Department of General Practice, Erasmus MC, University Medical Centre Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands.
Department of General Practice, Erasmus MC, University Medical Centre Rotterdam, PO Box 2040, 3000 CA Rotterdam, The Netherlands.
J Clin Epidemiol. 2014 Aug;67(8):947-51. doi: 10.1016/j.jclinepi.2014.03.007. Epub 2014 Apr 26.
Weight loss interventions often present small mean weight changes over time, despite the fact that a substantial proportion of the participants lost more weight. This effect is often leveled out by the substantial proportion of participants who gained weight during the trial. The aim of this study is to identify and describe distinct subgroups of participants with different weight change trajectories during and after a weight loss intervention.
We used data from a weight loss intervention that was part of a randomized controlled trial on the preventive effect of a tailor-made weight loss intervention and oral glucosamine sulfate on the incidence of knee osteoarthritis in 407 overweight women aged 50 to 60 years. Latent class growth analysis (LCGA) was used to identify subgroups of participants with different weight change trajectories over time.
Using LCGA, we identified three subgroups with different trajectories of weight change, one large group (n = 298) with almost no change over time, and two smaller groups (both n = 48), of which one represents participants who steadily gained weight over time, whereas the other represents participants who steadily lost weight over time. Participants that had relatively low body weight around their 40th year of life and that gained weight in the year preceding the study were most likely to belong to the group that lost weight.
LCGA was a suitable method to identify three distinct groups of participants with different trajectories of weight change. Low body weight at age 40 and weight gain in the year preceding the study were associated with a higher chance of membership of the group that lost weight. It seems weight loss that occurred during this weight loss intervention was mostly recently gained weight.
尽管有相当一部分参与者体重减轻，但减肥干预措施通常会随着时间的推移呈现出较小的平均体重变化。这一效果往往被大量在试验期间体重增加的参与者所平衡。本研究的目的是确定并描述在减肥干预期间和之后体重变化轨迹不同的参与者的不同亚组。
我们使用了一项减肥干预措施的数据，该措施是一项随机对照试验的一部分，旨在研究针对超重女性（年龄在 50 至 60 岁之间）的定制减肥干预和口服葡萄糖胺硫酸盐对膝关节骨关节炎发病率的预防效果。潜在类别增长分析（LCGA）用于确定随时间体重变化轨迹不同的参与者亚组。
使用 LCGA，我们确定了三个随时间体重变化轨迹不同的亚组，一个大组（n=298）体重几乎没有变化，两个较小的亚组（每组 n=48），其中一个代表参与者随着时间的推移体重稳步增加，而另一个代表参与者随着时间的推移体重稳步减轻。在 40 岁左右体重相对较低且在研究前一年体重增加的参与者最有可能属于减重组。
LCGA 是一种识别随时间体重变化轨迹不同的三个参与者亚组的合适方法。40 岁时的低体重和研究前一年的体重增加与属于减重组的可能性较高有关。似乎在减肥干预期间发生的体重减轻主要是最近增加的体重。
