Li Yuhuan, Sexton Courtney L, Fitzpatrick Annette, Ruple Audrey
Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, United States of America.
Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.
PLoS One. 2025 Sep 10;20(9):e0330257. doi: 10.1371/journal.pone.0330257. eCollection 2025.
Understanding dog behavior, especially in the context of the human social environment, is critical to maintaining positive human-dog interactions and relationships. Furthermore, behavior can be an important indicator of health and welfare in companion dogs. Behavioral change can signal transitions in life stages, alert caretakers to potential illnesses or injuries, and is an important factor in understanding and measuring stress. In order to take advantage of behavioral change as a biomarker, however, we must first have a behavioral baseline to assess. Thus, using owner-reported data from dogs enrolled in the Dog Aging Project (DAP) from 2020-2023, our aim was to establish baseline behavioral measures for 47,444 dogs, with the goal of using these measures in future research investigating behavioral change in dogs and short- and long-term health outcomes. Given that the data collection period spanned the 2019 coronavirus disease (COVID-19) lockdown period and its immediate aftermath, a secondary aim of this study was to evaluate whether year of project entry impacted average reported behavior scores in dogs and to investigate additional variables that may influence observed differences. In our analyses of cohort baseline and year-over-year changes among four composite behavior domains - Fear, Attention/Excitability, Aggression, and Trainability - we find that time (year of enrollment) had the highest influence on Trainability, wherein dogs enrolled in all three years after 2020 (2021-2023) had lower average reported scores than dogs enrolled in 2020. Several other variables, including breed, life stage, sex, spay/neuter status, size, primary residence, and primary activities, have positive and negative statistical associations with mean behavioral scores in all four domains.
了解犬类行为,尤其是在人类社会环境背景下的行为,对于维持积极的人犬互动和关系至关重要。此外,行为可以是伴侣犬健康和福利的重要指标。行为变化可以标志生命阶段的转变,提醒照顾者注意潜在的疾病或损伤,并且是理解和测量压力的重要因素。然而,为了将行为变化用作生物标志物,我们首先必须有一个行为基线来进行评估。因此,利用2020年至2023年参与犬类衰老项目(DAP)的犬只的主人报告数据,我们的目标是为47444只犬只建立行为基线测量值,目的是在未来研究犬类行为变化以及短期和长期健康结果时使用这些测量值。鉴于数据收集期跨越了2019冠状病毒病(COVID-19)封锁期及其刚结束后的时期,本研究的第二个目标是评估项目进入年份是否会影响犬只报告的平均行为得分,并调查可能影响观察到的差异的其他变量。在我们对四个综合行为领域——恐惧、注意力/兴奋性、攻击性和可训练性——的队列基线和逐年变化的分析中,我们发现时间(入学年份)对可训练性影响最大,其中2020年之后的所有三年(2021年至2023年)入学的犬只报告的平均得分低于2020年入学的犬只。其他几个变量,包括品种、生命阶段、性别、绝育/去势状态、体型、主要居住地和主要活动,在所有四个领域与平均行为得分都有正的和负的统计关联。