Current models of sleep regulation postulate both a homeostatic and ci
rcadian component and promise an understanding of disturbed and displa
ced sleep. Estimates of these components have traditionally required r
elatively cumbersome and costly measures, including sleep electroencep
halograms and continuously recorded rectal temperature, but it has rec
ently been demonstrated that they may successfully be based on frequen
t (e.g. 2-hourly) concurrent ratings of alertness. This paper examines
whether similar results might be obtained using retrospective survey
measures of alertness obtained from shiftworking nurses at a single si
tting. These retrospective measures are shown to be sensitive to bath
time of day and shift, to have a high level of reliability even for re
latively small sample sizes (e.g. 10) and to be valid predictors of mo
re traditional concurrent measures of alertness. It is concluded that
retrospective alertness ratings may prove to be an extremely cost-effe
ctive method for examining the trends in alertness in various groups,
including those suffering from specific types of sleep disorder.