Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments
Abstract
:1. Introduction
2. Methods
2.1. Participants
2.2. Data Collection
2.3. Accelerometer Data Processing
2.4. Statistical Analysis
3. Results
4. Discussion
Author Contributions
Funding
Conflicts of Interest
References
- Physical Activity Guidelies for Americans Committee. 2018 Physical Activity Guidelines Advisory Committee Scientific Report; Department of Health and Human Services: Washington, DC, USA, 2018.
- National Physical Activity Plan Alliance. The 2018 United States Report Card on Physical. Activity for Children and Youth; SHAPE America: Washington, DC, USA, 2018. [Google Scholar]
- Kwon, S.; Janz, K.; Letuchy, E.; Trudy, B.; Steven, L. Developmental trajectories of physical activity, sports, and television viewing during childhood to young adulthood. Pediatrics 2015, 169, 666–672. [Google Scholar] [CrossRef] [PubMed]
- Carson, V.; Lee, E.Y.; Hesketh, K.D. Physical activity and sedentary behavior across three time-points and associations with social skills in early childhood. BMC Public Health 2019, 19. [Google Scholar] [CrossRef] [PubMed]
- Meredith-Jones, K.; Haszard, J.; Moir, C. Physical activity and inactivity trajectories associated with body composition in pre-schoolers. Int. J. Obes. 2018, 42, 1621–1630. [Google Scholar] [CrossRef] [PubMed]
- Costa, S.; Barber, S.E.; Cameron, N.; Clemes, S.A. The objective measurement of physical activity and sedentary behaviour in 2–3 year olds and their parents: A cross-sectional feasibility study in the bi-ethnic Born in Bradford cohort. BMC Public Health 2015, 15. [Google Scholar] [CrossRef]
- Hnatiuk, J.; Ridgers, N.D.; Salmon, J.; Campbell, K.; McCallum, Z.; Hesketh, K. Physical activity levels and patterns of 19-month-old children. Med. Sci. Sports Exerc. 2012, 44, 1715–1720. [Google Scholar] [CrossRef]
- Borkhoff, C.M.; Heale, L.D.; Anderson, L.N. Objectively measured physical activity of young Canadian children using accelerometry. Appl. Physiol. Nutr. Metab. 2015, 40, 1302–1308. [Google Scholar] [CrossRef]
- Lee, E.Y.; Hesketh, K.D.; Rhodes, R.E.; Rinaldi, C.M.; Spence, J.C.; Carson, V. Role of parental and environmental characteristics in toddlers’ physical activity and screen time: Bayesian analysis of structural equation models. Int. J. Behav. Nutr. Phys. Act. 2018, 15. [Google Scholar] [CrossRef]
- Hager, E.R.; Gormley, C.E.; Latta, L.W.; Treuth, M.S.; Caulfield, L.E.; Black, M.M. Toddler physical activity study: Laboratory and community studies to evaluate accelerometer validity and correlates. BMC Public Health. 2016, 16. [Google Scholar] [CrossRef]
- Kuzik, N.; Clark, D.; Ogden, N.; Harber, V.; Carson, V. Physical activity and sedentary behaviour of toddlers and preschoolers in child care centres in Alberta, Canada. Can. J. Public Health 2015, 106, 178–183. [Google Scholar] [CrossRef]
- Raza, H.; Zhou, S.M.; Todd, C. Predictors of objectively measured physical activity in 12-month-old infants: A study of linked birth cohort data with electronic health records. Pediatr. Obes. 2019, 14. [Google Scholar] [CrossRef]
- Armstrong, B.; Covington, L.B.; Hager, E.R.; Black, M.M. Objective sleep and physical activity using 24-h ankle-worn accelerometry among toddlers from low-income families. Sleep Health 2019, 5, 459–465. [Google Scholar] [CrossRef] [PubMed]
- Wijtzes, A.I.; Kooijman, M.N.; Kiefte-de Jong, J.C. Correlates of physical activity in 2-year-old toddlers: The generation R study. J. Pediatr. 2013, 163, 791–799. [Google Scholar] [CrossRef] [PubMed]
- Johansson, E.; Hagströmer, M.; Svensson, V. Objectively measured physical activity in two-year-old children-levels, patterns and correlates. Int. J. Behav. Nutr. Phys. Act. 2015, 12. [Google Scholar] [CrossRef] [PubMed]
- Lee, E.Y.; Hesketh, K.D.; Hunter, S. Meeting new Canadian 24-Hour Movement Guidelines for the Early Years and associations with adiposity among toddlers living in Edmonton, Canada. BMC Public Health 2017, 17. [Google Scholar] [CrossRef]
- Hnatiuk, J.; Salmon, J.; Campbell, K.J.; Ridgers, N.D.; Hesketh, K.D. Early childhood predictors of toddlers’ physical activity: Longitudinal findings from the Melbourne InFANT Program. Int. J. Behav. Nutr. Phys. Act. 2013, 10. [Google Scholar] [CrossRef]
- Hunter, S.; Rosu, A.; Hesketh, K.D. Objectively Measured Environmental Correlates of Toddlers’ Physical Activity and Sedentary Behavior. Pediatr. Exerc. Sci. 2019, 27. [Google Scholar] [CrossRef]
- Cain, K.L.; Sallis, J.F.; Conway, T.L.; Van Dyck, D.L. Using accelerometers in youth physical activity studies: A review of methods. J. Phys. Act. Health 2013, 10, 437–450. [Google Scholar] [CrossRef]
- Van Cauwenberghe, E.; Gubbels, J.; De Bourdeaudhuij, I.; Cardon, G. Feasibility and validity of accelerometer measurements to assess physical activity in toddlers. Int. J. Behav. Nutr. Phys. Act. 2011, 8. [Google Scholar] [CrossRef]
- Fairclough, S.J.; Noonan, R.; Rowlands, A.V.; Van Hees, V.; Knowles, Z.; Boddy, L.M. Wear Compliance and Activity in Children Wearing Wrist- and Hip-Mounted Accelerometers. Med. Sci. Sports Exerc. 2016, 48, 245–253. [Google Scholar] [CrossRef]
- Trost, S.G.; Zheng, Y.; Wong, W.K. Machine learning for activity recognition: Hip versus wrist data. Physiol. Meas. 2014, 35, 2183–2189. [Google Scholar] [CrossRef]
- Ellis, K.; Kerr, J.; Godbole, S.; Staudenmayer, J.; Lanckriet, G. Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification. Med. Sci. Sports Exerc. 2016, 48, 933–940. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bisson, M.; Tremblay, F.; Pronovost, E.; Julien, A.S.; Marc, I. Accelerometry to measure physical activity in toddlers: Determination of wear time requirements for a reliable estimate of physical activity. J. Sports Sci. 2019, 37, 298–305. [Google Scholar] [CrossRef] [PubMed]
- Trost, S.G.; Fees, B.S.; Haar, S.J.; Murray, A.D.; Crowe, L.K. Identification and validity of accelerometer cut-points for toddlers. Obesity 2012, 20, 2317–2319. [Google Scholar] [CrossRef] [PubMed]
- Kwon, S.; Zavos, P.; Nickele, K.; Sugianto, A.; Albert, M.A. Hip and wrist-worn accelerometer data analysis for toddler activities. Int. J. Environ. Res. Public Health 2019, 16, 2598. [Google Scholar] [CrossRef]
- Hinkley, T.; O’Connell, E.; Okely, A.D.; Crawford, D.; Hesketh, K.; Salmon, J. Assessing volume of accelerometry data for reliability in preschool children. Med. Sci. Sports Exerc. 2012, 44, 2436–2441. [Google Scholar] [CrossRef]
Item | Hip | Wrist | ||||
---|---|---|---|---|---|---|
Total | 1 Year Old | 2 Years Old | Total | 1 Year Old | 2 Years Old | |
Participants, n | 22 | 11 | 11 | 22 | 11 | 11 |
Toddler refusals to wear monitors, n | 1 | 0 | 1 | 6 | 4 | 2 |
≥3 days of wear, n | 19 | 10 | 9 | 14 | 6 | 8 |
Daily wear minutes, median (min, max) | 499 | 491 | 545 | 479 | 440 | 525 |
(403, 595) | (403, 594) | (416, 595) | (345, 634) | (345, 487) | (417, 634) |
Item | Hip | Wrist | ||||
---|---|---|---|---|---|---|
Total | 1 Year Old | 2 Years Old | Total | 1 Year Old | 2 Years Old | |
Vertical counts, x 103 counts/day | 254 | 257 | 252 | 1069 | 938 | 1163 |
(226, 283) | (213, 300) | (200, 304) | (875, 1264) | (467, 1409) | (954, 1372) | |
Vector magnitude, x 103 counts/day | 590 | 599 | 581 | 1814 | 1559 | 1996 |
(535, 645) | (512, 685) | (486, 675) | (1492, 2135) | (835, 2282) | (1638, 2354) | |
LPA, mins/day | 161 (147, 176) | 156 (133, 178) | 168 (144, 192) | NA | NA | NA |
MVPA, mins/day | 47 (39, 56) | 50 (38, 62) | 44 (29, 60) | NA | NA | NA |
Study | Sample | MVPA Definition | MVPA, Mins/Day |
---|---|---|---|
InFANT study [7] | 295 children aged 18–19 months | >1672 Hip-worn ActiGraph counts/min | 48 |
TARGet Kids! Study [8] | 28 children aged < 18 months | ≥2860 hip-worn Actical counts/min | 4 |
TARGet Kids! Study [8] | 45 children aged 18–59 months old | ≥2860 hip-worn Actical counts/min | 29 |
Hager et al. [10] | 191 children aged 12–36 months | ≥2201 ankle-worn Actical counts/min | 54 |
Alberta childcare study [11] | 114 children aged 19–60 months | ≥287.5 hip-worn Actical counts/15 s | 4 |
Generation R study [14] | 347 children aged 2 years | ≥615 hip-worn ActiGraph accelerometer counts/15 s | 25 |
Early STOPP study [15] | 123 children aged 2 years | >440 wrist-worn ActiGraph accelerometer counts/5 s * | 84 |
PREPS study [18] | 149 children aged 19 months on average (12–23 months) | >420 Hip-worn ActiGraph counts/15 s | 58 |
The current study | 19 children aged 13–35 months | ≥420 Hip-worn ActiGraph counts/15 s | 47 |
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Kwon, S.; Honegger, K.; Mason, M. Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments. Int. J. Environ. Res. Public Health 2019, 16, 4244. https://doi.org/10.3390/ijerph16214244
Kwon S, Honegger K, Mason M. Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments. International Journal of Environmental Research and Public Health. 2019; 16(21):4244. https://doi.org/10.3390/ijerph16214244
Chicago/Turabian StyleKwon, Soyang, Kyle Honegger, and Maryann Mason. 2019. "Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments" International Journal of Environmental Research and Public Health 16, no. 21: 4244. https://doi.org/10.3390/ijerph16214244
APA StyleKwon, S., Honegger, K., & Mason, M. (2019). Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments. International Journal of Environmental Research and Public Health, 16(21), 4244. https://doi.org/10.3390/ijerph16214244