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Typologies of older adult companion animal owners and non-owners: moving beyond the dichotomy.
Carr, Dawn C; Taylor, Miles G; Gee, Nancy R; Sachs-Ericsson, Natalie J.
Afiliação
  • Carr DC; Department of Sociology, Florida State University , Tallahassee , FL , USA.
  • Taylor MG; Department of Sociology, Florida State University , Tallahassee , FL , USA.
  • Gee NR; Department of Psychology, State University of New York , Fredonia , NY , USA.
  • Sachs-Ericsson NJ; WALTHAM Centre for Pet Nutrition , Leicestershire, UK.
Aging Ment Health ; 23(11): 1452-1466, 2019 11.
Article em En | MEDLINE | ID: mdl-30380913
ABSTRACT

Objectives:

Research on the influence of companion animals (CA) on the health of older adults has yielded contradictory results. Selection factors, leading to heterogeneity both between and within groups of CA owners and non-owners, likely bias results. We conduct analyses to identify typologies of owners and non-owners.

Methods:

Using data on older adults (60+) from the 2012 Health and Retirement Study (HRS), and the HRS companion animal module, (owners = 478) and (non-owners = 624), we conducted latent class analyses (LCA). We used key demographic, health, daily engagement, and pet characteristic variables to complete our analyses.

Results:

Analyses revealed five clusters of CA owners and four clusters of non-owners. Health and CA related characteristics distinguishing clusters suggest important sources of variability and reflect qualitatively different profiles of owners and non-owners. We also found CA owners were more likely than non-owners to be high on neuroticism and to be less extroverted than non-owners-but again there was considerable within group variability. Implications Factors that select people into pet ownership not only work individually to characterize ownership, they create distinct typologies of CA owners and non-owners that likely contribute to subsequent health outcomes. In order to determine if having a CA is beneficial to health in later life and for whom, future research should consider selection factors like those identified in the typologies. Statistical analyses, such as LCA, that can adequately account for these selection factors is necessary to avoid biases in the interpretation of results.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nível de Saúde / Animais de Estimação Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Animals / Female / Humans / Middle aged / Pregnancy Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nível de Saúde / Animais de Estimação Tipo de estudo: Prognostic_studies Limite: Aged / Aged80 / Animals / Female / Humans / Middle aged / Pregnancy Idioma: En Ano de publicação: 2019 Tipo de documento: Article