Literature DB >> 3826460

What are the odds that smoking will kill you?

M E Mattson, E S Pollack, J W Cullen.   

Abstract

We calculated the long-term risks of death from smoking for individuals of various ages and smoking status in terms of the excess mortality contributed by smoking, over and above the baseline mortality from the same diseases caused by factors other than smoking using standard life table procedures. Since mortality data for specific smoking categories were available only from prospective studies in the late 1950s, we scaled these to the 1982 mortality levels. We assumed, for lung cancer, that the death rates for nonsmokers have not changed and, for other smoking-related diseases, that the risks of death for smokers relative to those for nonsmokers have not changed since the 1950s. Probabilities that result from alternative assumptions were also investigated and are presented. As many as one-third of heavy smokers age 35 will die before age 85 of diseases caused by their smoking. The probabilities of death from smoking when compared with other causes may be persuasive as public education tools. Their effective use for this purpose is affected not only by the deficiencies in the public's factual knowledge of the magnitude of the risks from smoking, but also by numerous apparent misconceptions relating to the interpretation of risk information. Risk data should be presented to the public in a manner that clarifies these misconceptions and facilitates their understanding of the overwhelming risk imposed by smoking.

Entities:  

Keywords:  Age Factors; Americas; Behavior; Causes Of Death; Demographic Analysis; Demographic Factors; Developed Countries; Developing Countries; Length Of Life; Life Expectancy; Life Table Method; Mortality; North America; Northern America; Population; Population Characteristics; Population Dynamics; Research Methodology; Smoking; United States

Mesh:

Year:  1987        PMID: 3826460      PMCID: PMC1646951          DOI: 10.2105/ajph.77.4.425

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  9 in total

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Journal:  Lancet       Date:  1984-12-22       Impact factor: 79.321

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6.  Rising lung cancer mortality among nonsmokers.

Authors:  J E Enstrom
Journal:  J Natl Cancer Inst       Date:  1979-04       Impact factor: 13.506

Review 7.  The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today.

Authors:  R Doll; R Peto
Journal:  J Natl Cancer Inst       Date:  1981-06       Impact factor: 13.506

8.  Time trends in lung cancer mortality among nonsmokers and a note on passive smoking.

Authors:  L Garfinkel
Journal:  J Natl Cancer Inst       Date:  1981-06       Impact factor: 13.506

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Authors:  H Seidman; M H Mushinski; S K Gelb; E Silverberg
Journal:  CA Cancer J Clin       Date:  1985 Jan-Feb       Impact factor: 508.702

  9 in total
  51 in total

Review 1.  Genetic testing for lung cancer risk: if physicians can do it, should they?

Authors:  Theodore W Marcy; Michael Stefanek; Kimberly M Thompson
Journal:  J Gen Intern Med       Date:  2002-12       Impact factor: 5.128

2.  Perceptions of smoking risk as a function of smoking status.

Authors:  S B McCoy; F X Gibbons; T J Reis; M Gerrard; C A Luus; A V Sufka
Journal:  J Behav Med       Date:  1992-10

Review 3.  [Systematic review of the relationship between family history of lung cancer and lung cancer risk].

Authors:  Jundong Gu; Feng Hua; Diansheng Zhong; Jun Chen; Hongyu Liu; Qinghua Zhou
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2010-03

4.  RUNX3 downregulation in human lung adenocarcinoma is independent of p53, EGFR or KRAS status.

Authors:  Mohd Feroz Mohd Omar; Kosei Ito; Min En Nga; Ross Soo; Bee Keow Peh; Tuty Muliana Ismail; Bhavin Thakkar; Richie Soong; Yoshiaki Ito; Manuel Salto-Tellez
Journal:  Pathol Oncol Res       Date:  2012-06-24       Impact factor: 3.201

5.  Ordered subset analysis identifies loci influencing lung cancer risk on chromosomes 6q and 12q.

Authors:  Shenying Fang; Susan M Pinney; Joan E Bailey-Wilson; Mariza A de Andrade; Yafang Li; Elena Kupert; Ming You; Ann G Schwartz; Ping Yang; Marshall W Anderson; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-10-28       Impact factor: 4.254

6.  Lung cancer in individuals less than 50 years of age.

Authors:  Guntulu Ak; Muzaffer Metintas; Selma Metintas; Huseyin Yildirim; Sinan Erginel; Fusun Alatas
Journal:  Lung       Date:  2007-08-20       Impact factor: 2.584

7.  Immunoassays for proteins alkylated by nicotine-derived N-nitrosamines.

Authors:  B Talbot; S Desnoyers; A Castonguay
Journal:  Arch Toxicol       Date:  1990       Impact factor: 5.153

8.  Summary of scientific evidence.

Authors: 
Journal:  Occas Pap R Coll Gen Pract       Date:  2002-02

9.  Psychological Barriers to Behavior Change: How to indentify the barriers that inhibit change.

Authors:  J M Olson
Journal:  Can Fam Physician       Date:  1992-02       Impact factor: 3.275

10.  XPA A23G polymorphism and lung cancer risk: a meta-analysis.

Authors:  Ji-Hong Zou; Li An; Shi Chen; Li-Qun Ren
Journal:  Mol Biol Rep       Date:  2011-05-25       Impact factor: 2.316

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