Research
Multiple Logistic Regression Models of Factors Influencing Low Birth Weight of Bangladeshi Neonates: Survey in Rajshahi District
Author(s): Md. Aslam Hossain, Abu Sayed Md. Al Mamun, Mahir Hossain Labib Zeshan, Md. Reazul Karim, Md. Mejanur Rahman, Md. Shariful Islam, Md. Ahshanul Haque and Md.Golam Hossain*
Introduction: Low Birth Weight (LBW) babies are susceptible to infections and malnutrition leading to poor physical, mental development and child morbidity. Although the health condition of Bangladesh has enriched substantially over the years, the LBW rate is still pretty high. The principal focus of this study was to examine the maternal factors (e.g. socio- demographic, and pregnancy related) affecting LBW in rural communities of Bangladeshi infants and drew a district levelprevalence map.
Methods: We used multistage sampling technique to select samples covering all the population from nine Upazilas with 233 community clinics of Rajshahi district. A total of 540 mothers and their children were enrolled into the study. Any association between LBW and maternal affecting factors were evaluated using Chi-square test with causes of LBW identifi.. Read More»
DOI:
10.4172/0976-1233.13.1.003
