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Table 3 Linear regression coefficients between tea drinking and SUA levels in the follow-up period

From: Tea consumption and serum uric acid levels among older adults in three large-scale population-based studies in China

  Model 1 Model 2 Model 3
β
(95% CI)
P value β
(95% CI)
P value β
(95% CI)
P value
WGDS
Tea drinking status (Yes/No) −0.98 (−5.66, 3.69) 0.68 −1.36 (−6.12, 3.40) 0.58 −1.47 (−6.23, 3.29) 0.55
Frequency (≥6/< 6) −0.46 (−2.90, 1.98) 0.71 −0.66 (−3.14, 1.83) 0.60 − 0.72 (− 3.21, 1.76) 0.57
Tea type (green tea/other) −2.49 (−7.31, 2.32) 0.31 −2.91 (−7.80, 1.99) 0.25 −3.01 (−7.90, 1.89) 0.23
CLHLS
Tea drinking status (Yes/No) −7.51 (−21.01, 5.99) 0.28 −6.78 (−20.44, 6.88) 0.33 −6.27 (− 20.06, 7.51) 0.37
Frequency (≥6/< 6) −9.67 (− 25.14, 5.80) 0.22 −8.78 (− 20.43, 6.86) 0.27 −8.50 (− 24.26, 7.27) 0.29
  1. CI confidence interval, WGDS Weitang Geriatric Diseases Study, CHNS China Health and Nutrition Survey, CLHLS Chinese Longitudinal Healthy Longevity Survey
  2. Model 1, adjusted for age, sex
  3. Model 2, adjusted for age, sex, education level (primary education and below vs. secondary schooling and above), smoking status (Yes and No), and alcohol drinking status (Yes and No)
  4. Model 3, adjusted for covariates in model 2 and baseline characteristics of body mass index (BMI), history of diabetes (presence vs. absence), hypertension (presence vs. absence), and fasting plasma glucose