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Table 3 Multivariable Logistic Regression Modela to identify factors associated with infant low birth weight (n = 222)

From: Impact of maternal respiratory infections on low birth weight - a community based longitudinal study in an urban setting in Pakistan

Variables Adj OR (95% CI)
Mother’s weight at first visit
<57.5 Kg 5.1 (1.3 19.9)
≥57.5 Kg 1 -
Child gestational age (weeks) 0.3b (0.2 0.7)
Association between number of episodes of respiratory illness /100 weeks of pregnancy and SESc
High SES 1.7d (1.0 3.1)
number of episodes of respiratory illness /100 weeks of pregnancy
Low SES
  
number of episodes of respiratory illness /100 weeks of pregnancy 0.9d (0.5 3.5)
Interaction between number of fever episodes/100 weeks of pregnancy and Gravidity
number of fever episodes/100 weeks of pregnancy
Gravidity e= 2   (0.3, 2.2)
≥11 0.8 -
<11 1.0
Gravidity =3   (0.5, 3.0)
≥11 1.3 -
<11 1.0
Gravidity =5   (1.1, 10.5)
≥11 3.4 -
<11 1.0
Gravidity =7   (1.4, 57.6)
≥11 9.0 -
<11 1.0
Gravidity =9   (1.7, 357.2)
≥11 24.2 -
<11 1.0
  1. a. Adjusted for mother's age and number of episodes of diarrhea/100 weeks of pregnancy
  2. −2 Log-Likelihood = 187.701, Hosmer & Lemeshow goodness of fit test p-value = 0.566
  3. b. Odds Ratio (and 95% CI) corresponds to every one week increase in gestational age
  4. c. SES (Socio-Economic Status). Total score of assets <142 is labeled as "low" and ≥ 142 as "high" SES
  5. d. Odds Ratio (and 95% CI) corresponds to every 50 unit increase in number of episodes of respiratory illness /100 weeks of pregnancy
  6. e. For values of "Gravidity" minimum = 1, maximum =11, 25th percentile = 2, 50th percentile = 3, 75th percentile = 5