Final analytic model of fatigue using two-part regression modeling
| Variables within hierarchical models | First part—logistic regression(n = 600)Any fatigue (binary) | Second part—OLS regression(n = 576)Magnitude of fatigue | Overall model stats | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | SE | 95% CI | P | Pseudo R2 | b | SE | 95% CI | P | R2 | AIC | LR test | |
| Base covariates | < 0.04 | 0.074 | < 0.0001 | 0.086 | 4,192 | Base | ||||||
| Age | 1.00 | 0.02 | 0.96–1.03 | 0.83 | –0.07 | 0.03 | –0.12–0.01 | 0.02 | ||||
| Gender (ref. female) | ||||||||||||
| Male | 0.72 | 0.39 | 0.25–2.07 | 0.54 | –0.94 | 0.92 | –2.73–0.86 | 0.31 | ||||
| Education (ref. ≤ HS) | ||||||||||||
| Bachelor’s degree | 0.14 | 0.14 | 0.02–1.07 | 0.06 | –2.48 | 0.82 | –4.09–0.88 | 0.002 | ||||
| Master’s degree or above | 0.16 | 0.17 | 0.02–1.25 | 0.08 | –4.51 | 0.81 | –6.10––2.92 | < 0.001 | ||||
| DMT (ref. no therapy) | ||||||||||||
| First line | 0.60 | 0.41 | 0.16–2.27 | 0.45 | –1.34 | 0.97 | –3.23–0.56 | 0.17 | ||||
| Second line | 1.84 | 1.45 | 0.39–8.58 | 0.44 | 0.25 | 0.97 | –1.65–2.15 | 0.80 | ||||
| MS subtype (ref. RRMS) | ||||||||||||
| SPMS | 1.50 | 1.22 | 0.31–7.35 | 0.62 | 2.55 | 0.99 | 0.62–4.48 | 0.01 | ||||
| Childhood stressors | 0.01 | 0.105 | < 0.0001 | 0.138 | 4,160 | < 0.0001 | ||||||
| Child stressor count | 0.51 | 0.19 | 0.24–1.07 | 0.07 | –1.23 | 0.59 | –2.38––0.08 | < 0.04 | ||||
| Child stressor severity | 1.24 | 0.12 | 1.02–1.51 | 0.03 | 0.47 | 0.13 | 0.21–0.74 | < 0.001 | ||||
Categories within variables dropped from the model based on collinearity: 1) transgender, non-binary, gender non-conforming, or other, 2) associate degree or some college, 3) PPMS, 4) PRMS, 5) unsure. ≤ HS: high school equivalency or below; PPMS: primary progressive MS; PRMS: progressive-relapsing MS; ref.: reference; SPMS: secondary progressive MS. Blank cells indicate not applicable to individual variables