Lung cancer mortality and body mass index in a Japanese cohort: findings from the Japan Collaborative Cohort Study (JACC Study)
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To determine the relationship of body mass index (BMI) and BMI changes during adulthood to lung cancer mortality in a large-sized Japanese cohort.
We followed 29,350 men for a maximum of 11 years in the Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC Study), which was initiated from 1988 to 1990. Complementary log–log modeling was employed with age, smoking status, and family history of lung cancer as covariates. Anthropometric measurements used were BMI at baseline, BMI around age 20, and adulthood BMI loss defined between the two measurements. Independent effects of these three measurements on lung cancer mortality were evaluated by applying the method of generalized estimation equations to the model for adjustment of intra-individual correlation.
Never smokers showed that high BMI both at baseline and around age 20 significantly predict lung cancer mortality (P < 0.05). Adulthood BMI loss significantly (P < 0.05) elevated the risk for lung cancer mortality among current smokers, implying their enhanced vulnerability to lung cancer risk among smokers.
The risk for lung cancer mortality is elevated by a mechanism related to smoking-induced weight loss during adulthood.
KeywordsBody mass index Cohort study Complementary log–log model Generalized estimating equation
Body mass index
International classification of diseases
Generalized estimating equations
The authors wish to express their appreciation to Dr. Kunio Aoki, Professor Emeritus, Nagoya University School of Medicine and former chairman of the JACC Study Group, and to Dr. Haruo Sugano, former Director of the Cancer Institute of Japanese Foundation for Cancer Research, both of whom greatly contributed to the initiation of this study. This work was supported by a Grant-in-Aid for Scientific Research on Priority Areas (C)(2) (No. 12218216) from the Ministry of Education, Culture, Sports, Science and Technology of Japan. The JACC Study was also supported by Grants-in-Aid for Scientific Research from the same Ministry (Nos. 63010074, 1010068, 2151065, 3151064, 4151063, 5151069, 6279102 and 11181101).
- 10.Allison PD (2001) Survival analysis using the SAS system: a practical guide SAS Institute Inc., Cary, NCGoogle Scholar
- 11.Allison PD (1999) Logistic regression using the SAS system: theory and application SAS Institute Inc, Cary, NCGoogle Scholar
- 16.Shimokata H, Tobin JD, Muller DC, Elahi D, Coon PJ, Andres R (1989) Studies in the distribution of body fat: I. Effects of age, sex, and obesity. J Gerontol 44:66–73Google Scholar