Evidence map›Paper›PMID 25022993›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2014

Considering the value of dietary assessment data in informing nutrition-related health policy.

James R Hébert, Thomas G Hurley, Susan E Steck, Donald R Miller, Fred K Tabung, Karen E Peterson, Lawrence H Kushi, Edward A Frongillo

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

88 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Experience Sampling as a dietary assessment method: a scoping review towards implementation.The international journal of behavioral nutrition and physical activity · 2024
    Article
  16. Article
  17. Article
  18. Dietary Pattern and Cancer.Cancer treatment and research · 2024
    Review
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

James R HébertDepartments of Epidemiology and Biostatistics and Cancer Prevention and Control Program, and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC; jhebert@sc.edu.
Thomas G HurleyDepartments of Epidemiology and Biostatistics and.
Susan E SteckDepartments of Epidemiology and Biostatistics and Cancer Prevention and Control Program, and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC;
Donald R MillerDepartment of Health Policy and Management, Boston University School of Public Health, Boston, MA; Center for Healthcare Organization and Implementation Research, Bedford Veterans Affairs Medical Center, Bedford, MA;
Fred K TabungDepartments of Epidemiology and Biostatistics and Cancer Prevention and Control Program, and.
Karen E PetersonHuman Nutrition Program, Department of Environmental Health Sciences, School of Public Health and Center for Human Growth and Development, University of Michigan, Ann Arbor, MI; Department of Nutrition, Harvard School of Public Health, Boston, MA.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, CA; and School of Medicine, University of California, Davis, Sacramento, CA.
Edward A FrongilloHealth Promotion, Education, and Behavior, Arnold School of Public Health, Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, SC;

Funding

Expanding Mentoring Capacity in High-Risk PopulationsK05CA136975 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HEBERT, JAMES R · 2009 to 2013
$801k
Dietary Inflammatory Index and Risk of Cancer in WomenF31CA177255 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TABUNG, FRED KINYUY · 2013 to 2013
$37k
NCI NIH HHS F31 CA177255NCI NIH HHS K05 CA136975
6 · The paper itself

Abstract

Dietary assessment has long been known to be challenged by measurement error. A substantial amount of literature on methods for determining the effects of error on causal inference has accumulated over the past decades. These methods have unrealized potential for improving the validity of data collected for research studies and national nutritional surveillance, primarily through the NHANES. Recently, the validity of dietary data has been called into question. Arguments against using dietary data to assess diet-health relations or to inform the nutrition policy debate are subject to flaws that fall into 2 broad areas: 1) ignorance or misunderstanding of methodologic issues; and 2) faulty logic in drawing inferences. Nine specific issues are identified in these arguments, indicating insufficient grasp of the methods used for assessing diet and designing nutritional epidemiologic studies. These include a narrow operationalization of validity, failure to properly account for sources of error, and large, unsubstantiated jumps to policy implications. Recent attacks on the inadequacy of 24-h recall-derived data from the NHANES are uninformative regarding effects on estimating risk of health outcomes and on inferences to inform the diet-related health policy debate. Despite errors, for many purposes and in many contexts, these dietary data have proven to be useful in addressing important research and policy questions. Similarly, structured instruments, such as the food frequency questionnaire, which is the mainstay of epidemiologic literature, can provide useful data when errors are measured and considered in analyses.

Indexed as

DietDiet SurveysHealthNutritional StatusNutrition AssessmentNutrition PolicyEpidemiologic StudiesHumans

Identifiers

PMID25022993
PMCPMC4085192

What OpenQuestion holds

Textmetadata
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.