Evidence map›Paper›PMID 31906259›Full record

ArticleNutrients2020

Determinants and Suitability of Carotenoid Reflection Score as a Measure of Carotenoid Status.

Elaine Rush, Isaac Amoah, Tung Diep, Shabnam Jalili-Moghaddam

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 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

4 authors at 1 institution in 1 country.

Elaine RushFaculty of Health and Environmental Studies, Auckland University of Technology, Auckland 1142, New Zealand.ORCID 0000-0001-7713-6203
Isaac AmoahFaculty of Health and Environmental Studies, Auckland University of Technology, Auckland 1142, New Zealand.ORCID 0000-0002-5342-5825
Tung DiepFaculty of Health and Environmental Studies, Auckland University of Technology, Auckland 1142, New Zealand.
Shabnam Jalili-MoghaddamFaculty of Health and Environmental Studies, Auckland University of Technology, Auckland 1142, New Zealand.
Auckland University of Technology · NZ

Funding

New Zealand Nutrition Foundation NA
6 · The paper itself

Abstract

Carotenoids, orange-coloured pigments found in vegetables, fruit, eggs and dairy foods, act as antioxidants and vitamin A precursors in the human body. Skin carotenoid concentration is a biomarker of vegetable and fruit intake. The aim was to identify determinants of skin carotenoid concentration by measuring "Veggie Meter™" carotenoid reflection spectroscopy scores (CRS) from the fingertip of adults with a range of ages, ethnicity and body size. Frequencies of daily intake of vegetables and fruit and weekly intake of pumpkin and carrot, dark green leafy vegetables (DGLV), eggs (yolk), and dairy were determined from a self-completed food-frequency-questionnaire. A total of 571 (324 Women, 247 Men) adults, aged 16 to 85 years, completed measurements. The CRS ranged from 83 to 769, with a median of 327. Women and men did not score differently. For all participants there were negative correlations of CRS with weight (

Indexed as

Health Status IndicatorsNutrition AssessmentAdolescentAdultAgedAged, 80 and overBiomarkersBody Mass IndexBody WeightCarotenoidsCross-Sectional StudiesDietDiet SurveysEatingFemaleFingersBiomarkersCarotenoidsbiomarkercarotenoidsvegetable and fruit intakeVeggie Meter™

Identifiers

PMID31906259
PMCPMC7020072
OpenAlexW2998608364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.