Belli Guido, Russo Luca, Mauro Mario, Toselli Stefania, Maietta Latessa Pasqualino
Department of Sciences for Life Quality Studies, University of Bologna, 47921 Rimini, Italy.
Department of Human Sciences, IUL Telematic University, 50122 Florence, Italy.
Healthcare (Basel). 2024 Mar 28;12(7):738. doi: 10.3390/healthcare12070738.
The evaluation of the lumbopelvic region is a crucial point during postural assessment in childhood and adolescence. Photogrammetry (PG) and Spinal Mouse (SM) are two of the most debated tools to properly analyze postural alignment and avoid misleading data. This study aims to find out the best linear regression model that could relate the analytic measurements of the SM with one or more PG parameters in adolescents with kyphotic postures. Thirty-nine adolescents (female = 35.9%) with structural and non-structural kyphosis were analyzed (13.2 ± 1.8 years; 1.59 ± 0.12 m; 47.6 ± 11.8 kg) using the SM and PG on the sagittal plane in a standing and forward-bending position, allowing for the measurement of body vertical inclination, lumbar and pelvic alignment, trunk flexion, sacral inclination during bending, and hip position during bending. Lordosis lumbar angles (SM) were significantly (r = -0.379, r = -0.328) correlated with the SIPS-SIAS angle (PG) during upright standing, while in the bending position, the highest correlation appeared among the sacral-hip (SM) and the sacral tangent (ST_PG; r = -0.72) angles. The stepwise backward procedure was assessed to estimate the SM variability in the bending and standing positions. Only in the bending position did the linear regression model reach high goodness-of-fit values with two regressors (ST_PG η2=0.504, BMI η2=0.252; =0.558, < 0.001, CCC = 0.972, r = 0.763). Despite gold-standard methods reducing error evaluation, physicians and kinesiologists may consider photogrammetry as a good method for spinal curve prediction.
在儿童和青少年的姿势评估过程中,腰骶部区域的评估是一个关键点。摄影测量法(PG)和脊柱鼠标(SM)是用于正确分析姿势对齐并避免误导性数据的两种最具争议的工具。本研究旨在找出最佳线性回归模型,该模型能够将SM的分析测量值与脊柱后凸姿势青少年的一个或多个PG参数相关联。使用SM和PG在矢状面上对39名患有结构性和非结构性脊柱后凸的青少年(女性占35.9%)进行分析(年龄13.2±1.8岁;身高1.59±0.12米;体重47.6±11.8千克),测量其站立位和前屈位时的身体垂直倾斜度、腰椎和骨盆对齐情况、躯干屈曲度、弯曲时的骶骨倾斜度以及弯曲时的髋关节位置。站立位时,腰椎前凸角(SM)与SIPS-SIAS角(PG)显著相关(r = -0.379,r = -0.328),而在弯曲位时,骶骨-髋关节(SM)和骶骨切线(ST_PG;r = -0.72)角之间的相关性最高。采用逐步向后法评估弯曲位和站立位时SM的变异性。仅在弯曲位时,线性回归模型与两个回归变量的拟合优度值较高(ST_PG η2 = 0.504,BMI η2 = 0.252; = 0.558, < 0.001,CCC = 0.972,r = 0.763)。尽管金标准方法减少了误差评估,但医生和运动机能学家可能会认为摄影测量法是预测脊柱曲线的一种好方法。