237 related articles for article (PubMed ID: 23736365)
1. Food environment and socioeconomic status influence obesity rates in Seattle and in Paris.
Drewnowski A; Moudon AV; Jiao J; Aggarwal A; Charreire H; Chaix B
Int J Obes (Lond); 2014 Feb; 38(2):306-14. PubMed ID: 23736365
[TBL] [Abstract][Full Text] [Related]
2. Obesity and supermarket access: proximity or price?
Drewnowski A; Aggarwal A; Hurvitz PM; Monsivais P; Moudon AV
Am J Public Health; 2012 Aug; 102(8):e74-80. PubMed ID: 22698052
[TBL] [Abstract][Full Text] [Related]
3. The impact of area residential property values on self-rated health: A cross-sectional comparative study of Seattle and Paris.
Jiao J; Drewnowski A; Moudon AV; Aggarwal A; Oppert JM; Charreire H; Chaix B
Prev Med Rep; 2016 Dec; 4():68-74. PubMed ID: 27413663
[TBL] [Abstract][Full Text] [Related]
4. Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).
Drewnowski A; Aggarwal A; Cook A; Stewart O; Moudon AV
Prev Med; 2016 Feb; 83():46-55. PubMed ID: 26657348
[TBL] [Abstract][Full Text] [Related]
5. Environments perceived as obesogenic have lower residential property values.
Drewnowski A; Aggarwal A; Rehm CD; Cohen-Cline H; Hurvitz PM; Moudon AV
Am J Prev Med; 2014 Sep; 47(3):260-74. PubMed ID: 25049218
[TBL] [Abstract][Full Text] [Related]
6. Positive attitude toward healthy eating predicts higher diet quality at all cost levels of supermarkets.
Aggarwal A; Monsivais P; Cook AJ; Drewnowski A
J Acad Nutr Diet; 2014 Feb; 114(2):266-272. PubMed ID: 23916974
[TBL] [Abstract][Full Text] [Related]
7. Residential property values are associated with obesity among women in King County, WA, USA.
Rehm CD; Moudon AV; Hurvitz PM; Drewnowski A
Soc Sci Med; 2012 Aug; 75(3):491-5. PubMed ID: 22591823
[TBL] [Abstract][Full Text] [Related]
8. Residential property values predict prevalent obesity but do not predict 1-year weight change.
Drewnowski A; Aggarwal A; Tang W; Moudon AV
Obesity (Silver Spring); 2015 Mar; 23(3):671-6. PubMed ID: 25684713
[TBL] [Abstract][Full Text] [Related]
9. Access to supermarkets and fruit and vegetable consumption.
Aggarwal A; Cook AJ; Jiao J; Seguin RA; Vernez Moudon A; Hurvitz PM; Drewnowski A
Am J Public Health; 2014 May; 104(5):917-23. PubMed ID: 24625173
[TBL] [Abstract][Full Text] [Related]
10. Associations of supermarket characteristics with weight status and body fat: a multilevel analysis of individuals within supermarkets (RECORD study).
Chaix B; Bean K; Daniel M; Zenk SN; Kestens Y; Charreire H; Leal C; Thomas F; Karusisi N; Weber C; Oppert JM; Simon C; Merlo J; Pannier B
PLoS One; 2012; 7(4):e32908. PubMed ID: 22496738
[TBL] [Abstract][Full Text] [Related]
11. Individual and environmental factors associated for overweight in urban population of Brazil.
Mendes LL; Nogueira H; Padez C; Ferrao M; Velasquez-Melendez G
BMC Public Health; 2013 Oct; 13():988. PubMed ID: 24143958
[TBL] [Abstract][Full Text] [Related]
12. Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways.
Drewnowski A; Aggarwal A; Tang W; Hurvitz PM; Scully J; Stewart O; Moudon AV
BMC Public Health; 2016 Nov; 16(1):1153. PubMed ID: 27832766
[TBL] [Abstract][Full Text] [Related]
13. Neighborhood food outlets, diet, and obesity among California adults, 2007 and 2009.
Hattori A; An R; Sturm R
Prev Chronic Dis; 2013; 10():E35. PubMed ID: 23489640
[TBL] [Abstract][Full Text] [Related]
14. The geography of diabetes by census tract in a large sample of insured adults in King County, Washington, 2005-2006.
Drewnowski A; Rehm CD; Moudon AV; Arterburn D
Prev Chronic Dis; 2014 Jul; 11():E125. PubMed ID: 25058671
[TBL] [Abstract][Full Text] [Related]
15. A new method to visualize obesity prevalence in Seattle-King County at the census block level.
Drewnowski A; Buszkiewicz J; Aggarwal A; Cook A; Moudon AV
Obes Sci Pract; 2018 Feb; 4(1):14-19. PubMed ID: 29479460
[TBL] [Abstract][Full Text] [Related]
16. Objective assessment of obesogenic environments in youth: geographic information system methods and spatial findings from the Neighborhood Impact on Kids study.
Frank LD; Saelens BE; Chapman J; Sallis JF; Kerr J; Glanz K; Couch SC; Learnihan V; Zhou C; Colburn T; Cain KL
Am J Prev Med; 2012 May; 42(5):e47-55. PubMed ID: 22516503
[TBL] [Abstract][Full Text] [Related]
17. Does exposure to the food environment differ by socioeconomic position? Comparing area-based and person-centred metrics in the Fenland Study, UK.
Maguire ER; Burgoine T; Penney TL; Forouhi NG; Monsivais P
Int J Health Geogr; 2017 Sep; 16(1):33. PubMed ID: 28877706
[TBL] [Abstract][Full Text] [Related]
18. Neighborhood Food Environment, Diet, and Obesity Among Los Angeles County Adults, 2011.
Mejia N; Lightstone AS; Basurto-Davila R; Morales DM; Sturm R
Prev Chronic Dis; 2015 Sep; 12():E143. PubMed ID: 26334715
[TBL] [Abstract][Full Text] [Related]
19. The economics of food choice behavior: why poverty and obesity are linked.
Drewnowski A
Nestle Nutr Inst Workshop Ser; 2012; 73():95-112. PubMed ID: 23128769
[TBL] [Abstract][Full Text] [Related]
20. Association of supermarket characteristics with the body mass index of their shoppers.
Lear SA; Gasevic D; Schuurman N
Nutr J; 2013 Aug; 12():117. PubMed ID: 23941309
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]