The study of relationship between of metabolic syndromes, blood lipids and health-related physical fitness quotients (HPFQ). Methods: 305 university students' subjects underwent a series of 19.85±1.52 yrs, height 173.56±4.65 cm, weight 66.20±10.43 kg, to the tests of health-related physical fitness for calculating the HPFQ and were then divided into three groups as low, fair, and high HPFQ on the basis of total subjects' mean quotients and standard deviation. Their venous blood was also collected and further analyzed for the characteristics of plasma lipids in the level of total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and triglyceride (TG). Their factors of metabolic syndrome was also collected and further analyzed for the body mass index (BMI), waist circumference, fasting blood glucose, blood pressure, TG and HDL-C. The point-bacterial correlation and Pearson product-moment correlation coefficient were used to assess the relationship between variables. The Scheffe's method after analysis of HPFQ and chi-square test were used to check if the distribution of participants in HPFQ was normal. In addition, the one-way ANOVA was also used to examine the difference in plasma lipids characteristics between groups. Results: Strong correlations were also found between HPFQ and HDL-C, LDL-C, TG, TC/HDL-C, LDL-C/HDL-C, metabolic syndrome, respectively (r=-.52~.46, p<.01). Subjects with of male and female students for each group in the TG, HDL-C, TC/HDL-C, LDL-C/HDL-C and waist circumference, were statistically significant differences (F=4.57~9.52, p<.01). Subjects with have metabolic syndrome, were also found of low HPFQ than in fair HPFQ and high HPFQ for male and female students (χ^2=21.74, p<.01). Conclusion: To the showed that HPFQ level and plasma lipids, metabolic syndrome between variables of significant connected. It was found that the HPFQ distribution in this study had a normal curve and HPFQ seemed to be able to be applied in discriminating collegiate male students' plasma lipids.
The study of relationship between of metabolic syndromes, blood lipids and health-related physical fitness quotients (HPFQ). Methods: 305 university students' subjects underwent a series of 19.85±1.52 yrs, height 173.56±4.65 cm, weight 66.20±10.43 kg, to the tests of health-related physical fitness for calculating the HPFQ and were then divided into three groups as low, fair, and high HPFQ on the basis of total subjects' mean quotients and standard deviation. Their venous blood was also collected and further analyzed for the characteristics of plasma lipids in the level of total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and triglyceride (TG). Their factors of metabolic syndrome was also collected and further analyzed for the body mass index (BMI), waist circumference, fasting blood glucose, blood pressure, TG and HDL-C. The point-bacterial correlation and Pearson product-moment correlation coefficient were used to assess the relationship between variables. The Scheffe's method after analysis of HPFQ and chi-square test were used to check if the distribution of participants in HPFQ was normal. In addition, the one-way ANOVA was also used to examine the difference in plasma lipids characteristics between groups. Results: Strong correlations were also found between HPFQ and HDL-C, LDL-C, TG, TC/HDL-C, LDL-C/HDL-C, metabolic syndrome, respectively (r=-.52~.46, p<.01). Subjects with of male and female students for each group in the TG, HDL-C, TC/HDL-C, LDL-C/HDL-C and waist circumference, were statistically significant differences (F=4.57~9.52, p<.01). Subjects with have metabolic syndrome, were also found of low HPFQ than in fair HPFQ and high HPFQ for male and female students (χ^2=21.74, p<.01). Conclusion: To the showed that HPFQ level and plasma lipids, metabolic syndrome between variables of significant connected. It was found that the HPFQ distribution in this study had a normal curve and HPFQ seemed to be able to be applied in discriminating collegiate male students' plasma lipids.