Body mass index and lung cancer risk: Pooled analysis of 10 prospective cohort studies in Japan

Cancer Sci. 2024 Apr;115(4):1346-1359. doi: 10.1111/cas.16093. Epub 2024 Feb 4.

Abstract

Mounting evidence suggests that body mass index (BMI) is inversely associated with the risk of lung cancer. However, relatively few studies have explored this association in Asian people, who have a much lower prevalence of obesity than Caucasians. We pooled data from 10 prospective cohort studies involving 444,143 Japanese men and women to address the association between BMI and the risk of lung cancer. Study-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated in each cohort using the Cox proportional hazards model. A meta-analysis was undertaken by combining the results from each cohort. Heterogeneity across studies was evaluated using Cochran's Q and I2statistics. During 5,730,013 person-years of follow-up, 6454 incident lung cancer cases (4727 men and 1727 women) were identified. Baseline BMI was inversely associated with lung cancer risk in men and women combined. While leanness (BMI <18.5) was associated with a higher risk of lung cancer (HR 1.35; 95% CI, 1.16-1.57), overweight and obesity were associated with a lower risk, with HRs of 0.77 (95% CI, 0.71-0.84) and 0.69 (95% CI, 0.45-1.07), respectively. Every 5 kg/m2 increase in BMI was associated with a 21% lower risk of lung cancer (HR 0.79; 95% CI, 0.75-0.83; p < 0.0001). Our pooled analysis indicated that BMI is inversely associated with the risk of lung cancer in the Japanese population. This inverse association could be partly attributed to residual confounding by smoking, as it was more pronounced among male smokers.

Keywords: body mass index; inverse association; lung cancer risk; pooled analysis; smoking.

Publication types

  • Meta-Analysis

MeSH terms

  • Body Mass Index
  • Female
  • Humans
  • Japan / epidemiology
  • Lung Neoplasms* / complications
  • Lung Neoplasms* / etiology
  • Male
  • Obesity / complications
  • Obesity / epidemiology
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors