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BMC pediatrics
03 20, 2023;23 (1): 129.

Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads.

Sarah B Welch, Kyle Honegger, Megan O'Brien, Selin Capan, Soyang Kwon
Author Information
  1. Sarah B Welch: Buehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Arthur J. Rubloff Building, 420 E. Superior St, IL, 60611, Chicago, USA. sarah.welch@northwestern.edu. ORCID
  2. Kyle Honegger: Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA.
  3. Megan O'Brien: Department of Physical Medicine & Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, USA.
  4. Selin Capan: Buehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Arthur J. Rubloff Building, 420 E. Superior St, IL, 60611, Chicago, USA.
  5. Soyang Kwon: Smith Child Health Outcomes, Research, and Evaluation Center, Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA.
PMID: 36941567 DOI: 10.1186/s12887-023-03910-9

Abstract

BACKGROUND: Physical activity (PA) development in toddlers (age 1 and 2 years) is not well understood, partly because of a lack of analytic tools for accelerometer-based data processing that can accurately evaluate PA among toddlers. This has led to a knowledge gap regarding how parenting practices around PA, mothers' PA level, mothers' parenting stress, and child developmental and behavioral problems influence PA development in early childhood.
METHODS: The Child and Mother Physical Activity Study is a longitudinal study to observe PA development in toddlerhood and examine the influence of personal and parental characteristics on PA development. The study is designed to refine and validate an accelerometer-based machine learning algorithm for toddler activity recognition (Aim 1), apply the algorithm to compare the trajectories of toddler PA levels in males and females age 1-3 years (Aim 2), and explore the association between gross motor development and PA development in toddlerhood, as well as how parenting practices around PA, mothers' PA, mothers' parenting stress, and child developmental and behavioral problems are associated with toddlerhood PA development (Exploratory Aims 3a-c).
DISCUSSION: This study will be one of the first to use longitudinal data to validate a machine learning activity recognition algorithm and apply the algorithm to quantify free-living ambulatory movement in toddlers. The study findings will help fill a significant methodological gap in toddler PA measurement and expand the body of knowledge on the factors influencing early childhood PA development.

Keywords

Accelerometry Child development Machine learning Parenting Physical activity

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Grants

  1. R01 HL155113/NHLBI NIH HHS
  2. UL1 TR001422/NCATS NIH HHS

MeSH Term

Male
Female
Humans
Child, Preschool
Infant
Mothers
Longitudinal Studies
Exercise
Parenting
Child Development
Mother-Child Relations
Journal Article Research Support, N.I.H., Extramural

Word Cloud

Created with Highcharts 10.0.0PAdevelopmentactivitystudyparentingmothers'algorithmPhysicaltoddlersearlylongitudinaltoddlerhoodlearningtoddlerage1wellaccelerometer-baseddataknowledgegappracticesaroundstresschilddevelopmentalbehavioralproblemsinfluencechildhoodChildvalidatemachinerecognitionAimapplywillBACKGROUND:2 yearsunderstoodpartlylackanalytictoolsprocessingcanaccuratelyevaluateamongledregardinglevelMETHODS:MotherActivityStudyobserveexaminepersonalparentalcharacteristicsdesignedrefinecomparetrajectorieslevelsmalesfemales1-3 years2exploreassociationgrossmotorassociatedExploratoryAims3a-cDISCUSSION:onefirstusequantifyfree-livingambulatorymovementfindingshelpfillsignificantmethodologicalmeasurementexpandbodyfactorsinfluencingExaminationphysicalchildhood:protocolcohortmother-toddlerdyadsAccelerometryMachineParenting

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