Table 4.
Multiple linear regression model for the covariates-adjusted association between dysmenorrhea catastrophizing and dysmenorrhea interferencea.
| Variables predicting dysmenorrhea interference (1–4) | Beta (95% CI) | P |
|---|---|---|
| Dysmenorrhea catastrophizing (1–4, lowest to highest) | 0.44 (0.29, 0.59) | <0.001 |
| Dysmenorrhea frequency (1–4, lowest to highest) | 0.12 (−0.05, 0.29) | 0.167 |
| Dysmenorrhea duration (1–3, lowest to highest) | −0.15 (−0.34, 0.04) | 0.122 |
| Dysmenorrhea intensity (1–4, lowest to highest) | 0.29 (0.07, 0.50) | 0.009 |
| Pain catastrophizing (PCS total score) | 0.00 (−0.01, 0.01) | 0.397 |
| Age at clinical visit (years) | 0.01 (0.00, 0.02) | 0.021 |
| Education (1–4, lowest to highest) | −0.08 (−0.19, 0.03) | 0.144 |
| White vs. other racial and ethnic groups | −0.14 (−0.41, 0.13) | 0.312 |
| Diagnosis of endometriosis | 0.17 (−0.09, 0.44) | 0.207 |
| Experience of childhood abuse | 0.11 (−0.11, 0.34) | 0.324 |
CI, confidence interval; PCS, Pain Catastrophizing Scale.
Missing values were imputed using multiple imputation with 10 imputation sets assuming multivariate normal distribution. All predicting variables, as well as auxiliary variables including major clinical presentation (pelvic pain vs. vulvar pain), experience of adult abuse (yes vs. no), ever use of tobacco (yes vs. no), BMI at the clinical visit (kg/m2), PHQ-2 screening score (ranging 0–6), GAD-2 screening score (ranging 0–6), clinical diagnosis of previous and/or current MDD, and clinical diagnosis of previous and/or GAD, were included in the imputation model for variables with missing value.