ArticleBMJ open2016
Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study.
Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Exploring geographical differences in semen quality of young men using spatial dependence analysis.Human reproduction (Oxford, England) · 2025Article
- Weight Trajectories Among Youths Following Residential Relocation.JAMA network open · 2025Article
- Spatial dependence of non-traumatic out-of-hospital cardiac arrest in a Swiss region: A retrospective analysis.Resuscitation plus · 2024Article
- Willingness to participate in a personalized health cohort - insights from the swiss health study pilot phase.BMC public health · 2024Article
- Identifying obesogenic environment through spatial clustering of body mass index among adults.International journal of health geographics · 2024Article
- Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort.Scientific reports · 2024Article
- Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning.Portuguese journal of public health · 2023Article
- Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area.PloS one · 2022Article
- Socio-economic position as a moderator of cardiometabolic outcomes in patients receiving psychotropic treatment associated with weight gain: results from a prospective 12-month inception cohort study and a large population-based cohort.Translational psychiatry · 2021Article
- Neighbourhood effects on obesity: scoping review of time-varying outcomes and exposures in longitudinal designs.BMJ open · 2020Article
- Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study.Scientific reports · 2019Article
- The Moving to Health (M2H) approach to natural experiment research: A paradigm shift for studies on built environment and health.SSM - population health · 2019Article
- Spatial Association of Food Sales in Supermarkets with the Mean BMI of Young Men: An Ecological Study.Nutrients · 2019Article
- Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status.Cancer medicine · 2018Article
- A spatial analysis of dietary patterns in a large representative population in the north of The Netherlands - the Lifelines cohort study.The international journal of behavioral nutrition and physical activity · 2017Article
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12 authors.
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Abstract
objectiveBody 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.
designCohort study.
settingSwiss general urban population.
participants6481 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.
resultsBMI 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.
conclusionsTo 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.
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