Comparative Analysis of Dental Diseases in Domestic Cats Fed Different Diets in Canada

Authors

  • Ella Robinson

DOI:

https://doi.org/10.47604/jah.2764

Abstract

Purpose: To aim of the study was to analyze the comparative analysis of dental diseases in domestic cats fed different diets.

Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.

Findings: In studying domestic cats on different diets, it's clear that those eating dry kibble or dental-specific foods tend to have better dental health than those on wet diets. Dry food's abrasive texture helps reduce plaque and tartar buildup, whereas wet diets provide less mechanical cleaning, leading to higher risks of dental diseases like periodontal issues and gingivitis. Dental-specific diets with added oral health benefits play a key role in maintaining gum health and reducing plaque. Veterinary advice stresses the importance of these diets along with regular dental care for overall feline health and wellbeing.

Unique Contribution to Theory, Practice and Policy: Social learning theory, health belief model & biological theory of aging may be used to anchor future studies on comparative analysis of dental diseases in domestic cats fed different diets. Veterinarians and pet owners should be informed about the significant role of diet in maintaining feline dental health. Policy initiatives could advocate for clearer labeling and educational campaigns regarding the dental health benefits of specific cat diets.

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Published

2024-07-05

How to Cite

Robinson, E. (2024). Comparative Analysis of Dental Diseases in Domestic Cats Fed Different Diets in Canada. Journal of Animal Health, 4(2), 1 – 13. https://doi.org/10.47604/jah.2764

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