Evidence map›Paper›PMID 34639581›Full record

ArticleInternational journal of environmental research and public health2021

Identifying Prenatal and Postnatal Determinants of Infant Growth: A Structural Equation Modelling Based Cohort Analysis.

Kelly Morgan, Shang-Ming Zhou, Rebecca Hill, Ronan A Lyons, Shantini Paranjothy, Sinead T Brophy

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 5 institutions in 1 country.

Kelly MorganSchool of Social Sciences, Cardiff University, Cardiff CF14 4YS, UK.ORCID 0000-0002-8685-1177
Shang-Ming ZhouCentre for Health Technology, Faculty of Health, University of Plymouth, Plymouth PL4 8AA, UK.
Rebecca HillWHO Collaborating Centre on Investment for Health and Well-Being, Public Health Wales, Cardiff CF10 4BZ, UK.
Ronan A LyonsHealth Data Research UK, Institute of Life Science, Swansea University, Swansea SA2 8PP, UK.
Shantini ParanjothySchool of Medicine and Dentistry, University of Aberdeen, Aberdeen AB25 2ZD, UK.ORCID 0000-0002-0528-3121
Sinead T BrophyHealth Data Research UK, Institute of Life Science, Swansea University, Swansea SA2 8PP, UK.
Swansea University · GBCardiff University · GBPublic Health Wales · GBUniversity of Aberdeen · GBUniversity of Plymouth · GB

Funding

British Heart Foundation MR/KO232331/1Medical Research Council MR/K006525/1Medical Research Council MR/K023233/1
6 · The paper itself

Abstract

backgroundThe growth and maturation of infants reflect their overall health and nutritional status. The purpose of this study is to examine the associations of prenatal and early postnatal factors with infant growth (IG).

methodsA data-driven model was constructed by structural equation modelling to examine the relationships between pre- and early postnatal environmental factors and IG at age 12 months. The IG was a latent variable created from infant weight and waist circumference. Data were obtained on 274 mother-child pairs during pregnancy and the postnatal periods.

resultsMaternal pre-pregnancy BMI emerged as an important predictor of IG with both direct and indirect (mediated through infant birth weight) effects. Infants who gained more weight from birth to 6 months and consumed starchy foods daily at age 12 months, were more likely to be larger by age 12 months. Infant physical activity (PA) levels also emerged as a determinant. The constructed model provided a reasonable fit (

conclusionPromoting healthy weight amongst women of child bearing age is important in preventing childhood obesity, and increasing daily infant PA is as important as a healthy infant diet.

Indexed as

Pediatric ObesityBirth WeightChildCohort StudiesFemaleHumansInfantLatent Class AnalysisPregnancyWaist Circumferenceinfant growthobesitypaediatricsphysical activitypostnatal developmentpregnancypublic healthstructural equation modelling

Identifiers

PMID34639581
PMCPMC8507693
OpenAlexW3202525637

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.