Dataset Information

Predicting the location of the hip joint centres, impact of age group and sex.

ABSTRACT: Clinical gait analysis incorporating three-dimensional motion analysis plays a key role in planning surgical treatments in people with gait disability. The position of the Hip Joint Centre (HJC) within the pelvis is thus critical to ensure accurate data interpretation. The position of the HJC is determined from regression equations based on anthropometric measurements derived from relatively small datasets. Current equations do not take sex or age into account, even though pelvis shape is known to differ between sex, and gait analysis is performed in populations with wide range of age. Three dimensional images of 157 deceased individuals (37 children, 120 skeletally matured) were collected with computed tomography. The location of the HJC within the pelvis was determined and regression equations to locate the HJC were developed using various anthropometrics predictors. We determined if accuracy improved when age and sex were introduced as variables. Statistical analysis did not support differentiating the equations according to sex. We found that age only modestly improved accuracy. We propose a range of new regression equations, derived from the largest dataset collected for this purpose to date.

SUBMITTER: Hara R

PROVIDER: S-EPMC5121588 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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Predicting the location of the hip joint centres, impact of age group and sex.

Hara Reiko R McGinley Jennifer J Briggs Chris C Baker Richard R Sangeux Morgan M

Scientific reports 20161124

Clinical gait analysis incorporating three-dimensional motion analysis plays a key role in planning surgical treatments in people with gait disability. The position of the Hip Joint Centre (HJC) within the pelvis is thus critical to ensure accurate data interpretation. The position of the HJC is determined from regression equations based on anthropometric measurements derived from relatively small datasets. Current equations do not take sex or age into account, even though pelvis shape is known ...[more]

PMID: 27883044

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Project description:There are sex differences in age-related bone modifications after puberty. Androgens stimulate radial bone expansion in males, while estrogen stimulates endosteal apposition but limits periosteal expansion in females. The potential effect of age on observed sex biases in height and sex estimation models is most significantly relevant for forensic or bioarchaeological research that relies, at least in part, on hand and foot bone measurements of living or skeletal remains for purposes of identification or demographic reconstruction. This study sought to determine whether age affects sex biases in models for height and sex estimation which are based on hand and foot dimensions. The study was cross-sectional between January and June 2021 at the University for Development Studies. The study included 379 participants (male = 161 and female = 218) between 20 and 29 years. The hand length (HL), hand width (HW), foot length (FL) and foot width (FW) were measured twice from the left side using computer-assisted analysis. Univariable and multivariable discriminant and linear regression models were formulated for sex and height estimation respectively. Females were better classified than males with sex biases (male-female) ranging from −1.3% to −22.6% for all models. Models for height estimation were more precise in males (bias: 0.0–0.3 cm) than in females (bias: 0.3–1.4 cm). However, age did not have an impact on the observed sex biases. Height and sex estimation from foot and height dimensions may not need adjustment for age. This may, however, be limited to a given population and age group. Highlights • There are sex biases in the reliabilities of sex and height estimation models based on hand and foot dimensions.• While females are better classified, height estimation models were more precise in males than in females• Age may not explain the observed sex biases in hand and foot-based models for height and sex estimation in 20 to 29-year-olds• The relationship between height and dimensions of the hand and foot may not be moderated by sex in 20 to 29-year-olds• Models for sex and height estimation from hand and foot dimensions may not need adjustment for age

Dataset Information

Predicting the location of the hip joint centres, impact of age group and sex.

Publications

Predicting the location of the hip joint centres, impact of age group and sex.

Similar Datasets

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