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Table 4 Association between paternal factors and SGA by multiple logistic regression analysis

From: Paternal factors and adverse birth outcomes in Lanzhou, China

Paternal factors

AGA (N = 7922) (%)

SGA (N = 785) (%)

OR (95%CI)a

OR (95%CI)b

Age

  < 25

628 (7.9%)

101 (12.9%)

ref.

ref.

 25 to < 30

2799 (35.3%)

264 (33.6%)

0.75 (0.56,0.99)

0.79 (0.60,1.06)

 30 to < 35

3009 (38.0%)

257 (32.7%)

0.69 (0.51,0.94)

0.75 (0.55,1.02)

  ≥ 35

1486 (18.8%)

163 (20.8%)

0.74 (0.52,1.06)

0.80 (0.56,1.15)

 p for trend

  

0.061

0.133

Ethnicity

 Han

7284 (92.0%)

704 (89.7%)

ref.

ref.

 Others

638 (8.1%)

81 (10.3%)

1.00 (0.68,1.48)

1.00 (0.67,1.49)

Education years (%)

 Less than high school graduation

1505 (19.0%)

266 (33.9%)

ref.

ref.

 high school and community college

3142 (39.7%)

289 (36.8%)

0.65 (0.52,0.81)

0.68 (0.54,0.86)

 higher than college

3275 (41.3%)

230 (29.3%)

0.58 (0.43,0.77)

0.61 (0.50,0.82)

Height (m)

  < 1.71

2448 (30.9%)

299 (38.1%)

ref.

ref.

 1.71–1.74

2007 (25.3%)

199 (25.4%)

0.87 (0.72,1.05)

0.87 (0.71,1.06)

  ≥ 1.75

3467 (43.8%)

287 (36.6%)

0.77 (0.64,0.91)

0.77 (0.64,0.92)

 p for trend

  

0.009

0.017

Weight (kg)

  < 67.0

2545 (32.1%)

322 (41.0%)

ref.

ref.

 67–74.9

2205 (27.8%)

213 (27.1%)

0.82 (0.68,0.996)

0.88 (0.72,109)

  ≥ 75

3172 (40.0%)

250 (31.9%)

0.73 (0.61,0.87)

0.80 (0.60,1.06)

 p for trend

  

< 0.001

0.014

BMI (kg/m2)

  < 18.5

247 (3.1%)

40 (5.1%)

1.38 (0.96,1.97)

1.38 (0.96,1.97)

 18.5–23.9

4015 (50.7%)

444 (56.6%)

ref.

ref.

  ≥ 24

3660 (46.2%)

301 (38.3%)

0.82 (0.70,0.96)

0.83 (0.70,0.97)

 p for trend

  

0.001

0.001

Smoking cigarettes per day

 No

4097 (51.7%)

378 (48.2%)

ref.

ref.

 ever smoker

630 (8.0%)

63 (8.0%)

0.95 (0.71,1.27)

0.95 (0.71,1.27)

 current smoker

3195 (40.3%)

344 (43.8%)

0.99 (0.83,1.17)

0.98 (0.82,1.17)

  ≤ 3 pack-years

1408 (17.8%)

137 (17.5%)

0.91 (0.74,1.13)

0.91 (0.73,1.13)

 4–6 pack-years

1382 (17.5%)

147 (18.7%)

0.99 (0.80,1.23)

0.98 (0.79,1.22)

  > 6 pack-years

1035 (13.1%)

123 (15.7%)

1.07 (0.85,1.35)

1.06 (0.84,1.35)

 p for trend

  

0.702

0.737

Drinking per year

 No

6128 (77.4%)

610 (77.7%)

ref.

ref.

 ever drinker

1300 (16.4%)

142 (18.1%)

1.10 (0.90,1.34)

1.11 (0.91,1.36)

 current drinker

494 (6.2%)

33 (4.2%)

0.69 (0.47,0.995)

0.69 (0.47,0.992)

  ≤ 180 times

583 (7.4%)

57 (7.3%)

1.00 (0.75,1.34)

1.02 (0.76,1.37)

 181–440 times

585 (7.38%)

63 (8.03%)

1.08 (0.82,1.43)

1.08 (0.81,1.43)

  > 440 times

626 (7.9%)

55 (7.0%)

0.88 (0.65,1.12)

0.88 (0.66,1.19)

 p for trend

  

0.456

0.464

 Only red wine

670 (8.5%)

610 (77.7%)

0.97 (0.74,1.29)

0.99 (0.75,1.31)

 Only white liquor

380 (4.8%)

64 (8.2%)

0.83 (0.57,1.21)

0.83 (0.56,1.21)

 Only beer

14 (0.2%)

32 (4.1%)

0.54 (0.07,4.28)

0.60 (0.08,4.87)

 Red wine+ white liquor

663 (8.4%)

1 (0.1%)

1.10 (0.85,1.44)

1.11 (0.85,1.44)

 White liquor + beer

26 (0.3%)

71 (9.0%)

0.71 (0.16,3.12)

0.74 (0.17,3.25)

 Red wine+beer

18 (0.2%)

2 (0.3%)

1.01 (0.22,4.57)

0.93 (0.20,4.31)

 Red wine+beer+ white liquor

23 (0.3%)

3 (0.4%)

1.16 (0.34,3.95)

1.14 (0.33,3.97)

  1. a Adjusted for maternal factors including maternal age, educational attainment, employment status, pre-pregnancy BMI, parity, hypertensive disorders during pregnancy, maternal smoking and family’s average monthly income
  2. b Adjusted for above maternal factors and paternal factors other than the investigated variable