Sleep Posture Affects Sleep Parameters Differently in Young and Senior Japanese as Assessed by Actigraphy

Abstract

In an attempt to study the relationship between sleep postures and sleep parameters assessed by actigraphy, we applied the newly developed Activity Monitoring and Evaluation System (A-MES) and actigraphy at the same time to younger and senior Japanese volunteer groups. It was found that sleep postures and diurnal activity determines, to some extent, sleep parameters including activity mean score (AMS), activity index (ACTX), waking episodes (WEP) and sleep fragmentation index (SFX). It was also found that sleep properties are different in younger and senior Japanese. For example, increase in the proportion of time in the supine position resulted in enhancement and deterioration of the sleep in the younger and senior groups, respectively. Furthermore, there were correlations between supine posture and AMS, ACTX, SFX, total minutes scored as awake (TMSA) and WEP obtained by actigraphy in the younger group, but only AMS and ACTX in senior group. In addition, we also assessed sleep parameters by use of questionnaires, and found that objective sleep quality was rather poor but subjective sleep quality was better in the senior group. In the younger group, in contrast, objective sleep quality was better but subjective sleep quality was poor. On the other hand, there was no correlation between sleep parameters assessed by actigraphy and self-report at all. The present study with A-MES and actigraphy provides the first evidence that sleep posture affects sleep quality and is a convenient, inexpensive and home-based method for studying sleep.

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Nojiri, A. , Okumura, C. and Ito, Y. (2014) Sleep Posture Affects Sleep Parameters Differently in Young and Senior Japanese as Assessed by Actigraphy. Health, 6, 2934-2944. doi: 10.4236/health.2014.621332.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Ancoli-Israel, S., Cole, R., Alessi, C., Chambers, M., Moorcroft, W. and Pollak, C.P. (2003) The Role of Actigraphy in the Study of Sleep and Circadian Rhythms. Sleep, 26, 342-392.
[2] Mogenthaler, T., Alessi, C., Friedman, L., et al. (2007) Practice Parameters for the Use of Actigraphy in the Assessment of Sleep and Sleep Disorder: An Update for 2007. Sleep, 30, 519-529.
[3] De Koninck, J.M., Gagnon, P. and Lallier, S. (1983) Sleep Positions in the Young Adult and Their Relationship with the Subjective Quality of Sleep. Sleep, 6, 52-59.
[4] De Koninck, J.M., Lorrain, D. and Gagnon, P. (1992) Sleep Positions and Position Shifts in Five Age Groups: An Ontogenic Picture. Sleep, 15, 143-149.
[5] Sakata, S., Nagata, M. and Nojiri, S. (2002) Approach to the Measurement of ADL (Activities of Daily Living). Den-O-Ken Technical Report, 12, 19-25.
[6] Sakata, S., Nojiri, S. and Nagata, M. (2004) The Improvement on the A-MES (Activity Monitoring and Evaluation System) for Commercialization. Den-O-Ken Technical Report, 14, 10-14.
[7] Nojiri, A., Kimura, I., Okumura, C., Akaike, A. and Ito, Y. (2012) Postures and Position Shifts in Bed Assessed with Three-Dimensional Acceleration Sensors Worn by Four Japanese Age Groups. Polish Journal of Rehabilitation Research, 2, 40-48.
[8] Kitamura, N., Sato, T., Kawagoshi, A., et al. (2010) Evaluation of Physical Activity in the Daily Life of Healthy Subjects with Special Reference to the Reliability and Validity of IPAQ as Evaluated by a Triaxial Accelerometer. Rigakuryoho Kagaku, 25, 767-771.
http://dx.doi.org/10.1589/rika.25.767
[9] Buysse, D.J., Reynolds 3rd, C.F., Monk, T.H., Berman, S.R. and Kupfer, D.J. (1989) The Pittsburgh Sleep Quality Index: A New Instrument for Psychiatric Practice and Research. Psychiatry Research, 28, 193-213.
http://dx.doi.org/10.1016/0165-1781(89)90047-4
[10] Yamamoto, Y., Tanaka, H., Takase, M., Yamasaki, K., Azumi, K. and Shirakawa, S. (1999) Standardization of Reviced Version of OSA Sleep Inventory for Middle-Aged and Aged. Brain Science and Disorders, 10, 401-409.
[11] Kubota, T., Kunisawa, N., Murayama, N., et al. (2001) Characteristics of Sleeping Positions in Healthy Male Adults. Reports of the Institute of Biomaterials and Bio-engineering, 35, 35-41.
[12] Kubota, T., Ohshima, N., Kunisawa, N., Murayama, R., Okano, S. and Mori-Okamoto, J. (2003) Characteristic Features of the Nocturnal Sleeping Posture of Healthy Men. Sleep and Biological Rhythms, 1, 183-185.
http://dx.doi.org/10.1046/j.1446-9235.2003.00040.x
[13] Cole, R.J., Kripke, D.F., Gruen, W., Mullaney, D.J. and Gillin, J.C. (1992) Automatic Sleep/Wake Identification from Wrist Activity. Sleep, 15, 461-469.
[14] Sadeh, A., Sharkey, K.M. and Carskadon, M.A. (1994) Activity-Based Sleep-Wake Identification: An Empirical Test of Methodological Issues. Sleep, 17, 739-743.
[15] Blackwell, T., Redline, S., Ancoli-Israel, S., Schneider, J.L., Surovec, S., Johnson, N.L., et al. (2008) Comparison of Sleep Parameters from Actigraphy and Polysomnography in Older Women: The SOF Study. Sleep, 31, 283-291.
[16] Blackwell, T., Ancoli-Israel, S., Redline, S. and Stone, K.L. (2011) Factors That May Influence the Classification of Sleep-Wake by Wrist Actigraphy: The MrOS Sleep Study. Journal of Clinical Sleep Medicine, 7, 357-366.
[17] De Souza, L., Benedio-Silva, A.A., Pires, M.L.N., Poyares, D., Tufik, S. and Calil, H.M. (2003) Further Validation of Actigraphy for Sleep Studies. Sleep, 26, 81-85.
[18] Hedner, J., Pillar, G., Pittman, S.D., Zou, D., Grote, L. and White, D.P. (2004) A Novel Adaptive Wrist Actigraphy Algorithm for Sleep-Wake Assessment in Sleep Apnea Patients. Sleep, 27, 1560-1566.
[19] Hyde, M., O’Driscoll, D.M., Binette, S., Galang, C., Tan, S.K., Verginis, N., et al. (2007) Validation of Actigraphy for Determining Sleep and Wake in Children with Sleep Disordered Breathing. Journal of Sleep Research, 16, 213-216.
http://dx.doi.org/10.1111/j.1365-2869.2007.00588.x
[20] Johnson, N.L., Kirchner, H.L., Rosen, C.L., Storfer-Isser, A., Cartar, L.N., Ancoli-Israel, S., et al. (2007) Sleep Estimation Using Wrist Actigraphy in Adolescents with and without Sleep Disordered Breathing: A Comparison of Three Data Modes. Sleep, 30, 899-905.
[21] Jean-Louis, G., Kripke, D.F., Cole, R.J., Assmus, D.J. and Langer, R.D. (2001) Sleep Detection with an Accelerometer Actigraph: Comparison with Polysomnography. Physiology & Behavior, 72, 21-28.
http://dx.doi.org/10.1016/S0031-9384(00)00355-3
[22] Lichstein, K.L., Stone, K.C., Donaldson, J., Nau, S.D., Soeffing, J.P., Murray, D., et al. (2006) Actigraphy Validation with Insomnia. Sleep, 29, 232-239.
[23] Girschik, J., Fritschi, L., Heyworth, J. and Waters, F. (2012) Validation of Self-Reported Sleep against Actigraphy. Journal of Epidemiology, 22, 462-468.
http://dx.doi.org/10.2188/jea.JE20120012
[24] Leo, H.L., Bender, B.L., Leung, S.B., Tran, Z.V. and Leung, D.Y.M. (2004) Effect of Pimecrolimus Cream 1% on Skin Condition and Sleep Disturbance in Children with Atopic Dermatitis. Journal of Allergy and Clinical Immunology, 114, 691-693.
http://dx.doi.org/10.1016/j.jaci.2004.05.037
[25] Lewandowski, A., Rosipal, R. and Dorffner, G. (2012) Extracting More Information from EEG Recordings for a Better Description of Sleep. Computer Methods and Programs in Biomedicine, 108, 961-972.
http://dx.doi.org/10.1016/j.cmpb.2012.05.009
[26] Rosipal, R., Lewandowski, A. and Dorffner, G. (2013) In Search of Objective Components for Sleep Quality Indexing in Normal Sleep. Biological Psychology, 93, 210-220.
http://dx.doi.org/10.1016/j.biopsycho.2013.05.014
[27] Igasaki, T., Taniyama, Y., Matsuda, Y. and Murayama, N. (2013) Can “Quality of Sleep” Be Evaluated from Hypnogram?—Estimation of Factor Score of Oguri-Shirakawa-Azumi Sleep Inventory by Artificial Neural Network. Proceedings of the Information Systems International Conference (ISICO), Bali, 2-4 December 2013, 373-378.
[28] Noor, Z.M., Smith, A.J., Smith, S.S. and Nissen, L.M. (2013) Feasibility and Acceptability of Wrist Actigraph in Assessing Sleep Quality and Sleep Quantity: A Home-Based Pilot Study in Healthy Volunteers. Health, 5, 63-72.
http://dx.doi.org/10.4236/health.2013.58A2010

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