Evidence map›Paper›PMID 30591684›Full record

ArticleNutrients2018

Slow Down: Behavioural and Physiological Effects of Reducing Eating Rate.

Katherine Hawton, Danielle Ferriday, Peter Rogers, Paula Toner, Jonathan Brooks, Jeffrey Holly, Kalina Biernacka, Julian Hamilton-Shield, Elanor Hinton

Abstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
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    Observational
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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

9 authors.

Katherine HawtonNational Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol BS8 1TU, UK. katherine.hawton@bristol.ac.uk.ORCID 0000-0002-9448-0935
Danielle FerridayNutrition and Behaviour Unit, School of Psychological Science, University of Bristol, 12A Priory Rd, Bristol BS8 1TU, UK. danielle.ferriday@bristol.ac.uk.
Peter RogersNational Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol BS8 1TU, UK. peter.rogers@bristol.ac.uk.
Paula TonerNational Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol BS8 1TU, UK. pt13294@my.bristol.ac.uk.ORCID 0000-0001-9692-8978
Jonathan BrooksClinical Research and Imaging Centre, University of Bristol, 60 St Michael's Hill, Bristol BS2 8DX, UK. jon.brooks@bristol.ac.uk.
Jeffrey HollyIGFs and Metabolic Endocrinology, University of Bristol, Second Floor, Learning and Research, Southmead Hospital, Westbury-on-Trym, Bristol BS10 5NB, UK. jeff.holly@bristol.ac.uk.
Kalina BiernackaIGFs and Metabolic Endocrinology, University of Bristol, Second Floor, Learning and Research, Southmead Hospital, Westbury-on-Trym, Bristol BS10 5NB, UK. mdxkz@bristol.ac.uk.
Julian Hamilton-ShieldNational Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol BS8 1TU, UK. j.p.h.shield@bristol.ac.uk.
Elanor HintonNational Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol BS8 1TU, UK. elanor.hinton@bristol.ac.uk.ORCID 0000-0003-2793-8552

Funding

Biotechnology and Biological Sciences Research Council BB/L02554X/1Medical Research Council G0700238Seventh Framework Programme 607310 (Nudge-it)The Elizabeth Blackwell Institute Clinical Primer Scheme SOCS RJ6199
6 · The paper itself

Abstract

Slowing eating rate appears to be an effective strategy for reducing food intake. This feasibility study investigated the effect of eating rate on post-meal responses using functional magnetic resonance imaging (fMRI), plasma gastrointestinal hormone concentrations, appetite ratings, memory for recent eating, and snack consumption. Twenty-one participants (mean age 23 years with healthy body mass index) were randomly assigned to consume a 600 kcal meal at either a "normal" or "slow" rate (6 vs. 24 min). Immediately afterwards, participants rated meal enjoyment and satisfaction. FMRI was performed 2-h post-meal during a memory task about the meal. Appetite, peptide YY, and ghrelin were measured at baseline and every 30 min for 3 h. Participants were given an ad-libitum snack three hours post-meal. Results were reported as effect sizes (Cohen's d) due to the feasibility sample size. The normal rate group found the meal more enjoyable (effect size = 0.5) and satisfying (effect size = 0.6). Two hours post-meal, the slow rate group reported greater fullness (effect size = 0.7) and more accurate portion size memory (effect sizes = 0.4), with a linear relationship between time taken to make portion size decisions and the BOLD response in satiety and reward brain regions. Ghrelin suppression post-meal was greater in the slow rate group (effect size = 0.8). Three hours post-meal, the slow rate group consumed on average 25% less energy from snacks (effect size = 0.5). These data offer novel insights about mechanisms underlying how eating rate affects food intake and have implications for the design of effective weight-management interventions.

Indexed as

Feeding BehaviorAdolescentAdultEatingFemaleHumansMagnetic Resonance ImagingMaleMealsTime FactorsYoung Adultappetite hormoneseating ratefunctional magnetic resonance imaging (fMRI)meal enjoymentmemory for recent eatingsatiety

Identifiers

PMID30591684
PMCPMC6357517

What OpenQuestion holds

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Read underepoch 390

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.