For the purposes of analyses, headache

frequency was categorized as days per month within the following categories: <1 per month, 1-4 month, 5-9 per month, and ≥10 per month. Analyses were conducted using SAS Version 9 (Copyright © 2002-2008 SAS Institute Inc., Cary, NC, USA). Nonresponse bias was examined contrasting differential response rates across demographic strata on: sex, age, race, region of the country, population density of geographic location, annual household income, and household size (ie, number EPZ-6438 nmr of members in the household) using descriptive statistics. Data were reported for those with and without “severe” headache. Sex-specific prevalence for those with “severe” headache was divided by headache type, and sex-specific prevalence rates within each headache type were calculated by age, race, and annual household income. Log-binomial models were used to calculate adjusted sex-stratified PRs by headache type for sociodemographic variables. These models estimated PRs and 95% confidence intervals (CIs)

for each individual sociodemographic variable adjusted for all other sociodemographic variables. Adjusted PRs were obtained from adjusted log-binomial models, which were also used to determine female to male adjusted PRs for each headache type stratified on the 5 sociodemographic AZD2014 research buy categories (adjusting for all other sociodemographic variables). Within each headache type, unadjusted sex-specific prevalence and PRs were calculated for the effects of headache symptoms, headache frequency (days per month), average headache pain intensity, headache-related disability and impairment, headache diagnoses assigned by an HCP, emergency department/urgent care clinic use, and medication use (acute and preventive for headache MCE公司 and other conditions). Log-binomial models were used to estimate sex PRs and 95% CIs. Data on headache impact, headache-related disability, healthcare resource utilization, and medication use were reported as the percentage of the sample who responded (participants

with missing data were not included in the denominator for the items for which they did not respond). One hundred twenty thousand households, containing a total of 257,339 household members, were contacted to participate in the AMPP Study survey. Surveys were returned by 77,879 households (64.9% response rate) yielding data for 162,756 individual household members aged ≥12 years old (Table 1). Respondents were primarily female (52.6%, N = 85,571) and Caucasian (86.6%, N = 140,948). Response rates did not differ substantially between males (62%) and females (64%), but were higher in Caucasians (65%) than in African Americans (56%, P < .01) and in those aged ≥50 years old (P < .01). Response rates did not differ significantly by geographic region, population density, or annual household income.