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Predicting childhood overweight and obesity at school entrance using healthcare, demographic and socioeconomic data in Wales, UK

Predicting childhood overweight and obesity at school entrance using healthcare, demographic and socioeconomic data in Wales, UK
Predicting childhood overweight and obesity at school entrance using healthcare, demographic and socioeconomic data in Wales, UK
Background: in Wales, 24.8% of children aged 4-5 years live with overweight/obesity. Obesity is linked to developing multiple long-term conditions. We aimed to predict childhood obesity using healthcare and wider demographic, socioeconomic and area-level data.

Methods: the Secure Anonymised Information Linkage (SAIL) Databank in Wales contains routinely-collected individual-level anonymised data from health records and administrative data. Two subsamples were created. The first restricted to singleton births between 15/03/2010 and 28/03/2012 to include Census 2011 data. The second included births after 01/01/2014 to include early-life measurements. Age- and sex-adjusted body mass index (BMI) at 4-5 years was used to define outcome of overweight/obesity (≥91st centile). Backward stepwise logistic regression models with multivariable fractional polynomials were used to develop models in stages.

Results: data were available on 53815 children at 4-5 years in census and 60990 children in early-life subsample. Maternal BMI, smoking, marital status, birthweight, ethnic group, gender and breastfeeding at birth were retained in all models. Additional variables were retained on adding census and area-level factors but increase in discrimination (Area Under the Curve, AUC) was marginal (0.66 to 0.67). In the second subsample, AUC improved from 0.67 to 0.79 as factors up to weight at 27 months were incorporated.

Conclusion: factors from healthcare records were largely consistent with existing literature. Additional insights were provided by including census data, though increase in model discrimination was marginal. Childhood obesity can act as a mediator on the pathway to multiple long-term conditions, and risk identification tools may target early prevention.
1101-1262
Ziauddeen, Nida
8b233a4a-9763-410b-90c7-df5c7d1a26e4
Fraser, Simon
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Stannard, Seb
0fbf5a1c-abab-4135-a8f9-c3c9f570aaea
Berrington, Ann
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Chiovoloni, Roberta
593d5cf9-f7c7-4ef9-a459-e627b63b3606
Akbari, Ashley
80b0f5bb-6f36-491d-9725-8fee367e03ff
Owen, Rhiannon K.
ac692db4-4735-4f3e-b8f7-9682a092f354
Alwan, Nisreen A.
0d37b320-f325-4ed3-ba51-0fe2866d5382
Ziauddeen, Nida
8b233a4a-9763-410b-90c7-df5c7d1a26e4
Fraser, Simon
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Stannard, Seb
0fbf5a1c-abab-4135-a8f9-c3c9f570aaea
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Chiovoloni, Roberta
593d5cf9-f7c7-4ef9-a459-e627b63b3606
Akbari, Ashley
80b0f5bb-6f36-491d-9725-8fee367e03ff
Owen, Rhiannon K.
ac692db4-4735-4f3e-b8f7-9682a092f354
Alwan, Nisreen A.
0d37b320-f325-4ed3-ba51-0fe2866d5382

Ziauddeen, Nida, Fraser, Simon, Stannard, Seb, Berrington, Ann, Chiovoloni, Roberta, Akbari, Ashley, Owen, Rhiannon K. and Alwan, Nisreen A. (2026) Predicting childhood overweight and obesity at school entrance using healthcare, demographic and socioeconomic data in Wales, UK. European Journal of Public Health. (In Press)

Record type: Article

Abstract

Background: in Wales, 24.8% of children aged 4-5 years live with overweight/obesity. Obesity is linked to developing multiple long-term conditions. We aimed to predict childhood obesity using healthcare and wider demographic, socioeconomic and area-level data.

Methods: the Secure Anonymised Information Linkage (SAIL) Databank in Wales contains routinely-collected individual-level anonymised data from health records and administrative data. Two subsamples were created. The first restricted to singleton births between 15/03/2010 and 28/03/2012 to include Census 2011 data. The second included births after 01/01/2014 to include early-life measurements. Age- and sex-adjusted body mass index (BMI) at 4-5 years was used to define outcome of overweight/obesity (≥91st centile). Backward stepwise logistic regression models with multivariable fractional polynomials were used to develop models in stages.

Results: data were available on 53815 children at 4-5 years in census and 60990 children in early-life subsample. Maternal BMI, smoking, marital status, birthweight, ethnic group, gender and breastfeeding at birth were retained in all models. Additional variables were retained on adding census and area-level factors but increase in discrimination (Area Under the Curve, AUC) was marginal (0.66 to 0.67). In the second subsample, AUC improved from 0.67 to 0.79 as factors up to weight at 27 months were incorporated.

Conclusion: factors from healthcare records were largely consistent with existing literature. Additional insights were provided by including census data, though increase in model discrimination was marginal. Childhood obesity can act as a mediator on the pathway to multiple long-term conditions, and risk identification tools may target early prevention.

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SAIL-Manuscript-EJPH-R1-clean - Accepted Manuscript
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Accepted/In Press date: 6 March 2026

Identifiers

Local EPrints ID: 510490
URI: http://eprints.soton.ac.uk/id/eprint/510490
ISSN: 1101-1262
PURE UUID: 6f1bed0e-8480-4602-8de8-6271a9ee4f2a
ORCID for Nida Ziauddeen: ORCID iD orcid.org/0000-0002-8964-5029
ORCID for Simon Fraser: ORCID iD orcid.org/0000-0002-4172-4406
ORCID for Seb Stannard: ORCID iD orcid.org/0000-0002-6139-1020
ORCID for Ann Berrington: ORCID iD orcid.org/0000-0002-1683-6668
ORCID for Nisreen A. Alwan: ORCID iD orcid.org/0000-0002-4134-8463

Catalogue record

Date deposited: 13 Apr 2026 09:46
Last modified: 14 Apr 2026 02:05

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Contributors

Author: Nida Ziauddeen ORCID iD
Author: Simon Fraser ORCID iD
Author: Seb Stannard ORCID iD
Author: Ann Berrington ORCID iD
Author: Roberta Chiovoloni
Author: Ashley Akbari
Author: Rhiannon K. Owen

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