Actigraphy as a modern method for diagnosing sleep disorders and various pathologies

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Medicine of the 21st century has an extensive arsenal of means for diagnosing diseases. High-tech equipment can detect pathologies without clinical manifestations during the latent stage of disease development. Actigraphy is a portable device based on an accelerometer, used for tracking sleep parameters, and also, well established as a tool for monitoring the circadian rhythms of a person. Actigraphy is not an alternative to the use of polysomnography, however, it has advantages in ease of use, cost, and size of the device, in addition to allowing long-term continuous recording of night and daytime sleep over several days or weeks in the patient's home sleep environment. In addition to its primary function — the study of sleep characteristics — actigraphy is widely used as a method for detecting and monitoring diseases, including cognitive impairment, psychiatric disorders, cardiovascular pathologies, and respiratory diseases.

In this review, we have compiled current information on actigraphy as a tool for disease diagnosis. The described results allow us to summarize the useful characteristics of such a diagnostic tool and shed light on applying this progressive and reliable method in medicine.

Full Text

Restricted Access

About the authors

Arina I. Mishina

Centre for Strategic Planning and Management of Biomedical Health Risks

Author for correspondence.
Email: amishina@cspfmba.ru
ORCID iD: 0000-0003-1134-9366
SPIN-code: 2157-1051

Cand. Sci. (Biology)

Russian Federation, Moscow

Sirozhdin Yu. Bakoev

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: sbakoev@cspfmba.ru
ORCID iD: 0000-0002-0324-3580
SPIN-code: 4908-9038

Cand. Sci. (Biology)

Russian Federation, Moscow

Anna V. Korobeynikova

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: akorobeinikova@cspfmba.ru
ORCID iD: 0009-0003-0556-9343
Russian Federation, Moscow

Anastasia V. Tsypkina

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: atsypkina@cspfmba.ru
ORCID iD: 0000-0001-6117-0984
SPIN-code: 8311-3717

Cand. Sci. (Biology)

Russian Federation, Moscow

Shuanat Sh. Kabieva

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: shkabieva@cspfmba.ru
ORCID iD: 0009-0004-9610-0889
SPIN-code: 2220-1789
Russian Federation, Moscow

Svetlana V. Romanova

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: sromanova@cspfmba.ru
ORCID iD: 0009-0005-3367-8883
Russian Federation, Moscow

Georgy A. Trusov

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: gtrusov@cspfmba.ru
ORCID iD: 0000-0002-8922-6342
SPIN-code: 5372-7607
Russian Federation, Moscow

Anton A. Keskinov

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: keskinov@cspfmba.ru
ORCID iD: 0000-0001-7378-983X
SPIN-code: 7178-5020

MD, Cand. Sci. (Medicine), Cand. Sci. (Economics)

Russian Federation, Moscow

Vladimir S. Yudin

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: vyudin@cspfmba.ru
ORCID iD: 0000-0002-9199-6258
SPIN-code: 7592-9020

Cand. Sci. (Biology)

Russian Federation, Moscow

Lyubov V. Getmantseva

Centre for Strategic Planning and Management of Biomedical Health Risks

Email: lgetmantseva@cspfmba.ru
ORCID iD: 0000-0003-1868-3148
SPIN-code: 7571-1264

Dr. Sci. (Biology)

Russian Federation, Moscow

References

  1. Vallières A, Morin CM. Actigraphy in the assessment of insomnia. Sleep. 2003;26(7):902–906. doi: 10.1093/sleep/26.7.902
  2. Meltzer LJ, Hiruma LS, Avis K, et al. Comparison of a commercial accelerometer with polysomnography and actigraphy in children and adolescents. Sleep. 2015;38(8):1323–1330. doi: 10.5665/sleep.4918
  3. Ancoli-Israel S, Martin JL, Blackwell T, et al. The SBSM guide to actigraphy monitoring: clinical and research applications. Behav Sleep Med. 2015;13 Suppl. 1:S4–S38. doi: 10.1080/15402002.2015.1046356
  4. Conley S, Knies A, Batten J, et al. Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis. Sleep Med Rev. 2019;46:151–160. doi: 10.1016/j.smrv.2019.05.001
  5. Derbin M, McKenna L, Chin D, et al. Actigraphy: Metrics reveal it is not a valid tool for determining sleep in neonates. J Sleep Res. 2022;31(1):e13444. doi: 10.1111/jsr.13444
  6. Chiu CJ, Hou SY, Wang CL, et al. The middle-aged and older Chinese adults' health using actigraphy in Taiwan (MOCHA-T): protocol for a multidimensional dataset of health and lifestyle. BMC Public Health. 2024;24(1):87. doi: 10.1186/s12889-023-17552-0
  7. Kelly MR, Zeidler MR, DeCruz S, et al. Actigraphy prior to Multiple Sleep Latency Test: nighttime total sleep time predicts sleep-onset latency. J Clin Sleep Med. 2022;18(1):161–170. doi: 10.5664/jcsm.9528
  8. Acker J, Golubnitschaja O, Büttner-Teleaga A, Richter K. Wrist actigraphic approach in primary, secondary and tertiary care based on the principles of predictive, preventive and personalised (3P) medicine. EPMA J. 2021;12(3):349–363. doi: 10.1007/s13167-021-00250-5
  9. Dubois B, Villain N, Frisoni GB, et al. Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group. Lancet Neurol. 2021;20(6):484–496. doi: 10.1016/S1474-4422(21)00066-1
  10. Winer JR. The role of actigraphy in detecting and characterizing the early phases of Alzheimer's disease. Sleep. 2024;47(5):zsae076. doi: 10.1093/sleep/zsae076
  11. Schwab KE, To AQ, Chang J, et al. Actigraphy to measure physical activity in the intensive care unit: a systematic review. J Intensive Care Med. 2020;35(11):1323–1331. doi: 10.1177/0885066619863654
  12. Knuff A, Leung RH, Seitz DP, et al. Use of actigraphy to measure symptoms of agitation in dementia. Am J Geriatr Psychiatry. 2019;27(8):865–869. doi: 10.1016/j.jagp.2019.02.013
  13. André C, Tomadesso C, de Flores R, et al. Brain and cognitive correlates of sleep fragmentation in elderly subjects with and without cognitive deficits. Alzheimers Dement (Amst). 2019;11:142–150. doi: 10.1016/j.dadm.2018.12.009
  14. Balouch S, Dijk DAD, Rusted J, et al. Night-to-night variation in sleep associates with day-to-day variation in vigilance, cognition, memory, and behavioral problems in Alzheimer's disease. Alzheimers Dement (Amst). 2022;14(1):e12303. doi: 10.1002/dad2.12303
  15. Jouvencel A, Baillet M, Meyer M, et al. Night-to-night variability in sleep and amyloid beta burden in normal aging. Alzheimers Dement (Amst). 2023;15(3):e12460. doi: 10.1002/dad2.12460
  16. La Morgia C, Mitolo M, Romagnoli M, et al. Multimodal investigation of melanopsin retinal ganglion cells in Alzheimer's disease. Ann Clin Transl Neurol. 2023;10(6):918–932. doi: 10.1002/acn3.51773
  17. Lysen TS, Luik AI, Ikram MK, et al. Actigraphy-estimated sleep and 24-hour activity rhythms and the risk of dementia. Alzheimers Dement. 2020;16(9):1259–1267. doi: 10.1002/alz.12122
  18. Jouvencel A, Dilharreguy B, Meyeret M, Lamare F. Relations entre qualité de sommeil et charge amyloïde cérébrale chez le sujet âgé. Médecine du Sommeil. 2021;18(4):195. doi: 10.1016/j.msom.2021.10.025
  19. Figueiro MG, Pedler D, Plitnick B, et al. Tailored lighting intervention (TLI) for improving sleep-wake cycles in older adults living with dementia. Front Physiol. 2023;14:1290678. doi: 10.3389/fphys.2023.1290678
  20. Agudelo C, Tarraf W, Wu B, et al. Actigraphic sleep patterns and cognitive decline in the Hispanic Community Health Study/Study of Latinos. Alzheimers Dement. 2021;17(6):959–968. doi: 10.1002/alz.12250
  21. Cho E, Kim S, Hwang S, et al. Factors associated with behavioral and psychological symptoms of dementia: prospective observational study using actigraphy. J Med Internet Res. 2021;23(10):e29001. doi: 10.2196/29001
  22. Wang J, Battioui C, McCarthy A, et al. Evaluating the use of digital biomarkers to test treatment effects on cognition and movement in patients with Lewy body dementia. J Parkinsons Dis. 2022;12(6):1991–2004. doi: 10.3233/JPD-213126
  23. Wei J, Boger J. Sleep detection for younger adults, healthy older adults, and older adults living with dementia using wrist temperature and actigraphy: prototype testing and case study analysis. JMIR Mhealth Uhealth. 2021;9(6):e26462. doi: 10.2196/26462
  24. Pastre M, Lopez-Castroman J. Actigraphy monitoring in anxiety disorders: A mini-review of the literature. Front Psychiatry. 2022;13:984878. doi: 10.3389/fpsyt.2022.984878
  25. Peis I, López-Moríñigo JD, Pérez-Rodríguez MM, et al. Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge. Sci Rep. 2020;10(1):17286. doi: 10.1038/s41598-020-74425-x
  26. Luik AI, Zuurbier LA, Direk N, et al. 24-hour activity rhythm and sleep disturbances in depression and anxiety: a population-based study of middle-aged and older persons. Depress Anxiety. 2015;32(9):684–692. doi: 10.1002/da.22355
  27. Full KM, Huang T, Shah NA, et al. Sleep irregularity and subclinical markers of cardiovascular disease: the multi-ethnic study of atherosclerosis. J Am Heart Assoc. 2023;12(4):e027361. doi: 10.1161/JAHA.122.027361
  28. Mortazavi BJ, Martinez-Brockman JL, Tessier-Sherman B, et al. Classification of blood pressure during sleep impacts designation of nocturnal nondipping. PLOS Digit Health. 2023;2(6):e0000267. doi: 10.1371/journal.pdig.0000267
  29. Pittman DD, Hines PC, Beidler D, et al. Evaluation of Longitudinal Pain Study in Sickle Cell Disease (ELIPSIS) by patient-reported outcomes, actigraphy, and biomarkers. Blood. 2021;137(15):2010–2020. doi: 10.1182/blood.2020006020
  30. Laratta CR, Ayas NT, Povitz M, Pendharkar SR. Diagnosis and treatment of obstructive sleep apnea in adults. CMAJ. 2017;189(48):E1481–E1488. doi: 10.1503/cmaj.170296
  31. Goyal M, Johnson J. Obstructive sleep apnea diagnosis and management. Mo Med. 2017;114(2):120–124.
  32. Teplitzky TB, Zauher AJ, Isaiah A. Alternatives to polysomnography for the diagnosis of pediatric obstructive sleep apnea. Diagnostics (Basel). 2023;13(11):1956. doi: 10.3390/diagnostics13111956
  33. Syed N, Road JD, Ryerson CJ, Guenette JA. Evaluation of the vibe actigraph in patients with chronic obstructive pulmonary disease: a pilot study. IEEE J Transl Eng Health Med. 2020;8:2700708. doi: 10.1109/JTEHM.2020.3018399

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

Copyright (c) 2025 Eco-Vector

License URL: https://eco-vector.com/for_authors.php#07
СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия  ПИ № ФС 77 - 86296 от 11.12.2023 г. 
СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ЭЛ № ФС 77 - 80632 от 15.03.2021 г.