Breast Cancer Research (Jan 2024)

Differential patterns of reproductive and lifestyle risk factors for breast cancer according to birth cohorts among women in China, Japan and Korea

  • Salma Nabila,
  • Ji-Yeob Choi,
  • Sarah Krull Abe,
  • Md Rashedul Islam,
  • Md Shafiur Rahman,
  • Eiko Saito,
  • Aesun Shin,
  • Melissa A. Merritt,
  • Ryoko Katagiri,
  • Xiao-Ou Shu,
  • Norie Sawada,
  • Akiko Tamakoshi,
  • Ritsu Sakata,
  • Atsushi Hozawa,
  • Jeongseon Kim,
  • Chisato Nagata,
  • Sue K. Park,
  • Sun-Seog Kweon,
  • Hui Cai,
  • Shoichiro Tsugane,
  • Takashi Kimura,
  • Seiki Kanemura,
  • Yumi Sugawara,
  • Keiko Wada,
  • Min-Ho Shin,
  • Habibul Ahsan,
  • Paolo Boffetta,
  • Kee Seng Chia,
  • Keitaro Matsuo,
  • You-Lin Qiao,
  • Nathaniel Rothman,
  • Wei Zheng,
  • Manami Inoue,
  • Daehee Kang

DOI
https://doi.org/10.1186/s13058-024-01766-0
Journal volume & issue
Vol. 26, no. 1
pp. 1 – 10

Abstract

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Abstract Background The birth cohort effect has been suggested to influence the rate of breast cancer incidence and the trends of associated reproductive and lifestyle factors. We conducted a cohort study to determine whether a differential pattern of associations exists between certain factors and breast cancer risk based on birth cohorts. Methods This was a cohort study using pooled data from 12 cohort studies. We analysed associations between reproductive (menarche age, menopause age, parity and age at first delivery) and lifestyle (smoking and alcohol consumption) factors and breast cancer risk. We obtained hazard ratios (HRs) with 95% confidence intervals (CIs) using the Cox proportional hazard regression analysis on the 1920s, 1930s, 1940s and 1950s birth cohorts. Results Parity was found to lower the risk of breast cancer in the older but not in the younger birth cohort, whereas lifestyle factors showed associations with breast cancer risk only among the participants born in the 1950s. In the younger birth cohort group, the effect size was lower for parous women compared to the other cohort groups (HR [95% CI] 0.86 [0.66–1.13] compared to 0.60 [0.49–0.73], 0.46 [0.38–0.56] and 0.62 [0.51–0.77]). Meanwhile, a higher effect size was found for smoking (1.45 [1.14–1.84] compared to 1.25 [0.99–1.58], 1.06 [0.85–1.32] and 0.86 [0.69–1.08]) and alcohol consumption (1.22 [1.01–1.48] compared to 1.10 [0.90–1.33], 1.15 [0.96–1.38], and 1.07 [0.91–1.26]). Conclusion We observed different associations of parity, smoking and alcohol consumption with breast cancer risk across various birth cohorts.

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