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Table 4 Participant characteristics according to tertiles of dietary pattern score (n = 251)

From: Associations between dietary patterns and blood pressure in a sample of Australian adults

 Dietary Pattern 1Dietary Pattern 2Dietary Pattern 3
Tertile 1Tertile 2Tertile 3P- trend1Tertile 1Tertile 2Tertile 3Ptrend1Tertile 1Tertile 2Tertile 3Ptrend1
Dietary Pattern Score2−0.78 (−2.3 to − 0.37)−0.12 (− 0.36 to 0.15)0.91 (0.16 to 4.0) −0.90 (− 2.8 to − 0.36)−0.06 (− 0.35 to 0.31)0.96 (0.32 to 2.84) −0.89 (− 2.9 to − 0.39)−0.76 (− 0.39 to 0.28)0.97 (0.29 to 3.85) 
Age (y)56.2 (54.3, 58.2)54.6 (52.7, 56.6)54.4 (52.4, 56.3)0.34557.6 (55.6, 59.5)55.1 (53.1, 57.0)52.6 (50.7, 54.5)0.00353.6 (51.6, 55.5)56.7 (54.8, 58.7)55.0 (53.0, 56.9)0.080
BMI (kg/m2)28.6 (27.8, 29.4)29.9 (29.1, 30.7)30.1 (29.3, 30.9)0.02229.8 (29.0, 30.6)29.8 (29.0, 30.7)29.0 (28.1, 29.8)0.21429.7 (28.8, 30.5)29.8 (29.0, 30.6)29.1 (28.3, 30.0)0.496
% Male23.841.768.7<  0.00139.336.158.30.01645.234.953.60.314
% Taking AHT33.332.150.60.02640.534.940.51.00044.036.135.70.304
% Physically active*21.726.228.90.32928.619.328.91.00026.526.523.80.724
% Current smoker*0.03.67.30.0114.82.43.60.8386.04.80.00.059
% Education – High school or lower34.535.731.30.68435.728.936.90.93534.538.628.60.464
  1. Significant data are in bold
  2. 1 Difference in proportions computed by Chi-square analysis (categorical variables) or linear trends computed by analysis of variance (continuous variables) across tertiles 2Mean (range) dietary pattern score
  3. *n = 250
  4. All other data are mean (95% CI) or percentage of participants,
  5. Abbreviations: BMI body mass index; AHT anti-hypertensive medication