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Neighborhoods, obesity, and diabetes—a randomized social experiment.
Open accessAbstract
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.).
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“Unmet social needs have been linked to important clinical outcomes such as uncontrolled diabetes and hypertension as well as higher levels of utilization, including hospital readmissions.4–7”
From Documentation and review of social determinants of health data in the EHR: measures and associated insights (2021) · cites this paper as [4]
Experimental — accuracy not yet measuredIn the citing paper
“For example, lead abatement and indoor air quality improvement interventions have reduced childhood lead poisoning and asthma morbidity, respectively.(35,36)”
From Evaluating strategies for reducing health disparities by addressing the social determinants of health. (2016) · cites this paper as [36]
In the citing paper
“For example, lead abatement and indoor air quality improvement interventions have reduced childhood lead poisoning and asthma morbidity, respectively.(35,36)”
From Evaluating strategies for reducing health disparities by addressing the social determinants of health. (2016) · cites this paper as [36]
In the citing paper
“10 to 15 years after poor public housing families had been randomized to move to less poor neighborhoods, those who had moved had lower levels of obesity, severe obesity and diabetes risk [53].”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [53]
In the citing paper
“Better-designed studies of programs such as Moving to Opportunity have found benefits for low income recipients—including improvements in housing, employment, and reductions in obesity, diabetes risk, and alcohol abuse (Sanbonmatsu et al. 2011; Fauth, Leventhal & Brooks-Gunn, 2004; Ludwig et al., 2011).”
From Civil rights as determinants of public health and racial and ethnic health equity: Health care, education, employment, and housing in the United States (2018) · cites this paper as Ludwig et al., 2011
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Cites
Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy
Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997) · Science · doi:10.1126/science.277.5328.918 · Cited by 11,999
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Standards of medical care in diabetes 2010
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s011 · Cited by 3,470
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185
Experimental Analysis of Neighborhood Effects
Kling, J. R., Liebman, J. B., & Katz, L. F. (2007) · Econometrica · doi:10.1111/j.1468-0262.2007.00733.x · Cited by 2,719
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Papas, M. A., Alberg, A. J., Ewing, R., Helzlsouer, K. J., Gary, T. L., & Klassen, A. C. (2007) · Epidemiologic Reviews · doi:10.1093/epirev/mxm009 · Cited by 1,078
Accounting for No-Shows in Experimental Evaluation Designs
Bloom, H. S. (1984) · Evaluation Review · doi:10.1177/0193841x8400800205 · Cited by 532
Neighborhood Characteristics and Availability of Healthy Foods in Baltimore
Franco, M., Roux, A. V. D., Glass, T. A., Caballero, B. H., & Brancati, F. L. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.07.003 · Cited by 447
A new look at screening and diagnosing diabetes mellitus
Saudek, C. D., Herman, W. H., Sacks, D. B., Bergenstal, R. M., Edelman, D., & Davidson, M. B. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2174 · Cited by 432
Collective efficacy and obesity: The potential influence of social factors on health
Cohen, D. A., Finch, B. K., Bower, A., & Sastry, N. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2005.06.033 · Cited by 380
Cahill, M. C. (2010) · Taylor & Francis eBooks · doi:10.4324/9780203451342_chapter_6 · Cited by 373
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Ludwig, J., Liebman, J. B., Kling, J. R., Duncan, G. J., Katz, L. F., Kessler, R. C., & Sanbonmatsu, L. (2008) · American Journal of Sociology · doi:10.1086/588741 · Cited by 321
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Orr, L. L., Feins, J. D., Jacob, R. T., Beecroft, E. A., Sanbonmatsu, L., Katz, L. F., Liebman, J. B., & Kling, J. R. (2003) · Cited by 305
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Jacob, B. A., & Ludwig, J. (2012) · American Economic Review · doi:10.1257/aer.102.1.272 · Cited by 257
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Krishnan, S., Cozier, Y. C., Rosenberg, L. A., & Palmer, J. R. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp443 · Cited by 224
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Chang, V. W. (2006) · Social Science & Medicine · doi:10.1016/j.socscimed.2006.03.049 · Cited by 180
Lovasi, G. S., Neckerman, K. M., Quinn, J. W., Weiss, C. C., & Rundle, A. (2008) · American Journal of Public Health · doi:10.2105/ajph.2008.138230 · Cited by 178
The Lifetime Medical Cost Burden of Overweight and Obesity: Implications for Obesity Prevention
Finkelstein, E. A., Trogdon, J. G., Brown, D. S., Allaire, B. T., Dellea, P. S., & Kamal‐Bahl, S. J. (2008) · Obesity · doi:10.1038/oby.2008.290 · Cited by 171
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Olsen, E. O. (2001) · National Bureau of Economic Research · doi:10.3386/w8208 · Cited by 149
Black, J., & Macinko, J. A. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp458 · Cited by 95
Psychosocial Stress and 13‐year BMI Change Among Blacks: The Pitt County Study
Fowler‐Brown, A. G., Bennett, G. G., Goodman, M. S., Wee, C. C., Corbie-Smith, G. M., & James, S. A. (2009) · Obesity · doi:10.1038/oby.2009.130 · Cited by 82
Nationally Representative Medical Costs of Diabetes by Time Since Diagnosis
Trogdon, J. G., & Hylands, T. (2008) · Diabetes Care · doi:10.2337/dc08-1375 · Cited by 53
House Ways and Means Committee
Rovner, J. (2009) · Health Care Policy and Politics A to Z · doi:10.4135/9781452240121.n174 · Cited by 20
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Natarajan, G. K., Kabir, M., Perin, J., Hossain, B., Debes, A. K., Haque, R., & George, C. M. (2018) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.18-0538 · Cited by 15
Morenoff, J. D., Roux, A. V. D., Hansen, B. B., & Osypuk, T. L. (2008) · Cited by 14
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Metadata
- Authors
- Ludwig, J., Sanbonmatsu, L., Gennetian, L., Adam, E., Duncan, G. J., Katz, L. F., Kessler, R. C., Kling, J. R., Lindau, S. T., Whitaker, R. C., & McDade, T. W.
- Affiliations
- National Bureau of Economic Research (US)
- Brookings Institution (US)
- Northwestern University (US)
- University of California, Irvine (US)
- Harvard University (US)
- Congressional Budget Office (US)
- University of Chicago (US)
- Temple University (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2011-10-20
- Volume
- 365
- Issue
- 16
- Pages
- 1509-1519
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC3410541
- OpenAlex
- W2116429669
- Cited by
- 964
- References
- 26
- Citations by year
- 2026: 32 · 2025: 47 · 2024: 62 · 2023: 69 · 2022: 79 · 2021: 62 · 2020: 70 · 2019: 67 · 2018: 80 · 2017: 64 · 2016: 83 · 2015: 73 · 2014: 64 · 2013: 59 · 2012: 41
- FWCI
- 57.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- National Science Foundation (0527615)
- Bill and Melinda Gates Foundation
- John D. and Catherine T. MacArthur Foundation
- Annie E. Casey Foundation
- Russell Sage Foundation
- Smith Richardson Foundation
- Sid W. Richardson Foundation
- Spencer Foundation
- Sage Foundation
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- GlaxoSmithKline
- Sanofi
- PepsiCo
- SRA International
- Kaiser Permanente
- University of Chicago
- University of Michigan
- Janssen Scientific Affairs
- National Institutes of Health (R01-HD040444)
- Centers for Disease Control and Prevention (R49CE000906)
- Institute of Education Sciences (R305U070006)
- Center for Health Administration Studies
- Nutrition Obesity Research Center, University of North Carolina
- National Institute on Aging (P30AG012857, R01AG031259, R56AG031259, P01-AG005842-22S1, AG005842, K23AG032870, P01AG005842)
- National Institute of Mental Health (R01MH077026)
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD040444, R01HD040404, R24HD051152)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- neighborhood environment, neighborhood poverty, obesity, diabetes mellitus, housing vouchers, public housing, body mass index, HbA1c, morbid obesity, community-level interventions, social experiment, women with children, urban poverty, health disparities, social determinants of health, long-term follow-up
- MeSH terms
- Adult, Diabetes Mellitus, Female, Humans, Middle Aged, Obesity, Poverty Areas, Residence Characteristics, Social Conditions
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