Evidence map›Paper›PMID 35815733›Full record

ArticleCommunity dentistry and oral epidemiology2023

Pairwise approach for analysis and reporting of child's free sugars intake from a birth cohort study.

Huy Van Nguyen, Diep Hong Ha, An Thi Minh Dao, Rebecca K Golley, Jane A Scott, John Spencer, Lucinda Bell, Gemma Devenish-Coleman, Loc Giang Do

Abstract read
In one paragraph

Article in Community dentistry and oral epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. 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

9 authors.

Huy Van NguyenHealth Innovation and Transformation Centre, Federation University, Ballarat, Victoria, Australia.ORCID 0000-0002-5896-9661
Diep Hong HaSchool of Dentistry, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-5440-4452
An Thi Minh DaoDepartment of Population and Quantitative Health Sciences, The University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Rebecca K GolleyCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.
Jane A ScottSchool of Population Health, Curtin University, Perth, Western Australia, Australia.
John SpencerAustralian Research Centre for Population Oral Health, University of Adelaide, Adelaide, South Australia, Australia.
Lucinda BellCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia.
Gemma Devenish-ColemanSchool of Population Health, Curtin University, Perth, Western Australia, Australia.
Loc Giang DoSchool of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia.ORCID 0000-0003-3684-9949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe prospective cohort design is an important research design, but a common challenge is missing data. The purpose of this study is to compare three approaches to managing missing data, the pairwise (n = 1386 children), the partial or modified pairwise (n = 1019) and the listwise (n = 546), to characterize the trajectories of children's free sugars intake (FSI) across early childhood.

methodsBy applying the Group-based Trajectory Model Technique to three waves of data collected from a prospective cohort study of South Australian children, this study examined the three approaches in managing missing data to validate and discuss children's FSI trajectories.

resultsEach approach identified three distinct trajectories of child's FSI from 1 to 5 years of age: (1) 'low and fast increasing', (2) 'moderate and increasing' and (3) 'high and increasing'. The trajectory memberships were consistent across the three approaches, and were for the pairwise scenario (1) 15.1%, (2) 68.3% and (3) 16.6%; the partial or modified pairwise (1) 15.9%, (2) 64.1% and (3) 20.0%; and the listwise (1) 14.9%, (2) 64.9% and (3) 20.2% of children.

conclusionsGiven the comparability of the findings across the analytical approaches and the samples' characteristics between baseline and across different data collection waves, it is recommended that the pairwise approach be used in future analyses to optimize the sample size and statistical power when examining the relationship between FSI in the first years of life and health outcome such as dental caries.

Indexed as

Dental CariesAustraliaChildChild, PreschoolCohort StudiesHumansProspective StudiesSugarsSugarsAustraliachildrencohort studiesdata analysisdietary sugarslatent class analysismethodological study

Identifiers

PMID35815733
PMCPMC10946696

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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.