Canda A. Stature estimation from body segment lengths in young adults--application to people with physical disabilities.
J Physiol Anthropol 2009;
28:71-82. [PMID:
19346667 DOI:
10.2114/jpa2.28.71]
[Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Knowledge of stature is necessary for evaluating nutritional status and for correcting certain functional parameters. Measuring stature is difficult or impossible in bedridden or wheelchair-bound persons and may also be diminished by disorders of the spinal column or extremities. The purpose of this work is to develop estimation equations for young adult athletes for their subsequent application to disabled persons. The main sample comprised 445 male and 401 female sportspersons. Cross validation was also performed on 100 males and 101 females. All were Caucasian, the males being over 21 and the females over 18, and all practiced some kind of sport. The following variables were included: stature, sitting height, arm span, and lengths of upper arm, forearm, hand, thigh, lower leg, and foot. Simple and multiple regression analyses were performed using stature as a dependent variable and the others as predictive variables. The best equation for males (R(2)=0.978; RMSE=1.41 cm; PE=1.54 cm) was stature: 1.346+1.023 * lower leg+0.957 * sitting height+0.530 * thigh+0.493 * upper arm+0.228 * forearm. For females (R(2)=0.959; RMSE=1.57 cm; PE=1.25 cm) it was stature: 1.772+0.159 * arm span+0.957 * sitting height+0.424 * thigh+0.966 * lower leg. Alternative equations were developed for when a particular variable cannot be included for reasons of mobility, technical difficulty, or segment loss.
Collapse