Department of Population Health, New York University School of Medicine, 227 East 30th Street, 6th Floor, New York, NY, 10016, USA.
Wagner Graduate School of Public Service, New York University, New York, NY, USA.
J Community Health. 2017 Oct;42(5):974-982. doi: 10.1007/s10900-017-0344-5.
Little is known about how neighborhood noise influences cardiovascular disease (CVD) risk among low-income populations. The aim of this study was to investigate associations between neighborhood noise complaints and body mass index (BMI) and blood pressure (BP) among low-income housing residents in New York City (NYC), including the use of global positioning system (GPS) data. Data came from the NYC Low-Income Housing, Neighborhoods and Health Study in 2014, including objectively measured BMI and BP data (N = 102, Black = 69%), and 1 week of GPS data. Noise reports from "NYC 311" were used to create a noise complaints density (unit: 1000 reports/km) around participants' home and GPS-defined activity space neighborhoods. In fully-adjusted models, we examined associations of noise complaints density with BMI (kg/m), and systolic and diastolic BP (mmHg), controlling for individual- and neighborhood-level socio-demographics. We found inverse relationships between home noise density and BMI (B = -2.7 [kg/m], p = 0.009), and systolic BP (B = -5.3 mmHg, p = 0.008) in the fully-adjusted models, and diastolic BP (B = -3.9 mmHg, p = 0.013) in age-adjusted models. Using GPS-defined activity space neighborhoods, we observed inverse associations between noise density and systolic BP (B = -10.3 mmHg, p = 0.019) in fully-adjusted models and diastolic BP (B = -7.5 mmHg, p = 0.016) in age-adjusted model, but not with BMI. The inverse associations between neighborhood noise and CVD risk factors were unexpected. Further investigation is needed to determine if these results are affected by unobserved confounding (e.g., variations in walkability). Examining how noise could be related to CVD risk could inform effective neighborhood intervention programs for CVD risk reduction.
关于邻里噪声如何影响低收入人群的心血管疾病 (CVD) 风险,人们知之甚少。本研究旨在调查纽约市 (NYC) 低收入住房居民的邻里噪声投诉与体重指数 (BMI) 和血压 (BP) 之间的关联,包括使用全球定位系统 (GPS) 数据。数据来自 2014 年的纽约市低收入住房、社区和健康研究,包括客观测量的 BMI 和 BP 数据(N=102,黑人=69%)和 1 周的 GPS 数据。使用“NYC 311”的噪声报告来创建参与者家庭和 GPS 定义的活动空间社区周围的噪声投诉密度(单位:1000 份报告/km)。在完全调整的模型中,我们控制了个体和社区层面的社会人口统计学因素,检验了噪声投诉密度与 BMI(kg/m)以及收缩压和舒张压 (mmHg) 的关联。我们发现,在完全调整的模型中,家庭噪声密度与 BMI(B=-2.7 [kg/m],p=0.009)和收缩压(B=-5.3mmHg,p=0.008)呈负相关,在年龄调整模型中与舒张压(B=-3.9mmHg,p=0.013)呈负相关。使用 GPS 定义的活动空间社区,我们观察到在完全调整的模型中,噪声密度与收缩压(B=-10.3mmHg,p=0.019)呈负相关,在年龄调整模型中与舒张压(B=-7.5mmHg,p=0.016)呈负相关,但与 BMI 无关。邻里噪声与 CVD 危险因素之间的负相关关系出人意料。需要进一步研究以确定这些结果是否受到未观察到的混杂因素(例如,可步行性的变化)的影响。研究噪声如何与 CVD 风险相关,可以为减少 CVD 风险的有效社区干预计划提供信息。