Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri.
Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.
Cancer Res. 2018 Apr 15;78(8):1898-1903. doi: 10.1158/0008-5472.CAN-17-3043.
In contrast to the convincing evidence that obesity (measured by body mass index, BMI) increases the risk of many different types of cancer, there is an ambiguity in the role of obesity in survival among cancer patients. Some studies suggested that higher BMI decreased mortality risk in cancer patients, a phenomenon called the obesity paradox. The spurious positive association between BMI and cancer survival is likely to be explained by several methodologic limitations including confounding, reverse causation, and collider stratification bias. Also, the inadequacy of BMI as a measure of body fatness in cancer patients commonly experiencing changes in body weight and body composition may have resulted in the paradox. Other factors contributing to the divergent results in literature are significant heterogeneity in study design and method (e.g., study population, follow-up length); time of BMI assessment (pre-, peri-, or post-diagnosis); and lack of consideration for variability in the strength and directions of associations by age, sex, race/ethnicity, and cancer subtype. Robust but practical methods to accurately assess body fatness and body compositions and weight trajectories in cancer survivors are needed to advance this emerging field and to develop weight guidelines to improve both the length and the quality of cancer survival. .
与肥胖(通过身体质量指数 BMI 来衡量)增加多种不同类型癌症风险的有力证据相反,肥胖在癌症患者的生存中所扮演的角色存在一定的模糊性。一些研究表明,较高的 BMI 降低了癌症患者的死亡风险,这种现象被称为肥胖悖论。BMI 与癌症生存之间存在虚假的正相关关系,可能是由于混杂、反向因果关系和碰撞分层偏倚等几种方法学局限性造成的。此外,BMI 作为衡量癌症患者体脂的指标并不完善,因为他们通常会经历体重和身体成分的变化,这可能导致了悖论的出现。导致文献中结果不一致的其他因素包括研究设计和方法(例如,研究人群、随访时间)存在显著的异质性;BMI 评估的时间(诊断前、诊断时或诊断后);以及缺乏考虑年龄、性别、种族/族裔和癌症亚型对关联强度和方向的可变性。为了推进这一新兴领域的发展,并制定改善癌症患者生存时间和质量的体重指南,需要有可靠但实用的方法来准确评估癌症幸存者的体脂、身体成分和体重轨迹。