Evidence map›Paper›PMID 36941567›Full record

ArticleBMC pediatrics2023

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

Open access · goldFull text read
In one paragraph

Article in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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  4. Validity of the PROMISThe international journal of behavioral nutrition and physical activity · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Sarah B WelchBuehler 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 0000-0001-5609-3718
Kyle HoneggerAnn & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA.
Megan O'BrienDepartment of Physical Medicine & Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, USA.
Selin CapanBuehler Center for Health Policy and Economics, Feinberg School of Medicine, Northwestern University, Arthur J. Rubloff Building, 420 E. Superior St, IL, 60611, Chicago, USA.
Soyang KwonSmith Child Health Outcomes, Research, and Evaluation Center, Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, USA.
Northwestern University · USLurie Children's Hospital · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Physical Activity Measurement in ToddlersR01HL155113 · NHLBI · NORTHWESTERN UNIVERSITY · PI Soyang Kwon · 2022 to 2026
$2.0M
NCATS NIH HHS UL1 TR001422NHLBI NIH HHS R01 HL155113
6 · The paper itself

Abstract

backgroundPhysical 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.

methodsThe 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.

Indexed as

ExerciseMothersChild DevelopmentChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleMother-Child RelationsParentingAccelerometryChild developmentMachine learningParentingPhysical activity

Identifiers

PMID36941567
PMCPMC10026417
OpenAlexW4328049005

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read35
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.