The present study assessed age- and sex-specific patterns of migraine prevalence in a US population of 40,892 men, women, and children who participated in the 2003 National Health Interview Survey. Gaussian mixture models characterised the relationship between migraine, age, and sex. Migraine prevalence was 8.6% (males), 17.5% (females), and 13.2% (overall) and showed a bimodal distribution in both sexes (peaking in the late teens and 20s and around 50 years of age). Rate of change in migraine prevalence for both sexes increased the fastest from age 3 years to the mid-20s. Beyond the age of 10 years, females had a higher prevalence of migraine than males. The prevalence ratio for females versus males was highest during the female reproductive/child-bearing years, consistent with a relationship between menstruation and migraine. After age 42 years, the prevalence ratio was approximately 2-fold higher in women.

Logistic regression was used to evaluate the relationship between self-reported medical diagnosis of migraine, self-reported depressive symptomology (RDS) and self-reported anxious symptomology (RAS) in the National Health Interview Survey (n = 30 852). Semipartial squared correlations evaluated the population-level variability between RDS, RAS and migraine impairment. Migraine prevalence was 15.2% (overall), 20.5% (women) and 9.4% (men). Migraine risk was higher in participants with RAS [odds ratio (OR) 2.30, 95% confidence interval (CI) 2.09, 2.52), with RDS (OR 2.23, 95% CI 1.93, 2.58), who smoked (OR 1.19, 95% CI 1.09, 1.30), or who consulted a mental health provider (OR 1.45, 95% CI 1.27, 1.65). Although migraine risk was increased in both women (OR 1.93) and men (OR 2.42) with RAS (P < 0.001), men with RAS had a higher migraine risk than did women with RAS (P < 0.001). Only 7% of the variability in migraine impairment (population level) was predicted by variability in RDS and/or RAS.

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