Repository logo
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
    Communities & Collections
    Research Outputs
    Fundings & Projects
    People
    Organizations
    Statistics
  • English
  • 中文
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. .TMU Publications / 北醫出版品(教師升等著作 / 教學實踐 / 學位論文)
  3. .博碩士學位論文
  4. 111學年度
  5. Factors Associated with Low Birth Weight in Gambia: Analysis of Gambia 2013 and 2019 Demographic and Health Survey (GDHS)
 
  • Details
Options

Factors Associated with Low Birth Weight in Gambia: Analysis of Gambia 2013 and 2019 Demographic and Health Survey (GDHS)

Other Title
Factors Associated with Low Birth Weight in Gambia: Analysis of Gambia 2013 and 2019 Demographic and Health Survey (GDHS)
Type
thesis
Date Issued
2023-05-25
Author(s)
JUANNA NATALIE HOLDER
Advisor
SANNA, MATTIA
Subjects
系所名稱:全球衛生暨發展碩士學位學程
Description
學位別:碩士
語文別:英文
口試委員:陳怡樺 CHEN,YI-HUA;高志文 GAO,WAYNE;SANNA, MATTIA SANNA, MATTIA
授權範圍:網際網路,開放日期為2023-07-14
Abstract
Background: Throughout the sub-Saharan region, Low birth weight (LBW) continues to be a significant contributor to high perinatal mortality and morbidity rates. Although it is getting better in Gambia, it is still a significant health problem. Few researchers currently address the factors connected to LBW with a sizable sample. The study's goal was to determine the most important LBW risk variables in the Gambia and assess how they had evolved over the previous ten years.
Methods: A secondary analysis of the Gambia Demographic and Health Survey (GDHS) between 2013 and 2019–20 was completed using questions for women belonging to the reproductive age category. Data used in this study were compiled from birth records (BR), which included information regarding live births to women who decided to be interviewed and having given birth in a time period of five years prior the poll. To investigate the relationship between LBW and child features, sociodemographic variables, and maternal factors, multivariable logistic regression models were constructed. Utilizing SPSS version 26, data analysis was carried out. An adjusted odds ratio and a matching 95% confidence interval (CI) were generated to show the results of the studies. Participants' characteristics were shown using descriptive statistics.
Results: Females have continuously had a high prevalence of LBW. In 2013, there was a substantial association between mothers' education and LBW: babies born to uneducated mothers were shown to be more prone to LBW (AOR = 1.73, 95%CI; 1.03-2.91); however, in 2019, there was no significant association. The wealth index and residency were shown to have additional relevance.
Conclusion: We discovered evidence that the mother's education, wealth index, and area of residency in The Gambia were significantly related to LBW newborns. This suggests that appropriate and timely initiatives should target these factors to address the prevalence of LBW. Based on related variables, findings may also be utilized to direct advancements towards LBW quickly. Health practitioners should warn expectant mothers who risk giving birth to LBW children, and also make sure that they are able to access crucial health information regarding the multiple causes and dangers of LBW. If the important issues are addressed locally or nationally, LBW can be avoided or reduced.
URI
https://handle.ncl.edu.tw/11296/9ud53p
https://203.71.86.71/handle/123456789/10123

Copyright Notice

● The digital content on this platform is part of the Taipei Medical University Institutional Repository, featuring various academic works and outputs from the institution. It offers free access to academic research and public education for non-commercial use.

● Please use the content appropriately and within legal boundaries to respect copyright owners' rights. For commercial use, please obtain prior authorization from the copyright owner. Users must not use TMUIR for any illegal purposes.

● By utilising the platform, users are deemed to have fully accepted and understood all the regulations set out in this statement, relevant laws of the Republic of China, all international internet regulations, and usage conventions.

● TMUIR is committed to protecting the interests of copyright owners. If you believe that any material on this website infringes copyright, please contact our staff at libirtmu@gmail.com, and we will remove the work from the repository.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback