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Table 1 Clinical characteristics

From: Current smoking status may be associated with overt albuminuria in female patients with type 1 diabetes mellitus: a cross-sectional study

Current smoking

Male

Female

    
 

-

+

-

+

P 1

P 2

P 3

P 4

Total number (%)

43 (47.8)

47 (52.2)

146 (86.4)

23 (13.6)

-

-

-

-

Age (years)

53.2 ± 16.9

49.4 ± 12.6

51.3 ± 18.3

45.5 ± 12.6

0.54

0.24

0.23

0.15

Body mass index (kg/m2)

22.4 ± 2.8

22.7 ± 3.4

22.6 ± 3.9

21.8 ± 4.1

0.76

0.32

0.62

0.36

Systolic blood pressure (mmHg)

127.4 ± 24.0

132.3 ± 21.7

125.7 ± 18.8

123.4 ± 14.6

0.62

0.08

0.31

0.58

Diastolic blood pressure (mmHg)

70.8 ± 11.3

74.5 ± 14.6

71.2 ± 12.4

74.3 ± 10.2

0.83

0.94

0.18

0.26

HbA1c (%)

8.4 ± 2.0

8.3 ± 1.7

8.3 ± 2.0

8.7 ± 2.2

0.66

0.34

0.73

0.30

Total cholesterol (mg/dL)

189.7 ± 32.1

187.5 ± 41.4

199.1 ± 37.5

197.3 ± 35.9

0.14

0.34

0.78

0.84

Triglyceride (mg/dL)

96.9 ± 60.2

116.2 ± 81.9

94.7 ± 91.3

98.0 ± 58.5

0.88

0.34

0.21

0.87

HDL-cholesterol (mg/dL)

68.2 ± 18.1

67.2 ± 22.1

75.9 ± 19.1

74.3 ± 13.2

0.02

0.16

0.82

0.70

Complication, n (%)

        

 Retinopathy

24 (55.8)

26 (55.3)

64 (43.8)

11 (47.8)

0.17

0.56

0.96

0.72

 Neuropathy

28 (65.1)

28 (59.6)

86 (58.9)

15 (65.2)

0.46

0.65

0.59

0.57

 Nephropathy

        

 Normoalbuminuria

25 (58.1)

25 (53.2)

96 (65.8)

14 (60.9)

0.36

0.54

0.64

0.65

 Microalbuminuria

9 (20.9)

9 (19.1)

36 (24.7)

2 (8.7)

0.61

0.26

0.83

0.09

 Overt albuminuria

9 (20.9)

13 (27.7)

14 (9.6)

7 (30.4)

0.04

0.81

0.46

< 0.01

  1. Data are presented as the number or mean ± S.D. HbA1c: hemoglobin A1c. HDL: high-density lipoprotein. P1: comparisons of respective variables between genders in nonsmokers, P2: comparisons of respective variables between genders in current smokers, P3: comparisons of respective variables between nonsmokers and current smokers in males, P4: comparisons of respective variables between nonsmokers and current smokers in females (using unpaired t-tests and Chi-square tests).