Dalla Lana School of Public Health, University of Toronto, 155 College Street, Health Sciences Building 6th Floor, Suite 600, Toronto, ON, M5T 3M7, Canada.
Department of Medicine, University of California Irvine, Irvine, CA.
Ann Epidemiol. 2022 Aug;72:9-17. doi: 10.1016/j.annepidem.2022.04.004. Epub 2022 Apr 22.
The objective of this manuscript is to identify longitudinal trajectories of change in body mass index (BMI) after menopause and investigate the association of BMI trajectories with risk of diabetes and cardiovascular disease (CVD) among postmenopausal women.
Using data from 54,073 participants in the Women's Health Initiative (WHI) clinical trials, we used growth mixture modeling (GMM) to develop BMI trajectories. Cox proportional hazards models were used to examine the relationship between BMI trajectories with incident diabetes and CVD. Further, we stratified by hormone therapy trial arm and time since menopause.
Using GMM, we identified five BMI trajectories. We did not find evidence of substantial change in BMI over time; the trajectories were stable over the study follow-up period in this sample of postmenopausal women. Risk of diabetes and CVD increased by BMI trajectory; risk was greater for women in moderate-high, high, and very high BMI trajectories compared to those in the lowest trajectory group.
Despite minimal change in BMI over the follow-up period, our results demonstrate a strong association of high BMI with diabetes and CVD. These results highlight the importance of further longitudinal research focused on adverse health effects of BMI in older women.
本研究旨在确定绝经后体重指数(BMI)的纵向变化轨迹,并探讨 BMI 轨迹与绝经后女性糖尿病和心血管疾病(CVD)风险之间的关联。
本研究使用了来自妇女健康倡议(WHI)临床试验的 54073 名参与者的数据,使用增长混合模型(GMM)来开发 BMI 轨迹。使用 Cox 比例风险模型来检验 BMI 轨迹与新发糖尿病和 CVD 的关系。此外,我们还按激素治疗试验臂和绝经后时间进行了分层。
使用 GMM,我们确定了五种 BMI 轨迹。我们没有发现 BMI 随时间显著变化的证据;在本绝经后女性样本中,这些轨迹在研究随访期间是稳定的。糖尿病和 CVD 的风险随 BMI 轨迹增加;与最低 BMI 轨迹组相比,中高、高和极高 BMI 轨迹组的女性风险更高。
尽管在随访期间 BMI 变化不大,但我们的结果表明,BMI 与糖尿病和 CVD 之间存在很强的关联。这些结果强调了进一步进行关注老年女性 BMI 对健康不良影响的纵向研究的重要性。