Evidence map›Paper›PMID 40604839›Full record

ArticleBMC veterinary research2025

Modifiable early life risk factors for dental calculus in dogs: a retrospective cross-sectional study in Finland.

Manal B M Hemida, Sarah Holm, Mia Eklundh, Anna Hielm-Björkman

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Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Manal B M HemidaDepartment of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland. manal.hemida@helsinki.fi.
Sarah HolmDepartment of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
Mia EklundhTiffycon Consulting, Espoo, Finland.
Anna Hielm-BjörkmanDepartment of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDental calculus (DC) in dogs is a common oral health issue that can result in discomfort and may lead to systemic complications, if not managed effectively. While dental care practices are often overlooked by many owners, it remains crucial to identify and address possible DC risk and protective factors. The present retrospective cross-sectional study sought to examine the early life factors contributing to the emergence of owner-reported DC in dogs later in life, emphasizing the impact of modifiable variables. The study examined exposure data across five pivotal early life stages, starting prenatally and extending into adolescence. Multivariate logistic regression analyses using backward stepwise deletion were performed using data from 4771 dogs, including 2360 cases and 2411 controls, to examine the potential associations between DC in dogs and 29 distinct early life variables across five statistical models. The study incorporated a range of independent variables, including dietary, environmental, demographic, domestic, and immune-related factors. Additionally, the study aimed to compare between energy value and macronutrient composition of non-processed meat-based diets and ultra-processed carbohydrate-based diets available on the Finnish market.

resultsOur research indicated that dogs fed a non-processed meat-based diet during the weaning period, puppyhood, and adolescence, which corresponds to the age range of 1 month to 1 or 1.5 years, were associated with a significantly lower risk of developing DC later in life. Conversely, dogs consumed an ultra-processed carbohydrate-based diet during the same periods was associated with a significantly higher risk (p = 0.01, p = 0.001, and p = 0.02 for weaning, puppyhood, and adolescence, respectively). Additionally, residing with other dogs was significantly associated with a decreased likelihood of DC development later in life (p = 0.015). Moreover, from the non-modifiable factors model, a maternal history of DC and small size of the dog were strongly associated with an increased risk of DC development later in life.

conclusionsIn addition to the well-known non-modifiable risk factors, such as age and size of the dog, the current study revealed potential associations between modifiable early life exposures and development of DC later in life, including early diets and living with other dogs. However, controlled diet-intervention studies remain necessary to substantiate these connections.

Indexed as

Dental CalculusDog DiseasesAnimal FeedAnimalsCross-Sectional StudiesDietDogsFemaleFinlandMaleRetrospective StudiesRisk FactorsCalculusDentalDietDogsEarlyLifeMeatPeriodontalRiskTartar

Identifiers

PMID40604839
PMCPMC12224493

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.