Literature DB >> 21660076

The Women's Health Initiative: The food environment, neighborhood socioeconomic status, BMI, and blood pressure.

Tamara Dubowitz1, Madhumita Ghosh-Dastidar, Christine Eibner, Mary E Slaughter, Meenakshi Fernandes, Eric A Whitsel, Chloe E Bird, Adria Jewell, Karen L Margolis, Wenjun Li, Yvonne L Michael, Regina A Shih, Joann E Manson, José J Escarce.   

Abstract

Using data (n = 60,775 women) from the Women's Health Initiative Clinical Trial (WHI CT)-a national study of postmenopausal women aged 50-79 years-we analyzed cross-sectional associations between the availability of different types of food outlets in the 1.5 miles surrounding a woman's residence, census tract neighborhood socioeconomic status (NSES), BMI, and blood pressure (BP). We simultaneously modeled NSES and food outlets using linear and logistic regression models, adjusting for multiple sociodemographic factors, population density and random effects at the tract and metropolitan statistical area (MSA) level. We found significant associations between NSES, availability of food outlets and individual-level measurements of BMI and BP. As grocery store/supermarket availability increased from the 10th to the 90th percentile of its distribution, controlling for confounders, BMI was lower by 0.30 kg/m(2). Conversely, as fast-food outlet availability increased from the 10th to the 90th percentile, BMI was higher by 0.28 kg/m(2). When NSES increased from the 10th to the 90th percentile of its distribution, BMI was lower by 1.26 kg/m(2). As NSES increased from the 10th to the 90th percentile, systolic and diastolic BP were lower by 1.11 mm Hg and 0.40 mm Hg, respectively. As grocery store/supermarket outlet availability increased from the 10th and 90th percentiles, diastolic BP was lower by 0.31 mm Hg. In this national sample of postmenopausal women, we found important independent associations between the food and socioeconomic environments and BMI and BP. These findings suggest that changes in the neighborhood environment may contribute to efforts to control obesity and hypertension.

Entities:  

Mesh:

Year:  2011        PMID: 21660076      PMCID: PMC4018819          DOI: 10.1038/oby.2011.141

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  32 in total

1.  Promoting health: intervention strategies from social and behavioral research.

Authors:  B D Smedley; S L Syme
Journal:  Am J Health Promot       Date:  2001 Jan-Feb

2.  Implementation of the Women's Health Initiative study design.

Authors:  Garnet L Anderson; Joann Manson; Robert Wallace; Bernedine Lund; Dallas Hall; Scott Davis; Sally Shumaker; Ching-Yun Wang; Evan Stein; Ross L Prentice
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

3.  Fast food consumption of U.S. adults: impact on energy and nutrient intakes and overweight status.

Authors:  Shanthy A Bowman; Bryan T Vinyard
Journal:  J Am Coll Nutr       Date:  2004-04       Impact factor: 3.169

4.  Neighborhood risk factors for obesity.

Authors:  Russ P Lopez
Journal:  Obesity (Silver Spring)       Date:  2007-08       Impact factor: 5.002

5.  Calorie labeling and food choices: a first look at the effects on low-income people in New York City.

Authors:  Brian Elbel; Rogan Kersh; Victoria L Brescoll; L Beth Dixon
Journal:  Health Aff (Millwood)       Date:  2009-10-06       Impact factor: 6.301

6.  Are the salutogenic effects of social supports modified by income? A test of an "added value hypothesis".

Authors:  P P Vitaliano; J M Scanlan; J Zhang; M V Savage; B Brummett; J Barefoot; I C Siegler
Journal:  Health Psychol       Date:  2001-05       Impact factor: 4.267

7.  Built environment and changes in blood pressure in middle aged and older adults.

Authors:  Fuzhong Li; Peter Harmer; Bradley J Cardinal; Naruepon Vongjaturapat
Journal:  Prev Med       Date:  2009-03       Impact factor: 4.018

8.  Projected effect of dietary salt reductions on future cardiovascular disease.

Authors:  Kirsten Bibbins-Domingo; Glenn M Chertow; Pamela G Coxson; Andrew Moran; James M Lightwood; Mark J Pletcher; Lee Goldman
Journal:  N Engl J Med       Date:  2010-01-20       Impact factor: 91.245

9.  Symptoms of depression prospectively predict poorer self-care in patients with Type 2 diabetes.

Authors:  J S Gonzalez; S A Safren; L M Delahanty; E Cagliero; D J Wexler; J B Meigs; R W Grant
Journal:  Diabet Med       Date:  2008-09       Impact factor: 4.359

10.  Green neighborhoods, food retail and childhood overweight: differences by population density.

Authors:  Gilbert C Liu; Jeffrey S Wilson; Rong Qi; Jun Ying
Journal:  Am J Health Promot       Date:  2007 Mar-Apr
View more
  76 in total

1.  Association of Periodontal Disease and Edentulism With Hypertension Risk in Postmenopausal Women.

Authors:  Joshua H Gordon; Michael J LaMonte; Jiwei Zhao; Robert J Genco; Thomas R Cimato; Kathleen M Hovey; Matthew A Allison; Charles P Mouton; Jean Wactawski-Wende
Journal:  Am J Hypertens       Date:  2019-01-15       Impact factor: 2.689

2.  Community Characteristics are Associated with Blood Pressure Levels in a Racially Integrated Community.

Authors:  L J Samuel; R J Thorpe; K M Bower; T A LaVeist
Journal:  J Urban Health       Date:  2015-06       Impact factor: 3.671

3.  Is the Oral Microbiome Associated with Blood Pressure in Older Women?

Authors:  Joshua H Gordon; Michael J LaMonte; Robert J Genco; Jiwei Zhao; Lu Li; Kathleen M Hovey; Maria Tsompana; Michael J Buck; Christopher A Andrews; Daniel I Mcskimming; Wei Zheng; Yijun Sun; Jean Wactawski-Wende
Journal:  High Blood Press Cardiovasc Prev       Date:  2019-06-24

4.  Ethnic differences in the relationship between birth weight and type 2 diabetes mellitus in postmenopausal women.

Authors:  K K Ryckman; E Rillamas-Sun; C N Spracklen; R B Wallace; L Garcia; F A Tylavsky; B V Howard; S Liu; Y Song; E S LeBlanc; M V White; N I Parikh; J G Robinson
Journal:  Diabetes Metab       Date:  2014-04-21       Impact factor: 6.041

5.  Does change in the neighborhood environment prevent obesity in older women?

Authors:  Yvonne L Michael; Corey L Nagel; Rachel Gold; Teresa A Hillier
Journal:  Soc Sci Med       Date:  2013-12-02       Impact factor: 4.634

6.  Are your asset data as good as you think? Conducting a comprehensive census of built assets to improve urban population health.

Authors:  Jennifer A Makelarski; Stacy Tessler Lindau; Vanessa D Fabbre; Colleen M Grogan; Eugene M Sadhu; Jonathan C Silverstein; Thuy Tien T Tran; Martha Van Haitsma; Eric Whitaker; Daniel Johnson
Journal:  J Urban Health       Date:  2013-08       Impact factor: 3.671

7.  Beyond Access: Characteristics of the Food Environment and Risk of Diabetes.

Authors:  Briana Mezuk; Xinjun Li; Klas Cederin; Kristen Rice; Jan Sundquist; Kristina Sundquist
Journal:  Am J Epidemiol       Date:  2016-05-30       Impact factor: 4.897

8.  Food Insecurity, Food "Deserts," and Glycemic Control in Patients With Diabetes: A Longitudinal Analysis.

Authors:  Seth A Berkowitz; Andrew J Karter; Giselle Corbie-Smith; Hilary K Seligman; Sarah A Ackroyd; Lily S Barnard; Steven J Atlas; Deborah J Wexler
Journal:  Diabetes Care       Date:  2018-03-19       Impact factor: 19.112

9.  Birth weight and subsequent risk of cancer.

Authors:  Cassandra N Spracklen; Robert B Wallace; Shawnita Sealy-Jefferson; Jennifer G Robinson; Jo L Freudenheim; Melissa F Wellons; Audrey F Saftlas; Linda G Snetselaar; JoAnn E Manson; Lifang Hou; Lihong Qi; Rowan T Chlebowski; Kelli K Ryckman
Journal:  Cancer Epidemiol       Date:  2014-08-03       Impact factor: 2.984

10.  Racial and ethnic residential segregation, the neighborhood socioeconomic environment, and obesity among Blacks and Mexican Americans.

Authors:  Kiarri N Kershaw; Sandra S Albrecht; Mercedes R Carnethon
Journal:  Am J Epidemiol       Date:  2013-01-20       Impact factor: 4.897

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.