Two Level Logistic Regression Model of Factors Influencing in Early Childbearing and its Consequences on Nutritional Status of Bangladeshi Mothers: Nationally Representative Data

Background: Early marriage and early pregnancy is a social as well medical problem in developing countries, which may have an impact on the health nutritional status of teenage mothers. Therefore, objective this study was to determine influencing factors childbearing (ECB) its consequences Bangladeshi Methods: Data extracted from Bangladesh Demographic Health Survey (BDHS-2014). Women who delivered their first baby before age 20 years are considered ECB Nutritional measured by body mass index (BMI). Chi-square test both univariable multivariable logistic regressions, z-proportional were used study. Results: The prevalence among currently non-pregnant mothers 83%. regression model provided following six risk ECB: (i) living location (division) (p<0.01), (ii) respondents’ education (p<0.05), (iii) husbands’ (iv) household wealth quintiles (v) at (vi) number family members (p<0.05). Still, 17.6% undernourished Bangladesh; them, 18.5% 13.4% non- respectively. had greater be than non-ECB [COR=1.26, 95% CI: 1.11-1.43; p<0.01]. Conclusions: In study, some modifiable found predictors Bangladesh. more prone become under-nourished. These findings can reduce consequently improve status.