The Relationship Between Body Composition and Metabolic Syndrome in patients with Spinal Cord Injury

• Main Authors: Shin-Tsung Feng, 馮信宗
• Other Authors: Jin-Jong Chen
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/79167641839364922069

碩士 === 國立陽明大學 === 物理治療暨輔助科技學系 === 96 === Background: Individuals with spinal cord injury（SCI）not only sustain spinal neurological deficit which causes specifically related myotomal atrophy but typically undergo changes in their body composition, such as reduction in total lean body mass, gain in body fat and obesity associated with diminished physical activity and functional mobility. Due to the known risks of chronic diseases such as hypertension, coronary artery disease(CAD), diabetes mellitus, glucose intolerance, abnormal serum lipid profile or metabolic syndrome associated with obesity, the purpose of this study is to employ the results of measurements from body composition and blood biochemical analysis to establish a simple, applicable and valid screening instrument for the assessment of alteration in body composition and the exploration of risk factors for metabolic syndrome. Methods: Volunteers with spinal cord injury over 6 months who are able to assume sitting posture with stable upper trunk were recruited as our SCI subjects with matched able-bodied recruiter served as controls. Body composition were measured and determined using bioelectrical impedance analysis（BIA）（Physion XP）and the two groups were further categorized into four subgroups according to their physical activity and functional level. Descriptive data analysis were then used to all measurements presented as mean±SD. Pearson product-moment coefficient of correlation was employed for further examination of the correlations between blood serum biochemical data and body composition data of the SCI group. Results: The SCI subject group exhibited significantly higher body fat(％)than that of control group(22.43±6.34％ vs. 18.61±5.11％, p＜0.05)and significantly lower averaged total lean body(％)of the SCI group as compared to that of the controls was revealed(32.83±3.09％ vs. 36.6±3.9％, p＜0.01). The correlations between sitting body mass index(sBMI) and total body fat (％)(r=0.785∼0.817)was higher than the correlations between body mass index(BMI)and total body fat(％)(r=0.71). The value of lean muscle (％)and sitting body mass index(sBMI)for the male SCI subjects showed negative correlationships (r=0.432∼0.519, p＜0.05). Moderately positive correlations (r=0.432∼0.5, p＜0.05) between total body fat(％)and fasting blood glucose concentration, 60-min. blood glucose concentration, 90-min. blood glucose concentration, 120-min. blood glucose concentration as well as oral glucose tolerance test (OGTT) were revealed. The correlations between lean muscle mass(％) and 30-min. blood glucose concentration, 90-min. blood glucose concentration, total cholesterol, fasting OGTT area and 120-min. OGTT area were moderately negative correlated (r=﹣0.432∼﹣0.519, p＜0.05). Moderately positive correlations were shown between sitting body mass index (sBMI) and fasting blood glucose concentration, 30-min. blood glucose concentration, 90-min. blood glucose concentration, triglyceride level and fasting OGTT area(r=0.477∼0.544, p＜0.05). Conclusion: The results indicate that the lean body mass (％)dramatically decreased and the fat mass(％)increased after spinal cord injury. Significant correlations between body composition parameters and blood sugar metabolic parameters were demonstrated. Sitting body mass index (sBMI) has been shown to be an easy and practical screen tool for SCI subjects to evaluate their body composition and metabolic changes.