Evidence map›Paper›PMID 40321628›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Were young men picking pets over people? Association between social network and pet ownership: A population-based study.

Tingzhong Yang, Jinsong Chen, Ying Liu

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Tingzhong YangYongkang Women and Children's Health Hospital, Yongkang, China.
Jinsong ChenSchool of Law, Department of Public Management, Hangzhou City University, School of Public Management, Zhejiang University, National Institute for Health Innovation, University of Auckland, China.
Ying LiuDepartment of Sociology, Zhejiang University, Hangzhou 310058, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This population-based cross-sectional study explores the relationship between social network involvement and pet ownership among young men in China. The study found that 24.1 % of families in the sample owned pets. A multilevel logistic regression analysis was conducted to examine the association between social network size and pet ownership. In this analysis, the odds ratio (OR) was used to quantify the strength of the association. The results revealed that the OR for overall social network size and pet ownership were 2.15 for the smallest network group, 1.63 for the middle network group, and 1.69 for the largest network group, compared to the reference group. The structural equation model showed that the overall social network, as well as both lower- and higher-level social networks, not only have a direct influence on pet ownership but also exert indirect effects through marital status or family location, or regional population density. This study provides important insights into pet ownership behavior, highlighting the role of social networks in shaping human-animal interactions and emphasizing the need for a holistic approach to understanding the factors that contribute to pet ownership decisions. The study deals with animal-human health from a fundamental social level and understanding social needs and structures behind people's pet-keeping behavior provides a good basis for further study of health issues in pet-keeping practices.

Indexed as

AttachmentMental healthPet ownershipSocial networksSocial status

Identifiers

PMID40321628
PMCPMC12047572

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.