{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T20:28:27Z","timestamp":1787257707281,"version":"build-2736575974"},"reference-count":20,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Canine obesity causes metabolic issues and reduces quality of life. Assessing adiposity remains challenging due to limited indirect and reference methods. Electrical bioimpedance (BIA) is a proposed tool, but agreement between morphometric and BIA equations, and the body condition score (BCS) role, remains poorly explored in heterogeneous canine populations.<\/jats:p>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To evaluate agreement among indirect methods (BCS, morphometry, BIA) for estimating canine body fat and assess BIA's viability for nutritional evaluation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>A cross-sectional study included 17 healthy dogs from Villamar\u00eda, Colombia. Body condition was assessed using 5- and 9-point scales. Morphometric variables and single-frequency 50 kHz BIA parameters (resistance, reactance, phase angle) were recorded. Body fat percentage (%BF) was estimated using four established equations. Method agreement was evaluated via Bland\u2013Altman analysis and Lin's concordance correlation coefficient (CCC). Differences in bioelectrical parameters and lipid profiles between obese and lean dogs were analyzed using independent t-tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Morphometric methods showed the highest agreement (CCC = 0.759). Conversely, comparisons involving BIA-derived equations exhibited low or negative agreement, with Bland\u2013Altman analyses revealing wide limits of agreement. Obese dogs had higher resistance and lower phase angles than lean dogs, though differences were not statistically significant (p &gt; 0.05). This lack of significance must be interpreted cautiously due to the small sample size, particularly the obese group (n = 4). HDL cholesterol was significantly lower in obese dogs (p = 0.030), with no differences in total cholesterol.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The evaluated indirect methods showed poor agreement and are not clinically interchangeable. Without a reference method like DEXA, accuracy cannot be determined. While raw BIA parameters aligned physiologically with body condition, their use remains preliminary and requires validation in larger, reference-controlled studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2478\/joeb-2026-0009","type":"journal-article","created":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T12:56:40Z","timestamp":1785761800000},"page":"59-66","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of indirect methods for estimating body fat in dogs using electrical bioimpedance and morphometry"],"prefix":"10.2478","volume":"17","author":[{"given":"Daniel","family":"Montoya-Barbosa","sequence":"first","affiliation":[{"name":"Master in Veterinary Sciences , Universidad de Caldas , Manizales , Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clara Helena","family":"Gonz\u00e1lez-Correa","sequence":"additional","affiliation":[{"name":"Department of Basic Sciences , Universidad de Caldas , Manizales , Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Narv\u00e1ez-Solarte","sequence":"additional","affiliation":[{"name":"Master in Veterinary Sciences , Universidad de Caldas , Manizales , Colombia"},{"name":"Department of Animal Health, Research Group in Nutrition, Metabolism and Food Security , Universidad de Caldas , Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"2026082019594677340_j_joeb-2026-0009_ref_001","doi-asserted-by":"crossref","unstructured":"Tvarijonaviciute A, Mu\u00f1oz-Prieto A, Martinez-Subiela S. Obesity in Humans and Dogs: Similarities, Links, and Differences. In: Pastorinho MR, Sousa ACA, editores. Pets as Sentinels, Forecasters and Promoters of Human Health. Cham: Springer International Publishing; 2020: p. 143\u201372. http:\/\/link.springer.com\/10.1007\/978-3-030-30734-9_8","DOI":"10.1007\/978-3-030-30734-9_8"},{"key":"2026082019594677340_j_joeb-2026-0009_ref_002","unstructured":"Preet GS, Turkar S, Gupta S, Kumar S. Dog obesity: Epidemiology, risk factors, diagnosis and management: A review paper. Pharma Innovation. 2021;10(5):698\u2013705."},{"key":"2026082019594677340_j_joeb-2026-0009_ref_003","doi-asserted-by":"crossref","unstructured":"Rae LS, Vankan DM, Rand JS, Flickinger EA, Ward LC. Measuring body composition in dogs using multifrequency bioelectrical impedance analysis and dual energy X-ray absorptiometry. 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