Table 5.
Results for the amino acid combination in the random cohort sample
Model | 3 amino acids (Isoleucine, Phenylalanine, Tyrosine) |
5 amino acids (Isoleucine, Phenylalanine, Tyrosine, Leucine, Valine) |
---|---|---|
Models adjusting for age, sex, BMI, and fasting glucose (n=601) | ||
Per SD (score) | 1.33 (1.08-1.63) | 1.33 (1.08-1.63) |
P | 0.008 | 0.007 |
1st quartile | 1.0 (referent) | 1.0 (referent) |
2nd quartile | 1.12 (0.64-1.98) | 1.07 (0.60-1.90) |
3rd quartile | 1.43 (0.81-2.53) | 1.67 (0.95-2.95) |
4th quartile | 1.73 (0.96-3.10) | 1.94 (1.08-3.49) |
P for trend | 0.03 | 0.005 |
Models adjusting for age, sex, BMI, fasting glucose, and parental history (n=516) | ||
Per SD (score) | 1.36 (1.08-1.70) | 1.38 (1.09-1.74) |
P | 0.008 | 0.007 |
1st quartile | 1.0 (referent) | 1.0 (referent) |
2nd quartile | 1.42 (0.73-2.73) | 1.48 (0.76-2.89) |
3rd quartile | 1.93 (1.00-3.71) | 2.16 (1.11-4.20) |
4th quartile | 2.01 (1.02-3.99) | 2.23 (1.12-4.42) |
P for trend | 0.03 | 0.01 |
Values are odds ratios (95% confidence intervals) for diabetes, from conditional logistic regressions. The amino acid combination is modeled according to the formula β1X1 + β2X2 + β3X3, with Xj denoting the standardized value for the jth amino acid, and βj denoting the regression coefficient from the conditional logistic regression model containing the indicated metabolites.