prevention, early detection, epidemiology

prevention, early detection,
epidemiology, tobacco control
22PD BODY MASS INDEX AND LUNG CANCER SURVIVAL: RESULTS
FROM THE ICARE STUDY
H. Sanikini1, G. Clain1, M. Sanchez1, A.V. Guizard2, A.S. Woronoff3, B. Tretarre4,
F. Molinie5, P. Delafosse6, D. Luce7, I. Stücker1
1
Cancer Epidemiology: Gene, Environment, Hopital Paul Brousse, Villejuif, France
2
Registre des Cancers du Calvados, Centre Francois Baclesse, Caen, France
3
Registre des Cancers du Doubs, CHU Besançon, Hôpital Jean Minjoz,
Besançon, France
4
Registre des Cancers de l’Hérault, ICM Regional Cancer Institute of Montpellier,
Montpellier, France
5
Registre des Cancers de Loire-Atlantique et de Vendée, CHU de Nantes, Nantes,
France
6
Registre des Cancers de l’Isère, CH Mutualiste de Grenoble, Grenoble, France
7
Santé et Environnement, INSERM UMRS 1085, Pointe-à-Pitre, France
Aim: Several epidemiological studies have shown that lower body mass index (BMI) is
associated with increased risk of lung cancer. However, studies investigating the
association between BMI and lung cancer survival are limited. We investigated whether
BMI 2 years before interview and BMI at interview is associated with lung cancer
survival in the ICARE study (Investigation of occupational and environmental causes
of respiratory cancers).
Methods: A population-based case-control study was conducted in ten departments of
France between 2001 and 2007. Analyses were based on 2,285 lung cancer cases. Data
on anthropometric measurements (height, weight 2 years before interview and weight
at interview) were collected using standardized questionnaires through face-to-face
interviews, and these data were used to calculate BMI 2 years before interview and BMI
at interview. BMI (kg/m
2
), was classified into 4 categories: (<18.5), (18.5-25), (25-30)
and (≥30). Cox proportional hazard models were used to estimate the hazard ratios
(HR) and corresponding 95 % confidence interval (CI). Models were adjusted for age,
gender, area of residence, education level and comprehensive smoking index. BMI
(18.5-25 kg/m
2
) was used as a reference group.
Results: Of the 2,285 lung cancer cases that were included in this study, a total of 1,988
subjects died. No significant association was observed between BMI 2 years before
interview and lung cancer mortality (Table 1). For BMI at interview and lung cancer
mortality, we found a significant positive association among subjects with BMI <18.5
kg/m
2
, while a significant inverse association was observed among subjects with BMI
25-30 kg/m
2
and BMI ≥30 kg/m
2
(Table 1).
Table: 22PD Adjusted hazard ratios for lung cancer mortality
according to BMI categories, the ICARE study 2001-2007.
Deaths (N) HR (95% CI)
BMI 2 years before interview (kg/m
2
)
<18.5 56 0.96 (0.73-1.27)
18.5-25 891 Reference
25-30 647 0.98 (0.88-1.09)
≥30 288 1.00 (0.87-1.14)
Missing 106 -
BMI at interview (kg/m
2
)
< 18.5 184 1.39 (1.19-1.64)
18.5-25 1071 Reference
25-30 514 0.78 (0.70-0.87)
≥30 166 0.82 (0.69-0.97)
Missing 53 -
Conclusions: These data suggests that BMI 2 years before interview is not associated
with lung cancer mortality. However, lower BMI (<18.5 kg/m
2
) at interview is
associated with increased lung cancer mortality.
Disclosure: All authors have declared no conflicts of interest.
© European Society for Medical Oncology 2015. Published by Oxford University Press on behalf of the European Lung Cancer Conference (ELCC) 2015 organisers.
All rights reserved. For permissions, please email: [email protected].
abstracts
Annals of Oncology 26 (Supplement 1): i6–i9, 2015
doi:10.1093/annonc/mdv044.2