Barnett Tracie A, Ghenadenik Adrian E, Van Hulst Andraea, Contreras Gisele, Kestens Yan, Chaix Basile, Cloutier Marie-Soleil, Henderson Melanie
Department of Family Medicine, McGill University, Montreal, QC, Canada.
Centre de recherche du CHU Sainte-Justine, Montreal, QC, Canada.
Int J Obes (Lond). 2022 Mar;46(3):588-596. doi: 10.1038/s41366-021-01010-1. Epub 2021 Nov 30.
BACKGROUND/OBJECTIVES: Neighborhoods are complex, multidimensional systems. However, the interrelation between multiple neighborhood dimensions is seldom considered in relation to youth adiposity. We created a neighborhood typology using a range of built environment features and examined its association with adiposity in youth.
SUBJECTS/METHODS: Analyses are based on data from the QUALITY cohort, an ongoing study on the natural history of obesity in Quebec youth with a history of parental obesity. Adiposity was measured at baseline (8-10 years) and follow up, ~8 years later. Neighborhood features were measured at baseline through in-person neighborhood assessments and geocoded administrative data and were summarized using principal components analysis. Neighborhood types were identified using cluster analysis. Associations between neighborhood types and adiposity were examined using multivariable linear regressions.
Five distinct neighborhood types characterized by levels of walkability and traffic-related safety were identified. At ages 8-10 years, children in moderate walkability/low safety neighborhoods had higher BMI Z-scores [β: 0.41 (0.12; 0.71), p = 0.007], fat mass index [β: 1.22 (0.29; 2.16), p = 0.010], waist circumference [β: 4.92 (1.63; 8.21), p = 0.003], and central fat mass percentage [β: 1.60 (0.04; 3.16), p = 0.045] than those residing in moderate walkability/high safety neighborhoods. Attenuated associations were observed between neighborhood types and adiposity 8 years later. Specifically, residents of moderate walkability/low safety neighborhoods had a higher FMI [β: 1.42 (-0.07; 2.90), p = 0.062], and waist circumference [β: 5.04 (-0.26; 10.34), p = 0.062].
Neighborhoods characterized by lower traffic safety appear to be the most obesogenic to children, regardless of other walkability-related features. Policies targeting neighborhood walkability for children may need to prioritize vehicular traffic safety.
背景/目的:社区是复杂的多维度系统。然而,在探讨青少年肥胖问题时,很少考虑多个社区维度之间的相互关系。我们利用一系列建成环境特征创建了一种社区类型,并研究了其与青少年肥胖的关联。
对象/方法:分析基于QUALITY队列研究的数据,该研究是一项正在进行的关于魁北克有父母肥胖史青少年肥胖自然史的研究。在基线时(8至10岁)和大约8年后的随访中测量肥胖情况。通过实地社区评估和地理编码行政数据在基线时测量社区特征,并使用主成分分析进行汇总。使用聚类分析确定社区类型。使用多变量线性回归研究社区类型与肥胖之间的关联。
确定了五种以步行便利性和交通相关安全性水平为特征的不同社区类型。在8至10岁时,居住在中等步行便利性/低安全性社区的儿童比居住在中等步行便利性/高安全性社区的儿童具有更高的BMI Z评分[β:0.41(0.12;0.71),p = 0.007]、脂肪量指数[β:1.22(0.29;2.16),p = 0.010]、腰围[β:4.92(1.63;8.21),p = 0.003]和中心脂肪量百分比[β:1.60(0.04;3.16),p = 0.045]。8年后观察到社区类型与肥胖之间的关联减弱。具体而言,居住在中等步行便利性/低安全性社区的居民具有更高的脂肪量指数[β:1.42(-0.07;2.90),p = 0.062]和腰围[β:5.04(-0.26;10.34),p = 0.062]。
无论其他与步行便利性相关的特征如何,以较低交通安全为特征的社区似乎对儿童致肥胖性最强。针对儿童社区步行便利性的政策可能需要优先考虑车辆交通安全。