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. 2025 Aug 22;30:790. doi: 10.1186/s40001-025-03069-2

Table 2.

Multivariate logistic regression analysis of PEF% predicted and headache

Variables Model 1 Model2 Model3
OR (95%CI) P-value OR (95%CI) P-value OR (95%CI) P-value
PEF% predicted 0.41(0.34, 0.51) < 0.001 0.64(0.51, 0.79) < 0.001 0.76 (0.60, 0.95) 0.018
PEF% predicted quartile
 Q1 (< 66.0%) 1 (Ref) 1 (Ref) 1 (Ref)
 Q2 (66.0%–84.1%) 0.84 (0.73, 0.97) 0.017 0.98 (0.84, 1.13) 0.766 1.01 (0.86, 1.18) 0.916
 Q3 (84.2%–101.5%) 0.67(0.58, 0.78) < 0.001 0.83 (0.71, 0.97) 0.020 0.90 (0.77, 1.07) 0.227
 Q4 (≥ 101.6%) 0.57 (0.49, 0.66) < 0.001 0.73 (0.62, 0.86) < 0.001 0.81 (0.68, 0.96) 0.016
 Trend.test 0.83 (0.79, 0.87) < 0.001 0.90 (0.85, 0.94) < 0.001 0.93 (0.88, 0.98) 0.009

Model 1 adjusted for age, gender

Model 2 adjusted for age, gender, education, residence, marital status, BMI, smoking status, drinking status, sleep duration, medicine

Model 3 adjusted for age, gender, education, residence, marital status, BMI, smoking status, drinking status, sleep duration, medicine, hypertension, diabetes heart attack, stroke, kidney disease, depression