AIMS: To validate the Chinese version of the Identification of Migraine screener (ID-Migraine), assess migraine prevalence, identify potential associated factors, and assess the impact of migraine on quality of life in a community in Harbin, PR China. METHODS: A community-based, cross-sectional study was conducted in the Songbei district of Harbin. After excluding the people who did not usually reside in the community, 2,588 adults were invited to participate in the study. Eligible participants underwent a physical examination before completing a questionnaire addressing demographics, medical history, and other features. Additionally, the ID-Migraine was validated by using International Classification of Headache Disorders-3 criteria, with 94 participants screening positive and 100 participants screening negative for migraine as diagnosed through a telephone interview. The diagnostic accuracy of ID-Migraine was evaluated by sensitivity and specificity, and a multivariate logistic regression model was used to determine the association between migraine and associated factors. RESULTS: A total of 1,143 subjects completed the questionnaire (response rate 44.2%). The prevalence of migraine was 8.9%, with a male to female prevalence ratio of 1:3.30 (3.7% versus 12.2%; P < .001). The sensitivity (90.6%; 95% confidence interval [CI] = 75.0% to 97.9%) and specificity (71.4%; 95% CI = 60.0% to 81.2%) of the ID-Migraine were satisfactory. Multivariate logistic regression analyses suggested female sex, depression, coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD), ischemic stroke (IS), and hypertension were positively associated with migraine, whereas age and education level were negatively associated with migraine. Migraine was shown to significantly impact quality of life. CONCLUSION: Migraine is a highly prevalent disease that can significantly affect quality of life. Age, sex, education level, depression, CHD, COPD, IS, and hypertension were all associated with migraine.
AIMS: To validate the Chinese version of the Identification of Migraine screener (ID-Migraine), assess migraine prevalence, identify potential associated factors, and assess the impact of migraine on quality of life in a community in Harbin, PR China. METHODS: A community-based, cross-sectional study was conducted in the Songbei district of Harbin. After excluding the people who did not usually reside in the community, 2,588 adults were invited to participate in the study. Eligible participants underwent a physical examination before completing a questionnaire addressing demographics, medical history, and other features. Additionally, the ID-Migraine was validated by using International Classification of Headache Disorders-3 criteria, with 94 participants screening positive and 100 participants screening negative for migraine as diagnosed through a telephone interview. The diagnostic accuracy of ID-Migraine was evaluated by sensitivity and specificity, and a multivariate logistic regression model was used to determine the association between migraine and associated factors. RESULTS: A total of 1,143 subjects completed the questionnaire (response rate 44.2%). The prevalence of migraine was 8.9%, with a male to female prevalence ratio of 1:3.30 (3.7% versus 12.2%; P < .001). The sensitivity (90.6%; 95% confidence interval [CI] = 75.0% to 97.9%) and specificity (71.4%; 95% CI = 60.0% to 81.2%) of the ID-Migraine were satisfactory. Multivariate logistic regression analyses suggested female sex, depression, coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD), ischemic stroke (IS), and hypertension were positively associated with migraine, whereas age and education level were negatively associated with migraine. Migraine was shown to significantly impact quality of life. CONCLUSION:Migraine is a highly prevalent disease that can significantly affect quality of life. Age, sex, education level, depression, CHD, COPD, IS, and hypertension were all associated with migraine.
Authors: Ana López-de-Andrés; José Luis Del Barrio; Valentín Hernández-Barrera; Javier de Miguel-Díez; Isabel Jimenez-Trujillo; María Angeles Martinez-Huedo; Rodrigo Jimenez-García Journal: Diabetes Metab Syndr Obes Date: 2018-07-20 Impact factor: 3.168