Literature DB >> 33397375

'Generation Pup' - protocol for a longitudinal study of dog behaviour and health.

Jane Katherine Murray1, Rachel Heather Kinsman2, Michelle Susannah Lord3, Rosa Elizabete Pinto Da Costa2, Joshua Luke Woodward2, Sara Cecylia Owczarczak-Garstecka2, Séverine Tasker4,5, Toby Grahame Knowles5, Rachel Alison Casey2.   

Abstract

BACKGROUND: Despite extensive research, many questions remain unanswered about common problems that impact dog welfare, particularly where there are multiple contributing factors that can occur months or years before the problem becomes apparent. The Generation Pup study is the first longitudinal study of dogs that recruits pure- and mixed-breed puppies, aiming to investigate the relative influence of environmental and genetic factors on a range of health and behaviour outcomes, (including separation related behaviour, aggression to familiar/unfamiliar people or dogs and obesity). This paper describes the study protocol in detail.
METHODS: Prior to commencing recruitment of puppies, the study infrastructure was developed, and subject specialists were consulted to inform data collection methodology. Questionnaire content and timepoint(s) for data collection for outcomes and potential predictors were chosen with the aim of providing the best opportunity of achieving the aims of the study, subject to time and funding constraints. Recruitment of puppies (< 16 weeks, or < 21 weeks of age if entering the United Kingdom or Republic of Ireland through quarantine) is underway. By 23 January 2020, 3726 puppies had been registered, with registration continuing until 10,000 puppies are recruited. Data collection encompasses owner-completed questionnaires issued at set timepoints throughout the dog's life, covering aspects such as training, diet, exercise, canine behaviour, preventative health care, clinical signs and veterinary intervention. Owners can elect to submit additional data (health cards completed by veterinary professionals, canine biological samples) and/or provide consent for access to veterinary clinical notes. Incidence and breed associations will be calculated for conditions for which there is currently limited information (e.g. separation related behaviour). Multivariable statistical analysis will be conducted on a range of outcomes that occur throughout different life stages, with the aim of identifying modifiable risk factors that can be used to improve canine health and welfare. DISCUSSION: The Generation Pup project is designed to identify associations between early-life environment, genotypic make-up and outcomes at different life stages. Modifiable risk factors can be used to improve canine health and welfare. Research collaboration with subject specialists is welcomed and already underway within the fields of orthopaedic research, epilepsy, epigenetics and canine impulsivity.

Entities:  

Keywords:  Behaviour; Canine; Cohort; Dog; Environmental; Genetic; Health; Longitudinal; Management; Puppy

Mesh:

Year:  2021        PMID: 33397375      PMCID: PMC7781182          DOI: 10.1186/s12917-020-02730-8

Source DB:  PubMed          Journal:  BMC Vet Res        ISSN: 1746-6148            Impact factor:   2.741


  1 in total

1.  Do Dog Behavioral Characteristics Predict the Quality of the Relationship between Dogs and Their Owners?

Authors:  Christy L Hoffman; Pan Chen; James A Serpell; Kristen C Jacobson
Journal:  Hum Anim Interact Bull       Date:  2013
  1 in total
  9 in total

1.  Understanding the dog population in the Republic of Ireland: insight from existing data sources?

Authors:  Simon J More; Daniel M Collins; Natascha V Meunier; Locksley L McV Messam; Rob Doyle; Aiden Maguire; Sean Murray; Patricia Reilly; Catherine Lawler
Journal:  Ir Vet J       Date:  2022-07-14       Impact factor: 2.359

2.  Is Dog Owner Obesity a Risk Factor for Canine Obesity? A "One-Health" Study on Human-Animal Interaction in a Region with a High Prevalence of Obesity.

Authors:  Lourdes Suarez; Inmaculada Bautista-Castaño; Cristina Peña Romera; José Alberto Montoya-Alonso; Juan Alberto Corbera
Journal:  Vet Sci       Date:  2022-05-22

3.  Why Do People Want Dogs? A Mixed-Methods Study of Motivations for Dog Acquisition in the United Kingdom.

Authors:  Katrina E Holland; Rebecca Mead; Rachel A Casey; Melissa M Upjohn; Robert M Christley
Journal:  Front Vet Sci       Date:  2022-05-10

4.  How Old Is My Dog? Identification of Rational Age Groupings in Pet Dogs Based Upon Normative Age-Linked Processes.

Authors:  Naomi D Harvey
Journal:  Front Vet Sci       Date:  2021-04-27

5.  "More Attention than Usual": A Thematic Analysis of Dog Ownership Experiences in the UK during the First COVID-19 Lockdown.

Authors:  Katrina E Holland; Sara C Owczarczak-Garstecka; Katharine L Anderson; Rachel A Casey; Robert M Christley; Lauren Harris; Kirsten M McMillan; Rebecca Mead; Jane K Murray; Lauren Samet; Melissa M Upjohn
Journal:  Animals (Basel)       Date:  2021-01-19       Impact factor: 2.752

6.  Evidence that faecal carriage of resistant Escherichia coli by 16-week-old dogs in the United Kingdom is associated with raw feeding.

Authors:  Oliver Mounsey; Kezia Wareham; Ashley Hammond; Jacqueline Findlay; Virginia C Gould; Katy Morley; Tristan A Cogan; Katy M E Turner; Matthew B Avison; Kristen K Reyher
Journal:  One Health       Date:  2022-01-15

7.  Pandemic Puppies: Demographic Characteristics, Health and Early Life Experiences of Puppies Acquired during the 2020 Phase of the COVID-19 Pandemic in the UK.

Authors:  Claire L Brand; Dan G O'Neill; Zoe Belshaw; Camilla L Pegram; Kim B Stevens; Rowena M A Packer
Journal:  Animals (Basel)       Date:  2022-03-02       Impact factor: 2.752

8.  Accessing veterinary healthcare during the COVID-19 pandemic: A mixed-methods analysis of UK and Republic of Ireland dog owners' concerns and experiences.

Authors:  Sara C Owczarczak-Garstecka; Katrina E Holland; Katharine L Anderson; Rachel A Casey; Robert M Christley; Lauren Harris; Kirsten M McMillan; Rebecca Mead; Jane K Murray; Lauren Samet; Melissa M Upjohn
Journal:  Vet Rec       Date:  2022-05-05       Impact factor: 2.560

Review 9.  Use of Omics Data in Fracture Prediction; a Scoping and Systematic Review in Horses and Humans.

Authors:  Seungmee Lee; Melissa E Baker; Michael Clinton; Sarah E Taylor
Journal:  Animals (Basel)       Date:  2021-03-30       Impact factor: 2.752

  9 in total

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