Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study.

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Version: Final published version
Serval ID
serval:BIB_C9DE0FBF3951
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study.
Journal
Bmj Open
Author(s)
Joost S., Duruz S., Marques-Vidal P., Bochud M., Stringhini S., Paccaud F., Gaspoz J.M., Theler J.M., Chételat J., Waeber G., Vollenweider P., Guessous I.
ISSN
2044-6055 (Electronic)
Publication state
Published
Issued date
2016
Volume
6
Number
1
Pages
e010145
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
OBJECTIVE: Body mass index (BMI) may cluster in space among adults and be spatially dependent. Whether and how BMI clusters evolve over time in a population is currently unknown. We aimed to determine the spatial dependence of BMI and its 5-year evolution in a Swiss general adult urban population, taking into account the neighbourhood-level and individual-level characteristics.
DESIGN: Cohort study.
SETTING: Swiss general urban population.
PARTICIPANTS: 6481 georeferenced individuals from the CoLaus cohort at baseline (age range 35-74 years, period=2003-2006) and 4460 at follow-up (period=2009-2012).
OUTCOME MEASURES: Body weight and height were measured by trained healthcare professionals with participants standing without shoes in light indoor clothing. BMI was calculated as weight (kg) divided by height squared (m(2)). Participants were geocoded using their postal address (geographic coordinates of the place of residence). Getis-Ord Gi statistic was used to measure the spatial dependence of BMI values at baseline and its evolution at follow-up.
RESULTS: BMI was not randomly distributed across the city. At baseline and at follow-up, significant clusters of high versus low BMIs were identified and remained stable during the two periods. These clusters were meaningfully attenuated after adjustment for neighbourhood-level income but not individual-level characteristics. Similar results were observed among participants who showed a significant weight gain.
CONCLUSIONS: To the best of our knowledge, this is the first study to report longitudinal changes in BMI clusters in adults from a general population. Spatial clusters of high BMI persisted over a 5-year period and were mainly influenced by neighbourhood-level income.
Pubmed
Web of science
Open Access
Yes
Create date
21/01/2016 11:27
Last modification date
20/08/2019 15:44
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