Evidence map›Paper›PMID 41499425›Full record

ArticlePloS one2026

Household survey on prevalence and risk factors for obesity in owned cats from Central Brazil.

Danilo Conrado Silva, Mariana Yukari Hayasaki Porsani, Aparecido Divino da Cruz, Erika Figueiredo Pereira, Klayto José Gonçalves Dos Santos, Lysa Bernardes Minasi, Vitória Alvarenga Nunes, Alex Silva da Cruz, Fabio Alves Teixeira

Abstract read
In one paragraph

Article in PloS one, 2026. 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

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

9 authors.

Danilo Conrado SilvaVeterinary Medicine, West Campus, State University of Goiás, São Luís de Montes Belos, Goiás, Brazil.ORCID https://orcid.org/0000-0002-4984-9019
Mariana Yukari Hayasaki PorsaniNational Association of São Paulo for Small Animal Practice (ANCLIVEPA-SP), São Paulo, Brazil.
Aparecido Divino da CruzReplicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Goiânia, Goiás, Brazil.
Erika Figueiredo PereiraSchool of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, Brazil.
Klayto José Gonçalves Dos SantosCenter for Animal Reproduction Biotechnology (Biotec), Graduate Program in Animal Production and Forage Science, West Campus, State University of Goiás, São Luís de Montes Belos, Goiás, Brazil.
Lysa Bernardes MinasiReplicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Goiânia, Goiás, Brazil.
Vitória Alvarenga NunesReplicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Goiânia, Goiás, Brazil.
Alex Silva da CruzReplicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Goiânia, Goiás, Brazil.
Fabio Alves TeixeiraNational Association of São Paulo for Small Animal Practice (ANCLIVEPA-SP), São Paulo, Brazil.ORCID https://orcid.org/0000-0001-6198-9367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have conducted the prevalence of obesity in cat populations and the associated risk factors by assessing cats in their homes, regardless of whether they had visited a veterinary hospital. Moreover, such studies are scarce in Latin America, and, to date, few census-based, in-home epidemiological assessment of feline obesity has been conducted in Brazil. This study aimed to estimate the prevalence of obesity in owned cats in the metropolis of Goiânia, Goiás, Brazil, and to assess the presence of risk factors related to the animals, their owners, the home environment, and cat management practices. A cross-sectional study was conducted with 188 cats and their owners, using geographically stratified household sampling. The animals were categorized based on body condition score (BCS) as underweight, ideal weight, overweight, or obese, and prevalence rates were calculated. The BCS was investigated for its association with animal, owner, environmental, and management characteristics using the Kruskal-Wallis test (α = 5%). Subsequently, characteristics with p ≤ 0.05 were analyzed as potential risk factors for overweight or obesity using binary logistic regression. Kappa analysis was used to determine the agreement between the BCS determined by veterinarians and the owners' perception of their cats' body condition. The prevalence of overweight and obesity in cats was 28.7%. Factors related to age and activity level, type of household, as well as the owners' education and occupation, were identified as risk factors for the development of overweight or obesity in the study cat population. Additionally, protective factors against overweight and obesity were identified, including the number of cats in the household, the location of the household, and the owners' perception of their own diet. The agreement between the actual BCS of the animals and the owners' perception of their cats' body condition was considered low.

Indexed as

Cat DiseasesObesityAnimalsBrazilCatsCross-Sectional StudiesFamily CharacteristicsFemaleHumansMaleOwnershipPrevalenceRisk FactorsSurveys and Questionnaires

Identifiers

PMID41499425
PMCPMC12779077

What Socratic holds

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LicenceCC BY
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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 Socratic graph.