Evidence map›Paper›PMID 32524939›Full record

ArticlePublic health nutrition2020

Developing community-based urine sampling methods to deploy biomarker technology for the assessment of dietary exposure.

Amanda J Lloyd, Thomas Wilson, Naomi D Willis, Laura Lyons, Helen Phillips, Hayley G Janssen, Martina Stiegler, Long Xie, Kathleen Tailliart, Manfred Beckmann and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Cortisol Stability at 16 and 30 Years in Urine Specimens Stored at -20°C.American journal of human biology : the official journal of the Human Biology Council · 2026
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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

13 authors at 3 institutions in 1 country.

Amanda J Lloyd *Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.
Thomas Wilson *Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.
Naomi D WillisHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Laura LyonsInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.ORCID 0000-0002-0513-9787
Helen PhillipsInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.
Hayley G JanssenFaculty of Education, Health & Community, Liverpool John Moores University, Liverpool, UK.
Martina StieglerHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Long XieHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
Kathleen TailliartInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.
Manfred BeckmannInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.
Leo StevensonFaculty of Education, Health & Community, Liverpool John Moores University, Liverpool, UK.
John C MathersHuman Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
John DraperInstitute of Biological, Environmental and Rural Sciences, Aberystwyth University, AberystwythSY23 3DA, UK.
Aberystwyth University · GBNewcastle University · GBLiverpool John Moores University · GB

Funding

Medical Research Council MR/J010308/1Medical Research Council MR/P020941/1
6 · The paper itself

Abstract

objectiveObtaining objective, dietary exposure information from individuals is challenging because of the complexity of food consumption patterns and the limitations of self-reporting tools (e.g., FFQ and diet diaries). This hinders research efforts to associate intakes of specific foods or eating patterns with population health outcomes.

designDietary exposure can be assessed by the measurement of food-derived chemicals in urine samples. We aimed to develop methodologies for urine collection that minimised impact on the day-to-day activities of participants but also yielded samples that were data-rich in terms of targeted biomarker measurements.

settingUrine collection methodologies were developed within home settings.

participantsDifferent cohorts of free-living volunteers.

resultsHome collection of urine samples using vacuum transfer technology was deemed highly acceptable by volunteers. Statistical analysis of both metabolome and selected dietary exposure biomarkers in spot urine collected and stored using this method showed that they were compositionally similar to urine collected using a standard method with immediate sample freezing. Even without chemical preservatives, samples can be stored under different temperature regimes without any significant impact on the overall urine composition or concentration of forty-six exemplar dietary exposure biomarkers. Importantly, the samples could be posted directly to analytical facilities, without the need for refrigerated transport and involvement of clinical professionals.

conclusionsThis urine sampling methodology appears to be suitable for routine use and may provide a scalable, cost-effective means to collect urine samples and to assess diet in epidemiological studies.

Indexed as

Dietary ExposureUrinalysisBiomarkersDietHumansMetabolomeTechnologyBiomarkersBiomarkersCost-effective diagnostic toolDietary exposureHome urine collectionMetabolomicsPopulation monitoring

Identifiers

PMID32524939
PMCPMC10200380
OpenAlexW3033327590

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.