Modeling determinants of time-to-premarital cohabitation among Ethiopian women using parametric shared frailty models.

BACKGROUND: Premarital cohabitation is rampant and currently practiced worldwide, particularly in sub-Saharan Africa. It is a known cause of marital instability and divorce. It is also associated with intimate partner violence and harms the psychology of children in later life. However, in Ethiopia, there has been limited attention given to premarital cohabitation. OBJECTIVE: The main goal of this study was to identify the determinants of time-to-premarital cohabitation among Ethiopian women. METHODS: The 2016 EDHS data was used to achieve the study's goal. The survival information of 15683 women was analyzed based on their age at premarital cohabitation. The regional states of the women were used as a clustering effect in the models. Exponential, Weibull, and Log-logistic baseline models were used to identify factors associated with age at premarital cohabitation utilizing socioeconomic and demographic characteristics. RESULTS: The median age of premarital cohabitation was found to be 18 years. Surprisingly, 72.7% of participants were cohabitated in the study area. According to the Log-logistic-Gamma shared frailty model, place of residence, occupation, educational status, and being pregnant were found to be factors determining the time to premarital cohabitation. CONCLUSION: Premarital cohabitation among Ethiopian women was higher compared to women in the sub-Saharan Africa and East Africa. Place of residence, occupation, educational status, and being pregnant were found to be factors determining the time for premarital cohabitation. Therefore, we recommend the concerned bodies set out strategies to educate women about the influencing factors and dangers of premarital cohabitation.

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data.

BACKGROUND: Remarkable reduction in global under-five mortality has been seen over the past two decades. However, Ethiopia is among the five countries which account for about half (49%) of all under-five mortality worldwide. This study aimed at identifying factors associated with under-five children mortality in Ethiopia using the 2019 Ethiopia mini demography and health survey data. METHODS: The most recent national representative demography and health survey data of Ethiopia, 2019 Ethiopia mini demography and health survey data, were used for this study. Count data regression models were applied to identify the factors associated with under-five children mortality. Statistical significance was declared at P-value less than 0.05. RESULTS: Zero-Inflated Poisson (ZIP) regression model was found to be the best model compared to other count regression models based on models comparison Criteria. The ZIP model revealed that decreased risk of under-five mortality was associated with mothers aged 25-34 years, unmarried mothers, mothers delivered in health facility, mothers used Pill/IUD, mothers who had larger number of children at home whereas increased risk of under-five mortality was associated with older mothers at their first births, mothers from rural areas, mothers travel for 1-30 min and >30 min to get drinking water, mothers used charcoal and wood, children with higher birth order and multiple births. CONCLUSIONS: In this study, place of residence, region, place of delivery, religion, age of mother, mother's age at first birth, marital status, birth order, birth type, current contraceptive type used, type of cooking fuel, time to get drinking water, and number of children at home were statistically significant factors associated with under-five mortality in Ethiopia. Thus, the Ethiopian Ministry of Health and other concerned bodies are recommended to encourage mothers to deliver at health institutions, give awareness for mothers to use Pill/IUD contraceptive type, and facilitate rural areas to have electricity and drinking water near to homes so as to minimize the under-five mortality to achieve the sustainable development goal.

Rural-urban differentials in child body mass index over time.

BACKGROUND: The body mass index is a simple index based on weight and height that can be used to screen children and adults for potential weight problems. The objective of this study was to investigate urban-rural variations in child BMI and its distribution from 2006 to 2016 in four low and middle-income countries. METHODS: This study used data from the Young Lives prospective cohort study conducted in Ethiopia, India, Peru, and Vietnam to assess the BMI change for children aged 5 to 15 between 2006 and 2016. We adopted a mixed-effect model to analyze the data. RESULTS: The study revealed substantial changes and rises in BMI in Vietnam, Peru, India, and Ethiopia between 2006 and 2016. Peru had the highest BMI changes in both urban-rural areas. A low BMI was observed in Ethiopia and India. Urban-rural differences had a significant role in determining BMI variation. In urban Ethiopia, the mean BMI increased from 14.56 kg/m2 to 17.52 kg/m2, and in rural areas, it increased from 14.57 kg/m2 to 16.67 kg/m2. Similarly, in urban Vietnam, the BMI increased from 16 kg/m2 to 20.3 kg/m2, and in rural areas, it increased from 14.69 kg/m2 to 18.93 kg/m2. CONCLUSIONS: The findings showed an increase in BMI changes in Ethiopia, India, Peru, and Vietnam from 2006 to 2016. Urban-rural differences have a significant contribution to determining BMI variation.

Determinants of infant mortality in Oromia region, Ethiopia.

Infant mortality is one of the commonest health-related indicators used to assess the health status of the community. Children born in Sub-Saharan Africa are at highest risk of infancy death in the world. Ethiopia, in Sub-Saharan Africa, is a country with high infant mortality. Oromia region is among the regions with high infant mortality rate in Ethiopia. Therefore, this study aimed to identify determinants of infant mortality in Oromia region, Ethiopia. Methods: The source of data for this study was 2019 Ethiopian Mini Demographic and Health Survey. Multivariable logistic regression model was employed to identify the determinants the infant mortality. An adjusted odds ratio (OR) with a 95% CI was used examine the determinants of infant mortality. Results: A total of 719 live births born 5 years preceding the survey were included. The infant mortality rate in the study area was 54 deaths per 1000 live births. The risk of dying in infancy was lower for females [adjusted OR (AOR): 0.518, 95% CI: 0.284, 0.945], health deliveries (AOR: 0.429, 95% CI: 0.235, 0.783), infants born to mothers attended ANC during pregnancy (AOR: 0.603, 95% CI: 0.489, 0.744), infants from families with wealth indices of medium (AOR: 0.715, 95% CI: 0.580, 0.882) and rich (AOR: 0.638, 95% CI: 0.425, 0.958) compared with the respective reference categories while it was higher for infants of multiple births (AOR: 2.241, 95% CI: 1.768, 2.841) compared with singletons. Conclusions: Infant mortality rate in the study area, Oromia region, is higher than the national figure. The study found that sex of child, birth type, antenatal care (ANC), place of delivery and wealth index of household were significant determinants of infant mortality. Therefore, concerned bodies should make awareness creation to mothers regarding ANC and encourage them to have ANC follow-up during pregnancy and deliver at health institution to improve the infant survival in the region.

Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data.

Infant mortality is one of the most sensitive and commonly used indicators of the social and economic development of a nation. Ethiopia is among the African countries with high infant mortality rates. This study aimed to understand and identify correlates of infant mortality in Ethiopia. Methods: The data, used in this study, were drawn from 2019 Ethiopian Demographic and Health Survey data. The multivariable Cox proportional hazard analysis was done to identify the correlates of infant mortality. Results: Infant mortality rate was high in the earlier age of months. Males, higher birth order and rural residences were at higher risk of dying before first birthday compared with respective reference groups whereas health facility deliveries, single births, rich wealth indices and older maternal age were at lower risk of dying before first birthday compared with respective reference groups. Conclusion: The study found that age of mother, place of residence, wealth index, birth order, type of birth, child sex and place of delivery were statistically significant in affecting the survival of the infants. Thus, health facility deliveries should be encouraged and multiple birth infants should be given special care. Furthermore, younger mothers should better care of their babies to improve the survival of infants in Ethiopia.

Risk factors of under-five mortality in Ethiopia using count data regression models, 2021.

Background: Despite the global reduction in under-five mortality, still many children die before their fifth birthday in Ethiopia. The main aim of this study was to identify determinants of under-five mortality using count data regression models based on 2019 Ethiopia mini demography and health survey data. Methods: The data source for this study was the 2019 Ethiopia mini demography and health survey data. Various count data regression models were applied to identify the determinants of under-five mortality. Results: A total of 5,535 mothers with children aged 0-59 months were included in the study. Of the total, 1,277 (23.07%) women had lost at least one child by death before celebrating fifth birthday. Zero-Inflated Poisson model was found to be the best model, and it revealed that mother's age, marital status, mother's age at 1st birth, place of delivery, current contraceptive type used, type of cooking fuel, residence, region, religion, time to get drinking water, number of children at home, birth order, and birth type were significant factors that determine U5 mortality in Ethiopia.Mothers aged 15-24 years (IRR = 1.24, p = 0.007) and above 24 years (IRR = 1.66, p = 0.000) at their 1st births, mothers from rural area (IRR = 1.27, p = 0.000), mothers traveled for 1-30 min (IRR = 1.62, p = 0.000) and >30 min (IRR = 1.82, p = 0.000) to get drinking water, mothers used charcoal (IRR = 1.86, p = 0.009) and wood (IRR = 1.64, p = 0.033), children with birth order of 2nd-3rd (IRR = 3.91, p = 0.000), 4th -5th (IRR = 13.14, p = 0.000), 5th and above (IRR = 38.17, p = 0.000), and multiple born children (IRR = 1.5, p = 0.000) had higher risk of under-five mortality while mothers aged 25-34 years (IRR = 0.73, p = 0.000), unmarried mothers (IRR = 0.68, p = 0.004), mothers delivered in public health sectors (IRR = 0.59, p = 0.000), mothers used Pill/IUD (IRR = 0.64, p = 0.018), mothers who had 3 to 5 (IRR = 0.51, p = 0.000) and more than 5 (IRR = 0.27, p = 0.000) children at home had lower risk of under-five mortality. Conclusions: Mothers should be encouraged to deliver at health institutions. Mothers also should be given awareness to use Pill/IUD contraceptive type. Moreover, facilitating rural areas to get electricity and drinking water near to homes helps to reduce the burden of U5M and to be in line with sustainable development goal.

Factors influencing exclusive breastfeeding practice among under-six months infants in Ethiopia.

BACKGROUND: World Health Organization recommends exclusive breastfeeding (EBF) for the first 6 months of life. EBF has sustainable long-term health benefits for both infants and mothers. Despite its benefits, the practice of EBF in Ethiopia is lower than the internationally recommended one. This study aimed at identifying factors influencing EBF practice among under-6 month infants in Ethiopia. METHODS: This study used data drawn from the 2019 Ethiopian Mini Demographic and Health Survey (2019 EMDHS) data. A multivariable logistic regression model was employed to investigate factors significantly associated with EBF practice among under-6 month infants in Ethiopia. An adjusted odds ratio with 95% confidence interval was used to measure the association of factors with EBF practice. RESULTS: A total of 566 infants under the age of 6 months were included in the study. The prevalence of exclusive breastfeeding practice was 83% (95% CI: 79.70-86%). Urban residences (AOR: 0.40, 95% CI: 0.22-0.73), mothers having secondary education (AOR: 1.54, 95% CI: 1.29-1.84) and higher education (AOR: 3.18, 95% CI: 0.68-15.02), mothers having ANC visits of 1 to 3 times (AOR: 1.52, 95% CI: 1.24-1.88) and ANC visits of 4 and more times (AOR: 4.27, 95% CI: 1.06-17.25), family size of more than 5 (AOR: 0.45, 95% CI: 0.26-0.88), caesarean births (AOR: 0.63, 95% CI: 0.42-0.95), and deliveries at health facilities (AOR: 2.51, 95% CI: 1.12-5.63) were factors significantly associated with EBF practice among under-6 month infants. CONCLUSION: In this study, EBF practice among under-6 month infants was significantly associated with place of residence, maternal educational level, ANC visits, family size, mode of delivery, and place of delivery. Therefore, encouraging ANC visit and promotion of institutional (health facility) delivery are recommended. Furthermore, special attention has to be given to mothers with no or less education to make them better aware of the EBF and its benefits to enhance exclusive breastfeeding practice.