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Source study found

Story checked

Who moves first at night, you or your dog? (opens in a new tab)

news-medical.net · 2026-10-12

Short answerEvidenceSource

Short answer

Mixed

Mixed.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 3 supported
  • 2 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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Follow the evidence trail
1
2

NewsLink checks it

Mixed

Every claim we could check holds up. Three of five claims match the study. This overall rating is based only on the claims we could check. Two claims the study doesn't address.

  • 3 supported
  • 2 not covered
Open claim evidence
3
Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

5 claims in this story

Showing all 5 claimsChoose a verdict to focus the list.

Claim 1 of 5Not coveredThe study monitored 25 adults and 38 dogs in Ontario for about four weeks using wearable MotionWatch 8 accelerometers on humans and sensor-fitted collars on dogs.View evidenceHide evidence

As stated25 adults and 38 dogs; about four weeks

Why this verdict

The abstract-level profile supports an observational accelerometer study of 25 Canadian participants and 38 human-dog pairs. However, it does not verify several specifics in the story claim, including Ontario, about four weeks of monitoring, MotionWatch 8 devices, or sensor-fitted collars. The profile says accelerometers/actigraphy were used but lacks those device and duration details.

1

Study evidence

No tested predictors (including co-sleeping/bedsharing, dog sleeping location, household composition) were significantly associated with objective human sleep measures (duration or efficiency) or dog nighttime activity in linear mixed-effects models.

“we examined the nighttime activity of 25 Canadian participants, totaling 38 human-dog pairs using accelerometers and survey data.”
2

Study evidence

Human and dog nighttime activities were significantly correlated.

“Human and dog nighttime activities were found to be significantly correlated.”
Claim 2 of 5Not coveredThe authors note important limitations including the small sample, restriction to huskies and malamutes, COVID-19 restrictions, lack of a non-dog-owning comparison group, and absence of direct behavioral observation.View evidenceHide evidence

Why this verdict

The abstract-level profile supports small sample size as a limitation and notes generalizability limits, actigraphy limitations, and missing model/preprocessing detail at abstract level. It does not verify several limitations listed in the story claim, including restriction to huskies and malamutes, COVID-19 restrictions, lack of a non-dog-owning comparison group, or absence of direct behavioral observation.

1

Study evidence

No tested predictors (including co-sleeping/bedsharing, dog sleeping location, household composition) were significantly associated with objective human sleep measures (duration or efficiency) or dog nighttime activity in linear mixed-effects models.

“we examined the nighttime activity of 25 Canadian participants, totaling 38 human-dog pairs using accelerometers and survey data.”
2

Study evidence

Having multiple dogs was associated with poorer self-reported sleep quality.p = 0.042

“a generalized linear model to assess the effects of demographic variables on self-reported sleep quality.”
Claim 3 of 5SupportedA recent study published in PLOS ONE by researchers at the University of Toronto examined how sleeping arrangements and household characteristics relate to human sleep quality and dogs' nighttime activity, and how humans and their dogs time their activity.View evidenceHide evidence

Why this verdict

The supplied profile supports the study scope: it assessed co-sleeping/bedsharing and household or demographic factors in relation to objective human sleep, dog nighttime activity, self-reported sleep quality, and human-dog activity timing. The profile does not separately verify the University of Toronto attribution or PLOS ONE publication metadata, but the scientific framing of what the study examined is supported.

1

Study evidence

No tested predictors (including co-sleeping/bedsharing, dog sleeping location, household composition) were significantly associated with objective human sleep measures (duration or efficiency) or dog nighttime activity in linear mixed-effects models.

“we examined the nighttime activity of 25 Canadian participants, totaling 38 human-dog pairs using accelerometers and survey data.”
2

Study evidence

Having multiple dogs was associated with poorer self-reported sleep quality.p = 0.042

“a generalized linear model to assess the effects of demographic variables on self-reported sleep quality.”
Claim 4 of 5SupportedHuman and dog nighttime activities were positively associated, with human movement preceding dog movement more often than the reverse among pairs with identifiable peaks, but the timing could not establish causation.View evidenceHide evidence

As statedhuman movement preceded dog movement in 10 of 22 associated pairs; dog movement preceded human movement in 4

Why this verdict

The profile supports significant temporal correlation between human and dog nighttime activity and reports that, among correlated dyads, human activity preceded dog activity more often than dog activity preceded human activity, with synchronized activity also observed. The story’s causal caveat is appropriate for the observational lag-correlation analysis. Exact count wording such as 10 of 22 is not directly given in the profile, which reports percentages, but the directional claim is supported.

1

Study evidence

Human and dog nighttime activities were significantly correlated.

“Human and dog nighttime activities were found to be significantly correlated.”
Claim 5 of 5SupportedBedsharing arrangements were not significantly associated with objectively measured human sleep duration, sleep efficiency, or canine nighttime activity, and owners of multiple dogs reported poorer subjective sleep quality.View evidenceHide evidence

Why this verdict

The profile reports that no tested predictors, including co-sleeping/bedsharing and household composition, significantly affected objective human sleep duration or efficiency or dog nighttime activity. It also reports that having multiple dogs was associated with poorer self-reported sleep quality, with p = 0.042, while objective sleep measures were not affected.

1

Study evidence

No tested predictors (including co-sleeping/bedsharing, dog sleeping location, household composition) were significantly associated with objective human sleep measures (duration or efficiency) or dog nighttime activity in linear mixed-effects models.

“we examined the nighttime activity of 25 Canadian participants, totaling 38 human-dog pairs using accelerometers and survey data.”
2

Study evidence

Having multiple dogs was associated with poorer self-reported sleep quality.p = 0.042

“a generalized linear model to assess the effects of demographic variables on self-reported sleep quality.”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • At abstract depth, full model specifications, covariate adjustments, confidence intervals, preprocessing details, and significance thresholds are not available.

    The story does not mention this evidence-depth limitation, which matters for evaluating the strength and precision of the reported null and lead-lag findings.

    From Observational accelerometer study (human and dog actigraphy) with mixed-effects regression and time-series lag analysis;

9 things the story did carry across
  • The paper is an observational human-dog actigraphy/accelerometry study assessing associations between co-sleeping/bedsharing, household factors, objective human sleep, dog nighttime activity, and activity timing.
  • The abstract-level profile reports 25 Canadian participants and 38 human-dog pairs measured with accelerometers/actigraphy.
  • No tested predictors, including co-sleeping/bedsharing and household composition, significantly affected objective human sleep duration or efficiency or dog nighttime activity.
  • Having multiple dogs was associated with poorer self-reported sleep quality, while objective sleep measures showed no corresponding effect.
  • Human and dog nighttime activities were significantly correlated in a majority of dyads, and human-leading activity was more common than dog-leading activity among correlated dyads.
  • The study is observational, so associations and lead-lag timing do not establish causal disruption by either humans or dogs.
  • Small sample size limits statistical power, precision, and generalizability.
  • The Canadian sample may limit generalizability to other populations or contexts.
  • Actigraphy/accelerometry may not capture all types of sleep disturbance or qualitative aspects of sleep, and self-reported sleep may diverge from objective sleep metrics.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

3

Evidence read

study summary

Lead result

human in vivo

1Lead resulthuman in vivoAssess whether human sleep and dog nighttime activity (including co-sleeping/bedsharing and other household/demographic factors) are associated with objective sleep/activity outcomes measured by accelerometry.Observational accelerometer study (human and dog actigraphy) with mixed-effects regression and time-series lag analysisExpand

In plain English

Observational accelerometer study of 25 Canadian participants (38 human–dog pairs) that used wearable actigraphy, survey covariates, linear mixed-effects models (and a GLM for self-reported sleep) to test whether co-sleeping/bedsharing and household factors predict objective human sleep (duration, efficiency) or dog nighttime activity. The study found no significant associations between the tested predictors and objective sleep/activity outcomes, but reported that having multiple dogs was associated with poorer self-reported sleep (p = 0.042). Time-series lag analysis indicated correlated activity in 61% of dyads, with human activity more often preceding dog activity than vice versa, and with some minute-level synchronization.

Key findings

  • No tested predictors (including co-sleeping/bedsharing, dog sleeping location, household composition) were significantly associated with objective human sleep measures (duration or efficiency) or dog nighttime activity in linear mixed-effects models.
  • Co-sleeping (bedsharing) had no effect on human sleep duration or efficiency, nor on dog nighttime activity.
“we examined the nighttime activity of 25 Canadian participants, totaling 38 human-dog pairs using accelerometers and survey data.”
What this piece can’t prove
  • Small observational sample (25 human participants, 38 human–dog pairs) which may limit statistical power and generalizability.
  • Actigraphy/accelerometry may not capture all types of sleep disturbance or qualitative aspects of sleep; survey-based self-report measures differ from objective metrics (noted discrepancy).
  • Results are from a Canadian sample and may not generalize to other populations or contexts.

1 further detail could not be confirmed from the summary.

2human in vivoAssess whether household/demographic factors (e.g., multiple dogs, dog sleeping location) are associated with humans’ self-reported sleep quality, and compare subjective vs objective sleep findings.Observational GLM analysis of self-reported sleep qualityExpand

In plain English

In an observational analysis of 25 Canadian participants (38 human–dog pairs), self-reported sleep quality was modeled using a generalized linear model with demographic/household predictors (including dog sleeping location and presence of multiple dogs). Having multiple dogs was associated with poorer subjective sleep (p = 0.042), while dog sleeping location did not affect perceived sleep quality. These subjective associations contrasted with null findings for objective accelerometer-derived sleep measures reported elsewhere in the study, indicating a discrepancy between self-reported and objectively measured sleep.

Key findings

  • Having multiple dogs was associated with poorer self-reported sleep quality.p = 0.042
  • Dog sleeping location did not affect human perceived sleep quality.
“a generalized linear model to assess the effects of demographic variables on self-reported sleep quality.”
What this piece can’t prove
  • Relatively small sample (25 participants, 38 human–dog pairs) limits precision and generalizability.
  • Observational design; associations do not imply causation.
  • Outcome is self-reported sleep quality, which can be subject to reporting bias and may not align with objective sleep metrics.
  • Abstract does not report full model specification (covariates, effect estimates, confidence intervals) beyond the p-value for multiple dogs.
3human in vivoCharacterize coupling and directionality in human–dog nighttime activity using time-series/lagged correlation analyses to evaluate who tends to ‘lead’ changes in activity.Time-series lagged correlation (1-minute epochs, up to 5-minute lag)Expand

In plain English

Time-series lagged correlation analysis of paired human and dog accelerometry within nights (1-minute epochs, up to 5-minute lags) found significant temporal coupling in a majority of dyads; when coupling was present human activity more often preceded dog activity than vice versa, and a substantial fraction of dyads showed synchronized activity within the same 1-minute epoch.

Key findings

  • Human and dog nighttime activities were significantly correlated.
  • 61% of dyads showed correlation in activity states.61% of dyads
“Human and dog nighttime activities were found to be significantly correlated.”
What this piece can’t prove
  • Sample size is modest (abstract reports 25 participants, 38 human–dog pairs), which may limit precision of proportion estimates.

2 further details could not be confirmed from the summary.

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Method layer

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Papers considered

The selected paper, plus nearby candidates.

PubMed, Europe PMC, Crossref · 39 candidate papers

And 33 more candidates considered.