Authors :
MD Yahia; Dr.Kamrun Nahar
Volume/Issue :
Volume 7 - 2022, Issue 9 - September
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3QSRGzt
DOI :
https://doi.org/10.5281/zenodo.7089714
Abstract :
Birth weight is a remains a major public health
issue particularly in developing countries which is
significant predictor of a child's susceptibility to childhood
illness incidence and survival chances. According to BDHS
(2014) in Bangladesh, 22% children are born with low birth
weight. The purpose of the study was to investigate the
factors that are associated with Child size at birth
Bangladesh Demographic and Health Surveys (BDHS) of
2014 dataset. In case of bivariate analysis, Chi-square test is
performed and observed significant relationship of child
size at birth and educational qualification of woman and
husband, wealth index, types of residence and division.
Multiple logistic regression analysis has been employed to
identify the associated factors with child birth size. This
study revealed some variables that account significantly for
children born below normal size. For not-normally born
children, the possibility of normally delivered children has
0.25 times less significant than caesarian delivered child and
residential status, economic condition, women's education,
husband’s education level is statistically associated with
positive direction for child size at birth. On the other hand,
woman's body mass index (BMI) is not substantially linked
to child size at birth, but thin mother has the greatest
chance. This work will help to guide the people to address
the issue of Low birth weight.
Birth weight is a remains a major public health
issue particularly in developing countries which is
significant predictor of a child's susceptibility to childhood
illness incidence and survival chances. According to BDHS
(2014) in Bangladesh, 22% children are born with low birth
weight. The purpose of the study was to investigate the
factors that are associated with Child size at birth
Bangladesh Demographic and Health Surveys (BDHS) of
2014 dataset. In case of bivariate analysis, Chi-square test is
performed and observed significant relationship of child
size at birth and educational qualification of woman and
husband, wealth index, types of residence and division.
Multiple logistic regression analysis has been employed to
identify the associated factors with child birth size. This
study revealed some variables that account significantly for
children born below normal size. For not-normally born
children, the possibility of normally delivered children has
0.25 times less significant than caesarian delivered child and
residential status, economic condition, women's education,
husband’s education level is statistically associated with
positive direction for child size at birth. On the other hand,
woman's body mass index (BMI) is not substantially linked
to child size at birth, but thin mother has the greatest
chance. This work will help to guide the people to address
the issue of Low birth weight.
