Health status and population characteristics of dogs and cats examined at private veterinary practices in the United States
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Objective: To determine age, breed, sex, body condition score, and diet of dogs and cats examined at private veterinary practices in the United States during 1995, and estimate prevalences of the most common disorders for these animals. Design: Cross-sectional study. Animals: 31,484 dogs and 15,226 cats examined by veterinary practitioners at 52 private veterinary practices. Procedure: Information on age, breed, sex, body condition score, diet, and assigned diagnostic codes were collected electronically from participating practices and transferred to a relational database. Prevalence estimates and frequencies for population description were generated using statistical software. Results: Dental calculus and gingivitis were the most commonly reported disorders. About 7% of dogs and 10% of cats examined by practitioners during the study were considered healthy. Many conditions were common to both species (eg, flea infestation, conjunctivitis, diarrhea, vomiting). Dogs were likely to be examined because of lameness, disk disease, lipoma, and allergic dermatitis. Cats were likely to be examined because of renal disease, cystitis, feline urologic syndrome, and inappetence Clinical Implications: Results can be used by veterinary practitioners to better understand and anticipate health problems of importance in cats and dogs they examine and to better communicate with clients regarding the most prevalent disorders in cats and dogs. ( J Am Vet Med Assoc 1999;214:1336–1341)
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Recent data suggest mean caloric intake for weight loss over a 12-week period is 63 ± 10.2 kcal/kg0.75 in dogs and 52 ± 4.9 kcal/kg0.711 in cats.
“Recent data suggest mean caloric intake for weight loss over a 12 wk period is 63 ± 10.2 kcal/kg0.75 in dogs and 52 ± 4.9 kcal/kg0.711 in cats.57,58”
From 2021 AAHA Nutrition and Weight Management Guidelines for Dogs and Cats (2021) · cites this paper as [58]
The Results (p. 3) report diet categories and body-condition scores, not caloric intake during weight loss. Searches for the stated intake values and a 12-week weight-loss period found no passage in our copy addressing either figure. (LLM, conf=0.76)
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- Authors
- Lund, E. M., Armstrong, P. J., Kirk, C. A., Kolar, L. M., & Klausner, J. S.
- Affiliations
- University of Minnesota (US)
- Venue
- Journal of the American Veterinary Medical Association
- Published
- 1999-05-01
- Volume
- 214
- Issue
- 9
- Pages
- 1336-1341
- ISSN
- 0003-1488 (ISSN-L)
- OpenAlex
- W2151861762
- Cited by
- 612
- References
- 12
- Citations by year
- 2026: 12 · 2025: 25 · 2024: 23 · 2023: 36 · 2022: 24 · 2021: 35 · 2020: 29 · 2019: 33 · 2018: 28 · 2017: 30 · 2016: 34 · 2015: 33 · 2014: 36 · 2013: 25 · 2012: 28
- FWCI
- 12.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Veterinary Medical Association (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Veterinary › Small Animals › Veterinary Medicine and Surgery
- Health Sciences › Veterinary › Small Animals › Veterinary Orthopedics and Neurology
- Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
- Keywords
- dogs, cats, dental calculus, gingivitis, flea infestation, conjunctivitis, body condition score, pet diet, lameness, lipoma, allergic dermatitis, kidney disease, cystitis, inappetence, private veterinary practice
- MeSH terms
- Animals, Breeding, Cat Diseases, Cats, Cross-Sectional Studies, Data Collection, Dental Calculus, Diet, Dog Diseases, Dogs, Female, Gingivitis, Health Status, Male, Private Practice, Risk Factors, United States, Veterinary Medicine, Prevalence, Databases, Factual, Age Distribution, Sex Distribution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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