Murphy · Sleep 1997 · observational laboratory study · n=44

Nighttime drop in body temperature: a physiological trigger for sleep onset?

Level 3 - non-randomized controlled study

Non-randomized observational physiological study in a controlled laboratory setting

PubMed 9322266 · doi:10.1093/sleep/20.7.505 · record verified 2026-08-26

What was done

Researchers evaluated the relationship between core body temperature decline and sleep initiation in 44 participants aged 19 to 82 years. Following an adaptation night, subjects completed a baseline night followed by 72 hours of temporal and social isolation with strictly limited behavioral options (disentrainment). Continuous electroencephalography (EEG) and body temperature were recorded to identify the time of maximum rate of decline (MROD) in temperature relative to polysomnographic sleep onset and sleep architecture parameters.

What was found

The maximum rate of temperature decline occurred an average of 60 minutes prior to sleep onset on the baseline night and an average of 44 minutes prior during disentrainment. Proximity of MROD to sleep onset showed no effect on baseline sleep quality, but during disentrainment, the interval between MROD and sleep onset correlated significantly with the amount of slow-wave sleep (SWS). Age did not affect MROD timing at baseline, but the timing of both MROD and sleep onset was significantly phase-advanced in older compared to younger participants during disentrainment. Specific correlation coefficients and p-values were not reported in the abstract.

Why it matters

This study demonstrates that the steepest phase of evening core body temperature cooling precedes sleep onset by roughly an hour and may serve as an endogenous physiological signal facilitating sleep initiation and deep slow-wave sleep.

Limits

The sample size is relatively small (n = 44) across a wide age span (19–82 years). The abstract does not provide exact correlation coefficients, variance measures, or p-values. The artificial isolation protocol may not fully reflect real-world sleep environments and behaviors.

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