Feline obesity: risk factors and clinical and metabolic findings

Camila Moura de Lima, Gustavo Antônio Boff, Sergiane Baes Pereira, Alexsander Ferraz, Fábio Raphael Pascoti Bruhn, Mariana Cristina Hoeppner Rondelli, Márcia de Oliveira Nobre


Excess body fat can cause a series of metabolic and mechanical effects on the body. Therefore, this study aimed to verify the clinical, metabolic, and risk factors of overweight (OW) cats. For the acceptance of participation in the research, the tutors were asked to answer a questionnaire containing 34 questions and to point out the body condition score (BCS) on a sheet containing nine images of different scores (1 to 9 on a 9-point scale). Thereafter, the body evaluations were performed as a classification of the BCS on a scale from 1 to 9, with an ideal score (IS) of BCS 5 and OW for BCS > 5. Further, the lean mass index and morphometric measurements (thoracic and abdominal circumferences and height and length of the patella to calcaneal tuberosity) were performed to estimate the percentage of body fat. Systolic blood pressure was measured using the non-invasive Doppler method and blood was collected for hemogram and serum biochemistry (creatinine, urea, alanine aminotransferase, alkaline phosphatase, gamma-glutamyl transferase, glucose, triglycerides, and cholesterol). After these analyses, we sought to guide and raise the awareness of the tutors to promote the correct nutritional and environmental management of the animals. Thirty adult cats were divided into two groups, based on the classification of the BCS, with eight having an IS and 22 being OW. The OW group was found to have a low level of physical activity, hypercholesterolemia, and higher values of body characteristics. Additionally, there was a median agreement between the perceptions of the clinician and the tutors. Therefore, it was concluded that the main laboratory alteration found in the obese cats was hypercholesterolemia, which was a critical parameter. It was observed that a low degree of physical activity could cause excess weight gain. It was found that the guardians of the cats with ideal weight underestimated the BCS, which could contribute to the supply of excess food and consequently, obesity. Thus, this study was sought to guide and raise the awareness of tutors, to promote the correct nutritional and environmental management thereby providing welfare and quality of life to the animals.


Clinic; Cats; Overweight; Quality of life.

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Acierno, M. J., Brown, S., Coleman, A. E., Jepson, R. E., Papich, M., Stepien, R. L., & Syme, H. M. (2018). ACVIM consensus statement: Guidelines for the identification, evaluation, and management of systemic hypertension in dogs and cats. Journal of Veterinary Internal Medicine, 32(6), 1803-1822. doi: 10.111 1/jvim.15331

Aguiar, D. S., Torres, M. A. O., Chaves, D. P., Martins, N. S., Cavalcante, E. C. C., & Teofilo, T. S. (2018). Biochemical serum profile of obese domestic cats from São Luís city, Maranhão. Revista de Ciências Agroveterinárias, 17(2), 254-259. doi: 10.5965/223811711722018254

Alves, R. S., Barbosa, R. C. C., Cheren, M. W., Silva, L. E., & Souza, H. J. M. (2017). Frequency and risk factors of obesity in a population of domestic cats from Rio de Janeiro. Brazilian Journal of Veterinary Medicine, 39(1), 33-45. doi: 10.29374/2527-2179.bjvm0081

Amat, M., Camps, T., & Manteca, X. (2016). Stress in owned cats: behavioural changes and welfare implications. Journal of Feline Medicine and Surgery, 18(8), 577-586. doi: 10.1177/1098612X155908 67

Aptekmann, K. P., Mendes, A. F., Jr., Passo, C. B., Secchin, M. C., & Galeas, M. A. V. (2014). Comparison of different methods of body assessing in cats. Revista Brasileira de Medicina Veterinária, 36(2), 215-218. Retrieved from http://rbmv.org/index.php/BJVM/article/view/496

Barbosa, R. C. C., Botelho, C. F. M., Alves, R. S., & Souza, H. J. M. (2018). Comparison among felines body mass index, leptin hormone serum level and body condition score to diagnose obesity in domestic cats. Revista Acta Scientiaeveterinarie, 46(1), 1-6. doi: 10.22456/1679-9216.84351

Behrend, E., Holford, A., Lathan, P., Rucinsky, R., & Schulman, R. (2018). 2018 AAHA Diabetes mangement Guidelines for dogs and cats. Journal of the American Animal Hospital Association, 54(1), 1-21. doi: 10.5326/JAAHA-MS-6822

Bonagura, J., & Twedt, D. (2008). Kirk’s current veterinary therapy XIV (14nd ed.). Philadelphia: Saunders.

Butterwick, R. (2000). How fat is that cat? Journal Feline Medicine Surgery, 2(2), 91-94. doi: 10.1053/jfms. 2000.0078

Chandler, M. L. (2016). Impact of obesity on cardiopulmonary disease. Veterinary Clinics of North America: Small Animal Practice, 46(5), 817-830. doi: 10.1016/j.cvsm.2016.04.005

Clark, M., & Hoenig, M. (2016). Metabolic effects of obesity and its interaction with endocrine diseases. Veterinary Clinics of North America: Small Animal Pratice, 46(5), 797-815. doi: 10.1016/j.cvsm.2016. 04.004

Costa, P. B., & Broin-Crivellenti, S. (2019). Glycemic homeostasis: molecular mechanisms, physiological consequences and glycemic measurement methods in dogs and cats. Investigação, 18(1), 1-12. doi: 10. 26843/investigacaov1812019p%25p

Coucier, E. E., Higgins, R. O., Mellor, D. J., & Yam, P. S. (2010). Prevalence and risk factors for feline obesity in a first opinion practice in Glasgow, Scoltland. Journal of Feline Medicine and Surgery, 12(10), 746-753. doi: 10.1016/j.jfms.2010.05.011

Dantas, L. M. S., Delgado, M. M., Johnson, I., & Buffington, C. A. T. (2016). Food puzzles for cats feeding for physical and emotional wellbeing. Journal of Feline Medicine and Surgery, 18(9), 723-732. doi: 10. 1177/1098612X16643753

Dean, A. G., Sullivan, K. M., & Soe, M. M. (2013). OpenEpi: open source epidemiologic statistics for public health, Version. Retrieved from www.OpenEpi.com

Ellis, S. L. H., Rodan, I., Carney, H. C., Heath, S., Rochlitz, I., Shearburn, L. D., Sundahl, E., & Westropp, J. L. (2013). AAFP and ISFM feline environmental needs guidelines. Journal of Feline Medicine and Surgery, 15(3), 219-230. doi: 10.1177/1098612X13477537

Fabretti, A. K., Gomes, L. A., Kemper, D. A. G., Chaves, R. O., Kemper, B., & Pereira, P. M. (2020). Clinical determination of the nutritional status of companion animals. Semina: Ciências Agrárias, 41(5), 1813-1830. doi: 10.5433/1679-0359.2020v41n51813

Flanagan, J., Bissot, T., Hours, M. A., Moreno, B., & German, A. J. (2018). An international multi-center cohort study of weight loss in overweight cats: differences in outcome in different geographical locations. Plos One, 13(7), 1-24. doi: 10.1371/journal.pone.0200414

Freeman, L., Becvarova, I., Cave, N., Mackay, C., Nguyen, P., Rama, B., Takashima, G., Tiffin, R., Tsjimoto, H., Beukelen, P., V. (2011). Wsava Nutritional assessment guidelines. Journal of Small Animal Practice, 52(7), 385-396. doi: 10.1111/j.1748-5827.2011.01079.x

Freitas, V. D., Castilho, A. R., Conceição, L. A. V., Sousa, V. R. F., Mendonça, A. J., Silva, F. G., & Almeida, A. B. P. F. (2018). Metabolic evaluation in overweight and obese cats and association with blood pressure. Revista Ciência Rural, 48(1), 1-5. doi: 10.1590/0103-8478cr20170217

German, A. J., Holden, S. L., Mason, S. L., Bryner, C., Bouldoires, C., & Morris, P. J. (2011). Imprecision when using measuring cups to weigh out extruded dry kibbled food. Journal of Animal Physiology and Animal Nutrition, 95(3), 368-373. doi: 10.1111/j.1439-0396.2010.01063.x

Heath, S. (2018). Understanding feline emotions: and their role in problem behaviours. Journal of Feline Medicine and Surgery, 20(5), 437-444. doi: 10.1177/1098612X18771205

Kaneko, J., Harvey, J., & Bruss, M. (2008). Clinical biochemistry of domestic animals (6nd ed.). New York: Academic Press.

Laflamme, D. P. (1997). Development and validation of a body condition score system for cats: a clinical tool. Feline Practice, 25(5/6), 13-18.

Laflamme, D. P. (2006). Understanding and managing obesity in dogs and cats. Veterinary Clinics of North America: Small Animal Practice, 36(6), 1283-1295. doi: 10.1016/j.cvsm.2006.08.005

Laflamme, D. P. (2012). Obesity in dogs and cats: what is wrong with being fat? Journal of Animal Science, 90(5), 1653-1662. doi: 10.2527/jas.2011-4571

Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159-174. doi: 10.2307/2529310

Lund, E. M., Armstrong, P. J., Kirk, C. A., & Klausner, J. S. (2005). Prevalence and risk factors for obesity in adult cats from private US veterinary practices. International Journal of Applied Research in Veterinary Medicine, 3(2), 88-96. doi: Retrieved from http://jarvm.com/articles/Vol3 Iss2/LUND.pdf

Mawby, D. I., Bartges, J. W., D´Avignon, A., Laflamme, D. P., Moyers, T. D., & Cottrell, T. (2004) Comparison of various methods for estimating body fat in dogs. Journal of the American Hospital Association, 40(2), 109-114. doi: 10.5326/0400109

Mccool, K. E., Rudinsky, A. J., Parker, C. O., & Gilor, H. C. (2018). The effect of diet, adiposity, and weight loss on the secretion of incretin hormones in cats. Domestic Animal Endocinology, 62(1), 67-75. doi: 10. 1016/j.domaniend.2017.10.004

Mendes, A. F., Jr., Passos, C. B., Gáleas, M. A. V., Secchin, M. C., & Aptekann, K. P. (2013). Prevalence and risk factors of feline obesity in Alegre, Espírito Santo, Brazil. Semina: Ciências Agrárias, 34(4), 1801-1806. doi: 10.5433/1679-0359.2013v34n4p1801

DOI: http://dx.doi.org/10.5433/1679-0359.2021v42n6p3305

Semina: Ciênc. Agrár.
Londrina - PR
E-ISSN 1679-0359
DOI: 10.5433/1679-0359
E-mail: semina.agrarias@uel.br
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