Evidence map›Paper›PMID 42549184›Full record

ArticleJournal of electrical bioimpedance2026

Evaluation of indirect methods for estimating body fat in dogs using electrical bioimpedance and morphometry.

Daniel Montoya-Barbosa, Clara Helena González-Correa, William Narváez-Solarte

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Article in Journal of electrical bioimpedance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Daniel Montoya-BarbosaMaster in Veterinary Sciences, Universidad de Caldas, Manizales, Colombia.
Clara Helena González-CorreaDepartment of Basic Sciences, Universidad de Caldas, Manizales, Colombia.
William Narváez-SolarteMaster in Veterinary Sciences, Universidad de Caldas, Manizales, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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. Objective: To evaluate agreement among indirect methods (BCS, morphometry, BIA) for estimating canine body fat and assess BIA's viability for nutritional evaluation. Materials and methods: A cross-sectional study included 17 healthy dogs from Villamaría, 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-Altman 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. Results: Morphometric methods showed the highest agreement (CCC = 0.759). Conversely, comparisons involving BIA-derived equations exhibited low or negative agreement, with Bland-Altman 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 > 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. Conclusion: 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.

Indexed as

body compositionbody fatcanine obesityElectrical bioimpedancemorphometryphase angle

Identifiers

PMID42549184
PMCPMC13431023

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