Key result
Body mass index was significantly associated with metabolic syndrome diagnosis, with an optimal cutoff value of 22.8 kg/m2 for individuals with chronic spinal cord injury.
Why the study?
The validity of different anthropometric measures in diagnosing metabolic syndrome among individuals with spinal cord injury was unclear, leaving obesity cutoff values for this population undefined.
Cohort (n=157)
No
Effect estimate: AUC 0.765 (95% CI 0.689-0.842)
p-value: p=<0.001
A stricter BMI cutoff of 22.8 kg/m2 is recommended for diagnosing metabolic syndrome in individuals with chronic spinal cord injury.
Supports lower BMI cutoff consideration for MetS screening in chronic SCI; hypothesis-generating and requires prospective validation.
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.
No takes yet. Share an insight, caveat, or question.
Shin et al. (2022) conducted a cohort in Chronic Spinal Cord Injury (n=157). Body mass index (BMI) was evaluated on Diagnosis of metabolic syndrome (AUC 0.765, 95% CI 0.689-0.842, p=<0.001). Body mass index was significantly associated with metabolic syndrome diagnosis, with an optimal cutoff value of 22.8 kg/m2 for individuals with chronic spinal cord injury.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: