Niina Korpinen, Asla Keisu, Jaakko Niinimäki, Jaro Karppinen, Markku Niskanen, Juho-Antti Junno, Petteri Oura, Body mass estimation from dimensions of the fourth lumbar vertebra in middle aged Finns, Legal Medicine, Volume 40, 2019, Pages 5-16, ISSN 1344-6223, https://doi.org/10.1016/j.legalmed.2019.06.008
Body mass estimation from dimensions of the fourth lumbar vertebra in middle-aged Finns
|Author:||Korpinen, Niina1; Keisu, Asla2; Niinimäki, Jaakko3,4;|
1Department of Archaeology, Faculty of Humanities, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
2Cancer Research and Translational Medicine Research Unit, Faculty of Medicine, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
3Medical Research Center Oulu, Faculty of Medicine, University of Oulu and Oulu University Hospital, PO Box 5000, FI-90014 Oulu, Finland
4Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
5Center for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 5000, FI-90014 Oulu, Finland
6Finnish Institute of Occupational Health, Aapistie 1, FI-90220 Oulu, Finland
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019112243722
|Publish Date:|| 2020-06-29
Although body mass is not a stable trait over the lifespan, information regarding body size assists the forensic identification of unknown individuals. In this study, we aimed to study the potential of using the fourth lumbar vertebra (L4) for body mass estimation among contemporary Finns. Our sample comprised 1158 individuals from the Northern Finland Birth Cohort 1966 who had undergone measurements of body mass at age 31 and 46 and lumbar magnetic resonance imaging (MRI) at age 46. MRI scans were used to measure the maximum and minimum widths, depths, and heights of the L4 body. Their means and sum were calculated together with vertebral cross-sectional area (CSA) and volume. Ordinary least squares (OLS) and reduced major axis (RMA) regression was used to produce equations for body mass among the full sample (n = 1158) and among normal-weight individuals (n = 420). In our data, body mass was associated with all the L4 size parameters (R = 0.093–0.582, p ≤ 0.019 among the full sample; R = 0.243–0.696, p ≤ 0.002 among the normal-weight sample). RMA regression models seemed to fit the data better than OLS, with vertebral CSA having the highest predictive value in body mass estimation. In the full sample, the lowest standard errors were 6.1% (95% prediction interval ±9.6 kg) and 7.1% (±9.1 kg) among men and women, respectively. In the normal-weight sample, the lowest errors were 4.9% (±6.9 kg) and 4.7% (±5.7 kg) among men and women, respectively. Our results indicate that L4 dimensions are potentially useful in body mass estimation, especially in cases with only the axial skeleton available.
|Pages:||5 - 16|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3126 Surgery, anesthesiology, intensive care, radiology
615 History and archaeology
NFBC1966 received financial support from the University of Oulu, Oulu, Finland (Grant no. 65354 and 24000692); the Oulu University Hospital, Oulu, Finland (Grant no. 2/97, 8/97, and 24301140); the Finnish Ministry of Health and Social Affairs (Grant no. 23/251/97, 160/97, 190/97); the National Institute for Health and Welfare, Helsinki, Finland (Grant no. 54121); the Finnish Institute of Occupational Health, Oulu, Finland (Grant no. 50621, 54231); and the ERDF European Regional Development Fund (Grant no. 539/2010 A31592). N.K. received financial support from the Finnish Cultural Foundation.
© 2019 Elsevier B.V. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.