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

Autor: Md. Abu Sayem, Khirujjaman Sumon, Md. Golam Hossain, Abu Sayed Md. Al Mamun, Md. Sabiruzzaman, Suman Chakrabarty, Premananda Bharati, Md. Abu Taleb
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Statistics in Medical Research. 10:97-106
ISSN: 1929-6029
Popis: Background: Early marriage and early pregnancy is a social as well as a medical problem in developing countries, which may have an impact on the health and nutritional status of teenage mothers. Therefore, the objective of this study was to determine the influencing factors of early childbearing (ECB) and its consequences on the nutritional status of Bangladeshi mothers. Methods: Data was extracted from Bangladesh Demographic and Health Survey (BDHS-2014). Women who delivered their first baby before the age of 20 years are considered ECB mothers. Nutritional status was measured by body mass index (BMI). Chi-square test and both univariable and multivariable logistic regressions, and z-proportional test were used in this study. Results: The prevalence of ECB among currently non-pregnant mothers in Bangladesh was 83%. The logistic regression model provided the following six risk factors of ECB: (i) living location (division) (p
Databáze: OpenAIRE