Comparison of 7 versus 14 days wrist actigraphy monitoring in a sleep disorders clinic population

Wrist actigraphy is a valid measure to assess sleep and circadian rhythm abnormalities. It is listed in the diagnostic criteria for sleep disorders where single night polysomnography is insufficient (ICSD-2). However, an optimal recording time remains unclear. We hypothesised that seven days would provide sufficient data for analysis, similar to recordings for 14 days. We analysed three consecutive years of actigraphy data obtained within a tertiary sleep referral centre. Data were recorded continuously for two weeks using an AW4 actiwatch (Cambridge NeuroTechnology, Cambridge, UK; Mini Mitter Co, Sunriver, OR). Parameters, including sleep efficiency (SE), sleep latency (SL), sleep fragmentation index (SFI), total sleep time (TST) and wake after sleep onset (WASO) were analysed using GraphPad Prism (Version 5.02, GraphPad Software Inc, San Diego, CA) and classified into week one, week two and an overall average for the duration of 14 days. In addition, two experienced consultants working in the sleep laboratory compared the results of week one versus week two independently, visually analysing the data for circadian rhythmicity and fragmentation of the pattern, allowing calculation of the intraclass correlation coefficient (ICC), κ. The actigraphies of 239 patients (51.9% male; age 42 (16) years) were analysed. There was no difference in SE, SL, SFI or WASO between week one, week two and 14 days average recording. A small difference was found between TST week one (399.9 minutes, 95% CI 389.9–409.9 minutes) and TST week two (388.7 minutes, 95% CI 378.3–399.1 minutes), but not between TST for 14 days average recording (394.3 minutes, 95% CI 384.7–403.9 minutes) and either week. Independent scorers achieved a good agreement in the rhythmicity of the sleep pattern (ICC κ 0.734, p < 0.001) and a low agreement for the fragmentation of the pattern (ICC κ 0.380, p < 0.001). One week of wrist actigraphy recording provides similar data to two week actigraphies, despite subtle differences between the weeks. One week wrist actigraphy could be recommended as standard compared to longer recordings to maximise efficiency of the clinical service. Further studies are required to validate our results in specific clinical subgroups.

[1]  Rory A. Fisher,et al.  Statistical methods and scientific inference. , 1957 .

[2]  Warren W Tryon,et al.  Issues of validity in actigraphic sleep assessment. , 2004, Sleep.

[3]  A. Chesson,et al.  Practice parameters for the use of actigraphy in the assessment of sleep and sleep disorders: an update for 2007. , 2007, Sleep.

[4]  Thomas Penzel,et al.  Peripheral arterial tonometry, oximetry and actigraphy for ambulatory recording of sleep apnea. , 2004, Physiological measurement.

[5]  W. Tryon Nocturnal activity and sleep assessment , 1996 .

[6]  C. Pollak,et al.  The role of actigraphy in the study of sleep and circadian rhythms. , 2003, Sleep.

[7]  R. A. Fisher,et al.  Statistical methods and scientific inference. , 1957 .

[8]  D. White,et al.  A novel adaptive wrist actigraphy algorithm for sleep-wake assessment in sleep apnea patients. , 2004, Sleep.

[9]  M. Smolensky,et al.  ETHICS AND METHODS FOR BIOLOGICAL RHYTHM RESEARCH ON ANIMALS AND HUMAN BEINGS , 2010, Chronobiology international.

[10]  Daniel J Buysse,et al.  Night-to-night sleep variability in older adults with and without chronic insomnia. , 2010, Sleep medicine.

[11]  E. V. van Someren,et al.  Improving actigraphic sleep estimates in insomnia and dementia: how many nights? , 2007, Journal of sleep research.

[12]  Luciane L. de Souza,et al.  Further validation of actigraphy for sleep studies. , 2003, Sleep.

[13]  A. Sadeh,et al.  Estimating sleep patterns with activity monitoring in children and adolescents: how many nights are necessary for reliable measures? , 1999, Sleep.

[14]  D. Greenblatt,et al.  The International Classification of Sleep Disorders , 1992 .

[15]  E. Mignot,et al.  The narcoleptic borderland: a multimodal diagnostic approach including cerebrospinal fluid levels of hypocretin-1 (orexin A). , 2003, Sleep medicine.

[16]  C. Guilleminault,et al.  Comparison of actigraphic, polysomnographic, and subjective assessment of sleep parameters in sleep-disordered patients. , 2001, Sleep medicine.

[17]  P Lavie,et al.  Actigraphic home-monitoring sleep-disturbed and control infants and young children: a new method for pediatric assessment of sleep-wake patterns. , 1991, Pediatrics.

[18]  C. Morin,et al.  Actigraphy in the assessment of insomnia. , 2003, Sleep.

[19]  R. Sack,et al.  A comparison of sleep detection by wrist actigraphy, behavioral response, and polysomnography. , 1997, Sleep.

[20]  David Murray,et al.  Actigraphy validation with insomnia. , 2006, Sleep.

[21]  E. Someren,et al.  Improving actigraphic sleep estimates in insomnia and dementia: How many nights? , 2007 .

[22]  M. Littner,et al.  Practice parameters for the indications for polysomnography and related procedures: an update for 2005. , 2005, Sleep.

[23]  G. Jean-Louis,et al.  Sleep estimation from wrist movement quantified by different actigraphic modalities , 2001, Journal of Neuroscience Methods.

[24]  Max Hirshkowitz,et al.  Practice parameters for the role of actigraphy in the study of sleep and circadian rhythms: an update for 2002. , 2003, Sleep.

[25]  Sonia Ancoli-Israel,et al.  Comparison of sleep parameters from actigraphy and polysomnography in older women: the SOF study. , 2008, Sleep.

[26]  Andrew Chesson,et al.  Practice parameters for the use of actigraphy in the clinical assessment of sleep disorders. American Sleep Disorders Association. , 1995, Sleep.