June 1, 2017 Thesis Open Access

DESALEGN ABEBAW

DCAT Export

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    <dct:title>PREVALENCE AND ASSOCIATED FACTORS OF LOW BIRTH WEIGHT AMONG NEWBORN BABIES IN DESSIE TOWN HEALTH INSTITUTIONS AMHARA REGION, ETHIOPIA</dct:title>
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    <dct:description>&lt;p&gt;Introduction: Globally, more than 20 million infants are born with Low Birth Weight and a&lt;br&gt; larger proportion of these concentrating in Asia and Africa. Africa has a reported incidence of&lt;br&gt; 14.3 %.Children born with low birth weight are more likely to die prematurely compared to&lt;br&gt; infants of normal birth weight. Likewise, these children experience more morbidity, both in the&lt;br&gt; short and long term. Therefore, it is clear that low birth weight represents a heavy burden for&lt;br&gt; healthcare services worldwide.&lt;br&gt; Objective: The aim of this study was to assess the prevalence and associated factors of low birth&lt;br&gt; weight among newborn babies in Dessie town health institutions, Amhara region, Ethiopia.&lt;br&gt; Method: An institutional based cross sectional study design was conducted to assess the&lt;br&gt; prevalence and associated factors of low birth weight among newborn babies in Dessie town&lt;br&gt; health institutions. The data was collected using a semi-structured pre-tested interviewer guided&lt;br&gt; questionnaire. Data was cleaned manually, coded and entered into Epi -info version 7 and&lt;br&gt; analysed by SPSS version 20 statistical software.Bivariate and multivariate logistic regression&lt;br&gt; analyses were employed to identify associated factors for low birth weight.After bivariate&lt;br&gt; regression analysis, variables with P value less than 0.2 were included in multivariable logistic&lt;br&gt; regression. Adjusted odd ratio along with 95% CI was calculated to see strength of association&lt;br&gt; and P&amp;lt;0.05 was taken as level of statistical significance&lt;/p&gt;</dct:description>
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