| Literature DB >> 32513174 |
Li Ping Wong1, Haridah Alias2, Nirmala Bhoo-Pathy2, Ivy Chung3, Yew Ching Chong4, Sonesh Kalra4, Zia U Bahkt Sultan Shah4.
Abstract
BACKGROUND/Entities:
Keywords: Absenteeism; MIDAS; Migraine; Presenteeism; WPAI; Work productivity
Mesh:
Year: 2020 PMID: 32513174 PMCID: PMC7282083 DOI: 10.1186/s10194-020-01144-z
Source DB: PubMed Journal: J Headache Pain ISSN: 1129-2369 Impact factor: 7.277
Demographic information of participants and its association with the outcome of the ID-Migraine™ test (N = 1268)
| ID-Migraine™ Migraine screening outcome | Multivariable logistic regressiona | ||||
|---|---|---|---|---|---|
| n(%) | |||||
| Overall | Positive for migraine | Negative for migraine | Positive vs. negative for migraine | ||
| 19–30 | 286 (22.6) | 132 (46.2) | 154 (53.8) | 1.42 (0.91–2.2003) | |
| 31–40 | 503 (39.7) | 253 (50.3) | 250 (49.7) | 0.033 | 1.61 (1.07–2.44)* |
| 41–50 | 353 (27.8) | 168 (47.6) | 185 (52.4) | 1.40 (0.91–2.16) | |
| > 50 | 126 (9.9) | 45 (35.7) | 81 (64.3) | Reference | |
| Male | 356 (28.1) | 133 (37.4) | 223 (62.6) | Reference | |
| Female | 912 (71.9) | 465 (51.0) | 447 (49.0) | 1.69 (1.30–2.19)*** | |
| Malay | 644 (50.8) | 342 (53.1) | 302 (46.9) | Reference | |
| Chinese | 465 (36.7) | 170 (36.6) | 295 (63.4) | 0.54 (0.42–0.69)*** | |
| Indian | 106 (8.4) | 58 (54.7) | 48 (45.3) | 1.207 (0.79–1.84) | |
| Others | 53 (4.2) | 28 (52.8) | 25 (47.2) | 1.029 (0.58–1.81) | |
| Administration and Management | 662 (52.2) | 309 (46.7) | 353 (53.3) | ||
| Sales, Marketing and Customer Service | 225 (17.7) | 101 (44.9) | 124 (55.1) | ||
| Information Technology and Technical | 138 (10.9) | 69 (50.0) | 69 (50.0) | 0.815 | |
| Banking and Finance | 147 (11.6) | 70 (47.6) | 77 (52.4) | ||
| Others | 96 (7.6) | 49 (51.0) | 47 (49.0) | ||
| < 3999 | 229 (18.4) | 111 (48.5) | 118 (51.5) | ||
| 4000–6999 | 397 (31.9) | 188 (47.4) | 209 (52.6) | 0.939 | |
| 7000–9999 | 314 (25.2) | 144 (45.9) | 170 (54.1) | ||
| ≥ 10,000 | 306 (24.6) | 146 (47.7) | 160 (52.3) | ||
| Height (cm) (mean ± SD) | 161.7 ± 8.8 | 161.5 ± 8.4 | 162.1 ± 9.0 | 0.240b | |
| Weight (kg)(mean ± SD) | 66.1 ± 14.7 | 66.2 ± 15.1 | 65.9 ± 14.4 | 0.652b | |
| BMI (mean ± SD) | 25.2 ± 5.1 | 25.3 ± 5.1 | 25.1 ± 5.1 | 0.162 b | |
| BMI category | |||||
| Underweight (< 18.5) | 61 (4.8) | 36 (59.0) | 25 (41.0) | ||
| Normal (18.6–25.0) | 647 (51.0) | 289 (44.7) | 358 (55.3) | 0.108 | |
| Overweight (25.01–29.99) | 385 (30.4) | 184 (47.8) | 201 (52.2) | ||
| Obese (≥30.0) | 175 (13.8) | 89 (50.9) | 86 (49.1) | ||
| IPAQ Level | |||||
| Low | 707 (55.8) | 327 (46.3) | 380 (53.7) | 0.426 | |
| Moderate | 537 (42.4) | 262 (48.8) | 275 (51.2) | ||
| High | 24 (1.9) | 9 (37.5) | 15 (62.5) | ||
*p < 0,05, *** p < 0.001
†Hosmer-Lemeshow test, chi square: 8.837, p-value: 0.265; Nagelkerke R square: 0.066
aNumber of participants responded to monthly salary is only 1246
bMann-Whitney test
Fig. 1Migraine-related disability (MIDAS) and migraine days per month among participants screened positive for migraine by ID-Migraine™ (N = 598)
Fig. 2Work Productivity and Activity Impairment (WPAI), and estimated monetary value due to presenteeism and absenteeism
Fig. 3Work Productivity and Activity Impairment (WPAI) outcomes and estimated monetary lost associated to migraine by migraine-related disability (MIDAS) and migraine days per month
Fig. 4Treatment seeking by migraine-related disability (MIDAS) and migraine days per month