Long-Term BMI Trajectories and Health in Older Adults: Hierarchical Clustering of Functional Curves.
Long-Term BMI Trajectories and Health in Older Adults: Hierarchical Clustering of Functional Curves.
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DOI：
10.1177/0898264315584329
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发表时间：
2015-12
影响因子：
2.8
通讯作者：
Nguyen H
中科院分区：
文献类型：
--
作者：
Zajacova A;Huzurbazar S;Greenwood M;Nguyen H
该项目有助于新兴的研究，旨在确定人口中不同的体重指数（BMI）轨迹类型。我们确定了老年人的长期BMI曲线簇，并确定了这些簇在初始健康方面的差异。健康与退休研究队列（N = 9，893），使用强大的尖端方法分析了在多达10个波（1992-2010）中收集的BMI信息：通过条件期望主分析（PACE）算法估计的BMI函数的分层聚类。每个性别出现了三个BMI轨迹集群：稳定，增加和失去。在两种性别的增益和稳定组的初始健康是可比的，失去集群经历了显着较差的健康在基线。老年人的BMI轨迹在两种性别中都分为不同的类型，并且这些类型在初始健康方面差异很大。体重减轻而不是增加与这个年龄组的初始健康状况不佳有关。
This project contributes to the emerging research that aims to identify distinct body mass index (BMI) trajectory types in the population. We identify clusters of long-term BMI curves among older adults and determine how the clusters differ with respect to initial health. Health and Retirement Study cohort (N = 9,893) with BMI information collected in up to 10 waves (1992–2010) is analyzed using a powerful cutting-edge approach: hierarchical clustering of BMI functions estimated via the Principal Analysis by Conditional Expectations (PACE) algorithm. Three BMI trajectory clusters emerged for each gender: stable, gaining, and losing. The initial health of the gaining and stable groups in both genders was comparable; the losing cluster experienced significantly poorer health at baseline. BMI trajectories among older adults cluster into distinct types in both genders, and the clusters vary substantially in initial health. Weight loss but not gain is associated with poor initial health in this age group.