Table 11.
Linear regressions between headache-attributed disability1 and lost household worktime (HALT questions 3 + 4) by headache type and country
| Country | Migraine | Probable medication-overuse headache | ||||
|---|---|---|---|---|---|---|
| R2 | Equation | p | R2 | Equation | p | |
| China | 0.15 | Y = 1.04x + 3.8 | < 0.001 | – | – | – |
| Ethiopia | 0.07 | Y = 0.66x + 1.9 | < 0.001 | 0.00 | Y = 0.19x + 14.2 | 0.78 |
| India | 0.04 | Y = 0.28x + 2.0 | < 0.001 | 0.01 | Y = 0.16x + 8.6 | 0.63 |
| Lithuania + Luxembourg | 0.12 | Y = 0.73x + 1.7 | < 0.001 | 0.01 | Y = -0.28x + 20.4 | 0.60 |
| Nepal | 0.04 | Y = 0.44x + 2.5 | < 0.001 | 0.01 | Y = 0.23x + 8.4 | 0.40 |
| Pakistan | 0.04 | Y = 0.73x + 9.4 | < 0.001 | 0.00 | Y = -0.05x + 19.0 | 0.76 |
| Russia | 0.08 | Y = 0.33x + 2.9 | 0.004 | 0.14 | Y = 0.48x + 7.4 | 0.002 |
| Spain | 0.21 | Y = 1.16x + 2.6 | < 0.001 | 0.04 | Y = 0.71x + 21.0 | 0.18 |
HALT: Headache-Attributed Lost Time questionnaire. 1 Calculated as proportion of time in ictal state*disability weight from GBD2015 [49]; significant p-values are emboldened.