Geographic clustering and region-specific determinants of obesity in the Netherlands
As a leading cause of morbidity and premature mortality, obesity has become a major global public health problem. It is therefore important to investigate the spatial variation of obesity prevalence and its associations with environmental and behavioral factors (e.g., food environment, physical acti...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2020-06-01
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| Series: | Geospatial Health |
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| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/839 |
| _version_ | 1818068057634897920 |
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| author | Ge Qiu Xiaojian Liu Arsha Yuditha Amiranti Mulimba Yasini Tong Wu Sherif Amer Peng Jia |
| author_facet | Ge Qiu Xiaojian Liu Arsha Yuditha Amiranti Mulimba Yasini Tong Wu Sherif Amer Peng Jia |
| author_sort | Ge Qiu |
| collection | DOAJ |
| description | As a leading cause of morbidity and premature mortality, obesity has become a major global public health problem. It is therefore important to investigate the spatial variation of obesity prevalence and its associations with environmental and behavioral factors (e.g., food environment, physical activity), to optimize the targeting of scarce public health resources. In this study, the geographic clustering of obesity in the Netherlands was explored by analyzing the local spatial autocorrelation of municipal-level prevalence rates of adulthood obesity (aged ≥19 years) in 2016. The potential influential factors that may be associated with obesity prevalence were first selected from five categories of healthrelated factors through binary and Least Absolute Shrinkage and Selection Operator (LASSO) regressions. Geographically Weighted Regression (GWR) was then used to investigate the spatial variations of the associations between those selected factors and obesity prevalence. The results revealed marked geographic variations in obesity prevalence, with four clusters of high prevalence in the north, south, east, and west, and three clusters of low prevalence in the north and south of the Netherlands. Lack of sports participation, risk of anxiety, falling short of physical activity guidelines, and the number of restaurants around homes were found to be associated with obesity prevalence across municipalities. Our findings show that effective, region-specific strategies are needed to tackle the increasing obesity in the Netherlands. |
| first_indexed | 2024-12-10T15:33:32Z |
| format | Article |
| id | doaj.art-30c142a74b84479daf61f6d33716410e |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-10T15:33:32Z |
| publishDate | 2020-06-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-30c142a74b84479daf61f6d33716410e2022-12-22T01:43:19ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962020-06-0115110.4081/gh.2020.839Geographic clustering and region-specific determinants of obesity in the NetherlandsGe Qiu0Xiaojian Liu1Arsha Yuditha Amiranti2Mulimba Yasini3Tong Wu4Sherif Amer5Peng Jia6International Initiative on Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China; Faculty of Geo-information Science and Earth Observation, University of Twente, EnschedeFaculty of Geo-information Science and Earth Observation, University of Twente, EnschedeFaculty of Geo-information Science and Earth Observation, University of Twente, EnschedeFaculty of Geo-information Science and Earth Observation, University of Twente, EnschedeInternational Initiative on Spatial Lifecourse Epidemiology (ISLE), Hong Kong; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, BeijingFaculty of Geo-information Science and Earth Observation, University of Twente, EnschedeInternational Initiative on Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China; Faculty of Geo-information Science and Earth Observation, University of Twente, EnschedeAs a leading cause of morbidity and premature mortality, obesity has become a major global public health problem. It is therefore important to investigate the spatial variation of obesity prevalence and its associations with environmental and behavioral factors (e.g., food environment, physical activity), to optimize the targeting of scarce public health resources. In this study, the geographic clustering of obesity in the Netherlands was explored by analyzing the local spatial autocorrelation of municipal-level prevalence rates of adulthood obesity (aged ≥19 years) in 2016. The potential influential factors that may be associated with obesity prevalence were first selected from five categories of healthrelated factors through binary and Least Absolute Shrinkage and Selection Operator (LASSO) regressions. Geographically Weighted Regression (GWR) was then used to investigate the spatial variations of the associations between those selected factors and obesity prevalence. The results revealed marked geographic variations in obesity prevalence, with four clusters of high prevalence in the north, south, east, and west, and three clusters of low prevalence in the north and south of the Netherlands. Lack of sports participation, risk of anxiety, falling short of physical activity guidelines, and the number of restaurants around homes were found to be associated with obesity prevalence across municipalities. Our findings show that effective, region-specific strategies are needed to tackle the increasing obesity in the Netherlands.https://geospatialhealth.net/index.php/gh/article/view/839ObesityLASSOGeographically weighted regressionNetherlands |
| spellingShingle | Ge Qiu Xiaojian Liu Arsha Yuditha Amiranti Mulimba Yasini Tong Wu Sherif Amer Peng Jia Geographic clustering and region-specific determinants of obesity in the Netherlands Geospatial Health Obesity LASSO Geographically weighted regression Netherlands |
| title | Geographic clustering and region-specific determinants of obesity in the Netherlands |
| title_full | Geographic clustering and region-specific determinants of obesity in the Netherlands |
| title_fullStr | Geographic clustering and region-specific determinants of obesity in the Netherlands |
| title_full_unstemmed | Geographic clustering and region-specific determinants of obesity in the Netherlands |
| title_short | Geographic clustering and region-specific determinants of obesity in the Netherlands |
| title_sort | geographic clustering and region specific determinants of obesity in the netherlands |
| topic | Obesity LASSO Geographically weighted regression Netherlands |
| url | https://geospatialhealth.net/index.php/gh/article/view/839 |
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