Evidence map›Paper›PMID 37315793›Full record

ArticleThe Journal of nutrition2023

Macular Pigment Optical Density and Skin Carotenoids in a Childhood Sample.

Corinne N Cannavale, Shelby A Keye, Laura M Rosok, Shelby G Martell, Tori A Holthaus, Lauren R Raine, Sean P Mullen, Hannah D Holscher, Charles H Hillman, Arthur F Kramer and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Corinne N CannavaleDepartment of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL.
Shelby A KeyeDepartment of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL.
Laura M RosokNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL.
Shelby G MartellNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL.
Tori A HolthausDivision of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL.
Lauren R RaineCenter for Cognitive and Brain Health, Northeastern University, Boston, MA; Department of Physical Activity, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA; Department of Medical Sciences, Northeastern University, Boston, MA.
Sean P MullenDepartment of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL; Beckman Institute for the Advancement of Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL; Informatics Programs, University of Illinois Urbana-Champaign, Urbana, IL; Center for Social and Behavioral Sciences, University of Illinois Urbana-Champaign, Urbana, IL.
Hannah D HolscherDivision of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL.
Charles H HillmanCenter for Cognitive and Brain Health, Northeastern University, Boston, MA; Department of Physical Activity, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA; Department of Psychology, Northeastern University, Boston, MA.
Arthur F KramerCenter for Cognitive and Brain Health, Northeastern University, Boston, MA; Department of Psychology, Northeastern University, Boston, MA; Beckman Institute for the Advancement of Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL.
Neal J CohenNeuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL; Department of Psychology, University of Illinois Urbana-Champaign, Urbana, IL; Interdisciplinary Health Science Institute, University of Illinois Urbana-Champaign, Urbana, IL.
Billy R HammondDepartment of Psychology, University of Georgia, Athens, GA.
Lisa Renzi-HammondCollege of Public Health, University of Georgia, Athens, GA.
Naiman A KhanDepartment of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL; Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL; Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL; Beckman Institute for the Advancement of Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL. Electronic address: nakhan2@illinois.edu.
University of Illinois Urbana-Champaign · USNortheastern University · USUniversity of Georgia · US

Funding

Enhancing Children's Cognitive Function and Achievement through Carotenoid ConsumptionR01HD097332 · NICHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI KHAN, NAIMAN · 2021 to 2025
$2.9M
NICHD NIH HHS R01 HD097332
6 · The paper itself

Abstract

backgroundCarotenoids are plant pigments with light filtering and antioxidant properties that deposit in human tissues, including retina and skin. Descriptive characteristics and covariates of carotenoid status in macula and skin have been examined in adults; however, similar studies in children are limited. Thus, this study aimed to delineate how factors of age, sex, race, weight status, and dietary carotenoid intake relate to macular and skin carotenoids in children.

methodsChildren (7-13 y, N = 375) completed heterochromatic flicker photometry to assess macular pigment optical density (MPOD). Participants underwent anthropometrics to measure weight status (BMI percentile [BMI%]), and parent/guardian provided demographic information. Subsample data were available for skin carotenoids (N = 181), assessed using reflection spectroscopy, and dietary carotenoids (N = 101) using the Block Food Frequency Questionnaire. Relationships between skin and macular carotenoids were assessed using partial Pearson's correlations controlling for age, sex, race, and BMI%. Relationships between dietary carotenoids and macular and skin carotenoids were assessed using stepwise linear regression including age, sex, race, and BMI% in the model.

resultsMean MPOD was 0.56 ± 0.22 and skin carotenoid score was 282 ± 94.6. There was no significant correlation between MPOD and skin carotenoids (r = 0.02, P = 0.76). BMI% was negatively associated with skin (stdβ = -0.42, P < 0.001), but not macular carotenoids (stdβ = -0.04, P = 0.70). Neither MPOD nor skin carotenoids were associated with age, sex, or race (all P > 0.10). MPOD was positively associated with energy-adjusted reported lutein + zeaxanthin intake (stdβ = 0.27, P = 0.01). Skin carotenoids were positively associated with energy-adjusted reported carotenoid intake (stdβ = 0.26, P = 0.01).

conclusionsThe mean MPOD values in children were higher than what has been reported in adult populations. Previous studies in adult samples report an average MPOD of 0.21. Although macular and skin carotenoids were not related, they were associated with dietary carotenoids relevant to the respective tissues; however, skin carotenoids may be more susceptible negative influence from higher weight status.

Indexed as

Macula LuteaMacular PigmentAdultChildHumansLuteinRetinaZeaxanthinsLuteinMacular PigmentZeaxanthinshumansluteinobesityxanthophyllszeaxanthin

Identifiers

PMID37315793
PMCPMC10613722
OpenAlexW4380366722

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.