ArticleAdvances in nutrition (Bethesda, Md.)2015
Understanding nutritional epidemiology and its role in policy.
Article in Advances in nutrition (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 227 papers, 19 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
227 citing papers in PubMed, 19 syntheses or guidelines pooled it.
- Endocrine-Immune Crosstalk in Pediatric Autoimmune Diseases: A Systematic Review of the Role of Micronutrients, with Emphasis on Vitamin D.Nutrients · 2026Pooled it
- Dietary intake and circulating levels of vitamins, antioxidants, and fatty acids in relation to coronary heart disease risk: a systematic review and dose-response meta-analysis.Frontiers in 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
- Evaluating agreement between individual nutrition randomised controlled trials and cohort studies - a meta-epidemiological study.BMC medicine · 2025Pooled it
- Dietary patterns and insomnia symptoms: A systematic review and meta-analysis.Sleep medicine reviews · 2024Pooled it
- Evidence-Based Dietary Practices to Improve Osteoarthritis Symptoms: An Umbrella Review.Nutrients · 2023Pooled it
- The effects of dietary patterns and food groups on symptomatic osteoarthritis: A systematic review.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2023Pooled it
- Unhealthy Food and Beverage Consumption during Childhood and Risk of Cardiometabolic Disease: A Systematic Review of Prospective Cohort Studies.The Journal of nutrition · 2023Pooled it
- Dietary eating patterns, dairy consumption, and anxiety: A systematic literature review.PloS one · 2023Pooled it
- Dietary Assessment Methods to Estimate (Poly)phenol Intake in Epidemiological Studies: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2021Pooled it
- Investigating sex differences in the accuracy of dietary assessment methods to measure energy intake in adults: a systematic review and meta-analysis.The American journal of clinical nutrition · 2021Pooled it
- Dietary Sodium Intake and Health Indicators: A Systematic Review of Published Literature between January 2015 and December 2019.Advances in nutrition (Bethesda, Md.) · 2020Pooled it
- A systematic review of reviews identifying UK validated dietary assessment tools for inclusion on an interactive guided website for researchers: www.nutritools.org.Critical reviews in food science and nutrition · 2020Pooled it
- Biomarkers of Whole-Grain and Cereal-Fiber Intake in Human Studies: A Systematic Review of the Available Evidence and Perspectives.Nutrients · 2019Pooled it
- Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations.Nutrients · 2019Pooled it
- Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials.The American journal of clinical nutrition · 2018Pooled it
- Systematic review of statistical approaches to quantify, or correct for, measurement error in a continuous exposure in nutritional epidemiology.BMC medical research methodology · 2017Pooled it
- Effect of Varying Quantities of Lean Beef as Part of a Mediterranean-Style Dietary Pattern on Gut Microbiota and Plasma, Fecal, and Urinary Metabolites: A Randomized Crossover Controlled Feeding Trial.Journal of the American Heart Association · 2025Trial
167 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.
Funding
Abstract
Nutritional epidemiology has recently been criticized on several fronts, including the inability to measure diet accurately, and for its reliance on observational studies to address etiologic questions. In addition, several recent meta-analyses with serious methodologic flaws have arrived at erroneous or misleading conclusions, reigniting controversy over formerly settled debates. All of this has raised questions regarding the ability of nutritional epidemiologic studies to inform policy. These criticisms, to a large degree, stem from a misunderstanding of the methodologic issues of the field and the inappropriate use of the drug trial paradigm in nutrition research. The exposure of interest in nutritional epidemiology is human diet, which is a complex system of interacting components that cumulatively affect health. Consequently, nutritional epidemiology constantly faces a unique set of challenges and continually develops specific methodologies to address these. Misunderstanding these issues can lead to the nonconstructive and sometimes naive criticisms we see today. This article aims to clarify common misunderstandings of nutritional epidemiology, address challenges to the field, and discuss the utility of nutritional science in guiding policy by focusing on 5 broad questions commonly asked of the field.
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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.