Use of biomarkers to assess fruit and vegetable intake
Use of biomarkers to assess fruit and vegetable intake
Woodside et al., 2017 | Proc Nutr Soc | Systematic Review
Citation
Woodside Jayne V, Draper John, ... McKinley Michelle C. Use of biomarkers to assess fruit and vegetable intake. Proc Nutr Soc. 2017-Aug;76(3):308-315. doi:10.1017/S0029665117000325
Abstract
A high intake of fruit and vegetables (FV) has been associated with reduced risk of a number of chronic diseases, including CVD. The aim of this review is to describe the potential use of biomarkers to assess FV intake. Traditional methods of assessing FV intake have limitations, and this is likely to impact on observed associations with disease outcomes and markers of disease risk. Nutritional biomarkers may offer a more objective and reliable method of assessing dietary FV intake. Some single blood biomarkers, such as plasma vitamin C and serum carotenoids, are well established as indicators of FV intake. Combining potential biomarkers of intake may more accurately predict overall FV intake within intervention studies than the use of any single biomarker. Another promising approach is metabolomic analysis of biological fluids using untargeted approaches to identify potential new biomarkers of FV intake. Using biomarkers to measure FV intake may improve the accuracy of dietary assessment.
Key Findings
Using biomarkers to measure FV intake may improve the accuracy of dietary assessment.
Outcomes Measured
- Requires manual extraction
Population
| Field | Value |
|---|---|
| Population | See abstract |
| Sample Size | See abstract |
| Age Range | See abstract |
| Condition | See abstract |
MeSH Terms
- Biomarkers
- Biomedical Research
- Congresses as Topic
- Diet, Healthy
- Dietetics
- Fruit
- Humans
- Metabolomics
- Nutrition Assessment
- Nutritional Sciences
- Patient Compliance
- Societies, Scientific
- Vegetables
Evidence Classification
- Level: Systematic Review
- Publication Types: Journal Article, Systematic Review
- Vertical: vitamin-c
Provenance
- PMID: 28347371
- DOI: 10.1017/S0029665117000325
- PMCID: Not in PMC
- Verified: 2026-04-09 via PubMed E-utilities API
Source extracted via PubMed E-utilities API on 2026-04-09