Literature DB >> 30451471

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 Tamura1, Brian Elbel, Jessica K Athens, Pasquale E Rummo, Basile Chaix, Seann D Regan, Yazan A Al-Ajlouni, Dustin T Duncan.   

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.

Entities:  

Mesh:

Year:  2018        PMID: 30451471     DOI: 10.4081/gh.2018.712

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  5 in total

1.  An activity space approach to understanding how food access is associated with dietary intake and BMI among urban, low-income African American women.

Authors:  Ilana G Raskind; Michelle C Kegler; Amy Webb Girard; Anne L Dunlop; Michael R Kramer
Journal:  Health Place       Date:  2020-10-06       Impact factor: 4.078

Review 2.  Obesity and the Built Environment: A Reappraisal.

Authors:  Adam Drewnowski; James Buszkiewicz; Anju Aggarwal; Chelsea Rose; Shilpi Gupta; Annie Bradshaw
Journal:  Obesity (Silver Spring)       Date:  2019-11-28       Impact factor: 5.002

3.  Neighborhood Social Environment and Cardiovascular Disease Risk.

Authors:  Kosuke Tamura; Steven D Langerman; Joniqua N Ceasar; Marcus R Andrews; Malhaar Agrawal; Tiffany M Powell-Wiley
Journal:  Curr Cardiovasc Risk Rep       Date:  2019-03-08

4.  Neighborhood physical food environment and cardiovascular risk factors in India: Cross-sectional evidence from APCAPS.

Authors:  Yingjun Li; Poppy Alice Carson Mallinson; Nandita Bhan; Christopher Turner; Santhi Bhogadi; Chitra Sharma; Aastha Aggarwal; Bharati Kulkarni; Sanjay Kinra
Journal:  Environ Int       Date:  2019-08-29       Impact factor: 9.621

Review 5.  Social Determinants of Cardiovascular Disease.

Authors:  Tiffany M Powell-Wiley; Yvonne Baumer; Foster Osei Baah; Andrew S Baez; Nicole Farmer; Christa T Mahlobo; Mario A Pita; Kameswari A Potharaju; Kosuke Tamura; Gwenyth R Wallen
Journal:  Circ Res       Date:  2022-03-03       Impact factor: 17.367

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.