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Conference Paper: A proportional mortality study on smoking and lung cancer using different causes of deaths for dead controls

TitleA proportional mortality study on smoking and lung cancer using different causes of deaths for dead controls
Authors
Issue Date2018
PublisherBioMed Central Ltd. The Journal's web site is located at http://isptid.globalink.org/journal/index.html
Citation
The 17th World Conference on Tobacco or Health (WCTOH 2018), Cape Town, South Africa, 7-9 March 2018. In Tobacco Induced Diseases, 2018, v. 16 n. suppl. 1, p. 319, abs no. A833 How to Cite?
AbstractBackground: Proportional mortality studies using reliable death registration and smoking data can be used to assess the effects of smoking and quitting. Deaths from smoking-induced causes are treated as cases, but the selection of other causes to define controls differs. We conducted a proportional mortality study on smoking and lung cancer using four definitions of controls. Methods: We included 81% of all deaths aged 30+ years in 1998 in Hong Kong. Cases were lung cancer deaths (N=2909). We defined controls as deaths from non-smoking related causes according to i) Liu (Mainland) 1998 (n1=4898), ii) Alam (India) 2013 (n2=2944), iii) Sitas (South Africa) 2013 (n3=6076) and iv) US Surgeon General´s Report 2014 (USSG) (n4=4365). Logistic regression yielded AORs of lung cancer, adjusting for sex and age at death. Results: In middle age (35-64 years), AOR (95% CI) for lung cancer was 2.79 (1.58-4.92) in ex-smokers (5+ years) and 2.65 (1.87-3.78) in current smokers (ptrend: 0.26) using controls based on Liu. The corresponding AORs were 1.87 (1.00-3.56) and 2.37 (1.58-3.58) (ptrend: 0.009) for Alam, 2.40 (1.42-4.04) and 4.31 (3.00-6.24) (ptrend: < 0.0001) for Sitas, and 1.99 (1.14-3.46) and 3.39 (2.31-5.01) (ptrend: < 0.0001) for USSG. In old age (65-84), the corresponding figures for Liu, Alam, Sitas and USSG were 3.31 (2.54-4.34), 5.51 (4.26-7.17), 3.27 (2.44-4.41) and 5.40 (4.04-7.24) in ex-smokers, and 3.39 (2.63-4.37), 5.38 (4.23-6.87), 3.19 (2.44-4.18) and 5.35 (4.12-6.97) in current smokers (all ptrend: < 0.0001). Conclusions: The effect size of smoking on lung cancer using different controls was similar in old age but varied in middle age. Benefits of quitting were observed in all except Liu's controls. For proportional mortality studies, the choice of the most appropriate causes of deaths to define controls needs to be cautious, as the effects or lack of effects of smoking on different diseases vary in different populations.
DescriptionAbstract - PS-1096-4
Persistent Identifierhttp://hdl.handle.net/10722/253520
ISSN
2023 Impact Factor: 2.2
2023 SCImago Journal Rankings: 0.780
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMAI, Z-
dc.contributor.authorHo, DSY-
dc.contributor.authorLam, TH-
dc.date.accessioned2018-05-21T02:59:01Z-
dc.date.available2018-05-21T02:59:01Z-
dc.date.issued2018-
dc.identifier.citationThe 17th World Conference on Tobacco or Health (WCTOH 2018), Cape Town, South Africa, 7-9 March 2018. In Tobacco Induced Diseases, 2018, v. 16 n. suppl. 1, p. 319, abs no. A833-
dc.identifier.issn1617-9625-
dc.identifier.urihttp://hdl.handle.net/10722/253520-
dc.descriptionAbstract - PS-1096-4-
dc.description.abstractBackground: Proportional mortality studies using reliable death registration and smoking data can be used to assess the effects of smoking and quitting. Deaths from smoking-induced causes are treated as cases, but the selection of other causes to define controls differs. We conducted a proportional mortality study on smoking and lung cancer using four definitions of controls. Methods: We included 81% of all deaths aged 30+ years in 1998 in Hong Kong. Cases were lung cancer deaths (N=2909). We defined controls as deaths from non-smoking related causes according to i) Liu (Mainland) 1998 (n1=4898), ii) Alam (India) 2013 (n2=2944), iii) Sitas (South Africa) 2013 (n3=6076) and iv) US Surgeon General´s Report 2014 (USSG) (n4=4365). Logistic regression yielded AORs of lung cancer, adjusting for sex and age at death. Results: In middle age (35-64 years), AOR (95% CI) for lung cancer was 2.79 (1.58-4.92) in ex-smokers (5+ years) and 2.65 (1.87-3.78) in current smokers (ptrend: 0.26) using controls based on Liu. The corresponding AORs were 1.87 (1.00-3.56) and 2.37 (1.58-3.58) (ptrend: 0.009) for Alam, 2.40 (1.42-4.04) and 4.31 (3.00-6.24) (ptrend: < 0.0001) for Sitas, and 1.99 (1.14-3.46) and 3.39 (2.31-5.01) (ptrend: < 0.0001) for USSG. In old age (65-84), the corresponding figures for Liu, Alam, Sitas and USSG were 3.31 (2.54-4.34), 5.51 (4.26-7.17), 3.27 (2.44-4.41) and 5.40 (4.04-7.24) in ex-smokers, and 3.39 (2.63-4.37), 5.38 (4.23-6.87), 3.19 (2.44-4.18) and 5.35 (4.12-6.97) in current smokers (all ptrend: < 0.0001). Conclusions: The effect size of smoking on lung cancer using different controls was similar in old age but varied in middle age. Benefits of quitting were observed in all except Liu's controls. For proportional mortality studies, the choice of the most appropriate causes of deaths to define controls needs to be cautious, as the effects or lack of effects of smoking on different diseases vary in different populations. -
dc.languageeng-
dc.publisherBioMed Central Ltd. The Journal's web site is located at http://isptid.globalink.org/journal/index.html-
dc.relation.ispartofTobacco Induced Diseases-
dc.rightsTobacco Induced Diseases. Copyright © BioMed Central Ltd.-
dc.titleA proportional mortality study on smoking and lung cancer using different causes of deaths for dead controls-
dc.typeConference_Paper-
dc.identifier.emailHo, DSY: syho@hku.hk-
dc.identifier.emailLam, TH: hrmrlth@hkucc.hku.hk-
dc.identifier.authorityHo, DSY=rp00427-
dc.identifier.authorityLam, TH=rp00326-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.18332/tid/84213-
dc.identifier.hkuros285167-
dc.identifier.volume16-
dc.identifier.issuesuppl. 1-
dc.identifier.spage319, abs no. A833-
dc.identifier.epage319, abs no. A833-
dc.identifier.isiWOS:000431841800834-
dc.publisher.placeUnited Kingdom-
dc.customcontrol.immutablecsl 180524-
dc.identifier.issnl1617-9625-

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