Built environmental profiles and children’s body mass index: A national data linkage study in Wales

ObjectivesThis study aimed to identify environmental profiles of households with children across Wales and to examine the association between environmental characteristics and children’s weight status at ages 4 and 5. MethodsGeographic Information System (GIS) metrics and environmental characteristics were applied to the households of children with a Body Mass Index (BMI) measurement recorded in the Wales Child Measurement Programme (CMP) between 2013 and 2019. BMI UK1990 clinical reference standards were used to categorise children as living with a “healthy” (≥second to <91st centile) or “unhealthy” (≥91st centile) weight. Profiles of home environments were determined using latent class analysis. Characteristics of the best model were examined to determine if they were meaningful qualitatively in the context of children’s environments. Logistic regression evaluated the association between the latent profiles and weight status. ResultsA total of 167,789 unique households were identified from the residences of 214,947 children who had a BMI measurement in the CMP. These households were separated into five profiles: ‘Rural, spacious and isolated’, ‘Suburban’, ‘Deprived and underserved’, ‘Deprived and well-served’, ‘Dense, coastal, well-connected’. Profile membership was associated with weight status; for example, children residing in ‘deprived, well-served’ areas were 22% more likely to be living with an unhealthy weight compared to children living in ‘rural, spacious and isolated’ areas. ConclusionFindings demonstrate the importance of research examining aggregate effects of children’s environments on unhealthy weight. Policy and practice needs to focus on those features which are modifiable to increase opportunities for healthier lifestyles.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3261
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
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article

Built environmental profiles and children’s body mass index: A national data linkage study in Wales

Jo Davies, Theodora Pouliou, Rebecca Pedrick-Case, Lucy Griffiths et al.
International Journal for Population Data Science
Noise Effects and Management
article

Built environmental profiles and children’s body mass index: A national data linkage study in Wales

Jo Davies, Theodora Pouliou, Rebecca Pedrick-Case, Lucy Griffiths, Ronan Lyons, Rowena Bailey, Richard Fry, Alan Watkins, Gareth Stratton, Amy Mizen
article en

Abstract

ObjectivesThis study aimed to identify environmental profiles of households with children across Wales and to examine the association between environmental characteristics and children’s weight status at ages 4 and 5. MethodsGeographic Information System (GIS) metrics and environmental characteristics were applied to the households of children with a Body Mass Index (BMI) measurement recorded in the Wales Child Measurement Programme (CMP) between 2013 and 2019. BMI UK1990 clinical reference standards were used to categorise children as living with a “healthy” (≥second to <91st centile) or “unhealthy” (≥91st centile) weight. Profiles of home environments were determined using latent class analysis. Characteristics of the best model were examined to determine if they were meaningful qualitatively in the context of children’s environments. Logistic regression evaluated the association between the latent profiles and weight status. ResultsA total of 167,789 unique households were identified from the residences of 214,947 children who had a BMI measurement in the CMP. These households were separated into five profiles: ‘Rural, spacious and isolated’, ‘Suburban’, ‘Deprived and underserved’, ‘Deprived and well-served’, ‘Dense, coastal, well-connected’. Profile membership was associated with weight status; for example, children residing in ‘deprived, well-served’ areas were 22% more likely to be living with an unhealthy weight compared to children living in ‘rural, spacious and isolated’ areas. ConclusionFindings demonstrate the importance of research examining aggregate effects of children’s environments on unhealthy weight. Policy and practice needs to focus on those features which are modifiable to increase opportunities for healthier lifestyles.

International Journal for Population Data ScienceVol. 10(4)
Swansea University (GB)
Openalex Percentile: Top 69%
Noise Effects and Management
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