Background. Utilizing antenatal care is one of the best ways to identify issues that are already ... more Background. Utilizing antenatal care is one of the best ways to identify issues that are already present or could arise throughout pregnancy. Despite increased efforts to expand health services and antenatal care utilization, less is known regarding antenatal care disparities across different population segments. Therefore, the purpose of this study was to assess the degree of discrepancies between urban and rural Ethiopian pregnant women’s use of antenatal care. Methods. A total sample of 3927 women who gave birth to living children between 2014 and 2019 was included in the study from the 2019 Ethiopia Mini Demographic and Health Survey. Negative binomial Poisson’s regression was adopted to analyze the data. Results. The majority of pregnant women (73.8%) attend at least one antenatal care. Pregnant women in rural areas visited fewer number of antenatal care (68.36%) than those in urban areas (90.1%). Women with age range of 30-40 (IRR: 4.56, 95% CI: 1.07-19.34), women with attendi...
Background: Sleepiness, the most frequent sub-type of sleep disorders, is an excessive daytime sl... more Background: Sleepiness, the most frequent sub-type of sleep disorders, is an excessive daytime sleepiness which commonly affects commercial drivers than the general population. It contributes to the high prevalence of Road Traffic due to its impact related to psychological stress, decreased productivity and increased risk of accidents both in & out of Ethiopia. Therefore, the current study was designed to elucidate the level of daytime sleepiness and its attributes to contribute to the prevention actions of country’s strategy. Objective: To describe the prevalence and associated factors of daytime sleepiness among commercial vehicle drivers in EthiopiaMethods: Data were collected from 398 randomly selected participants using a validated and pretested questionnaire to assess socio-demographic characteristics and the Epworth Sleepiness Scale (ESS), which assesses daytime sleepiness prevalence. All data were entered into EpiData and analyzed using Statistical Package for Social Science...
Background. Utilizing antenatal care is one of the best ways to identify issues that are already ... more Background. Utilizing antenatal care is one of the best ways to identify issues that are already present or could arise throughout pregnancy. Despite increased efforts to expand health services and antenatal care utilization, less is known regarding antenatal care disparities across different population segments. Therefore, the purpose of this study was to assess the degree of discrepancies between urban and rural Ethiopian pregnant women’s use of antenatal care. Methods. A total sample of 3927 women who gave birth to living children between 2014 and 2019 was included in the study from the 2019 Ethiopia Mini Demographic and Health Survey. Negative binomial Poisson’s regression was adopted to analyze the data. Results. The majority of pregnant women (73.8%) attend at least one antenatal care. Pregnant women in rural areas visited fewer number of antenatal care (68.36%) than those in urban areas (90.1%). Women with age range of 30-40 (IRR: 4.56, 95% CI: 1.07-19.34), women with attendi...
Background: Sleepiness, the most frequent sub-type of sleep disorders, is an excessive daytime sl... more Background: Sleepiness, the most frequent sub-type of sleep disorders, is an excessive daytime sleepiness which commonly affects commercial drivers than the general population. It contributes to the high prevalence of Road Traffic due to its impact related to psychological stress, decreased productivity and increased risk of accidents both in & out of Ethiopia. Therefore, the current study was designed to elucidate the level of daytime sleepiness and its attributes to contribute to the prevention actions of country’s strategy. Objective: To describe the prevalence and associated factors of daytime sleepiness among commercial vehicle drivers in EthiopiaMethods: Data were collected from 398 randomly selected participants using a validated and pretested questionnaire to assess socio-demographic characteristics and the Epworth Sleepiness Scale (ESS), which assesses daytime sleepiness prevalence. All data were entered into EpiData and analyzed using Statistical Package for Social Science...
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