Table 1

Baseline characteristics of the study participants according to tea consumption

 Men (n=199 293)Women (n=288 082)
NeverLess than dailyDaily (g/day)NeverLess than dailyDaily (g/day)
Participants (n)38 36078 46626 65412 66119 60223 550131 974110 29522 548951077436012
Age (year)53.950.153.453.052.451.251.748.951.051.250.649.9
Rural area (%)60.356.263.967.252.248.457.052.866.784.045.049.4
Married (%)91.693.292.793.393.994.188.989.790.790.390.390.8
Middle school and higher (%)
Current smoker (%)49.858.167.569.972.
Weekly alcohol drinking (%)22.832.039.340.342.742.
Physical activity (MET hour/day)22.923.122.022.521.821.821.
Body mass index (kg/m2)*23.123.423.423.423.623.623.523.924.124.124.324.6
Average weekly consumption†
 Red meat (day)
 Fresh vegetables (day)
 Fresh fruits (day)
Diabetes (%)
Hypertension (%)34.735.336.237.337.937.131.731.834.233.635.335.5
Family history of heart attack (%)
Postmenopausal (%)51.250.550.350.049.749.6
Characteristics of daily tea consumer
 Age of starting tea consumption (year)28.628.127.426.027.026.925.824.6
Years of tea consumption (year)23.924.325.126.523.823.925.126.3
 Green tea consumer (%)82.782.482.482.391.691.292.091.5
  • All variables were adjusted for age and survey regions, as appropriate. All exposures were associated with tea consumption, with p<0.001 for trend across categories, except for diabetes (men: p=0.004; women: p=0.003), and green tea consumer in women (p=0.309). Tests for linear trend were only conducted in daily consumers by modelling the amount of tea consumption (in g/day) as a variable in regression models.

  • *Body mass index was defined as the bodyweight divided by the square of the height.

  • †Average weekly consumptions of red meat, fresh vegetables and fruits were calculated by assigning participants to the midpoint of their consumption category.

  • MET, metabolic equivalent task.