Evidence map›Paper›PMID 30729733›Full record

ArticlePediatric obesity2019

Predictors of objectively measured physical activity in 12-month-old infants: A study of linked birth cohort data with electronic health records.

Haider Raza, Shang-Ming Zhou, Charlotte Todd, Danielle Christian, Emily Marchant, Kelly Morgan, Ashrafunnesa Khanom, Rebecca Hill, Ronan A Lyons, Sinead Brophy

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric obesity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Daily Physical Activity Among Toddlers: Hip and Wrist Accelerometer Assessments.International journal of environmental research and public health · 2019
    Article
  7. Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities.International journal of environmental research and public health · 2019
    Article
  8. Article
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

10 authors at 5 institutions in 1 country.

Haider RazaThe School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK.
Shang-Ming ZhouHealth Data Research UK, Swansea University, Swansea, UK.ORCID 0000-0002-0719-9353
Charlotte ToddHealth Data Research UK, Swansea University, Swansea, UK.
Danielle ChristianDepartment of Sport and Physical Activity, Edge Hill University, Ormskirk, UK.
Emily MarchantHealth Data Research UK, Swansea University, Swansea, UK.
Kelly MorganDECIPHer, School of Social Sciences, Cardiff University, Cardiff, UK.
Ashrafunnesa KhanomHealth Data Research UK, Swansea University, Swansea, UK.
Rebecca HillAbertawe Bro Morgannwg University Health Board (ABM UHB), Port Talbot, UK.
Ronan A LyonsHealth Data Research UK, Swansea University, Swansea, UK.
Sinead BrophyHealth Data Research UK, Swansea University, Swansea, UK.
Swansea University · GBCardiff University · GBEdge Hill University · GBSwansea Bay University Health Board · GBUniversity of Essex · GB

Funding

British Heart FoundationCancer Research UKMedical Research Council MC_PC_13043Medical Research Council MR/K006525/1Medical Research Council MR/K023233/1Medical Research Council MR/KO232331/1Medical Research Council NIWA1
6 · The paper itself

Abstract

backgroundPhysical activity (PA) levels are associated with long-term health, and levels of PA when young are predictive of adult activity levels.

objectivesThis study examines factors associated with PA levels in 12-month infants.

methodOne hundred forty-one mother-infant pairs were recruited via a longitudinal birth cohort study (April 2010 to March 2013). The PA level was collected using accelerometers and linked to postnatal notes and electronic medical records via the Secure Anonymised Information Linkage databank. Univariable and multivariable linear regressions were used to examine the factors associated with PA levels.

resultsUsing univariable analysis, higher PA was associated with the following (P value less than 0.05): being male, larger infant size, healthy maternal blood pressure levels, full-term gestation period, higher consumption of vegetables (infant), lower consumption of juice (infant), low consumption of adult crisps (infant), longer breastfeeding duration, and more movement during sleep (infant) but fewer night wakings. Combined into a multivariable regression model (R

conclusionThe PA levels of infants were strongly associated with both gestational and postnatal environmental factors. Healthy behaviours appear to cluster, and a healthy diet was associated with a more active infant. Boys were substantially more active than girls, even at age 12 months. These findings can help inform interventions to promote healthier lives for infants and to understand the determinants of their PA levels.

Indexed as

Electronic Health RecordsExerciseAdultBody WeightCohort StudiesDietFemaleHealth BehaviorHumansInfantMalePregnancygestationinfantsphysical activitypostnatal development

Identifiers

PMID30729733
PMCPMC6563068
OpenAlexW2913975966

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.