Evidence map›Paper›PMID 34493286›Full record

ArticleNutrition journal2021

Early life and socio-economic determinants of dietary trajectories in infancy and early childhood - results from the HSHK birth cohort study.

Narendar Manohar, Andrew Hayen, Loc Do, Jane Scott, Sameer Bhole, Amit Arora

Open access · goldAbstract read
In one paragraph

Article in Nutrition journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  14. Oral health of children in Aotearoa New Zealand-time for change.Journal of the Royal Society of New Zealand · 2022
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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

6 authors at 5 institutions in 1 country.

Narendar ManoharSchool of Health Sciences, Western Sydney University, Penrith, NSW, 2751, Australia.ORCID 0000-0002-5753-6565
Andrew HayenFaculty of Health, School of Public Health, University of Technology Sydney, Ultimo, NSW, 2007, Australia.
Loc DoFaculty of Health and Behavioural Sciences, School of Dentistry, University of Queensland, Brisbane, QLD, 4072, Australia.
Jane ScottDiscipline of Nutrition and Dietetics, School of Population Health, Curtin University, Perth, WA, 6102, Australia.
Sameer BholeOral Health Services, Sydney Local Health District and Sydney Dental Hospital, Surry Hills, NSW, 2010, Australia.
Amit AroraSchool of Health Sciences, Western Sydney University, Penrith, NSW, 2751, Australia. a.arora@westernsydney.edu.au.
Camden and Campbelltown Hospitals · AUCurtin University · AUSydney Dental Hospital · AUThe University of Queensland · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly childhood is a period when dietary behaviours are established. This study aimed to examine the longitudinal intake of core and discretionary foods and identify early life and socio-economic factors influencing those intakes.

methodsMother-infant dyads (n = 934) from the Healthy Smiles Healthy Kids study, an ongoing birth cohort study, were interviewed. The information on 'weekly frequency of core and discretionary foods intake' using a food frequency questionnaire was collected at 4 months, 8 months, 1 year, 2 years and 3 years age points. Group-based trajectory modelling analyses were performed to identify diet trajectories for 'core' and 'discretionary' foods respectively. A multinomial logistic regression was performed to identify the maternal and child-related predictors of resulting trajectories.

resultsThe intake of core and discretionary foods each showed distinct quadratic (n = 3) trajectories with age. Overall, core foods intake increased rapidly in the first year of life, followed by a decline after age two, whereas discretionary foods intake increased steadily across the five age points. Multiparity (Relative Risk (RR): 0.46, 95%CI: 0.27-0.77), non-English speaking ethnicity of mother (RR: 0.66, 95%CI: 0.47-0.91) and having a single mother (RR: 0.40, 95%CI: 0.18-0.85) were associated with low trajectories of core foods intake whereas older maternal age (RR: 1.05, 95%CI: 1.01-1.08) and longer breastfeeding duration (RR: 1.02, 95%CI: 1.00-1.03) were associated with higher trajectories of core foods intake. Also, multiparity (RR 2.63, 95%CI: 1.47-4.70), low maternal education (RR 3.01, 95%CI: 1.61-5.65), and socio-economic disadvantage (RR 2.69, 95%CI: 1.31-5.55) were associated with high trajectories of discretionary foods intake. Conversely, longer duration of breastfeeding (RR 0.99, 95%CI: 0.97-0.99), and timely introduction of complementary foods (RR 0.30, 95%CI: 0.15-0.61) had a protective effect against high discretionary foods consumption in infancy and early childhood.

conclusionChildren's frequency of discretionary foods intake increases markedly as they transition from infancy to preschool age, and the trajectories of intake established during early childhood are strongly influenced by socio-demographic factors and infant feeding choices. Hence, there is a need for targeted strategies to improve nutrition in early childhood and ultimately prevent the incidence of chronic diseases in children.

Indexed as

DietNutritional StatusBreast FeedingChild, PreschoolCohort StudiesFeeding BehaviorFemaleHumansInfantSocioeconomic FactorsDietFood frequency questionnaireHealthy lifestylePatternsPreschool childrenSocial determinants of healthSocio-economic inequalityTrajectories

Identifiers

PMID34493286
PMCPMC8424821
OpenAlexW3196359332

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.