Caire-Juvera Graciela, Arendell Leslie A, Maskarinec Gertraud, Thomson Cynthia A, Chen Zhao
Nutrition Department, Centro de Investigación en Alimentación y Desarrollo, Sonora, México.
Menopause. 2008 Mar-Apr;15(2):319-25. doi: 10.1097/gme.0b013e3181405b8a.
To evaluate the associations of body composition, including percentage of lean and fat mass, with the percentage of mammographic density and mammographic dense area among pre- and postmenopausal Hispanic and non-Hispanic white women.
In this cross-sectional study, a total of 238 women aged 41 to 50 or 56 to 70 years were recruited from local mammography clinics and community health centers. Postmenopausal status was defined as an absence of any menstrual cycle within the past 12 calendar months or having a follicle-stimulating hormone level between 22 and 138 mIU/mL. The participants' most recent mammograms were used for the mammographic density analysis. Body composition was measured by dual-energy x-ray absorptiometry. The associations between the percentage of mammographic density or mammographic dense area and body composition components were analyzed using logistic regression.
Mammographic dense areas were similar in Hispanic and non-Hispanic white women. The percentage of mammographic density varied by ethnicity in premenopausal (P = 0.023), but not in postmenopausal women. Body composition, both higher lean mass and lower fat mass, was associated with a higher percentage of mammographic density (P < 0.05). Interestingly, a higher percentage of total body fat mass and a lower percentage of total body lean mass were correlated with larger breast dense areas in premenopausal women but with lower breast dense areas in postmenopausal women. These relationships between body composition and mammographic density measurements were not significantly affected by factors such as age, ethnicity, and body weight.
Body composition is highly correlated with mammographic density and should be examined as a possible confounding factor in studies involving mammographic density measurements and breast cancer risk.
评估身体成分(包括瘦体重和脂肪量百分比)与绝经前后西班牙裔和非西班牙裔白人女性的乳房X线密度百分比及乳房X线致密面积之间的关联。
在这项横断面研究中,从当地乳房X线摄影诊所和社区健康中心招募了总共238名年龄在41至50岁或56至70岁之间的女性。绝经后状态定义为在过去12个日历月内无任何月经周期,或促卵泡生成素水平在22至138 mIU/mL之间。参与者最近的乳房X线照片用于乳房X线密度分析。通过双能X线吸收法测量身体成分。使用逻辑回归分析乳房X线密度百分比或乳房X线致密面积与身体成分组成部分之间的关联。
西班牙裔和非西班牙裔白人女性的乳房X线致密面积相似。乳房X线密度百分比在绝经前女性中因种族而异(P = 0.023),但在绝经后女性中无差异。身体成分,即较高的瘦体重和较低的脂肪量,与较高的乳房X线密度百分比相关(P < 0.05)。有趣的是,较高的全身脂肪量百分比和较低的全身瘦体重百分比与绝经前女性较大的乳房致密面积相关,但与绝经后女性较低的乳房致密面积相关。身体成分与乳房X线密度测量之间的这些关系不受年龄、种族和体重等因素的显著影响。
身体成分与乳房X线密度高度相关,在涉及乳房X线密度测量和乳腺癌风险的研究中,应将其作为一个可能的混杂因素进行检查。