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Use of actigraphy for assessment in pediatric sleep research
Open accessAbstract
The use of actigraphs, or ambulatory devices that estimate sleep-wake patterns from activity levels, has become common in pediatric research. Actigraphy provides a more objective measure than parent-report, and has gained popularity due to its ability to measure sleep-wake patterns for extended periods of time in the child’s natural environment. The purpose of this review is: (1) to provide comprehensive information on the historic and current uses of actigraphy in pediatric sleep research; (2) to review how actigraphy has been validated among pediatric populations; and (3) offer recommendations for methodological areas that should be included in all studies that utilize actigraphy, including the definition and scoring of variables commonly reported. The poor specificity to detect wake after sleep onset was consistently noted across devices and age groups, thus raising concerns about what is an “acceptable” level of specificity for actigraphy. Other notable findings from this review include the lack of standard scoring rules or variable definitions. Suggestions for the use and reporting of actigraphy in pediatric research are provided.
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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Ohayon, M. M., Carskadon, M. A., Guilleminault, C., & Vitiello, M. V. (2004) · Sleep · doi:10.1093/sleep/27.7.1255 · Cited by 3,349
The role and validity of actigraphy in sleep medicine: an update
Sadeh, A. (2011) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2010.10.001 · Cited by 1,415
Adolescent Sleep Patterns, Circadian Timing, and Sleepiness at a Transition to Early School Days
Carskadon, M. A., Wolfson, A. R., Acebo, C., Tzischinsky, O., & Seifer, R. (1998) · Sleep · doi:10.1093/sleep/21.8.871 · Cited by 769
Instability of Sleep Patterns in Children With Attention-Deficit/Hyperactivity Disorder
GRUBER, R., SADEH, A., & RAVIV, A. (2000) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200004000-00019 · Cited by 381
Effect of Melatonin on Sleep, Behavior, and Cognition in ADHD and Chronic Sleep-Onset Insomnia
VAN der HEIJDEN, K. B., SMITS, M. G., VAN SOMEREN, E. J. W., RIDDERINKHOF, K. R., & GUNNING, W. B. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000246055.76167.0d · Cited by 378
Children's Sleep and Cognitive Functioning: Race and Socioeconomic Status as Moderators of Effects
Buckhalt, J. A., El-Sheikh, M., & Keller, P. (2007) · Child Development · doi:10.1111/j.1467-8624.2007.00993.x · Cited by 294
Working memory and sleep in 6- to 13-year-old schoolchildren
STEENARI, M.-R., VUONTELA, V., PAAVONEN, E. J., CARLSON, S., FJÄLLBERG, M., & ARONEN, E. T. (2003) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200301000-00014 · Cited by 274
Van der Heijden, K. B., Smits, M. G., Someren, E. J. W. V., & Boudewijn Gunning, W. (2005) · Chronobiology International · doi:10.1081/cbi-200062410 · Cited by 269
Larkin, E. K., Rosen, C. L., Kirchner, H. L., Storfer-Isser, A., Emancipator, J. L., Johnson, N. L., Zambito, A. M. V., Tracy, R. P., Jenny, N. S., & Redline, S. (2005) · Circulation · doi:10.1161/01.cir.0000161819.76138.5e · Cited by 246
Cited by
Systematic review of the validity and reliability of consumer-wearable activity trackers
Evenson, K. R., Goto, M. M., & Furberg, R. D. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0314-1 · Cited by 1,232
Chaput, J.-P., Gray, C. E., Poitras, V. J., Carson, V., Gruber, R., Olds, T., Weiss, S. K., Connor Gorber, S., Kho, M. E., Sampson, M., et al. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0627 · Cited by 898
Associations of sleep disturbance with ADHD: implications for treatment
Hvolby, A. (2015) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-014-0151-0 · Cited by 339
Quante, M., Kaplan, E. R., Cailler, M., Rueschman, M., Wang, R., Weng, J., Taveras, E. M., & Redline, S. (2018) · Nature and Science of Sleep · doi:10.2147/nss.s151085 · Cited by 298
Tudor-Locke, C., Barreira, T. V., Schuna, J. M., Mire, E. F., & Katzmarzyk, P. T. (2014) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2013-0173 · Cited by 285
Barnett, T. A., Kelly, A. S., Young, D. R., Perry, C. K., Pratt, C. A., Edwards, N. M., Rao, G., Vos, M. B., & On behalf of the American Heart Association Obesity Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Cardiovascular Disease in the Young; and Stroke Council (2018) · Circulation · doi:10.1161/cir.0000000000000591 · Cited by 249
Lack of sleep as a contributor to obesity in adolescents: impacts on eating and activity behaviors
Chaput, J.-P., & Dutil, C. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0428-0 · Cited by 243
Systematic Review and Meta-analysis of Adolescent Cognitive–Behavioral Sleep Interventions
Blake, M. J., Sheeber, L. B., Youssef, G. J., Raniti, M. B., & Allen, N. B. (2017) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-017-0234-5 · Cited by 242
“While wrist actigraphy shows high sensitivity (to detect sleep), it demonstrates lower specificity (to detect wakefulness in bed; Meltzer et al. 2012).”
BackgroundWhat keeps low-SES children from sleeping well: the role of presleep worries and sleep environment
Bagley, E. J., Kelly, R. J., Buckhalt, J. A., & El-Sheikh, M. (2015) · Sleep Medicine · doi:10.1016/j.sleep.2014.10.008 · Cited by 237
Elrod, M. G., & Hood, B. S. (2015) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000140 · Cited by 191
Identifying Children’s Nocturnal Sleep Using 24-h Waist Accelerometry
BARREIRA, T. V., SCHUNA, J. M., MIRE, E. F., KATZMARZYK, P. T., CHAPUT, J.-P., LEDUC, G., & TUDOR-LOCKE, C. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000486 · Cited by 163
Godino, J. G., Wing, D., de Zambotti, M., Baker, F. C., Bagot, K., Inkelis, S., Pautz, C., Higgins, M., Nichols, J., Brumback, T., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237719 · Cited by 107
“Validation studies of actigraphy in children have generally reported a similar pattern of high sensitivity and relatively lower specificity (for a review, see [8]).”
BackgroundSleep Tracking, Wearable Technology, and Opportunities for Research and Clinical Care
Shelgikar, A. V., Anderson, P. F., & Stephens, M. R. (2016) · Chest · doi:10.1016/j.chest.2016.04.016 · Cited by 104
de Bruin, E. J., Bögels, S. M., Oort, F. J., & Meijer, A. M. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12834 · Cited by 95
de Bruin, E. J., Oort, F. J., Bögels, S. M., & Meijer, A. M. (2014) · Behavioral Sleep Medicine · doi:10.1080/15402002.2013.784703 · Cited by 95
Palermo, T. M., Beals-Erickson, S., Bromberg, M., Law, E., & Chen, M. (2017) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.6490 · Cited by 92
A randomized controlled trial of an intervention for infants’ behavioral sleep problems
Hall, W. A., Hutton, E., Brant, R. F., Collet, J. P., Gregg, K., Saunders, R., Ipsiroglu, O., Gafni, A., Triolet, K., Tse, L., et al. (2015) · BMC Pediatrics · doi:10.1186/s12887-015-0492-7 · Cited by 84
van den Heuvel, M. I., Hect, J. L., Smarr, B. L., Qawasmeh, T., Kriegsfeld, L. J., Barcelona, J., Hijazi, K. E., & Thomason, M. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-81681-y · Cited by 76
Hamilton, J. L., Tsypes, A., Zelazny, J., Sewall, C. J. R., Rode, N., Merranko, J., Brent, D. A., Goldstein, T. R., & Franzen, P. L. (2023) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13651 · Cited by 71
Das‐Friebel, A., Lenneis, A., Realo, A., Sanborn, A., Tang, N. K. Y., Wolke, D., von Mühlenen, A., & Lemola, S. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13326 · Cited by 71
Philbrook, L. E., Hinnant, J. B., Elmore-Staton, L., Buckhalt, J. A., & El-Sheikh, M. (2017) · Developmental Psychology · doi:10.1037/dev0000319 · Cited by 52
Galland, B., Meredith-Jones, K., Gray, A., Sayers, R., Lawrence, J., Taylor, B., & Taylor, R. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2015.10.013 · Cited by 47
Hoyniak, C. P., Bates, J. E., McQuillan, M. E., Staples, A. D., Petersen, I. T., Rudasill, K. M., & Molfese, V. J. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13225 · Cited by 47
Pediatric Videosomnography: Can Signal/Video Processing Distinguish Sleep and Wake States?
Schwichtenberg, A. J., Choe, J., Kellerman, A., Abel, E. A., & Delp, E. J. (2018) · Frontiers in Pediatrics · doi:10.3389/fped.2018.00158 · Cited by 35
Objective measurement of tummy time in infants (0-6 months): A validation study
Hewitt, L., Stanley, R. M., Cliff, D., & Okely, A. D. (2019) · PLOS ONE · doi:10.1371/journal.pone.0210977 · Cited by 35
Meredith-Jones, K. A., Haszard, J. J., Graham-DeMello, A., Campbell, A., Stewart, T., Galland, B. C., Cox, A., Kennedy, G., Duncan, S., & Taylor, R. W. (2024) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-024-01590-x · Cited by 32
Toddler Screen Use Before Bed and Its Effect on Sleep and Attention: A Randomized Clinical Trial
Pickard, H., Chu, P., Essex, C., Goddard, E. J., Baulcombe, K., Carter, B., Bedford, R., & Smith, T. J. (2024) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2024.3997 · Cited by 28
The physical home environment and sleep: What matters most for sleep in early childhood
Hoyniak, C. P., Bates, J. E., Camacho, M. C., McQuillan, M. E., Whalen, D. J., Staples, A. D., Rudasill, K. M., & Deater-Deckard, K. (2022) · Journal of Family Psychology · doi:10.1037/fam0000977 · Cited by 27
Leader, G., Glynn, C., Kirkpatrick, B., Chen, J. L., O’Súilleabháin, P. S., & Mannion, A. (2022) · Irish Journal of Psychological Medicine · doi:10.1017/ipm.2021.24 · Cited by 21
So, C. J., Gallagher, M. W., Palmer, C. A., & Alfano, C. A. (2021) · Children s Health Care · doi:10.1080/02739615.2021.1890078 · Cited by 14
Metadata
- Authors
- Meltzer, L. J., Montgomery-Downs, H. E., Insana, S. P., & Walsh, C. M.
- Venue
- Sleep Medicine Reviews
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 16
- Issue
- 5
- Pages
- 463-475
- ISSN
- 1087-0792 (ISSN-L)
- OpenAlex
- W2041722543
- Cited by
- 628
- References
- 21
- FWCI
- 30.19
- Type
- journal article
- Language
- en
- Open access
- green
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