Evidence map›Paper›PMID 42180655›Full record

ArticleCurrent developments in nutrition2026

Dietary Supplement Use Explains More Variance in Nutritional Biomarker Concentrations than 24-Hour Dietary Intake from Food Only: Evidence from a Cross-Sectional Survey of the United States Population (NHANES 2003-2006).

Maya R Sternberg, Christine M Pfeiffer, Carissa D Powers, Naman Ahluwalia, Heather Hamner, Arick Wang, Edwina Wambogo, Jaime J Gahche, WenYen Juan

Erratum issuedAbstract read
In one paragraph

Article in Current developments in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Maya R SternbergCenters for Disease Control and Prevention (CDC), National Center for Environmental Health, Division of Laboratory Sciences, Atlanta, GA, United States.
Christine M PfeifferCenters for Disease Control and Prevention (CDC), National Center for Environmental Health, Division of Laboratory Sciences, Atlanta, GA, United States.
Carissa D PowersCenters for Disease Control and Prevention (CDC), National Center for Environmental Health, Division of Laboratory Sciences, Atlanta, GA, United States.
Naman AhluwaliaCDC, National Center for Health Statistics, Division of Health and Nutrition Examination Surveys, Hyattsville, MD, United States.
Heather HamnerCDC, National Center for Chronic Disease Prevention and Health Promotion, Division of Nutrition, Physical Activity and Obesity, Atlanta, GA, United States.
Arick WangCDC, National Center for Birth Defects and Developmental Disabilities, Division of Birth Defects and Infant Disorders, Atlanta, GA, United States.
Edwina WambogoNational Institutes of Health, Office of Dietary Supplements, Division of Program Coordination, Planning, and Strategic Initiatives, Bethesda, MD, United States.
Jaime J GahcheNational Institutes of Health, Office of Dietary Supplements, Division of Program Coordination, Planning, and Strategic Initiatives, Bethesda, MD, United States.
WenYen JuanFood and Drug Administration, Human Foods Program, College Park, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutritional biomarkers are used as objective measures of nutritional status to inform public health strategies. The relationship between dietary intake and biomarkers varies across population subgroups due to biological, demographic, and behavioral factors. Understanding these differences is important for identifying nutritional interventions. Objectives: We evaluated how sociodemographic, lifestyle, and physiologic factors modify the association between vitamin-specific dietary intake (food and supplements) and selected water- and fat-soluble vitamin biomarkers among US adults aged ≥20 y. Methods: Data were used from the 2003 to 2006 National Health and Nutrition Examination Survey for selected biomarkers [serum folate (SFOL), red blood cell folate (RBF), pyridoxal-5'-phosphate, vitamins B-12, A (VIA), C (VIC), E (VIE), and 25-hydroxyvitamin D] and either vitamin-specific dietary intake (24-h dietary recall) or self-reported supplement use (past 30 d). Demographic, lifestyle, and physiologic variables were: age, sex, race and Hispanic origin, education, poverty level, serum cotinine, alcohol use, physical activity, body mass index, estimated glomerular filtration rate, and serum C-reactive protein. Associations between vitamin-specific intake and biomarkers were assessed using both bivariate analyses and multivariable linear regression models accounting for the clustered sampling design. Results: In unadjusted models, supplement use explained ( Conclusions: These findings highlight the need to include supplement use and account for heterogeneous demographic effects when interpreting intake-biomarker associations in models.

Indexed as

biomarkerdietary intakedietary supplement useintake–biomarkervitamin

Identifiers

PMID42180655
PMCPMC13194625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.