Evidence map›Paper›PMID 33446837›Full record

ArticleInternational journal of obesity (2005)2021

Appetite disinhibition rather than hunger explains genetic effects on adult BMI trajectory.

Eric J Brunner, Koutatsu Maruyama, Martin Shipley, Noriko Cable, Hiroyasu Iso, Ayako Hiyoshi, Daryth Stallone, Meena Kumari, Adam Tabak, Archana Singh-Manoux and 7 more

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in International journal of obesity (2005), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Behavioural susceptibility theory: the role of appetite in genetic susceptibility to obesity in early life.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  8. Article
  9. Role of Leu72Met ofNutrients · 2022
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 5 countries.

Eric J Brunner *Institute of Epidemiology and Health Care, University College London, London, UK.ORCID http://orcid.org/0000-0002-0595-4474
Koutatsu Maruyama *Institute of Epidemiology and Health Care, University College London, London, UK. maruyama.kotatsu.rt@ehime-u.ac.jp.
Martin ShipleyInstitute of Epidemiology and Health Care, University College London, London, UK.
Noriko CableInstitute of Epidemiology and Health Care, University College London, London, UK.
Hiroyasu IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Ayako HiyoshiClinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden.
Daryth StalloneNutrepol, Merritt Island, FL, USA.
Meena KumariInstitute of Epidemiology and Health Care, University College London, London, UK.
Adam TabakInstitute of Epidemiology and Health Care, University College London, London, UK.ORCID http://orcid.org/0000-0002-6234-3936
Archana Singh-ManouxInstitute of Epidemiology and Health Care, University College London, London, UK.ORCID http://orcid.org/0000-0002-1244-5037
John WilsonNorth Devon Medical Education Centre, North Devon District Hospital, Barnstaple, UK.
Claudia LangenbergMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Nick WarehamMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
David BonifaceInstitute of Epidemiology and Health Care, University College London, London, UK.
Aroon HingoraniInstitute of Cardiovascular Science, University College London, London, UK.ORCID http://orcid.org/0000-0001-8365-0081
Mika KivimäkiInstitute of Epidemiology and Health Care, University College London, London, UK.ORCID http://orcid.org/0000-0002-4699-5627
Clare LlewellynInstitute of Epidemiology and Health Care, University College London, London, UK.ORCID http://orcid.org/0000-0002-0066-2827
University College London · GBUniversity of Cambridge · GBDepartment of Health and Aged Care · AUNational Institute for Health and Care Excellence · GBNorth Devon District Hospital · GBÖrebro University · SESemmelweis University · HUThe University of Osaka · JPUniversity of Essex · GB

Funding

Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
British Heart Foundation PG/11/63/29011British Heart Foundation RG/13/2/30098British Heart Foundation RG/16/11/32334Medical Research Council K013351Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_12015/1Medical Research Council MR/R024227/1Medical Research Council S011676NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG034454NIA NIH HHS R01 AG056477
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe mediating role of eating behaviors in genetic susceptibility to weight gain during mid-adult life is not fully understood. This longitudinal study aims to help us understand contributions of genetic susceptibility and appetite to weight gain. SUBJECTS/

methodsWe followed the body-mass index (BMI) trajectories of 2464 adults from 45 to 65 years of age by measuring weight and height on four occasions at 5-year intervals. Genetic risk of obesity (gene risk score: GRS) was ascertained, comprising 92 BMI-associated single-nucleotide polymorphisms and split at a median (=high and low risk). At the baseline, the Eating Inventory was used to assess appetite-related traits of 'disinhibition', indicative of opportunistic eating or overeating and 'hunger' which is susceptibility to/ability to cope with the sensation of hunger. Roles of the GRS and two appetite-related scores for BMI trajectories were examined using a mixed model adjusted for the cohort effect and sex.

resultsDisinhibition was associated with higher BMI (β = 2.96; 95% CI: 2.66-3.25 kg/m

conclusionsAppetite disinhibition is most likely to be a defining characteristic of genetic susceptibility to obesity. High levels of appetite disinhibition, rather than hunger, may underlie genetic vulnerability to obesogenic environments in two-thirds of the population of European ancestry.

Indexed as

AppetiteBody Mass IndexHungerInhibition, PsychologicalAgedFeeding BehaviorFemaleGenetic Predisposition to DiseaseHumansLinear ModelsLongitudinal StudiesMaleMiddle AgedObesityPolymorphism, Single NucleotideWeight Gain

Identifiers

PMID33446837
PMCPMC8005371
OpenAlexW3118644637

What OpenQuestion holds

Textmetadata
LicenceTDM
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.