Cargando…
The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials
In forensic age assessment of living individuals, developmental stages of skeletal maturation and tooth mineralization are examined and compared with a reference population. It is of interest which factors can affect the development of these features. We investigated the effect of body mass index (B...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266698/ https://www.ncbi.nlm.nih.gov/pubmed/32700015 http://dx.doi.org/10.1007/s00414-020-02381-2 |
_version_ | 1783719993938018304 |
---|---|
author | Timme, Maximilian Karch, André Shay, Denys Ottow, Christian Schmeling, Andreas |
author_facet | Timme, Maximilian Karch, André Shay, Denys Ottow, Christian Schmeling, Andreas |
author_sort | Timme, Maximilian |
collection | PubMed |
description | In forensic age assessment of living individuals, developmental stages of skeletal maturation and tooth mineralization are examined and compared with a reference population. It is of interest which factors can affect the development of these features. We investigated the effect of body mass index (BMI) on the developmental stages of the medial epiphysis of the clavicle, the distal epiphysis of the radius, the distal epiphysis of the femur, the proximal epiphysis of the tibia, and the left lower third molar in a total of 581 volunteers, 294 females and 287 males aged 12–24 years, using 3 T MRI. BMI values in the cohort ranged from 13.71 kg/m(2) in a 12-year-old female to 35.15 kg/m(2) in an 18-year-old female. The effect of BMI on the development of the characteristics was investigated using linear regression models with multivariable fractional polynomials. In the univariable analysis, BMI was associated with all feature systems (beta between 0.10 and 0.44; p < 0.001). When accounting for the physiological increase of BMI with increasing age, the effect of BMI was lower and in the majority of the models no longer clinically relevant. Betas decreased to values between 0.00 and 0.05. When adding feature variables to a model already including age, r(2) values increased only minimally. For an overall bone ossification score combining all characteristics, the adjusted ß was 0.11 (p = 0.021) and 0.08 (p = 0.23) for females and males, respectively. Low ß and r(2) values (0.00 (adjusted)–0.16 (crude)) were present in both models for third molar development already in the unadjusted analyses. In conclusion, our study found no to little effect of BMI on osseous development in young adults. Teeth development in both sexes was completely independent of BMI. Therefore, dental methods should be part of every age assessment. |
format | Online Article Text |
id | pubmed-8266698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82666982021-07-20 The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials Timme, Maximilian Karch, André Shay, Denys Ottow, Christian Schmeling, Andreas Int J Legal Med Original Article In forensic age assessment of living individuals, developmental stages of skeletal maturation and tooth mineralization are examined and compared with a reference population. It is of interest which factors can affect the development of these features. We investigated the effect of body mass index (BMI) on the developmental stages of the medial epiphysis of the clavicle, the distal epiphysis of the radius, the distal epiphysis of the femur, the proximal epiphysis of the tibia, and the left lower third molar in a total of 581 volunteers, 294 females and 287 males aged 12–24 years, using 3 T MRI. BMI values in the cohort ranged from 13.71 kg/m(2) in a 12-year-old female to 35.15 kg/m(2) in an 18-year-old female. The effect of BMI on the development of the characteristics was investigated using linear regression models with multivariable fractional polynomials. In the univariable analysis, BMI was associated with all feature systems (beta between 0.10 and 0.44; p < 0.001). When accounting for the physiological increase of BMI with increasing age, the effect of BMI was lower and in the majority of the models no longer clinically relevant. Betas decreased to values between 0.00 and 0.05. When adding feature variables to a model already including age, r(2) values increased only minimally. For an overall bone ossification score combining all characteristics, the adjusted ß was 0.11 (p = 0.021) and 0.08 (p = 0.23) for females and males, respectively. Low ß and r(2) values (0.00 (adjusted)–0.16 (crude)) were present in both models for third molar development already in the unadjusted analyses. In conclusion, our study found no to little effect of BMI on osseous development in young adults. Teeth development in both sexes was completely independent of BMI. Therefore, dental methods should be part of every age assessment. Springer Berlin Heidelberg 2020-07-23 2020 /pmc/articles/PMC8266698/ /pubmed/32700015 http://dx.doi.org/10.1007/s00414-020-02381-2 Text en © ©The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Timme, Maximilian Karch, André Shay, Denys Ottow, Christian Schmeling, Andreas The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
title | The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
title_full | The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
title_fullStr | The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
title_full_unstemmed | The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
title_short | The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
title_sort | relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266698/ https://www.ncbi.nlm.nih.gov/pubmed/32700015 http://dx.doi.org/10.1007/s00414-020-02381-2 |
work_keys_str_mv | AT timmemaximilian therelevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT karchandre therelevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT shaydenys therelevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT ottowchristian therelevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT schmelingandreas therelevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT timmemaximilian relevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT karchandre relevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT shaydenys relevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT ottowchristian relevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials AT schmelingandreas relevanceofbodymassindexinforensicageassessmentoflivingindividualsanageadjustedlinearregressionanalysisusingmultivariablefractionalpolynomials |