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

被引:6
作者
Lam, Thao Minh [1 ,2 ,3 ,6 ]
Wagtendonk, Alfred J. [1 ,2 ,3 ]
den Braver, Nicolette R. [1 ,2 ,3 ]
Karssenberg, Derek [4 ]
Vaartjes, Ilonca [5 ]
Timmermans, Erik J. [5 ]
Beulens, Joline W. J. [1 ,2 ,5 ]
Lakerveld, Jeroen [1 ,2 ,3 ]
机构
[1] Vrije Univ Amsterdam, Amsterdam Univ Med Ctr, Dept Epidemiol & Data Sci, Amsterdam, Netherlands
[2] Amsterdam Publ Hlth, Hlth Behav & Chron Dis, Amsterdam, Netherlands
[3] Vrije Univ Amsterdam, Amsterdam Univ Med Ctr, Upstream Team, Amsterdam, Netherlands
[4] Univ Utrecht, Fac Geosci, Dept Phys Geog, Utrecht, Netherlands
[5] Univ Utrecht, Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[6] Vrije Univ Amsterdam, Amsterdam Univ Med Ctr, Dept Epidemiol &Data Sci, De Boelelaan 1117, Amsterdam, Netherlands
关键词
FOOD ENVIRONMENT; DIET QUALITY; FRAMEWORK; ASSOCIATIONS; EXPOSURE; OBESITY;
D O I
10.1002/oby.23610
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
ObjectiveEnvironmental 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. MethodsThe 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. ResultsThe 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 rho = 0.55, p <0.05) and with the PA environment (rho = 0.38, p <0.05). Hierarchical weighting increased index correlations with the PA environment but decreased correlations with the food environment. ConclusionsThe novel OBCT index and its comprehensive environmental scores are potentially useful tools to quantify obesogenicity of neighborhoods.
引用
收藏
页码:214 / 224
页数:11
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