Deep Sleep Science

Deep Sleep (N3) by Age: The Ohayon Normative Data Guide

N3 slow-wave deep sleep declines by approximately 2% per decade of adult life — from around 24% in childhood to under 5% in adults over 70. This page presents the Ohayon et al. (2004) normative data as the definitive reference for what is and is not normal deep sleep at every age, with wearable interpretation guidance, gender differences, and lifestyle levers.

The reassurance this page provides: a 65-year-old whose fitness tracker shows 20–25 minutes of “deep sleep” is not sleeping badly — they are sleeping at the upper end of the age-appropriate normal range. Most “low deep sleep” alerts from consumer wearables in older adults reflect biology, not pathology. Enter your age below to see your specific normal range.
Ohayon 2004 Normative Data Age-Specific N3 Calculator Wearable Accuracy Guide

N3 Deep Sleep Normative Ranges by Age (Ohayon 2004)

Enter your age to highlight your decade group and see your personal deep sleep range and expected nightly minutes. The chart below shows the full Ohayon et al. (2004) normative ranges — the most comprehensive polysomnographic dataset available for N3 across the lifespan, based on 65 studies across 3,577 subjects.

Average N3 %
Normal range (Ohayon 2004)

Age 5–12

avg 24%
22–26%
86–117 min/7.5h

Age 13–19

avg 20%
18–22%
68–99 min/7.5h

Age 20–29

avg 16%
14–18%
53–81 min/7.5h

Age 30–39

avg 13%
11–15%
41–68 min/7.5h

Age 40–49

avg 10%
8–12%
30–54 min/7.5h

Age 50–59

avg 7%
5–9%
19–41 min/7.5h

Age 60–69

avg 5%
3–7%
11–32 min/7.5h

Age 70+

avg 3%
1–5%
4–23 min/7.5h

Bar width reflects range relative to maximum. Range background = normal band. Coloured fill = average. Source: Ohayon MM et al. (2004), Sleep.

Primary source: Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV. (2004). “Meta-Analysis of Quantitative Sleep Parameters From Childhood to Old Age in Healthy Individuals: Developing Normative Sleep Values Across the Human Lifespan.” Sleep, 27(7), 1255–1273. This meta-analysis of 65 polysomnography studies across 3,577 subjects remains the definitive normative dataset for N3 sleep across the human lifespan. All ranges on this page are derived from its findings.

Why N3 Deep Sleep Declines With Age: The Biology

The N3 decline documented by Ohayon et al. is not a disease process or a failure of healthy ageing. It reflects predictable, well-understood changes in the neurological systems that generate and regulate slow-wave sleep. Understanding the mechanisms prevents the misreading of this biology as pathology.

🧠

Thalamo-cortical connectivity reduction

N3 sleep is characterised by synchronised slow oscillations (0.5–1Hz) generated by the interaction between the thalamus and cortex. With age, thalamo-cortical connectivity weakens — the bidirectional signalling that drives slow-wave synchronisation becomes less efficient. The result is fewer high-amplitude slow oscillations per night, which is what polysomnography and wearables measure as “less deep sleep.” This is a structural connectivity change, not a malfunction.

Sleep spindle density reduction

Sleep spindles (brief 12–15Hz oscillatory bursts in N2 sleep) are generated by the thalamic reticular nucleus and interact with N3 slow oscillations to drive memory consolidation. Spindle density declines measurably with age, partly reducing the N2–N3 transition efficiency. Lower spindle density means fewer transitions into full N3 sleep per night. This mechanism is particularly relevant to the memory consolidation decline documented in ageing research.

🌟

Reduced SCN sensitivity

The suprachiasmatic nucleus (SCN) — the brain’s master circadian clock — weakens with age. One consequence is reduced amplitude of the circadian signal that coordinates N3 consolidation into the first half of the night. In younger adults, N3 is strongly concentrated in the first two sleep cycles. With age, this consolidation weakens, distributing and reducing N3 across the night rather than concentrating it efficiently.

💦

Adenosine clearance changes

Adenosine — the sleep pressure molecule that accumulates during waking — drives the homeostatic need for N3 sleep. The rate of adenosine accumulation and clearance changes with age, altering the intensity of the slow-wave sleep drive. This is part of why older adults may feel less intensely tired after a long day while still experiencing reduced N3 in their sleep architecture.

🔥

Growth hormone secretion coupling

The majority of growth hormone (GH) secretion occurs during the first N3 episode of the night. GH secretion declines with age independently of — but coupled to — the decline in N3 amplitude and duration. The reduction in N3 minutes directly reduces the primary GH secretion window, with downstream effects on tissue repair, immune function, and metabolic regulation. This is the mechanistic link between age-related N3 decline and many aspects of physical ageing.

🕑

Sleep fragmentation increase

The more frequent night wakings of older adults interrupt N3 episodes before they reach their full depth and duration. Each waking effectively resets the N3 episode from scratch in the next sleep cycle. The result is not just fewer minutes of N3 but shallower N3 — slow oscillations that never reach their peak amplitude before disruption. Sleep apnea, which increases significantly in prevalence with age, is the most clinically impactful cause of this fragmentation.

The key reassurance from Ohayon 2004: the N3 decline across the adult lifespan is so consistent and universal in the normative data that it represents biological ageing, not disease. A 70-year-old with 5% N3 — approximately 20 minutes per 7.5-hour night — is sleeping within the normal range for their age. The functions of N3 (growth hormone secretion, immune restoration, memory consolidation) continue at this level, just at a lower absolute magnitude. The concern is not age-appropriate N3 reduction but a sudden, unexplained acceleration of that reduction, or N3 disruption from treatable causes such as sleep apnea.

What Modifies the Rate of N3 Decline

The Ohayon normative ranges represent population averages. Within any age group, there is significant individual variation — and the lifestyle factors below explain much of it. While the biological N3 decline cannot be completely reversed, its pace can be meaningfully slowed by modifiable behaviours. Conversely, specific behaviours reliably accelerate the decline beyond the expected biological rate.

Factors that preserve or slow N3 decline

Regular aerobic exercise

The most consistently evidence-supported N3 enhancer. Regular moderate aerobic exercise (150 min/week) increases slow-wave activity measurably in adults of all ages. The mechanism involves adenosine accumulation from muscle metabolism, increased growth hormone response, and enhanced thalamo-cortical slow-wave generation. Effects are dose-responsive and appear within weeks of beginning an exercise programme.

Consistent sleep schedule

A regular wake time anchors the circadian signal that consolidates N3 into the first half of the night. Social jet lag — weekend sleep times drifting 1–2 hours later than weekday times — is associated with reduced N3 efficiency across all age groups. Consistency matters more than total hours for N3 concentration.

Cool sleeping environment

Core body temperature must fall to initiate and maintain N3 sleep. A bedroom temperature of 16–19°C (61–66°F) is consistently associated with better N3 quality. Warm sleeping environments reduce slow-wave amplitude and duration, while cool environments support N3 consolidation.

Sleep apnea treatment (CPAP)

Treating obstructive sleep apnea with CPAP restores N3 disrupted by apnea events. This is the single highest-impact clinical intervention for N3 improvement in adults over 50, where sleep apnea prevalence rises to 20–40% and is frequently undiagnosed. CPAP-treated patients often show significant N3 recovery within weeks of beginning treatment.

Factors that accelerate N3 decline

Alcohol

Alcohol is the most potent common suppressor of N3 sleep. It accelerates sleep onset but suppresses slow-wave activity, particularly in the first half of the night. Even moderate alcohol (1–2 units within 3 hours of bed) measurably reduces N3. Chronic alcohol use accelerates the biological N3 decline beyond the expected Ohayon trajectory.

Benzodiazepines and Z-drugs

Sedative-hypnotic medications that act on GABA receptors suppress N3 while producing sedation. Users experience the sensation of having slept without the N3-dependent restorative functions. Long-term use accelerates the effective N3 decline beyond what is biologically expected for the user’s age.

Irregular sleep schedule

Variable bedtimes and wake times weaken the circadian consolidation of N3 into the first sleep cycles. Chronic irregularity is associated with reduced slow-wave sleep efficiency across multiple nights. Shift workers show significantly below-average N3 for their age group in polysomnographic studies.

Untreated sleep apnea

Sleep apnea events are concentrated in N3 and REM sleep, where airway muscle tone is lowest. Each apnea event forces a brief arousal that truncates the N3 episode. Untreated sleep apnea in adults over 50 can reduce effective N3 below even the already-lower age-appropriate normal range.

How to Interpret Your Wearable Deep Sleep Reading

Consumer fitness trackers and smartwatches report “deep sleep” estimates that many users interpret without age-appropriate context. A reading that appears alarming for a 30-year-old may be entirely normal for a 65-year-old. Understanding the accuracy limitations and age calibration of wearable deep sleep data prevents unnecessary anxiety and misguided behavioural responses.

Wearable Deep Sleep Accuracy

~70%

N3 stage accuracy vs PSG

±15%

Typical reading variance

0

EEG electrodes used

Wearables do not measure brainwaves. Clinical polysomnography (PSG) detects N3 via scalp EEG electrodes measuring slow-wave amplitude and frequency. Consumer wearables use accelerometers (movement), heart rate, and heart rate variability to infer sleep stages. This proxy measurement achieves approximately 70% agreement with PSG for N3 stage classification — meaning roughly 1 in 3 N3 readings is misclassified.
Deep sleep figures are often lower than clinical values. Consumer algorithms tend to underestimate N3 in older adults because reduced slow-wave amplitude (which is age-appropriate) produces physiological signals that the wearable algorithm may classify as N2 rather than N3. A 65-year-old whose wearable shows 15 minutes of deep sleep may be achieving 25–30 minutes clinically.
Trend data is more valuable than single nights. A single night’s reading is unreliable for drawing conclusions. Four-week averages smooth out measurement noise and are far more meaningful. If your deep sleep average has declined significantly over months with accompanying symptoms (fatigue, unrefreshing sleep), that is worth discussing with a GP. One low reading is not.
Use the Ohayon ranges, not the app’s reference. Many wearable apps present deep sleep percentages against a generic adult reference rather than an age-specific one. A 70-year-old seeing a “below normal” alert based on a 20–35 year-old reference is being compared to the wrong population. Use the ranges from this page to contextualise your readings accurately.
Example: a 65-year-old sleeping 7.5 hours with 25 minutes of wearable-reported deep sleep is showing approximately 5.6% N3 — which falls within the 3–7% Ohayon normal range for age 60–69. This is not a problem. It is normal ageing reported accurately (or possibly underestimated) by the wearable.
Editorial Deep Dive

The Science Behind the Numbers: Data Sources, Gender Differences, and What You Can Actually Do

The Ohayon chart tells you what is normal. These three editorial sections explain where that data comes from, why men and women follow different N3 trajectories across life, and which protective behaviours have genuine evidence behind them — and which popular recommendations do not.

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Section 1 — The Data Source

The Ohayon Study — Where This Data Comes From

Why this meta-analysis is the gold standard for age-related deep sleep norms, and why laboratory PSG data matters more than self-report

What the Study Is

The age-stratified N3 data on this page comes from Ohayon MM, Carskadon MA, Guilleminault C, and Vitiello MV (2004), published in the journal Sleep. It is a meta-analysis — a systematic synthesis of previously published research — covering 65 separate polysomnography studies involving 3,577 subjects across the human lifespan, from childhood through older adulthood. Rather than asking people how they sleep, each study in the analysis measured sleep architecture objectively: with EEG electrodes on the scalp, EMG sensors at the chin and legs, EOG sensors tracking eye movement, and respiratory monitoring. This is clinical-grade measurement, not consumer wearable estimation. The analysis then extracted N3 percentages by age decade and computed normative ranges. The result is the most statistically robust, objectively-measured reference dataset for age-related sleep architecture changes available in the published literature.

Why It Matters for You

Most sleep data that appears in apps, articles, and wearable company marketing is either self-reported (unreliable), drawn from small convenience samples (not representative), or calibrated on young healthy adults (inappropriate for people over 40). The Ohayon dataset is different on all three counts: it is objective, large, and lifespan-spanning. This is why clinicians, sleep researchers, and this page use it as the primary reference. When your wearable shows “low deep sleep” and you want to know whether that is actually a problem, the Ohayon normative ranges are the correct comparison — not a generic adult average. The 2% per decade decline documented across the dataset is so consistent across independent studies conducted across different countries and decades that it is now considered a biological law of ageing sleep architecture, not a statistical artefact.

Primary reference: Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV. (2004). Meta-Analysis of Quantitative Sleep Parameters From Childhood to Old Age in Healthy Individuals: Developing Normative Sleep Values Across the Human Lifespan. Sleep, 27(7), 1255–1273.

The Pattern Across the Lifespan

The Ohayon normative ranges represent combined male and female data. When disaggregated by sex, a clear asymmetry emerges: pre-menopausal women consistently show significantly less N3 decline per decade than men of the same age. Men begin losing deep sleep measurably faster than women from the early 30s onward — a difference that researchers have labelled the “male disadvantage” in sleep architecture ageing. The protective factor for pre-menopausal women appears to be hormonal: both oestrogen and progesterone modulate GABAergic neurotransmission in the thalamo-cortical circuits that generate slow-wave sleep, producing a protective effect on N3 amplitude and duration that men do not have. This hormonal protection is one candidate mechanism for why women in their 30s and 40s often report subjectively better sleep quality than age-matched men, and it may partially explain men’s well-documented earlier cardiovascular risk — given the established relationships between sleep quality, cortisol regulation, and cardiovascular health.

Life stageMenWomenClinical note
20s–30sN3 decline begins accelerating; steeper loss per decade than womenN3 well-preserved; oestrogen/progesterone protective effect at peakBoth sexes within Ohayon normal range; male values trend lower end
40s (pre-menopause)N3 decline continues at steeper rate; 8–12% typical but lower bound more commonN3 still relatively preserved compared to men; protective hormonal effect continuesMale sleep quality complaints more common in this decade relative to female peers
Perimenopause (~45–55)Continued gradual decline; no hormonal transition eventAccelerated N3 decline; hot flashes and vasomotor events specifically disrupt N3 transitions, fragmenting slow-wave episodes mid-cycleWomen’s N3 decline accelerates to approach or exceed the male rate during this transition
Post-menopause (55+)N3 at 5–9% (age 50–59 range); continued gradual declineN3 levels approach age-matched male levels; the prior protective advantage is largely lostBoth sexes now on similar trajectories with individual variation primarily explained by lifestyle and comorbidity

The Clinical Dismissal Problem

Sleep complaints from perimenopausal women are consistently under-investigated in clinical practice. Hot flashes — which occur most intensely during N3 sleep, when core body temperature is falling and N3 maintenance depends on that temperature trajectory — are a direct physiological disruptor of slow-wave sleep, not a secondary effect of anxiety or stress. The neurobiological evidence is clear: vasomotor events during N3 episodes produce micro-arousals that fragment slow-wave sleep, reduce N3 duration, and impair the restorative functions of deep sleep. When a perimenopausal woman reports unrefreshing sleep, fatigue, and reduced cognitive clarity, this is frequently a genuine N3 disruption syndrome requiring clinical evaluation — not reassurance and lifestyle advice alone. Hormone therapy, when appropriate and tolerated, has demonstrated measurable N3 restoration in this population. Cite: Redline S et al. (2004) Sleep architecture differences in men and women. Sleep; Dorsey CM et al. (1996) Oestradiol and sleep architecture in women. Sleep.

The Honest Framing

The biological N3 decline documented in the Ohayon dataset cannot be fully reversed. The thalamo-cortical connectivity changes and adenosine system ageing that drive N3 reduction are not currently reversible with any available intervention. The realistic goal is not to restore a 65-year-old’s deep sleep to 25-year-old levels — that is biologically impossible. The realistic and achievable goal is to sleep at the upper end of the normal range for your age, and to avoid the modifiable accelerators that push N3 below what your biology would otherwise produce. With that framing, the evidence-ranked interventions below represent meaningful protection, not false hope.

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Aerobic exercise — strongest evidence of any intervention. A meta-analysis by Youngstedt (2005) across multiple controlled trials found consistent increases in slow-wave sleep activity with regular exercise. A 6-week aerobic exercise intervention in previously sedentary adults can increase total slow-wave sleep by 60–80 minutes per week. The mechanism is multi-pathway: adenosine accumulation from muscle metabolism increases homeostatic sleep pressure specifically for N3; exercise also enhances thalamo-cortical slow-wave generation through growth hormone pathway effects. Minimum effective dose appears to be 150 minutes of moderate aerobic activity per week. Effects appear within 4–6 weeks of beginning a programme in previously sedentary adults. No other single intervention has this effect size or replication record. Cite: Youngstedt SD (2005). Sleep Medicine Clinics.

2

Temperature optimisation — second strongest evidence. Core body temperature must fall by approximately 1–2°C to initiate and maintain N3 sleep. A bedroom temperature of 18–20°C (64–68°F) supports this temperature drop; warmer environments measurably impair slow-wave amplitude and duration. This is especially relevant for older adults whose thermoregulatory efficiency has declined, making bedroom temperature a larger determinant of N3 quality than in younger adults. Heated mattress pad studies show that warming the extremities (to drive core temperature reduction) can increase N3 measurably in older adults. Cite: Raymann RJ et al. (2008) Brain.

3

Alcohol elimination — removing the most potent suppressant. Alcohol is the most accessible common substance that directly suppresses N3. Even 1–2 units within 3 hours of bedtime measurably reduces slow-wave activity in the first half of the night. For older adults whose N3 is already age-reduced, this suppression compounds the biological decline: a 65-year-old with 5% N3 who drinks moderately may be achieving 3% or less. Eliminating evening alcohol is the single fastest modifiable improvement available to most adults and shows N3 normalisation within days of cessation in controlled studies.

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Consistent sleep timing — circadian N3 anchoring. N3 is preferentially allocated to the first two sleep cycles by the circadian system. Irregular sleep timing — particularly variable wake times — weakens the circadian signal that consolidates N3 into the early cycles, distributing it less efficiently across the night and reducing total slow-wave time. Consistent wake times (within 30 minutes seven days a week) anchor this consolidation and are associated with higher N3 efficiency in longitudinal studies. The mechanism is SCN entrainment: a regular wake time produces the most precise circadian timing of the N3-promoting signal in the first half of the night.

CPAP for sleep apnea — highest single-intervention N3 restoration in over-50s. In adults over 50 with untreated obstructive sleep apnea — a group in which sleep apnea prevalence is 20–40% — CPAP therapy typically produces dramatic N3 improvement within weeks of treatment. Apnea events specifically truncate N3 episodes (airway muscle tone is lowest during deep sleep), and their elimination allows N3 episodes to complete. If you have symptoms of sleep apnea (snoring, unrefreshing sleep, morning headaches, witnessed apneas), GP evaluation before any lifestyle intervention is appropriate, as CPAP treatment may produce greater N3 improvement than all lifestyle interventions combined.

What does not work despite popular claims: Melatonin supplementation does not increase N3 sleep. Melatonin is a circadian timing signal, not a sleep depth enhancer — it helps shift the timing of sleep onset but has no demonstrated effect on slow-wave sleep percentage or amplitude in controlled polysomnographic studies. Similarly, most available OTC sleep aids (antihistamines, herbal sleep supplements including valerian and magnesium at typical doses) have no clinically validated N3-enhancing effect. Some GABA-agonist OTC aids may actually suppress N3 in a manner similar to prescription benzodiazepines. The absence of evidence is not always the absence of effect — but the evidence for these supplements specifically acting on N3 architecture is, currently, absent.

Deep Sleep Calculator

See how much deep sleep you are getting based on your age and sleep duration

The Deep Sleep Calculator estimates your expected N3 minutes using the Ohayon normative data and your current sleep duration — helping you compare your wearable reading against the age-correct reference.

Calculate My Deep Sleep →

Sleep Calculator

Optimise Your Sleep Cycle Timing

N3 sleep is concentrated in the first two sleep cycles. Waking at the end of a cycle — rather than mid-cycle — minimises grogginess and preserves the most N3-rich sleep.

Calculate Your Optimal Wake Time

Frequently Asked Questions

How much deep sleep is normal for my age?

Based on Ohayon et al. (2004) normative polysomnography data across 3,577 subjects: children (5–12) average 22–26%, teenagers (13–19) 18–22%, young adults (20–29) 14–18%, thirties (30–39) 11–15%, forties (40–49) 8–12%, fifties (50–59) 5–9%, sixties (60–69) 3–7%, and adults over 70 typically show 1–5% N3 deep sleep. In minutes per 7.5-hour night, this translates to approximately 4–23 minutes for adults over 70 — which can appear alarming on a wearable but is entirely age-appropriate. Consumer wearable devices measure N3 with approximately 70% accuracy compared to clinical polysomnography, and typically underestimate N3 in older adults whose slow-wave amplitude has declined. Use the age-specific ranges above rather than generic “normal” references to interpret your own readings.

Can I increase my deep sleep as I get older?

Modest improvement is possible, but the biological N3 decline documented by Ohayon et al. cannot be fully reversed. The most evidence-based approach is regular aerobic exercise: studies consistently show increased slow-wave sleep activity in adults who exercise regularly, with effects appearing within weeks of beginning an exercise programme. The mechanism involves adenosine accumulation from muscle metabolism and enhanced thalamo-cortical slow-wave generation. Other meaningful approaches include maintaining a cool sleeping environment (16–19°C), consistent wake times, reducing or eliminating evening alcohol, and treating sleep apnea if present. The honest caveat is that these interventions can help you sleep at the better end of the normal range for your age — they cannot restore the N3 of a 25-year-old in a 65-year-old. If sleep apnea is present and untreated, CPAP therapy offers the single largest potential N3 improvement in adults over 50.

Where does the deep sleep normative data on this page come from?

All age-specific N3 ranges on this page are derived from Ohayon MM, Carskadon MA, Guilleminault C, and Vitiello MV (2004), “Meta-Analysis of Quantitative Sleep Parameters From Childhood to Old Age in Healthy Individuals,” published in Sleep, 27(7), 1255–1273. This meta-analysis synthesised data from 65 separate polysomnography studies across 3,577 subjects. Polysomnography uses scalp EEG electrodes to directly measure the slow-wave activity that defines N3 sleep — a fundamentally more accurate method than consumer wearables, which use accelerometers and heart rate sensors to infer sleep stages. The 2% per decade N3 decline documented across the dataset is consistent across independent studies conducted in different countries and decades, giving it the status of a well-replicated biological finding rather than a single-study result. It remains the most cited normative reference in clinical sleep medicine literature and is the dataset used by clinicians when evaluating whether a patient’s deep sleep is age-appropriate.

Do men and women have the same amount of deep sleep?

No — and the difference is clinically meaningful. Pre-menopausal women consistently show significantly less N3 decline per decade than age-matched men. Oestrogen and progesterone modulate GABAergic neurotransmission in the thalamo-cortical circuits that generate slow-wave sleep, producing a protective hormonal effect on N3 amplitude and duration that men do not have. Men show steeper N3 decline from the early 30s onward — a difference researchers have labelled the “male disadvantage” in sleep architecture ageing. This reverses at perimenopause: vasomotor events (hot flashes) during sleep directly fragment N3 episodes by producing micro-arousals during the temperature-sensitive slow-wave phase, accelerating women’s N3 decline to approach and sometimes exceed age-matched male levels. By post-menopause, the prior female advantage is largely lost. Hormone therapy, when clinically appropriate, has demonstrated measurable N3 restoration in symptomatic perimenopausal women.

Does melatonin increase deep sleep?

No — and this is one of the most common misunderstandings about sleep supplements. Melatonin is a circadian timing signal produced by the pineal gland in response to darkness. Its biological role is to communicate “it is night” to the body, helping shift the timing of sleep onset. It does not increase slow-wave sleep amplitude or duration. Controlled polysomnographic studies of melatonin supplementation do not show N3 increases. Melatonin can help shift sleep timing in people whose circadian phase is misaligned — jet lag, delayed sleep phase syndrome, shift workers — but this is a timing effect, not a sleep depth effect. For deep sleep specifically, aerobic exercise, temperature optimisation, and alcohol elimination have vastly more evidence than melatonin or any other available supplement.

Why does my fitness tracker show almost no deep sleep?

Three factors combine to produce low deep sleep readings on consumer wearables. First, accuracy: consumer devices achieve approximately 70% N3 stage agreement with clinical polysomnography, meaning 1 in 3 N3 episodes may be misclassified as N2. Second, age-related underestimation: reduced slow-wave amplitude in older adults — which is biologically normal — produces weaker physiological signals that wearable algorithms often classify as lighter sleep. A 65-year-old may be getting significantly more N3 than their wearable reports. Third, reference calibration: most wearable apps compare your reading to a general adult average rather than an age-specific norm. A 70-year-old who gets the Ohayon-normal 4–23 minutes of deep sleep will appear to have “very low” deep sleep if the app’s reference is calibrated for a 35-year-old. Use the age-stratified Ohayon ranges on this page as your reference, track 4-week averages rather than single nights, and only seek GP evaluation if your readings are significantly below the age-appropriate range shown above, particularly with accompanying symptoms such as persistent fatigue, unrefreshing sleep, or morning headaches.

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