The DOI matches its Crossref record; 44 of the 49 references it cites were found in a registry or an index.
Proportion of Cancer Cases Attributable to Excess Body Weight by US State, 2011-2015
Open accessAbstract
Importance: Excess body weight (EBW) is an established cause of cancer. Despite variations in the prevalence of EBW among US states, there is little information on the EBW-related cancer burden by state; this information would be useful for setting priorities for cancer-control initiatives. Objective: To calculate the population attributable fraction (PAF) of incident cancer cases attributable to EBW among adults 30 years or older in 2011 to 2015 in all 50 states and the District of Columbia. Design, Setting, and Participants: State-level, self-reported body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]) data from the Behavioral Risk Factor Surveillance System were adjusted by sex, age, race/ethnicity, and education using objectively measured BMI values from the National Health and Nutrition Examination Survey. Age- and sex-specific cancer incidence data by state were obtained from the US Cancer Statistics database. All analyses were performed between February 15, 2018, and July 17, 2018. Main Outcomes and Measures: Sex-, age-, and state-specific adjusted prevalence estimates for 4 high BMI categories and corresponding relative risks from large-scale pooled analyses or meta-analyses were used to compute the PAFs for each US state for esophageal adenocarcinoma, multiple myeloma, and cancers of the gastric cardia, colorectum, liver, gallbladder, pancreas, female breast, corpus uteri, ovary, kidney and renal pelvis, and thyroid. Results: Each year, an estimated 37 670 cancer cases in men (4.7% of all cancer cases excluding nonmelanoma skin cancers) and 74 690 cancer cases in women (9.6%) 30 years or older in the United States were attributable to EBW from 2011 to 2015. In both men and women, there was at least a 1.5-fold difference in the proportions of cancers attributable to EBW between states with the highest and lowest PAFs. Among men, the PAF ranged from 3.9% (95% CI, 3.6%-4.3%) in Montana to 6.0% (95% CI, 5.6%-6.4%) in Texas. The PAF for women was approximately twice as high as for men, ranging from 7.1% (95% CI, 6.7%-7.6%) in Hawaii to 11.4% (95% CI, 10.7%-12.2%) in the District of Columbia. The largest PAFs were found mostly in southern and midwestern states, as well as Alaska and the District of Columbia. Conclusions and Relevance: The proportion of cancers attributable to EBW varies among states, but EBW accounts for at least 1 in 17 of all incident cancers in each state. Broad implementation of known community- and individual-level interventions is needed to reduce access to and marketing of unhealthy foods (eg, through a tax on sugary drinks) and to promote and increase access to healthy foods and physical activity, as well as preventive care.
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 cited source says what the claim attributes to it.
In the citing paper
“Obesity, characterized by excessive body fat, constitutes a major risk factor for the development of type 2 diabetes (T2D), dyslipidemia, cardiometabolic disease1, cancer2, and overall mortality3.”
From Transforming obesity: The advancement of multi-receptor drugs (2024) · cites this paper as [2]
Experimental — accuracy not yet measured
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2018) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21442 · Cited by 16,632
Self-citationRenehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60269-x · Cited by 5,219
Body Fatness and Cancer — Viewpoint of the IARC Working Group
Lauby-Secretan, B., Scoccianti, C., Loomis, D., Grosse, Y., Bianchini, F., & Straif, K. (2016) · New England Journal of Medicine · doi:10.1056/nejmsr1606602 · Cited by 3,596
Kushi, L. H., Byers, T., Doyle, C., Bandera, E. V., McCullough, M., Gansler, T., Andrews, K. S., Thun, M. J., & The American Cancer Society 2006 Nutrition and Physical Activity Guidelines Advisory Committee (2006) · CA A Cancer Journal for Clinicians · doi:10.3322/canjclin.56.5.254 · Cited by 1,901
Hales, C. M., Fryar, C. D., Carroll, M. D., Freedman, D. S., & Ogden, C. L. (2018) · JAMA · doi:10.1001/jama.2018.3060 · Cited by 1,761
Islami, F., Goding Sauer, A., Miller, K. D., Siegel, R. L., Fedewa, S. A., Jacobs, E. J., McCullough, M. L., Patel, A. V., Ma, J., Soerjomataram, I., et al. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21440 · Cited by 1,610
Self-citationMokdad (2018) · doi:10.1001/jama.2018.0158 · Cited by 1,517
American Cancer Society guidelines on nutrition and physical activity for cancer prevention
Kushi, L. H., Doyle, C., McCullough, M. L., Rock, C. L., Demark‐Wahnefried, W., Bandera, E. V., Gapstur, S. M., Patel, A. V., Andrews, K. S., & Gansler, T. S. (2012) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.20140 · Cited by 1,399
Self-citationColchero, M. A., Popkin, B. M., Rivera, J. Á., & Ng, S. W. (2016) · BMJ · doi:10.1136/bmj.h6704 · Cited by 881
Screening for Obesity in Children and Adolescents
US Preventive Services Task Force, Grossman, D. C., Bibbins-Domingo, K. B., Curry, S. J., Barry, M. J., Davidson, K. W., Doubeni, C. A., Epling, J. W., Kemper, A. R., Krist, A. H., et al. (2017) · JAMA · doi:10.1001/jama.2017.6803 · Cited by 837
Smart food policies for obesity prevention
Hawkes, C., Smith, T. G., Jewell, J., Wardle, J., Hammond, R. A., Friel, S., Thow, A. M., & Kain, J. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61745-1 · Cited by 836
Recommended community strategies and measurements to prevent obesity in the United States.
Khan, L. K., Sobush, K. E., Keener, D., Goodman, K. W., Lowry, A., Kakietek, J. J., & Zaro, S. (2009) · PubMed · Cited by 585
US Preventive Services Task Force, Curry, S. J., Krist, A. H., Owens, D. K., Barry, M. J., Caughey, A. B., Davidson, K. W., Doubeni, C. A., Epling, J. W., Grossman, D. C., et al. (2018) · JAMA · doi:10.1001/jama.2018.13022 · Cited by 563
Ogden, C. L., Carroll, M. D., Fakhouri, T. H., Hales, C. M., Fryar, C. D., Li, X., & Freedman, D. S. (2018) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6706a3 · Cited by 475
Prevalence of obesity among adults, by household income and education—United States, 2011-2014.
Ogden, C. L., Fakhouri, T. H., Carroll, M. D., Hales, C. M., Fryar, C. D., Li, X., & Freedman, D. S. (2017) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6650a1 · Cited by 456
A review of adjusted estimators of attributable risk
Bénichou, J. (2001) · Statistical Methods in Medical Research · doi:10.1177/096228020101000303 · Cited by 440
Silver, L. D., Ng, S. W., Ryan‐Ibarra, S., Taillie, L. S., Induni, M., Miles, D. R., Poti, J. M., & Popkin, B. M. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002283 · Cited by 436
Steele, C. B., Thomas, C. C., Henley, S. J., Massetti, G. M., Galuska, D. A., Agurs‐Collins, T., Puckett, M., & Richardson, L. C. (2017) · MMWR Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6639e1 · Cited by 416
Ezzati, M., Martin, H. B., Skjold, S., Hoorn, S. V., & Murray, C. J. L. (2006) · Journal of the Royal Society of Medicine · doi:10.1177/014107680609900517 · Cited by 378
Merrill, R. M., & Richardson, J. S. (2009) · PubMed Central · Cited by 317
Song, M., & Giovannucci, E. L. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.0843 · Cited by 290
A pooled analysis of 14 cohort studies of anthropometric factors and pancreatic cancer risk
Genkinger, J. M., Spiegelman, D. L., Anderson, K. E., Bernstein, L., van den Brandt, P. A., Calle, E. E., English, D. R., Folsom, A. R., Freudenheim, J. L., Fuchs, C. S., et al. (2010) · International Journal of Cancer · doi:10.1002/ijc.25794 · Cited by 279
McCullough, M. L., Patel, A. V., Kushi, L. H., Patel, R., Willett, W. C., Doyle, C., Thun, M. J., & Gapstur, S. M. (2011) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-10-1173 · Cited by 266
Self-citationBehavioral Treatment of Obesity in Patients Encountered in Primary Care Settings
Wadden, T. A., Butryn, M. L., Hong, P. S., & Tsai, A. G. (2014) · JAMA · doi:10.1001/jama.2014.14173 · Cited by 264
Kitahara, C. M., McCullough, M. L., Franceschi, S., Rinaldi, S., Wolk, A., Neta, G. I., Adami, H., Anderson, K. E., Andreotti, G., Freeman, L. E. B., et al. (2016) · Thyroid · doi:10.1089/thy.2015.0319 · Cited by 203
Interval estimation by simulation as an alternative to and extension of confidence intervals.
Greenland, S. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh276 · Cited by 202
Kabat, G. C., Matthews, C. E., Kamensky, V., Hollenbeck, A. R., & Rohan, T. E. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.094854 · Cited by 157
Estimating population attributable fractions to quantify the health burden of obesity
Flegal, K. M., Panagiotou, O. A., & Graubard, B. I. (2015) · Annals of Epidemiology · doi:10.1016/j.annepidem.2014.11.010 · Cited by 148
Song, M., Hu, F. B., Wu, K., Must, A., Chan, A. T., Willett, W. C., & Giovannucci, E. L. (2016) · BMJ · doi:10.1136/bmj.i2195 · Cited by 134
Body size and multiple myeloma mortality: a pooled analysis of 20 prospective studies
Teras, L. R., Kitahara, C. M., Birmann, B. M., Hartge, P. A., WANG, S. S., Robien, K., Patel, A. V., Adami, H., Weiderpass, E., Giles, G. G., et al. (2014) · British Journal of Haematology · doi:10.1111/bjh.12935 · Cited by 110
Self-citationConfounding and Bias in the Attributable Fraction
Darrow, L. A., & Steenland, N. K. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181fce49b · Cited by 97
Le, A. T.-K., Judd, S. E., Allison, D. B., Oza‐Frank, R. B., Affuso, O., Safford, M. M., Howard, V. J., & Howard, G. (2013) · Obesity · doi:10.1002/oby.20451 · Cited by 85
Levi, Z., Kark, J. D., Katz, L. H., Twig, G., Derazne, E., Tzur, D., Weissman, Y. L., Leiba, A., Lipshiez, I., Keinan‐Boker, L., et al. (2017) · Cancer · doi:10.1002/cncr.30819 · Cited by 72
Brief Primary Care Obesity Interventions: A Meta-analysis
Sim, L. A., Lebow, J., Wang, Z., Koball, A., & Murad, M. (2016) · Pediatrics · doi:10.1542/peds.2016-0149 · Cited by 69
Pomeranz, J. L., Wilde, P., Huang, Y., Micha, R., & Mozaffarian, D. (2018) · American Journal of Public Health · doi:10.2105/ajph.2017.304159 · Cited by 47
Cauchi, D., Glonti, K., Petticrew, M. P., & Knai, C. (2016) · Obesity Reviews · doi:10.1111/obr.12441 · Cited by 44
Andersen, S. W., Blot, W. J., Shu, X., Sonderman, J. S., Steinwandel, M. D., Hargreaves, M. K., & Zheng, W. (2016) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-15-1186 · Cited by 36
How to influence the obesity landscape using health policies
Peeters, A., & Backholer, K. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.24 · Cited by 24
Pomeranz, J. L., Siddiqi, A., Bolanos, G. J., Shor, J. A., & Hamad, R. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.08.028 · Cited by 21
Cancer incidence attributable to excess body weight in Alberta in 2012
Brenner, D. R., Poirier, A. E., Grundy, A. L., Khandwala, F., McFadden, A., & Friedenreich, C. M. (2017) · CMAJ Open · doi:10.9778/cmajo.20160039 · Cited by 11
WHO calls for tax on sugary drinks to tackle child obesity
Gulland, A. (2016) · BMJ · doi:10.1136/bmj.i475 · Cited by 6
Dietary and Physical Activity Counseling Trends in U.S. Children, 2002–2011
Odulana, A., Basco, W. T., Bishu, K. G., & Egede, L. E. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2017.01.039 · Cited by 6
The Judicial Threat to Public Health Innovation — The Sword of Boreali
Merrill, T. G., López, W., Perl, S. B., & Bassett, M. T. (2018) · New England Journal of Medicine · doi:10.1056/nejmp1712636 · Cited by 2
Research works printed but not linked: 1
- American Cancer Society Cancer Action Network. How do you measure up? A progress report on state legislative activity to reduce cancer incidence and mortality, 15th Edition. https://www.fightcancer.org/sites/default/files/National%20Documents/HDYMU-2017.pdf. Accessed March 14, 2018.
Cited by
Sorted by citations
Obesity Shapes Metabolism in the Tumor Microenvironment to Suppress Anti-Tumor Immunity
Ringel, A. E., Drijvers, J. M., Baker, G. J., Catozzi, A., García-Cañaveras, J. C., Gassaway, B. M., Miller, B. C., Juneja, V. R., Nguyen, T. H., Joshi, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.11.009 · Cited by 780
Obesity and Cancer: A Current Overview of Epidemiology, Pathogenesis, Outcomes, and Management
Pati, S., Irfan, W., Jameel, A., Ahmed, S., & Shahid, R. K. (2023) · Cancers · doi:10.3390/cancers15020485 · Cited by 677
Review: Diabetes, Obesity, and Cancer—Pathophysiology and Clinical Implications
Lega, I. C., & Lipscombe, L. L. (2019) · Endocrine Reviews · doi:10.1210/endrev/bnz014 · Cited by 381
Healthy Lifestyle and Cancer Risk: Modifiable Risk Factors to Prevent Cancer
Marino, P., Mininni, M., Deiana, G., Marino, G., Divella, R., Bochicchio, I., Giuliano, A., Lapadula, S., Lettini, A. R., & Sanseverino, F. (2024) · Nutrients · doi:10.3390/nu16060800 · Cited by 292
Islami, F., Marlow, E. C., Thomson, B., McCullough, M. L., Rumgay, H., Gapstur, S. M., Patel, A. V., Soerjomataram, I., & Jemal, A. (2024) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21858 · Cited by 228
Self-citation
Metadata
- Authors
- Islami, F., Goding Sauer, A., Gapstur, S. M., & Jemal, A.
- Affiliations
- American Cancer Society (US)
- Surveillance and Health Services Research, American Cancer Society, Atlanta, Georgia
- Corresponding author
- Islami, Farhad
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2019-03-01
- Volume
- 5
- Issue
- 3
- Pages
- 384
- ISSN
- 2374-2437 (ISSN-L)
- PMC
- PMC6521676
- OpenAlex
- W2906817819
- Cited by
- 153
- References
- 49
- Citations by year
- 2026: 17 · 2025: 20 · 2024: 25 · 2023: 33 · 2022: 24 · 2021: 13 · 2020: 10 · 2019: 10
- FWCI
- 3.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Oncology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Risks and Factors
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- overweight, obesity, cancer incidence, population attributable fraction, body mass index, state-level variation, cancer burden, esophageal adenocarcinoma, multiple myeloma, colorectal cancer, liver cancer, breast cancer, ovarian cancer, cancer prevention, sex differences in cancer risk, United States states
- MeSH terms
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Neoplasms, Nutrition Surveys, Obesity, Risk Factors, Time Factors, United States, Weight Gain, Body Mass Index, Incidence, Prevalence, Age Distribution, Sex Distribution, SEER Program, Risk Assessment
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