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Published in: Breast Cancer Research 1/2024

Open Access 01-12-2024 | Breast Cancer | Research

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

Authors: 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

Published in: Breast Cancer Research | Issue 1/2024

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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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Metadata
Title
Differential patterns of reproductive and lifestyle risk factors for breast cancer according to birth cohorts among women in China, Japan and Korea
Authors
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
Publication date
01-12-2024
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 1/2024
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-024-01766-0

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