Literature DB >> 22010917

Neighborhoods, obesity, and diabetes--a randomized social experiment.

Jens Ludwig1, Lisa Sanbonmatsu, Lisa Gennetian, Emma Adam, Greg J Duncan, Lawrence F Katz, Ronald C Kessler, Jeffrey R Kling, Stacy Tessler Lindau, Robert C Whitaker, Thomas W McDade.   

Abstract

BACKGROUND: The question of whether neighborhood environment contributes directly to the development of obesity and diabetes remains unresolved. The study reported on here uses data from a social experiment to assess the association of randomly assigned variation in neighborhood conditions with obesity and diabetes.
METHODS: From 1994 through 1998, the Department of Housing and Urban Development (HUD) randomly assigned 4498 women with children living in public housing in high-poverty urban census tracts (in which ≥40% of residents had incomes below the federal poverty threshold) to one of three groups: 1788 were assigned to receive housing vouchers, which were redeemable only if they moved to a low-poverty census tract (where <10% of residents were poor), and counseling on moving; 1312 were assigned to receive unrestricted, traditional vouchers, with no special counseling on moving; and 1398 were assigned to a control group that was offered neither of these opportunities. From 2008 through 2010, as part of a long-term follow-up survey, we measured data indicating health outcomes, including height, weight, and level of glycated hemoglobin (HbA(1c)).
RESULTS: As part of our long-term survey, we obtained data on body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) for 84.2% of participants and data on glycated hemoglobin level for 71.3% of participants. Response rates were similar across randomized groups. The prevalences of a BMI of 35 or more, a BMI of 40 or more, and a glycated hemoglobin level of 6.5% or more were lower in the group receiving the low-poverty vouchers than in the control group, with an absolute difference of 4.61 percentage points (95% confidence interval [CI], -8.54 to -0.69), 3.38 percentage points (95% CI, -6.39 to -0.36), and 4.31 percentage points (95% CI, -7.82 to -0.80), respectively. The differences between the group receiving traditional vouchers and the control group were not significant.
CONCLUSIONS: The opportunity to move from a neighborhood with a high level of poverty to one with a lower level of poverty was associated with modest but potentially important reductions in the prevalence of extreme obesity and diabetes. The mechanisms underlying these associations remain unclear but warrant further investigation, given their potential to guide the design of community-level interventions intended to improve health. (Funded by HUD and others.).

Entities:  

Mesh:

Year:  2011        PMID: 22010917      PMCID: PMC3410541          DOI: 10.1056/NEJMsa1103216

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  16 in total

1.  Collective efficacy and obesity: the potential influence of social factors on health.

Authors:  Deborah A Cohen; Brian K Finch; Aimee Bower; Narayan Sastry
Journal:  Soc Sci Med       Date:  2005-07-21       Impact factor: 4.634

Review 2.  The built environment and obesity.

Authors:  Mia A Papas; Anthony J Alberg; Reid Ewing; Kathy J Helzlsouer; Tiffany L Gary; Ann C Klassen
Journal:  Epidemiol Rev       Date:  2007-05-28       Impact factor: 6.222

Review 3.  Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health.

Authors: 
Journal:  Obes Res       Date:  1998-09

4.  Neighborhoods and violent crime: a multilevel study of collective efficacy.

Authors:  R J Sampson; S W Raudenbush; F Earls
Journal:  Science       Date:  1997-08-15       Impact factor: 47.728

5.  Racial residential segregation and weight status among US adults.

Authors:  Virginia W Chang
Journal:  Soc Sci Med       Date:  2006-09       Impact factor: 4.634

6.  The lifetime medical cost burden of overweight and obesity: implications for obesity prevention.

Authors:  Eric A Finkelstein; Justin G Trogdon; Derek S Brown; Benjamin T Allaire; Pam S Dellea; Sachin J Kamal-Bahl
Journal:  Obesity (Silver Spring)       Date:  2008-05-29       Impact factor: 5.002

7.  Neighborhood characteristics and availability of healthy foods in Baltimore.

Authors:  Manuel Franco; Ana V Diez Roux; Thomas A Glass; Benjamín Caballero; Frederick L Brancati
Journal:  Am J Prev Med       Date:  2008-10-08       Impact factor: 5.043

8.  The spread of obesity in a large social network over 32 years.

Authors:  Nicholas A Christakis; James H Fowler
Journal:  N Engl J Med       Date:  2007-07-25       Impact factor: 91.245

Review 9.  A new look at screening and diagnosing diabetes mellitus.

Authors:  Christopher D Saudek; William H Herman; David B Sacks; Richard M Bergenstal; David Edelman; Mayer B Davidson
Journal:  J Clin Endocrinol Metab       Date:  2008-05-06       Impact factor: 5.958

10.  Nationally representative medical costs of diabetes by time since diagnosis.

Authors:  Justin G Trogdon; Thomas Hylands
Journal:  Diabetes Care       Date:  2008-12       Impact factor: 19.112

View more
  317 in total

1.  Risk factors: Ethnicity and cardiovascular risk-are all men created equal?

Authors:  Carlos G Santos-Gallego; Juan José Badimón
Journal:  Nat Rev Cardiol       Date:  2011-11-22       Impact factor: 32.419

2.  Facts and ideas from anywhere.

Authors:  William C Roberts
Journal:  Proc (Bayl Univ Med Cent)       Date:  2012-01

3.  The influence of area-level education on body mass index, waist circumference and obesity according to gender.

Authors:  Antonio Fernando Boing; S V Subramanian
Journal:  Int J Public Health       Date:  2015-08-04       Impact factor: 3.380

4.  Randomized Trial of a Lifestyle Intervention for Urban Low-Income African Americans with Type 2 Diabetes.

Authors:  Elizabeth B Lynch; Laurin Mack; Elizabeth Avery; Yamin Wang; Rebecca Dawar; DeJuran Richardson; Kathryn Keim; Jennifer Ventrelle; Bradley M Appelhans; Bettina Tahsin; Leon Fogelfeld
Journal:  J Gen Intern Med       Date:  2019-04-08       Impact factor: 5.128

Review 5.  mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes.

Authors:  Lindsay Satterwhite Mayberry; Courtney R Lyles; Brian Oldenburg; Chandra Y Osborn; Makenzie Parks; Monica E Peek
Journal:  Curr Diab Rep       Date:  2019-11-25       Impact factor: 4.810

6.  Is there a space for place in family history assessment? Underserved community views on the impact of neighborhood factors on health and prevention.

Authors:  Christopher D Hartmann; Patricia A Marshall; Aaron J Goldenberg
Journal:  J Prim Prev       Date:  2015-04

Review 7.  Racial/Ethnic Residential Segregation, Obesity, and Diabetes Mellitus.

Authors:  Kiarri N Kershaw; Ashley E Pender
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

8.  Surrounding community residents' expectations of HOPE VI for their community, health and physical activity.

Authors:  Akilah Dulin-Keita; Lonnie Hannon; David Buys; Krista Casazza; Olivio Clay
Journal:  J Community Pract       Date:  2016-03-25

9.  Preventing type 2 diabetes in communities across the U.S.: the National Diabetes Prevention Program.

Authors:  Ann L Albright; Edward W Gregg
Journal:  Am J Prev Med       Date:  2013-04       Impact factor: 5.043

10.  Built Environment Exposures of Adults in the Moving to Opportunity Experiment.

Authors:  Cathy L Antonakos; Claudia J Coulton; Robert Kaestner; Mickey Lauria; Dwayne E Porter; Natalie Colabianchi
Journal:  Hous Stud       Date:  2019-06-25
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.