Evidence map›Paper›PMID 31835886›Full record

ArticleAnimals : an open access journal from MDPI2019

Improving the Recognition of Equine Affective States.

Catherine Bell, Suzanne Rogers, Julie Taylor, Debbie Busby

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Welfare Assessment in Equine-Assisted Service (EAS) Horses.Animals : an open access journal from MDPI · 2026
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  19. Article
  20. Moving toward Fear-Free Husbandry and Veterinary Care for Horses.Animals : an open access journal from MDPI · 2022
    Review
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

4 authors.

Catherine BellEquine Behaviour and Training Association; Godalming, GU8 6AX, UK.
Suzanne RogersEquine Behaviour and Training Association; Godalming, GU8 6AX, UK.
Julie TaylorEPONA-TV; 3400 Hillerød, Denmark.
Debbie BusbyEquine Behaviour and Training Association; Godalming, GU8 6AX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key welfare problem for horses is that people commonly fail to recognise, and consequently neglect to resolve, equine behavioural signs of distress, worsening the welfare of the horse and potentially putting the safety of the handler at risk as a result. Members of equestrian Facebook groups were asked to view six videos and assess the horse's behaviour in each; the authors selected the videos and considered each video to demonstrate behaviour associated with negative affective states. An additional six equine behaviourists also completed the survey as an "expert comparison group" from whom we could define "correct" answers; their responses were consistent with each other and the views of the authors. Although the majority of respondents successfully recognised behaviour indicative of distress in some instances, behaviour associated with negative affective states was commonly missed; videos featuring natural horsemanship and bridle-less riding were particularly interpreted incorrectly to be positive experiences for the horses. Binary logistic regression analysis (72.1% success rate) confirmed that the different video types (ridden dressage, natural horsemanship, in-hand dressage, bridle-less riding, Western reining and behavioural rehabilitation) were strong predictors for obtaining a correct answer (

Indexed as

behaviourfearhorsepainstresswelfare

Identifiers

PMID31835886
PMCPMC6941154
OpenAlexW2995893836

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.