Abstract:Globally as well as in the developing world unintended pregnancies are among the major social and health problems. In Ethiopia, 54% of pregnancies to girls under age 15 are unwanted. In some countries where accesses to safe and legal abortion services are restricted, unsafe abortion is the cause for more than 30% of maternal deaths. The aim of this study was to assess factors associated with unwanted pregnancy among female students of Madawalabu University from 01-21, March 2014. A cross sectional study was conducted among 814 female students of Madawalabu university drawn randomly from 6 selected schools in 01-21, March 2014. Self administered questionnaire, adapted from previous relevant studies was used to assess Factors associated with unwanted pregnancy among female students of Madawalabu University. Data was entered, cleaned and then analyzed using Bivariate and multivariate logistic regression models. A total of 814 female students responded to the questionnaire adequately making the response rate of 96%. The mean age of study participants was 20.74 years with standard deviation of 1.47. The overall prevalence of unwanted pregnancy among those who ever had sexual intercourse was 8.1% and among all study participants it was 32.4%. Ever hearing about family planning, consistent use of family planning in the last twelve months, and drinking alcohol in the last one week were among significantly associated with unwanted pregnancy Thus, Madawalabu University HIV/AIDS prevention and control office and other stakeholders are recommended to promote extensively family planning utilization to avoid unwanted pregnancies.
Background: Nowadays, worldwide road traffic-related injuries, disabilities, and deaths are becoming a major public health threat. It is projected that by the year 2020, road traffic injuries are becoming the third-largest cause of disabilities in the world. More than 85% of the world’s road fatalities are attributed to developing countries. Objective: This study aims to assess the prevalence of road traffic accident and associated factors among drivers of three and four-wheeled vehicles in East Wollega, Western Ethiopia 2017. Methodology: A cross-sectional study design was employed to gather information from 400 drivers of three and four-wheeled vehicles from February to March 2017. Data were entered into Epi info version 3.5.3, cleaned and analyzed using SPSS version 20. Bivariate and multivariate analyses were used to examine the association between dependent and independent variables. Statistical significance was declared at P-value 0.05. Result: The data were collected from 400 drivers making response rate of 94.6%. The mean age of the study participants was 28.4±4.3. About one third (33%) of the drivers encountered an accident in the last one year. Living in urban (AOR=0.29, 95% CI [.09-.095]), Age of respondents 25-34 years (AOR=2.58, 95 %CI [1.46-4.54]) & >=35 years (AOR=2.53, 95%CI [1.20-5.33], sometimes angry(AOR=0.40, 95% CI [0.21- 0.77], don’t angry at all (AOR=0.26, 95% CI [0.11- 0.60], Mobile speaking habit while driving (AOR=1.67, 95% CI [1.21- 2.74]), driving on straight road (AOR=0.5, 95% CI [0.31-0.78]) and being penalized (AOR= 1.89, 95% CI [1.18-3.06],) were among factors associated with road traffic accident. Conclusion: The prevalence of road traffic accident revealed in this study is a public health significance. The most perceived cause of road traffic accidents mentioned was an overcrowded road which is shared by drivers, pedestrians, and animals. Therefore, it is better if the zonal and town transport agency office work on the management of road traffic utilization and continuously follow the driver’s behaviors.
Background: Neonatal near miss is an infant who nearly died but survived from birth to 28 days. Neonatal period is the most vulnerable time for child’s healthiness and continued existence. Globally, about 2.5 million children died in their first month of life and 7000 die/day. Objective: To assess neonatal near miss and associated factors among neonates admitted to intensive care unit at hospitals in East Wollega, West Ethiopia, 2019. Methods: Quantitative, facility-based cross-sectional study was conducted from 15 July to 30 August 2019 on 403 neonates admitted to neonatal intensive care unit of hospitals. After ethical clearance, five recruited and trained nurses collected the data with pretested structured questionnaire. Neonates sampled were selected using systematic random sampling. Data entered into Epi-info version 7.1 and exported to SPSS Version 24. Binary logistic regression was performed, and adjusted odds ratio with P-value ⩽ 0.05 at 95% confidence interval was used as statistically significant. Results: All, 403, study participants were included in this study, yielding 100% response rate. From these, 196 (48.60%) neonates were near miss. In multivariable logistic regression, mother who lived in rural area (adjusted odds ratio = 3.84, 95% confidence interval = (1.78, 8.31)), cesarean section (adjusted odds ratio = 10.68, 95% confidence interval = (2.95, 38.71)), and neonates referred to hospitals (adjusted odds ratio = 3.32, 95% confidence interval = (3.27, 12.01)). Also, female neonates (adjusted odds ratio = 2.99, 95% confidence interval = (1.45, 6.14)) and multiple birth (adjusted odds ratio = 3.07, 95% confidence interval = (1.32, 7.16)) were significantly associated with neonatal near miss. Conclusion: Neonatal near miss found to be high compared to previously existing research in Brazil. Health institutions, health professionals, and concerned bodies on plan and implementation of neonatal care need to consider these factors during pregnancy, delivery, and for neonates immediate after birth and in neonatal intensive care unit.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.