Risk factors and association of body composition components for lumbar disc herniation in Northwest, Mexico

Abstract

The goal of this study was to investigate the association of body composition components and to elucidate whether any of these components is a risk factor for Lumbar Disc Herniation (LDH). The group of study consisted of 90 adults involved in a physical activity program due to overweight and obesity. 19 adults with medical diagnostic through Magnetic Resonance Imaging with LDH. Body composition data was obtained with a bioelectrical impedance analyzer. Descriptive statistics and principal components analysis permitted to analyze the information's structure and to visualize information clusters. A logistic regression analysis allowed us to find the association between some of the variables of body composition with LDH. The Degree of Obesity, Body Mass Index, Visceral Fat Area and the Abdominal Circumference resulted associated (P values of 0.0388, 0.0171, 0.0055 and 0.0032, respectively). The application of Odd Ratio allowed us to declare the Visceral Fat Area and Abdominal Circumference as risk factors to develop Lumbar Disk Herniation. Our results provide a new record for future studies, and support for prescription of physical activity and changes in diet, to correct or prevent the development of LDH in the population of Baja California.

Body composition analysis by radiological imaging – methods, applications, and prospects

“…Radiological BC parameters are often measured in clinical departments whose patients undergo radiological imaging. Subsequent correlations with clinical outcome variables are common and range from degenerative orthopedic diseases like lumbar disc herniation [68] to various ▶ Fig. 6 Proton density fat fraction (PDFF) maps of the liver prior to obesity surgery, Roux-Y gastric bypass (average over shown region of interest 14 %) and in the follow-up examinations after 1 and 7 months (8.5 % and 4.6 %, respectively).…”

“…Nicht selten werden die radiologischen BC-Parameter in jenen klinischen Fachbereichen erhoben, deren Patienten einer radiologischen Diagnostik zugeführt werden. Nachfolgende Korrelationen mit klinischen Outcome-Variablen sind weit verbreitet und reichen von degenerativen orthopädischen Erkrankungen wie einer lumbalen Bandscheibenherniation [68], über diverse Malignome (z. B. Nierenzellkarzinome [69] oder nicht-metastasierte kolorektale Karzinome [70]) und inflammatorische Krankheitsbilder (chronischentzündliche Darmerkrankungen) [71] bis hin zur Hospitalisierung bei SARS-CoV2-Infektion [72].…”

“…Radiological BC parameters are often measured in clinical departments whose patients undergo radiological imaging. Subsequent correlations with clinical outcome variables are common and range from degenerative orthopedic diseases like lumbar disc herniation 68 to various malignancies (e. g., renal cell carcinoma 69 or non-metastasized colorectal carcinoma 70 ), inflammatory diseases (chronic inflammatory bowel diseases) 71 , and hospitalization in SARS-CoV2 infection 72 . BC analyses are usually aimed at a specific question and population and in-depth assessments are often secondary 4 .…”

Genome-Wide Association in the Mitochondrial Genome Identifies Two Novel Genes Involved in Diabetes Mellitus Type 2

“…The main goal of principle component analysis (PCA) is to reduce the dimensionality of a set of data, which often consists of a large number of interrelated variables, while retaining all possible variation. This is accomplished by transforming a new group of variables known as the principal components (PCs), which are disassociated from one another and arranged so that the first few retain the most variation found in the total set of original variables [41].…”

“…Then we calculate the eigenvalues λ 1 , λ 2 , … , λ n and the eigenvectors P 1 ,P 2 , … ,P n ; and order them according to their magnitude λ 1 ≥ λ 2 ≥⋯≥λ n . The d eigenvectors must be chosen to represent the n variables, d < n. Then P 1 ,P 2 , … ,P d are known as principal components [41].…”