Dataset Information

Factors Affecting Metabolic Syndrome in Individuals With Chronic Spinal Cord Injury.

ABSTRACT:

Objective

To assess the validity of different anthropometric measures (waist circumference [WC], body mass index [BMI], and percentage body fat) in diagnosing metabolic syndrome (MetS) among individuals with SCI and provides preliminary data for future studies in setting obesity cutoff values for this population.

Methods

This was a single-center retrospective cohort study. Sample information, anthropometric measures, and MetS variables of 157 individuals with chronic SCI were collected from an electronic medical records database.

Results

Increasing age (odds ratio [OR]=1.040, p=0.016) and lower neurological level of injury (OR=1.059, p=0.046) were risk factors for MetS. Male BMI (r=0.380, p<0.001) and male WC (r=0.346, p<0.001) were positively correlated with the number of MetS subfactors. Individuals with non-obese WC, excluding central obesity, were associated with having no MetS subfactors (p=0.005), and individuals with obese WC were associated with one or more subfactors (p=0.005). BMI was associated with MetS diagnosis (area under the curve=0.765, p<0.001), with the calculated cutoff value for BMI being 22.8 kg/m2.

Conclusion

This study calls for a stricter BMI cutoff for individuals with SCI in diagnosing MetS and warrants a large population-based study to define central obesity according to sex and ethnicity.

SUBMITTER: Shin JW

PROVIDER: S-EPMC8913272 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

Factors Affecting Metabolic Syndrome in Individuals With Chronic Spinal Cord Injury.

Shin Ji Won JW Kim Tayeon T Lee Bum-Suk BS Kim Onyoo O

Annals of rehabilitation medicine 20220228 1

<h4>Objective</h4>To assess the validity of different anthropometric measures (waist circumference [WC], body mass index [BMI], and percentage body fat) in diagnosing metabolic syndrome (MetS) among individuals with SCI and provides preliminary data for future studies in setting obesity cutoff values for this population.<h4>Methods</h4>This was a single-center retrospective cohort study. Sample information, anthropometric measures, and MetS variables of 157 individuals with chronic SCI were coll ...[more]

PMID: 35272437

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Project description:With emerging applications of spinal cord electrical stimulation in restoring autonomic and motor function after spinal cord injury, understanding the neuroanatomical substrates of the human spinal cord after spinal cord injury using neuroimaging techniques can play a critical role in optimizing the outcomes of these stimulation-based interventions. In this study, we have introduced a neuroimaging acquisition and analysis protocol of the spinal cord in order to identify: (i) spinal cord levels at the lumbosacral enlargement using nerve root tracing; (ii) variability in the neuroanatomical characteristics of the spinal cord among individuals; (iii) location of the epidural stimulation paddle electrode and contacts with respect to the spinal cord levels at lumbosacral enlargement; and (iv) the links between the anatomical levels of stimulation and the corresponding neurophysiological motor responses. Twelve individuals with chronic, motor complete spinal cord injury implanted with a spinal cord epidural stimulator were included in the study (age: 34 ± 10.9 years, sex: 10 males, 2 females, time since injury: 8.2 ± 9.9 years, American Spinal Injury Association Impairment Scale: 6 A, 6 B). High-resolution MRI scans of the spinal cord were recorded pre-implant. An analysis of neuroanatomical substrates indicates that the length of the spinal column and spinal cord, location of the conus tip and the relationship between the spinal cord levels and vertebral levels, particularly at the lumbosacral enlargement, are variable across individuals. There is no statistically significant correlation between the length of the spinal column and the length of the spinal cord. The percentage of volumetric coverage of the lumbosacral spinal cord by the epidural stimulation paddle electrode ranges from 33.4 to 90.4% across participants. The location of the spinal cord levels with respect to the electrode contacts varies across individuals and impacts the recruitment patterns of neurophysiological responses. Finally, MRI-based spinal cord modelling can be used as a guide for the prediction and preplanning of optimum epidural stimulation paddle placement prior to the implant surgery to ensure maximizing functional outcomes. These findings highlight the crucial role that the neuroanatomical characteristics of the spinal cord specific to each individual play in achieving maximum functional benefits with spinal cord electrical stimulation.

Dataset Information

Factors Affecting Metabolic Syndrome in Individuals With Chronic Spinal Cord Injury.

Objective

Methods

Results

Conclusion

Publications

Factors Affecting Metabolic Syndrome in Individuals With Chronic Spinal Cord Injury.

Similar Datasets

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