Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City

Kosuke Tamura, Brian D. Elbel, Jessica K. Athens, Pasquale E. Rummo, Basile Chaix, Seann D. Regan, Yazan A. Al-Ajlouni, Dustin Duncan

Research output: Contribution to journalArticle

Abstract

Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P<0.05), and systolic and diastolic BP (β =-1.16 mm Hg; and β=-1.02 mm Hg, P<0.01, respectively). In contrast, a higher supermarket density was associated with higher systolic and diastolic BP (β=1.74 mm Hg, P<0.05; and β=1.68, P<0.01, respectively) within residential buffers. In GPS neighbourhoods, no associations were documented. Examining how food environments are associated with CVD risk and how differences in relationships vary by buffer types have the potential to shed light on determinants of CVD risk. Further research is needed to investigate these relationships, including refined measures of spatial accessibility/exposure, considering individual's mobility.

Original languageEnglish (US)
JournalGeospatial health
Volume13
Issue number2
DOIs
StatePublished - Nov 9 2018

Fingerprint

low income housing
Geographic Information Systems
Hypotension
body mass
Body Mass Index
low income
GPS
blood
housing
resident
food
Blood Pressure
Food
Buffers
cardiovascular disease
Restaurants
Cardiovascular Diseases
Disease
Fast Foods
population density

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health(social science)
  • Geography, Planning and Development
  • Health Policy

Cite this

Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City. / Tamura, Kosuke; Elbel, Brian D.; Athens, Jessica K.; Rummo, Pasquale E.; Chaix, Basile; Regan, Seann D.; Al-Ajlouni, Yazan A.; Duncan, Dustin.

In: Geospatial health, Vol. 13, No. 2, 09.11.2018.

Research output: Contribution to journalArticle

@article{ce8aaf2cad834c1c836401603fa8bd69,
title = "Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City",
abstract = "Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P<0.05), and systolic and diastolic BP (β =-1.16 mm Hg; and β=-1.02 mm Hg, P<0.01, respectively). In contrast, a higher supermarket density was associated with higher systolic and diastolic BP (β=1.74 mm Hg, P<0.05; and β=1.68, P<0.01, respectively) within residential buffers. In GPS neighbourhoods, no associations were documented. Examining how food environments are associated with CVD risk and how differences in relationships vary by buffer types have the potential to shed light on determinants of CVD risk. Further research is needed to investigate these relationships, including refined measures of spatial accessibility/exposure, considering individual's mobility.",
author = "Kosuke Tamura and Elbel, {Brian D.} and Athens, {Jessica K.} and Rummo, {Pasquale E.} and Basile Chaix and Regan, {Seann D.} and Al-Ajlouni, {Yazan A.} and Dustin Duncan",
year = "2018",
month = "11",
day = "9",
doi = "10.4081/gh.2018.712",
language = "English (US)",
volume = "13",
journal = "Geospatial health",
issn = "1827-1987",
publisher = "University of Naples Federico II",
number = "2",

}

TY - JOUR

T1 - Assessments of residential and global positioning system activity space for food environments, body mass index and blood pressure among low-income housing residents in New York City

AU - Tamura, Kosuke

AU - Elbel, Brian D.

AU - Athens, Jessica K.

AU - Rummo, Pasquale E.

AU - Chaix, Basile

AU - Regan, Seann D.

AU - Al-Ajlouni, Yazan A.

AU - Duncan, Dustin

PY - 2018/11/9

Y1 - 2018/11/9

N2 - Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P<0.05), and systolic and diastolic BP (β =-1.16 mm Hg; and β=-1.02 mm Hg, P<0.01, respectively). In contrast, a higher supermarket density was associated with higher systolic and diastolic BP (β=1.74 mm Hg, P<0.05; and β=1.68, P<0.01, respectively) within residential buffers. In GPS neighbourhoods, no associations were documented. Examining how food environments are associated with CVD risk and how differences in relationships vary by buffer types have the potential to shed light on determinants of CVD risk. Further research is needed to investigate these relationships, including refined measures of spatial accessibility/exposure, considering individual's mobility.

AB - Research has examined how the food environment affects the risk of cardiovascular disease (CVD). Many studies have focused on residential neighbourhoods, neglecting the activity spaces of individuals. The objective of this study was to investigate whether food environments in both residential and global positioning system (GPS)-defined activity space buffers are associated with body mass index (BMI) and blood pressure (BP) among low-income adults. Data came from the New York City Low Income Housing, Neighborhoods and Health Study, including BMI and BP data (n=102, age=39.3±14.1 years), and one week of GPS data. Five food environment variables around residential and GPS buffers included: fast-food restaurants, wait-service restaurants, corner stores, grocery stores, and supermarkets. We examined associations between food environments and BMI, systolic and diastolic BP, controlling for individual- and neighbourhood-level sociodemographics and population density. Within residential buffers, a higher grocery store density was associated with lower BMI (β=- 0.20 kg/m2, P<0.05), and systolic and diastolic BP (β =-1.16 mm Hg; and β=-1.02 mm Hg, P<0.01, respectively). In contrast, a higher supermarket density was associated with higher systolic and diastolic BP (β=1.74 mm Hg, P<0.05; and β=1.68, P<0.01, respectively) within residential buffers. In GPS neighbourhoods, no associations were documented. Examining how food environments are associated with CVD risk and how differences in relationships vary by buffer types have the potential to shed light on determinants of CVD risk. Further research is needed to investigate these relationships, including refined measures of spatial accessibility/exposure, considering individual's mobility.

UR - http://www.scopus.com/inward/record.url?scp=85056727899&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056727899&partnerID=8YFLogxK

U2 - 10.4081/gh.2018.712

DO - 10.4081/gh.2018.712

M3 - Article

VL - 13

JO - Geospatial health

JF - Geospatial health

SN - 1827-1987

IS - 2

ER -