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Table 3 The association of mothers’ prenatal tobacco smoke exposure and the prevalence of low birth weight (birth weight less than 2500 g) of children in a rural area of Shanghai in the year of 2018, China

From: Low birthweight of children is positively associated with mother’s prenatal tobacco smoke exposure in Shanghai: a cross-sectional study

Variables

Low Birth Weight (LBW)

LR(a)

LR(b)

LR(c)

Yes

n (%)

No

n (%)

OR

OR 95%CI

OR

OR 95%CI

OR

OR 95%CI

Prenatal exposure to FHS

 Yes

10 (12.35)

71 (87.65)

2.91

1.49–5.68

2.77

1.39–5.53

–

–

 No

393 (4.62)

8112 (95.38)

1.00

–

1.00

–

–

–

Prenatal exposure to SHS

 Yes

149 (8.35)

1636 (91.65)

2.35

1.90–2.89

–

–

2.42

1.95–3.00

 No

254 (3.73)

6547 (96.27)

1.00

–

–

–

1.00

–

Birth week

 <37 weeks

115 (13.53)

735 (86.47)

4.05

3.22–5.09

3.94

3.13–4.97

3.97

3.14–5.02

  ≥ 37 weeks

288 (3.72)

7448 (96.28)

1.00

–

1.00

–

1.00

–

Age (years)

 19–25

10 (4.22)

227 (95.78)

1.08

0.56–2.08

0.97

0.49–1.91

0.97

0.49–1.88

 26–30

113 (3.94)

2757 (96.06)

1.00

–

1.00

–

1.00

–

 31–35

211 (5.47)

3647 (94.53)

1.41

1.12–1.78

1.48

1.17–1.88

1.59

1.25–2.02

 36–48

69 (4.26)

1552 (95.74)

1.09

0.80–1.47

1.01

0.74–1.38

1.15

0.84–1.58

BMI before the pregnancy

 Less than 18.50

94 (5.17)

1725 (94.83)

1.27

0.99–1.62

–

–

1.28

0.99–1.65

 18.50–23.99

218 (4.13)

5060 (95.87)

1.00

–

–

–

1.00

–

 24.00–27.00

31 (5.89)

495 (94.11)

1.45

0.99–2.14

–

–

1.23

0.82–1.84

 Over 27.00

60 (6.23)

903 (93.77)

1.54

1.15–2.07

–

–

1.33

0.98–1.80

Education

 Illiterate/Primary

5 (7.04)

66 (92.96)

1.68

0.67–4.20

1.62

0.64–4.16

1.55

0.59–4.02

 Junior High

57 (7.17)

738 (92.83)

1.71

1.27–2.30

1.77

1.30–2.41

1.75

1.28–2.38

 Senior High

77 (4.77)

1536 (95.23)

1.11

0.86–1.44

1.13

0.87–1.48

1.11

0.85–1.46

 College and above

264 (4.32)

5843 (95.68)

1.00

–

1.00

–

1.00

–

Gestational diabetes mellitus

 Yes

39 (7.32)

494 (92.68)

1.67

1.18–2.35

1.47

1.03–2.08

1.38

0.97–1.97

 No

364 (4.52)

7689 (95.48)

1.00

–

1.00

–

1.00

–

  1. LR(a): Uni-viariate logistic regression
  2. LR(b): Multi-viariate logistic regression to explore the association between LBW of children and prenatal FHS exposure among their mothers, with covariates adjustment of preterm birth, age of mother, education of mother and gestational diabetes mellitus (covariates adjusted during the logistic regression were selected by Directed Acyclic Graph (DAG) method)
  3. LR(c): Multi-viariate logistic regression to explore the association between LBW of children and prenatal SHS exposure among their mothers, with covariates adjustment of preterm birth, age of mother, education of mother, BMI before pregnancy and gestational diabetes mellitus (covariates adjusted during the logistic regression were selected by Directed Acyclic Graph (DAG) method)
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BMC Pregnancy and Childbirth

ISSN: 1471-2393

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