Table 3.
Univariate and multivariable regression analysis between log-transformed PROK2 plasma levels and anthropometric, metabolic and lifestyle variables in 148 participants, the D.E.S.I.R. study.
| Single regression analysis |
Stepwise multivariable regression analysis (final parameters) |
|||
|---|---|---|---|---|
| β | P | β | P | |
| Sex | 0.043 | 0.60 | ||
| Age | −0.153 | 0.06 | ||
| BMI | −0.161 | 0.05 | −0.163 | 0.05 |
| Waist girth | −0.196 | 0.02 | ||
| Fasting glucose | −0.176 | 0.03 | ||
| HbA1c | −0.168 | 0.04 | ||
| Systolic blood pressure | −0.051 | 0.54 | ||
| Diastolic blood pressure | 0.034 | 0.68 | ||
| Ln triglycerides | −0.097 | 0.24 | ||
| Total cholesterol | −0.148 | 0.07 | ||
| HDLC | 0.101 | 0.22 | ||
| LDLC | −0.178 | 0.03 | −0.131 | 0.12 |
| Energy intake | −0.144 | 0.08 | −0.182 | 0.05 |
| Alcohol intake | −0.156 | 0.06 | ||
| Smoker status | 0.147 | 0.08 | 0.157 | 0.07 |
| Physical activity | 0.026 | 0.76 | ||
| Socio-economic statusa | F = 2.28 (7df) | 0.03 | NA | 0.04 |
β, standardized partial regression coefficient. In single regression analysis, β is equal to r, Pearson's correlation coefficient.
Sex: man = 1, woman = 2; smoker: yes = 1, no = 2; physical activity index, 3 groups (coding 0–2).
Socio-economic status: 1 = Agricultural (but not represented in the population with Prokineticin 2 measured); 2. Craftsmen, tradesmen, head of enterprise - independent, government, scientific, arts, spectacles, executives in enterprise; 3. Executives and professions with superior intellectual; 4. Intermediate professions: teachers, health professions, administrators, technicians, clergy; 5. Employees: governmental, enterprises, commerce, police; 6. Workers: qualified, non-qualified, agricultural; 7. Retired - previously agricultural workers, craftsmen, executives, employees, workers etc.; 8. Without a professional activity (unemployed, has never worked, students, apprentices, home-maker); 9. Unemployed, has previously worked.
In bold = variables selected for the stepwise analysis for log-transformed serum prokineticin level (all variables with P < 0.10 in single regression analysis). When excluding total cholesterol and HbA1c because of their strong correlation with LDLC and fasting glucose respectively, the final model was not changed.
Since socio-economic status is a categorical variable, a one factor ANOVA was performed instead of single regression analysis. It was entered in the multiple regression model as categorical variable.