Evidence map›Paper›PMID 34880277›Full record

ArticleScientific reports2021

Understanding the impact of dog ownership on autistic adults: implications for mental health and suicide prevention.

Ana Maria Barcelos, Niko Kargas, Chris Packham, Daniel S Mills

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ana Maria BarcelosSchool of Life Sciences, University of Lincoln, Lincoln, UK. abarcelos@lincoln.ac.uk.
Niko KargasSchool of Psychology, University of Lincoln, Lincoln, UK.
Chris PackhamSchool of Life Sciences, University of Lincoln, Lincoln, UK.
Daniel S MillsSchool of Life Sciences, University of Lincoln, Lincoln, UK.
University of Lincoln · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health problems and suicide are more frequent in autistic adults than general population. Dog ownership can improve human well-being. This study aimed to generate a framework of well-being outcomes for dog-related activities in autistic adults and compare it to the framework generated for a general adult population. Thirty-six autistic dog owners (18-74 years old, 18 males) from diverse UK regions were interviewed and transcripts thematically analysed. 16.7% reported that their dogs prevented them from taking their own lives, mainly due to the dog's affection and the need to care for the animal. Close dog-owner interactions (e.g., cuddling, walking, dog's presence) were the most frequent activities improving emotions/moods and life functioning, whereas routine-like activities (e.g., feeding the animal) particularly enhanced life functioning. Well-being worsening was mainly linked to dog behaviour problems, dog poor health/death and obligations to the dog. Despite some negatives associated with ownership, having a dog could improve the well-being of many autistic adults and assist suicide prevention strategies in this high-risk group. The framework was consistent with that generated previously, indicating its robustness and the potential opportunity to focus on dog-related activities rather than the vague concept of "ownership" when considering the impact of ownership on well-being.

Indexed as

Human-Animal BondMental HealthOwnershipSuicide PreventionAdolescentAdultAgedAnimalsAutistic DisorderDogsFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID34880277
PMCPMC8655007
OpenAlexW4200390351

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.