Copyright
©The Author(s) 2019.
World J Diabetes. Apr 15, 2019; 10(4): 260-268
Published online Apr 15, 2019. doi: 10.4239/wjd.v10.i4.260
Published online Apr 15, 2019. doi: 10.4239/wjd.v10.i4.260
Table 3 Multiple regression analysis of serum leptin determinants
Independent variables | Standardized β | T value | P value | 95%CI for B | Collinearity statistics | |
Tolerance | VIF | |||||
BMI | 0.017 | 1.057 | 0.292 | -0.015-0.049 | 0.238 | 4.208 |
BMR | 0.000 | 2.281 | 0.024 | 0.000-0.001 | 0.396 | 2.526 |
Muscle mass | -0.265 | -2.995 | 0.003 | -0.032-0.007 | 0.530 | 1.885 |
Body water (%) | 0.308 | 1.875 | 0.063 | -0.002-0.060 | 0.147 | 6.792 |
Body fat (%) | 0.488 | 2.588 | 0.011 | 0.008-0.058 | 0.129 | 7.751 |
Bone mass | -0.191 | -2.137 | 0.034 | -0.032-0.007 | 0.523 | 1.912 |
Waist Circumference | -0.022 | -0.201 | 0.841 | -0.011-0.009 | 0.468 | 2.138 |
Log 25OHD | -0.253 | -3.816 | 0.000 | -0.720-0.232 | 0.944 | 1.060 |
Male gender | -0.186 | -2.155 | 0.033 | -0.419-0.018 | 0.522 | 1.916 |
- Citation: Khan AH, Fatima SS, Raheem A, Jafri L. Are serum leptin levels predicted by lipoproteins, vitamin D and body composition? World J Diabetes 2019; 10(4): 260-268
- URL: https://www.wjgnet.com/1948-9358/full/v10/i4/260.htm
- DOI: https://dx.doi.org/10.4239/wjd.v10.i4.260