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Odontometric sex assessment from logistic regression analysis

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International Journal of Legal Medicine Aims and scope Submit manuscript

Abstract

Odontometric sex assessment is considered a useful adjunct to more robust predictors such as pelvic and cranial bones, and discriminant function analysis (DA) has been widely applied in dental sex assessment. Logistic regression analysis (LRA) is considered a better alternative, although still untested in odontometric sex prediction. This study examines the use of LRA in dental sex assessment and compares its success to DA. Mesiodistal and buccolingual dimensions of all teeth, except third molars, were obtained on dental stone casts of 105 young adults (52 females, 53 males) using digital caliper. Application of LRA to teeth of both jaws combined and to maxillary and mandibular teeth separately yielded correct sex allocation rates ranging from 76% to 100%, which proved superior to sex assessment using DA (∼52–71%). LRA enabled optimal sex prediction (100%) when all teeth in both the jaws were included. Results were not as accurate when only maxillary (76.2%) or mandibular (84.8%) teeth were used. To assess and compare the use of these multivariate techniques in practical forensic casework, >25% of tooth variables were randomly deleted. LRA still performed better (∼91% sex allocation accuracy vs. 62.9% for DA), indicating that LRA may be superior in its ability to predict sex irrespective of the presence of complete or incomplete sets of dentitions and should be preferred in dental sex assessment. The 100% success rate of LRA in correctly assigning sex is also noteworthy considering that, in general, tooth measurements have yielded sub-optimal sex prediction levels. However, unambiguous sex assessment is possible only when the entire dentition is available and correct sex allocation levels decreases when teeth are missing.

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Acknowledgments

The authors (ABA and SP) wish to thank the students and faculty who consented to provide their dental casts for this study. We express our gratitude to Prof. C. Bhasker Rao, Director, and Prof. Srinath L. Thakur, Principal, S.D.M. College of Dental Sciences and Hospital, for their continued support and encouragement to research in forensic odontology. The authors also thank Dr. Punnya V. Angadi for assistance in impression-making and cast preparation and are grateful to the anonymous reviewers whose comments and suggestions considerably enhanced the content of this paper.

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Authors and Affiliations

  1. Department of Forensic Odontology, S.D.M. College of Dental Sciences and Hospital, Sattur, 580009, Dharwad, India

    Ashith B. Acharya

  2. Department of Oral Pathology, S.D.M. College of Dental Sciences and Hospital, Sattur, 580009, Dharwad, India

    Sudeendra Prabhu

  3. Karnatak University, Pavate Nagar, 580004, Dharwad, India

    Mahadevayya V. Muddapur

Authors
  1. Ashith B. Acharya
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  2. Sudeendra Prabhu
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  3. Mahadevayya V. Muddapur
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Corresponding author

Correspondence to Ashith B. Acharya.

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Table S1

Coefficients and constant for the logistic regression analysis of all teeth in both jaws, maxillary teeth and mandibular teetha (DOC 99 kb)

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Acharya, A.B., Prabhu, S. & Muddapur, M.V. Odontometric sex assessment from logistic regression analysis. Int J Legal Med 125, 199–204 (2011). https://doi.org/10.1007/s00414-010-0417-9

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