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. Author manuscript; available in PMC: 2022 Nov 1.
Published in final edited form as: J Asthma. 2021 Oct 27;59(11):2127–2134. doi: 10.1080/02770903.2021.1993250

Table 4.

Multivariable analysis of urinary caffeine and caffeine metabolites and bronchodilator response.

Model 1
Model 2
Bronchodilator response (%) β, (95% confidence interval), P-value
Participants without current asthma (n = 155)
  Caffeine −0.49 (−2.76 to 1.78), 0.66 −1.16 (−3.09, 0.77), 0.23
  Paraxanthine −0.43 (−3.23, 2.37), 0.76 −1.08 (−2.53, 1.38), 0.38
  Theobromine 0.12 (−1.82, 2.05), 0.90 −0.60 (−2.66, 1.46), 0.56
  Theophylline −0.78 (−3.63, 2.07), 0.58 −1.70 (−4.11, 0.72), 0.16
Participants with current asthma (n = 23)
  Caffeine 5.16 (1.36, 8.95), <0.01 2.32 (−0.48, 5.12), 0.10
  Paraxanthine 5.38 (1.28, 9.48), 0.01 2.71 (−0.08, 5.49), 0.06
  Theobromine 3.41 (−0.71, 7.54), 0.10 2.45 (−0.73, 5.64), 0.13
  Theophylline 6.98 (2.28, 11.69), <0.01 3.32 (−0.18, 6.82), 0.06

Urinary levels of caffeine or its metabolites were first divided by the urinary creatinine level and then log10-transformed.

All models adjusted for age, sex, race and ethnicity, annual household income, body mass index, serum cotinine, pack-years of cigarette smoking, use of oral or inhaled steroids in the past 2 days, and time of the day when the samples were collected. Model 2 was additionally adjusted for pre-bronchodilator FEV1.