Cited by 527Sleep and related disordersSleep and Work-Related FatigueWorkplace Health and Well-being

Insomnia and the Performance of US Workers: Results from the America Insomnia Survey

Open access
Kessler, Ronald C., Berglund, Patricia A., Coulouvrat, Catherine, Hajak, Goeran, Roth, Thomas, Shahly, Victoria, Shillington, Alicia C., Stephenson, Judith J. +1 more·2011·Sleep

Abstract

STUDY OBJECTIVES: To estimate the prevalence and associations of broadly defined (i.e., meeting full ICD-10, DSM-IV, or RDC/ICSD-2 inclusion criteria) insomnia with work performance net of comorbid conditions in the America Insomnia Survey (AIS). DESIGN/SETTING: Cross-sectional telephone survey. PARTICIPANTS: National sample of 7,428 employed health plan subscribers (ages 18+). INTERVENTIONS: None. MEASUREMENTS AND RESULTS: Broadly defined insomnia was assessed with the Brief Insomnia Questionnaire (BIQ). Work absenteeism and presenteeism (low on-the-job work performance defined in the metric of lost workday equivalents) were assessed with the WHO Health and Work Performance Questionnaire (HPQ). Regression analysis examined associations between insomnia and HPQ scores controlling 26 comorbid conditions based on self-report and medical/pharmacy claims records. The estimated prevalence of insomnia was 23.2%. Insomnia was significantly associated with lost work performance due to presenteeism (χ² (1) = 39.5, P < 0.001) but not absenteeism (χ² (1) = 3.2, P = 0.07), with an annualized individual-level association of insomnia with presenteeism equivalent to 11.3 days of lost work performance. This estimate decreased to 7.8 days when controls were introduced for comorbid conditions. The individual-level human capital value of this net estimate was $2,280. If we provisionally assume these estimates generalize to the total US workforce, they are equivalent to annualized population-level estimates of 252.7 days and $63.2 billion. CONCLUSIONS: Insomnia is associated with substantial workplace costs. Although experimental studies suggest some of these costs could be recovered with insomnia disease management programs, effectiveness trials are needed to obtain precise estimates of return-on-investment of such interventions from the employer perspective.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.5665/sleep.1230

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Women, military veterans, and those with comorbid medical and psychiatric conditions are disproportionately impacted by insomnia.

    “women, military veterans, and those with comorbid medical and psychiatric conditions are disproportionally impacted by insomnia”

    From Novel Treatment Based on Acceptance and Commitment Therapy Versus Cognitive Behavioral Therapy for Insomnia: A Randomized Comparative Effectiveness Trial in Women Veterans (2023) · cites this paper as Kessler et al., 2011

    The Results (page not specified) report higher insomnia prevalence among employed women than men. The Methods (page not specified) identify medical and emotional disorders associated with elevated rates of insomnia. The cited paper does not establish the claim about military veterans, and its prevalence finding concerns employed respondents rather than the population generally. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 61

  1. [1]Roth T. Prevalence, associated risks, and treatment patterns of insomnia. J Clin Psychiatry. 2005;66(Suppl 9):10–3. quiz 42-3. [PubMed] [Google Scholar]
  2. [2]Colten HR, Altevogt MB, editors. Washington, DC: National Academies of Science; 2006. Sleep Disorders and Sleep Deprivation: An Unmet Public Health Problem. [PubMed] [Google Scholar]
  3. [3]Edinger JD, Means MK, Carney CE, Krystal AD. Psychomotor performance deficits and their relation to prior nights' sleep among individuals with primary insomnia. Sleep. 2008;31:599–607. doi: 10.1093/sleep/31.5.599. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
  4. [4]Shekleton JA, Rogers NL, Rajaratnam SM. Searching for the daytime impairments of primary insomnia. Sleep Med Rev. 2010;14:47–60. doi: 10.1016/j.smrv.2009.06.001. [DOI] [PubMed] [Google Scholar] · DOI
  5. [7]Daley M, Morin CM, LeBlanc M, Gregoire JP, Savard J. The economic burden of insomnia: direct and indirect costs for individuals with insomnia syndrome, insomnia symptoms, and good sleepers. Sleep. 2009;32:55–64. [PMC free article] [PubMed] [Google Scholar]
  6. [8]Metlaine A, Leger D, Choudat D. Socioeconomic impact of insomnia in working populations. Ind Health. 2005;43:11–9. doi: 10.2486/indhealth.43.11. [DOI] [PubMed] [Google Scholar] · DOI
  7. [9]Chilcott LA, Shapiro CM. The socioeconomic impact of insomnia. An overview. Pharmacoeconomics. 1996;10(Suppl 1):1–14. doi: 10.2165/00019053-199600101-00003. [DOI] [PubMed] [Google Scholar] · DOI
  8. [10]Kleinman NL, Brook RA, Doan JF, Melkonian AK, Baran RW. Health benefit costs and absenteeism due to insomnia from the employer's perspective: a retrospective, case-control, database study. J Clin Psychiatry. 2009;70:1098–104. doi: 10.4088/JCP.08m04264. [DOI] [PubMed] [Google Scholar] · DOI
  9. [11]Ozminkowski RJ, Wang S, Walsh JK. The direct and indirect costs of untreated insomnia in adults in the United States. Sleep. 2007;30:263–73. doi: 10.1093/sleep/30.3.263. [DOI] [PubMed] [Google Scholar] · DOI
  10. [12]Bolge SC, Doan JF, Kannan H, Baran RW. Association of insomnia with quality of life, work productivity, and activity impairment. Qual Life Res. 2009;18:415–22. doi: 10.1007/s11136-009-9462-6. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  11. [13]Sateia MJ, Pigeon WR. Identification and management of insomnia. Med Clin North Am. 2004;88:567–96. doi: 10.1016/j.mcna.2004.01.008. [DOI] [PubMed] [Google Scholar] · DOI
  12. [14]Johnson EO, Roehrs T, Roth T, Breslau N. Epidemiology of alcohol and medication as aids to sleep in early adulthood. Sleep. 1998;21:178–86. doi: 10.1093/sleep/21.2.178. [DOI] [PubMed] [Google Scholar] · DOI
  13. [15]Rosekind MR, Gregory KB. Insomnia risks and costs: health, safety, and quality of life. Am J Manag Care. 2010;16:617–26. [PubMed] [Google Scholar]
  14. [17]Kessler RC, Ames M, Hymel PA, et al. Using the World Health Organization Health and Work Performance Questionnaire (HPQ) to evaluate the indirect workplace costs of illness. J Occup Environ Med. 2004;46:S23–37. doi: 10.1097/01.jom.0000126683.75201.c5. [DOI] [PubMed] [Google Scholar] · DOI
  15. [18]Kessler RC, Barber C, Beck A, et al. The World Health Organization Health and Work Performance Questionnaire (HPQ) J Occup Environ Med. 2003;45:156–74. doi: 10.1097/01.jom.0000052967.43131.51. [DOI] [PubMed] [Google Scholar] · DOI
  16. [19]Summers MO, Crisostomo MI, Stepanski EJ. Recent developments in the classification, evaluation, and treatment of insomnia. Chest. 2006;130:276–86. doi: 10.1378/chest.130.1.276. [DOI] [PubMed] [Google Scholar] · DOI
  17. [20]Reynolds CF, 3rd, Redline S. The DSM-v sleep-wake disorders nosology: an update and an invitation to the sleep community. J Clin Sleep Med. 2010;6:9–10. [PMC free article] [PubMed] [Google Scholar]
  18. [21]National Institute of Health. NIH State-of-the-Science Conference Statement on manifestations and management of chronic insomnia in adults. NIH Consens State Sci Statements. 2005;22:1–30. [PubMed] [Google Scholar]
  19. [22]Buysse DJ, Ancoli-Israel S, Edinger JD, Lichstein KL, Morin CM. Recommendations for a standard research assessment of insomnia. Sleep. 2006;29:1155–73. doi: 10.1093/sleep/29.9.1155. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  20. [24]Parish JM. Sleep-related problems in common medical conditions. Chest. 2009;135:563–72. doi: 10.1378/chest.08-0934. [DOI] [PubMed] [Google Scholar] · DOI
  21. [25]Center for Disease Control and Prevention. Health. Atlanta, GA: Centers for Disease Control and Prevention; 2004. [Google Scholar]
  22. [26]Knight M, Stewart-Brown S, Fletcher L. Estimating health needs: the impact of a checklist of conditions and quality of life measurement on health information derived from community surveys. J Public Health Med. 2001;23:179–86. doi: 10.1093/pubmed/23.3.179. [DOI] [PubMed] [Google Scholar] · DOI
  23. [27]Baker M, Stabile M, Deri C. What do Self-reported, objective, measures of health measure? J Hum Resour. 2001;39:1067–93. [Google Scholar]
  24. [28]Edwards WS, Winn DM, Kurlantzick V, et al. Evaluation of National Health Interview Survey Diagnostic Reporting. National Center for Health Statistics. Vital Health Stat 2. 1994;120:1–116. [PubMed] [Google Scholar]
  25. [29]Revicki DA, Rentz AM, Dubois D, et al. Gastroparesis Cardinal Symptom Index (GCSI): development and validation of a patient reported assessment of severity of gastroparesis symptoms. Qual Life Res. 2004;13:833–44. doi: 10.1023/B:QURE.0000021689.86296.e4. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  26. [30]Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131:485–91. doi: 10.7326/0003-4819-131-7-199910050-00002. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  27. [31]Rush AJ, Trivedi MH, Ibrahim HM, et al. The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol Psychiatry. 2003;54:573–83. doi: 10.1016/s0006-3223(02)01866-8. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  28. [32]Sharma SK, Vasudev C, Sinha S, Banga A, Pandey RM, Handa KK. Validation of the modified Berlin questionnaire to identify patients at risk for the obstructive sleep apnoea syndrome. Indian J Med Res. 2006;124:281–90. [PubMed] [Google Scholar]
  29. [34]Winkelman JW, Shahar E, Sharief I, Gottlieb DJ. Association of restless legs syndrome and cardiovascular disease in the Sleep Heart Health Study. Neurology. 2008;70:35–42. doi: 10.1212/01.wnl.0000287072.93277.c9. [DOI] [PubMed] [Google Scholar] · DOI
  30. [35]McCullagh P, Nelder JA. Generalized linear models. 2nd Edition. London: Chapman & Hall; 1989. [Google Scholar]
  31. [36]Buntin MB, Zaslavsky AM. Too much ado about two-part models and transformation? Comparing methods of modeling Medicare expenditures. J Health Econ. 2004;23:525–42. doi: 10.1016/j.jhealeco.2003.10.005. [DOI] [PubMed] [Google Scholar] · DOI
  32. [37]Wolter KM. Introduction to variance estimation. New York: Springer-Verlag; 1985. [Google Scholar]
  33. [38]SAS Institute Inc. Cary, NC: SAS Institute Inc.; 2002. SAS/STAT Software, Version 9.1 for Unix. [Google Scholar]
  34. [40]Ohayon MM, Caulet M, Guilleminault C. How a general population perceives its sleep and how this relates to the complaint of insomnia. Sleep. 1997;20:715–23. doi: 10.1093/sleep/20.9.715. [DOI] [PubMed] [Google Scholar] · DOI
  35. [41]Ohayon MM, Partinen M. Insomnia and global sleep dissatisfaction in Finland. J Sleep Res. 2002;11:339–46. doi: 10.1046/j.1365-2869.2002.00317.x. [DOI] [PubMed] [Google Scholar] · DOI
  36. [43]Andrews G, Peters L. The psychometric properties of the Composite International Diagnostic Interview. Soc Psychiatry Psychiatr Epidemiol. 1998;33:80–8. doi: 10.1007/s001270050026. [DOI] [PubMed] [Google Scholar] · DOI
  37. [44]Andrews G, Slade T. The classification of anxiety disorders in ICD-10 and DSM-IV: a concordance analysis. Psychopathology. 2002;35:100–6. doi: 10.1159/000065127. [DOI] [PubMed] [Google Scholar] · DOI
  38. [45]Slade T, Andrews G. DSM-IV and ICD-10 generalized anxiety disorder: discrepant diagnoses and associated disability. Soc Psychiatry Psychiatr Epidemiol. 2001;36:45–51. doi: 10.1007/s001270050289. [DOI] [PubMed] [Google Scholar] · DOI
  39. [46]Andrews G, Anderson TM, Slade T, Sunderland M. Classification of anxiety and depressive disorders: problems and solutions. Depress Anxiety. 2008;25:274–81. doi: 10.1002/da.20489. [DOI] [PubMed] [Google Scholar] · DOI
  40. [47]Lichstein KL, Durrence HH, Taylor DJ, Bush AJ, Riedel BW. Quantitative criteria for insomnia. Behav Res Ther. 2003;41:427–45. doi: 10.1016/s0005-7967(02)00023-2. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  41. [48]Ohayon MM, Caulet M, Priest RG, Guilleminault C. DSM-IV and ICSD-90 insomnia symptoms and sleep dissatisfaction. Br J Psychiatry. 1997;171:382–8. doi: 10.1192/bjp.171.4.382. [DOI] [PubMed] [Google Scholar] · DOI
  42. [49]Ohayon MM, Smirne S. Prevalence and consequences of insomnia disorders in the general population of Italy. Sleep Med. 2002;3:115–20. doi: 10.1016/s1389-9457(01)00158-7. [DOI] [PubMed] [Google Scholar] · DOI
  43. [50]Ohayon MM, Vecchierini MF. Daytime sleepiness and cognitive impairment in the elderly population. Arch Intern Med. 2002;162:201–8. doi: 10.1001/archinte.162.2.201. [DOI] [PubMed] [Google Scholar] · DOI
  44. [51]Ohayon MM, Zulley J. Correlates of global sleep dissatisfaction in the German population. Sleep. 2001;24:780–7. [PubMed] [Google Scholar]
  45. [52]Ohayon MM. Improving decisionmaking processes with the fuzzy logic approach in the epidemiology of sleep disorders. J Psychosom Res. 1999;47:297–311. doi: 10.1016/s0022-3999(99)00010-0. [DOI] [PubMed] [Google Scholar] · DOI
  46. [53]Ohayon MM, Roth T. What are the contributing factors for insomnia in the general population? J Psychosom Res. 2001;51:745–55. doi: 10.1016/s0022-3999(01)00285-9. [DOI] [PubMed] [Google Scholar] · DOI
  47. [54]Ohayon MM, Guilleminault C, Zulley J, Palombini L, Raab H. Validation of the sleep-EVAL system against clinical assessments of sleep disorders and polysomnographic data. Sleep. 1999;22:925–30. doi: 10.1093/sleep/22.7.925. [DOI] [PubMed] [Google Scholar] · DOI
  48. [55]Swanson LM, Arnedt JT, Rosekind MR, Belenky G, Balkin TJ, Drake C. Sleep disorders and work performance: findings from the 2008 National Sleep Foundation Sleep in America poll. J Sleep Res. 2010 doi: 10.1111/j.1365-2869.2010.00890.x. [DOI] [PubMed] [Google Scholar] · DOI
  49. [56]Leger D, Guilleminault C, Dreyfus JP, Delahaye C, Paillard M. Prevalence of insomnia in a survey of 12,778 adults in France. J Sleep Res. 2000;9:35–42. doi: 10.1046/j.1365-2869.2000.00178.x. [DOI] [PubMed] [Google Scholar] · DOI
  50. [58]Sivertsen B, Krokstad S, Overland S, Mykletun A. The epidemiology of insomnia: associations with physical and mental health. The HUNT-2 study. J Psychosom Res. 2009;67:109–16. doi: 10.1016/j.jpsychores.2009.05.001. [DOI] [PubMed] [Google Scholar] · DOI
  51. [59]Klink M, Quan SF. Prevalence of reported sleep disturbances in a general adult population and their relationship to obstructive airways diseases. Chest. 1987;91:540–6. doi: 10.1378/chest.91.4.540. [DOI] [PubMed] [Google Scholar] · DOI
  52. [61]Roth T, Coulouvrat C, Hajak G, et al. Prevalence and perceived health associated with insomnia based on DSM-IV-TR, ICD-10, and RDC/ICSD-2 criteria: Results from the America Insomnia Survey (AIS) Biol Psychiatry. 2011;69:592–600. doi: 10.1016/j.biopsych.2010.10.023. [DOI] [PubMed] [Google Scholar] · DOI
  53. [64]Gureje O, Makanjuola VA, Kola L. Insomnia and role impairment in the community: results from the Nigerian survey of mental health and wellbeing. Soc Psychiatry Psychiatr Epidemiol. 2007;42:495–501. doi: 10.1007/s00127-007-0183-2. [DOI] [PubMed] [Google Scholar] · DOI
  54. [65]Leger D, Massuel MA, Metlaine A. Professional correlates of insomnia. Sleep. 2006;29:171–8. [PubMed] [Google Scholar]
  55. [66]Westerlund H, Alexanderson K, Akerstedt T, Magnusson Hanson L, Theorell T, Kivimaki M. Work-related sleep disturbances and sickness absence in the Swedish working population, 1993-1999. Sleep. 2008;31:1169–77. [PMC free article] [PubMed] [Google Scholar]
  56. [67]Godet-Cayre V, Pelletier-Fleury N, Le Vaillant M, Dinet J, Massuel MA, Leger D. Insomnia and absenteeism at work. Who pays the cost? Sleep. 2006;29:179–84. doi: 10.1093/sleep/29.2.179. [DOI] [PubMed] [Google Scholar] · DOI
  57. [68]Sivertsen B, Overland S, Neckelmann D, et al. The long-term effect of insomnia on work disability: the HUNT-2 historical cohort study. Am J Epidemiol. 2006;163:1018–24. doi: 10.1093/aje/kwj145. [DOI] [PubMed] [Google Scholar] · DOI
  58. [69]Schultz AB, Chen CY, Edington DW. The cost and impact of health conditions on presenteeism to employers: a review of the literature. Pharmacoeconomics. 2009;27:365–78. doi: 10.2165/00019053-200927050-00002. [DOI] [PubMed] [Google Scholar] · DOI
  59. [70]Schultz AB, Edington DW. Employee health and presenteeism: a systematic review. J Occup Rehabil. 2007;17:547–79. doi: 10.1007/s10926-007-9096-x. [DOI] [PubMed] [Google Scholar] · DOI
  60. [72]Irwin MR, Cole JC, Nicassio PM. Comparative meta-analysis of behavioral interventions for insomnia and their efficacy in middle-aged adults and in older adults 55+ years of age. Health Psychol. 2006;25:3–14. doi: 10.1037/0278-6133.25.1.3. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  61. [73]Erman M, Guiraud A, Joish VN, Lerner D. Zolpidem extended-release 12.5 mg associated with improvements in work performance in a 6-month randomized, placebo-controlled trial. Sleep. 2008;31:1371–8. [PMC free article] [PubMed] [Google Scholar]

Cited by

Sorted by citations

Authors
Kessler, R. C., Berglund, P. A., Coulouvrat, C., Hajak, G., Roth, T., Shahly, V., Shillington, A. C., Stephenson, J. J., & Walsh, J. K.
Affiliations
  • Harvard University (US)
  • University of Michigan (US)
  • Sanofi (France) (FR)
  • University of Regensburg (DE)
  • Henry Ford Health (US)
  • Epi-Q (United States) (US)
  • Carelon Research (United States) (US)
  • St. Luke's Hospital (US)
Corresponding author
Kessler, Ronald C.
Venue
Sleep
Published
2011-09
Volume
34
Issue
9
Pages
1161-1171
ISSN
  • 0161-8105 (ISSN-L)
  • 1550-9109
OpenAlex
W2111203770
Cited by
527
References
13
Citations by year
2026: 24 · 2025: 33 · 2024: 25 · 2023: 43 · 2022: 53 · 2021: 57 · 2020: 63 · 2019: 35 · 2018: 26 · 2017: 30 · 2016: 32 · 2015: 29 · 2014: 25 · 2013: 29 · 2012: 16
FWCI
29.68
Type
journal article
Language
en
Open access
Locations
  • SLEEP (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
Funders
Sanofi
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
Keywords
insomnia, employee performance, presenteeism, absenteeism, comorbidities, human capital, insomnia prevalence, employer perceptions
MeSH terms
Absenteeism, Adult, Cross-Sectional Studies, Employee Performance Appraisal, Employment, Female, Health Surveys, Humans, Sleep Initiation and Maintenance Disorders, Male, Middle Aged, United States, Cost of Illness, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review