Background: The incidence of low birth weight is estimated to be 16% worldwide, 19% in developing countries, and 7% in developed countries. Currently, 13% of Ethiopian babies are born with a low weight; different studies have reported that the prevalence of low birth weight accounts for about 8.8% in Addis Ababa and 10.5% in the Tigray region. This study is primarily aimed at assessing the factors associated with the low birth weight of newborns in selected Addis Ababa public hospitals. Methods: Data collection was conducted in Addis Ababa from March 2021 to April 2021. A facility-based cross-sectional study was used among 466 mothers who gave birth in public hospitals during a reference period. Primary data were collected using a structured questionnaire adopted from previous studies. The sample size was calculated by Epi Info calc using an assumption of 95% CI, 80% power, 20.6 percent exposed, 10.4 percent unexposed, and 2.2 Adjusted Odds Ratio (AOR). Univariate, bivariate, and multiple logistic regression analyses were used. Adjusted odds ratios were used to identify the association between the key predictors and the dependent variable (birth weight). Results: Of the total respondents, 12.4% gave birth to infants with a low birth weight. The median age of the participants was 28 yrs (IQR = 7). The results of multivariable logistic regression showed that the key determinants of low birth weight among the study population were: number of ANC (Antenatal Care) visits (AOR = 0.4, 95% CI: 0.17–0.99), presence of Abnormal Uterine Bleeding (AUB) during recent pregnancy (AOR = 10.9, 95% CI: 2.5–15.8), having pre-eclampsia or eclampsia during recent pregnancy (AOR 9.5, 95% CI: 4.8–10.8), Anemia during pregnancy (AOR = 3.3, 95% CI 3.1–3.6), Chewing Kchat (AOR = 7.9, 95% CI: 3.9–16.1), and pre-pregnancy maternal nutritional (AOR = 0.2, 95% CI: 0.1–0.5). Conclusions: Encouraging pregnant mothers to make frequent ANC visits, behavioral change communications that target pregnant women for improving women’s nutritional status, and reducing maternal toxic exposures should be priority areas of interventions to curb the problem.

BACKGROUND: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. METHODS: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. RESULTS: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. CONCLUSIONS: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.

• MeSH
• celosvětové zdraví * MeSH
• globální zátěž nemocemi * MeSH
• incidence MeSH
• kvalitativně upravené roky života MeSH
• lidé MeSH
• morbidita MeSH
• naděje dožití MeSH
• rány a poranění * mortalita   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Research Support, N.I.H., Intramural MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH