Cole Tim James
a Population, Policy and Practice Programme , UCL Great Ormond Street Institute of Child Health , London , UK.
Ann Hum Biol. 2018 Jun;45(4):314-320. doi: 10.1080/03014460.2018.1453948. Epub 2018 Apr 18.
The SITAR model expresses individual pubertal height growth in terms of mean size, peak height velocity (PHV) and age at PHV.
To use SITAR to identify the optimal time interval between measurements to summarise individual pubertal height growth.
Heights in 3172 boys aged 9-19 years from Christ's Hospital School measured on 128 679 occasions (a median of 42 heights per boy) were analysed using the SITAR (SuperImposition by Translation And Rotation) mixed effects growth curve model, which estimates a mean curve and three subject-specific random effects. Separate models were fitted to sub-sets of the data with measurement intervals of 2, 3, 4, 6, 12 and 24 months, and the different models were compared.
The models for intervals 2-12 months gave effectively identical results for the residual standard deviation (0.8 cm), mean spline curve (6 degrees of freedom) and random effects (correlations >0.9), showing there is no benefit in measuring height more often than annually. The model for 2-year intervals fitted slightly less well, but needed just four-to-five measurements per individual.
Height during puberty needs to be measured only annually and, with slightly lower precision, just four biennial measurements can be sufficient.
SITAR模型从平均身高、身高增长峰值速度(PHV)和PHV出现时的年龄来描述个体青春期身高增长情况。
使用SITAR模型确定测量之间的最佳时间间隔,以总结个体青春期身高增长情况。
对来自基督医院学校的3172名9至19岁男孩的身高进行分析,共测量了128679次(每个男孩中位数为42次身高测量),采用SITAR(平移和旋转叠加)混合效应生长曲线模型,该模型估计一条平均曲线和三个个体特异性随机效应。对数据子集分别拟合测量间隔为2、3、4、6、12和24个月的模型,并比较不同模型。
测量间隔为2至12个月的模型在残差标准差(0.8厘米)、平均样条曲线(6个自由度)和随机效应(相关性>0.9)方面给出了基本相同的结果,表明每年测量身高一次以上并无益处。两年间隔的模型拟合效果稍差,但每个个体仅需四至五次测量。
青春期身高仅需每年测量一次,精度稍低的情况下,每两年测量四次也足够。