Quality of life, depression, and productivity of city government employees in Japan: a comparison study using the Athens insomnia scale and insomnia severity index
Tóm tắt
Insomnia has a high prevalence in modern society. Various tools have been developed to assess insomnia. We performed a direct comparison between the Insomnia Severity Index (ISI) and the Athens Insomnia Scale (AIS) in a Japanese population. A cross-sectional questionnaire-based study was conducted in September 2017 as part of the Night in Japan Home Sleep Monitoring Study. In addition to insomnia, assessed using the AIS and ISI, depression, sleepiness, quality of life, and work performance were assessed using the Patient Health Questionnaire (PHQ)-9, a Japanese version of the Epworth Sleepiness Scale, the Short Form-8 Health Survey Questionnaire (SF-8), and the World Health Organization Health and Work Performance Questionnaire, respectively. Receiver operating characteristic (ROC) curves were constructed to compare the outcomes of the AIS and the ISI. A total of 1685 (81.9%) of all eligible employees were enrolled. The total scores of the AIS and ISI had a Pearson correlation coefficient (r) of 0.80 (p < 0.01). The area under the ROC curve for the AIS and ISI for the detection of depression (PHQ-9 ≥ 10) was 0.89 and 0.86, respectively. The prevalence of clinical insomnia (ISI ≥ 15) and definite insomnia (AIS ≥ 10) were 6.5 and 10.8%, respectively. Both the AIS and ISI showed a weak negative correlation with the physical component summary score of the SF-8 (r = − 0.37, p < 0.01 and r = − 0.32, p < 0.01, respectively) and absolute presenteeism (r = − 0.32, p < 0.01 and r = − 0.28, p < 0.01, respectively) and a moderate negative correlation with the mental component summary score of the SF-8 (r = − 0.53, p < 0.01 and r = − 0.43, p < 0.01, respectively). A strong positive correlation was found between the total scores of the AIS and ISI. Both the AIS and ISI were found to be associated with low physical and mental quality of life, depression, and productivity loss at work. Moreover, they had a moderate accuracy for detecting depression. Both the AIS and ISI may serve as useful screening tools for both insomnia and depression in the Japanese working population. UMIN-CTR (UMIN000028675, registered on 2017/8/15) and
ClinicalTrials.gov
(
NCT03276585
, registered on 2017/9/3).
Tài liệu tham khảo
American Academy of Sleep Medicine. The international classification of sleep disorders: diagnostic and coding manual. 2nd ed. Westchester, IL: American Academy of Sleep Medicine; 2005.
American Academy of Sleep Medicine. The international classification of sleep disorders. 3rd ed. Darien, IL: American Academy of Sleep Medicine; 2014.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Washington, DC: American Psychiatric Publishing; 2010.
Bastien CH, Vallières A, Morin CM. Validation of the insomnia severity index as an outcome measure for insomnia research. Sleep Med. 2001;2:297–307.
Blair E, Zinkhan GM. Nonresponse and generalizability in academic research. J Acad Marketing Sci. 2006;34:4–7. https://doi.org/10.1177/0092070305283778.
Bolge SC, Doan JF, Kannan H, Baran RW. Association of insomnia with quality of life, work productivity, and activity impairment. Qual Life Res. 2009; https://doi.org/10.1007/s11136-009-9462-6.
Chiu HY, Chang LY, Hsieh YJ, Tsai PS. A meta-analysis of diagnostic accuracy of three screening tools for insomnia. J Psychosom Res. 2016; https://doi.org/10.1016/j.jpsychores.2016.06.010.
Chung KF, Kan KK, Yeung WF. Assessing insomnia in adolescents: comparison of insomnia severity index, Athens insomnia scale and sleep quality index. Sleep Med. 2011; https://doi.org/10.1016/j.sleep.2010.09.019.
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.
Fukuhara S, Suzukamo Y. Manual of the SF-8 Japanese version (in Japanese). Kyoto: Institute for Health Outcomes and Process Evaluation Research; 2004.
Gilbody S, Richards D, Brealey S, Hewitt C. Screening for depression in medical settings with the patient health questionnaire (PHQ): a diagnostic meta-analysis. J Gen Intern Med. 2007;22:1596–602.
Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2015;386:743–800. https://doi.org/10.1016/S0140-6736(15)60692-4.
Ishak WW, Bagot K, Thomas S, Magakian N, Bedwani D, Larson D, et al. Quality of life in patients suffering from insomnia. Innov Clin Neurosci. 2012;9:13–26.
Jeong HS, Jeon Y, Ma J, Choi Y, Ban S, Lee S, et al. Validation of the Athens insomnia scale for screening insomnia in south Korean firefighters and rescue workers. Qual Life Res. 2015; https://doi.org/10.1007/s11136-015-0986-7.
Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14:540–5.
Kadotani H, Nagai Y, Sozu T. Railway suicide attempts are associated with amount of sunlight in recent days. J Affect Disord. 2014; https://doi.org/10.1016/j.jad.2013.08.040.
Kadotani T, Kadotani H, Arai H, Takami M, Ito H, Matsuo M, et al. Comparison of self-reported scales and structured interviews for the assessment of depression in an urban male working population in Japan: a cross-sectional survey. Sleep Sci Practice. 2017;1:9. https://doi.org/10.1186/s41606-017-0010-y.
Kessler RC, Barber C, Beck A, Berglund P, Cleary PD, McKenas D, et al. The World Health Organization health and work performance questionnaire (HPQ). J Occup Environ Med. 2003;45:156–74.
Kessler RC, Berglund PA, Coulouvrat C, Hajak G, Roth T, Shahly V, et al. Insomnia and the performance of US workers: results from the America insomnia survey. Sleep. 2011; https://doi.org/10.5665/SLEEP.1230.
Knekt P, Lindfors O, Renlund C, Sares-Jäske L, Laaksonen MA, Virtala E. Use of auxiliary psychiatric treatment during a 5-year follow-up among patients receiving short- or long-term psychotherapy. J Affect Disord. 2011; https://doi.org/10.1016/j.jad.2011.07.024.
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.
Krystal AD. Treating the health, quality of life, and functional impairments in insomnia. J Clin Sleep Med. 2007;3:63–72.
Lomeli HA, Pérez-Olmos I, Talero-Gutiérrez C, Moreno CB, González-Reyes R, Palacios L, et al. Sleep evaluation scales and questionnaires: a review. Actas Esp Psiquiatr. 2008;36:50–9.
Matsuo M, Masuda F, Sumi Y, Takahashi M, Yamada N, Ohira MH, et al. Comparisons of portable sleep monitors of different modalities: potential as naturalistic sleep recorders. Front Neurol. 2016; https://doi.org/10.3389/fneur.2016.00110.
Okajima I, Nakajima S, Kobayashi M, Inoue Y. Development and validation of the Japanese version of the Athens insomnia scale. Psychiatry Clin Neurosci. 2013; https://doi.org/10.1111/pcn.12073.
Riemann D, Voderholzer U. Primary insomnia: a risk factor to develop depression? J Affect Disord. 2003;76:255–9.
Sahlqvist S, Song Y, Bull F, Adams E, Preston J, Ogilvie D. iConnect consortium. Effect of questionnaire length, personalisation and reminder type on response rate to a complex postal survey: randomised controlled trial. BMC Med Res Methodol. 2011;11:62. https://doi.org/10.1186/1471-2288-11-62.
Sierra JC, Guillén-Serrano V, Santos-Iglesias P. Insomnia severity index: some indicators about its reliability and validity on an older adults sample (in Spanish). Rev Neurol. 2008;47:566–70.
Soldatos CR, Dikeos DG, Paparrigopoulos TJ. Athens insomnia scale: validation of an instrument based on ICD-10 criteria. J Psychosom Res. 2000;48:555–60.
Soldatos CR, Dikeos DG, Paparrigopoulos TJ. The diagnostic validity of the Athens insomnia scale. J Psychosom Res. 2003;55:263–7.
Sunderajan P, Gaynes BN, Wisniewski SR, Miyahara S, Fava M, Akingbala F, et al. Insomnia in patients with depression: a STAR*D report. CNS Spectr. 2010;15:394–404.
Suzuki T, Miyaki K, Sasaki Y, Song Y, Tsutsumi A, Kawakami N, et al. Optimal cutoff values of WHO-HPQ presenteeism scores by ROC analysis for preventing mental sickness absence in Japanese prospective cohort. PLoS One. 2014; https://doi.org/10.1371/journal.pone.0111191.
Takegami M, Suzukamo Y, Wakita T, Noguchi H, Chin K, Kadotani H, et al. Development of a Japanese version of the Epworth sleepiness scale (JESS) based on item response theory. Sleep Med. 2009; https://doi.org/10.1016/j.sleep.2008.04.015.
Tsuno N, Besset A, Ritchie K. Sleep and depression. J Clin Psychiatry. 2005;66:1254–69.
Ware JE, Kosinski M, Dewey JE, Gandek B. How to score and interpret single-item health status measures: a manual for users of the SF-8 health survey. Lincoln, RI: QualityMetric Incorporated; 2001.