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Table 7 Table of regression coefficients for the relationship between exposure to NO2 in pregnancy and birth weight [16]. Main and stratified analysis of association between pregnancy exposure to NO2 and birth weight

From: Getting started with tables

 

Crude

Model 1a

Model 2b

Model 3+c

 

N

Beta 95% CI

p-value

N

Beta 95% CI

p-value

N

Beta 95% CI

p-value

N

Beta 95% CI

p-value

Main analysis

            

 Entire study population

17523

-37.9 (-49.7 to -26.0)

<0.001

16273

-43.6 (-55.8 to -31.5)

<0.001

16273

-5.6 (23.6 to 12.4)

0.54

15829

-7.4 (-19.6 to 4.8)

0.24

 Women who did not change address

15191

-37.4 (-50.2 to -24.7)

<0.001

14196

-42.7 (-55.7 to -29.6)

<0.001

14196

-7.0(-26.3 to 12.3)

0.48

13818

-4.7 (17.8 yo 8.4)

0.48

 LMP based GA only

16805

-35.4 (-47.5 to -23.2)

<0.001

15618

-408 (-53.3 to -28.4)

<0.001

15618

-3.2 (-21.6 to 15.1)

0.73

15195

-5.8 (-18.3 to 6.7)

0.36

Stratified analysis

            

 Oslo

4669

75 (-27.7 to 42.7)

0.68

4380

-5.9 (-42.8 to 31.0)

0.75

   

4285

12.5 (-24.3 to 49.3)

0.51

 Akerhus

7547

10.5 (-22.8 to 43.9)

0.54

6982

8.9 (-25.4 to 43.1)

0.61

   

6759

29.2 (-4.8 to 63.1)

0.09

 Bergen

3866

-15.6 (-43.7 to 12.4)

0.28

3577

-4.8 (-33.0 to 23.4)

0.74

   

3490

19.8 (-7.7 to 47.2)

0.16

 Hordaland

1441

-37.6 (-104.6 to 29.4)

0.27

1334

-36.0 (-103.5 to 31.5)

0.30

   

1295

-26.7 (-92.7 to 39.2)

0.43

 Not smoking

15440

-41.3 (-53.8 to -28.8)

<0.001

15229

-43.3 (-55.8 to -30.8)

<0.001

15229

-6.6 (-25.1 to 12.0)

0.49

14835

-5.6 (-18.2 to 6.9)

0.38

 Smoking

1083

-28.3 (-80.0 to 23.3)

0.28

1044

-45.5 (-97.7 to 6.8)

0.09

1044

22.1 (-51.8 to 96.1)

0.56

994

-27.3 (-80.1 to 25.5)

0.31

 Parity 0

8304

-16.8 (-33.3 to -0.4)

0.045

7803

-17.8 (-34.7 to -10)

0.04

7803

4.3 (-20.5 to 29.0)

0.74

7594

-8.3 (25.2 to 8.5)

0.33

 Parity 1

6326

-0.6 (-20.6 to 19.4)

0.95

5858

-6.9 (-27.4 to 13.5)

0.51

5858

21.8 (-8.2 to 51.8)

0.15

5695

2.0(-18.3 to 22.4)

0.85

 Parity ≥2

2893

-26.5 (-60.3 to 7.4)

0.13

2612

-31.0 (-66.4 to 4.4)

0.09

2612

17.8 (-31.7 to 67.4)

0.48

2540

-24.8 (-59.9 to 10.4)

0.17

 Boys

8921

-30.7 (-47.5 to -13.8)

<0.001

8290

-39.6 (-57.0 to -22.2)

<0.001

<8290

-7.5 (-33.0 to 18.1)

0.57

8040

-5.4 (-22.8 to 12.1)

0.55

 Girls

8602

-45.5 (-62. 0 to -29.1)

<0.001

7983

-47.8 (-64.8 to -30.8)

<0.001

7983

-3.6 (-28.9 to 21.8)

0.78

7789

-9.4(-26.4 to 7.6)

0.28

 Education less than high school

985

-35.4 (-95.3 to 24.5)

0.25

968

-24.5 (-83.4 to 34.5)

0.42

968

-18.4 (-96 to 60.0)

0.65

905

-27.8 (-87.2 to 31.5)

0.36

 Education high school

4173

-31.9 (-58.5 to 5.3)

0.02

4098

-36.0 (-62.3 to 9.7)

0.007

4098

10.4 (27.3 to 48.1)

0.59

3948

4.8 (-21.7 to 31.3)

0.72

 Education up to 4 years of college

6474

-41.4 (-61.5 to -23.3)

<0.001

6403

-44.0 (-62.8 to -25.3)

<0.001

6403

-1.5 (-30.2 to 27.1)

092

6262

-4.9 (-23.7 to 13.9)

0.61

 Educatiom more than 4 years of college (master of professional degree)

4866

-48.2 (-69.6 to 26.9)

<0.001

4804

-50.2 (-71.4 to -29.0)

<01001

4804

-17.8 (-49.4 to 13.8)

0.27

4714

-13.3 (-34.5 to 8.0)

0.22

 Born in winter

4097

-20.2 (-46.6 to 6.2)

0.13

3797

-35.3 (-62.5 to 8.2)

0.01

3797

7.8 (-31.1 to 46.7)

0.69

3677

4.9 (-22.4 to 32.1)

0.73

 Born in winter

4097

-20.2 (-46.6 to 6.2)

0.13

3797

-35.5 (-62.5 to -8.2)

0.01

3797

7.8 (-31.1 to 46.7)

0.69

3677

4.9 (-22.4 to 32.1)

0.73

 Born in spring

4684

-60.6 (-82.2 to -39.0)

<0.001

4355

-60.2 (-82.2 to -38.3)

<0.001

4355

-46.7 ((79.5 to -13.8)

0.005

4226

-28.5(-50.6 to -6.4)

0.01

 Born in summer

4626

-35.1 (-57.4 to -12.8)

0.002

4272

-40.5 (-63.3 to -17.6)

0.001

4272

14.2 (-20.7 to 49.1)

0.43

4167

-2.7 (-25.7 to 20.3)

0.82

 Born in autumn

4116

-28.8 (-54.9 to -2.7)

0.03

3849

-31.9 (-58.6 to -5.3)

0.03

3849

16.1 (-23.0 to 55.1)

0.42

3759

5.1 (-21.4 to 31.7)

0.70

  1. Effect estimate in grams per 10μg/m3 NO2
  2. GA gestational age, LMP last menstrual period
  3. aModel 1 adjusted for: maternal education, birth season, sex of child, maternal age, maternal marital status, maternal smoking during pregnancy, maternal height
  4. bModel 2 adjusted for: maternal education, birth season, sex of child, maternal age, maternal marital status, maternal smoking during pregnancy, maternal height, area
  5. cModel 3 adjusted for: maternal education, birth season, sex of child, maternal age, maternal marital status, maternal smoking during pregnancy, maternal height, parity, maternal weight, in stratified analysis the corresponding stratification variable is not included in the adjusment