Study Sets Baseline for Sleep Patterns in Healthy Adult Dogs
For Immediate Release
A new canine sleep study from North Carolina State University could serve as a baseline for research on chronic pain and cognitive dysfunction in dogs, potentially improving detection and treatment of these conditions.
“The study was necessary because research on dogs and sleep has outpaced our basic knowledge about what a ‘normal’ sleep/wake cycle looks like,” says Margaret Gruen, assistant professor of behavioral medicine at NC State and corresponding author of the work. “The studies currently available are over 20 years old, only followed small numbers of dogs or dogs that were not in a home environment, and didn’t really capture data that is relevant to how dogs live (and sleep) now. We designed the study to update these findings and fill the knowledge gap.
“And for me, someone interested in how dogs develop and age, it’s a critically missing gap: we talk about a symptom of age-related cognitive dysfunction in dogs as being a disruption in the sleep/wake cycle without really understanding where the baseline is.”
The study followed 42 healthy adult dogs – 21 male and 21 female – ranging in age from 2 to 8 years old. The dogs wore activity monitors on their collars for a two-week period, and their owners filled out a questionnaire on the dogs’ sleep patterns. Functional linear modeling of the activity data showed that most dogs have two activity peaks during the day: a shorter window from 8 a.m. to 10 a.m., followed by a midday lull and a longer active period from about 5 p.m. to 11 p.m. All dogs were more active during weekends than weekdays.
“Since most of the participants were pets of people who work outside the home, we saw that the dogs were most active when human interaction happens,” Gruen says. “There were the occasional outliers – we did capture some midday ‘zoomies’ – but the pattern held true on average across 14 days for each dog. These findings aren’t surprising – they line up with many of the assumptions we’ve been making, but now the data are characterized and documented.”
The research revealed that weight and sex had an effect on the active periods; lighter dogs tended to be more active in a short period just after midnight, while female dogs seemed to be more active during the evening peak than males. Even in these healthy adult dogs, age had an effect; older dogs were less active during the peak activity times.
“Our hope is that this will serve as a foundational study for future work on the relationship between pain, cognitive dysfunction and sleep disruption, and as a study that is relevant to the way dogs live now,” Gruen says. “By establishing norms, we can better identify abnormalities and intervene earlier in the process. We can also use this as a baseline to evaluate development of adult sleep patterns in puppies.”
The research appears in Scientific Reports. NC State graduate student Hope Woods is first author. Duncan Lascelles, professor of translational pain research and management at NC State, also contributed to the work. Evolutionary anthropologist David Samson and his team, from the University of Toronto, Canada, created the functional linear models.
Note to editors: An abstract follows.
“Let sleeping dogs lie: A functional linear modeling approach to sleep-wake cycles in dogs”
Authors: Margaret Gruen, Hope Woods, Duncan Lascelles, North Carolina State University; Ming Fei Li, Ujas Patel, David Samson, University of Toronto, Canada
Published: Online Dec. 17, 2020 in Scientific Reports
The study of companion (pet) dogs is an area of great translational potential, as they share many conditions that afflict both dogs and humans. These include conditions that affect sleep, including chronic pain and cognitive dysfunction. Significant advancements have been made in the ability to study sleep in dogs, including the development of non-invasive polysomnography; however, basic understanding of dog sleep patterns remains poorly characterized. The purpose of this study was to establish baseline sleep-wake cycle and activity patterns using actigraphy and functional linear modeling (FLM), for healthy, adult companion dogs. Forty-two dogs were enrolled and wore activity monitors for 14 days. FLM demonstrated a bimodal pattern of activity with significant effects of sex, body mass, and age; the effect of age was particularly evident during the times of peak activity. This study demonstrated that FLM can be used to describe normal sleep-wake cycles of healthy adult dogs and the effects of physiologic traits on these patterns of activity. This foundation makes it possible to characterize deviations from normal patterns, including those associated with chronic pain and cognitive dysfunction syndrome. This can improve detection of these conditions in dogs, benefitting them and their potential as models for understanding human disease.