Well-established
The cortisol curve, and why one measurement rarely settles anything
5 min
Luisa Howell, Registered Associate Nutritionist (ANutr)
Cortisol follows a timed daily shape rather than holding a level. Because the same value can be typical at one hour and unusual at another, a single reading carries limited information without the time it was taken and the time you woke.
Cortisol is often discussed as a quantity that is either high or low. The system producing it behaves differently.
Output is governed by a loop running between the hypothalamus, the pituitary and the adrenal cortex, known together as the HPA axis. The hypothalamus releases CRH, which prompts the pituitary to release ACTH, which prompts the adrenal cortex to release cortisol into the blood. Rising cortisol then feeds back to suppress the first two steps. This loop runs continuously and produces two things at once, repeated bursts across the day and a strong daily rhythm aligned to your sleep and wake timing. That rhythm is set by the central clock in the suprachiasmatic nucleus, along with light exposure and when you actually sleep and wake.
The shape is consistent. Levels are typically lowest in the first part of the night, begin climbing in the second half of the sleep period, and reach higher levels around waking. Within the first hour after waking, most people show a further rise, often somewhere between 38 and 75 percent, peaking around thirty to forty five minutes after waking. This post waking climb is distinct enough to have its own name, the cortisol awakening response. Levels then decline across the rest of the day, steepest through the morning, reaching a low point at bedtime and into the early night.
One qualification on that. Most of the literature treats the awakening response as a separate feature sitting on top of the daily rhythm, reflecting how reactive the axis is to the shift from sleep to wakefulness. More recent work suggests part of what looks like a discrete response may be the underlying overnight rise continuing, which means the measurement is harder to read in isolation from the preceding night than it first appears.
The practical consequence is that a value only means something alongside a time. A concentration that is unremarkable shortly after morning waking would sit well above typical at ten at night. The same evening number can point in the opposite direction, indicating a flattened curve rather than an elevation, if the morning level is low and the daytime decline is weak. Most standard testing draws blood in the morning, which captures a point near the top of the curve and says relatively little about its shape.
This is why research protocols collect several saliva samples anchored to each person's own waking time rather than to the clock, commonly at waking, thirty minutes later, midday and bedtime. That gives both the morning response and the slope across the day, which is what separates a robust curve with a steep decline and a low bedtime value from one that is elevated throughout or flattened with a weak morning rise and relatively high night time levels.
Interpreting those patterns still requires restraint. A blunted awakening response, a flattened slope, or consistently high bedtime cortisol have been associated with stress exposure, mood disorders and other health risks, but the associations reported are generally modest and not specific to any one condition. Studies do not always agree on whether a higher or lower awakening response tracks with worse outcomes, and variation between individuals is substantial. A curve is better treated as one input read alongside history, symptoms and other markers than as an explanation on its own.
Clow A et al. The cortisol awakening response, more than a measure of HPA axis function. Neuroscience & Biobehavioral Reviews, 2010.
Adam EK et al. Diurnal cortisol slopes and mental and physical health outcomes, a systematic review and meta-analysis. Psychoneuroendocrinology, 2017.
Stalder T et al. Assessment of the cortisol awakening response, expert consensus guidelines. Psychoneuroendocrinology, 2016.