Related Experiment Video
Updated: Jun 13, 2026

Development and Validation of a Methodology for Establishing Obese Rat Models with Typical Fatty Pancreas
Published on: November 11, 2025
An epidemiological study of environmental factors associated with canine obesity
E A Courcier1, R M Thomson, D J Mellor
1Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Faculty of Veterinary Medicine, Bearsden Road, Glasgow.
Objectives:
To assess the relationships between socioeconomic and other environmental factors with canine obesity.
Methods:
This was a cross-sectional questionnaire study of dog owners attending five primary veterinary practices in the UK. Owners were asked about dog age, neuter status, feeding habits, dog exercise, household income and owner age. The body condition score of the dogs was also assessed. Factors hypothesised to be associated with obesity were investigated.
Results:
In total, data from 696 questionnaires were evaluated. Out of those data evaluated, 35.3% of dogs (n=246) were classed as an ideal body shape, 38.9% (n=271) were overweight, 20.4% (n=142) were obese and 5.3% (n=37) were underweight. Identified risk factors associated with obesity included owner age, hours of weekly exercise, frequency of snacks/treats and personal income.
Clinical Significance:
Environmental risk factors associated with canine obesity are multifactorial and include personal income, owner age, frequency of snacks/treats and amount of exercise the dog receives. Awareness about health risks associated with obesity in dogs is significantly less in people in lower income brackets. This phenomenon is recognised in human obesity.
Related Concept Videos
Obesity
Causality in Epidemiology
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Introduction to Epidemiology
Statistical Methods for Analyzing Epidemiological Data
Cause and Effect

