REF-400 · Baron KG, Abbott S, Jao N, Manalo N & Mullen R, 2017 · Journal of Clinical Sleep Medicine, · Paper · PubMed
Orthosomnia: Are some patients taking the quantified self too far?
Participants
Sleep-clinic patients seeking treatment for self-diagnosed sleep problems (insufficient sleep, insomnia) based on light/restless sleep shown by their trackers. Three case vignettes: Mr. R (40M), Ms. B (27F), Mr. S (69M) (full text, checked 2026-09-28).
Protocol
Patients presented to a sleep clinic with complaints driven by wearable tracker data
No systematic comparison: the paper cites validation studies showing low concordance of trackers with polysomnography and actigraphy; within the cases, overnight polysomnography was ordered clinically (Ms. B in the laboratory; Mr. S, who had severe OSA) (full text, checked 2026-09-28)
Key Results
Coined term "orthosomnia" (parallel to orthorexia): a perfectionistic quest for "ideal" sleep to optimize daytime function, driven by tracker data
Patients infer a link between tracker data and daytime fatigue; to them the tracker data feels more consistent with their experience than polysomnography or actigraphy
Ms. B: in-laboratory PSG showed an increased proportion of N3 (deep) sleep, yet she asked why her Fitbit said she was sleeping poorly (full text, checked 2026-09-28)
All three patients spent excessive time in bed trying to raise the sleep duration reported by the tracker, which the authors say may have exacerbated their insomnia (full text, checked 2026-09-28)
Difficulty engaging in CBT-I because patients trusted devices over clinicians; the authors call for incorporating tracker use into CBT-I as device use spreads
Mechanism
Inference, not tested: consumer trackers measure movement (accelerometry), not EEG, so they cannot reliably stage sleep; a "poor sleep" readout that contradicts how the person actually slept can breed anxiety about sleep, and that anxiety in turn disrupts sleep.
Practical Application
Athletes using WHOOP/Garmin/Oura sleep scores may develop orthosomnia-like preoccupation — a case series of sleep-clinic patients who trusted tracker data over polysomnography; the clinical challenge is balancing device-validity education with the patient's enthusiasm for objective data
"Poor deep sleep" scores may reflect device limitations, not actual poor sleep — the paper's patients preferred tracker data over validated measurement
Not from this paper; the base's own practice: trust the morning subjective assessment over the device score
Not from this paper; the base's own practice: if sleep data consistently causes anxiety, stop checking it
Consumer wearables are not medical-grade sleep monitoring (actigraphy-style movement sensing vs EEG)
Limitations
A small case series — not generalizable
Clinical population, not athletes specifically
Published 2017 — wearable accuracy has improved somewhat since
How this entry was checked and changed
Content correction 2026-09-27
Case count, ages and PSG details are not in the abstract -> labelled "(full text; not checked against the abstract)".
Mechanism paragraph ("overestimate duration, underestimate quality") is not in the abstract -> rewritten as labelled inference.
Practical advice (trust subjective assessment; stop checking) -> labelled as the base's own practice, not the paper's.
2026-09-28: lines labelled "full text; not checked" read against the open-access full text (PMC5263088): 1 confirmed, 3 corrected (tracker-vs-PSG "protocol" -> cited validation studies + clinical PSG; N3 "normal-to-increased" -> increased; "worsening insomnia" -> "may have exacerbated"), 0 removed.