A new approach for assessing sleep duration and postures from ambulatory accelerometry

Cornelia Wrzus, Andreas M Brandmaier, Timo von Oertzen, Viktor Müller, Gert G Wagner, Michaela Riediger, Cornelia Wrzus, Andreas M Brandmaier, Timo von Oertzen, Viktor Müller, Gert G Wagner, Michaela Riediger

Abstract

Interest in the effects of sleeping behavior on health and performance is continuously increasing-both in research and with the general public. Ecologically valid investigations of this research topic necessitate the measurement of sleep within people's natural living contexts. We present evidence that a new approach for ambulatory accelerometry data offers a convenient, reliable, and valid measurement of both people's sleeping duration and quality in their natural environment. Ninety-two participants (14-83 years) wore acceleration sensors on the sternum and right thigh while spending the night in their natural environment and following their normal routine. Physical activity, body posture, and change in body posture during the night were classified using a newly developed classification algorithm based on angular changes of body axes. The duration of supine posture and objective indicators of sleep quality showed convergent validity with self-reports of sleep duration and quality as well as external validity regarding expected age differences. The algorithms for classifying sleep postures and posture changes very reliably distinguished postures with 99.7% accuracy. We conclude that the new algorithm based on body posture classification using ambulatory accelerometry data offers a feasible and ecologically valid approach to monitor sleeping behavior in sizable and heterogeneous samples at home.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Labeling of body axes and…
Figure 1. Labeling of body axes and placement of acceleration sensors.
Figure 2. Age differences in sleep duration.
Figure 2. Age differences in sleep duration.
Lines represent age differences in self-reported usual sleep duration in the representative SOEP survey for 2008, in self-reported sleep duration during the study night, and in sleep duration based on activity measures during the study night.

References

    1. Cappuccio FP, D’Elia L, Strazzullo P, Miller MA (2010) Sleep duration and all-cause mortality: A systematic review and meta-analysis of prospective studies. Sleep 33: 585–592.
    1. Gallicchio L, Kalesan B (2009) Sleep duration and mortality: A systematic review and meta-analysis. Journal of Sleep Research 18: 148–158.
    1. Grandner MA, Hale L, Moore M, Patel NP (2010) Mortality associated with short sleep duration: The evidence, the possible mechanisms, and the future. Sleep Medicine Reviews 14: 191–203.
    1. Ancoli-Israel S, Cole R, Alessi C, Chambers M, Moorcroft W, et al. (2003) The role of actigraphy in the study of sleep and circadian rhythms. Sleep 26: 342–392.
    1. Pollak CP, Tryon WW, Nagaraja H, Dzwonczyk R (2001) How accurately does wrist actigraphy identify the states of sleep and wakefulness? Sleep 24: 957–965.
    1. Sadeh A (2011) The role and validity of actigraphy in sleep medicine: An update. Sleep Medicine Reviews 15: 259–267.
    1. Groeger JA, Zijlstra FRH, Dijk DJ (2004) Sleep quantity, sleep difficulties and their perceived consequences in a representative sample of some 2000 British adults. Journal of Sleep Research 13: 359–371.
    1. Roberts RE, Shema SJ, Kaplan GA, Strawbridge WJ (2000) Sleep complaints and depression in an aging cohort: A prospective perspective. American Journal of Psychiatry 157: 81–88.
    1. Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV (2004) Meta-analysis of quantitative sleep parameters from childhood to old age in healthy individuals: Developing normative sleep values across the human lifespan. Sleep 27: 1255–1273.
    1. Littner M, Kushida CA, Anderson WM, Bailey D, Berry RB, et al. (2003) Practice parameters for the role of actigraphy in the study of sleep and circadian rhythms: An update for 2002. Sleep 26: 337–341.
    1. Jean-Louis G, Von Gizycki H, Zizi F, Hauri P, Spielman A, et al. (1997) The actigraph data analysis software: II. A novel approach to scoring and interpreting sleep–wake activity. Perceptual and Motor Skills 85: 219–226.
    1. Jean-Louis G, Von Gizycki H, Zizi F, Hauri P, Spielman A, et al. (1997) The actigraph data analysis software: I. A novel approach to scoring and interpreting sleep–wake activity. Perceptual and Motor Skills 85: 219–226.
    1. Krueger PM, Friedman EM (2009) Sleep duration in the United States: A cross-sectional population-based study. American Journal of Epidemiology 169: 1052–1063.
    1. Giganti F, Ficca G, Gori S, Salzarulo P (2008) Body movements during night sleep and their relationship with sleep stages are further modified in very old subjects. Brain Research Bulletin 75: 66–69.
    1. De Koninck J, Lorrain D, Gagnon P (1992) Sleep positions and position shifts in five age groups: An ontogenetic picture. Sleep 15: 143–149.
    1. Lorrain D, De Koninck J, Dionne H, Goupil G (1986) Sleep positions and postural shifts in elderly persons. Perceptual and Motor Skills 63: 352–354.
    1. Gori S, Ficca G, Giganti F, Di Nasso I, Murri L, et al. (2004) Body movements during night sleep in healthy elderly subjects and their relationships with sleep stages. Brain Research Bulletin 63: 393–397.
    1. Kline CE, Zielinski MR, Devlin TM, Kripke DF, Bogan RK, et al. (2010) Self-reported long sleep in older adults is closely related to objective time in bed. Sleep and Biological Rhythms 8: 42–51.
    1. Vitiello MV (2009) Recent advances in understanding sleep and sleep disturbances in older adults: Growing older does not mean sleeping poorly. Current Directions in Psychological Science 18: 316–320.
    1. Mehra R, Stone KL, Blackwell T, Ancoli Israel S, Dam TTL, et al. (2007) Prevalence and correlates of sleep-disordered breathing in older men: Osteoporotic fractures in Men Sleep Study. Journal of the American Geriatrics Society 55: 1356–1364.
    1. Mathie MJ, Celler BG, Lovell NH, Coster ACF (2004) Classification of basic daily movements using a triaxial accelerometer. Medical & Biological Engineering & Computing 42: 679–687.
    1. Quinlan JR (1986) Induction of decision trees. Machine Learning 1: 81–106.
    1. Mathie MJ, Coster ACF, Lovell NH, Celler BG (2004) Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiological Measurement 25: 1–20.
    1. Wagner GG, Frick JR, Schupp J (2007) The German Socio-Economic Panel Study (SOEP)–Scope, evolution and enhancements. Schmollers Jahrbuch: Journal of Applied Social Science 127: 139–169.
    1. Gordon SJ, Grimmer KA, Trott P (2004) Self reported versus recorded sleep position: An observational study. The Internet Journal of Allied Health Sciences and Practice 2: 1–10.
    1. Lorrain D, De Koninck J (1998) Sleep position and sleep stages: Evidence of their independence. Sleep 21: 335–340.
    1. Taylor MF (1993) The British Household Panel Study. ESRC Data Archive Bulletin 53: 7–10.
    1. Furnham A, Henderson M (1982) The good, the bad and the mad: Response bias in self-report measures. Personality and Individual Differences 3: 311–320.
    1. Beaudreau SA, Spira AP, Stewart A, Kezirian EJ, Lui L-Y, et al. (2012) Validation of the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale in older black and white women. Sleep Medicine 13: 36–42.
    1. Spira AP, Beaudreau SA, Stone KL, Kezirian EJ, Lui LY, et al. (2012) Reliability and validity of the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale in older men. Journals of Gerontology Series A: Biological Sciences & Medical Sciences 67A: 433–439.
    1. De Koninck J, Gagnon P, Lallier S (1983) Sleep positions in the young adult and their relationship with the subjective quality of sleep. Sleep 6: 52–59.
    1. Sahlin C, Franklin KA, Stenlund H, Lindberg E (2009) Sleep in women: Normal values for sleep stages and position and the effect of age, obesity, sleep apnea, smoking, alcohol and hypertension. Sleep Medicine 10: 1025–1030.
    1. Lauderdale DS, Knutson KL, Yan LL, Liu K, Rathouz PJ (2008) Self-reported and measured sleep duration: How similar are they? Epidemiology 19 838–845: 810.1097/EDE.1090b1013e318187a318187b318180.
    1. Feinberg I, Keresko RL, Heller N (1967) EEG sleep patterns as a function of normal and pathological aging in man. Journal of Psychiatric Research 5: 107–144.
    1. Kahn E, Fisher C (1970) Some correlates of rapid eye movement sleep in the normal aged male. Journal of Nervous and Mental Disease 148: 495–505.
    1. Richard W, Kox D, Den Herder C, Laman M, Van Tinteren H, et al. (2006) The role of sleep position in obstructive sleep apnea syndrome. European Archives of Oto-Rhino-Laryngology 263: 946–950.
    1. Walsh JH, Leigh MS, Paduch A, Maddison KJ, Armstrong JJ, et al. (2008) Effect of body posture on pharyngeal shape and size in adults with and without obstructive sleep apnea. Sleep 31: 1543–1549.
    1. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Research 28: 193–213.

Source: PubMed

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