ArticleThe journal of headache and pain2025
The association between social factors and migraine or severe headache in men: a secondary analysis of national population-based studies with machine learning models.
Article in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundMigraine is recognized as a global public health issue. It is more prevalent among women; therefore, studies focusing solely on migraine in men are scarce. We aimed to investigate the relationship between social factors and migraine or severe headache in men, based on a Chinese national population study and the National Health and Nutrition Examination Survey (NHANES).
methodIn 2009, we conducted a population-based survey on headaches, for which 5,041 unrelated individuals were randomly selected and visited in all regions of China. A secondary analysis was performed on the data pertaining to men. Data retrieved from the NHANES between 1999 and 2004 were analyzed alongside the same social factors. Logistic regression was used to analyze the factors affecting men. We compared the predictive performance of six machine learning models: XGBoost, Random Forest, Decision Tree, Logistic Regression, Support Vector Machine, and K-Nearest Neighbors.
resultsOf 2,496 male Chinese participants, 236 (9.5%) were diagnosed with migraine or severe headache. According to the NHANES data, 714 (16.6%) of 4,303 male participants reported migraine or severe headache. Logistic regression of the two studies consistently revealed a positive association between obesity and migraine or severe headache (Chinese participants: odds ratio [OR] = 2.017, p = 0.020; NHANES sample: OR = 1.256, p = 0.038) as well as a negative correlation between increased income and the same condition. Occupation was related to migraine or severe headache in the Chinese population, and races were associated with headaches in the NHANES data. The five-fold cross-validation results demonstrated that the logistic regression model was the most stable and generalizable classifier. The SHAP analysis clarifies that significant differences existed in the contribution of individual factors to migraine or severe headache between the two studies.
conclusionObesity and high income were found to be associated with migraine or severe headache in men. Given the discrepancies observed between the two studies, further exploration of these factors across different countries may be warranted.
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