review
- Gender disparities in complex association of metabolic syndrome with dietary habits and lifestyle risk factors in Chinese population.Scientific reports · 2025Article
- Systematic review and meta-analysis of health outcomes following diabetes risk reduction diet (DRRD).Journal of diabetes and metabolic disorders · 2025Review
- Association of World Index for Sustainability and Health Score with metabolic syndrome in Iranian adults from the PERSIAN Dena cohort study.Scientific reports · 2025Article
- The Role of Diet in Women of Childbearing Age: Current Evidence Supporting Nutritional Recommendations.Nutrients · 2025Review
- Dietary Consumption of Type 2 Resistant Starch and d-Fagomine Delays Progression of Metabolic Disturbances in Male Rats on High-Fat Diet.Molecular nutrition & food research · 2025Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic Syndrome (MetS) constitutes a relevant public health burden. Several studies have demonstrated the association between diet and MetS. We performed a systematic review and meta-analysis to provide an estimate of the association between dietary patterns defined through a posteriori methods and MetS. A literature search on PubMed, Web of Science, and Scopus databases, up to March 2019, was conducted to identify all eligible case-control, prospective, or cross-sectional studies involving adult subjects of both sexes. Random-effects models were used. Heterogeneity and publication bias were evaluated. Stratified analyses were conducted on study characteristics. Forty observational studies were included in the meta-analysis, which identified the "Healthy" and the "Meat/Western" dietary patterns. The "Healthy" pattern was associated with reduced MetS risk (OR = 0.85; 95% confidence interval (CI): 0.79-0.91) and significantly decreased the risk in both sexes and in Eastern countries, particularly in Asia. Adherence to the "Meat/Western" pattern increased MetS risk (OR = 1.19; 95% CI: 1.09-1.29) and the association persisted in the stratified analysis by geographic area (Asia, Europe, America) and study design. Lifestyle is linked to risk of developing MetS. The "Healthy" and "Meat/Western" patterns are significantly associated with reduced and increased MetS risk, respectively. Nutrition represents an important modifiable factor affecting MetS risk.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.