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Neighbourhood typologies and associations with body mass index and obesity: A cross-sectional study

Research output: Contribution to journalArticle

  • M Hobbs
  • C Griffiths
  • M A Green
  • H Jordan
  • J Saunders
  • J McKenna
Original languageEnglish
JournalPreventive Medicine
Early online date2 Dec 2017
StateE-pub ahead of print - 2 Dec 2017
Externally publishedYes

Little research has investigated associations between a combined measure of the food and physical activity (PA) environment, BMI (body-mass-index) and obesity. Cross-sectional data (n=22,889, age 18-86years) from the Yorkshire Health Study were used [2010-2013]. BMI was calculated using self-reported height and weight; obesity=BMI≥30. Neighbourhood was defined as a 2km radial buffer. Food outlets and PA facilities were sourced from Ordnance Survey Points of Interest (PoI) and categorised into 'fast-food', 'large supermarkets', 'convenience and other food retail outlets' and 'physical activity facilities'. Parks were sourced from Open Street Map. Latent class analysis was conducted on these five environmental variables and availability was defined by quartiles of exposure. Linear and logistic regressions were then conducted for BMI and obesity respectively for different neighbourhood types. Models adjusted for age, gender, ethnicity, area-level deprivation, and rural/urban classification. A five-class solution demonstrated best fit and was interpretable. Neighbourhood typologies were defined as; 'low availability', 'moderate availability', 'moderate PA, limited food', 'saturated' and 'moderate PA, ample food'. Compared to low availability, one typology demonstrated lower BMI (saturated, b=-0.50, [95% CI=-0.76, -0.23]), while three showed higher BMI (moderate availability, b=0.49 [0.27, 0.72]; moderate PA, limited food, b=0.30 [0.01, 0.59]; moderate PA, ample food, b=0.32 [0.08, 0.57]). Furthermore, compared to the low availability, saturated neighbourhoods showed lower odds of obesity (OR=0.86 [0.75, 0.99]) while moderate availability showed greater odds of obesity (OR=1.18 [1.05, 1.32]). This study supports population-level approaches to tackling obesity however neighbourhoods contained features that were health-promoting and -constraining.

    Research areas

  • Journal Article


  • Hobbs_M_LCA_Prev_Med_Author_accepted_manuscript

    Rights statement: © 2017 Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

    Accepted author manuscript, 420 KB, PDF-document

External organisations

  • School of Sport, Carnegie, Leeds Beckett University, Leeds LS6 3QT, UK.; School of Social and Health Sciences, Leeds Trinity University, Leeds, UK.. Electronic address:
  • School of Sport, Carnegie, Leeds Beckett University, Leeds LS6 3QT, UK.
  • School of Environmental Sciences, University of Liverpool, Liverpool, UK.
  • School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
  • Carnegie(1), Leeds Beckett University, Leeds LS6 3QT, UK.

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