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.
Ziauddeen, Nida
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Fraser, Simon
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Stannard, Seb
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Berrington, Ann
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Chiovoloni, Roberta
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Akbari, Ashley
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Owen, Rhiannon K.
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Alwan, Nisreen A.
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Ziauddeen, Nida
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Fraser, Simon
135884b6-8737-4e8a-a98c-5d803ac7a2dc
Stannard, Seb
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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, 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)
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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Accepted/In Press date: 6 March 2026
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Local EPrints ID: 510490
URI: http://eprints.soton.ac.uk/id/eprint/510490
ISSN: 1101-1262
PURE UUID: 6f1bed0e-8480-4602-8de8-6271a9ee4f2a
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Date deposited: 13 Apr 2026 09:46
Last modified: 14 Apr 2026 02:05
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Contributors
Author:
Nida Ziauddeen
Author:
Seb Stannard
Author:
Roberta Chiovoloni
Author:
Ashley Akbari
Author:
Rhiannon K. Owen
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