Méline Julie, Chaix Basile, Pannier Bruno, Ogedegbe Gbenga, Trasande Leonardo, Athens Jessica, Duncan Dustin T
Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Pierre Louis Institute of Epidemiology and Public Health, 1 rue Victor Cousin, 75230, 05, Paris cedex, France.
Inserm, UMR_S 1136, Pierre Louis Institute of Epidemiology and Public Health, 56, boulevard Vincent Auriol CS 81393, 75646, Paris Cedex 13, France.
BMC Public Health. 2017 Dec 19;17(1):960. doi: 10.1186/s12889-017-4962-8.
Walkable neighborhoods are purported to impact a range of cardiometabolic outcomes through increased walking, but there is limited research that examines multiple cardiometabolic outcomes. Additionally, few Walk Score (a novel measure of neighborhood walkability) studies have been conducted in a European context. We evaluated associations between neighborhood Walk Score and selected cardiometabolic outcomes, including obesity, hypertension and heart rate, among adults in the Paris metropolitan area.
We used data from the second wave of the RECORD Study on 5993 participants recruited in 2011-2014, aged 34-84 years, and residing in Paris (France). To this existing dataset, we added Walk Score values for participants' residential address. We used multilevel linear models for the continuous outcomes and modified Poisson models were used for our categorical outcomes to estimate associations between the neighborhood Walk Score (both as a continuous and categorical variable) (0-100 score) and body mass index (BMI) (weight/height in kg/m), obesity (kg/m), waist circumference (cm), systolic blood pressure (SBP) (mmHg), diastolic blood pressure (DBP) (mmHg), hypertension (mmHg), resting heart rate (RHR) (beats per minute), and neighborhood recreational walking (minutes per week). Most participants lived in Walker's Paradise (48.3%). In multivariate models (adjusted for individual variables, neighborhood variables, and risk factors for cardiometabolic outcomes), we found that neighborhood Walk Score was associated with decreased BMI (β: -0.010, 95% CI: -0.019 to -0.002 per unit increase), decreased waist circumference (β: -0.031, 95% CI: -0.054 to -0.008), increased neighborhood recreational walking (β: +0.73, 95% CI: +0.37 to +1.10), decreased SBP (β: -0.030, 95% CI: -0.063 to -0.0004), decreased DBP (β: -0.028, 95% CI: -0.047 to -0.008), and decreased resting heart rate (β: -0.026 95% CI: -0.046 to -0.005).
In this large population-based study, we found that, even in a European context, living in a highly walkable neighborhood was associated with improved cardiometabolic health. Designing walkable neighborhoods may be a viable strategy in reducing cardiovascular disease prevalence at the population level.
适宜步行的社区据称可通过增加步行量来影响一系列心脏代谢指标,但研究多种心脏代谢指标的研究有限。此外,在欧洲背景下,很少有关于步行指数(一种衡量社区步行适宜性的新指标)的研究。我们评估了巴黎大都市区成年人的社区步行指数与选定的心脏代谢指标之间的关联,这些指标包括肥胖、高血压和心率。
我们使用了2011 - 2014年招募的5993名年龄在34 - 84岁、居住在法国巴黎的RECORD研究第二波数据。我们为参与者的居住地址添加了步行指数值。对于连续型指标,我们使用多水平线性模型;对于分类指标,我们使用修正的泊松模型来估计社区步行指数(作为连续变量和分类变量,分数范围为0 - 100)与体重指数(BMI,体重/身高,单位为kg/m²)、肥胖(kg/m²)、腰围(cm)、收缩压(SBP,单位为mmHg)、舒张压(DBP,单位为mmHg)、高血压(mmHg)、静息心率(RHR,每分钟心跳次数)以及社区休闲步行量(每周分钟数)之间的关联。大多数参与者居住在“步行者天堂”区域(48.3%)。在多变量模型中(对个体变量、社区变量和心脏代谢指标的风险因素进行了调整),我们发现社区步行指数与降低的BMI(β:-0.010,95%置信区间:每单位增加-0.019至-0.002)、减小的腰围(β:-0.031,95%置信区间:-0.054至-0.008)、增加的社区休闲步行量(β:+0.73,95%置信区间:+0.37至+1.10)、降低的SBP(β:-0.030,95%置信区间:-0.063至-[-0.0004])、降低的DBP(β:-0.028,95%置信区间:-0.047至-0.008)以及降低的静息心率(β:-0.026,95%置信区间:-0.046至-0.005)相关。
在这项基于大量人群的研究中,我们发现,即使在欧洲背景下,居住在步行适宜性高的社区与改善心脏代谢健康相关。设计适宜步行的社区可能是在人群层面降低心血管疾病患病率的可行策略。