Citations & Sources

References

The following references support the stated statistics on the NSPN website.

1
Stat: Around 1 in 3 adults affected by poor sleep
Chattu VK, Manzar MD, Kumary S, Burman D, Spence DW, Pandi-Perumal SR. The Global Problem of Insufficient Sleep and Its Serious Public Health Implications. Healthcare (Basel). 2018 Dec 20;7(1):1. doi: 10.3390/healthcare7010001. PMID: 30577441; PMCID: PMC6473877.
A peer-reviewed open-access article examining the global burden of insufficient sleep and its public health consequences. Available freely via PubMed Central using PMCID: PMC6473877.
doi.org/10.3390/healthcare7010001 — Full article (open access) PubMed Central — PMC6473877
2
Stat: £40bn annual economic cost of sleep loss in the UK
Hafner M, Stepanek M, Taylor J, Troxel WM, van Stolk C. Why Sleep Matters — The Economic Costs of Insufficient Sleep: A Cross-Country Comparative Analysis. RAND Corporation; 2016. RR-1791-VHB.
A cross-country economic analysis covering the USA, UK, Germany, Japan, and Canada. The UK figure of up to £40 billion reflects the estimated annual GDP loss attributable to insufficient sleep, including costs from absenteeism and reduced productivity. Note: this figure reflects the broader economic cost of sleep loss and is not limited to diagnosed sleep disorders.
rand.org — Full report (RR-1791-VHB)
3
Stat: 15–30% of children aged 3–12 years have sleep difficulties
Emrick BB. A clinical guide to pediatric sleep. Journal of Developmental & Behavioral Pediatrics. 2016; 37(5): 431.
A clinical review providing guidance on the assessment and management of sleep problems in children. Estimates the prevalence of sleep difficulties in children aged 3–12 years at 15–30%.
doi.org/10.1097/DBP.0000000000000271 — J Dev Behav Pediatr, Vol 37(5)
Supporting reference
Carskadon MA, Dement WC. Normal human sleep: an overview. In: Kryger M, Roth T, Dement WC, eds. Principles and Practice of Sleep Medicine. 6th ed. Elsevier; 2017: 15–24.
A foundational textbook chapter on normal human sleep architecture across the lifespan, widely cited in sleep medicine. Provides normative data on sleep patterns in children and adults.
elsevier.com — Principles and Practice of Sleep Medicine, 6th ed.
4
Stat: Insomnia is the most prevalent sleep disorder in the UK
Parliamentary Office of Science and Technology (POST). Sleep and Health. POSTnote Number 585. UK Parliament; 2025.
An evidence-based briefing for UK parliamentarians drawing on peer-reviewed research and expert interviews. Identifies insomnia as one of the two most common sleep-wake disorders presenting to clinicians in the UK, affecting between 6–40% of the population depending on definition, and confirms it is the most prevalent sleep disorder seen in primary care.
post.parliament.uk — POSTnote 585
Supporting reference
The Sleep Charity. Dreaming of Change: A Manifesto for Sleep. The Sleep Charity; April 2024.
A report commissioned by The Sleep Charity, based on a survey of 2,000 UK adults, highlighting the scale of undiagnosed and untreated sleep disorders in the UK including insomnia as the most commonly reported disorder.
thesleepcharity.org.uk — Dreaming of Change report
5
Stat: 45% increased risk of cardiovascular disease or death in patients with insomnia
Sofi F, Cesari F, Casini A, Macchi C, Abbate R, Gensini GF. Insomnia and risk of cardiovascular disease: a meta-analysis. European Journal of Preventive Cardiology. 2014;21(1):57–64. doi: 10.1177/2047487312460020.
A systematic meta-analysis of epidemiological studies examining the relationship between insomnia and cardiovascular disease risk. Found that insomnia is associated with a 45% increased risk of developing or dying from cardiovascular disease.
doi.org/10.1177/2047487312460020 — Eur J Prev Cardiol, Vol 21(1)
6
Stat: Insomnia as a predictor of depression
Baglioni C, Battagliese G, Feige B, Spiegelhalder K, Nissen C, Voderholzer U, Lombardo C, Riemann D. Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies. Journal of Affective Disorders. 2011 Dec;135(1-3):10–19. doi: 10.1016/j.jad.2011.01.011. Epub 2011 Feb 5. PMID: 21300408.
A meta-analysis of longitudinal epidemiological studies demonstrating that insomnia significantly increases the risk of developing depression. People with insomnia have approximately twice the risk of developing depression compared to those without sleep difficulties.
doi.org/10.1016/j.jad.2011.01.011 — J Affect Disord, Vol 135(1-3) PubMed — PMID: 21300408
7
Stat: 70% of migraine sufferers have insomnia
Stanyer EC, Creeney H, Nesbitt AD, Holland PR, Hoffmann J. Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis. Neurology. 2021;97(16):e1620–e1631. doi: 10.1212/WNL.0000000000012701. PMID: 34551985.
A systematic review and meta-analysis found that approximately 70% of migraine sufferers experience insomnia, demonstrating a significant bidirectional relationship between migraine and sleep disturbance.
PMC — PMID: 34551985 (free full text)
8
Stat: Migraine affects 1 in 3 women
The Migraine Trust. All about migraine: toolkit for MPs. 2022.
Migraine affects approximately 1 in 3 women in the UK, making it one of the most prevalent neurological conditions disproportionately affecting women.
migrainetrust.org — All about migraine toolkit (2022)
9
Stat: Sleep disorders can predict neurodegenerative disease onset up to 15 years in advance
Simmonds E, Levine KS, Han J, et al. Sleep disturbances as risk factors for neurodegeneration later in life. npj Dementia. 2025;1:6. doi: 10.1038/s44400-025-00008-0.
A 2025 study published in npj Dementia examining the relationship between sleep disturbances and subsequent neurodegenerative disease. Findings indicate that sleep disorders may impart measurable risk up to 15 years before the clinical onset of neurodegenerative conditions such as Parkinson's disease and dementia.
doi.org/10.1038/s44400-025-00008-0 — npj Dementia, Vol 1 (2025)
10
Stat: 50% of adolescents get less than the recommended amount of sleep on school nights
Wheaton AG, Jones SE, Cooper AC, Croft JB. Short sleep duration among middle school and high school students — United States, 2015. MMWR Morb Mortal Wkly Rep. 2018;67(3):85–90.
Large-scale survey data demonstrating that the majority of adolescents fail to achieve recommended sleep durations, with significant implications for academic performance, mental health, and metabolic health.
doi.org/10.15585/mmwr.mm6703a1
11
Stat: 75% of children with neurodevelopmental conditions have significant sleep problems
Ogundele MO, Yemula C. Management of sleep disorders among children and adolescents with neurodevelopmental disorders: A practical guide for clinicians. World J Clin Pediatr. 2022;11(3):239–252. doi: 10.5409/wjcp.v11.i3.239. PMID: 35663001; PMCID: PMC9134149.
A comprehensive clinical review reporting that up to 75% of children and young people with neurodevelopmental, emotional, behavioural and intellectual disorders experience significant sleep problems, including insomnia and sleep maintenance difficulties, with wide-ranging impact on behaviour, cognition, and academic performance.
PMC — PMID: 35663001 (free full text)
12
Stat: Poor sleep is consistently associated with behavioural and cognitive difficulties across childhood
Astill RG, Van der Heijden KB, Van IJzendoorn MH, Van Someren EJW. Sleep, cognition, and behavioral problems in school-age children: a century of research meta-analyzed. Psychol Bull. 2012;138(6):1109–38. doi: 10.1037/a0028204. PMID: 22545685.
A landmark meta-analysis synthesising 86 studies involving 35,936 school-age children (5–12 years), demonstrating consistent associations between sleep duration, cognitive performance, and behavioural difficulties. Better sleep was significantly associated with better cognitive performance and fewer behavioural problems across multiple domains including executive function, school performance, and emotional regulation.
doi.org/10.1037/a0028204 PubMed — PMID: 22545685
13
Stat: 9–12 hours recommended sleep for school-age children aged 6–12
Paruthi S, Brooks LJ, D'Ambrosio C, et al. Recommended amount of sleep for pediatric populations: a consensus statement of the American Academy of Sleep Medicine. J Clin Sleep Med. 2016;12(6):785–6.
AASM consensus statement providing evidence-based sleep duration recommendations for children and adolescents across different age groups.
doi.org/10.5664/jcsm.5866
14
Stat: Sleep disorders in pregnancy — insomnia, OSA, restless legs syndrome and circadian rhythm disruption are all prevalent and associated with adverse maternal and fetal outcomes
Proserpio P, Marra S, Campana C, Agosti M, Saraceno B, Nobili L. Common sleep disorders in pregnancy: a review. J Clin Med. 2022;11(3):516. doi: 10.3390/jcm11030516. PMID: 37683399.
A comprehensive open-access review covering common sleep disorders during pregnancy including insomnia, obstructive sleep apnoea, restless legs syndrome and circadian rhythm disorders. The paper discusses their prevalence, risk factors and contribution to adverse maternal and fetal outcomes including gestational diabetes, hypertension and preterm birth.
PMC10475609 (free full text)
15
Stat: Prevalence of sleep disorders ranges from 16–47% during perimenopause and increases to 35–60% in menopause
Caretto M, Giannini A, Simoncini T. Sleep disturbance and perimenopause: a narrative review. Menopause. 2025;32(3):255–262. doi: 10.1097/GME.0000000000002473. PMID: 39918355.
A 2025 open-access narrative review describing the prevalence and pathogenesis of sleep disorders during the menopausal transition. The review reports that sleep disorders affect 16–47% of perimenopausal women, rising to 35–60% in postmenopausal women. Frequent and early awakenings, difficulty falling asleep and interrupted sleep are identified as hallmarks, driven by vasomotor symptoms, hormonal changes and mood disturbance. The review covers insomnia, sleep-related breathing disorders and movement disorders, and discusses pharmacological and non-pharmacological treatment options.
PMC11901009 (free full text)
16
Stat: Shift work is associated with increased risk of cardiovascular disease, diabetes, obesity, hypertension and metabolic syndrome
Makarem N, Paul J, Giontella A, Kanchi R, St-Onge MP. Associations between circadian disruption and cardiometabolic disease risk: a review. Front Neurosci. 2023;17:1150078. doi: 10.3389/fnins.2023.1150078. PMID: 36968491.
Open-access review demonstrating that circadian disruption associated with shift work is a risk factor for cardiovascular disease, diabetes, obesity, hypertension and metabolic disorders. Meta-analyses cited in the paper show shift workers are approximately 23% more likely to be overweight or obese, carry a 14% increased risk of incident diabetes, and have 11–35% increased odds of metabolic syndrome.
PMC9974590 (free full text)
17
Stat: Shift work is associated with increased risk of depression, anxiety and poor mental health
Torquati L, Mielke GI, Brown WJ, Burton NW, Kolbe-Alexander TL. Shift work and poor mental health: a meta-analysis of longitudinal studies. Am J Public Health. 2019;109(11):1569–1576. doi: 10.2105/AJPH.2019.305278. PMID: 31536404.
Meta-analysis of longitudinal studies demonstrating that shift work is significantly associated with increased risk of depressive symptoms, anxiety and poor mental health. Altered sleep patterns from shift work were associated with irritability, depressed mood, anxiety and nervousness, with female shift workers at particular risk of poor psychological wellbeing.
PMC6775929 (free full text)
18
Stat: Up to 50% of older adults report significant sleep difficulties
Brewster GS, Riegel B, Gehrman PR. Insomnia in the Older Adult. Sleep Med Clin. 2018 Mar;13(1):13–19. doi: 10.1016/j.jsmc.2017.09.002. Epub 2017 Nov 22. PMID: 29412980; PMCID: PMC5847293.
A clinical review of insomnia in older adults reporting that up to 50% of this population experience significant sleep difficulties, including problems with sleep onset, maintenance and early morning waking. The review discusses the multifactorial aetiology of insomnia in older adults, including comorbid medical and psychiatric conditions, polypharmacy, and changes in circadian rhythm associated with ageing.
doi.org/10.1093/sleep/18.6.425
19
Stat: 2.4× higher risk of hip fracture in older adults — even with short-term hypnotic use
Donnelly K, Bracchi R, Hewitt J, Routledge PA, Carter B. Benzodiazepines, Z-drugs and the risk of hip fracture: a systematic review and meta-analysis. PLoS One. 2017;12(4):e0174730. doi: 10.1371/journal.pone.0174730. PMID: 28448593.
Open-access systematic review and meta-analysis demonstrating that both benzodiazepines (RR 1.52) and Z-drugs (RR 1.90) significantly increase hip fracture risk in older adults. Critically, short-term use carried the greatest risk, with Z-drugs associated with a 2.39-fold increased risk of hip fracture even in new users — directly challenging the assumption that short-term prescribing is safe in this population.
doi.org/10.1371/journal.pone.0174730
20
Stat: 1 in 5 people with dementia have clinically significant sleep disturbance
Webster L, Costafreda Gonzalez S, Stringer A, Lineham A, Budgett J, Kyle S, Barber J, Livingston G. Measuring the prevalence of sleep disturbances in people with dementia living in care homes: a systematic review and meta-analysis. Sleep. 2020;43(4):zsz251. doi: 10.1093/sleep/zsz251. PMID: 31633188.
Systematic review and meta-analysis of 55 studies involving 22,780 participants. The pooled prevalence of clinically significant sleep disturbance in people with dementia living in care homes was 20% (1 in 5), based on validated questionnaire measures. The authors note that actigraphy-based thresholds should be interpreted with caution in older populations given normal age-related changes in sleep architecture.
academic.oup.com — Sleep, Vol 43(4) · PMID: 31633188
21
Stat: 3× higher rate of hypnotic prescribing in care home residents than in those living at home
Johnson CF, Frei C, Downes N, McTaggart SA, Akram G. Benzodiazepine and z-hypnotic prescribing for older adults in primary care: a cross-sectional population-based study. Br J Gen Pract. 2016;66(647):e410–e415. doi: 10.3399/bjgp16X685213. PMID: 27162205.
A cross-sectional population-based study of primary care prescribing data examining benzodiazepine and Z-drug prescribing in older adults in Scotland. The study found that care home residents were approximately three times more likely to be prescribed one or more benzodiazepines or Z-drugs compared with community-dwelling older adults, highlighting significant concerns about the appropriateness of hypnotic prescribing in residential care settings.
doi.org/10.3399/bjgp16X685213 — Br J Gen Pract 2016;66(647)