Literature DB >> 9807533

Use of multiple surveys to estimate mortality among never, current, and former smokers: changes over a 20-year interval.

W L Rosenbaum1, T D Sterling, J J Weinkam.   

Abstract

OBJECTIVES: This study sought to demonstrate how data from publicly available large-scale cross-sectional health surveys can be combined to analyze changes in mortality risks among never, current, and former smokers.
METHODS: Data from the 1966/68 and 1986 National Mortality Followback Surveys and the 1970 and 1987 National Health Interview Surveys were used to estimate the distribution of never, current, and former smokers among the US population at risk and decedents. Standardized mortality ratios and quotients of standardized mortality ratios were used to estimate mortality risks.
RESULTS: Generally, during the period from 1966 through 1986, mortality rates in the United States for most causes of death declined among all smoking groups. However, mortality rates from respiratory diseases increased for current and former smokers.
CONCLUSIONS: The reported changes in never and current smoker mortality risks are similar in magnitude and direction to those reported in a previous study based on longitudinal data. The use of combined data from the National Mortality Followback Survey and the National Health Interview Survey offers several advantages as an epidemiological tool.

Entities:  

Mesh:

Year:  1998        PMID: 9807533      PMCID: PMC1508552          DOI: 10.2105/ajph.88.11.1664

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


  15 in total

1.  Bias in the attribution of lung cancer as cause of death and its possible consequences for calculating smoking-related risks.

Authors:  T D Sterling; W L Rosenbaum; J J Weinkam
Journal:  Epidemiology       Date:  1992-01       Impact factor: 4.822

2.  Lung carcinoma trends by histologic type in Vaud and Neuchâtel, Switzerland, 1974-1994.

Authors:  F Levi; S Franceschi; C La Vecchia; L Randimbison; V C Te
Journal:  Cancer       Date:  1997-03-01       Impact factor: 6.860

3.  The confounding of occupation and smoking and its consequences.

Authors:  T Sterling; J Weinkam
Journal:  Soc Sci Med       Date:  1990       Impact factor: 4.634

4.  U.S. lung cancer mortality and declining cigarette tobacco consumption.

Authors:  W J Walker; B N Brin
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

5.  Amount of nicotine and carbon monoxide inhaled by smokers of low-tar, low-nicotine cigarettes.

Authors:  R V Ebert; M E McNabb; K T McCusker; S L Snow
Journal:  JAMA       Date:  1983-11-25       Impact factor: 56.272

6.  Analytical cigarette yields as predictors of smoke bioavailability.

Authors:  G B Gori; C J Lynch
Journal:  Regul Toxicol Pharmacol       Date:  1985-09       Impact factor: 3.271

7.  Mortality from tobacco in developed countries: indirect estimation from national vital statistics.

Authors:  R Peto; A D Lopez; J Boreham; M Thun; C Heath
Journal:  Lancet       Date:  1992-05-23       Impact factor: 79.321

8.  Smoking habits and tar levels in a new American Cancer Society prospective study of 1.2 million men and women.

Authors:  S D Stellman; L Garfinkel
Journal:  J Natl Cancer Inst       Date:  1986-06       Impact factor: 13.506

9.  Relation of nicotine yield of cigarettes to blood nicotine concentrations in smokers.

Authors:  M A Russell; M Jarvis; R Iyer; C Feyerabend
Journal:  Br Med J       Date:  1980-04-05

Review 10.  The changing epidemiology of smoking and lung cancer histology.

Authors:  E L Wynder; J E Muscat
Journal:  Environ Health Perspect       Date:  1995-11       Impact factor: 9.031

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  8 in total

1.  Estimating smoking-attributable mortality in the United States.

Authors:  Andrew Fenelon; Samuel H Preston
Journal:  Demography       Date:  2012-08

2.  Geographic Divergence in Mortality in the United States.

Authors:  Andrew Fenelon
Journal:  Popul Dev Rev       Date:  2013-12-01

3.  Continued increases in the relative risk of death from smoking.

Authors:  Neil Mehta; Samuel Preston
Journal:  Am J Public Health       Date:  2012-02-16       Impact factor: 9.308

4.  Lifestyle-related risk factors for total and cancer mortality in men and women.

Authors:  M Hara; M Mori; N Shono; Y Higaki; M Nishizumi
Journal:  Environ Health Prev Med       Date:  2000-10       Impact factor: 3.674

5.  Labor force status as a buffer against mortality risks associated with alcohol consumption: A study of adult U.S. women, 2001-2015.

Authors:  Muntasir Masum; Johnelle Sparks
Journal:  Prev Med       Date:  2022-07-07       Impact factor: 4.637

6.  A new method for estimating smoking-attributable mortality in high-income countries.

Authors:  Samuel H Preston; Dana A Glei; John R Wilmoth
Journal:  Int J Epidemiol       Date:  2009-12-23       Impact factor: 7.196

7.  Characteristics and predictors of readiness to quit among emergency medical patients presenting with respiratory symptoms.

Authors:  Beth C Bock; Ernestine Jennings; Bruce M Becker; Robert Partridge; Raymond S Niaura
Journal:  Int J Emerg Med       Date:  2011-06-06

Review 8.  Methodologies used to estimate tobacco-attributable mortality: a review.

Authors:  Mónica Pérez-Ríos; Agustín Montes
Journal:  BMC Public Health       Date:  2008-01-22       Impact factor: 3.295

  8 in total

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