Associations between BMI and home, school and route environmental exposures estimated using GPS and GIS: do we see evidence of selective daily mobility bias in children?

International Journal of Health Geographics

Sara E Benjamin Neelon³  Rebecca J Namenek Brouwer¹  Andy P Jones²  Thomas Burgoine³ 

[1] Duke Global Health Institute, Duke University, 310 Trent Hall, Durham, NC 27710, USA;Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK;UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK

关键词: Selective daily mobility bias;    Geographic information systems (GIS);    Global positioning systems (GPS);    Body mass index (BMI);    Activity space;    Environmental exposure;   

Others  :  1133633
DOI  :  10.1186/1476-072X-14-8

 received in 2014-11-11, accepted in 2015-01-23,  发布年份 2015

【 摘 要 】

Background

This study examined whether objective measures of food, physical activity and built environment exposures, in home and non-home settings, contribute to children’s body weight. Further, comparing GPS and GIS measures of environmental exposures along routes to and from school, we tested for evidence of selective daily mobility bias when using GPS data.

Methods

This study is a cross-sectional analysis, using objective assessments of body weight in relation to multiple environmental exposures. Data presented are from a sample of 94 school-aged children, aged 5–11 years. Children’s heights and weights were measured by trained researchers, and used to calculate BMI z-scores. Participants wore a GPS device for one full week. Environmental exposures were estimated within home and school neighbourhoods, and along GIS (modelled) and GPS (actual) routes from home to school. We directly compared associations between BMI and GIS-modelled versus GPS-derived environmental exposures. The study was conducted in Mebane and Mount Airy, North Carolina, USA, in 2011.

Results

In adjusted regression models, greater school walkability was associated with significantly lower mean BMI. Greater home walkability was associated with increased BMI, as was greater school access to green space. Adjusted associations between BMI and route exposure characteristics were null. The use of GPS-actual route exposures did not appear to confound associations between environmental exposures and BMI in this sample.

Conclusions

This study found few associations between environmental exposures in home, school and commuting domains and body weight in children. However, walkability of the school neighbourhood may be important. Of the other significant associations observed, some were in unexpected directions. Importantly, we found no evidence of selective daily mobility bias in this sample, although our study design is in need of replication in a free-living adult sample.

【 授权许可】

   
2015 Burgoine et al.; licensee BioMed Central.

【 图 表 】

Figure 1.

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