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Cited by 35Context-Aware Activity Recognition SystemsPhysical Activity and HealthChildren's Physical and Motor Development

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Objective measurement of tummy time in infants (0-6 months): A validation study

Open access
Hewitt, Lyndel, Stanley, Rebecca M., Cliff, Dylan, Okely, Anthony D.·2019·PLOS ONE
DOI 10.1371/journal.pone.0210977PMC PMC6392225
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Abstract

The 2017 Australian and Canadian 24-hour movement guidelines recommend infants receive 30 minutes of tummy time daily. Currently, there are no validated objective measurement tools or devices to assess tummy time. The purpose of this study was to: 1) test the practicality of using devices on infants as an objective measure of tummy time, and 2) test the accuracy of developed algorithms and cut-points for predicting prone posture. Thirty-two healthy infants aged 4 to 25 weeks completed a protocol of 12 positions. Infants were placed in each position for 3 minutes while wearing a MonBaby (chest), GENEActiv (right hip) and two ActiGraphs (right hip and ankle). Direct observation was the criterion measure. The accuracy of the algorithms or cut-points to predict prone on floor, non-prone and prone supported positions were analyzed. Parents also completed a practicality questionnaire. Algorithms and cut-points to classify posture using devices from MonBaby, GENEActiv and ActiGraph (hip and ankle) were 79%, 95%, 90% and 88% accurate at defining tummy time and 100%, 98%, 100% and 96% accurate at defining non-prone positions, respectively. GENEActiv had the smallest mean difference and limits of agreement (-8.4s, limits of agreement [LoA]: -78.2 to 61.3s) for the prone on floor positions and ActiGraph Hip had the smallest mean difference and LoA for the non-prone positions (-0.2s, LoA: -1.2 to 0.9s). The majority of parents agreed all devices were practical and feasible to use with MonBaby being the preferred device. The evaluated algorithms and cut-points for GENEActiv and ActiGraph (hip) are of acceptable accuracy to objectively measure tummy time (time spent prone on floor). Accurate measurement of infant positioning practices will be important in the observation of 24-hour movement guidelines in the early years.

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  • Further potential is in the use of these devices to track physical rehabilitation therapies performed in the home or the clinic including strength training and postural stabilization.

    “Further potential is in the use of these devices to track physical rehabilitation therapies performed in the home or the clinic including strength training and postural stabilization (36, 37).”

    From Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants (2021) · cites this paper as [37]

    The Discussion reports that the devices could identify some infant positions, and the Practical implications section says two algorithms were accurate enough to measure infant tummy time. The paper does not assess tracking rehabilitation therapies at home or in a clinic, including strength training or postural stabilization; it supports only the narrower posture-monitoring premise. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

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Metadata

Authors
Hewitt, L., Stanley, R. M., Cliff, D., & Okely, A. D.
Affiliations
University of Wollongong (AU)
Corresponding author
Hewitt, Lyndel
ORCID
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2019-02-27
Volume
14
Issue
2
Pages
e0210977
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0210977
PMC
PMC6392225
OpenAlex
W2915639535
Cited by
35
References
32
Citations by year
2026: 4 · 2025: 2 · 2024: 7 · 2023: 6 · 2022: 9 · 2021: 5 · 2020: 2
FWCI
1.79
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Online (University of Wollongong) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • ICPSR Data Holdings
Funders
Australian Government
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Social Sciences › Psychology › Developmental and Educational Psychology › Children's Physical and Motor Development
Keywords
tummy time, infant positioning, prone position, wearable accelerometers, actigraphy, GENEActiv, ActiGraph, 24-hour movement guidelines, cut points, measurement accuracy, infants
MeSH terms
Algorithms, Child Development, Female, Humans, Infant, Infant, Newborn, Male, Prone Position

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