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IJERPH
Volume 18
Issue 5
10.3390/ijerph18052521
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Article

Prediction of Lumbar Disc Bulging and Protrusion by Anthropometric Factors and Disc Morphology

by
Isabella Yu-Ju Hung
1,
Tiffany Ting-Fang Shih
2,
Bang-Bin Chen
2 and
Yue Leon Guo
3,4,5,*
1
Department of Nursing, Chung Hwa University of Medical Technology, Tainan 71703, Taiwan
2
Department of Medical Imaging and Radiology, National Taiwan University (NTU) Hospital and NTU College of Medicine, Taipei 100225, Taiwan
3
National Institute of Environmental Health Sciences, National Health Research Institute (NHRI), Miaoli 35053, Taiwan
4
Department of Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei 100225, Taiwan
5
Graduate Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei 100225, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(5), 2521; https://doi.org/10.3390/ijerph18052521
Received: 28 January 2021 / Revised: 22 February 2021 / Accepted: 26 February 2021 / Published: 4 March 2021
(This article belongs to the Section Public Health Statistics and Risk Assessment)
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Abstract

The relationship between reduced disc height and disc bulging and/or protrusion has been controversial. The purposes of this study were to examine the relationship between disc morphology and disc bulging and protrusion and to establish a model for predicting disc bulging and protrusion. This is a retrospective study. A total of 452 MRI scans from a spine study were analysed, 210 (46.5%) were men. Logistic regression analysis was applied to identify the association between anthropometric factors, disc morphology factors, and outcome. Model 1 was constructed using anthropometric variables to investigate the capacity for predicting outcomes. Model 2 was constructed using anthropometric and disc morphology variables. Age, body weight, body height, disc height, and disc depth were significantly associated with outcome. The area under the curve (AUC) statistics of Model 2 were significantly better than those of Model 1 at the L3-L4 and L4-L5 levels but not at the L5-S1 level. The results showed an association between disc morphology and disc bulging and/or protrusion at the L3-L4, L4-L5, and L5-S1 levels. The model utilizing both anthropometric factors and disc morphology factors had a better capacity to predict disc bulging and/or protrusion compared with the model using only anthropometric factors. View Full-Text
Keywords: predictive model; disc bulging; disc protrusion; morphology; receiver operating characteristic (ROC) curve; anthropometric factors predictive model; disc bulging; disc protrusion; morphology; receiver operating characteristic (ROC) curve; anthropometric factors
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MDPI and ACS Style

Hung, I.Y.-J.; Shih, T.T.-F.; Chen, B.-B.; Guo, Y.L. Prediction of Lumbar Disc Bulging and Protrusion by Anthropometric Factors and Disc Morphology. Int. J. Environ. Res. Public Health 2021, 18, 2521. https://doi.org/10.3390/ijerph18052521

AMA Style

Hung IY-J, Shih TT-F, Chen B-B, Guo YL. Prediction of Lumbar Disc Bulging and Protrusion by Anthropometric Factors and Disc Morphology. International Journal of Environmental Research and Public Health. 2021; 18(5):2521. https://doi.org/10.3390/ijerph18052521

Chicago/Turabian Style

Hung, Isabella Y.-J., Tiffany T.-F. Shih, Bang-Bin Chen, and Yue L. Guo. 2021. "Prediction of Lumbar Disc Bulging and Protrusion by Anthropometric Factors and Disc Morphology" International Journal of Environmental Research and Public Health 18, no. 5: 2521. https://doi.org/10.3390/ijerph18052521

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