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Cheng, Jack C. Y.; Leung, S. S. F.; Chiu, Billy; Tse, P.; Lee, C.; Chan, Andrew K.; Guo, Xia; Leung, Aaron Kam-Lun; Xu, Yuliang

doi:10.1097/00004694-199805000-00022

Cited by 15 publications

(3 citation statements)

References 21 publications

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“…Tanner et al [5] described the distal-to-proximal growth gradient in adolescents: distal body parts have their pubertal growth spurt earlier in adolescence in comparison to more proximal body parts. This theory from the 1960s was investigated by other researchers and indeed different ages were found for the PGV of the different body length dimensions [6–8]. The peak growth of, for example, foot length or subischial leg length preceded the peak growth of sitting height and this might be useful in determining the age of the PGV of sitting height in advance.…”

Section: Introductionmentioning

confidence: 90%

The growth of different body length dimensions is not predictive for the peak growth velocity of sitting height in the individual child

et al. 2010

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The aim of this study was to determine whether the differences in timing of the peak growth velocity (PGV) between sitting height, total body height, subischial leg length, and foot length can be used to predict whether the individual patient with adolescent idiopathic scoliosis is before or past his or her PGV of sitting height. Furthermore, ratios of growth of different body parts were considered in order to determine their value in prediction of the PGV of sitting height in the individual patient. Ages of the PGV were determined for sitting height (n = 360), total body height (n = 432), subischial leg length (n = 357), and foot length (n = 263), and compared for the whole group and for the individual child in particular. Furthermore, the ages of the highest and lowest ratios between the body length dimensions were determined and compared to the age of the PGV of sitting height. The mean ages of the highest and lowest ratios were significantly different from the mean age of the PGV of sitting height in 3 out of 12 ratios in girls and 8 out of 12 ratios in boys. The variation over children was large and the ratios were too small, leading to a too large influence of measurement errors. The mean ages of the PGV all differed significantly from the mean age of the PGV of sitting height. However, the variation over individual children of the age differences in PGV between body dimensions was large, and the differences in timing of the PGV were not useful to predict whether the individual child is before or past his or her PGV of sitting height.

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Section: Introductionmentioning

confidence: 90%

The growth of different body length dimensions is not predictive for the peak growth velocity of sitting height in the individual child

et al. 2010

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“…Arm span measurements are particularly important to record in addition to height gains in patients with scoliosis because curve deterioration may cause a reduction in overall height, and thus, mask the actual spine growth achieved [ 22 ]. Regardless, the correlation between arm span and standing height is nearly identical, so any change in arm span is quite representative of the height gains [ 51 ]. One study suggested that standing height is ~97% of arm span, with boys having a slightly greater proportion than girls [ 52 ].…”

Section: Growth Measurementsmentioning

confidence: 99%

Managing the Pediatric Spine: Growth Assessment

Luk

2017

Asian Spine J

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Management of pediatric spinal deformities requires an accurate prediction of growth spurts to allow for timely initiation of treatment and prevention of curve progression. Determining remaining growth potential is also important for avoiding prolonged unnecessary treatment, e.g. bracing for patients nearing skeletal maturity. Many clinical and radiological growth parameters have been developed to aid clinicians in growth prediction. Of these, several commonly used measures such as height and arm span growth trends, timing of menarche, and the Risser sign are mostly retrospective and lack strong predictive utility. Bone age assessments, such as digital skeletal age and the distal radius and ulna classification, are more accurate parameters, but further research is required to determine interethnic variations and develop their role in management decisions.

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“…Additionally, Stevenson ( 5 ) used TL measurement to estimate the height of children with moderate CP aged up to 12 years old. In another study, TL measurement was used to estimate the height of children aged 3–18 years in China but only among healthy children ( 8 ) . In addition, these equations have not been validated as suitable for Malaysian CP children, and thus, the malnutrition may be over or underestimated.…”

Section: Introductionmentioning

confidence: 99%

Validated predictive equations based on tibial length in estimating height for children with cerebral palsy for 2–18 years, across all GMFCS levels

et al. 2021

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Children with cerebral palsy (CP) typically suffer from congenital deformities, such as scoliosis and contractures, therefore, it is a challenge to measure the stature of CP children. Studies have suggested that predictive equations based on tibia length (TL) may be used as an alternative method in measuring the actual height or stature. The present study aimed to develop and validate predictive equations based on TL for CP children in Malaysia across all five levels of gross motor functions (GMFCS I to V) through a cross-sectional study. All subjects were recruited from Hospitals and Community-Based Rehabilitation (CBR) in the central and southern regions of Malaysia. Two predictive equation models were developed using multiple linear regression. For Model 1, the predictive equation was developed based on TL. On the other hand, Model 2 was developed based on TL with age was included. A flexible Seca measuring tape was used to measure the stature and TL. CP children aged 2–18 years were classified into the equation development group (EDG), n 177 and the validation group (VG), n 139. Model 1, Height = 32⋅3 + 3⋅14 (TL), demonstrated a strong correlation with the actual height (R2 0⋅834), small SEE (1⋅42), and high intra correlation coefficient (0⋅929). The findings suggested that Model 1 was more accurate in estimating the height of CP children aged 2–18 years. This model was shown to suit the Malaysian population and applicable across all GMFCS levels.

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Cited by 15 publications

References 21 publications

The growth of different body length dimensions is not predictive for the peak growth velocity of sitting height in the individual child

The growth of different body length dimensions is not predictive for the peak growth velocity of sitting height in the individual child

Managing the Pediatric Spine: Growth Assessment

Validated predictive equations based on tibial length in estimating height for children with cerebral palsy for 2–18 years, across all GMFCS levels

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