Evidence map›Paper›PMID 28298273›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2017

Challenges and Lessons Learned in Generating and Interpreting NHANES Nutritional Biomarker Data.

Christine M Pfeiffer, David A Lacher, Rosemary L Schleicher, Clifford L Johnson, Elizabeth A Yetley

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

  1. Article
  2. Impact of Daily Rhythms and Postprandial Responses on the Plasma Metabolome.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Association between serum vitamin BThe British journal of nutrition · 2026
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  13. Review
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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

5 authors.

Christine M PfeifferNational Center for Environmental Health, CDC, Atlanta, GA; cfp8@cdc.gov.
David A LacherNational Center for Health Statistics, CDC, Hyattsville, MD; and.
Rosemary L SchleicherNational Center for Environmental Health, CDC, Atlanta, GA.
Clifford L JohnsonNational Center for Health Statistics, CDC, Hyattsville, MD; and.
Elizabeth A YetleyOffice of Dietary Supplements, NIH, Bethesda, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past 45 y, the National Center for Health Statistics at the CDC has carried out nutrition surveillance of the US population by collecting anthropometric, dietary intake, and nutritional biomarker data, the latter being the focus of this publication. The earliest biomarker testing assessed iron and vitamin A status. With time, a broad spectrum of water- and fat-soluble vitamins was added and biomarkers for other types of nutrients (e.g., fatty acids) and bioactive dietary compounds (e.g., phytoestrogens) were included in NHANES. The cross-sectional survey is flexible in design, and biomarkers may be measured for a short period of time or rotated in and out of surveys depending on scientific needs. Maintaining high-quality laboratory measurements over extended periods of time such that trends in status can be reliably assessed is a major goal of the testing laboratories. Physicians, health scientists, and policy makers rely on the NHANES reference data to compare the nutritional status of population groups, to assess the impact of various interventions, and to explore associations between nutritional status and health promotion or disease prevention. Focusing on the continuous NHANES, which started in 1999, this review uses a "lessons learned" approach to present a series of challenges that are relevant to researchers measuring biomarkers in NHANES and beyond. Some of those challenges are the use of multiple related biomarkers instead of a single biomarker for a specific nutrient (e.g., folate, vitamin B-12, iron), adhering to special needs for specimen collection and handling to ensure optimum specimen quality (e.g., vitamin C, folate, homocysteine, iodine, polyunsaturated fatty acids), the retrospective use of long-term quality-control data to correct for assay shifts (e.g., vitamin D, vitamin B-12), and the proper planning for and interpretation of crossover studies to adjust for systematic method changes (e.g., folate, vitamin D, ferritin).

Indexed as

Databases, FactualNutrition SurveysBiomarkersDietHumansMicronutrientsNutritional StatusBiomarkersMicronutrientsbiochemical indicatorbiological specimencutofffat-soluble vitaminiron-status indicatornational nutrition surveywater-soluble vitamin

Identifiers

PMID28298273
PMCPMC5347107

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.