Table 3.
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