Evidence map›Paper›PMID 37905405›Full record

ArticlePublic health nutrition2023

Development and internal validation of the SMILE-FSS: a Free Sugars Screener for Australian children aged 2 and 5 years.

Lucinda K Bell, Shalem Leemaqz, Gemma Devenish-Coleman, Loc G Do, Diep Ha, Jane A Scott, Rebecca K Golley

Abstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lucinda K BellCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide5001, Australia.ORCID 0000-0001-7251-9176
Shalem LeemaqzSouth Australian Health and Medical Research Institute, Adelaide, SA, Australia.
Gemma Devenish-ColemanSchool of Population Health, Curtin University, Perth, WA6102, Australia.
Loc G DoSchool of Dentistry, The University of Queensland, Brisbane, QLD, 4072Australia.ORCID 0000-0003-3684-9949
Diep HaSchool of Dentistry, The University of Queensland, Brisbane, QLD, 4072Australia.
Jane A ScottSchool of Population Health, Curtin University, Perth, WA6102, Australia.
Rebecca K GolleyCaring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide5001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and internally validate a Free Sugars Screener (FSS) for Australian children aged 2 and 5 years.

designUsing data collected from a ninety-nine-item (2-year-olds) and ninety-eight-item (5-year-olds) FFQ in the Study of Mothers' and Infants' Life Events affecting oral health (SMILE-FFQ), a regression-based prediction modelling approach was employed to identify a subset of items that accurately estimate total free sugars intake (FSI). The predictors were grams of free sugars (FSg) for individual items in the SMILE-FFQ and child's age and sex. The outcome variable was total FSI per person. To internally validate the SMILE-FSS items, the estimated FSg was converted to percent energy from free sugars (%EFS) for comparison to the WHO free sugars guideline categories (< 5 %, 5-< 10 % and ≥ 10 %EFS) using cross-classification analysis.

settingAustralia.

participants858 and 652 2- and 5-year-old children, respectively, with complete dietary (< 5 % missing) and sociodemographic data.

resultsTwenty-two and twenty-six items were important in predicting FSI at 2 and 5 years, respectively. Items were similar between ages with more discretionary beverage items (e.g. sugar-sweetened beverages) at 5 years. %EFS was overestimated by 4·4 % and 2·6 %. Most children (75 % and 82 %) were categorised into the same WHO free sugars category with most (87 % and 95 %) correctly identified as having < 10 %EFS in line with the WHO recommendation.

conclusionsThe SMILE-FSS has good internal validity and can be used in research and practice to estimate young Australian children's FSI and compare to the WHO free sugars guidelines to identify those 'at risk'.

Indexed as

DietSugarsAustraliaBeveragesChild, PreschoolDietary CarbohydratesEnergy IntakeFemaleHumansInfantMothersDietary CarbohydratesSugarsDental screenerDietary assessmentEarly childhoodFree sugarsOral healthPreschoolShort screener

Identifiers

PMID37905405
PMCPMC10755434

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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.