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Acta Veterinaria Scandinavica

Open Access

Exploring weight data on over 100,000 Swedish dogs of various breeds

  • Linda Andersson1Email author,
  • Marcin Kierczak2,
  • Veronika Scholz2,
  • Janet Johansson1 and
  • Åke Hedhammar1, 3
Acta Veterinaria Scandinavica201557(Suppl 1):O8

Published: 25 September 2015


Body WeightClaim DataHealth DataDiagnostic InformationWeight Data


This study aims to explore a unique resource of weight and health data for further studies on effects of body weight and body condition score on developmental degenerative and metabolic diseases in dogs.


Our study-data on weight at 12 months of age for more than 100,000 dogs of various breeds from the dog database at the Swedish Kennel Club (SKK) have enabled us to:

- provide a reference for further studies by characterizing distribution of adult body weights in various breeds, also stratified by other factors, e.g. sex.

- explore how weight influences hip and elbow status recorded in the same database.

- investigate how to combine these data with recording of body condition score and to merge them with diagnostic information as insurance claim data.


There is a wide range of body weights within all analyzed breeds as well as between the sexes within breeds. There is a pronounced correspondence between body weight at 12 months of age and radiological status of hips and elbows. It is also possible to include body condition score in further analyses and also to merge the data with anonymized information from an insurance claim database.


We showed that the available body weight data are well-suited for further studies on the role and effects of both weight and body condition score in various diseases in dogs.

Authors’ Affiliations

The Swedish Kennel Club, Stockholm, Sweden
Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden


© Andersson et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.