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Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies

BACKGROUND: Obesity has been proposed as a potential protective factor against lung cancer. We examined the association between BMI and lung cancer risk in a pooled analysis based on nested case-control studies from four cohort studies. METHODS: A case-control study was nested within four cohorts in...

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Autores principales: Sanikini, Harinakshi, Yuan, Jian-Min, Butler, Lesley M., Koh, Woon-Puay, Gao, Yu-Tang, Steffen, Annika, Johansson, Mattias, Vineis, Paolo, Goodman, Gary E., Barnett, Matt J., Hung, Rayjean J., Chen, Chu, Stücker, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824613/
https://www.ncbi.nlm.nih.gov/pubmed/29471809
http://dx.doi.org/10.1186/s12885-018-4124-0
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author Sanikini, Harinakshi
Yuan, Jian-Min
Butler, Lesley M.
Koh, Woon-Puay
Gao, Yu-Tang
Steffen, Annika
Johansson, Mattias
Vineis, Paolo
Goodman, Gary E.
Barnett, Matt J.
Hung, Rayjean J.
Chen, Chu
Stücker, Isabelle
author_facet Sanikini, Harinakshi
Yuan, Jian-Min
Butler, Lesley M.
Koh, Woon-Puay
Gao, Yu-Tang
Steffen, Annika
Johansson, Mattias
Vineis, Paolo
Goodman, Gary E.
Barnett, Matt J.
Hung, Rayjean J.
Chen, Chu
Stücker, Isabelle
author_sort Sanikini, Harinakshi
collection PubMed
description BACKGROUND: Obesity has been proposed as a potential protective factor against lung cancer. We examined the association between BMI and lung cancer risk in a pooled analysis based on nested case-control studies from four cohort studies. METHODS: A case-control study was nested within four cohorts in USA, Europe, China and Singapore that included 4172 cases and 8471 control subjects. BMI at baseline was calculated as weight in kilograms divided by height in meters squared (kg/m(2)), and classified into 4 categories: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (≥30). Odds ratios (ORs) and 95% confidence intervals (CIs) for BMI-lung cancer associations were estimated using unconditional logistic regression, adjusting for potential confounders. RESULTS: Considering all participants, and using normal weight as the reference group, a decreased risk of lung cancer was observed for those who were overweight (OR 0.77, 95% CI: 0.68–0.86) and obese (OR 0.69, 95% CI: 0.59–0.82). In the stratified analysis by smoking status, the decreased risk for lung cancer was observed among current, former and never smokers (P for interaction 0.002). The adjusted ORs for overweight and obese groups were 0.79 (95% CI: 0.68–0.92) and 0.75 (95% CI: 0.60–0.93) for current smokers, 0.70 (95% CI: 0.53–0.93) and 0.55 (95% CI: 0.37–0.80) for former smokers, 0.77 (95% CI: 0.59–0.99), and 0.71 (95% CI: 0.44–1.14) for never smokers, respectively. While no statistically significant association was observed for underweight subjects who were current smokers (OR 1.24, 95% CI: 0.98–1.58), former smokers (OR 0.27, 95% CI: 0.12–0.61) and never smokers (OR 0.83, 95% CI: 0.5.-1.28). CONCLUSION: The results of this study provide additional evidence that obesity is associated with a decreased risk of lung cancer. Further biological studies are needed to address this association. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4124-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-58246132018-02-26 Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies Sanikini, Harinakshi Yuan, Jian-Min Butler, Lesley M. Koh, Woon-Puay Gao, Yu-Tang Steffen, Annika Johansson, Mattias Vineis, Paolo Goodman, Gary E. Barnett, Matt J. Hung, Rayjean J. Chen, Chu Stücker, Isabelle BMC Cancer Research Article BACKGROUND: Obesity has been proposed as a potential protective factor against lung cancer. We examined the association between BMI and lung cancer risk in a pooled analysis based on nested case-control studies from four cohort studies. METHODS: A case-control study was nested within four cohorts in USA, Europe, China and Singapore that included 4172 cases and 8471 control subjects. BMI at baseline was calculated as weight in kilograms divided by height in meters squared (kg/m(2)), and classified into 4 categories: underweight (BMI < 18.5), normal weight (18.5 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (≥30). Odds ratios (ORs) and 95% confidence intervals (CIs) for BMI-lung cancer associations were estimated using unconditional logistic regression, adjusting for potential confounders. RESULTS: Considering all participants, and using normal weight as the reference group, a decreased risk of lung cancer was observed for those who were overweight (OR 0.77, 95% CI: 0.68–0.86) and obese (OR 0.69, 95% CI: 0.59–0.82). In the stratified analysis by smoking status, the decreased risk for lung cancer was observed among current, former and never smokers (P for interaction 0.002). The adjusted ORs for overweight and obese groups were 0.79 (95% CI: 0.68–0.92) and 0.75 (95% CI: 0.60–0.93) for current smokers, 0.70 (95% CI: 0.53–0.93) and 0.55 (95% CI: 0.37–0.80) for former smokers, 0.77 (95% CI: 0.59–0.99), and 0.71 (95% CI: 0.44–1.14) for never smokers, respectively. While no statistically significant association was observed for underweight subjects who were current smokers (OR 1.24, 95% CI: 0.98–1.58), former smokers (OR 0.27, 95% CI: 0.12–0.61) and never smokers (OR 0.83, 95% CI: 0.5.-1.28). CONCLUSION: The results of this study provide additional evidence that obesity is associated with a decreased risk of lung cancer. Further biological studies are needed to address this association. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4124-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-23 /pmc/articles/PMC5824613/ /pubmed/29471809 http://dx.doi.org/10.1186/s12885-018-4124-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Sanikini, Harinakshi
Yuan, Jian-Min
Butler, Lesley M.
Koh, Woon-Puay
Gao, Yu-Tang
Steffen, Annika
Johansson, Mattias
Vineis, Paolo
Goodman, Gary E.
Barnett, Matt J.
Hung, Rayjean J.
Chen, Chu
Stücker, Isabelle
Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
title Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
title_full Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
title_fullStr Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
title_full_unstemmed Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
title_short Body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
title_sort body mass index and lung cancer risk: a pooled analysis based on nested case-control studies from four cohort studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824613/
https://www.ncbi.nlm.nih.gov/pubmed/29471809
http://dx.doi.org/10.1186/s12885-018-4124-0
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