Evidence map›Paper›PMID 29177071›Full record

ArticlePilot and feasibility studies2017

A pilot investigation to optimise methods for a future satiety preload study.

Mark R Hobden, Laetitia Guérin-Deremaux, Daniel M Commane, Ian Rowland, Glenn R Gibson, Orla B Kennedy

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Article in Pilot and feasibility studies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Mark R HobdenDepartment of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, The University of Reading, Reading, RG6 6AP UK.
Laetitia Guérin-DeremauxDepartment of Nutrition and Health, Roquette, Lestrem, France.
Daniel M CommaneDepartment of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, The University of Reading, Reading, RG6 6AP UK.
Ian RowlandDepartment of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, The University of Reading, Reading, RG6 6AP UK.
Glenn R GibsonDepartment of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, The University of Reading, Reading, RG6 6AP UK.
Orla B KennedyDepartment of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, The University of Reading, Reading, RG6 6AP UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreload studies are used to investigate the satiating effects of foods and food ingredients. However, the design of preload studies is complex, with many methodological considerations influencing appetite responses. The aim of this pilot investigation was to determine acceptability, and optimise methods, for a future satiety preload study. Specifically, we investigated the effects of altering (i) energy intake at a standardised breakfast (gender-specific or non-gender specific), and (ii) the duration between mid-morning preload and ad libitum lunch meal, on morning appetite scores and energy intake at lunch.

methodsParticipants attended a single study visit. Female participants consumed a 214-kcal breakfast (

resultsCorrelation between male and female appetite scores was higher with the provision of a gender-specific breakfast, compared to non-gender-specific breakfast (Pearson correlation of 0.747 and 0.479, respectively). No differences in subjective appetite or ad libitum energy intake were found between protocols 1 and 2. VAS mean ratings of liking, enjoyment, and palatability were all > 66 out of 100 mm for breakfast, preload, and lunch meals.

conclusionsThe findings of this pilot study confirm the acceptability of this methodology for future satiety preload studies. Appetite scores increased from preload to ad libitum lunch meal; however, no specific differences were found between protocols. The results highlight the importance of considering energy intake prior to preload provision, with a gender-specific breakfast improving the correlation between male and female appetite score responses to a morning preload.

Indexed as

AppetiteOptimisationPreloadSatietyStudy design

Identifiers

PMID29177071
PMCPMC5693544

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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.