Evidence map›Paper›PMID 29342582›Full record

ArticleThe Behavioral and brain sciences2017

Towards a behavioural ecology of obesity.

Andrew D Higginson, John M McNamara, Sasha R X Dall

Abstract readComment
PubMed Publisher
In one paragraph

Article in The Behavioral and brain sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andrew D HigginsonCentre for Research in Animal Behaviour,College of Life and Environmental Sciences,University of Exeter,Exeter EX4 4QG,United Kingdoma.higginson@exeter.ac.uk.
John M McNamaraSchool of Mathematics,University of Bristol,University Walk,Bristol BS8 1TW,United Kingdomjohn.mcnamara@bristol.ac.uk.
Sasha R X DallCentre for Ecology and Conservation,University of Exeter,Penryn,Cornwall TR10 9FE,United Kingdom.S.R.X.Dall@exeter.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing the obesity epidemic depends on a holistic understanding of the reasons that people become and maintain excessive fat. Theories about the causes of obesity usually focus proximately or evoke evolutionary mismatches, with minimal clinical value. There is potential for substantial progress by adapting strategic body mass regulation models from evolutionary ecology to human obesity by assessing the role of information.

Indexed as

Food SupplyObesityBiological EvolutionEcologyHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.