Smoke load/cancer death rate associations in Korea females, 1985-2004

Hye Youn Park, Bruce Leistikow, Alexander Tsodikov, Cheol In Yoo, Kiyoung Lee

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Background: Korea female death rates from many cancers have risen rapidly since 1985. The sources of those cancer death epidemics are unclear but may be related to rising cumulative tobacco smoke damage (smoke load). We assessed Korea female smoke load/cancer death rate associations from 1985 to 2004. Methods: Lung cancer rates were used as a smoke load bio-index. Subtracting lung, stomach, and uterine corpus cancer death World age standard rates (rates) from all-sites rates gave us non-lung-stomach-uterine corpus (NLSUc) rates. Lung/NLSUc linear regressions were run, adjusted for autocorrelation. Estimated, lower, and upper bound smoking-attributable fractions (SAFs) were calculated using the formula SAF = 1 - {(unexposeds' cancer death rate) / (observed rate)}, based on the linear regression and respective best, upper, and lower bound estimated lung, stomach, and uterine cancer death rates in the unexposed. Results: Lung cancer death rates (smoke load) can explain 88% of the variance in NLSUc rates from 1985 to 2004 after adjusting for autocorrelation. The estimated Korea female all-sites cancer death rate SAF in 2004 was 43% (sensitivity range 29-56%). Conclusions: Smoke load, probably from tobacco given the epidemic time course, may cause a large cancer death burden in Korea females despite their very low self-reported prevalence of smoking.

Original languageEnglish (US)
Pages (from-to)309-312
Number of pages4
JournalPreventive Medicine
Volume45
Issue number4
DOIs
StatePublished - Oct 2007

Fingerprint

Korea
Smoke
Mortality
Stomach
Smoking
Lung Neoplasms
Neoplasms
Uterine Neoplasms
Tobacco
Linear Models
Lung
Stomach Neoplasms

Keywords

  • Asia
  • Cancer
  • Female
  • Korea
  • Mortality
  • Secondhand smoke
  • Smoking
  • Time-series

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Park, H. Y., Leistikow, B., Tsodikov, A., Yoo, C. I., & Lee, K. (2007). Smoke load/cancer death rate associations in Korea females, 1985-2004. Preventive Medicine, 45(4), 309-312. https://doi.org/10.1016/j.ypmed.2007.06.017

Smoke load/cancer death rate associations in Korea females, 1985-2004. / Park, Hye Youn; Leistikow, Bruce; Tsodikov, Alexander; Yoo, Cheol In; Lee, Kiyoung.

In: Preventive Medicine, Vol. 45, No. 4, 10.2007, p. 309-312.

Research output: Contribution to journalArticle

Park, HY, Leistikow, B, Tsodikov, A, Yoo, CI & Lee, K 2007, 'Smoke load/cancer death rate associations in Korea females, 1985-2004', Preventive Medicine, vol. 45, no. 4, pp. 309-312. https://doi.org/10.1016/j.ypmed.2007.06.017
Park, Hye Youn ; Leistikow, Bruce ; Tsodikov, Alexander ; Yoo, Cheol In ; Lee, Kiyoung. / Smoke load/cancer death rate associations in Korea females, 1985-2004. In: Preventive Medicine. 2007 ; Vol. 45, No. 4. pp. 309-312.
@article{afe78234a220439f916f7060d4d04a88,
title = "Smoke load/cancer death rate associations in Korea females, 1985-2004",
abstract = "Background: Korea female death rates from many cancers have risen rapidly since 1985. The sources of those cancer death epidemics are unclear but may be related to rising cumulative tobacco smoke damage (smoke load). We assessed Korea female smoke load/cancer death rate associations from 1985 to 2004. Methods: Lung cancer rates were used as a smoke load bio-index. Subtracting lung, stomach, and uterine corpus cancer death World age standard rates (rates) from all-sites rates gave us non-lung-stomach-uterine corpus (NLSUc) rates. Lung/NLSUc linear regressions were run, adjusted for autocorrelation. Estimated, lower, and upper bound smoking-attributable fractions (SAFs) were calculated using the formula SAF = 1 - {(unexposeds' cancer death rate) / (observed rate)}, based on the linear regression and respective best, upper, and lower bound estimated lung, stomach, and uterine cancer death rates in the unexposed. Results: Lung cancer death rates (smoke load) can explain 88{\%} of the variance in NLSUc rates from 1985 to 2004 after adjusting for autocorrelation. The estimated Korea female all-sites cancer death rate SAF in 2004 was 43{\%} (sensitivity range 29-56{\%}). Conclusions: Smoke load, probably from tobacco given the epidemic time course, may cause a large cancer death burden in Korea females despite their very low self-reported prevalence of smoking.",
keywords = "Asia, Cancer, Female, Korea, Mortality, Secondhand smoke, Smoking, Time-series",
author = "Park, {Hye Youn} and Bruce Leistikow and Alexander Tsodikov and Yoo, {Cheol In} and Kiyoung Lee",
year = "2007",
month = "10",
doi = "10.1016/j.ypmed.2007.06.017",
language = "English (US)",
volume = "45",
pages = "309--312",
journal = "Preventive Medicine",
issn = "0091-7435",
publisher = "Academic Press Inc.",
number = "4",

}

TY - JOUR

T1 - Smoke load/cancer death rate associations in Korea females, 1985-2004

AU - Park, Hye Youn

AU - Leistikow, Bruce

AU - Tsodikov, Alexander

AU - Yoo, Cheol In

AU - Lee, Kiyoung

PY - 2007/10

Y1 - 2007/10

N2 - Background: Korea female death rates from many cancers have risen rapidly since 1985. The sources of those cancer death epidemics are unclear but may be related to rising cumulative tobacco smoke damage (smoke load). We assessed Korea female smoke load/cancer death rate associations from 1985 to 2004. Methods: Lung cancer rates were used as a smoke load bio-index. Subtracting lung, stomach, and uterine corpus cancer death World age standard rates (rates) from all-sites rates gave us non-lung-stomach-uterine corpus (NLSUc) rates. Lung/NLSUc linear regressions were run, adjusted for autocorrelation. Estimated, lower, and upper bound smoking-attributable fractions (SAFs) were calculated using the formula SAF = 1 - {(unexposeds' cancer death rate) / (observed rate)}, based on the linear regression and respective best, upper, and lower bound estimated lung, stomach, and uterine cancer death rates in the unexposed. Results: Lung cancer death rates (smoke load) can explain 88% of the variance in NLSUc rates from 1985 to 2004 after adjusting for autocorrelation. The estimated Korea female all-sites cancer death rate SAF in 2004 was 43% (sensitivity range 29-56%). Conclusions: Smoke load, probably from tobacco given the epidemic time course, may cause a large cancer death burden in Korea females despite their very low self-reported prevalence of smoking.

AB - Background: Korea female death rates from many cancers have risen rapidly since 1985. The sources of those cancer death epidemics are unclear but may be related to rising cumulative tobacco smoke damage (smoke load). We assessed Korea female smoke load/cancer death rate associations from 1985 to 2004. Methods: Lung cancer rates were used as a smoke load bio-index. Subtracting lung, stomach, and uterine corpus cancer death World age standard rates (rates) from all-sites rates gave us non-lung-stomach-uterine corpus (NLSUc) rates. Lung/NLSUc linear regressions were run, adjusted for autocorrelation. Estimated, lower, and upper bound smoking-attributable fractions (SAFs) were calculated using the formula SAF = 1 - {(unexposeds' cancer death rate) / (observed rate)}, based on the linear regression and respective best, upper, and lower bound estimated lung, stomach, and uterine cancer death rates in the unexposed. Results: Lung cancer death rates (smoke load) can explain 88% of the variance in NLSUc rates from 1985 to 2004 after adjusting for autocorrelation. The estimated Korea female all-sites cancer death rate SAF in 2004 was 43% (sensitivity range 29-56%). Conclusions: Smoke load, probably from tobacco given the epidemic time course, may cause a large cancer death burden in Korea females despite their very low self-reported prevalence of smoking.

KW - Asia

KW - Cancer

KW - Female

KW - Korea

KW - Mortality

KW - Secondhand smoke

KW - Smoking

KW - Time-series

UR - http://www.scopus.com/inward/record.url?scp=35248863493&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=35248863493&partnerID=8YFLogxK

U2 - 10.1016/j.ypmed.2007.06.017

DO - 10.1016/j.ypmed.2007.06.017

M3 - Article

C2 - 17692908

AN - SCOPUS:35248863493

VL - 45

SP - 309

EP - 312

JO - Preventive Medicine

JF - Preventive Medicine

SN - 0091-7435

IS - 4

ER -