Table 6.
Predictors of dysmenorrhea catastrophizing, results from simple and multiple linear regression modelsa.
| Predictors | Simple linear regression | Multiple linear regressiona | ||
|---|---|---|---|---|
| Beta (95% CI) | R 2 | Beta (95% CI) | P | |
| Age (years) | −0.01 (−0.03, 0.00) | 0.023 | ||
| Race and ethnicity: white vs. others | −0.68 (−1.18, −0.17) | 0.065 | −0.16 (−0.58, 0.26) | 0.454 |
| Education (1–4, lowest to highest) | −0.18 (−0.37, 0.01) | 0.034 | ||
| Dysmenorrhea onset | 0.082 | 0.430 | ||
| With 1st/2nd period | 1.15 (0.33, 1.96) | 0.27 (−0.39, 0.93) | ||
| ≤1 years of 1st period | 0.86 (−0.00, 1.71) | −0.00 (−0.70, 0.69) | ||
| ≤5 years of 1st period | 0.71 (−0.31, 1.74) | 0.17 (−0.61, 0.96) | ||
| ≥5 years of 1st period | Ref | Ref | ||
| Dysmenorrhea frequency | 0.310 | 0.911 | ||
| Seldom/rarely | Ref | Ref | ||
| During some periods | 0.19 (−0.74, 1.12) | 0.12 (−0.70, 0.94) | ||
| During most periods | 0.96 (0.11, 1.81) | 0.22 (−0.55, 0.98) | ||
| During every period | 1.72 (0.97, 2.47) | 0.27 (−0.50, 1.05) | ||
| When dysmenorrhea usually started | 0.068 | 0.933 | ||
| The day the period started | Ref | Ref | ||
| 1–2 days before the period | 0.31 (−0.14, 0.76) | −0.07 (−0.44, 0.30) | ||
| ≥3 days before the period | 0.79 (0.21, 1.37) | −0.04 (−0.54, 0.46) | ||
| Dysmenorrhea duration | 0.307 | 0.080 | ||
| 1–2 days | Ref | Ref | ||
| 3–4 days | 0.76 (0.35, 1.18) | 0.23 (−0.17, 0.64) | ||
| ≥5 days | 1.46 (1.02, 1.90) | 0.57 (0.07, 1.08) | ||
| Dysmenorrhea intensity | 0.543 | <0.001 | ||
| Mild | Ref | Ref | ||
| Moderate | 0.48 (0.02, 0.95) | 0.25 (−0.29, 0.79) | ||
| Severe | 1.79 (1.37, 2.20) | 1.28 (0.70, 1.85) | ||
| Worst pain imaginable | 2.38 (1.64, 3.13) | 1.62 (0.67, 2.56) | ||
| Used prescribed opioids: yes vs. no | 1.01 (0.31, 1.72) | 0.074 | 0.22 (−0.41, 0.85) | 0.482 |
| Used marijuana: yes vs. no | 0.96 (0.32, 1.60) | 0.080 | 0.27 (−0.29, 0.84) | 0.340 |
| R-squared | 0 . 63 | |||
a
Models were performed in one complete dataset randomly selected from the 10 imputed datasets.
b
Only significant predictors of dysmenorrhea catastrophizing (P < 0.05) from the simple linear regression models entered the multiple linear regression model.