Skip to main content

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)