Sociodemographic profiles of chronic and episodic migraineurs*
| Variables | Chronic migraine | Episodic migraine | p Value |
| Mean (SD) | Mean (SD) | ||
| Age | 47.7 (14.0) | 46.0 (13.8) | 0.03 |
| BMI | 29.8 (8.3) | 29.2 (7.9) | 0.06 |
| N(%) | N(%) | p Value | ||
| Gender | Female | 515 (78.6) | 8469 (80.0) | 0.46 |
| Race | Caucasian | 594 (90.7) | 9263 (87.3) | 0.01 |
| African–American | 26 (4.0) | 759 (7.2) | ||
| Other/no answer | 35 (5.3) | 587 (5.5) | ||
| Highest level of education† | Eight grades or less | 14 (2.3) | 122 (1.1) | 0.35 |
| Some HS | 28 (4.3) | 506 (4.6) | ||
| HS graduate or GED | 163 (25.3) | 2672 (24.0) | ||
| Some college or technical school | 264 (40.8) | 4309 (38.7) | ||
| College graduate | 124 (19.8) | 2281 (20.5) | ||
| Graduate degree | 54 (8.4) | 1252 (11.2) | ||
| Household income‡ | <$22500 (Reference) | 196 (29.9) | 2798 (24.9) | 0.02 |
| $22500–$39999 | 140 (21.4) | 2249 (20.0) | ||
| $40000–$59999 | 106 (16.2) | 2120 (18.9) | ||
| $60000–$89999 | 121 (18.5) | 2078 (18.5) | ||
| $90000+ | 92 (14.1) | 2004 (17.8) | ||
| Employment status‡ | Employed full time | 242 (37.8) | 5772 (52.3) | <0.001 |
| Employed part time | 72 (11.3) | 1435 (13.1) | 0.26 | |
| Unemployed | 48 (7.5) | 811 (7.4) | 0.76 | |
| Retired | 95 (14.8) | 1385 (12.6) | 0.54 | |
| Student | 20 (3.1) | 414 (3.8) | 0.63 | |
| Home-maker | 124 (19.4) | 1781(16.14) | 0.04 | |
| Disabled | 128 (20.0) | 1225(11.10) | <0.001 | |
| Volunteer | 20 (3.1) | 253(2.29) | 0.25 | |
| Insured‡ | Yes | 491 (93.7) | 8339 (93.0) | 0.24 |
| No (reference) | 33 (6.3) | 628 (7.0) | ||
| Marital Status‡ | Single | 126 (19.4) | 2286 (20.6) | 0.04 |
| Married | 384 (59.3) | 6763 (60.8) | ||
| Divorced | 112 (17.3) | 1502 (13.5) | ||
| Widowed | 26 (4.0) | 571 (5.1) | ||
↵* Ns vary as a function of response/non-response (missing data) to each individual item.
↵† Statistical test used was ordered logistic regression, in which OR indicates how contrasted groups differ in the probability of the higher response category.
↵‡ Effects of income were adjusted for age and gender, while the effects of education, employment, insurance and marital statuses were adjusted for age, gender and income.
§ Numbers may sum to more than 100% because respondents were instructed to endorse all response options that applied to them.