Accelerometry-derived latent class analysis and cancer in the Women's Health Accelerometry Collaboration

摘要 癌症是美国女性的第二大死因，估计有289,150人 预计2021年女性中将出现与癌症相关的死亡和927,910例新的癌症病例。考虑 在一生中，近40%的女性会在一生中的某个时候被诊断出患有癌症。 了解造成如此大的公共卫生负担的可服从的风险因素是至关重要的。 观察性研究表明，自我报告的体力活动与许多疾病的风险增加之间存在关联 癌症的类型。然而，没有关于数量、强度、持续时间和类型的充分证据 减少癌症风险所需的体力活动，特别是对老年女性。久坐的行为可能会提供一种 更可行的干预目标，特别是针对老年人。然而，人们对久坐的了解就更少了。 行为和癌症风险。我们最初的应用程序(#1 R01CA227122)被资助组装加速度计- 评估体力活动和久坐行为(2011-2014年收集)以及癌症事件和 两项关于妇女的队列研究的死亡：妇女健康研究和妇女健康倡议 目的体力活动与心血管健康研究。这两组人一起被调和了起来 并组成了妇女健康加速计量学合作。我们正在应用复杂的方法来 确定哪些体力活动和久坐行为特征对降低癌症风险最重要 在超过22,000名62岁及以上的女性中。确诊癌症的两个队列的随访 结果还在继续。这项目前的申请将通过国家卫生研究院支持申请者 多样性补充，注重将潜在类分析应用于加速度计。具体地说，一部文学作品 将回顾潜在类别分析或潜在类别轨迹建模在加速度计中的应用 指挥。利用从审查中获得的知识，将在 来自女性健康加速测量合作的体力活动和久坐行为的队列。 然后，这些类将被用来探索潜在类与总体和站点特定的关联 (例如，乳腺癌、肺癌)和致命性癌症。该项目将寻求解决某些模式是否 体力活动和久坐行为使女性患癌症的风险或高或低。 体力活动和久坐行为的新防癌模式的识别将有助于了解 预防癌症的体力活动和久坐行为指南，可用于干预 降低风险。

Abstract Cancer is the second leading cause of death in the United States for women, with an estimated 289,150 cancer-related deaths and 927,910 new cancer cases predicted to occur among women in 2021. Considering the life span, almost 40% of women will be diagnosed with cancer at some point in their lifetime. Understanding amenable risk factors that contribute to this large public health burden is essential. Observational studies indicate associations between self-reported physical activity and increased risk of many types of cancer. However, there is insufficient evidence regarding the amount, intensity, duration, and types of physical activity required to reduce cancer risk, especially for older women. Sedentary behavior may provide a more feasible intervention target, especially for older adults. However, even less is known about sedentary behavior and cancer risk. Our original application (#1 R01CA227122) was funded to assemble accelerometry- assessed physical activity and sedentary behavior (collected from 2011-2014) and cancer incident events and deaths from two cohort studies of women: the Women’s Health Study and the Women’s Health Initiative Objective Physical Activity and Cardiovascular Health Study. Together, these two cohorts were harmonized and comprise the Women’s Health Accelerometry Collaboration. We are applying sophisticated methods to determine which physical activity and sedentary behavior features are most important for reducing cancer risk among more than 22,000 women 62 years and older. Follow-up of both cohorts for adjudicated cancer outcomes is ongoing. This current application will support an applicant through a National Institutes of Health diversity supplement and focus on applying latent class analysis to accelerometry. Specifically, a literature review on the use of latent class analysis or latent class trajectory modelling applied to accelerometry will be conducted. Using the knowledge gained from the review, latent class measures will be derived among the cohort from the Women’s Health Accelerometry Collaboration for both physical activity and sedentary behavior. Those classes will then be used to explore the associations of the latent classes with overall and site-specific (e.g., breast, lung) incident and fatal cancer. This project will seek to address whether certain patterns of physical activity and sedentary behavior put women at higher or lower risk for incidence of cancer. Identification of new cancer-protective patterns of physical activity and sedentary behavior will help inform physical activity and sedentary behavior guidelines for cancer prevention and can be used in interventions to reduce risk.