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. 2024 Nov 21;19(11):e0312838. doi: 10.1371/journal.pone.0312838

Table 3. Multivariate logistic regression analysis of dietary niacin for risk of COPD.

Variable n. event (%) Crude model Model 1 Model 2 Model 3
OR (95%CI) p OR (95%CI) p OR (95%CI) p OR (95%CI) p
Quartile
Q1 (≤16.08) 254 (14.2) 1(Ref) 1(Ref) 1(Ref) 1(Ref)
Q2(16.09–21.84) 221 (12.3) 0.85 (0.7~1.03) 0.106 0.85 (0.7~1.03) 0.102 0.97 (0.78~1.19) 0.742 0.96 (0.77~1.19) 0.706
Q3(21.85–28.97) 189 (10.5) 0.71(0.58~0.8) 0.001 0.73 (0.59~0.9) 0.003 0.79 (0.63~0.99) 0.041 0.78 (0.62~0.99) 0.038
Q4 (≥28.98) 170 (9.5) 0.63(0.52~0.7) <0.001 0.72 (0.57~0.9) 0.004 0.76 (0.58~1.00) 0.05 0.76 (0.57~1.00) 0.047
P for trend <0.001 0.001 0.018 0.017

Abbreviations: COPD, chronic obstructive pulmonary disease; Q, quartiles; OR, odds ratio; CI, confidence interval; Ref: reference.

The crude model was not adjusted for covariates.

Model I was adjusted for sex, age, race/ethnicity.

Model2 was adjusted for sex, age, race/ethnicity, family income, physical activity, smoking status, education level, marital status, body mass index, serum cotinine, total energy.

Model 3 was adjusted for sex, age, race/ethnicity, family income, physical activity, smoking status, education level, marital status, body mass index, serum cotinine, total energy, hypertension, high cholesterol, diabetes, coronary heart disease, stroke, cancer.