Evidence map›Paper›PMID 41058929›Full record

ArticleF1000Research2024

Standardised and Objective Dietary Intake Assessment Tool (SODIAT): Protocol of a dual-site dietary intervention study to integrate dietary assessment methods.

Eka Bobokhidze, Michelle Weech, Katerina Petropoulou, Thomas Wilson, Jennifer Pugh, Rosalind Fallaize, Isabel Garcia-Perez, Frank P-W Lo, Adrian R Solis, Juliet Vickar and 9 more

Abstract readClinical Trial Protocol
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
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

19 authors.

Eka BobokhidzeHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, England, RG6 6DZ, UK.ORCID https://orcid.org/0009-0000-3626-054X
Michelle WeechHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, England, RG6 6DZ, UK.ORCID https://orcid.org/0000-0003-1738-877X
Katerina PetropoulouSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, England, W12 0NN, UK.
Thomas WilsonDepartment of Life Sciences, Aberystwyth University, Aberystwyth, Wales, SY23 3DA, UK.ORCID https://orcid.org/0000-0003-3112-4682
Jennifer PughSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, England, W12 0NN, UK.ORCID https://orcid.org/0000-0002-5310-2882
Rosalind FallaizeHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, England, RG6 6DZ, UK.
Isabel Garcia-PerezSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, England, W12 0NN, UK.
Frank P-W LoThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, England, SW7 2AZ, UK.
Adrian R SolisThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, England, SW7 2AZ, UK.
Juliet VickarDepartment of Life Sciences, Aberystwyth University, Aberystwyth, Wales, SY23 3DA, UK.ORCID https://orcid.org/0000-0003-4019-3110
Stamatia GiannarouThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, England, SW7 2AZ, UK.
George MylonasThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, England, SW7 2AZ, UK.ORCID https://orcid.org/0000-0003-3725-5843
Benny LoThe Hamlyn Centre for Robotic Surgery, Imperial College London, London, England, SW7 2AZ, UK.ORCID https://orcid.org/0000-0002-5080-108X
Amanda J LloydDepartment of Life Sciences, Aberystwyth University, Aberystwyth, Wales, SY23 3DA, UK.ORCID https://orcid.org/0000-0002-0775-3537
Albert KoulmanNutritional Biomarker Laboratory, MRC Epidemiology Unit, University of Cambridge, Cambridge, England, CB2 0QQ, UK.ORCID https://orcid.org/0000-0001-9998-051X
Manfred BeckmannDepartment of Life Sciences, Aberystwyth University, Aberystwyth, Wales, SY23 3DA, UK.
John DraperDepartment of Life Sciences, Aberystwyth University, Aberystwyth, Wales, SY23 3DA, UK.
Gary FrostSection of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, England, W12 0NN, UK.ORCID https://orcid.org/0000-0003-0529-6325
Julie A LovegroveHugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, England, RG6 6DZ, UK.ORCID https://orcid.org/0000-0001-7633-9455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Current dietary assessment methods struggle to accurately capture individuals' dietary habits. The 'Standardised and Objective Dietary Intake Assessment Tool' (SODIAT)-1 study aims to assess the effectiveness of three emerging technologies (urine and capillary blood biomarkers, wearable camera technology) and two online self-reporting dietary assessment tools to monitor dietary intake. Methods: This randomised controlled crossover trial was conducted at two sites (Hammersmith Hospital and the University of Reading) and aimed to recruit 30 UK participants (aged 18-70 years, BMI 20-30 kg/m Discussion and ethical considerations: The SODIAT project introduced a novel approach to dietary assessment, aiming to address the limitations like misreporting and inclusivity. However, challenges persist, such as variability in biomarker data due to failure to follow sample storage requirements and the practicalities of wearing cameras throughout the day. To protect privacy, participants removed cameras at inappropriate times, and AI removed non-food related images and blurred faces/device screens captured on the images. The accuracy of the tools in a highly-controlled setting will be evaluated in this study. Future studies are planned to validate these tools further in free-living and minority populations.

Indexed as

DietNutrition AssessmentAdolescentAdultAgedBiomarkersCross-Over StudiesFeeding BehaviorFemaleHumansMaleMiddle AgedMulticenter Studies as TopicRandomized Controlled Trials as TopicSelf ReportYoung AdultBiomarkersBiomarkersDietary reportingHealthMisreportingNutritionResearchUnderreporting

Identifiers

PMID41058929
PMCPMC12498317

What OpenQuestion holds

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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.