Understanding Childhood Obesity in London: A Multi-Factor Analysis of Key Determinants

Yuqin Fei

doi:10.54254/2753-8818/2025.21799

Research Article

Open access

Published on 10 April 2025

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Fei,Y. (2025). Understanding Childhood Obesity in London: A Multi-Factor Analysis of Key Determinants. Theoretical and Natural Science,99,43-50.

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Understanding Childhood Obesity in London: A Multi-Factor Analysis of Key Determinants

Yuqin Fei *^,1,

¹ The Bartlett Centre for Advanced Spatial Analysis, University College London

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2025.21799

Abstract

Nowadays, childhood obesity has become an increasingly significant public health challenge, particularly in developed urban environments. In order to have a better understanding of this heated topic, this study investigates the obesity rate of children in London by analyzing its spatial and temporal trends. Besides, the research uses multiple linear regression to examine the possible socioeconomic driving factors of childhood obesity, including poverty rates, sports participation, crime rates, and the number of looked-after children (LAC). The findings reveal that the obesity rate of year 6 (ages 10-11) children showed an upward trend from 2008 to 2018, and eastern London boroughs had a relatively high childhood obesity rate during this period. As for the driving factors, poverty rates have the strongest correlation with the childhood obesity rate, followed by sports participation rates, while crime rates and LAC rates show weaker associations. The results highlight the need for targeted public health interventions addressing socioeconomic disparities and promoting physical activity to reduce childhood obesity in high-risk areas, particularly in eastern London boroughs.

Keywords

Childhood obesity, Multiple linear regression, Driving factors, London

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Cite this article

Fei,Y. (2025). Understanding Childhood Obesity in London: A Multi-Factor Analysis of Key Determinants. Theoretical and Natural Science,99,43-50.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Biological Engineering and Medical Science

Conference website: https://2025.icbiomed.org/

ISBN：978-1-80590-007-8(Print) / 978-1-80590-008-5(Online)

Conference date: 17 October 2025

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Series: Theoretical and Natural Science

Volume number: Vol.99

ISSN：2753-8818(Print) / 2753-8826(Online)

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