Sleep

Subjective and objective sleep measurements in ICU Patients: A longitudinal analysis of 706 sleep episode pairs.

TL;DR

Subjective and objective sleep assessments correlate only modestly in ICU patients, indicating each method captures unique information, and reliance on a single assessment method may result in incomplete understanding of sleep disruption.

Key Findings

Subjective sleep quality as measured by RCSQ scores declined over the ICU stay from Day 1 to Day 5.

  • Mean RCSQ scores declined from 56.67 ± 26.56 on Day 1 to 51.74 ± 25.72 on Day 5.
  • Data were collected from 355 patients yielding 706 paired sleep episodes across six ICUs in three university hospitals.
  • The study was conducted prospectively from July 2022 to December 2024.
  • Adult patients expected to be admitted for more than 48 hours were enrolled.

Objective sleep efficiency as measured by Fitbit Sense wearable devices also declined over the ICU stay.

  • Sleep efficiency declined from 83.23 ± 17.21% on Day 1 to 74.07 ± 25.57% by Day 5.
  • Objective sleep parameters were obtained via Fitbit Sense wearable devices.
  • This represents a decline of approximately 9 percentage points over 5 days.

Subjective sleep quality was significantly associated with illness severity, current smoking, surgical admission, mechanical ventilation, and analgesic/sedative use.

  • Associations were evaluated using linear mixed-effects models.
  • These factors were independently associated with RCSQ-measured subjective sleep quality.
  • The study was multi-centre and prospective, strengthening generalizability of these associations.
  • Current smokers showed stronger correlations between subjective and objective measures.

Objective sleep quality was associated with a different set of clinical factors than subjective sleep quality, including age, delirium, high-flow oxygen therapy, and analgesic/sedative use.

  • Objective sleep quality was assessed using Fitbit Sense-derived parameters including sleep efficiency and wake after sleep onset (WASO).
  • Delirium and high-flow oxygen therapy were associated with objective but not subjective sleep measures.
  • Age was an associated factor for objective but not subjective sleep quality.
  • Analgesic/sedative use was associated with both subjective and objective sleep quality.

The correlation between subjective and objective sleep measures was modest in ICU patients.

  • Sleep efficiency showed a modest positive association with subjective sleep quality (β = 0.158).
  • Wake after sleep onset (WASO) showed a modest negative association with subjective sleep quality (β = -0.165).
  • Stronger associations between subjective and objective measures were found among patients with higher illness severity and current smokers.
  • The modest correlation indicates each method captures unique information about sleep disturbance.

The study enrolled 355 ICU patients across a multi-centre prospective design yielding 706 paired sleep episodes.

  • The study was conducted across six ICUs in three university hospitals in Busan, Korea.
  • Data collection spanned from July 2022 to December 2024.
  • Each patient contributed paired sleep episodes (nights with both subjective and objective measurements).
  • Linear mixed-effects models were used to evaluate associations between sleep outcomes and patient characteristics.

What This Means

This research suggests that sleep quality in ICU patients worsens over the course of their hospital stay, with both self-reported sleep quality and device-measured sleep efficiency declining over five days. The study tracked 355 critically ill patients across six ICUs in South Korea, having them complete a standard sleep questionnaire each morning while simultaneously wearing a Fitbit smartwatch to objectively measure their sleep. When the two types of measurements were compared, they only weakly agreed with each other, meaning that what patients said about their sleep did not strongly match what the device recorded. The research also found that different clinical factors were linked to different aspects of sleep. Factors like illness severity, mechanical ventilation, and surgical admission were linked to how patients felt about their sleep, while age, delirium, and high-flow oxygen therapy were linked to what the device measured. Interestingly, pain and sedative medications were associated with both types of sleep measures. This suggests that subjective feelings about sleep and the physical, measurable aspects of sleep are partially separate phenomena in the ICU setting. This research suggests that relying on just one way of measuring sleep — either asking patients or using a device — may give an incomplete picture of how well critically ill patients are sleeping. Because the two methods each capture something the other misses, using both together could help nurses and other ICU staff better identify patients who need targeted help with sleep, and tailor care plans accordingly. The findings point to the potential value of wearable sleep-tracking technology as a practical complement to standard patient questionnaires in intensive care settings.

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Citation

Kang J, Cho H. (2026). Subjective and objective sleep measurements in ICU Patients: A longitudinal analysis of 706 sleep episode pairs.. Intensive & critical care nursing. https://doi.org/10.1016/j.iccn.2026.104380