Table 3.
Cross-sectional associations of total plasma EETs and DHETs with fasting plasma glucose.
| —————-SHFS—————- | —————–SHS—————– | ———-Meta-analysis———- | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean diff.* | 95% CI | P^ | Mean diff.* | 95% CI | P^^ | Mean diff.* | 95% CI | P^^^ | ||
| 14,15-EET | -0.25 | (-0.77, 0.26) | 0.33 | 0.05 | (-1.08, 1.17) | 0.94 | -0.20 | (-0.67, 0.26) | 0.39 | |
| 11,12-EET | -0.28 | (-0.82, 0.27) | 0.32 | 0.01 | (-1.13, 1.15) | 0.98 | -0.22 | (-0.71, 0.27) | 0.37 | |
| 8,9-EET | -0.39 | (-0.97, 0.20) | 0.19 | 0.30 | (-0.90, 1.50) | 0.63 | -0.26 | (-0.78, 0.27) | 0.34 | |
| 5,6-EET | -0.21 | (-0.77, 0.34) | 0.45 | 0.13 | (-1.16, 1.42) | 0.85 | -0.16 | (-0.67, 0.35) | 0.54 | |
| 14,15-DHET | -0.93 | (-1.53, -0.33) | 0.002 | -0.20 | (-1.41, 1.01) | 0.75 | -0.79 | (-1.32, -0.25) | 0.004 | |
| 11,12-DHET | -0.82 | (-1.31, -0.33) | 0.001 | 0.45 | (-0.66, 1.57) | 0.43 | -0.62 | (-1.07, -0.17) | 0.007 | |
| 8,9-DHET | -0.74 | (-1.39, -0.09) | 0.02 | 0.18 | (-1.09, 1.46) | 0.78 | -0.55 | (-1.13, 0.03) | 0.06 | |
| 5,6-DHET | -0.53 | (-1.26, 0.20) | 0.16 | -0.91 | (-2.23, 0.41) | 0.18 | -0.62 | (-1.26, 0.02) | 0.06 | |
Abbreviations: EET=Epoxyeicosatrienoic Acid; DHET= Dihydroxyeicosatrieonic acid; SHFS= Strong Heart Family Study; SHS= Strong Heart Study
The analyses were conducted in 1161 participants in the SHFS and 271 participants in the SHS and included adjustments for age, sex, site, education, smoking, physical activity, BMI (Kg/m2), waist circumference and LDL levels. Results from the two cohorts were combined in meta-analyses.
Mean diff.: mean difference in mg/dL plasma glucose associated with one SD higher log EET/DHET species.
Inverse probability-of-being-sampled weighted Generalized Estimating Equations (GEE) regression Wald test with robust sandwich variance-covariance under a family cluster-specific exchangeable working correlation structure, and results from multiple imputations combined using Rubin's rules
Linear regression Wald test with robust standard errors and results from multiple imputations combined using Rubin's rules.
Inverse-variance weighted fixed-effects meta analysis.