The journal of spinal cord medicine · 2022
Fat to lean mass ratio in spinal cord injury: Possible interplay of components of body composition that may instigate systemic inflammation and metabolic syndrome.
Наблюдательное исследованиеСтатьяПоддержка NIH: внешняя программаПоддержка правительства СШАНазвание и аннотация: Перевод в очереди
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Dolbow David R, Farkas Gary J, Berg Arthur S, Welsch Michael A, Gorgey Ashraf S, Gater David R
Аннотация
OBJECTIVE: To investigate the relationships between percentage fat mass (%FM), percentage lean mass (%LM), and the ratio of %FM to %LM with pro-inflammatory adipokines and metabolic syndrome in individuals with chronic spinal cord injury (SCI).
DESIGN: Observational, cross-sectional. Linear and logistic regression were used to examine the associations between the %FM, %LM, and the %FM to %LM ratio with inflammatory markers and metabolic syndrome, respectively.
PARTICIPANTS: Seventy chronic SCI men and women.
MAIN OUTCOME MEASURES: %FM, %LM, %FM to %LM ratio; fasting lipids, glucose, and tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and high-sensitivity c-reactive protein (hs-CRP); metabolic syndrome as determined by The International Diabetes Federation criteria.
RESULTS: There were significant correlations between %FM, %LM and the %FM to %LM ratio with hs-CRP. The %LM beta coefficient value was negative and greater than the beta coefficient value for %FM. The %FM to %LM ratio had the strongest correlation with hs-CRP and showed the only significant relationship with IL-6. There were strong significant correlations between %FM, %LM and the %FM to %LM ratio with metabolic syndrome. However, the %FM to %LM ratio, again, showed the strongest relationship indicating that it may be the best predictor of metabolic syndrome.
CONCLUSION: Both higher %FM and lower %LM affect cardiometabolic health and can be used as predictors for metabolic syndrome. However, the %FM to %LM ratio was the best predictor of systemic inflammation and cardiometabolic disorders in this group of SCI participants, suggesting that they both contribute to the statistical model.
DESIGN: Observational, cross-sectional. Linear and logistic regression were used to examine the associations between the %FM, %LM, and the %FM to %LM ratio with inflammatory markers and metabolic syndrome, respectively.
PARTICIPANTS: Seventy chronic SCI men and women.
MAIN OUTCOME MEASURES: %FM, %LM, %FM to %LM ratio; fasting lipids, glucose, and tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and high-sensitivity c-reactive protein (hs-CRP); metabolic syndrome as determined by The International Diabetes Federation criteria.
RESULTS: There were significant correlations between %FM, %LM and the %FM to %LM ratio with hs-CRP. The %LM beta coefficient value was negative and greater than the beta coefficient value for %FM. The %FM to %LM ratio had the strongest correlation with hs-CRP and showed the only significant relationship with IL-6. There were strong significant correlations between %FM, %LM and the %FM to %LM ratio with metabolic syndrome. However, the %FM to %LM ratio, again, showed the strongest relationship indicating that it may be the best predictor of metabolic syndrome.
CONCLUSION: Both higher %FM and lower %LM affect cardiometabolic health and can be used as predictors for metabolic syndrome. However, the %FM to %LM ratio was the best predictor of systemic inflammation and cardiometabolic disorders in this group of SCI participants, suggesting that they both contribute to the statistical model.