Sutter Health, Center for Health Systems Research, Palo Alto Medical Foundation Research Institute, Palo Alto, CA, USA.
Sutter Health, Center for Health Systems Research, Division of Research, Development & Dissemination, Walnut Creek, CA, USA.
Transl Behav Med. 2020 Dec 31;10(6):1458-1471. doi: 10.1093/tbm/ibz118.
Centers for Disease Control and Prevention aligned lifestyle change programs are effective in promoting weight loss among those with elevated cardiometabolic risk; yet, variability in weight outcomes among participants is high. Little is known about heterogeneity of short-term weight changes among participants in real-world clinical practice. We sought to identify short-term weight trajectory clusters among lifestyle change program participants in real-world clinical practice and to examine the relationship between cluster membership and long-term weight outcomes. We identified participants from the electronic health records (2010-2017) with weight measured ≤30 days prior to program initiation (baseline) and in four intervals (3-week segments) in the 12 weeks after baseline. Clustering analysis was performed to identify distinct trajectories in percent weight change over 12 weeks. Cluster-specific differences in weight change at 12 and 52 weeks were assessed. Among 1,148 participants, across 18 clinic sites, three clusters were identified: minimal-to-no weight loss (MWL), delayed-minimal weight loss (DWL), and steady-moderate weight loss (SWL), corresponding to mean weight changes of 0.4%, -2.3%, and -4.8% at 12 weeks follow-up, respectively. Mean weight changes were 0.4%, -1.8%, and -5.1% for MWL, DWL, and SWL clusters, respectively, at 52 weeks follow-up, which correlated in direction and magnitude with short-term weight changes. Clustering analysis reveals heterogeneous, short-term weight trajectories among lifestyle change program participants in real-world clinical practice. Given the relationship between the magnitudes of short- and long-term weight change, individual participant weight trajectories may be useful in identifying potential non-responders in need of adjunctive or alternative therapy.
疾病控制与预防中心的生活方式改变计划在促进心血管代谢风险升高的人群减肥方面是有效的;然而,参与者的体重结果差异很大。在真实临床实践中,关于参与者短期体重变化的异质性知之甚少。我们试图确定真实临床实践中生活方式改变计划参与者的短期体重轨迹群,并研究群组成员与长期体重结果之间的关系。我们从电子健康记录(2010-2017 年)中确定了在计划开始前≤30 天(基线)和基线后 12 周内的四个时间间隔(3 周段)内测量体重的参与者。进行聚类分析以确定 12 周内体重变化的不同轨迹。评估了 12 周和 52 周时体重变化的聚类特异性差异。在 18 个临床站点的 1148 名参与者中,确定了三个群集:体重减轻最小或无(MWL)、延迟最小体重减轻(DWL)和稳定中度体重减轻(SWL),分别对应于 12 周随访时体重变化的 0.4%、-2.3%和-4.8%。在 52 周随访时,MWL、DWL 和 SWL 聚类的平均体重变化分别为 0.4%、-1.8%和-5.1%,与短期体重变化的方向和幅度相关。聚类分析揭示了真实临床实践中生活方式改变计划参与者的短期体重轨迹存在异质性。鉴于短期和长期体重变化的幅度之间的关系,个体参与者的体重轨迹可能有助于识别需要辅助或替代治疗的潜在无反应者。