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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: Nutr Metab Cardiovasc Dis. 2012 Apr 24;23(6):528–535. doi: 10.1016/j.numecd.2011.12.005

TABLE 3.

Demographic and Lifestyle Variables by Quintile of Dietary Pattern

Dietary Pattern Female n (%) Age (y) BMI (kg/m2) Waist circumference (cm) Education (y) Current smoker n (%)
Western
Q1 433(23) 53(16) 32(7) 106(16) 11.8(2.6) 192(18)
Q3 382(20) 37(16) 32(8) 104(19) 11.9(2.3) 207(19)
Q5 316(17) 31(12) 31(8) 103(20) 11.7(2.3) 229(21)
P-value <0.001 <0.001 0.01 <0.001 0.06 0.78
Traditional
Q1 437(23) 38(18) 30(7) 98(17) 12.2(2.4) 193(18)
Q3 377(20) 41(18) 33(8) 106(18) 12.0(2.4) 201(19)
Q5 296(16) 38(14) 35(9) 110(19) 11.2(2.0) 241(23)
P-value <0.001 0.69 <0.001 <0.001 <0.001 0.001
Healthy
Q1 347(18) 35(12) 33(8) 105(19) 11.5(2.0) 285(27)
Q3 397(21) 40(17) 32(7) 104(17) 11.9(2.5) 200(19)
Q5 369(19) 43(19) 32(8) 103(18) 12.0(2.4) 177(17)
P-value 0.008 <0.001 0.01 0.07 <0.001 <0.001
Unhealthy
Q1 384(20) 32(14) 32(8) 102(19) 11.8(2.2) 175(16)
Q3 394(21) 41(17) 33(8) 107(18) 12.1(2.3) 165(15)
Q5 344(18) 43(16) 32(8) 104(18) 11.7(2.4) 295(28)
P-value <0.001 <0.001 0.50 0.02 0.32 <0.001

Note: Unadjusted distributions of the means (SD) for continuous variables and the number of observations (%) for categorical variables are presented for the first, third, and fifth quintiles of the dietary pattern scores. A chi-square test was used for categorical variables. A nonparametric trend test (nptrend command in Stata) was used for continuous variables.