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Development of a neighborhood obesogenic built environment characteristics index for the Netherlands

OBJECTIVE: Environmental factors that drive obesity are often studied individually, whereas obesogenic environments are likely to consist of multiple factors from food and physical activity (PA) environments. This study aimed to compose and describe a comprehensive, theory‐based, expert‐informed ind...

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Autores principales: Lam, Thao Minh, Wagtendonk, Alfred J., den Braver, Nicolette R., Karssenberg, Derek, Vaartjes, Ilonca, Timmermans, Erik J., Beulens, Joline W. J., Lakerveld, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108038/
https://www.ncbi.nlm.nih.gov/pubmed/36541154
http://dx.doi.org/10.1002/oby.23610
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author Lam, Thao Minh
Wagtendonk, Alfred J.
den Braver, Nicolette R.
Karssenberg, Derek
Vaartjes, Ilonca
Timmermans, Erik J.
Beulens, Joline W. J.
Lakerveld, Jeroen
author_facet Lam, Thao Minh
Wagtendonk, Alfred J.
den Braver, Nicolette R.
Karssenberg, Derek
Vaartjes, Ilonca
Timmermans, Erik J.
Beulens, Joline W. J.
Lakerveld, Jeroen
author_sort Lam, Thao Minh
collection PubMed
description OBJECTIVE: Environmental factors that drive obesity are often studied individually, whereas obesogenic environments are likely to consist of multiple factors from food and physical activity (PA) environments. This study aimed to compose and describe a comprehensive, theory‐based, expert‐informed index to quantify obesogenicity for all neighborhoods in the Netherlands. METHODS: The Obesogenic Built Environment CharacterisTics (OBCT) index consists of 17 components. The index was calculated as an average of componential scores across both food and PA environments and was scaled from 0 to 100. The index was visualized and summarized with sensitivity analysis for weighting methods. RESULTS: The OBCT index for all 12,821 neighborhoods was right‐skewed, with a median of 44.6 (IQR = 10.1). Obesogenicity was lower in more urbanized neighborhoods except for the extremely urbanized neighborhoods (>2500 addresses/km(2)), where obesogenicity was highest. The overall OBCT index score was moderately correlated with the food environment (Spearman ρ = 0.55, p <0.05) and with the PA environment (ρ = 0.38, p <0.05). Hierarchical weighting increased index correlations with the PA environment but decreased correlations with the food environment. CONCLUSIONS: The novel OBCT index and its comprehensive environmental scores are potentially useful tools to quantify obesogenicity of neighborhoods.
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spelling pubmed-101080382023-04-18 Development of a neighborhood obesogenic built environment characteristics index for the Netherlands Lam, Thao Minh Wagtendonk, Alfred J. den Braver, Nicolette R. Karssenberg, Derek Vaartjes, Ilonca Timmermans, Erik J. Beulens, Joline W. J. Lakerveld, Jeroen Obesity (Silver Spring) ORIGINAL ARTICLES OBJECTIVE: Environmental factors that drive obesity are often studied individually, whereas obesogenic environments are likely to consist of multiple factors from food and physical activity (PA) environments. This study aimed to compose and describe a comprehensive, theory‐based, expert‐informed index to quantify obesogenicity for all neighborhoods in the Netherlands. METHODS: The Obesogenic Built Environment CharacterisTics (OBCT) index consists of 17 components. The index was calculated as an average of componential scores across both food and PA environments and was scaled from 0 to 100. The index was visualized and summarized with sensitivity analysis for weighting methods. RESULTS: The OBCT index for all 12,821 neighborhoods was right‐skewed, with a median of 44.6 (IQR = 10.1). Obesogenicity was lower in more urbanized neighborhoods except for the extremely urbanized neighborhoods (>2500 addresses/km(2)), where obesogenicity was highest. The overall OBCT index score was moderately correlated with the food environment (Spearman ρ = 0.55, p <0.05) and with the PA environment (ρ = 0.38, p <0.05). Hierarchical weighting increased index correlations with the PA environment but decreased correlations with the food environment. CONCLUSIONS: The novel OBCT index and its comprehensive environmental scores are potentially useful tools to quantify obesogenicity of neighborhoods. John Wiley and Sons Inc. 2022-12-21 2023-01 /pmc/articles/PMC10108038/ /pubmed/36541154 http://dx.doi.org/10.1002/oby.23610 Text en © 2022 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle ORIGINAL ARTICLES
Lam, Thao Minh
Wagtendonk, Alfred J.
den Braver, Nicolette R.
Karssenberg, Derek
Vaartjes, Ilonca
Timmermans, Erik J.
Beulens, Joline W. J.
Lakerveld, Jeroen
Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
title Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
title_full Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
title_fullStr Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
title_full_unstemmed Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
title_short Development of a neighborhood obesogenic built environment characteristics index for the Netherlands
title_sort development of a neighborhood obesogenic built environment characteristics index for the netherlands
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108038/
https://www.ncbi.nlm.nih.gov/pubmed/36541154
http://dx.doi.org/10.1002/oby.23610
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