Evidence map›Paper›PMID 23299789›Full record

Trial reportEuropean journal of clinical nutrition2013

Fruit and vegetable intake and the association with glucose parameters: a cross-sectional analysis of the Let's Prevent Diabetes Study.

P Carter, L J Gray, D Talbot, D H Morris, K Khunti, M J Davies

Open access · bronzeAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of clinical nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 58 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

6 authors at 2 institutions in 1 country.

P CarterDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK. Pc154@le.ac.uk
L J Gray
D Talbot
D H Morris
K Khunti
M J Davies
University of Leicester · GBUnilever (United Kingdom) · GB

Funding

Department of Health RP-DG-1210-10183Department of Health RP-PG-0606-1272
6 · The paper itself

Abstract

backgroundDietary recommendations for the prevention of type 2 diabetes mellitus include the message to consume 400 g fruit and vegetables per day. Measurement of habitual diet is inherently difficult, yet errors due to self-report can be eliminated by the use of nutritional biomarkers. The aim of this study was to determine plasma vitamin C concentrations as a biomarker for fruit and vegetable intake in individuals identified at high risk of diabetes. Fruit and vegetables may confer benefit via their antioxidant capacity, thus we also measured urinary F₂-isoprostanes as a marker for oxidative stress. SUBJECTS/

methodsParticipants recruited from a high-risk population as part of a diabetes prevention trial provided fasting blood samples and a spot urine sample for the quantification of plasma vitamin C and F₂-isoprostanes, respectively. We compared glycaemic parameters by the increments of the standard deviation of plasma vitamin C using multiple regression models.

resultsMean plasma vitamin C of participants was 39.3 μmol/l (s.d. 21.8). In the unadjusted model, 1 s.d. plasma vitamin C was significantly and inversely associated with HbA1c, fasting and 2 h blood glucose (P ≤ 0.0001). Relationships remained significant after adjustment for demographic variables and confounding factors. No significant association was observed between plasma vitamin C and urinary F₂-isoprostanes.

conclusionThe data adds to the evidence that small lifestyle changes may influence glucose regulation. The role that fruit and vegetables independently have should be investigated further.

Indexed as

FruitVegetablesAdultAgedAscorbic AcidBiomarkersBlood GlucoseCohort StudiesCross-Sectional StudiesDiabetes Mellitus, Type 2EnglandF2-IsoprostanesFemaleGlycated HemoglobinHumansMaleAscorbic AcidBiomarkersBlood GlucoseF2-IsoprostanesGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID23299789
OpenAlexW1972081877

What OpenQuestion holds

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Registered trials

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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.