한빛사논문
- 조회305
Thi Xuan Mai Tran, PhD1; Yoosoo Chang, MD, PhD2,3,4; Hye Rin Choi, PhD2,5; Ria Kwon, PhD2,5; Ga-Young Lim, PhD2,5; Eun Young Kim, MD, PhD6; Seungho Ryu, MD, PhD2,3,4; Boyoung Park, MD, PhD1,7
1Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
2Center for Cohort Studies, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
3Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
4Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
5Institute of Medical Research, Sungkyunkwan University, School of Medicine, Suwon, Republic of Korea
6Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
7Hanyang Institute of Bioscience and Biotechnology, Hanyang University, Seoul, Republic of Korea
Drs Tran and Chang contributed equally to this work as co–first authors.
Drs Ryu and Park contributed equally to this work as co–corresponding authors.
Corresponding Authors: Boyoung Park, MD, PhD
Abstract
Objective: To investigate the association between body composition parameters and breast cancer (BC) risk in premenopausal women.
Design, setting, and participants: Prospective cohort study using data from the Kangbuk Samsung Cohort Study. Participants were women aged 20 to 54 years who were enrolled from 2011 to 2019 and followed up for BC development until December 31, 2020. Data were analyzed from June to August 2023.
Exposures: Trained nurses conducted anthropometric measurements and assessed body composition using segmental bioelectric impedance analysis. The analysis encompassed adiposity measures such as body mass index (BMI), waist circumference, and body composition parameters, including muscle mass, fat mass, ratio of muscle mass to weight, ratio of fat mass to weight, and fat mass index.
Main outcomes and measures: Adjusted hazard ratios (aHR) for BC during the follow-up period.
Results: Among 125 188 premenopausal women, the mean (SD) age was 34.9 (6.3) years. During a mean (range) follow-up of 6.7 (0.5-9.9) years, 1110 incident BC cases were identified. The mean (SD) BMI and waist circumference were 21.6 (3.1) and 75.3 (8.2) cm, respectively. Higher BMI and waist circumference were associated with decreased risk, with an aHR of 0.89 (95% CI, 0.84-0.95) per SD increase in BMI and 0.92 (95% CI, 0.86-0.98) per SD increase in waist circumference. A higher ratio of fat mass to weight was associated with decreased BC risk (aHR, 0.92; 95% CI, 0.86-0.99 per SD increase), whereas the opposite trend was observed for the ratio of muscle mass to weight, with an aHR of 1.08 (95% CI, 1.02-1.15) per SD increase. The results remained consistent even after additional adjustments for height in the model. The fat mass index was also inversely associated with BC risk, with an HR of 0.90 (95% CI, 0.85-0.97) per SD increase.
Conclusions and relevance: In this cohort study of premenopausal women, a higher level of adiposity, represented by increased BMI, waist circumference, and fat mass, was consistently associated with decreased breast cancer risk. Conversely, muscle mass and its ratio to weight displayed opposite or inconsistent patterns. These findings suggest an inverse association between excess adiposity and the risk of BC in premenopausal women, confirming earlier findings that BMI is an indirect measure of adiposity.
논문정보
- Research article
- 2024년 04월 (BRIC 등록일 2024-04-08)
- 국내 연구진
- 의약학 > 응용의학
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