ReviewAdvances in nutrition (Bethesda, Md.)2016
Foods, Nutrients, and Dietary Patterns: Interconnections and Implications for Dietary Guidelines.
Review in Advances in nutrition (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 369 papers, 20 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
369 citing papers in PubMed, 20 syntheses or guidelines pooled it, 682 citations in OpenAlex.
- Empirically derived dietary patterns and prostate cancer risk: a systematic review and meta-analysis of prospective cohorts.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2026Pooled it
- Sustainable dietary recommendations for the Spanish population.European journal of clinical nutrition · 2026Pooled it
- What Do Australians Eat? A Systematic Review of Dietary Patterns and Adverse Health Outcomes.Nutrition reviews · 2025Pooled it
- Pooled it
- Dietary Approaches to Stop Hypertension (DASH) for the primary and secondary prevention of cardiovascular diseases.The Cochrane database of systematic reviews · 2025Pooled it
- Dietary patterns and colorectal cancer risk: Global Cancer Update Programme (CUP Global) systematic literature review.The American journal of clinical nutrition · 2025Pooled it
- Are Major a Posteriori Dietary Patterns Reproducible in the Italian Population? A Systematic Review and Quantitative Assessment.Advances in nutrition (Bethesda, Md.) · 2024Pooled it
- Pooled it
- Diet Quality and Risk of SARS-CoV-2 Infection or COVID-19: A Systematic Review of Observational Studies.Advances in nutrition (Bethesda, Md.) · 2023Pooled it
- Pooled it
- Genetically Predicted Vegetable Intake and Cardiovascular Diseases and Risk Factors: An Investigation with Mendelian Randomization.Nutrients · 2023Pooled it
- The Effect of Non-Oil Seed Legume Intake on Blood Pressure: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Advances in nutrition (Bethesda, Md.) · 2023Pooled it
- Pooled it
- Dietary Patterns under the Influence of Rotational Shift Work Schedules: A Systematic Review and Meta-Analysis.Advances in nutrition (Bethesda, Md.) · 2023Pooled it
- Pooled it
- Whole Dietary Patterns, Cognitive Decline and Cognitive Disorders: A Systematic Review of Prospective and Intervention Studies.Nutrients · 2023Pooled it
- Dietary Patterns and Non-Communicable Disease Biomarkers: A Network Meta-Analysis and Nutritional Geometry Approach.Nutrients · 2022Pooled it
- Calcium Intake and Metabolism in Infants and Young Children: A Systematic Review of Balance Studies for Supporting the Development of Calcium Requirements.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- Systematic Review on the Potential Effect of Berry Intake in the Cognitive Functions of Healthy People.Nutrients · 2022Pooled it
- Dietary patterns and internalizing symptoms in children and adolescents: A meta-analysis.The Australian and New Zealand journal of psychiatry · 2022Pooled it
309 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
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Dietary guidelines provide evidence-based statements on food choices to meet nutritional requirements and reduce the risk of prevailing chronic disease. They involve a substantial amount of research translation, and their implementation has important health consequences. Foods, however, are complex combinations of nutrients and other compounds that act synergistically within the food and across food combinations. In addition, the evidence base underpinning dietary guidelines accesses research that reflects different study designs, with inherent strengths and limitations. We propose a systematic approach for the review of evidence that begins with research on dietary patterns. This research will identify the combinations of foods that best protect, or appear deleterious to, health. Next, we suggest that evidence be sought from research that focuses on the effects of individual foods. Finally, nutrient-based research should be considered to explain the mechanisms by which these foods and dietary patterns exert their effects, take into account the effects of ingredients added to the food supply, and enable assessments of dietary sufficiency. The consideration of individual nutrients and food components (e.g., upper limits for saturated fat, added sugar, and sodium) provides important benchmarks for evaluating overall diet quality. The concepts of core and discretionary foods (nutrient-rich and nutrient-poor foods, respectively) enable distinctions between foods, and this has implications for the relation between food policy and food manufacturing. In summary, evidence supporting healthy dietary patterns provides the foundation for the development of dietary guidelines. Further reference to individual foods and nutrients follows from the foundation of healthy dietary patterns.
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What OpenQuestion holds
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.