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Table 4 Characteristics according to quintile categories in each dietary pattern

From: Relationship between dietary patterns and risk factors for cardiovascular disease in patients with type 2 diabetes mellitus: a cross-sectional study

Variable

Meat, fats and oils, seasonings and eggs

Fruit, dairy products and sweets

Rice and miso soups

Quintile 1

Quintile 5

Model 1

Quintile 1

Quintile 5

Model 1

Quintile 1

Quintile 5

Model 1

Age (years)

60.6 ± 6.7

54.9 ± 8.9

-

56.6 ± 9.1

58.7 ± 8.2

-

57.5 ± 8.8

58.3 ± 8.6

-

Gender (male)

104 (55.3)

132 (72.9)

-

134 (82.7)

109(55.9)

-

106 (55.5)

137 (76.5)

-

Body mass index (kg/m2)

24.3 ± 3.9

25.3 ± 4.5

−0.11

24.4 ± 3.8

24.6 ± 4.2

1.20

25.2 ± 4.3

24.4 ± 3.8

−1.80

Estimated duration of diabetes (years)

10.0 ± 7.4

9.5 ± 6.5

0.47

9.4 ± 7.0

10.2 ± 7.8

0.76

9.5 ± 6.7

10.2 ± 7.0

0.83

MEQ

58.9 ± 7.4

56.5 ± 7.4

−2.14*

58.6 ± 7.8

56.3 ± 7.2

−3.36***

57.1 ± 7.9

56.9 ± 7.5

−0.91

PSQI

4.5 ± 2.6

5.3 ± 3.1

2.00*

5.1 ± 3.0

5.2 ± 3.1

0.02

5.2 ± 2.9

5.0 ± 2.4

−0.06

BDI-II

9.6 ± 8.1

10.0 ± 6.8

0.65

9.7 ± 7.1

10.6 ± 8.6

1.24

10.3 ± 7.9

10.4 ± 8.5

0.98

Energy intake (kcal/day)

1440 ± 479

2118 ± 651

12.94***

1781 ± 618

1909 ± 626

4.14***

1418 ± 456

2047 ± 568

11.01***

Current smoker (%)

39 (20.7)

50 (27.6)

−0.03

55 (34.0)

32 (16.4)

−2.54*

46 (24.1)

42 (23.5)

−1.00

Physical activity (kcal/day)

39.3 ± 65.3

39.1 ± 73.5

0.13

46.4 ± 78.9

45.5 ± 80.7

−0.45

41.3 ± 62.8

47.8 ± 84.4

1.08

Worker (yes)

128 (68.1)

150(82.9)

0.11

134 (82.7)

128 (65.6)

−2.51*

131 (68.6)

138 (77.1)

1.91

Sleep duration (hours)

6.7 ± 1.2

6.3 ± 1.2

−1.88

6.5 ± 1.3

6.5 ± 1.1

−0.02

6.5 ± 1.1

6.4 ± 1.2

−0.55

Diabetes medication (yes)

164(87.2)

151 (83.4)

−0.58

140 (86.4)

164 (84.1)

−1.12

167 (87.4)

153 (85.5)

−0.80

Hypertension medication (yes)

92 (48.9)

82 (45.3)

−0.75

95 (58.6)

82 (42.1)

−2.86**

94 (49.2)

95 (53.1)

0.01

Hyperlipidemia medication (yes)

122(64.9)

99 (54.7)

−0.35

78 (48.1)

131 (67.2)

2.86**

118 (61.8)

95 (53.1)

−1.14

  1. Data are mean ± SD, median [range: 25 % to 75 %] or number of subjects (percentages) before adjustment. *P < 0.05, **P < 0.01, ***P < 0.001
  2. Model 1: Trend estimation for linear trends across quintiles is based on linear regression analysis for continuous variables or logistic regression analysis for categorical variables adjusted for age and gender. Standardized regression coefficients are shown. See Table 3 for abbreviations