Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study
Inadequate sodium and potassium dietary intakes are associated with major, yet preventable, health consequences. Local public health interventions can be facilitated and informed by fine-scale geospatial analyses. In this study, we assess the existence of spatial clustering (i.e., an unusual concent...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/13/6/1798 |
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| author | David De Ridder Fabiën N. Belle Pedro Marques-Vidal Belén Ponte Murielle Bochud Silvia Stringhini Stéphane Joost Idris Guessous |
| author_facet | David De Ridder Fabiën N. Belle Pedro Marques-Vidal Belén Ponte Murielle Bochud Silvia Stringhini Stéphane Joost Idris Guessous |
| author_sort | David De Ridder |
| collection | DOAJ |
| description | Inadequate sodium and potassium dietary intakes are associated with major, yet preventable, health consequences. Local public health interventions can be facilitated and informed by fine-scale geospatial analyses. In this study, we assess the existence of spatial clustering (i.e., an unusual concentration of individuals with a specific outcome in space) of estimated sodium (Na), potassium (K) intakes, and Na:K ratio in the Bus Santé 1992–2018 annual population-based surveys, including 22,495 participants aged 20–74 years, residing in the canton of Geneva, using the local Moran’s <i>I</i> spatial statistics. We also investigate whether socio-demographic and food environment characteristics are associated with identified spatial clustering, using both global ordinary least squares (OLS) and local geographically weighted regression (GWR) modeling. We identified clear spatial clustering of Na:K ratio, Na, and K intakes. The GWR outperformed the OLS models and revealed spatial variations in the associations between explanatory and outcome variables. Older age, being a woman, higher education, and having a lower access to supermarkets were associated with higher Na:K ratio, while the opposite was seen for having the Swiss nationality. Socio-demographic characteristics explained a major part of the identified clusters. Socio-demographic and food environment characteristics significantly differed between individuals in spatial clusters of high and low Na:K ratio, Na, and K intakes. These findings could guide prioritized place-based interventions tailored to the characteristics of the identified populations. |
| first_indexed | 2024-03-10T11:04:19Z |
| format | Article |
| id | doaj.art-5393d0614b9349678a9ae717e562a04d |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T11:04:19Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-5393d0614b9349678a9ae717e562a04d2023-11-21T21:17:12ZengMDPI AGNutrients2072-66432021-05-01136179810.3390/nu13061798Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based StudyDavid De Ridder0Fabiën N. Belle1Pedro Marques-Vidal2Belén Ponte3Murielle Bochud4Silvia Stringhini5Stéphane Joost6Idris Guessous7Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, SwitzerlandInstitute of Social and Preventive Medicine (ISPM), University of Bern, 3012 Bern, SwitzerlandGroup of Geographic Information Research and Analysis in Population Health (GIRAPH), 1205 Geneva, SwitzerlandService of Nephrology and Hypertension, University Hospital Geneva, 1205 Geneva, SwitzerlandCenter for Primary Care and Public Health (Unisanté), University of Lausanne, 1010 Lausanne, SwitzerlandUnit of Population Epidemiology, Division of Primary Care Medicine, Department of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, SwitzerlandLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, SwitzerlandLaboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, SwitzerlandInadequate sodium and potassium dietary intakes are associated with major, yet preventable, health consequences. Local public health interventions can be facilitated and informed by fine-scale geospatial analyses. In this study, we assess the existence of spatial clustering (i.e., an unusual concentration of individuals with a specific outcome in space) of estimated sodium (Na), potassium (K) intakes, and Na:K ratio in the Bus Santé 1992–2018 annual population-based surveys, including 22,495 participants aged 20–74 years, residing in the canton of Geneva, using the local Moran’s <i>I</i> spatial statistics. We also investigate whether socio-demographic and food environment characteristics are associated with identified spatial clustering, using both global ordinary least squares (OLS) and local geographically weighted regression (GWR) modeling. We identified clear spatial clustering of Na:K ratio, Na, and K intakes. The GWR outperformed the OLS models and revealed spatial variations in the associations between explanatory and outcome variables. Older age, being a woman, higher education, and having a lower access to supermarkets were associated with higher Na:K ratio, while the opposite was seen for having the Swiss nationality. Socio-demographic characteristics explained a major part of the identified clusters. Socio-demographic and food environment characteristics significantly differed between individuals in spatial clusters of high and low Na:K ratio, Na, and K intakes. These findings could guide prioritized place-based interventions tailored to the characteristics of the identified populations.https://www.mdpi.com/2072-6643/13/6/1798geospatial analysissodiumpotassiumGWRsocial determinants of healthGIS |
| spellingShingle | David De Ridder Fabiën N. Belle Pedro Marques-Vidal Belén Ponte Murielle Bochud Silvia Stringhini Stéphane Joost Idris Guessous Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study Nutrients geospatial analysis sodium potassium GWR social determinants of health GIS |
| title | Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study |
| title_full | Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study |
| title_fullStr | Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study |
| title_full_unstemmed | Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study |
| title_short | Geospatial Analysis of Sodium and Potassium Intake: A Swiss Population-Based Study |
| title_sort | geospatial analysis of sodium and potassium intake a swiss population based study |
| topic | geospatial analysis sodium potassium GWR social determinants of health GIS |
| url | https://www.mdpi.com/2072-6643/13/6/1798 |
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