Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY, United States of America.
PLoS One. 2024 Apr 17;19(4):e0300140. doi: 10.1371/journal.pone.0300140. eCollection 2024.
There is emerging evidence that cancer and its treatments may accelerate the normal aging process, increasing the magnitude and rate of decline in functional capacity. This accelerated aging process is hypothesized to hasten the occurrence of common adverse age-related outcomes in cancer survivors, including loss of muscle mass and decrease in physical function. However, there is no data describing age-related loss of muscle mass and its relation to physical function in the long-term in cancer survivors.
This study protocol describes the use of a novel method of muscle mass measurement, D3-creatine dilution method (D3Cr), in a large sample (n~6000) of community dwelling postmenopausal women from the Women's Health Initiative (WHI). D3Cr will be used to obtain a direct measure of muscle mass remotely. Participants will be drawn from two sub-cohorts embedded within the WHI that have recently completed an in-home visit. Cancer survivors will be drawn from the Life and Longevity After Cancer (LILAC) cohort, and cancer-free controls will be drawn from the WHI Long Life Study 2. The overall objective of this study is to examine the antecedents and consequences of low muscle mass in cancer survivors. The study aims are to: 1) create age-standardized muscle mass percentile curves and z-scores to characterize the distribution of D3- muscle mass in cancer survivors and non-cancer controls, 2) compare muscle mass, physical function, and functional decline in cancer survivors and non- cancer controls, and 3) use machine learning approaches to generate multivariate risk-prediction algorithms to detect low muscle mass.
The D3Cr method will transform our ability to measure muscle mass in large-scale epidemiologic research. This study is an opportunity to advance our understanding of a key source of morbidity among older and long-term female cancer survivors. This project will fill knowledge gaps, including the antecedents and consequences of low muscle mass, and use innovative methods to overcome common sources of bias in cancer research. The results of this study will be used to develop interventions to mitigate the harmful effects of low muscle mass in older adults and promote healthy survivorship in cancer survivors in the old (>65) and oldest-old (>85) age groups.
有新的证据表明,癌症及其治疗可能会加速正常的衰老过程,增加功能能力下降的幅度和速度。这种加速的衰老过程假设会加速癌症幸存者常见的与年龄相关的不良结局的发生,包括肌肉质量的丧失和身体功能的下降。然而,目前尚无数据描述癌症幸存者中与年龄相关的肌肉质量丧失及其与身体功能的关系。
本研究方案描述了在妇女健康倡议(WHI)中一项新的肌肉质量测量方法(D3-肌酸稀释法[D3Cr])在一个大型样本(n~6000)的社区居住的绝经后妇女中的应用。D3Cr 将用于远程获得肌肉质量的直接测量。参与者将从 WHI 中最近完成家庭访问的两个嵌入子队列中抽取。癌症幸存者将从癌症后生存和长寿(LILAC)队列中抽取,而无癌症对照将从 WHI 长寿研究 2 中抽取。本研究的总体目标是研究癌症幸存者中低肌肉质量的发生和后果。研究目标是:1)创建年龄标准化的肌肉质量百分位数曲线和 z 分数,以描述 D3-肌肉质量在癌症幸存者和非癌症对照中的分布,2)比较癌症幸存者和非癌症对照的肌肉质量、身体功能和功能下降,3)使用机器学习方法生成多变量风险预测算法来检测低肌肉质量。
D3Cr 方法将改变我们在大规模流行病学研究中测量肌肉质量的能力。这项研究是一个机会,可以增进我们对老年和长期女性癌症幸存者发病率的关键来源的理解。该项目将填补知识空白,包括低肌肉质量的发生和后果,并使用创新方法克服癌症研究中常见的偏倚源。本研究的结果将用于制定干预措施,以减轻老年人低肌肉质量的有害影响,并促进癌症幸存者在老年(>65 岁)和最老年(>85 岁)年龄组的健康生存。