Polysomnography (PSG) is still regarded as the gold standard in determining sleep patterns. However, PSG is complicated, burdensome and the hospital set‐up of PSG has the disadvantage of not being able to measure sleep over a long period 1, 2, 3, 4. An alternative way to measure sleep is with actigraphy. Actigraphs use the 24‐h movement of a person to assess the wake–sleep rhythm. Actigraphy is not a direct measurement of sleep, but is a convenient alternative method to determine someone's sleep patterns. There are professional‐level actigraphs that already have been validated in published studies 1, 3, 5, 6, 7.
The use of new consumer‐grade wearable actigraphy trackers to evaluate sleep patterns is increasing in clinical research 2, 4, 8, 9, 10, 11, 12, 13. These trackers are able to measure sleep patterns with the same precision as professional medical‐grade actigraphy wristbands 2, 4, 10, 11, 13. Actigraphy can be used to measure the pharmacological impact of drug trials on circadian rhythm and sleep patterns objectively. Actigraphy trackers are also used in paediatric research, because they can contribute in monitoring sleep patterns of children in clinical studies during real‐life conditions. Sleep patterns can be monitored in children with sleep disorders with low burden over multiple days with wearable trackers instead of one overnight screening with PSG. Paediatric studies generally assess standard variables such as age, sex and ethnicity that are influencing sleep behaviour, when sleep patterns are measured with trackers or PSG 2, 4. However, these studies do not mention something infants and young children regularly do: daytime napping.
It is common for children up to age 6 years to have naps during the day 14. Children, who take daytime naps, have a shorter sleep time during the night, but children taking daytime naps have in general the same sleep duration as children without daytime naps 14. Therefore, it is important to take these sleeping habits into account when investigating the total sleep duration of young children. A literature search revealed only one study 15 that investigated the effect of these naps on the total sleep time using professional‐grade actigraphy. Another study with PSG and a consumer‐available tracker reported daytime napping only in an additional paper diary 6. However, no mention was made of whether daytime napping was included in the measurements. If sleep patterns are used to investigate the pharmacological effect of a drug in paediatric clinical studies, then napping time should be accounted for in the study design. Reported demographics should furthermore include information on whether the child is prone to daytime sleep aside from the standard variables. Populations such as young children, but also older people and shift workers, are prone to daytime sleep and thus actigraphy trackers should be validated for the assessment of daytime naps. The study design of clinical research with trackers should define sleep thoroughly. The study design should also take into account whether the specific type of tracker used is even able to detect daytime sleep 16.
This letter to the Editor aims to increase awareness of readers to be critical of clinical studies that use trackers or PSG to determine the clinical or pharmacological outcome of sleep pattern measurements. Besides standard demographic variables, the definition of sleep and individual sleeping habits should be considered. Therefore, it should be mentioned in an article how sleep is defined and measured, and which activity trackers are used to measure sleep. Daytime sleep could prove an important factor besides night‐time sleep and other variables of sleep activity.
Competing Interests
There are no competing interests to declare.
Lambrechtse, P. , Ziesenitz, V. C. , Cohen, A. , van den Anker, J. N. , and Bos, E. J. (2018) How reliable are commercially available trackers in detecting daytime sleep. Br J Clin Pharmacol, 84: 605–606. doi: 10.1111/bcp.13475.
References
- 1. de Zambotti M, Baker FC, Colrain IM. Validation of sleep‐tracking technology compared with polysomnography in adolescents. Sleep 2015; 38: 1461–1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Meltzer LJ, Hiruma LS, Avis K, Montgomery‐Downs H, Valentin J. Comparison of a commercial accelerometer with polysomnography and Actigraphy in children and adolescents. Sleep 2015; 38: 1323–1330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Meltzer LJ, Walsh CM, Traylor J, Westin AM. Direct comparison of two new actigraphs and polysomnography in children and adolescents. Sleep 2012; 35: 159–166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Toon E, Davey MJ, Hollis SL, Nixon GM, Horne RS, Biggs SN. Comparison of commercial wrist‐based and smartphone accelerometers, actigraphy, and PSG in a clinical cohort of children and adolescents. J Clin Sleep Med 2016; 12: 343–350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Meltzer LJ, Wong P, Biggs SN, Traylor J, Kim JY, Bhattacharjee R, et al Validation of actigraphy in middle childhood. Sleep 2016; 39: 1219–1224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Chen X, Velez JC, Barbosa C, Pepper M, Gelaye B, Redline S, et al Evaluation of actigraphy‐measured sleep patterns among children with disabilities and associations with caregivers' educational attainment: results from a cross‐sectional study. BMJ Open 2015; 5: e008589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Biggs SN, Meltzer LJ, Tapia IE, Traylor J, Nixon GM, Horne RS, et al Sleep/wake patterns and parental perceptions of sleep in children born preterm. J Clin Sleep Med 2016; 12: 711–717. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. de Zambotti M, Claudatos S, Inkelis S, Colrain IM, Baker FC. Evaluation of a consumer fitness‐tracking device to assess sleep in adults. Chronobiol Int 2015; 32: 1024–1028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. de Zambotti M, Baker FC, Willoughby AR, Godino JG, Wing D, Patrick K, et al Measures of sleep and cardiac functioning during sleep using a multi‐sensory commercially‐available wristband in adolescents. Physiol Behav 2016; 158: 143–149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Bellone GJ, Plano SA, Cardinali DP, Chada DP, Vigo DE, Golombek DA. Comparative analysis of actigraphy performance in healthy young subjects. Sleep Sci 2016; 9: 272–279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Lee HA, Lee HJ, Moon JH, Lee T, Kim MG, In H, et al Comparison of wearable activity tracker with actigraphy for sleep evaluation and circadian rest‐activity rhythm measurement in healthy young adults. Psychiatry Investig 2017; 14: 179–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Brooke SM, An HS, Kang SK, Noble JM, Berg KE, Lee JM. Concurrent validity of wearable activity trackers under free‐living conditions. J Strength Cond Res 2017; 31: 1097–1106. [DOI] [PubMed] [Google Scholar]
- 13. Wright SP, Hall Brown TS, Collier SR, Sandberg K. How consumer physical activity monitors could transform human physiology research. Am J Physiol Regul Integr Comp Physiol 2017; 312: R358–R367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Mindell JA, Sadeh A, Kwon R, Goh DY. Cross‐cultural differences in the sleep of preschool children. Sleep Med 2013; 14: 1283–1289. [DOI] [PubMed] [Google Scholar]
- 15. Nakagawa M, Ohta H, Nagaoki Y, Shimabukuro R, Asaka Y, Takahashi N, et al Daytime nap controls toddlers' nighttime sleep. Sci Rep 2016; 6: 27246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Evenson KR, Goto MM, Furberg RD. Systematic review of the validity and reliability of consumer‐wearable activity trackers. Int J Behav Nutr Phys Act 2015; 12: 159. [DOI] [PMC free article] [PubMed] [Google Scholar]
