The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Smoking vs Other Risk Factors as the Cause of Smoking-Attributable Deaths: Confounding in the Courtroom
Abstract
CONTEXT: The surgeon general estimates that more than 400,000 deaths are attributable to smoking annually in the United States. The tobacco industry has criticized the surgeon general's estimates because they do not control for the lower educational and socioeconomic status of modern-day smokers. OBJECTIVE: To determine whether controlling for education, occupation, race, alcohol consumption, and various dietary factors, in addition to age and sex, substantially alters the relative and attributable risk estimates associated with tobacco smoking. DESIGN, SETTING, AND PARTICIPANTS: Nationwide American Cancer Society prospective cohort study of 974, 150 US adults aged 30 years or older, enrolled in 1982 and followed up through 1988. (The same study is used for the surgeon general and Centers for Disease Control and Prevention [CDC] estimates of smoking-attributable deaths in the United States.) MAIN OUTCOME MEASURES: Death from each of the chronic diseases considered in the CDC's estimate of smoking-attributable mortality (cancers of the lung, oropharynx, larynx, esophagus, pancreas, kidney, bladder, and cervix; ischemic heart disease, arterial disease, and other heart conditions; stroke; chronic obstructive pulmonary disease; and other respiratory conditions). Estimates adjusted for multiple covariates were compared with those adjusted for age only among current and former vs never smokers. RESULTS: Adjusting for multiple covariates slightly decreased the relative and attributable risk estimates for current smoking in both men and women, but slightly increased the estimates for former smoking in women. Multivariate adjustment decreased the overall estimate of deaths attributable to smoking in the United States by approximately 1%, from 401,109 to 396,741 per year. CONCLUSIONS: Our study suggests that federal estimates of deaths caused by smoking are not substantially altered by adjustment for behavioral and demographic factors associated with smoking beyond the current adjustment for age and sex. JAMA. 2000;284:706-712
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.
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
Alcohol consumption and mortality among middle-aged and elderly U.S. adults
Thun, M. J., Peto, R., Lopez, A. D., Monaco, J. H., Henley, S. J., Heath, C. W., & Doll, R. (1997) · New England Journal of Medicine · doi:10.1056/nejm199712113372401 · Cited by 1,313
Self-citationFood and nutrient intake differences between smokers and non-smokers in the US.
Subar, A. F., Harlan, L. C., & Mattson, M. E. (1990) · American Journal of Public Health · doi:10.2105/ajph.80.11.1323 · Cited by 274
Cited by
Selected major risk factors and global and regional burden of disease
Ezzati, M., Lopez, A. D., Rodgers, A., Vander Hoorn, S., & Murray, C. J. (2002) · The Lancet · doi:10.1016/s0140-6736(02)11403-6 · Cited by 3,594
Danaei, G., Ding, E. L., Mozaffarian, D., Taylor, B., Rehm, J., Murray, C. J. L., & Ezzati, M. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000058 · Cited by 2,860
Meschia, J. F., Bushnell, C., Boden-Albala, B., Braun, L. T., Bravata, D. M., Chaturvedi, S., Creager, M. A., Eckel, R. H., Elkind, M. S. V., Fornage, M., et al. (2014) · Stroke · doi:10.1161/str.0000000000000046 · Cited by 2,650
Stroke risk factors, genetics, and prevention
Boehme, A. K., Esenwa, C., & Elkind, M. S. V. (2017) · Circulation Research · doi:10.1161/circresaha.116.308398 · Cited by 1,952
Goldstein, L. B., Bushnell, C. D., Adams, R. J., Appel, L. J., Braun, L. T., Chaturvedi, S., Creager, M. A., Culebras, A., Eckel, R. H., Hart, R. G., et al. (2011) · Stroke · doi:10.1161/str.0b013e3181fcb238 · Cited by 1,306
Estimates of global mortality attributable to smoking in 2000
Ezzati, M., & Lopez, A. D. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14338-3 · Cited by 1,247
Comparative quantification of health risks conceptual framework and methodological issues
Murray, C. J., Ezzati, M., Lopez, A. D., Rodgers, A., & Vander Hoorn, S. (2003) · Population Health Metrics · doi:10.1186/1478-7954-1-1 · Cited by 887
Lackland, D. T., Roccella, E. J., Deutsch, A. F., Fornage, M., George, M. G., Howard, G., Kissela, B. M., Kittner, S. J., Lichtman, J. H., Lisabeth, L. D., et al. (2014) · Stroke · doi:10.1161/01.str.0000437068.30550.cf · Cited by 815
Smoking and Mortality — Beyond Established Causes
Carter, B. D., Abnet, C. C., Feskanich, D., Freedman, N. D., Hartge, P., Lewis, C. E., Ockene, J. K., Prentice, R. L., Speizer, F. E., Thun, M. J., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmsa1407211 · Cited by 809
Self-citationAlgorithmic fairness in artificial intelligence for medicine and healthcare
Chen, R. J., Wang, J. J., Williamson, D. F. K., Chen, T. Y., Lipkova, J., Lu, M. Y., Sahai, S., & Mahmood, F. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01056-8 · Cited by 750
Avoidable global cancer deaths and total deaths from smoking
Jha, P. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2703 · Cited by 522
Smoking and the outcome of infection: Review: Smoking and infection
Huttunen, R., Heikkinen, T., & Syrjänen, J. (2011) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02332.x · Cited by 194
Measuring the accumulated hazards of smoking: global and regional estimates for 2000
Ezzati, M., & Lopez, A. D. (2003) · Tobacco Control · doi:10.1136/tc.12.1.79 · Cited by 157
Foulds, J. (2006) · International Journal of Clinical Practice · doi:10.1111/j.1368-5031.2006.00955.x · Cited by 136
Borgerding, M. F., Bodnar, J. A., Curtin, G. M., & Swauger, J. E. (2012) · Regulatory Toxicology and Pharmacology · doi:10.1016/j.yrtph.2012.09.003 · Cited by 102
Oza, S., Thun, M. J., Henley, S. J., Lopez, A. D., & Ezzati, M. (2011) · Preventive Medicine · doi:10.1016/j.ypmed.2011.04.007 · Cited by 81
Self-citationTobacco use in bipolar disorder
Thomson, D., Berk, M., Dodd, S., Rapado-Castro, M., Quirk, S. E., Ellegaard, P. K., Berk, L., & Dean, O. M. (2015) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2015.13.1.1 · Cited by 63
Wen, C. P., Tsai, S. P., Chen, C.-J., Cheng, T. Y., Tsai, M.-C., & Levy, D. T. (2005) · Tobacco Control · doi:10.1136/tc.2004.007955 · Cited by 61
Understanding longevity in Hong Kong: a comparative study with long-living, high-income countries
Ni, M. Y., Canudas-Romo, V., Shi, J., Flores, F. P., Chow, M. S. C., Yao, X. I., Ho, S. Y., Lam, T. H., Schooling, C. M., Lopez, A. D., et al. (2021) · The Lancet Public Health · doi:10.1016/s2468-2667(21)00208-5 · Cited by 60
Disparities in smoking-related mortality among American Indians/Alaska Natives
Mowery, P. D., Dube, S. R., Thorne, S. L., Garrett, B. E., Homa, D. M., & Nez Henderson, P. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.05.002 · Cited by 56
Gene expression profiles associated with cigarette smoking and moist snuff consumption
Arimilli, S., Madahian, B., Chen, P., Marano, K., & Prasad, G. L. (2017) · BMC Genomics · doi:10.1186/s12864-017-3565-1 · Cited by 41
A Longer Course of Varenicline Therapy Improves Smoking Cessation Rates
Lee, J. H., Jones, P. G., Bybee, K., & O’Keefe, J. H. (2008) · Preventive Cardiology · doi:10.1111/j.1751-7141.2008.00003.x · Cited by 34
Carreón, T., Hein, M. J., Hanley, K. W., Viet, S. M., & Ruder, A. M. (2014) · American Journal of Industrial Medicine · doi:10.1002/ajim.22299 · Cited by 29
Medeiros, G. C., Lafer, B., Kapczinski, F., Miranda-Scippa, Â., & Almeida, K. M. (2018) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2017.12.003 · Cited by 23
Modos de vida entre pessoas que tiveram câncer no Brasil em 2013
Silva, G. A. E., Rezende, L. F. M. D., Gomes, F. D. S., Souza Júnior, P. R. B. D., Szwarcwald, C. L., & Eluf Neto, J. (2016) · Ciência & Saúde Coletiva · doi:10.1590/1413-81232015211.24722015 · Cited by 13
Metadata
- Authors
- Thun, M. J., Apicella, L. F., & Henley, S. J.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2000-08-09
- Volume
- 284
- Issue
- 6
- Pages
- 706
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2034175536
- Cited by
- 307
- References
- 2
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.