Table 3b:
Results for Models with LOT-R Optimism and Pessimism Subscales
| CRP [hs] (n = 294) |
TNF-α (n = 295) |
IL-6 (n = 261) |
c-IMT (n = 296) |
Daytime MAP (n = 292) |
Nocturnal MAP Dipping (n = 248) |
Probability of Nocturnal MAP
Dipping (n = 248) |
|
|---|---|---|---|---|---|---|---|
| β | β | β | β | β | β | OR | |
| (p) | (p) | (p) | (p) | (p) | (p) | [95% C.I.] | |
| Model 2 | |||||||
| LOT-R Optimism | 0.01 | 0.01 | 0.02 | 0.02 | −0.01 | 0.08 | 0.70 |
| (0.83) | (0.92) | (0.75) | (0.76) | (0.89) | (0.32) | [0.37, 1.33] | |
| LOT-R Pessimism | −0.04 | −0.03 | 0.04 | 0.01 | 0.05 | 0.23 | 0.37 |
| (0.51) | (0.67) | (0.60) | (0.84) | (0.41) | (0.005) | [0.20, 0.67] | |
| Age | 0.13 | −0.07 | 0.13 | 0.36 | 0.21 | −0.00 | 0.99 |
| (0.025) | (0.31) | (0.06) | (<0.001) | (<0.001) | (0.99) | [0.96, 1.03] | |
| Gender | −0.10 | −0.29 | −0.19 | 0.09 | 0.21 | 0.04 | 0.55 |
| (0.042) | (<0.001) | (0.002) | (0.12) | (<0.001) | (0.57) | [0.25, 1.21] | |
| Hispanic | 0.04 | −0.17 | −0.04 | −0.01 | −0.10 | 0.08 | 0.68 |
| (0.48) | (0.003) | (0.49) | (0.89) | (0.07) | (0.26) | [0.27, 1.73] | |
| Non-Hispanic Black | 0.06 | −0.20 | 0.05 | 0.04 | 0.07 | 0.04 | 0.84 |
| (0.27) | (0.001) | (0.39) | (0.48) | (0.22) | (0.54) | [0.26, 2.78] | |
| BMI | 0.52 | 0.08 | 0.30 | −0.04 | 0.36) | 0.02 | 0.97 |
| (0.001) | (0.15) | (<0.001) | (0.42) | (<0.001) | (0.82) | [0.92, 1.03] | |
| Meds | −0.03 | 0.04 | −0.01 | 0.10 | 0.01 | −0.08 | 1.44 |
| (0.65) | (0.50) | (0.87) | (0.10) | (0.86) | (0.27) | [0.49, 4.22] | |
| Active | - | - | - | - | 0.10 | 0.04 | 1.36 |
| - | - | - | - | (0.05) | (0.52) | [0.18, 10.63] | |
Note: Bold indicates statistically significant at a = 0.05. P = Standardized regression coefficient. OR = Odds ratio; 95% C.I. = 95% confidence interval; LOT-R Total = Life Orientation Test Total Score; CRP[hs] = high-sensitivity C-Reactive Protein; TNF-α = Tumor Necrosis Factor- Alpha; IL-6 = Interleukin-6; cIMT = Carotid Intima Media Thickness; MAP = mean arterial pressure. Hispanic and non-Hispanic Black = Indicators for ethnicity with White as reference category; Model 2 = Both of the LOT-R subscales were used in the same models together as primary predictors.