Cited by 167Urban Transport and AccessibilityHealth disparities and outcomesUrban Green Space and Health

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Neighborhood Resources for Physical Activity and Healthy Foods and Their Association With Insulin Resistance

Auchincloss, Amy H., Diez Roux, Ana V., Brown, Daniel G., Erdmann, Christine A., Bertoni, Alain G.·2008·Epidemiology

Open this paper in CoChat — free account

Abstract

OBJECTIVE: : Little is known about the influence of the built environment, and in particular neighborhood resources, on health. We hypothesized that neighborhood resources for physical activity and healthy foods are associated with insulin resistance. METHODS: : Person-level data (n = 2026) came from 3 sites of The Multi-Ethnic Study of Atherosclerosis, a study of adults aged 45-84 years. Area-level data were derived from a population-based residential survey. The homeostasis model assessment index was used as an insulin resistance measure among persons not treated for diabetes. We used linear regression to estimate associations between area features and insulin resistance. RESULTS: : Greater neighborhood physical activity resources consistently were associated with lower insulin resistance. Adjusted for age, sex, family history of diabetes, race/ethnicity, income and education, insulin resistance was reduced by 17% (95% confidence interval = -31% to -1%) for an increase from the 10th to 90th percentiles of resources. Greater healthy food resources were also inversely related to insulin resistance, although the association was not robust to adjustment for race/ethnicity. Analyses including diet, physical activity, and body mass index suggested that these variables partly mediated observed associations. Results were similar when impaired fasting glucose/diabetes was considered as the outcome variable. CONCLUSION: : Diabetes prevention efforts may need to consider features of residential environment.

Integrity signals

Registry

Crossref · 10.1097/ede.0b013e31815c480

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Generalized Additive Models
Hastie, T., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013604 · Cited by 12,575
SAS System for Mixed Models
Littell, R. C. (1996) · Medical Entomology and Zoology · Cited by 10,345
Compendium of physical activities: an update of activity codes and MET intensities
AINSWORTH, B. E., HASKELL, W. L., WHITT, M. C., IRWIN, M. L., SWARTZ, A. M., STRATH, S. J., O???BRIEN, W. L., BASSETT, D. R., SCHMITZ, K. H., EMPLAINCOURT, P. O., et al. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00009 · Cited by 8,497
Generalized Additive Models.
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,263
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114
Multi-Ethnic Study of Atherosclerosis: Objectives and Design
Bild, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf113 · Cited by 3,942
Follow-up report on the diagnosis of diabetes mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3160 · Cited by 3,784
Interactive Spatial Data Analysis
Bailey, T., & Gatrell, A. C. (1995) · Medical Entomology and Zoology · Cited by 1,813
Statistical Models in S
Chambers, J. M., Hastie, T. J., & Pregibon, D. (1990) · Physica-Verlag eBooks · doi:10.1007/978-3-642-50096-1_48 · Cited by 1,784

Show all 61 references

Sorted by citations

Items 101–166 of 166

Social Determinants of Health and Preclinical Glycemic Control in Newly Diagnosed First-Episode Psychosis Patients
Veru, F., Rho, A., King, S., Joober, R., Pruessner, M., MALLA, A. K., & Iyer, S. N. (2018) · The Canadian Journal of Psychiatry · doi:10.1177/0706743718762097 · Cited by 16
The Good Food Junction: a Community-Based Food Store Intervention to Address Nutritional Health Inequities
Engler‐Stringer, R., Muhajarine, N., Ridalls, T., Abonyi, S., Vatanparast, H., Whiting, S. J., & Walker, R. C. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5303 · Cited by 16
Poor, Unsafe, and Overweight: The Role of Feeling Unsafe at School in Mediating the Association Among Poverty Exposure, Youth Screen Time, Physical Activity, and Weight Status
Côté‐Lussier, C., Fitzpatrick, C., Séguin, L., & Barnett, T. A. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv005 · Cited by 16
Kernel Density Estimation as a Measure of Environmental Exposure Related to Insulin Resistance in Breast Cancer Survivors
Jankowska, M. M., Natarajan, L., Godbole, S. V., Meseck, K., Sears, D. D., Patterson, R. E., & Kerr, J. (2017) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0927 · Cited by 15
National evidence based guideline for the primary prevention of type 2 diabetes
Gómez, M. D. C., Walker, K. Z., & Buckley, A. (2009) · Cited by 13
Cardiorespiratory Fitness without Exercise Testing Can Predict All-Cause Mortality Risk in a Representative Sample of Korean Older Adults
Song, M., Lee, I., & Kang, H. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16091633 · Cited by 13
Resident characteristics and neighborhood environments on health‐related quality of life and stress
Barile, J. P., Kuperminc, G. P., & Thompson, W. (2017) · Journal of Community Psychology · doi:10.1002/jcop.21907 · Cited by 14
The Association Between Diet and Physical Activity on Insulin Resistance in the Women's Interagency HIV Study
Hessol, N. A., Ameli, N., Cohen, M. H., Urwin, S., Weber, K. M., & Tien, P. C. (2012) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e318275d6a4 · Cited by 12
Social Determinants of Health Phenotypes and Cardiometabolic Condition Prevalence Among Patients in a Large Academic Health System: Latent Class Analysis
Howell, C. R., Zhang, L., Clay, O. J., Dutton, G. R., Horton, T. V., Mugavero, M. J., & Cherrington, A. (2024) · JMIR Public Health and Surveillance · doi:10.2196/53371 · Cited by 10
Small and large size for gestational age and neighborhood deprivation measured within increasing proximity to homes
Wentz, A. E., Messer, L. C., Nguyen, T. D., & Boone‐Heinonen, J. (2014) · Health & Place · doi:10.1016/j.healthplace.2014.08.010 · Cited by 13
Neighborhood conditions, diabetes, and risk of lower-body functional limitations among middle-aged African Americans: A cohort study
Schootman, M., Andresen, E. M., Wolinsky, F. D., Miller, J. P., Yan, Y., & Miller, D. K. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-283 · Cited by 11
Neighbourhood property value and type 2 diabetes mellitus in the Maastricht study: A multilevel study
Consolazio, D., Koster, A., Sarti, S., Schram, M. T., Stehouwer, C. D. A., Timmermans, E. J., Wesselius, A., & Bosma, H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0234324 · Cited by 11
Relative Contribution of Individual, Community, and Health System Factors on Glycemic Control Among Inner-City African Americans with Type 2 Diabetes
Campbell, J. A., Yan, Q., Walker, R. E., Weinhardt, L. S., Wang, Y., Walker, R. J., & Egede, L. E. (2020) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-020-00795-7 · Cited by 10
Adults with Diagnosed and Untreated Diabetes: Who Are They? How Can We Reach Them?
Hill, S. C., Miller, G. E., & Sing, M. (2011) · Journal of Health Care for the Poor and Underserved · doi:10.1353/hpu.2011.0149 · Cited by 9
Incidence of Diabetes Mellitus Narrowly Correlates with Unemployment Rate during 2000-2012 in the Czech Republic
Brož, J., Brabec, M., Žďarská, D. J., Novotná, M., & Kvapil, M. (2016) · Central European Journal of Public Health · doi:10.21101/cejph.a4680 · Cited by 9
Mediation of an association between neighborhood socioeconomic environment and type 2 diabetes through the leisure-time physical activity environment in an analysis of three independent samples
Moon, K. A., Nordberg, C. M., Orstad, S. L., Zhu, A., Uddin, J., LOPEZ, P. M., Schwartz, M. D., Ryan, V., Hirsch, A. G., Schwartz, B. S., et al. (2023) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2022-003120 · Cited by 9
Race- and sex-specific associations of parental education with insulin resistance in middle-aged participants: the CARDIA study
Tamayo, T., Jacobs, D. R., Straßburger, K., Giani, G., Seeman, T. E., Matthews, K. A., Roseman, J. M., & Rathmann, W. (2012) · European Journal of Epidemiology · doi:10.1007/s10654-012-9691-9 · Cited by 9
Socioecological Determinants of Prediabetes and Type 2 Diabetes: Agenda for Action
Gary‐Webb, T. L., Giachello, A. L. M., Maier, K., & Skrabak, H. (2014) · Clinical Diabetes · doi:10.2337/diaclin.32.3.140 · Cited by 9
Immigrant enclaves and risk of diabetes: a prospective study
Mezuk, B. R., Cederin, K., Li, X., Rice, K., Kendler, K. S., Sundquist, J., & Sundquist, K. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-1093 · Cited by 8
Perspectives From Underserved African Americans and Their Health Care Providers on the Development of a Diabetes Self-Management Smartphone App: Qualitative Exploratory Study
Barber-Gumbs, T., Lagerros, Y. T., Sena, L., Gittelsohn, J., Chang, L. W., Zachary, W. W., & Surkan, P. J. (2020) · JMIR Formative Research · doi:10.2196/18224 · Cited by 6
The influence of incarceration and Re-entry on the availability of health care organizations in Arkansas
Wallace, D., Eason, J., & Lindsey, A. M. (2015) · Health & Justice · doi:10.1186/s40352-015-0016-4 · Cited by 15
Adolescent development and schooling in the digital age
Kreniske, P., Spindler, E., & Santelli, J. S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817319-0.00001-3 · Cited by 8
ASSESSING PHYSICAL DISORDER IN URBAN NEIGHBORHOODS: RELIABILITY AND VALIDITY OF THE PARCEL MAINTENANCE OBSERVATION TOOL
Reischl, T. M., Krusky, A. M., Zimmerman, M. A., Aiyer, S. M., Kruger, D. J., Franzen, S. P., & Lipton, R. I. (2015) · Journal of Community Psychology · doi:10.1002/jcop.21730 · Cited by 7
Health-Promoting Home and Workplace Neighborhoods: Associations With Multiple Facets of Men’s Health
Coulombe, S., Meunier, S., Cloutier, L., Auger, N., Roy, B., Tremblay, G., de Montigny, F., Gaboury, I., Bernard, F.-O., Lavoie, B., et al. (2016) · American Journal of Men s Health · doi:10.1177/1557988315625774 · Cited by 7
Neighborhood Environment and Type 2 Diabetes Comorbidity in Serious Mental Illness
Walsan, R., Feng, X., Mayne, D. J., Pai, N. B., & Bonney, A. D. (2020) · Journal of Primary Care & Community Health · doi:10.1177/2150132720924989 · Cited by 5
Association of neighborhood physical activity facilities with incident cardiovascular disease
Huang, Y.-L., Zhao, H., Deng, Q., Qi, Y., Sun, J., Wang, M., Chang, J., Hu, P., Su, Y., Long, Y., et al. (2023) · International Journal of Health Geographics · doi:10.1186/s12942-023-00340-9 · Cited by 6
Methods to Measure Neighbourhoods and Analyse Their Impact on Health: An Overview
Voigtländer, S., Razum, O., & Berger, U. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6672-7_6 · Cited by 6
Nonparametric Generation of Synthetic Data for Small Geographic Areas
Sakshaug, J. W., & Raghunathan, T. E. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11257-2_17 · Cited by 5
Structural and social determinants of health: The multi-ethnic study of atherosclerosis
Besser, L. M., Forrester, S., Arabadjian, M. E., Bancks, M. P., Culkin, M. C., Hayden, K. M., Le, E. T., Pierre‐Louis, I. C., & Hirsch, J. A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0313625 · Cited by 5
Changing Epidemiology of Obesity — Implications for Diabetes
Webber, J. (2004) · doi:10.1002/0470011106.ch1 · Cited by 4
Association of the built environment and neighborhood resources with obesity-related health behaviors in older veterans with hypertension.
Albanese, N. N. Y., Lin, I., Friedberg, J. P., Lipsitz, S. R., Rundle, A., Quinn, J. W., Neckerman, K. M., Nicholson, A., Allegrante, J. P., Wylie‐Rosett, J., et al. (2022) · Health Psychology · doi:10.1037/hea0001161 · Cited by 3
The Structure of Pandemic Vulnerability: Housing Wealth, Residential Segregation, and COVID-19 Mortality
Agbai, C. O. (2023) · Population Research and Policy Review · doi:10.1007/s11113-023-09826-7 · Cited by 3
Leveraging Policy Solutions for Diabetes Disparities: Suggestions for Improving the National Clinical Care Commission Report’s Recommendations for Hispanic/Latino Populations
Shenoy, D. A., Rodriguez, S. A., Gutiérrez, J., Thoumi, A. I., Correia, M., Dokun, A. O., & Corsino, L. (2024) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-024-02027-8 · Cited by 3
Longitudinal Associations of Physical Activity Patterns and the Environment: An 18-Year Follow-Up to the MESA Study
Parra, M. T., de Moraes, A. C. F., Ferreira, M. V. N., Mills, P. J., & Allison, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191710925 · Cited by 3
Unveiling the link between ACR TI-RADS grading and Bethesda score of thyroid nodules in diabetic patients: A comprehensive analysis
Wang, Y., Chen, X., Chen, Y., Xie, F., Wang, Z., Mao, R., & Wang, L. (2024) · Biomolecules and Biomedicine · doi:10.17305/bb.2024.10670 · Cited by 2
Association between healthy food environment and metabolic syndrome, waist circumference, and systolic blood pressure in older adults in Southern Brazil
de Souza, B. B., Quialheiro, A., Corrêa, E. N., Rech, C. R., Giehl, M. W. C., & d’Orsi, E. (2022) · Frontiers in Aging · doi:10.3389/fragi.2022.922687 · Cited by 3
Health Disparities in a Diverse County: Investigating Interactions between Residents and Neighborhoods
Barile, J. P. (2022) · Digital Archive @ GSU · doi:10.57709/1664547 · Cited by 1
Gröna miljöer och hälsa - hur mäter man effekterna?
Björk, J. (2012) · Socialmedicinsk tidskrift · doi:10.62607/smt.v89i3.43544 · Cited by 1
Environmental Disparities Present a Challenge for Diabetes Prevention and Management Efforts in Dallas County
Mendoza, T., Sharma, S., Daughty, P., Cooper, C., Ou, J., Tubb, L., & Jenkins, K. M. (2014) · Digital Scholarship - UNLV (University of Nevada Reno) · Cited by 1
Environmental Basis of Cardiovascular Disease
Bhatnagar, A. (2010) · Royal Society of Chemistry eBooks · doi:10.1039/9781849732307-00001 · Cited by 1
Measuring the Impact of Complete Streets Projects: Preliminary Field Testing
Lenker, J., Maisel, J. L., & Ranahan, M. E. (2016) · Cited by 1
The Monstering of Diabetes: The Failure of Fear and Sarcasm in Public Health PSAs
Martin, C. (2021) · Palgrave studies in science and popular culture · doi:10.1007/978-3-030-83110-3_16 · Cited by 1
The association of perceived and objective built environment features with physical activity, adiposity and blood glucose
Gašević, D. (2014) · Summit (Simon Fraser University) · Cited by 1
Lifecourse socioeconomic position & cardiovascular health
Lemelin, E. T. (2008) · Deep Blue (University of Michigan) · Cited by 1
Ethnic Variation in Prediabetes Incidence and Outcomes among Immigrants and Long-Term Residents
Fazli, G. S. (2018) · TSpace (University of Toronto) · Cited by 1
The Association Between the Neighbourhood Food Environment and Prevalence of Three Chronic Diseases in Urban Canada: A Cross-Sectional Analysis
Pandher, J. S. (2015) · Scholarship@Western (Western University)
Association between demographic characteristics and fast food menu labeling use and awareness among adults living in the Southwest
Green, J. E. (2013) · 141st APHA Annual Meeting and Exposition (November 2 - November 6, 2013)
Racial and Ethnic Disparities in Type-2 Diabetes: A Multilevel Perspective
Piccolo, R. S. (2016) · LSHTM Research Online (London School of Hygiene and Tropical Medicine) · doi:10.17037/pubs.02537689
NIDDK International Conference Report on Diabetes and Depression: Current Understanding and Future
Holt, R. I. G., de Groot, M., Lucki, I., Hunter, C. M., Sartorius, N., & Golden, S. H. (2014)
How Ethnic Enclaves Affect Diabetes and Depression Risk Among Older Mexican-origin Latinos in the Southwest
Durazo, E. M. (2016) · eScholarship (California Digital Library)
Space, place, and disorder in urban emergency medical services work
Prener, C. G. (2015) · Digital Repository Service (Northeastern University) · doi:10.17760/d20195371
A diabetes mellitus tipo 2 na área metropolitana do Porto: o risco de uma realidade amarga provocada também pelo (des)ordenamento território
Sousa, C., & Monteiro, A. (2016) · Territorium · doi:10.14195/1647-7723_23_5
How do changes in the neighborhood food environment influence diet and body mass index over time? An innovative method using 20 years of spatial, diet, and anthropometry data
Richardson, A. S. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/emed-rr73
Price of unhealthy food relative to healthy food and its association with diet quality, diabetes, and insulin resistance in a multi-ethnic population
Kern, D. M., & Auchincloss, A. H. (2016) · iDEA - Drexel University Institutional Repository · doi:10.17918/etd-7109
The Relationship between the Neighborhood Food Environment, Health Behaviors and Health Outcomes among Urban Hispanics in New York City
Co, & Manuel, C. (2016) · doi:10.7916/d8348kt5
Delaware Medicaid participants with type II diabetes: trends in care utilization, and implications for Medicaid policy
Chizeck, S. (2017) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/qh7x-0557
Exploring the Association Between Health Disparities and Neighborhood Characteristics: The Case of Diabetes Mortality in DeKalb and Fulton Counties, Georgia
Rukmana, D., & Jelks, N. O. (2020) · International handbooks of quality-of-life · doi:10.1007/978-3-030-50540-0_17
Influence of perceived neighbourhood environment and health behaviours on body mass index
Lim, H., & Lim, N. H. H. (2019) · UTM Institutional Repository
DATA ANALYTICS
Serban, N. (2019) · doi:10.1002/9781119601340.ch6
Obesity and Diabetes
Muthukumar, A., & Khatija, R. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824312-1.00016-9
Ambiente alimentario y diabetes mellitus tipo 2 en Chalcatongo de Hidalgo, Tlaxiaco, Oaxaca, México
Osorio-Cortés, J. O., Hernández, J. G., & Casas, C. Á. G. (2023) · Alad · doi:10.24875/alad.23000006
The Intersection of Income, Neighborhood Conditions, and the Risk of Diabetes among Members of Underrepresented Racial GroupsPreprint
Folorunsho, S. A., Ajayi, V., & Okyere, M. (2024) · Research Square · doi:10.21203/rs.3.rs-3841649/v1
The Color of COVID: Historicizing the Structural Disparities That Drive Disproportionate Mortality Rates Among African American Communities
Pyles, M. A., Iacobucci, A., Downey, L. C., & Modile, A. (2024) · Humanity & Society · doi:10.1177/01605976241299396
Additional file 1 of The good, the bad, and the environment: developing an area-based measure of access to health-promoting and health-constraining environments in New Zealand
Marek, L., Hobbs, M., Wiki, J., Kingham, S., & Campbell, M. H. (2021) · Figshare · doi:10.6084/m9.figshare.14379594
Additional file 1 of Association of neighborhood physical activity facilities with incident cardiovascular disease
Huang, Y., Zhao, H., Deng, Q., Qi, Y., Sun, J., Wang, M., Chang, J., Hu, P., Su, Y., Long, Y., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23804936
Vouzela Ativa: uma visão integrada de uma população em termos auxológicos e epidemiológicos
de Chaves, R. N. (2013) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/4evv-e363

Authors: Auchincloss, A. H., Diez Roux, A. V., Brown, D. G., Erdmann, C. A., & Bertoni, A. G.
Affiliations: University of Michigan (US)
Wake Forest University Health Sciences (US)
Corresponding author: Auchincloss, Amy H.
Erdmann, Christine A.
ORCID: Auchincloss, Amy H.
Brown, Daniel G.
Bertoni, Alain G.
Venue: Epidemiology
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2008-01
Volume: 19
Issue: 1
Pages: 146-157
ISSN: 1044-3983 (ISSN-L)
DOI: 10.1097/ede.0b013e31815c480
OpenAlex: W2097353971
Cited by: 167
References: 61
Citations by year: 2024: 7 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 10 · 2019: 10 · 2018: 11 · 2017: 13 · 2016: 18 · 2015: 12 · 2014: 12 · 2013: 10 · 2012: 13
FWCI: 29.29
Type: journal article
Language: en
Open access: closed
Locations: Epidemiology (publishedVersion)
PubMed (publishedVersion)
Deep Blue (University of Michigan) (submittedVersion)
Funders: National Institutes of Health (n01hc95166-21-0-1, n01hc95159-40-0-1)
National Heart, Lung, and Blood Institute (N01 HC-95159, N01‐HC‐95166)
Topics: Social Sciences › Transportation › Urban Transport and Accessibility
Social Sciences › Health › Health disparities and outcomes
Social Sciences › Urban Studies › Urban Green Space and Health
Keywords: insulin resistance, neighborhood built environment, physical activity resources, healthy food access, diabetes prevention, residential environment, HOMA, impaired fasting glucose, body mass index
MeSH terms: Aged, Cross-Sectional Studies, Diabetes Mellitus, Diet, Environment Design, Female, Humans, Insulin Resistance, Interviews as Topic, Life Style, Male, Middle Aged, Motor Activity, Nutrition Surveys, Residence Characteristics, United States, Body Mass Index

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

Neighborhood Resources for Physical Activity and Healthy Foods and Their Association With Insulin Resistance

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks