Thesis Open Access
DESALEGN ABEBAW
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<identifier identifierType="DOI">10.20372/nadre:2119</identifier>
<creators>
<creator>
<creatorName>DESALEGN ABEBAW</creatorName>
</creator>
</creators>
<titles>
<title>PREVALENCE AND ASSOCIATED FACTORS OF LOW BIRTH WEIGHT AMONG NEWBORN BABIES IN DESSIE TOWN HEALTH INSTITUTIONS AMHARA REGION, ETHIOPIA</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2017</publicationYear>
<dates>
<date dateType="Issued">2017-06-01</date>
</dates>
<resourceType resourceTypeGeneral="Text">Thesis</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/2119</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.20372/nadre:2118</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/aau</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/zenodo</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract"><p>Introduction: Globally, more than 20 million infants are born with Low Birth Weight and a<br>
larger proportion of these concentrating in Asia and Africa. Africa has a reported incidence of<br>
14.3 %.Children born with low birth weight are more likely to die prematurely compared to<br>
infants of normal birth weight. Likewise, these children experience more morbidity, both in the<br>
short and long term. Therefore, it is clear that low birth weight represents a heavy burden for<br>
healthcare services worldwide.<br>
Objective: The aim of this study was to assess the prevalence and associated factors of low birth<br>
weight among newborn babies in Dessie town health institutions, Amhara region, Ethiopia.<br>
Method: An institutional based cross sectional study design was conducted to assess the<br>
prevalence and associated factors of low birth weight among newborn babies in Dessie town<br>
health institutions. The data was collected using a semi-structured pre-tested interviewer guided<br>
questionnaire. Data was cleaned manually, coded and entered into Epi -info version 7 and<br>
analysed by SPSS version 20 statistical software.Bivariate and multivariate logistic regression<br>
analyses were employed to identify associated factors for low birth weight.After bivariate<br>
regression analysis, variables with P value less than 0.2 were included in multivariable logistic<br>
regression. Adjusted odd ratio along with 95% CI was calculated to see strength of association<br>
and P&lt;0.05 was taken as level of statistical significance</p></description>
</descriptions>
</resource>
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