Evidence map›Paper›PMID 41687787›Full record

ArticleThe Journal of nutrition2026

Reflection Spectroscopy Skin Carotenoids Correlate with Serum Carotenoids in School-Aged Children.

Ruyu Liu, Laura M Rosok, Molly Black, John W Erdman, Naiman A Khan

Abstract read
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Article in The Journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruyu LiuDepartment of Health and Kinesiology, University of Illinois, Urbana, IL, United States.
Laura M RosokDepartment of Neurology, Washington University, St. Louis, MO, United States.
Molly BlackDepartment of Food Science and Human Nutrition, University of Illinois, Urbana, IL, United States.
John W ErdmanDepartment of Food Science and Human Nutrition, University of Illinois, Urbana, IL, United States.
Naiman A KhanDepartment of Health and Kinesiology, University of Illinois, Urbana, IL, United States. Electronic address: nakhan2@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum carotenoids are thought to reflect higher consumption of fruits and vegetables. However, venous blood draws are invasive and not suitable for pediatric populations. Reflection spectroscopy (RS) offers a noninvasive alternative for measuring carotenoids in the skin; however, the relationship between RS-assessed skin carotenoids and serum carotenoids in children remains understudied.

objectivesThis study aimed to test the hypothesis that RS-assessed skin carotenoids would significantly correlate with serum and dietary carotenoids in children.

methodsThis was a cross-sectional study among children (n = 51, 11.0 ± 1.9 y). Serum carotenoids were quantified using high-performance liquid chromatography. Skin carotenoids were assessed using the Veggie Meter, a pressure-mediated RS device. Dietary carotenoids were measured via 7-d food diaries and analyzed using the Nutrition Data Systems for Research software. Height and weight were measured to calculate the BMI percentile. Log transformation was applied to all carotenoid variables to address right-skewness. Pearson's partial correlations were conducted, adjusting for age, sex, and BMI percentile. Benjamini-Hochberg false discovery rate (FDR) correction was applied for multiple comparisons.

resultsMost participants (76%) had a normal BMI percentile for age and sex. Skin carotenoids significantly correlated with serum lycopene (r = 0.31, P = 0.034), β-cryptoxanthin (r = 0.49, P < 0.001), β-carotene (r = 0.75, P < 0.001), lutein (r = 0.45, P = 0.002), zeaxanthin (r = 0.36, P = 0.013), and total carotenoids (r = 0.65, P < 0.001). Skin carotenoids were significantly correlated with several dietary carotenoids, including β-carotene (r = 0.48, P = 0.0095), α-carotene (r = 0.38, P = 0.041), lutein/zeaxanthin (r = 0.37, P = 0.041), and dark green vegetable intake (r = 0.43, P = 0.033). Dietary and serum carotenoids were not significantly correlated with each other after FDR correction.

conclusionsRS-assessed skin carotenoids demonstrated robust correlations with serum carotenoids, supporting their utility as a noninvasive biomarker of carotenoid status in school-aged children.

Indexed as

CarotenoidsSkinSpectrum AnalysisBody Mass IndexChildChromatography, High Pressure LiquidCross-Sectional StudiesDietFemaleFruitHumansLuteinMaleVegetablesZeaxanthinsalpha-caroteneCarotenoidsLuteinZeaxanthinsadolescentsdietary assessmentfruit and vegetable intakepediatricveggie meter

Identifiers

PMID41687787
PMCPMC13084602

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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.