1. Relation between Photogrammetry and Spinal Mouse for Lumbopelvic Assessment in Adolescents with Thoracic Kyphosis.
- Author
-
Belli, Guido, Russo, Luca, Mauro, Mario, Toselli, Stefania, and Maietta Latessa, Pasqualino
- Subjects
STATISTICAL models ,CROSS-sectional method ,GOODNESS-of-fit tests ,BODY mass index ,KYPHOSIS ,HUMAN beings ,DESCRIPTIVE statistics ,LUMBAR vertebrae ,LORDOSIS ,PHOTOGRAMMETRY ,CONFIDENCE intervals ,THORACIC vertebrae ,POSTURAL balance ,SPINAL cord ,REGRESSION analysis ,ADOLESCENCE - Abstract
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 η 2 = 0.504 , BMI η 2 = 0.252 ; adjusted- R
2 =0.558, p < 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. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF