Table 3.
Logistic regression analyses of the interaction between ω-6 fatty acids intake and blood cadmium on low cognitive performance
| Total fatty acids intake | Blood cadmium | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|---|
| OR (95%CI) | P | OR (95%CI) | P | OR (95%CI) | P | ||
| ω-6 fatty acids | |||||||
| Normal-level | Normal-level | Ref | Ref | Ref | |||
| Normal-level | High-level | 2.069 (1.535–2.788) | < 0.001 | 1.955 (1.466–2.605) | < 0.001 | 1.484 (1.083–2.037) | 0.011 |
| Low-level | Normal-level | 1.666 (1.149–2.414) | 0.005 | 1.637 (1.124–2.383) | 0.012 | 1.548 (1.005–2.386) | 0.039 |
| Low-level | High-level | 3.403 (1.814–6.384) | < 0.001 | 3.237 (1.743–6.011) | < 0.001 | 2.602 (1.310–5.169) | 0.005 |
| RERI (95%CI) | 0.668 (0.240–1.096) | 0.654 (0.248–1.060) | 0.570 (0.208–0.932) | ||||
| AP (95%CI) | 0.196 (0.089–0.304) | 0.202 (0.095–0.309) | 0.219 (0.102–0.336) | ||||
| S (95%CI) | 1.385 (1.137–1.687) | 1.413 (1.154–1.730) | 1.552 (1.189–2.027) | ||||
OR odds ratio, CI confidence interval, Ref reference, RERI relative excess risk due to interaction, AP attributable proportion of interaction, S synergy index
Model 1: Univariable logistic regression analysis
Model 2: Multivariate logistic regression analysis with adjustment for age, gender and BMI
Model 3: Multivariate logistic regression analysis with adjustment for age, gender, BMI, race, marital status, educational level, annual household income, drinking, work activity, recreational activities, depression, hypertension, diabetes, stroke, CHF, heart attack, TC, GHb, 25(OH)D