Literature DB >> 28386706

Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City.

Kosuke Tamura1, Brian Elbel2,3, Basile Chaix4,5, Seann D Regan2, Yazan A Al-Ajlouni2, Jessica K Athens2, Julie Meline4,5, Dustin T Duncan2.   

Abstract

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/km2) around participants' home and GPS-defined activity space neighborhoods. In fully-adjusted models, we examined associations of noise complaints density with BMI (kg/m2), 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/m2], 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.

Entities:  

Keywords:  Geographic information systems; Global positioning systems; Health disparities; Low-income housing residents; Neighborhood noise exposure

Mesh:

Year:  2017        PMID: 28386706      PMCID: PMC5630482          DOI: 10.1007/s10900-017-0344-5

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  35 in total

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4.  Assessing residential exposure to urban noise using environmental models: does the size of the local living neighborhood matter?

Authors:  Quentin M Tenailleau; Nadine Bernard; Sophie Pujol; Hélène Houot; Daniel Joly; Frédéric Mauny
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-05-28       Impact factor: 5.563

5.  Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City.

Authors:  Dustin T Duncan; Ryan R Ruff; Basile Chaix; Seann D Regan; James H Williams; Joseph Ravenell; Marie A Bragg; Gbenga Ogedegbe; Brian Elbel
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6.  Activity space environment and dietary and physical activity behaviors: a pilot study.

Authors:  Shannon N Zenk; Amy J Schulz; Stephen A Matthews; Angela Odoms-Young; JoEllen Wilbur; Lani Wegrzyn; Kevin Gibbs; Carol Braunschweig; Carmen Stokes
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7.  Prevalence of doctor-diagnosed arthritis and arthritis-attributable activity limitation --- United States, 2007-2009.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2010-10-08       Impact factor: 17.586

8.  Cardiovascular disease among Black Americans: comparisons between the U.S. Virgin Islands and the 50 U.S. states.

Authors:  Hedwig Lee; Kiarri N Kershaw; Margaret T Hicken; Cleopatra M Abdou; Eric S Williams; Nereida Rivera-O'Reilly; James S Jackson
Journal:  Public Health Rep       Date:  2013 May-Jun       Impact factor: 2.792

9.  Using GPS technology to (re)-examine operational definitions of 'neighbourhood' in place-based health research.

Authors:  Bryan J Boruff; Andrea Nathan; Sandra Nijënstein
Journal:  Int J Health Geogr       Date:  2012-06-27       Impact factor: 3.918

10.  Feasibility and Acceptability of Global Positioning System (GPS) Methods to Study the Spatial Contexts of Substance Use and Sexual Risk Behaviors among Young Men Who Have Sex with Men in New York City: A P18 Cohort Sub-Study.

Authors:  Dustin T Duncan; Farzana Kapadia; Seann D Regan; William C Goedel; Michael D Levy; Staci C Barton; Samuel R Friedman; Perry N Halkitis
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

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  2 in total

Review 1.  Obesity and the Built Environment: A Reappraisal.

Authors:  Adam Drewnowski; James Buszkiewicz; Anju Aggarwal; Chelsea Rose; Shilpi Gupta; Annie Bradshaw
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2.  An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago.

Authors:  Jue Wang; Mei-Po Kwan; Yanwei Chai
Journal:  Int J Environ Res Public Health       Date:  2018-04-09       Impact factor: 3.390

  2 in total

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