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Structural Equation Modeling of Latent Growth Curves of Weight Gain among Treated Tuberculosis Patients

机译:结核病患者体重增加潜伏增长曲线的结构方程模型

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Tuberculosis still remains a major public health problem even though it is treatable and curable. Weight gain measurement during anti tuberculosis (TB) treatment period is an important component to assess the progress of TB patients. In this study, Latent Growth Models (LGMs) were implemented in a longitudinal design to predict the change in weight of TB patients who were given three different regimens under randomized controlled clinical trial for anti-TB treatment. Linear and Quadratic LGMs were fitted using Mplus software. The age, sex and treatment response of the TB patients were used as time invariant independent variables of the growth trajectories. The quadratic trend was found to be better in explaining the changes in weight without grouping than the quadratic model for three group comparisons. A significant increase in the change of weight over time was identified while a significant quadratic effect indicated that weights were sustained over time. The growth rate was similar in both the groups. The treament response had significant association with the growth rate of weight scores of the patients.
机译:结核病即使可以治愈,也仍然是主要的公共卫生问题。抗结核病治疗期间体重增加的测量是评估结核病患者病情进展的重要组成部分。在这项研究中,在纵向设计中实施了潜伏生长模型(LGM),以预测在随机对照临床试验中接受三种不同治疗方案治疗的结核病患者的体重变化。使用Mplus软件拟合线性和二次LGM。结核病患者的年龄,性别和治疗反应被用作生长轨迹的时不变独立变量。发现二次趋势比三组比较的二次模型更好地解释了没有分组的体重变化。重量随时间的变化显着增加,而二次方的显着影响则表明重量随时间持续存在。两组的增长率相似。治疗反应与患者体重分数的增长速率显着相关。

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