Associated factors of birth weight outcomes in the south of Iran: A cross-sectional survey

Abstract

Background: Adverse birth outcomes are serious health problems that increase morbidity and mortality in neonates. Socioeconomic inequities are linked with Low Birth Weight (LBW) and High Birth Weight (HBW); however, the associations of these factors differ in various groups. The present survey aimed to estimate the prevalence of LBW and HBW and also to determine the associated demographic and socioeconomic factors. Methods: A population-based, cross-sectional survey was conducted on 6495 children, aged 0-2 years, selected through cluster and multistage sampling methods in 30 cities of Fars province, Iran, from December 2012 to January 2013. Determinants were assessed using a questionnaires including demographic, health parameters, and socioeconomic variables. Also, birth weights were recorded from health report cards. We examined the association between probable factors related to LBW and HBW, and analyzed the data using multinomial regression model. Results: Among the study population, 636 (9.7%) were LBW and the rate of HBW was estimated to be 152 (2.3%). In multinomial regression, the odds ratio of LBW was significantly higher in girls (OR=1.38, 95%CI=1.17-1.63), and the first (OR=1.7, 95%CI=1.25-2.31) and the second born child (OR=1.4, 95%CI=1.06-2.02); this ratio was lower in families with the father as the head of the family (OR=0.31, 95%CI=0.13-0.68) or mother (OR=0.43, 95%CI=0.11-1.64), and children from low populated families (OR=0.54, 95%CI=0.42-0.68). Moreover, the lower maternal education (OR=2.52, 95%CI=1.36-4.70) was significantly associated with increased HBW; however, girls (OR=0.56, 95%CI=0.39-0.79), low populated families (OR=0.60, 95%CI=0.37-0.96), and fathers as family head (OR=0.19, 95%CI=0.05-0.71) lowered the odds of HBW. Conclusion: LBW was identified at a relatively high level. The prevention of adverse birth outcomes may be applicable by targeting demographic and social determinants like gender, birth order, family size, mother’s education, and family head as predictors of birth weight in public health interventions.