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The analysis of computer data regarding obesity and associated diseases in cats examined at private veterinary practices
Kocabağli, Neşe; Kutay, Halil Can; Dokuzeylül, Banu; Süer, İnci Nathalie Erdoğmuş; Alp, Müjdat.
Afiliação
  • Kocabağli, Neşe; Istanbul University. Faculty of Veterinary Medicine. Department of Animal Nutrition and Nutritional Diseases. Istanbul. TR
  • Kutay, Halil Can; Istanbul University. Faculty of Veterinary Medicine. Department of Animal Nutrition and Nutritional Diseases. Istanbul. TR
  • Dokuzeylül, Banu; Istanbul University. Faculty of Veterinary Medicine. Department of Internal Medicine. Istanbul. TR
  • Süer, İnci Nathalie Erdoğmuş; Istanbul University. Faculty of Veterinary Medicine. Department of Animal Nutrition and Nutritional Diseases. Istanbul. TR
  • Alp, Müjdat; Istanbul University. Faculty of Veterinary Medicine. Department of Animal Nutrition and Nutritional Diseases. Istanbul. TR
Acta sci. vet. (Impr.) ; 45: 1-5, 2017. tab, graf
Article em En | VETINDEX | ID: biblio-1457615
Biblioteca responsável: BR68.1
Localização: BR68.1
ABSTRACT

Background:

Cats can be defined as being overweight if their bodyweight is 15% above optimum weight and classified as obese if they are more than 30% above their optimum weight. There is a general agreement among investigators that the incidence of excess body weight in cats is increasing. Obesity has considerable impacts on the health of cats and is linked to a variety of health issues including orthopedic disease, diabetes mellitus and non-allergic skin conditions. The purpose of the present study was to evaluate the relationship between obesity and associated diseases in cats examined at some veterinary practices in Istanbul-Turkey. Materials, Methods &

Results:

Data of 2,272 patients examined at four private veterinary practicesin Istanbul was studied to reveal the association between body weight and diseases. Information regarding sex, age and neutering status was also considered for each patient. Patients were classified according to their body weight to three groups as lightweight (female 3.0 kg and under, male 4.5 kg and under), optimum -weight (female 3.0-4.5 kg, male 4.5-5.5 kg) and overweight/obese (female 4.5 kg and over, male 5.5 kg and over). Accounting all adult cats treated by the clinics, diagnoses of osteoarthritis, heart diseases, dermatological diseases, hepatic lipidosis, metabolic syndrome - diabetes mellitus, lameness, gastrointestinal diseases, musculoskeletal diseases, neoplasia and urinary diseases were statistically evaluated. Considering data coming from 2,272 cats, which were referred to veterinary practices, 33.12%, were classified as overweight-obese, 40.04% were optimum-weight and 26.84% were lightweight. It was determined that overweight-obese cats were more likely to be diagnosed with osteoarthritis and hepatic lipidosis compared to other groups (P < 0.05). Overweight-obese cats were more likely to be diagnosed with gastrointestinal disease and neoplasia compared to lightweight cats (P < 0.05).[...]
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Texto completo: 1 Base de dados: VETINDEX Idioma: En Revista: Acta sci. vet. (Impr.) / Acta sci. vet. (Online) Ano de publicação: 2017 Tipo de documento: Article
Texto completo: 1 Base de dados: VETINDEX Idioma: En Revista: Acta sci. vet. (Impr.) / Acta sci. vet. (Online) Ano de publicação: 2017 Tipo de documento: Article