Table 5.
Final model of the multiple linear regression analysis considering delta of physical activity level by accelerometry as dependent variable age and deltas of socioeconomic status, activity level by MBQE questionnaire, BMI, MAC sedentary activity by accelerometry, light, moderate and vigorous activity by accelerometry, systolic and diastolic blood pressure, LDL, HDL, uric acid, triglycerides, glucose, cholesterol as predictors.
| Variables | Estimates | CI 95% | p-value | R 2 |
|---|---|---|---|---|
| Glucose | −0.437 | −0.789/−0.124 | 0.001 | 0.782 |
| Light physical activity by accelerometry | 0.246 | 0.130/0.275 | <0.001 | 0.624 |
| Moderate physical activity by accelerometry | 0.763 | 0.567/0.924 | <0.001 | 0.745 |
| Sedentary behavior by accelerometry | 0.253 | 0.189/0.512 | <0.001 | 0.947 |
| CAM | 2.223 | 1.872/4.985 | 0.002 | 0.989 |
Estimate (β) = beta, CI 95% = confidence interval, R2 proportion of variation of the dependent variable explained by the independent variables.