Evidence map›Paper›PMID 32647301›Full record

ArticleScientific reports2020

A framework for understanding how activities associated with dog ownership relate to human well-being.

Ana Maria Barcelos, Niko Kargas, John Maltby, Sophie Hall, Daniel S Mills

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 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

5 authors.

Ana Maria BarcelosSchool of Life Sciences, University of Lincoln, Lincoln, UK. abarcelos@lincoln.ac.uk.
Niko KargasSchool of Psychology, University of Lincoln, Lincoln, UK.
John MaltbyDepartment of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK.
Sophie HallDepartment of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK.
Daniel S MillsSchool of Life Sciences, University of Lincoln, Lincoln, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is notorious inconsistency regarding mental health benefits of dog ownership, partially due to repeated cross-sectional studies comparing dog owners and non-owners, without taking into account the heterogeneity of dog-owner dyads, especially the activities with which the owners are involved. This study aimed to develop a comprehensive framework of the most important dog human related activities and their impact on owner well-being. Six focus groups with 35 dog owners were conducted, and their audio transcripts thematically analysed. Dog human related activities and themes of activities were linked to their reported changes in well-being through matrix coding. A framework of 58 dog human related activities linked with their specific hedonic well-being, life satisfaction and eudaimonic well-being outcomes was generated. Most activities were reported to improve owner's well-being, (e.g. human-dog tactile interaction increases owner's self-esteem), and a minority was mainly associated with negative outcomes. The richness of the framework presented in this study reinforces the importance of assessing dog ownership well-being outcomes based on specific dog human related activities with which dog owners are involved. This new and systematic investigative approach should decrease inconsistencies in the field and facilitate mental health interventions and study designs of a higher level of evidence.

Indexed as

DogsHuman-Animal BondOwnershipPetsQuality of LifeAdolescentAdultAgedAnimalsFemaleFocus GroupsHumansMaleMental HealthMiddle AgedPersonal Satisfaction

Identifiers

PMID32647301
PMCPMC7347561

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Registered trials

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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.