Table 3.
Multivariate Associations between Selected Factors and Percent Underreporting in Individuals*
| β coefficient | Std. Error | p-value | |
|---|---|---|---|
| BMI (kg/m2) | −1.3 | 0.2 | <0.001 |
| Sex** | 9.6 | 2.9 | 0.001 |
| Age (y) | −0.1 | 0.2 | 0.77 |
| Education (tertile**) | 1.9 | 1.8 | 0.31 |
| Site vs US | |||
| Seychelles | −12.4 | 4.0 | 0.002 |
| Jamaica | −6.4 | 4.2 | 0.13 |
| South Africa | −38.3 | 4.2 | <0.001 |
| Ghana | −12.6 | 5.1 | 0.013 |
| Intercept | 6.2 | 10.9 | 0.57 |
Dependent variable in the regression model is % underreporting of TEI; a negative β-coefficient indicates an inverse association, i.e., as BMI increases, the TEI/TEE decreases (the percent underreporting is greater)
Men = 0, women = 1; site-specific lowest tertile of education = 1, highest = 3