A comparison of the spatial dependence of body mass index among adults and children in a Swiss general population.

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Serval ID
serval:BIB_4E3076FDD07C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A comparison of the spatial dependence of body mass index among adults and children in a Swiss general population.
Journal
Nutrition and Diabetes
Author(s)
Guessous I., Joost S., Jeannot E., Theler J.M., Mahler P., Gaspoz J.M.
Working group(s)
GIRAPH Group
Contributor(s)
Cantoreggi N., Chételat£££Joël£££ J. , Simos J.
ISSN
2044-4052 (Electronic)
ISSN-L
2044-4052
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
4
Pages
e111
Language
english
Notes
Publication types: Journal ArticleP ublication Status: epublish
Abstract
BACKGROUND: Body mass index (BMI) may cluster in space among adults and be spatially dependent. Whether BMI clusters among children and how age-specific BMI clusters are related remains unknown. We aimed to identify and compare the spatial dependence of BMI in adults and children in a Swiss general population, taking into account the area's income level.
METHODS: Geo-referenced data from the Bus Santé study (adults, n=6663) and Geneva School Health Service (children, n=3601) were used. We implemented global (Moran's I) and local (local indicators of spatial association (LISA)) indices of spatial autocorrelation to investigate the spatial dependence of BMI in adults (35-74 years) and children (6-7 years). Weight and height were measured using standardized procedures. Five spatial autocorrelation classes (LISA clusters) were defined including the high-high BMI class (high BMI participant's BMI value correlated with high BMI-neighbors' mean BMI values). The spatial distributions of clusters were compared between adults and children with and without adjustment for area's income level.
RESULTS: In both adults and children, BMI was clearly not distributed at random across the State of Geneva. Both adults' and children's BMIs were associated with the mean BMI of their neighborhood. We found that the clusters of higher BMI in adults and children are located in close, yet different, areas of the state. Significant clusters of high versus low BMIs were clearly identified in both adults and children. Area's income level was associated with children's BMI clusters.
CONCLUSIONS: BMI clusters show a specific spatial dependence in adults and children from the general population. Using a fine-scale spatial analytic approach, we identified life course-specific clusters that could guide tailored interventions.
Pubmed
Web of science
Open Access
Yes
Create date
02/10/2014 17:35
Last modification date
20/08/2019 14:03
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