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

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

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)	0.3^b	(0.2 0.7)
Association between number of episodes of respiratory illness /100 weeks of pregnancy and SES^c
High SES	1.7^d	(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	0.9^d	(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	-

^a. Adjusted for mother's age and number of episodes of diarrhea/100 weeks of pregnancy
−2 Log-Likelihood = 187.701, Hosmer & Lemeshow goodness of fit test p-value = 0.566
^b. Odds Ratio (and 95% CI) corresponds to every one week increase in gestational age
^c. SES (Socio-Economic Status). Total score of assets <142 is labeled as "low" and ≥ 142 as "high" SES
^d. Odds Ratio (and 95% CI) corresponds to every 50 unit increase in number of episodes of respiratory illness /100 weeks of pregnancy
^e. For values of "Gravidity" minimum = 1, maximum =11, 25th percentile = 2, 50th percentile = 3, 75th percentile = 5

ISSN: 1471-2393