Literature DB >> 10927778

Smoking vs other risk factors as the cause of smoking-attributable deaths: confounding in the courtroom.

M J Thun1, L F Apicella, S J Henley.   

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

Entities:  

Mesh:

Year:  2000        PMID: 10927778     DOI: 10.1001/jama.284.6.706

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  68 in total

1.  Estimating the health consequences of replacing cigarettes with nicotine inhalers.

Authors:  W Sumner
Journal:  Tob Control       Date:  2003-06       Impact factor: 7.552

Review 2.  Economic evaluation of smoking-cessation therapies: a critical and systematic review of simulation models.

Authors:  Kristian Bolin
Journal:  Pharmacoeconomics       Date:  2012-07-01       Impact factor: 4.981

Review 3.  Stroke Risk Factors, Genetics, and Prevention.

Authors:  Amelia K Boehme; Charles Esenwa; Mitchell S V Elkind
Journal:  Circ Res       Date:  2017-02-03       Impact factor: 17.367

Review 4.  Avoidable global cancer deaths and total deaths from smoking.

Authors:  Prabhat Jha
Journal:  Nat Rev Cancer       Date:  2009-08-20       Impact factor: 60.716

5.  Forecasting sex differences in mortality in high income nations: The contribution of smoking.

Authors:  Fred Pampel
Journal:  Demogr Res       Date:  2005-10-17

6.  The enduring effects of smoking in Latin America.

Authors:  Alberto Palloni; Beatriz Novak; Guido Pinto-Aguirre
Journal:  Am J Public Health       Date:  2015-04-16       Impact factor: 9.308

7.  Revisiting the Hispanic mortality advantage in the United States: the role of smoking.

Authors:  Andrew Fenelon
Journal:  Soc Sci Med       Date:  2013-01-21       Impact factor: 4.634

8.  Coronary artery disease and cancer mortality in a cohort of workers exposed to vinyl chloride, carbon disulfide, rotating shift work, and o-toluidine at a chemical manufacturing plant.

Authors:  Tania Carreón; Misty J Hein; Kevin W Hanley; Susan M Viet; Avima M Ruder
Journal:  Am J Ind Med       Date:  2014-01-24       Impact factor: 2.214

9.  Bayesian bias adjustments of the lung cancer SMR in a cohort of German carbon black production workers.

Authors:  Peter Morfeld; Robert J McCunney
Journal:  J Occup Med Toxicol       Date:  2010-08-11       Impact factor: 2.646

10.  Comparative study of control selection in a national population-based case-control study: Estimating risk of smoking on cancer deaths in Chinese men.

Authors:  Jingmei Jiang; Boqi Liu; Philip C Nasca; Wei Han; Xiaonong Zou; Xianjia Zeng; Xiaobing Tian; Yanping Wu; Ping Zhao; Junyao Li
Journal:  Int J Med Sci       Date:  2009-10-28       Impact factor: 3.738

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.