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Erschienen in: Journal of Community Health 5/2017

06.04.2017 | Original Paper

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

verfasst von: Kosuke Tamura, Brian Elbel, Basile Chaix, Seann D. Regan, Yazan A. Al-Ajlouni, Jessica K. Athens, Julie Meline, Dustin T. Duncan

Erschienen in: Journal of Community Health | Ausgabe 5/2017

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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.
Literatur
1.
Zurück zum Zitat Lewington, S., et al. (2002). Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet, 360(9349), 1903–1913.CrossRefPubMed Lewington, S., et al. (2002). Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet, 360(9349), 1903–1913.CrossRefPubMed
2.
Zurück zum Zitat National Center for Health Statistics, Health, United States, 2015 (2016). With special feature on racial and ethnic health disparities. Hyattsville, MD: National Center for Health Statistics. National Center for Health Statistics, Health, United States, 2015 (2016). With special feature on racial and ethnic health disparities. Hyattsville, MD: National Center for Health Statistics.
3.
Zurück zum Zitat Centers for Disease Control and Prevention (2010). Prevalence of doctor-diagnosed arthritis and arthritis-attributable activity limitation—United States, 2007–2009. MMWR Morbidity and Mortality Weekly Report, 59(39), 261–265. Centers for Disease Control and Prevention (2010). Prevalence of doctor-diagnosed arthritis and arthritis-attributable activity limitation—United States, 2007–2009. MMWR Morbidity and Mortality Weekly Report, 59(39), 261–265.
4.
Zurück zum Zitat Centers for Disease Control and Prevention (2010). Vital signs: State-specific obesity prevalence among adults—United States, 2009. MMWR Morbidity and Mortality Weekly Report, 59(30), 951–955. Centers for Disease Control and Prevention (2010). Vital signs: State-specific obesity prevalence among adults—United States, 2009. MMWR Morbidity and Mortality Weekly Report, 59(30), 951–955.
5.
Zurück zum Zitat Centers for Disease Control and Prevention (2011). Vital signs: Prevalence, treatment, and control of hypertension—United States, 1999–2002 and 2005–2008. MMWR Morbidity and Mortality Weekly Report, 60(4), 103–108. Centers for Disease Control and Prevention (2011). Vital signs: Prevalence, treatment, and control of hypertension—United States, 1999–2002 and 2005–2008. MMWR Morbidity and Mortality Weekly Report, 60(4), 103–108.
6.
Zurück zum Zitat Puhl, R. M., & Heuer, C. A. (2010). Obesity stigma: important considerations for public health. American Journal of Public health, 100(6), 1019–1028.CrossRefPubMedPubMedCentral Puhl, R. M., & Heuer, C. A. (2010). Obesity stigma: important considerations for public health. American Journal of Public health, 100(6), 1019–1028.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Lee, H., et al. (2013). Cardiovascular Disease Among Black Americans: Comparisons between the US Virgin Islands and the 50 US States. Public Health Reports, 128(3), 170–178.CrossRefPubMedPubMedCentral Lee, H., et al. (2013). Cardiovascular Disease Among Black Americans: Comparisons between the US Virgin Islands and the 50 US States. Public Health Reports, 128(3), 170–178.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Sommer, I., et al. (2015) Socioeconomic inequalities in non-communicable diseases and their risk factors: an overview of systematic reviews. BMC Public Health, 15, 914.CrossRefPubMedPubMedCentral Sommer, I., et al. (2015) Socioeconomic inequalities in non-communicable diseases and their risk factors: an overview of systematic reviews. BMC Public Health, 15, 914.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Sallis, J. F., & Glanz, K. (2009). Physical activity and food environments: Solutions to the obesity epidemic. The Milbank Quarterly, 87(1), 123–154.CrossRefPubMedPubMedCentral Sallis, J. F., & Glanz, K. (2009). Physical activity and food environments: Solutions to the obesity epidemic. The Milbank Quarterly, 87(1), 123–154.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Stokols, D. (1992). Establishing and maintaining healthy environments. Toward a social ecology of health promotion. The American Psychologist, 47(1), 6–22.CrossRefPubMed Stokols, D. (1992). Establishing and maintaining healthy environments. Toward a social ecology of health promotion. The American Psychologist, 47(1), 6–22.CrossRefPubMed
11.
Zurück zum Zitat Stokols, D. (2000). Social ecology and behavioral medicine: Implications for training, practice, and policy. Behavioral Medicine, 26(3), 129–138.CrossRefPubMed Stokols, D. (2000). Social ecology and behavioral medicine: Implications for training, practice, and policy. Behavioral Medicine, 26(3), 129–138.CrossRefPubMed
12.
Zurück zum Zitat Barber, S., et al. (2016). Double-jeopardy: The joint impact of neighborhood disadvantage and low social cohesion on cumulative risk of disease among African American men and women in the Jackson Heart Study. Social Science and Medicine, 153, 107–115.CrossRefPubMedPubMedCentral Barber, S., et al. (2016). Double-jeopardy: The joint impact of neighborhood disadvantage and low social cohesion on cumulative risk of disease among African American men and women in the Jackson Heart Study. Social Science and Medicine, 153, 107–115.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Rachele, J. N., Giles-Corti, B., & Turrell, G. (2016). Neighbourhood disadvantage and self-reported type 2 diabetes, heart disease and comorbidity: A cross-sectional multilevel study. Annals of Epidemiology, 26(2), 146–150.CrossRefPubMed Rachele, J. N., Giles-Corti, B., & Turrell, G. (2016). Neighbourhood disadvantage and self-reported type 2 diabetes, heart disease and comorbidity: A cross-sectional multilevel study. Annals of Epidemiology, 26(2), 146–150.CrossRefPubMed
14.
Zurück zum Zitat Dzhambov, A. M., & Dimitrova, D. D. (2016) Long-term self-reported exposure to occupational noise is associated with BMI-defined obesity in the US general population. American Journal of Industrial Medicine, 59(11), 1009–1019.CrossRefPubMed Dzhambov, A. M., & Dimitrova, D. D. (2016) Long-term self-reported exposure to occupational noise is associated with BMI-defined obesity in the US general population. American Journal of Industrial Medicine, 59(11), 1009–1019.CrossRefPubMed
15.
Zurück zum Zitat Dzhambov, A. M., & Dimitrova, D. D. (2015). Road traffic noise exposure association with self-reported body mass index. Noise Control Engineering Journal, 63(6), 572–581.CrossRef Dzhambov, A. M., & Dimitrova, D. D. (2015). Road traffic noise exposure association with self-reported body mass index. Noise Control Engineering Journal, 63(6), 572–581.CrossRef
16.
Zurück zum Zitat Pyko, A., et al. (2015). Exposure to traffic noise and markers of obesity. Occupational and Environmental Medicine, 72(8), 594–601.CrossRefPubMed Pyko, A., et al. (2015). Exposure to traffic noise and markers of obesity. Occupational and Environmental Medicine, 72(8), 594–601.CrossRefPubMed
17.
Zurück zum Zitat Meline, J., et al. (2015). Road, rail, and air transportation noise in residential and workplace neighborhoods and blood pressure (RECORD Study). Noise and Health, 17(78), 308–319.CrossRefPubMedPubMedCentral Meline, J., et al. (2015). Road, rail, and air transportation noise in residential and workplace neighborhoods and blood pressure (RECORD Study). Noise and Health, 17(78), 308–319.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Eriksson, C., et al. (2014). Long-term aircraft noise exposure and body mass index, waist circumference, and type 2 diabetes: a prospective study. Environmental Health Perspectives, 122(7), 687–694.PubMedPubMedCentral Eriksson, C., et al. (2014). Long-term aircraft noise exposure and body mass index, waist circumference, and type 2 diabetes: a prospective study. Environmental Health Perspectives, 122(7), 687–694.PubMedPubMedCentral
19.
Zurück zum Zitat Brownson, R. C., et al. (2009). Measuring the built environment for physical activity: State of the science. American Journal of Preventive Medicine, 36(4 Suppl), S99–123 e12.CrossRefPubMedPubMedCentral Brownson, R. C., et al. (2009). Measuring the built environment for physical activity: State of the science. American Journal of Preventive Medicine, 36(4 Suppl), S99–123 e12.CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Chaix, B. (2009). Geographic life environments and coronary heart disease: A literature review, theoretical contributions, methodological updates, and a research agenda. Annual review of Public Health, 30, 81–105.CrossRefPubMed Chaix, B. (2009). Geographic life environments and coronary heart disease: A literature review, theoretical contributions, methodological updates, and a research agenda. Annual review of Public Health, 30, 81–105.CrossRefPubMed
21.
Zurück zum Zitat Tenailleau, Q. M., et al. (2015). Assessing residential exposure to urban noise using environmental models: Does the size of the local living neighborhood matter? Journal of Exposure Science and Environmental Epidemiology, 25(1), 89–96.CrossRefPubMed Tenailleau, Q. M., et al. (2015). Assessing residential exposure to urban noise using environmental models: Does the size of the local living neighborhood matter? Journal of Exposure Science and Environmental Epidemiology, 25(1), 89–96.CrossRefPubMed
22.
Zurück zum Zitat Kheirbek, I., et al. (2014). Spatial variation in environmental noise and air pollution in New York City. Journal of Urban Health, 91(3), 415–431.CrossRefPubMedPubMedCentral Kheirbek, I., et al. (2014). Spatial variation in environmental noise and air pollution in New York City. Journal of Urban Health, 91(3), 415–431.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Boruff, B.J., A. Nathan, & S. Nijenstein (2012) Using GPS technology to (re)-examine operational definitions of ‘neighbourhood’ in place-based health research. International Journal of Health Geographics, 11, 22.CrossRefPubMedPubMedCentral Boruff, B.J., A. Nathan, & S. Nijenstein (2012) Using GPS technology to (re)-examine operational definitions of ‘neighbourhood’ in place-based health research. International Journal of Health Geographics, 11, 22.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Chaix, B., et al. (2013). GPS tracking in neighborhood and health studies: a step forward for environmental exposure assessment, a step backward for causal inference? Health and place, 21, 46–51.CrossRefPubMed Chaix, B., et al. (2013). GPS tracking in neighborhood and health studies: a step forward for environmental exposure assessment, a step backward for causal inference? Health and place, 21, 46–51.CrossRefPubMed
25.
Zurück zum Zitat Duncan, D. T., et al. (2014). Examination of how neighborhood definition influences measurements of youths access to tobacco retailers: A methodological note on spatial misclassification. American Journal of Epidemiology, 179(3), 373–381.CrossRefPubMed Duncan, D. T., et al. (2014). Examination of how neighborhood definition influences measurements of youths access to tobacco retailers: A methodological note on spatial misclassification. American Journal of Epidemiology, 179(3), 373–381.CrossRefPubMed
26.
Zurück zum Zitat Duncan, D. T., et al. (2017). Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: A Global Positioning System (GPS) study. Annals of Epidemiology, 27(1), 67–75.CrossRefPubMed Duncan, D. T., et al. (2017). Quantifying spatial misclassification in exposure to noise complaints among low-income housing residents across New York City neighborhoods: A Global Positioning System (GPS) study. Annals of Epidemiology, 27(1), 67–75.CrossRefPubMed
27.
Zurück zum Zitat Duncan, D. T., et al. (2014). Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: A spatial feasibility study. Geospatial Health, 9(1), 57–70.CrossRefPubMedPubMedCentral Duncan, D. T., et al. (2014). Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: A spatial feasibility study. Geospatial Health, 9(1), 57–70.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Duncan, D. T., & Regan, S. D. (2015) Mapping multi-day GPS data: a cartographic study in NYC. Journal of Maps, 12, 1–3. Duncan, D. T., & Regan, S. D. (2015) Mapping multi-day GPS data: a cartographic study in NYC. Journal of Maps, 12, 1–3.
29.
Zurück zum Zitat Duncan, D. T., et al. (2016). 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. PloS ONE, 11(2), e0147520.CrossRefPubMedPubMedCentral Duncan, D. T., et al. (2016). 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. PloS ONE, 11(2), e0147520.CrossRefPubMedPubMedCentral
30.
Zurück zum Zitat Zenk, S.N., et al.( 2011) Activity space environment and dietary and physical activity behaviors: A pilot study. Health and Place, 17(5), 1150–1161.CrossRefPubMedPubMedCentral Zenk, S.N., et al.( 2011) Activity space environment and dietary and physical activity behaviors: A pilot study. Health and Place, 17(5), 1150–1161.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Krenn, P. J., et al. (2011). Use of global positioning systems to study physical activity and the environment: a systematic review. American Journal of Preventive Medicine, 41(5), 508–515.CrossRefPubMed Krenn, P. J., et al. (2011). Use of global positioning systems to study physical activity and the environment: a systematic review. American Journal of Preventive Medicine, 41(5), 508–515.CrossRefPubMed
32.
Zurück zum Zitat Christian, W. J. (2012) Using geospatial technologies to explore activity-based retail food environments. Spatial and Spatio-Temporal Epidemiology, 3(4), 287–295.CrossRefPubMed Christian, W. J. (2012) Using geospatial technologies to explore activity-based retail food environments. Spatial and Spatio-Temporal Epidemiology, 3(4), 287–295.CrossRefPubMed
33.
Zurück zum Zitat Data, N.O., 311 Service Requests from 2010 to Present. 2016: NYC Open Data. Data, N.O., 311 Service Requests from 2010 to Present. 2016: NYC Open Data.
34.
Zurück zum Zitat Salamon, J., Jacoby, C., & Bello, J. P. (2014) A dataset and taxonomy for urban sound research: Proceedings of the ACM International Conference on Multimedia, ACM. Salamon, J., Jacoby, C., & Bello, J. P. (2014) A dataset and taxonomy for urban sound research: Proceedings of the ACM International Conference on Multimedia, ACM.
35.
Zurück zum Zitat Zheng, Y., et al. (2014) Diagnosing New York city’s noises with ubiquitous data: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM. Zheng, Y., et al. (2014) Diagnosing New York city’s noises with ubiquitous data: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM.
36.
Zurück zum Zitat Duncan, D. T., et al. (2016). Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City. Geospatial Health, 11(2), 399.CrossRefPubMed Duncan, D. T., et al. (2016). Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City. Geospatial Health, 11(2), 399.CrossRefPubMed
37.
Zurück zum Zitat Hess, P. L., et al. (2007). Barbershops as hypertension detection, referral, and follow-up centers for black men. Hypertension, 49(5), 1040–1046.CrossRefPubMed Hess, P. L., et al. (2007). Barbershops as hypertension detection, referral, and follow-up centers for black men. Hypertension, 49(5), 1040–1046.CrossRefPubMed
38.
Zurück zum Zitat Ravenell, J., et al. (2013). A novel community-based study to address disparities in hypertension and colorectal cancer: A study protocol for a randomized control trial. Trials, 14, 287.CrossRefPubMedPubMedCentral Ravenell, J., et al. (2013). A novel community-based study to address disparities in hypertension and colorectal cancer: A study protocol for a randomized control trial. Trials, 14, 287.CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat van Kempen, E. E. M. M., et al. (2002). The association between noise exposure and blood pressure and ischemic heart disease: A meta-analysis. Environmental Health Perspectives, 110(3), 307–317.CrossRefPubMedPubMedCentral van Kempen, E. E. M. M., et al. (2002). The association between noise exposure and blood pressure and ischemic heart disease: A meta-analysis. Environmental Health Perspectives, 110(3), 307–317.CrossRefPubMedPubMedCentral
40.
Metadaten
Titel
Residential and GPS-Defined Activity Space Neighborhood Noise Complaints, Body Mass Index and Blood Pressure Among Low-Income Housing Residents in New York City
verfasst von
Kosuke Tamura
Brian Elbel
Basile Chaix
Seann D. Regan
Yazan A. Al-Ajlouni
Jessica K. Athens
Julie Meline
Dustin T. Duncan
Publikationsdatum
06.04.2017
Verlag
Springer US
Erschienen in
Journal of Community Health / Ausgabe 5/2017
Print ISSN: 0094-5145
Elektronische ISSN: 1573-3610
DOI
https://doi.org/10.1007/s10900-017-0344-5

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