The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
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.).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Self-citationThe Built Environment and Obesity
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
Flagged first, then by citations
Cited by
Sorted by citations
Obesity: global epidemiology and pathogenesis
Blüher, M. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0176-8 · Cited by 5,126
Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas
Kind, A. J. H., & Buckingham, W. R. (2018) · New England Journal of Medicine · doi:10.1056/nejmp1802313 · Cited by 3,310
Chetty, R., Hendren, N., & Katz, L. F. (2016) · American Economic Review · doi:10.1257/aer.20150572 · Cited by 2,315
Self-citationStructural competency: Theorizing a new medical engagement with stigma and inequality
Metzl, J. M., & Hansen, H. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.06.032 · Cited by 1,873
Social determinants of health and diabetes: A scientific review
Hill-Briggs, F., Adler, N. E., Berkowitz, S. A., Chin, M. H., Gary-Webb, T. L., Navas-Acien, A., Thornton, P. L., & Haire-Joshu, D. (2021) · Diabetes Care · doi:10.2337/dci20-0053 · Cited by 1,732
Havranek, E. P., Mujahid, M. S., Barr, D. A., Blair, I. V., Cohen, M. S., Cruz-Flores, S., Davey-Smith, G., Dennison-Himmelfarb, C. R., Lauer, M. S., Lockwood, D. W., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000228 · Cited by 1,472
Neighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization
Kind, A., Jencks, S., Brock, J., Yu, M., Bartels, C. M., Ehlenbach, W. J., Greenberg, C., & Smith, M. (2014) · Annals of Internal Medicine · doi:10.7326/m13-2946 · Cited by 1,383
KANALEY, J. A., COLBERG, S. R., CORCORAN, M. H., MALIN, S. K., RODRIGUEZ, N. R., CRESPO, C. J., KIRWAN, J. P., & ZIERATH, J. R. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002800 · Cited by 931
Type 2 diabetes in adolescents and young adults
Lascar, N., Brown, J., Pattison, H., Barnett, A. H., Bailey, C. J., & Bellary, S. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30186-9 · Cited by 824
The science of obesity management: an endocrine society scientific statement
Bray, G. A., Heisel, W. E., Afshin, A., Jensen, M. D., Dietz, W. H., Long, M., Kushner, R. F., Daniels, S. R., Wadden, T. A., Tsai, A. G., et al. (2018) · Endocrine Reviews · doi:10.1210/er.2017-00253 · Cited by 812
The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan, J. C. N., Lim, L.-L., Wareham, N. J., Shaw, J. E., Orchard, T. J., Zhang, P., Lau, E. S. H., Eliasson, B., Kong, A. P. S., Ezzati, M., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)32374-6 · Cited by 793
Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults
Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2012) · Science · doi:10.1126/science.1224648 · Cited by 747
Self-citationInequalities in health: definitions, concepts, and theories
Arcaya, M. C., Arcaya, A. L., & Subramanian, S. V. (2015) · Global Health Action · doi:10.3402/gha.v8.27106 · Cited by 696
Mika Kivimaki, B., Strandberg, T. E., Pentti, J., Nyberg, S. T., Frank, P., Jokela, M. M., Ervasti, J. M., Suominen, S., Vahtera, J., Sipilä, P. N., et al. (2022) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(22)00033-x · Cited by 691
Thornton, R. L. J., Glover, C. M., Cené, C. W., Glik, D. C., Henderson, J. A., & Williams, D. R. (2016) · Health Affairs · doi:10.1377/hlthaff.2015.1357 · Cited by 591
Japanese clinical practice guideline for diabetes 2019
Araki, E., Goto, A., Kondo, T., Noda, M., Noto, H., Origasa, H., Osawa, H., Taguchi, A., Tanizawa, Y., Tobe, K., et al. (2020) · Diabetology International · doi:10.1007/s13340-020-00439-5 · Cited by 545
Babulal, G. M., Quiroz, Y. T., Albensi, B. C., Arenaza‐Urquijo, E., Astell, A. J., Babiloni, C., Bahar‐Fuchs, A., Bell, J., Bowman, G. L., Brickman, A. M., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.09.009 · Cited by 528
Branas, C. C., South, E. C., Kondo, M. C., Hohl, B. C., Bourgois, P. I., Wiebe, D. J., & MacDonald, J. M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718503115 · Cited by 515
Structural interventions to reduce and eliminate health disparities
Brown, A. F., Ma, G. X., Miranda, J., Eng, E., Castille, D., Brockie, T., Jones, P., Airhihenbuwa, C. O., Farhat, T., Zhu, L., et al. (2019) · American Journal of Public Health · doi:10.2105/ajph.2018.304844 · Cited by 465
Bell, J. A., Mika Kivimaki, B., & Hamer, M. (2014) · Obesity Reviews · doi:10.1111/obr.12157 · Cited by 460
Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review
Dendup, T., Feng, X., Clingan, S., & Astell‐Burt, T. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15010078 · Cited by 493
Long-Term Neighborhood Effects on Low-Income Families: Evidence from Moving to Opportunity
Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2013) · American Economic Review · doi:10.1257/aer.103.3.226 · Cited by 436
Self-citationPeer Effects in Program Participation
Dahl, G. B., Løken, K. V., & Mogstad, M. (2012) · American Economic Review · doi:10.1257/aer.104.7.2049 · Cited by 435
Disparities in Diabetes: The Nexus of Race, Poverty, and Place
Gaskin, D. J., Thorpe, R. J., McGinty, E. E., Bower, K. M., Rohde, C. A., Young, J. H., LaVeist, T. A., & Dubay, L. C. (2013) · American Journal of Public Health · doi:10.2105/ajph.2013.301420 · Cited by 445
Reducing Racial Inequities in Health: Using What We Already Know to Take Action
Williams, D. R., & Cooper, L. A. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040606 · Cited by 415
Golden, S. H., Brown, A., Cauley, J. A., Chin, M. H., Gary-Webb, T. L., Kim, C., Sosa, J. A., Sumner, A. E., & Anton, B. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2043 · Cited by 405
Food Deserts and the Causes of Nutritional Inequality*
Allcott, H., Diamond, R., Dubé, J.-P., Handbury, J., Rahkovsky, I. M., & Schnell, M. K. (2019) · The Quarterly Journal of Economics · doi:10.1093/qje/qjz015 · Cited by 408
Association of Neighborhood Walkability With Change in Overweight, Obesity, and Diabetes
Creatore, M. I., Glazier, R. H., Moineddin, R., Fazli, G. S., Johns, A., Gozdyra, P., Matheson, F. I., Shriqui, V. K., Rosella, L. C., Manuel, D. G., et al. (2016) · JAMA · doi:10.1001/jama.2016.5898 · Cited by 381
Chetty, R., Hendren, N., & Katz, L. F. (2015) · National Bureau of Economic Research · doi:10.3386/w21156 · Cited by 381
Self-citationLeveraging the Social Determinants of Health: What Works?
Taylor, L. A., Tan, A. X., Coyle, C. E., Ndumele, C., Rogan, E., Canavan, M., Curry, L. A., & Bradley, E. H. (2016) · PLOS ONE · doi:10.1371/journal.pone.0160217 · Cited by 374
Japanese Clinical Practice Guideline for Diabetes 2019
Araki, E., Goto, A., Kondo, T., Noda, M., Noto, H., Origasa, H., Osawa, H., Taguchi, A., Tanizawa, Y., Tobe, K., et al. (2020) · Journal of Diabetes Investigation · doi:10.1111/jdi.13306 · Cited by 346
Social Determinants of Racial Disparities in CKD
Norton, J. M., Moxey-Mims, M. M., Eggers, P. W., Narva, A. S., Star, R. A., Kimmel, P. L., & Rodgers, G. P. (2016) · Journal of the American Society of Nephrology · doi:10.1681/asn.2016010027 · Cited by 345
Streiner, D. L. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.113548 · Cited by 344
Risk Factors and Implications of Childhood Obesity
Blüher, S., & Wiegand, S. (2018) · Current Obesity Reports · doi:10.1007/s13679-018-0320-0 · Cited by 373
The multiple roles of life stress in metabolic disorders
Mika Kivimaki, B., Bartolomucci, A., & Kawachi, I. I. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00746-8 · Cited by 357
Giles‐Corti, B., Bull, F., Knuiman, M. W., McCormack, G. R., Niel, K. V., Timperio, A. F., Christian, H. E., Foster, S. A., Divitini, M., Middleton, N., et al. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.10.016 · Cited by 326
Bradley, E. H., Canavan, M., Rogan, E. M., Talbert‐Slagle, K., Ndumele, C. D., Taylor, L. A., & Curry, L. A. (2016) · Health Affairs · doi:10.1377/hlthaff.2015.0814 · Cited by 317
An economy of scales: A selective review of obesity's economic causes, consequences, and solutions
Cawley, J. (2015) · Journal of Health Economics · doi:10.1016/j.jhealeco.2015.03.001 · Cited by 318
Christine, P. J., Auchincloss, A. H., Bertoni, A. G., Carnethon, M. R., Sánchez, B. N., Moore, K., Adar, S. D., Horwich, T. B., Watson, K. E., & Roux, A. V. D. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.2691 · Cited by 320
on behalf of the Feel4Diabetes-study Group, Kyrou, I., Tsigos, C., Mavrogianni, C., Cardon, G., Stappen, V. V., Latomme, J., Kivelä, J., Wikström, K., Tsochev, Κ., et al. (2020) · BMC Endocrine Disorders · doi:10.1186/s12902-019-0463-3 · Cited by 333
Food insecurity as a driver of obesity in humans: The insurance hypothesis
Nettle, D., Andrews, C. P., & Melissa Bateson, B. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x16000947 · Cited by 315
Preventing Type 2 Diabetes in Communities Across the U.S.
Albright, A. L., & Gregg, E. W. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2012.12.009 · Cited by 315
Mayne, S. L., Auchincloss, A. H., & Michael, Y. L. (2015) · Obesity Reviews · doi:10.1111/obr.12269 · Cited by 301
The food-insecurity obesity paradox: A resource scarcity hypothesis
Dhurandhar, E. J. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.04.025 · Cited by 283
Understanding the Complexity of Heart Failure Risk and Treatment in Black Patients
Nayak, A., Hicks, A. J., & Morris, A. A. (2020) · Circulation Heart Failure · doi:10.1161/circheartfailure.120.007264 · Cited by 275
Spatial Foundations of Inequality: A Conceptual Model and Empirical Overview
Galster, G., & Sharkey, P. T. (2017) · RSF The Russell Sage Foundation Journal of the Social Sciences · doi:10.7758/rsf.2017.3.2.01 · Cited by 258
Effects of Chronic Social Stress on Obesity
Scott, K. A., Melhorn, S. J., & Sakai, R. R. (2012) · Current Obesity Reports · doi:10.1007/s13679-011-0006-3 · Cited by 251
Influence of race, ethnicity and socioeconomic status on kidney disease
Patzer, R. E., & McClellan, W. M. (2012) · Nature Reviews Nephrology · doi:10.1038/nrneph.2012.117 · Cited by 257
Measures of the Consumer Food Store Environment: A Systematic Review of the Evidence 2000–2011
Gustafson, A., Hankins, S., & Jilcott, S. B. (2011) · Journal of Community Health · doi:10.1007/s10900-011-9524-x · Cited by 225
Environmental risk factors of type 2 diabetes—an exposome approach
Beulens, J. W. J., de Pinho, M. G. M., Abreu, T. C., den Braver, N. R., Lam, T. M., Huss, A., Vlaanderen, J. J., Sonnenschein, T., Siddiqui, N. Z., Yuan, Z., et al. (2021) · Diabetologia · doi:10.1007/s00125-021-05618-w · Cited by 234
Review article: the epidemiologic burden of non‐alcoholic fatty liver disease across the world
Henry, L. L., Paik, J. M., & Younossi, Z. M. (2022) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17158 · Cited by 217
Parkhurst, J. (2016) · London School of Economics and Political Science Research Online (London School of Economics and Political Science) · doi:10.4324/9781315675008 · Cited by 756
Hemingway, H., Asselbergs, F. W., Danesh, J., Dobson, R., Maniadakis, N., Maggioni, A. P., van Thiel, G. J. M. W., Cronin, M., Brobert, G., Vardas, P. E., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx487 · Cited by 218
Spatial Polygamy and Contextual Exposures (SPACEs)
Matthews, S. A., & Yang, T. (2013) · American Behavioral Scientist · doi:10.1177/0002764213487345 · Cited by 224
Scientific Statement: Socioecological Determinants of Prediabetes and Type 2 Diabetes
Hill, J. O., Galloway, J. M., Goley, A. L., Marrero, D. G., Minners, R., Montgomery, B. K., Peterson, G. E., Ratner, R. E., Sánchez, E., & Aroda, V. R. (2013) · Diabetes Care · doi:10.2337/dc13-1161 · Cited by 222
Sims, M., Kershaw, K. N., Breathett, K. K., Jackson, E. A., Lewis, L. M., Mujahid, M. S., & Suglia, S. F. (2020) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/hcq.0000000000000089 · Cited by 202
Twenty Years of Neighborhood Effect Research: An Assessment
Oakes, J. M., Andrade, K. E., Biyoow, I. M., & Cowan, L. (2015) · Current Epidemiology Reports · doi:10.1007/s40471-015-0035-7 · Cited by 201
Neighborhood Greenness and Chronic Health Conditions in Medicare Beneficiaries
Brown, S. C., Lombard, J. L., Wang, K., Byrne, M. M., Toro, M., Plater-Zyberk, E., Feaster, D. J., Kardys, J., Nardi, M. I., Gomez, G. P., et al. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.02.008 · Cited by 195
Metzl, J. M., & Roberts, D. E. (2014) · The AMA Journal of Ethic · doi:10.1001/virtualmentor.2014.16.09.spec1-1409 · Cited by 198
Racism and Health II: A Needed Research Agenda for Effective Interventions
Williams, D. R., & Mohammed, S. A. (2013) · American Behavioral Scientist · doi:10.1177/0002764213487341 · Cited by 189
“Ten to fifteen years later, the treatment group had lower rates of severe obesity and diabetes risk (Ludwig et al., 2011) and higher levels of mental health and subjective well-being (Ludwig et al.”
BackgroundAssociation of Low Socioeconomic Status With Premature Coronary Heart Disease in US Adults
Hamad, R., Penko, J. M., Kazi, D. S., Coxson, P. G., Guzman, D., Wei, P. C., Mason, A., Wang, E. A., Goldman, L., Fiscella, K. A., et al. (2020) · JAMA Cardiology · doi:10.1001/jamacardio.2020.1458 · Cited by 187
Current guidelines for obesity prevention in childhood and adolescence
Weihrauch-Blüher, S., Kromeyer-Hauschild, K., Graf, C., Widhalm, K., Korsten-Reck, U., Jödicke, B., Markert, J., Müller, M. J., Moss, A., Wabitsch, M., et al. (2018) · Obesity Facts · doi:10.1159/000486512 · Cited by 186
Mind the Gap: Race/Ethnic and Socioeconomic Disparities in Obesity
Krueger, P. M., & Reither, E. N. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0666-6 · Cited by 198
Neighborhood disadvantage and chronic disease management
Durfey, S. N. M., Kind, A., Buckingham, W. R., DuGoff, E. H., & Trivedi, A. N. (2018) · Health Services Research · doi:10.1111/1475-6773.13092 · Cited by 177
Understanding and Mitigating Health Inequities — Past, Current, and Future Directions
Lavizzo‐Mourey, R. J., Besser, R. E., & Williams, D. R. (2021) · New England Journal of Medicine · doi:10.1056/nejmp2008628 · Cited by 169
Neighborhoods Matter: Assessing the Evidence for Place Effects
Chyn, E. T., & Katz, L. F. (2021) · The Journal of Economic Perspectives · doi:10.1257/jep.35.4.197 · Cited by 167
Self-citationAssociation of Neighborhood-Level Disadvantage With Cerebral and Hippocampal Volume
Hunt, J. F. V., Buckingham, W. J., Kim, A. J., Oh, J. M., Vogt, N. M., Jonaitis, E. M., Hunt, T. K. A., Zuelsdorff, M. L., Powell, W. R., Norton, D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2019.4501 · Cited by 166
Gurewich, D. A., Garg, A., & Kressin, N. R. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-05720-6 · Cited by 162
Marrero, D. G., Ard, J., Delamater, A. M., Peragallo-Dittko, V., Mayer-Davis, E. J., Nwankwo, R., & Fisher, E. B. (2013) · Diabetes Care · doi:10.2337/dc12-2305 · Cited by 159
Chan, M. Y., Na, J., Agres, P. F., Savalia, N. K., Park, D. C., & Wig, G. S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714021115 · Cited by 166
The Upstream Determinants of Adult Obesity
Lakerveld, J., & Mackenbach, J. D. (2017) · Obesity Facts · doi:10.1159/000471489 · Cited by 165
Mika Kivimaki, B., Vahtera, J., Tabák, Á. G., Halonen, J. I., Vineis, P., Pentti, J., Pahkala, K., Rovio, S., Viikari, J. S. A., Kähönen, M. A. P., et al. (2018) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30111-7 · Cited by 157
The Impact of Housing Assistance on Child Outcomes: Evidence from a Randomized Housing Lottery *
Jacob, B. A., Kapustin, M., & Ludwig, J. (2014) · The Quarterly Journal of Economics · doi:10.1093/qje/qju030 · Cited by 149
Self-citationKessler, R. C., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kling, J. R., Sampson, N. A., Sanbonmatsu, L., Zaslavsky, A. M., & Ludwig, J. (2014) · JAMA · doi:10.1001/jama.2014.607 · Cited by 144
Self-citationRetractedBooth, G. L., Creatore, M. I., Moineddin, R., Gozdyra, P., Weyman, J. T., Matheson, F. I., & Glazier, R. H. (2012) · Diabetes Care · doi:10.2337/dc12-0777 · Cited by 139
Disparities in child and adolescent mental health and mental health services in the U.S.
Alegria, M. M., Green, J. G., McLaughlin, K. A., & Loder, S. (2015) · Cited by 139
Interventions Targeting Racial/Ethnic Disparities in Stroke Prevention and Treatment
Levine, D. A., Duncan, P. W., Nguyen‐Huynh, M. N., & Ogedegbe, O. (2020) · Stroke · doi:10.1161/strokeaha.120.030427 · Cited by 139
The Biosocial Approach to Human Development, Behavior, and Health Across the Life Course
Harris, K. M., & McDade, T. W. (2018) · RSF The Russell Sage Foundation Journal of the Social Sciences · doi:10.7758/rsf.2018.4.4.01 · Cited by 152
Self-citationPujades‐Rodríguez, M., Timmis, A., Stogiannis, D., Rapsomaniki, E., Denaxas, S., Shah, A. D., Feder, G. S., Mika Kivimaki, B., & Hemingway, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104671 · Cited by 137
Moss, B. G., & Yeaton, W. (2014) · Maternal and Child Health Journal · doi:10.1007/s10995-013-1357-z · Cited by 102
Social and Environmental Factors Influencing Obesity
Lee, A. M., Cardel, M. I., & Donahoo, W. T. (2019) · Europe PMC (PubMed Central) · Cited by 133
Stress habituation, body shape and cardiovascular mortality
Peters, A., & McEwen, B. S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.001 · Cited by 133
Is There a Paradox in Obesity?
Goyal, A., Nimmakayala, K. R., & Zonszein, J. (2014) · Cardiology in Review · doi:10.1097/crd.0000000000000004 · Cited by 132
Neighborhood Environments and Diabetes Risk and Control
Bilal, U., Auchincloss, A. H., & Roux, A. V. D. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1032-2 · Cited by 131
Epstein, D. H., Tyburski, M., Craig, I. M., Phillips, K. A., Jobes, M. L., Vahabzadeh, M., Mezghanni, M., Lin, J., Furr-Holden, D., & Preston, K. L. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.09.007 · Cited by 129
Chamberlain, A. M., Rutten, L. J. F., Wilson, P. M., Fan, C. L., Boyd, C. M., Jacobson, D. J., Rocca, W. A., & Sauver, J. L. S. (2020) · BMC Public Health · doi:10.1186/s12889-019-8123-0 · Cited by 121
White, J. S., Hamad, R., Li, X., Basu, S., Ohlsson, H., Sundquist, J., & Sundquist, K. (2016) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30009-2 · Cited by 120
Hahn, R. A., Truman, B. I., & Williams, D. R. (2018) · SSM - Population Health · doi:10.1016/j.ssmph.2017.10.006 · Cited by 115
Do Social and Economic Policies Influence Health? A Review
Osypuk, T. L., Joshi, P. K., Geronimo, K., & Acevedo‐García, D. (2014) · Current Epidemiology Reports · doi:10.1007/s40471-014-0013-5 · Cited by 115
Keene, D. E., Guo, M., & Murillo, S. N. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.11.051 · Cited by 121
Broyles, S. T., Staiano, A. E., Drazba, K. T., Gupta, A., SOTHERN, M. S., & Katzmarzyk, P. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045419 · Cited by 117
Can Social Policies Improve Health? A Systematic Review and Meta‐Analysis of 38 Randomized Trials
Courtin, É., Kim, S., SONG, S., Yu, W., & Muennig, P. A. (2020) · Milbank Quarterly · doi:10.1111/1468-0009.12451 · Cited by 117
Segregation, Income Disparities, and Survival in Hemodialysis Patients
Kimmel, P. L., Fwu, C., & Eggers, P. W. (2013) · Journal of the American Society of Nephrology · doi:10.1681/asn.2012070659 · Cited by 110
Neighborhood features and physiological risk: An examination of allostatic load
Robinette, J. W., Charles, S. T., Almeida, D. M., & Gruenewald, T. L. (2016) · Health & Place · doi:10.1016/j.healthplace.2016.08.003 · Cited by 118
Racial disparities in sleep: the role of neighborhood disadvantage
Fuller‐Rowell, T. E., Curtis, D. S., El‐Sheikh, M., Chae, D. H., Boylan, J. M., & Ryff, C. D. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2016.10.008 · Cited by 111
Psychosocial Factors and Hypertension
Cuevas, A. G., Williams, D. R., & Albert, M. A. (2017) · Cardiology Clinics · doi:10.1016/j.ccl.2016.12.004 · Cited by 116
Rigor, vigor, and the study of health disparities
Adler, N. E., Bush, N. R., & Pantell, M. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121399109 · Cited by 109
Parenteau, M.-P., & Sawada, M. C. (2011) · International Journal of Health Geographics · doi:10.1186/1476-072x-10-58 · Cited by 108
Wang, M., Pantell, M. S., Gottlieb, L. M., & Adler-Milstein, J. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab194 · Cited by 107
Racial/ethnic residential segregation and cardiovascular disease risk
Kershaw, K. N., & Albrecht, S. S. (2015) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-015-0436-7 · Cited by 113
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
