Abstract

Insomnia is a persistent difficulty falling or staying asleep, occurring despite adequate opportunity for sleep and accompanied by daytime impairment. Its interest for cognitive psychology lies in a paradox: the disorder is sustained less by any shortage of sleep than by the mind's own efforts to obtain it. Chronic insomnia is a state of persistent hyperarousal — cognitive, cortical, and physiological — maintained by worry about sleep, selective attention to sleep-related threat, and the effortful intention to sleep that displaces the automatic process it is meant to help. The dominant models converge: acute sleeplessness is common and self-limiting, but becomes a chronic disorder when perpetuating cognitive and behavioural factors take over from the event that triggered it. Insomnia therefore offers a clear case of a normally involuntary process disrupted by the deliberate attention and control directed at it.

Keywords: insomnia, hyperarousal, sleep effort

Almost everyone sleeps badly sometimes, and this is the first thing that ordinary intuition gets wrong about insomnia. A bad night after a stressful day is not a disorder; it is the sleep system behaving exactly as designed, holding the brain alert when circumstances seem to demand it. What defines insomnia as a clinical condition is not the poor night but its persistence long after the reason for it has passed, and the way the sufferer's own attempts to fix it become the thing that keeps it going (Morin & Benca, 2012). The person lies down determined to sleep, watches the clock, calculates the hours remaining, and grows more alert with every effort — and it is this loop, not the original trigger, that turns a few bad nights into a chronic problem.

That loop is what makes insomnia valuable beyond the sleep clinic. Falling asleep is normally automatic and involuntary, something that happens to us rather than something we do, and insomnia is what results when attention, intention, and effort are turned on a process that only works when left alone. The account below moves from what insomnia is, through the kinds clinicians distinguish and the psychological models that explain its persistence, to the hyperarousal and attentional machinery that sustains it, and finally to how it is measured, how it is treated, and where its study is heading. The recurring theme is that sleep is a process the waking mind can disturb but cannot command.

Key Takeaways
  • Insomnia is a persistent difficulty initiating or maintaining sleep despite adequate opportunity, with daytime consequences — not simply a shortage of sleep (Morin & Benca, 2012).
  • The 3P model explains how insomnia becomes chronic: predisposing traits and a precipitating event start it, but perpetuating factors — extended time in bed, worry, and effort — are what sustain it after the trigger fades (Spielman et al., 1987).
  • Chronic insomnia is marked by hyperarousal that is present around the clock — cognitive, cortical, autonomic, and neuroendocrine — not only at bedtime (Riemann et al., 2010).
  • Trying harder to sleep makes sleep less likely: attention to sleep, the explicit intention to sleep, and effortful control inhibit the automatic process they are meant to help (Espie, 2002).
  • The first-line treatment is not a drug but cognitive behavioural therapy for insomnia (CBT-I), which targets the perpetuating factors directly (Qaseem, Kansagara, Forciea, Cooke, & Denberg, 2016).

Figure 1

The Insomnia Perpetuating Cycle

A self-sustaining loop from arousal to sleep effort to attention and back to arousal Four boxes arranged in a circle connected by curved arrows forming a clockwise loop: heightened arousal at the top, effortful attempts to sleep on the right, selective attention to sleep and threat at the bottom, and distorted perception of sleep loss on the left, each arrow feeding the next box and returning to arousal, so the cycle sustains itself independently of the original trigger. heightened arousal effort to sleep selective attention to sleep & threat distorted view of sleep loss
Note. In the cognitive model, a night of poor sleep raises arousal and worry; the person responds with deliberate effort to sleep and with vigilant attention to internal signs of wakefulness and external threats to sleep; this attention distorts the perception of how badly they slept, which feeds fresh worry and arousal. The loop sustains itself after the original precipitant is gone. Schematic, after Harvey (2002).

What Insomnia Is

Insomnia is a persistent dissatisfaction with the quantity or quality of sleep, taking the form of difficulty falling asleep, difficulty staying asleep, or waking too early, that occurs despite an adequate opportunity to sleep and causes distress or daytime impairment (Morin & Benca, 2012). Each clause matters. The difficulty must be genuine sleeplessness, not a short-sleeper's contentment with few hours; it must occur when the chance to sleep is there, distinguishing it from sleep deprivation imposed by circumstance; and it must carry consequences into the day — fatigue, low mood, impaired concentration — because a night's poor sleep with no daytime cost is not a disorder.

The condition is strikingly common. Around a third of adults report insomnia symptoms in any given year, and roughly 6 to 10% meet the fuller criteria for an insomnia disorder, making it the most prevalent of all sleep complaints and one of the most common health complaints of any kind (Ohayon, 2002). It is more frequent in women and rises with age, and it rarely travels alone: insomnia is tightly bound up with depression and anxiety, and longitudinal evidence shows it is not merely a symptom of low mood but a predictor of it, roughly doubling the risk of a later depressive episode (Baglioni et al., 2011).

The most important and least intuitive fact about chronic insomnia is that the amount of objectively measured sleep lost is often modest and is a poor guide to the severity of the complaint. People with insomnia frequently sleep more than they believe they do, and the distress they report tracks their sense of unrefreshing, effortful, closely-watched sleep more than any number of missing minutes (Perlis, Giles, Mendelson, Bootzin, & Wyatt, 1997). This gap between the felt experience and the measured deficit is the central puzzle the psychological models below are built to explain.

Types of Insomnia

Medical Subject Headings files insomnia as Sleep Initiation and Maintenance Disorders, placing it among the intrinsic sleep disorders, and lists a single narrower descriptor beneath it: Fatal Familial Insomnia. It is worth being explicit that a MeSH tree is an indexing classification for the biomedical literature, not a clinical taxonomy of the disorder. Fatal familial insomnia is a vanishingly rare inherited prion disease that destroys the thalamus and happens to abolish sleep; it shares almost nothing, mechanistically, with the common insomnia disorder this article concerns, and it appears as a child heading only because both involve an inability to sleep. The divisions clinicians actually use cut a different way.

The clinically decisive axes are duration — whether the problem is short-term or chronic — and whether it stands alone or accompanies another condition.

Table 1. The clinical divisions of insomnia and the narrower symptom-heading MeSH files beneath it.
Division Form Distinguishing feature
By duration Short-term (acute) Lasts days to a few weeks; usually tied to an identifiable stressor and self-limiting
By duration Chronic Present at least three nights a week for three months or more; sustained by perpetuating factors
By context Independent vs comorbid Occurs on its own or alongside a mental or physical disorder; treated in its own right either way
MeSH narrower heading Fatal familial insomnia A rare inherited prion disease abolishing sleep; grouped here for indexing, not by mechanism

Two cautions keep this taxonomy honest. First, the old habit of splitting insomnia into primary (free-standing) and secondary (caused by another disorder) has largely been abandoned, because “secondary” wrongly implied that treating the other condition would resolve the sleep problem; in practice chronic insomnia takes on a life of its own and must be treated directly whatever its origin (Qaseem et al., 2016). Second, the duration boundary is not merely administrative: the shift from acute to chronic is precisely the shift from a problem driven by an external trigger to one driven by the person's own responses to it, which is the process the next section describes.

The 3P model: what keeps insomnia going once the trigger is gone

Spielman's model stacks three contributions against an insomnia threshold. Predisposing traits set a fixed baseline; precipitating stress spikes in the acute phase and then fades on its own; perpetuating factors — extra time in bed, worry, effort — are what the person adds to cope. Raise the perpetuating factors and watch the total stay above the line in the chronic phase even though the precipitant has gone. Set them to zero and the insomnia resolves with its trigger.

threshold20Premorbid75Acute45Early25Chronic

Insomnia resolves. With little or no perpetuating factor (0), the chronic-phase total falls to 25, below the threshold of 50 resolved. Once the precipitant fades there is nothing left to hold the total up, so the acute bout ends as it should.

Schematic stacked model in arbitrary units, computed locally; illustrates the 3P logic, not clinical magnitudes, and nothing is stored.

Models of Insomnia

The most influential framework for understanding how insomnia becomes chronic is the three-factor, or 3P, model, which separates the causes of insomnia into predisposing, precipitating, and perpetuating factors (Spielman et al., 1987). Predisposing factors are stable traits — a tendency to worry, a hyper-reactive arousal system, a family history — that raise a person's baseline vulnerability without ever, on their own, crossing the threshold into a disorder. Precipitating factors are the acute stressors — an illness, a bereavement, a deadline — that push the person over that threshold into a bout of acute insomnia. Crucially, these usually fade. What determines whether the insomnia fades with them is the third factor.

Perpetuating factors are the behaviours and beliefs the person adopts to cope with the sleeplessness, which paradoxically maintain it. Spending longer in bed to “catch up,” napping, drinking caffeine to counter fatigue, and above all trying hard to sleep and worrying about the consequences of not sleeping — these keep the problem alive after the original trigger is gone. The model's central and clinically decisive claim is that chronic insomnia is a disorder of its own perpetuating factors, which is exactly why its treatment targets them rather than the vanished precipitant (Spielman et al., 1987).

Three later models fill in the psychological detail of how the perpetuation works. Harvey's cognitive model describes a self-sustaining loop: excessive negatively-toned thought about sleep produces arousal and distress, which drives selective attention to and monitoring of sleep-related threats, which distorts the perception of how poorly one has slept, which feeds further worry (Harvey, 2002). Perlis's neurocognitive model adds a physiological substrate, proposing that conditioned cortical arousal — elevated high-frequency EEG activity around sleep onset — supports abnormal sensory and information processing during light sleep, which explains why people with insomnia so often experience their sleep as wakefulness (Perlis et al., 1997). Espie's account isolates the mechanism most useful to therapy: normal sleep is an automatic, involuntary process, and insomnia arises when attention, explicit intention, and effort are directed at it, inhibiting the very automaticity that produces sleep (Espie, 2002).

Hyperarousal and Cognition

Underlying all these models is a single organising construct: hyperarousal. The insomnia sufferer is not simply sleep-deprived but over-activated, and the activation is not confined to bedtime. Riemann's synthesis assembled the evidence that chronic insomnia is a condition of persistent 24-hour arousal spanning several levels: cognitive (racing thoughts and worry), cortical (fast EEG frequencies during sleep), autonomic (elevated heart rate and reduced heart-rate variability), and neuroendocrine (raised cortisol and metabolic rate) (Riemann et al., 2010). On this view the person with insomnia carries an elevated arousal set-point through the whole day, and sleeplessness is its most visible symptom rather than its cause.

Two features of the cognition deserve emphasis because they run against common sense. The first is that effort is counter-productive. Because falling asleep is involuntary, the deliberate intention to do it — and the mounting effort as it fails — recruits exactly the attentional and arousal systems that oppose sleep, so that the harder a person tries, the more awake they become (Espie, 2002). This is the sleep-effort paradox, and it is why the standard clinical advice is to get out of bed rather than try harder. The second is selective attention: the insomnia sufferer monitors the body for signs of wakefulness, scans the environment for threats to sleep, and watches the clock, and this vigilance both raises arousal and biases the perception of the night toward failure (Harvey, 2002).

The attentional bias also helps explain the sleep-state misperception that so often accompanies insomnia. Because the lightly-sleeping, cortically-aroused brain continues to process its surroundings and to form fragmentary memories, the person retrieves evidence of wakefulness from periods a recording would score as sleep, and concludes they were awake (Perlis et al., 1997). The felt deficit is real as an experience even when the measured deficit is small — which is why the disorder is defined by dissatisfaction and daytime cost, and why treating the attention and arousal is more effective than chasing lost minutes of sleep.

The sleep-effort paradox: trying harder keeps you awake

Sleep is involuntary, so it is the one goal that deliberate effort works against. The more effort a person puts into falling asleep, the more they recruit the very arousal system that opposes sleep — and the longer it takes them to drop off. Slide the effort up and watch arousal and sleep-onset latency climb together. There is no point on the curve where trying harder helps.

no effortmaximum effortsleep-onset latency20 min
Effort applied20%
Resulting arousal27 (arbitrary units)
Sleep-onset latency~20 min

Letting sleep come. With effort near zero, arousal stays low (27) and latency is short — about 20 minutes automatic. Sleep works best when it is not being pursued, because the automatic process is left undisturbed.

Illustrative monotone relationship computed locally from the slider; a teaching curve, not a measured dose–response, and nothing is stored.

Diagnosis and Assessment

Insomnia is diagnosed clinically, from the history rather than from any laboratory test. The current criteria require difficulty initiating or maintaining sleep, or waking too early, occurring at least three nights per week for at least three months, despite adequate opportunity for sleep, and producing daytime impairment or distress (Morin et al., 2015; Riemann et al., 2017). No sleep study is needed to make the diagnosis; an overnight polysomnogram is reserved for cases where another disorder such as sleep apnea is suspected, precisely because objective sleep measures correlate so weakly with the insomnia complaint.

The workhorse of assessment is instead the sleep diary, in which the person records each night's bedtime, estimated time to fall asleep, awakenings, final wake time, and rising time, over one to two weeks. From these entries two quantities drive both diagnosis and treatment: total sleep time and, more importantly, sleep efficiency — the proportion of time in bed actually spent asleep. A sleep efficiency below about 85% marks the disorder, and the diary's power is that it captures the perpetuating behaviour of spending long hours in bed awake, which a single night's recording would miss. Alongside the diary, validated questionnaires quantify severity: the most widely used is the Pittsburgh Sleep Quality Index, which combines subjective quality, latency, duration, efficiency, disturbances, medication use, and daytime dysfunction into a single score (Buysse, Reynolds, Monk, Berman, & Kupfer, 1989).

Once diagnosed, chronic insomnia is treated first not with medication but with cognitive behavioural therapy for insomnia (CBT-I), recommended as the first-line treatment by both the American College of Physicians and the European sleep guideline (Qaseem et al., 2016; Riemann et al., 2017). CBT-I is a package that targets the perpetuating factors directly: stimulus control re-associates the bed with sleep by forbidding wakeful activities there and requiring the person to leave the bed when unable to sleep (Bootzin, 1972); sleep restriction curtails time in bed to match actual sleep, raising sleep efficiency and consolidating sleep; cognitive therapy addresses the catastrophic beliefs about sleeplessness; and relaxation lowers arousal. Medication can relieve acute insomnia but does not undo the perpetuating loop, and the guidelines position it as an adjunct rather than a solution (Morin & Benca, 2012).

Worked Example

Because sleep restriction turns on a single ratio, it is worth working through how that ratio is computed and used. Consider a person who keeps a sleep diary for five nights. Each night they are in bed for nine hours — 540 minutes — from 10:30 p.m. to 7:30 a.m., determined to make up for lost sleep. Their estimated total sleep times across the five nights are:

300, 280, 320, 290, and 310 minutes

The mean total sleep time is the average of the five:

mean TST = (300 + 280 + 320 + 290 + 310) ÷ 5 = 1500 ÷ 5 = 300 minutes

Sleep efficiency is the mean total sleep time divided by the time in bed, expressed as a percentage:

sleep efficiency = 300 ÷ 540 × 100 = 55.6%

At about 56%, this is far below the 85% threshold: the person spends nearly half their time in bed awake, and those wakeful hours in bed are the perpetuating behaviour the treatment must remove. Sleep restriction prescribes a time in bed equal to the actual mean total sleep time — here 300 minutes, five hours, which is the usual floor — rather than the nine hours currently spent. Suppose that after a week on this schedule the person's sleep consolidates and their mean total sleep time within the shorter window rises to 285 minutes. The new sleep efficiency is:

sleep efficiency = 285 ÷ 300 × 100 = 95%

Because this exceeds the 90% mark at which the schedule is relaxed, time in bed is now extended by about 15 minutes, and the process repeats until the person is sleeping well across a time in bed that suits them. The counter-intuitive result — that restricting sleep opportunity is what cures the sleep problem — falls straight out of the arithmetic: efficiency rose not because more was slept but because the wakeful time in bed was cut away. The demonstration below lets the time in bed and total sleep time be varied and shows how efficiency and the resulting prescription change.

Sleep efficiency and the sleep-restriction rule

Sleep efficiency is the share of time in bed actually spent asleep — total sleep time divided by time in bed. Sleep restriction uses it as a thermostat: below 85% you cut time in bed to match your sleep, above 90% you extend it. Notice the paradox — drag the time in bed down without changing minutes asleep and efficiency rises. That is how restricting sleep opportunity treats insomnia.

time in bedasleepSE = 55.6%
Time in bed9h 0m (540 min)
Total sleep time5h 0m (300 min)
Sleep efficiency300 ÷ 540 × 100 = 55.6%

Below 85% — restrict. At 55.6% the person spends a large part of the night in bed awake restrict. Sleep restriction cuts time in bed toward the actual sleep time, removing the wakeful hours that perpetuate the problem and consolidating what sleep there is.

Sleep efficiency and the restriction rule computed locally from the two sliders; a teaching calculator, not clinical advice, and nothing is stored.

Discussion

Insomnia has earned a place in cognitive psychology well beyond sleep medicine, because it is one of the clearest demonstrations that some mental processes work only when they are not consciously controlled. Falling asleep, like being spontaneous or forgetting a name on demand, belongs to a class of involuntary processes that deliberate effort disrupts rather than assists (Espie, 2002). The person with insomnia does everything a rational agent should — attends to the problem, intends the solution, tries hard — and each of these correct-seeming responses is exactly wrong, because the target process is one that attention and effort inhibit.

The disorder also makes vivid the gap between experience and measurement. Chronic insomnia is defined by a felt deficit that objective recording often fails to confirm, and rather than dismissing the complaint as illusory, the field has taken the discrepancy seriously as data about how the mind constructs its own sense of having slept (Perlis et al., 1997). Selective attention to wakefulness, the memory of fragmentary arousals, and catastrophic beliefs about the consequences of sleep loss together build a subjective night that is worse than the recorded one, and it is that constructed experience, not the polysomnogram, that carries the distress (Harvey, 2002).

For theory, the enduring lesson is that arousal and sleep are not simple opposites on a single dial but separately regulated states, and that a stable night's sleep is an achievement that a persistently over-aroused system cannot deliver no matter how much sleep is pursued (Riemann et al., 2010). That insomnia can be reversed by a behavioural therapy which removes the perpetuating factors, without adding a single hour of prescribed sleep, is the strongest possible evidence that the disorder lives in the cognition and behaviour surrounding sleep rather than in a shortage of sleep itself — and by extension it shows how much of what we experience as a bodily state is built and maintained by attention and belief.

Current Directions

The most consequential development in insomnia research is the move to deliver its effective treatment at scale. CBT-I works but requires trained therapists who are scarce, and fully automated digital programmes have been developed and tested as a way to reach the very large population that needs it, with large randomised trials showing that web-based CBT-I improves not only sleep but the daytime psychological consequences that follow from it (Espie, 2002). Establishing how far a scalable digital intervention can substitute for a human therapist, and for whom, is now among the field's central practical questions.

A second direction reaches into the neuroscience of the disorder. Advances in imaging and in the analysis of sleep microstructure have begun to locate insomnia in the brain's arousal and emotion-regulation circuitry, with evidence that the sleep of people with insomnia is marked by a fragmented, “restless” REM stage that may impair the overnight processing of emotional memory and so help explain the tight link between insomnia and later depression (Van Someren, 2021). This reframes chronic insomnia not as a self-contained sleep complaint but as a disorder of around-the-clock arousal regulation with consequences for memory and mood — a synthesis that unites the psychological models with their biological substrate and points toward interventions aimed at the arousal system itself (Baglioni et al., 2011; Van Someren, 2021).

Common Misconceptions

“Insomnia just means not getting enough sleep.”
It is a disorder of the regulation of sleep, not simply its quantity. People with insomnia often sleep more than they believe, and the distress tracks the effortful, closely-watched quality of their sleep rather than the number of hours lost (Perlis et al., 1997).
“The remedy for a sleepless night is to try harder and stay in bed.”
This is precisely the perpetuating behaviour that sustains insomnia. Because sleep is involuntary, effort and extended time in bed raise arousal and lower sleep efficiency; the effective advice is to leave the bed and reduce time in it (Espie, 2002; Spielman et al., 1987).
“Insomnia is always caused by another problem, so treat that instead.”
Chronic insomnia takes on a life of its own through its perpetuating factors and must be treated in its own right, whether or not another condition is present; the old “primary/secondary” split has been abandoned for this reason (Qaseem et al., 2016).
“Sleeping pills are the real cure for insomnia.”
Medication can relieve acute sleeplessness but does not remove the perpetuating loop, so the problem returns when it stops. The first-line treatment recommended by clinical guidelines is cognitive behavioural therapy for insomnia, not a drug (Qaseem et al., 2016; Morin & Benca, 2012).

Glossary

3P model.
Spielman's three-factor account of insomnia in terms of predisposing, precipitating, and perpetuating factors; explains how an acute, triggered problem becomes a chronic, self-sustaining one.
Arousal.
The graded dimension of nervous-system activation and responsiveness; chronic insomnia is understood as a state of persistent hyperarousal across this dimension.
CBT-I.
Cognitive behavioural therapy for insomnia; the first-line treatment, combining stimulus control, sleep restriction, cognitive therapy, and relaxation to target the factors perpetuating the disorder.
Hyperarousal.
A persistently elevated level of activation — cognitive, cortical, autonomic, and neuroendocrine — present around the clock and considered the core disturbance in chronic insomnia.
Perpetuating factors.
The behaviours and beliefs adopted to cope with sleeplessness — extended time in bed, napping, worry, effort — that maintain insomnia after the original trigger has passed.
Polysomnography.
The overnight recording of brain, eye, muscle, and cardiorespiratory activity used to stage sleep objectively; in insomnia it is reserved for ruling out other disorders, because objective measures correlate weakly with the complaint.
Precipitating factor.
An acute stressor, such as illness or bereavement, that triggers a bout of acute insomnia; usually transient.
Predisposing factor.
A stable trait, such as a tendency to worry or a reactive arousal system, that raises baseline vulnerability to insomnia without itself producing the disorder.
Sleep efficiency.
The proportion of time in bed actually spent asleep, expressed as a percentage; a value below about 85% marks insomnia and is the quantity sleep restriction is designed to raise.
Sleep effort.
The deliberate intention and exertion applied to falling asleep; because sleep is involuntary, sleep effort raises arousal and is counter-productive.
Sleep restriction.
A CBT-I component that limits time in bed to match actual sleep time, consolidating sleep and raising sleep efficiency before time in bed is gradually extended.
Sleep-onset latency.
The time taken to fall asleep after getting into bed; prolonged latency is one of the defining difficulties of insomnia.
Sleep-state misperception.
The experience of being awake during periods a sleep recording scores as sleep; attributed to cortical arousal and to selective attention to signs of wakefulness.
Stimulus control.
A CBT-I component that re-associates the bed and bedroom with sleep by restricting them to sleep and requiring the person to leave the bed when unable to sleep.

Key Researchers

Daniel J. Buysse

(living). Psychiatrist at the University of Pittsburgh and developer of the Pittsburgh Sleep Quality Index, the most widely used measure of subjective sleep quality in insomnia research and practice (Buysse et al., 1989). Faculty page

Colin A. Espie

(living). Professor of sleep medicine at the University of Oxford whose attention–intention–effort account isolated the mechanism by which trying to sleep prevents it, and who pioneered scalable digital CBT-I (Espie, 2002). ORCID

Allison G. Harvey

(living). Clinical psychologist at the University of California, Berkeley, whose cognitive model of insomnia described the self-sustaining loop of worry, arousal, selective attention, and distorted perception (Harvey, 2002). Faculty page

Charles M. Morin

(living). Clinical psychologist at Université Laval and a leading authority on the assessment and cognitive behavioural treatment of insomnia, senior author of its major clinical syntheses (Morin & Benca, 2012). ORCID

Michael L. Perlis

(living). Director of the Behavioral Sleep Medicine Program at the University of Pennsylvania, whose neurocognitive model tied insomnia to conditioned cortical arousal and sleep-state misperception (Perlis et al., 1997). Wikipedia

Dieter Riemann

(living). Sleep researcher at the University of Freiburg who assembled the hyperarousal model of insomnia and led the European guideline for its diagnosis and treatment (Riemann et al., 2010; Riemann et al., 2017). ORCID

Arthur J. Spielman

(1947–2015). Sleep researcher who formulated the three-factor (3P) model of insomnia and developed sleep restriction therapy, giving the field both its dominant explanatory framework and one of its core treatments (Spielman et al., 1987). In memoriam (AASM)

Frequently Asked Questions

What is insomnia?

Insomnia is a persistent difficulty falling asleep, staying asleep, or waking too early, that happens despite having enough opportunity to sleep and causes distress or problems during the day. It becomes a chronic disorder when it occurs at least three nights a week for three months or more.

What causes insomnia?

An acute bout is usually triggered by a stressor such as illness or worry, but this trigger typically fades. Insomnia becomes chronic through perpetuating factors — spending too long in bed, napping, worrying about sleep, and trying hard to sleep — which keep the problem going after the original cause is gone.

Why does trying to sleep make it worse?

Falling asleep is an involuntary process, so it cannot be produced on demand. Deliberate effort and the intention to sleep recruit the attention and arousal systems that oppose sleep, so the harder a person tries, the more awake they become. This is why leaving the bed is more effective than trying harder.

Is insomnia the same as sleep deprivation?

No. Sleep deprivation is a shortage of sleep imposed by circumstances — too little time or opportunity. Insomnia is an inability to sleep despite having adequate opportunity, and it is driven by hyperarousal and by the cognition surrounding sleep rather than by an external limit on time.

How much sleep do people with insomnia actually lose?

Often less than they think. Objective recordings show that people with insomnia frequently sleep more than they believe, and the amount of measured sleep lost correlates poorly with how severe the complaint feels. The disorder is defined by dissatisfaction and daytime impairment, not by a fixed number of missing hours.

How is insomnia diagnosed?

It is diagnosed from the history and a sleep diary rather than a laboratory test. The key criteria are difficulty with sleep at least three nights a week for at least three months, despite adequate opportunity, with daytime consequences. A sleep study is used only to rule out other disorders such as sleep apnea.

What is the best treatment for insomnia?

The first-line treatment recommended by clinical guidelines is cognitive behavioural therapy for insomnia (CBT-I), not medication. It combines stimulus control, sleep restriction, cognitive therapy, and relaxation to target the factors that perpetuate the disorder, and its effects outlast those of sleeping pills.

Does insomnia lead to depression?

Insomnia is closely linked to depression, and the relationship runs in both directions. Longitudinal studies show that insomnia is not only a symptom of low mood but a predictor of it, roughly doubling the risk of a later depressive episode, which is one reason treating insomnia in its own right matters.

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