Evidence map›Paper›PMID 28678528›Full record

ReviewCritical reviews in food science and nutrition2018

21st century toolkit for optimizing population health through precision nutrition.

Aifric O'Sullivan, Bethany Henrick, Bonnie Dixon, Daniela Barile, Angela Zivkovic, Jennifer Smilowitz, Danielle Lemay, William Martin, J Bruce German, Sara Elizabeth Schaefer

Open access · greenAbstract readReview
In one paragraph

Review in Critical reviews in food science and nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Monosodium glutamate: A hidden risk factor for obesity?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Connected Health Technology for Cardiovascular Disease Prevention and Management.Current treatment options in cardiovascular medicine · 2019
    Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Aifric O'Sullivana University College Dublin , Dublin , Ireland.
Bethany Henrickb Foods for Health Institute , University of California , Davis , USA.
Bonnie Dixonb Foods for Health Institute , University of California , Davis , USA.
Daniela Barilec Food Science and Technology , University of California , Davis , USA.
Angela Zivkovicd Department of Nutrition , University of California , Davis , USA.
Jennifer Smilowitzb Foods for Health Institute , University of California , Davis , USA.
Danielle Lemayf Nutritional Biology , University of California , Davis , USA.
William Marting University of California , Davis , USA.
J Bruce Germanh Department of Food Science and Technology , University of California , Davis , USA.
Sara Elizabeth Schaeferb Foods for Health Institute , University of California , Davis , USA.
University of California, Davis · USUniversity College Dublin · IEWestern Human Nutrition Research Center · US

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
NIEHS NIH HHS P01 ES011269NIEHS NIH HHS P42 ES004699
6 · The paper itself

Abstract

Scientific, technological, and economic progress over the last 100 years all but eradicated problems of widespread food shortage and nutrient deficiency in developed nations. But now society is faced with a new set of nutrition problems related to energy imbalance and metabolic disease, which require new kinds of solutions. Recent developments in the area of new analytical tools enable us to systematically study large quantities of detailed and multidimensional metabolic and health data, providing the opportunity to address current nutrition problems through an approach called Precision Nutrition. This approach integrates different kinds of "big data" to expand our understanding of the complexity and diversity of human metabolism in response to diet. With these tools, we can more fully elucidate each individual's unique phenotype, or the current state of health, as determined by the interactions among biology, environment, and behavior. The tools of precision nutrition include genomics, metabolomics, microbiomics, phenotyping, high-throughput analytical chemistry techniques, longitudinal tracking with body sensors, informatics, data science, and sophisticated educational and behavioral interventions. These tools are enabling the development of more personalized and predictive dietary guidance and interventions that have the potential to transform how the public makes food choices and greatly improve population health.

Indexed as

Health PromotionNutritional StatusDietHumansNutritional SciencesNutrition Therapybig datafood science and technologyphenotypingPrecision nutrition

Identifiers

PMID28678528
PMCPMC6309929
OpenAlexW2725395698

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.