Elkhenany, H., AlOkda, A., El-Badawy, A., & El-Badri, N. (2018). Tissue regeneration: Impact of sleep on stem cell regenerative capacity. Life Sciences, 214, 51–61. https://doi.org/10.1016/j.lfs.2018.10.057 .
Article
CAS
PubMed
Google Scholar
Schwarz, P., Graham, W., Li, F., Locke, M., & Peever, J. (2013). Sleep deprivation impairs functional muscle recovery following injury. Sleep Medicine, 14, e262. https://doi.org/10.1016/j.sleep.2013.11.638 .
Article
Google Scholar
Chen, Y., Cui, Y., Chen, S., & Wu, Z. (2017). Relationship between sleep and muscle strength among Chinese university students: A cross-sectional study. Journal of Musculoskeletal & Neuronal Interactions, 17(4), 327–333.
CAS
Google Scholar
Dattilo, M., Antunes, H. K. M., Medeiros, A., et al. (2011). Sleep and muscle recovery: Endocrinological and molecular basis for a new and promising hypothesis. Medical Hypotheses, 77(2), 220–222. https://doi.org/10.1016/j.mehy.2011.04.017 .
Article
CAS
PubMed
Google Scholar
de Sousa Nogueira Freitas, L., da Silva, F. R., Andrade, H. d. A., et al. (2020). Sleep debt induces skeletal muscle injuries in athletes: A promising hypothesis. Medical Hypotheses, 142, 109836. https://doi.org/10.1016/j.mehy.2020.109836 .
Article
CAS
PubMed
Google Scholar
Kim, T. W., Jeong, J., & Hong, S. (2015). The impact of sleep and circadian disturbance on hormones and metabolism. International Journal of Endocrinology, 2015, 1–9. https://doi.org/10.1155/2015/591729 .
Article
Google Scholar
Klinzing, J. G., Niethard, N., & Born, J. (2019). Mechanisms of systems memory consolidation during sleep. Nature Neuroscience, 22(10), 1598–1610. https://doi.org/10.1038/s41593-019-0467-3 .
Article
CAS
PubMed
Google Scholar
Spencer RMC, Walker MP, Stickgold R. (2017). Sleep and Memory Consolidation. In: Chokroverty S. (eds) Sleep Disorders Medicine. New York: Springer. https://doi.org/10.1007/978-1-4939-6578-6/.
Hla, K. M., Young, T., Hagen, E. W., Stein, J. H., Finn, L. A., Nieto, F. J., & Peppard, P. E. (2015). Coronary heart disease incidence in sleep disordered breathing: The Wisconsin sleep cohort study. Sleep., 38(5), 677–684. https://doi.org/10.5665/sleep.4654 .
Article
PubMed
PubMed Central
Google Scholar
Strand, L. B., Tsai, M. K., Gunnell, D., Janszky, I., Wen, C. P., & Chang, S. (2016). Self-reported sleep duration and coronary heart disease mortality: A large cohort study of 400,000 Taiwanese adults. International Journal of Cardiology, 207, 246–251. https://doi.org/10.1016/j.ijcard.2016.01.044 .
Article
PubMed
Google Scholar
Irwin, M. R., Olmstead, R., & Carroll, J. E. (2016). Sleep disturbance, sleep duration, and inflammation: A systematic review and meta-analysis of cohort studies and experimental sleep deprivation. Biological Psychiatry, 80(1), 40–52. https://doi.org/10.1016/j.biopsych.2015.05.014 .
Article
PubMed
Google Scholar
Wu, Y., Zhai, L., & Zhang, D. (2014). Sleep duration and obesity among adults: A meta-analysis of prospective studies. Sleep Medicine, 15(12), 1456–1462. https://doi.org/10.1016/j.sleep.2014.07.018 .
Article
PubMed
Google Scholar
Shan, Z., Ma, H., Xie, M., Yan, P., Guo, Y., Bao, W., … Liu, L. (2015). Sleep duration and risk of type 2 diabetes: A meta-analysis of prospective studies. Diabetes Care, 38(3), 529–537. https://doi.org/10.2337/dc14-2073 .
Article
PubMed
Google Scholar
Alhola, P., & Polo-Kantola, P. (2007). Sleep deprivation: Impact on cognitive performance. Neuropsychiatric Disease and Treatment, 3(5), 553–567.
PubMed
PubMed Central
Google Scholar
Killgore, W. D. S. (2010). Effects of sleep deprivation on cognition. Progress in Brain Research, 185, 105–129. https://doi.org/10.1016/B978-0-444-53702-7.00007-5 .
Article
PubMed
Google Scholar
Leger, D., Bayon, V., Ohayon, M. M., et al. (2014). Insomnia and accidents: Cross-sectional study (EQUINOX) on sleep-related home, work and car accidents in 5293 subjects with insomnia from 10 countries. Journal of Sleep Research, 23(2), 143–152. https://doi.org/10.1111/jsr.12104 .
Article
PubMed
Google Scholar
Bioulac S, Micoulaud-Franchi JA, Arnaud M, et al. (2017). Risk of motor vehicle accidents related to sleepiness at the wheel: a systematic review and meta-analysis. Sleep, 40,(10). https://doi.org/10.1093/sleep/zsx134.
Cai, H., Shu, X., Xiang, Y., et al. (2015). Sleep duration and mortality: A prospective study of 113,138 middle-aged and elderly Chinese men and women. Sleep., 38(4), 529–536. https://doi.org/10.5665/sleep.4564 .
Article
PubMed
PubMed Central
Google Scholar
Liu, T., Xu, C., Rota, M., et al. (2017). Sleep duration and risk of all-cause mortality: A flexible, non-linear, meta-regression of 40 prospective cohort studies. Sleep Medicine Reviews, 32, 28–36. https://doi.org/10.1016/j.smrv.2016.02.005 .
Article
PubMed
Google Scholar
Liu Y, Wheaton AG, Chapman DP, Cunningham TJ, Lu H, Croft JB. (2016). Prevalence of healthy sleep duration among adults—United States, 2014. Morbidity and Mortality Weekly Report, 65(6), 137–141. https://doi.org/10.15585/mmwr.mm6506a1.
Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., DonCarlos, L., … Ware, J. C. (2015). National Sleep Foundation’s updated sleep duration recommendations: Final report. Sleep Health, 1(4), 233–243. https://doi.org/10.1016/j.sleh.2015.10.004 .
Article
PubMed
Google Scholar
Ford, E. S., Cunningham, T. J., & Croft, J. B. (2015). Trends in self-reported sleep duration among US adults from 1985 to 2012. Sleep., 38(5), 829–832. https://doi.org/10.5665/sleep.4684 .
Article
PubMed
PubMed Central
Google Scholar
Ohayon, M. M., & Smirne, S. (2002). Prevalence and consequences of insomnia disorders in the general population of Italy. Sleep Medicine, 3(2), 115–120. https://doi.org/10.1016/S1389-9457(01)00158-7 .
Article
PubMed
Google Scholar
Wong Wing, S., & Fielding, R. (2011). Prevalence of insomnia among Chinese adults in Hong Kong: a population-based study. Journal of Sleep Research, 20(1pt1), 117–126. https://doi.org/10.1111/j.1365-2869.2010.00822.x .
Article
CAS
PubMed
Google Scholar
Ohayon, M. M., & Paiva, T. (2005). Global sleep dissatisfaction for the assessment of insomnia severity in the general population of Portugal. Sleep Medicine, 6(5), 435–441. https://doi.org/10.1016/j.sleep.2005.03.006 .
Article
PubMed
Google Scholar
Chesson Jr., A. L., Ferber, R. A., Fry, J. M., et al. (1997). The indications for polysomnography and related procedures. Sleep., 20(6), 423–487.
Article
PubMed
Google Scholar
Michaelson, P. G., Allan, P., Chaney, J., & Mair, E. A. (2006). Validations of a portable home sleep study with twelve-lead polysomnography: Comparisons and insights into a variable gold standard. The Annals of Otology, Rhinology, and Laryngology, 115(11), 802–809. https://doi.org/10.1177/000348940611501102 .
Article
PubMed
Google Scholar
Jovanov, E. (2015). Preliminary analysis of the use of smartwatches for longitudinal health monitoring. IEEE.
Buysse, D. J., Reynolds, I. I. I., Charles, F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213. https://doi.org/10.1016/0165-1781(89)90047-4 .
Article
CAS
PubMed
Google Scholar
Johns, M. W. (1991). A new method for measuring daytime sleepiness: The Epworth sleepiness scale. Sleep., 14(6), 540–545. https://doi.org/10.1093/sleep/14.6.540 .
Article
CAS
PubMed
Google Scholar
Buysse, D. J., Yu, L., Moul, D. E., Germain, A., Stover, A., Dodds, N. E., … Pilkonis, P. A. (2010). Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments. Sleep., 33(6), 781–792. https://doi.org/10.1093/sleep/33.6.781 .
Article
PubMed
PubMed Central
Google Scholar
Spritzer KL, Hays RD. (2003). MOS sleep scale: a manual for use and scoring, version 1.0. Los Angeles, 1–8.
Hays, R. D., & Stewart, A. L. (1992). Sleep measures. In A. L. Stewart, & J. E. Ware Jr. (Eds.), Measuring functioning and well-being: The medical outcomes study approach, (pp. 235–259). Duke University Press.
Allen, R. P., Kosinski, M., Hill-Zabala, C. E., & Calloway, M. O. (2009). Psychometric evaluation and tests of validity of the medical outcomes study 12-item sleep scale (MOS sleep). Sleep Medicine, 10(5), 531–539. https://doi.org/10.1016/j.sleep.2008.06.003 .
Rejas, J., Ribera, M. V., Ruiz, M., & Masrramón, X. (2007). Psychometric properties of the MOS (medical outcomes study) sleep scale in patients with neuropathic pain. European Journal of Pain, 11(3), 329–340. https://doi.org/10.1016/j.ejpain.2006.05.002 .
Article
PubMed
Google Scholar
Hays, R. D., Martin, S. A., Sesti, A. M., & Spritzer, K. L. (2005). Psychometric properties of the medical outcomes study sleep measure. Sleep Medicine, 6(1), 41–44. https://doi.org/10.1016/j.sleep.2004.07.006 .
Article
PubMed
Google Scholar
U.S. Department of Health and Human Services, Food and Drug Administration. Guidance for Industry: Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. http://www.fda.gov/downloads/Drugs/Guidances/UCM193282.pdf. Updated December 2009. Accessed 16 June 2020.
Martin, S., Chandran, A., Zografos, L., & Zlateva, G. (2009). Evaluation of the impact of fibromyalgia on patients’ sleep and the content validity of two sleep scales. Health and Quality of Life Outcomes, 7(1), 64. https://doi.org/10.1186/1477-7525-7-64 .
Article
PubMed
PubMed Central
Google Scholar
Keller, S. D., Bayliss, M. S., Ware Jr., J. E., Hsu, M., Damiano, A. M., & Goss, T. F. (1997). Comparison of responses to SF-36 Health Survey questions with one-week and four-week recall periods. Health Services Research, 32(3), 367.
CAS
PubMed
PubMed Central
Google Scholar
Keller, S. D., Ware Jr., J. E., Gandek, B., et al. (1998). Testing the equivalence of translations of widely used response choice labels: results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51(11), 933–944. https://doi.org/10.1016/S0895-4356(98)00084-5 .
Article
CAS
PubMed
Google Scholar
Reeve, B. B., & Mâsse, L. C. (2004). Item response theory modeling for questionnaire evaluation. In S. Presser, J. M. Rothgeb, M. P. Couper, et al. (Eds.), Methods for testing and evaluating survey questionnaires, (pp. 247–273). Wiley.
Maruish, M. E. (Ed.) (2012). User’s guide for the MOS sleep scale–revised, (3rd ed., ). QualityMetric Inc.
http://www.knowledgenetworks.com/knpanel: GfK Custom Research North America; 2013. http://www.knowledgenetworks.com/knpanel/. Accessed 20 July 2018.
Chang, L., & Krosnick, J. A. (2009). National surveys via RDD telephone interviewing versus the internet: Comparing sample representativeness and response quality. Public Opinion Quarterly, 73(4), 641–678. https://doi.org/10.1093/poq/nfp075 .
Maruish, M. E. (Ed.) (2011). User’s manual for the SF-36v2® health survey, (3rd ed., ). QualityMetric Inc.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. In McGraw-Hill series in psychology, (3rd ed., ). McGraw-Hill.
McGraw, K. O., & Wong, S. P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30–46. https://doi.org/10.1037/1082-989X.1.1.30 .
Qin, S., Nelson, L., McLeod, L., Eremenco, S., & Coons, S. J. (2019). Assessing test-retest reliability of patient-reported outcome measures using intraclass correlation coefficients: Recommendations for selecting and documenting the analytical formula. Quality of Life Research, 28(4), 1029–1033. https://doi.org/10.1007/s11136-018-2076-0 .
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012 .
Cappelleri, J. C., Zou, K. H., Bushmakin, A. G., Alvir, J. M., Alemayehu, D., & Symonds, T. (2013). Patient-reported outcomes: Measurement, implementation and interpretation. Chapman & Hall/CRC Press. https://doi.org/10.1201/b16139 .
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. The Psychological Bulletin, 56(2), 81–105. https://doi.org/10.1037/h0046016 .
McHorney, C. A., Ware, J. E., & Raczek, A. E. (1993). The MOS 36-item short-form health survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31(3), 247–263. https://doi.org/10.1097/00005650-199303000-00006 .
Fisher, R. A. (1915). Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika., 10(4), 507–521.
Google Scholar
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates 2nd.
Freeman, D., Sheaves, B., Goodwin, G. M., Yu, L. M., Nickless, A., Harrison, P. J., … Espie, C. A. (2017). The effects of improving sleep on mental health (OASIS): A randomised controlled trial with mediation analysis. Lancet Psychiatry, 4(10), 749–758. https://doi.org/10.1016/S2215-0366(17)30328-0 .
Chen, X., Gelaye, B., & Williams, M. A. (2014). Sleep characteristics and health-related quality of life among a national sample of American young adults: Assessment of possible health disparities. Quality of Life Research, 23(2), 613–625. https://doi.org/10.1007/s11136-013-0475-9 .
Article
PubMed
Google Scholar
O'Donoghue, G. M., Fox, N., Heneghan, C., & Hurley, D. A. (2009). Objective and subjective assessment of sleep in chronic low back pain patients compared with healthy age and gender matched controls: A pilot study. BMC Musculoskeletal Disorders, 10(1), 122. https://doi.org/10.1186/1471-2474-10-122 .
Article
PubMed
PubMed Central
Google Scholar
Sivertsen, B., Lallukka, T., Petrie, K. J., Steingrímsdóttir, Ó. A., Stubhaug, A., & Nielsen, C. S. (2015). Sleep and pain sensitivity in adults. Pain., 156(8), 1433–1439. https://doi.org/10.1097/j.pain.0000000000000131 .
Article
PubMed
Google Scholar
Wolfe, F., Michaud, K., & Li, T. (2006). Sleep disturbance in patients with rheumatoid arthritis: Evaluation by medical outcomes study and visual analog sleep scales. The Journal of Rheumatology., 33(10), 1942–1951.
PubMed
Google Scholar
Pickering, M., Chapurlat, R., Kocher, L., & Peter-Derex, L. (2016). Sleep disturbances and osteoarthritis. Pain Practice, 16(2), 237–244. https://doi.org/10.1111/papr.12271 .
Article
PubMed
Google Scholar
Swanson, L. M., Arnedt, J. T., Rosekind, M. R., Belenky, G., Balkin, T. J., & Drake, C. (2011). Sleep disorders and work performance: Findings from the 2008 National Sleep Foundation sleep in America poll. Journal of Sleep Research, 20(3), 487–494. https://doi.org/10.1111/j.1365-2869.2010.00890.x .
Article
PubMed
Google Scholar
Chan, M., Chung, K., Yung, K., & Yeung, W. (2017). Sleep in schizophrenia: A systematic review and meta-analysis of polysomnographic findings in case-control studies. Sleep Medicine Reviews, 32, 69–84. https://doi.org/10.1016/j.smrv.2016.03.001 .
Article
PubMed
Google Scholar
Dickinson, D. L., Wolkow, A. P., Rajaratnam, S. M. W., & Drummond, S. P. A. (2018). Personal sleep debt and daytime sleepiness mediate the relationship between sleep and mental health outcomes in young adults. Depression and Anxiety, 35(8), 775–783. https://doi.org/10.1002/da.22769.
Wolkow, A. P., Dickinson, D. L., Rajaratnam, S. M., & Drummond, S. P. (2018). 0963 sleep debt and daytime sleepiness mediate the relationship between sleep and mental health outcomes in young adults: A cross-sectional study. Sleep, 41(suppl_1), A357–A358.
Article
Google Scholar
Uy, V., Hays, R. D., Xu, J. J., Fayers, P. M., Auerbach, A. D., Black, J. T., … Ong, M. K. (2020). Do the unlabeled response categories of the Minnesota living with heart failure questionnaire satisfy the monotonicity assumption of simple-summated scoring? Quality of Life Research, 29(5), 1349–1360. https://doi.org/10.1007/s11136-020-02422-8 .
Article
PubMed
PubMed Central
Google Scholar
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … PROMIS Cooperative Group (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. Journal of Clinical Epidemiology, 63(11), 1179–1194. https://doi.org/10.1016/j.jclinepi.2010.04.011 .
Article
PubMed
PubMed Central
Google Scholar
Snyder, C. F., Smith, K. C., Bantug, E. T., Tolbert, E. E., Blackford, A. L., & Brundage, M. D. (2017). What do these scores mean? Presenting patient-reported outcomes data to patients and clinicians to improve interpretability. Cancer., 123(10), 1848–1859. https://doi.org/10.1002/cncr.30530 .
Article
PubMed
Google Scholar
Mishra, J. M. (2009). A case for naps in the workplace. Seidman Business Review, 15(1), 9.
Google Scholar
Soldatos, C. R., Allaert, F. A., Ohta, T., & Dikeos, D. G. (2005). How do individuals sleep around the world? Results from a single-day survey in ten countries. Sleep Medicine, 6(1), 5–13. https://doi.org/10.1016/j.sleep.2004.10.006 .
Article
PubMed
Google Scholar
Gradisar, M., Gardner, G., & Dohnt, H. (2011). Recent worldwide sleep patterns and problems during adolescence: A review and meta-analysis of age, region, and sleep. Sleep Medicine, 12(2), 110–118. https://doi.org/10.1016/j.sleep.2010.11.008 .
Article
PubMed
Google Scholar
Lee, M. K., Yost, K. J., McDonald, J. S., Dougherty, R. W., Vine, R. L., & Kallmes, D. F. (2017). Item response theory analysis to evaluate reliability and minimal clinically important change of the Roland-Morris disability questionnaire in patients with severe disability due to back pain from vertebral compression fractures. The Spine Journal, 17(6), 821–829. https://doi.org/10.1016/j.spinee.2017.01.002 .
Article
PubMed
Google Scholar