Exploring the differences between pet and non-pet owners: Implications for human-animal interaction research and policy
Open accessAbstract
There is conflicting evidence about whether living with pets results in better mental and physical health outcomes, with the majority of the empirical research evidence being inconclusive due to methodological limitations. We briefly review the research evidence, including the hypothesized mechanisms through which pet ownership may influence health outcomes. This study examines how pet and non-pet owners differ across a variety of socio-demographic and health measures, which has implications for the proper interpretation of a large number of correlational studies that attempt to draw causal attributions. We use a large, population-based survey from California administered in 2003 (n = 42,044) and find that pet owners and non-pet owners differ across many traits, including gender, age, race/ethnicity, living arrangements, and income. We include a discussion about how the factors associated with the selection into the pet ownership group are related to a range of mental and physical health outcomes. Finally, we provide guidance on how to properly model the effects of pet ownership on health to accurately estimate this relationship in the general population.
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The majority of research evidence on pet-effect was considered inconclusive due to methodological limitations such as reliance on self-reports, small sample sizes, homogeneous populations, varying research designs, narrow outcome variables, and cross-sectional designs.
“The majority of research evidence was also considered inconclusive due to methodological limitations such as reliance on self-reports, small sample sizes that may not be representative of the general population, homogeneous populations, varying research designs, narrow range of outcome variables that were examined, and the use of cross-sectional designs that do not consider long-term health outcom”
From A One Health Perspective on the Human-Companion Animal Relationship with Emphasis on Zoonotic Aspects. (2020) · cites this paper as [107]
The Introduction (page not provided) says the evidence is insufficient for strong conclusions and identifies small or convenience samples, self-report measures, narrow outcome ranges, and cross-sectional designs as limitations. It does not identify homogeneous populations or varying research designs as reasons the evidence is inconclusive. (LLM, conf=0.86)
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- Authors
- Saunders, J., Parast, L., Babey, S. H., & Miles, J. V.
- Affiliations
- RAND Corporation (US)
- University of California, Los Angeles (US)
- Corresponding author
- Parast, Layla
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-06-23
- Volume
- 12
- Issue
- 6
- Pages
- e0179494
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5482437
- OpenAlex
- W2646529287
- Cited by
- 141
- References
- 11
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 17 · 2023: 15 · 2022: 14 · 2021: 26 · 2020: 18 · 2019: 27 · 2018: 8 · 2017: 1 · 2016: 1
- FWCI
- 9.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- WBI Studies Repository (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institute of Child Health and Human Development (R01HD066591)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Human-Animal Interaction Studies
- Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Urban Green Space and Health
- Keywords
- pet ownership, human-animal interaction, mental health, physical health, sociodemographic differences, causal inference, health policy, California
- MeSH terms
- Adult, Animals, Human-Animal Bond, California, Cats, Cross-Sectional Studies, Dogs, Female, Health Status, Humans, Male, Ownership, Surveys and Questionnaires, Social Class, Multivariate Analysis, Logistic Models
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