IDEAS home Printed from https://ideas.repec.org/a/epw/ejmed0/v4y2022i1id41191.html

Estimation of Living Stature from Foot Dimensions in Uturu Indigenes of Abia State, Nigeria

Author

Listed:
  • Loveday Ese Oghenemavwe

    (University of Port Harcourt, Nigeria)

  • Oghenekome Blessing Egwede

    (Gregory University, Nigeria)

Abstract

Stature estimation is an important process in human identification. The aim of the study was to derive regression formulae for estimation of stature from foot dimensions in Uturu indigenes of Abia State. The sample consists of 150 subjects comprising of 69 males and 81 females between 18 to 50 years of age. The parameters measured were age, stature, foot length and foot width. The mean age, stature, foot length and foot width were 29.78 ±1.08 years, 1738.26 ±9.34 mm, 261.53 ±2.01 mm, 84.53 ±0.94 mm for males and 27.04 ±0.89 years, 1648.64 ±7.61mm, 242.36 ±1.80 mm, 76.14 ±0.72 mm for females respectively. The highest correlation was found between the stature and foot length in males (r = 0.68). Regression formulae were St = 2.2926(FL) + 1093.0 mm and St = 2.3637(FW) + 1467.1 mm for females and St= 3.1687(FL) + 909.54 mm and 4.6857(FW) + 1342.20 mm for males. The foot length is a more reliable for estimating stature in Uturu indigenes of Abia.

Suggested Citation

  • Loveday Ese Oghenemavwe & Oghenekome Blessing Egwede, 2022. "Estimation of Living Stature from Foot Dimensions in Uturu Indigenes of Abia State, Nigeria," European Journal of Medical and Health Sciences, European Open Science, vol. 4(1), pages 67-71, January.
  • Handle: RePEc:epw:ejmed0:v:4:y:2022:i:1:id:41191
    DOI: 10.24018/ejmed.2022.4.1.1191
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejmed/article/view/41191
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejmed/article/download/41191/9409
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejmed.2022.4.1.1191?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejmed0:v:4:y:2022:i:1:id:41191. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejmed .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.