Uncovering predictors of low hippocampal volume: Evidence from a large-scale machine-learning-based study in the UK Biobank.

INTRODUCTION: Hippocampal atrophy is an established biomarker for conversion from the normal ageing process to developing cognitive impairment and dementia. This study used a novel hypothesis-free machine-learning approach, to uncover potential risk factors of lower hippocampal volume using information from the world's largest brain imaging study. METHODS: A combination of machine learning and conventional statistical methods were used to identify predictors of low hippocampal volume. We run gradient boosting decision tree modelling including 2891 input features measured before magnetic resonance imaging assessments (median 9.2 years, range 4.2-13.8 years) using data from 42,152 dementia-free UK Biobank participants. Logistic regression analyses were run on 87 factors identified as important for prediction based on Shapley values. False discovery rate adjusted P-value <0.05 was used to declare statistical significance. RESULTS: Older age, male sex, greater height, and whole-body fat free mass were the main predictors of low hippocampal volume with the model also identifying associations with lung function and lifestyle factors including smoking, physical activity, and coffee intake (corrected P<0.05 for all). Red blood cell count and several red blood cell indices such as haemoglobin concentration, mean corpuscular haemoglobin, mean corpuscular volume, mean reticulocyte volume, mean sphered cell volume, and red blood cell distribution width were among many biomarkers associated with low hippocampal volume. CONCLUSION: Lifestyles, physical measures, and biomarkers may affect hippocampal volume, with many of the characteristics potentially reflecting oxygen supply to the brain. Further studies are required to establish causality and clinical relevance of these findings.

Gastroesophageal reflux disease symptoms and associated factors among university students in Amhara region, Ethiopia, 2021: a cross-sectional study.

INTRODUCTION: Gastroesophageal reflux disease (GERD) symptom is a relapsing chronic medical condition resulting from the reflux of gastric acid contents into the esophagus and throat or mouth. It interferes with social functioning, sleep, productivity, and quality of life. Despite this, the magnitude of GERD symptoms is not known in Ethiopia. Therefore, this study was conducted to determine the prevalence and associated factors of GERD symptoms among university students in the Amhara national regional state. METHODS: An institutional-based cross-sectional study was employed in Amhara national regional state Universities, from April 1, 2021, to May 1, 2021. Eight hundred and forty-six students were included in the study. A stratified multistage sampling technique was employed. Data were collected by using a pretested self-administered questionnaire. Data were entered via Epi Data version 4.6.0.5 and analyzed by SPSS version-26 software. The bivariable and multivariable binary logistic regression analyses were used to determine the associated factors of GERD symptoms. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was calculated. Variables having a p-value of ≤ 0.05 were considered statistically significant. RESULTS: The prevalence of GERD symptoms in this study was 32.1% (95% CI = 28.7-35.5%). Being in the age of 20-25 years (AOR = 1.74, 95%CI = 1.03-2.94), female (AOR = 1.67, 95% CI = 1.15-2.41), use of antipain (AOR = 2.47, 95% CI = 1.65-3.69) and soft drinks (AOR = 1.58, 95% CI = 1.13-2.20) were significantly associated with higher odds of GERD symptoms. Urban dwellers had less chance of having GERD symptoms (AOR = 0.67, 95% CI = 0.48-0.94). CONCLUSION: Nearly one-third of university students are affected by GERD symptoms. Age, sex, residence, use of antipain, and consumption of soft drinks were significantly associated with GERD. Reducing modifiable risk factors such as antipain use and soft drink consumption among students is advisable to decrease the disease burden.

Double burden of malnutrition and its associated factors among women in low and middle income countries: findings from 52 nationally representative data.

BACKGROUND: Double burden of malnutrition (DBM) is an emerging global public health problem. The United Nations member states adopted eradicating all forms of malnutrition as an integral component of the global agenda. However, there is evidence of a high burden of undernutrition among women and rising rates of overweight and obesity, especially in low and middle income countries (LMICs). Therefore, this study aimed to investigate the prevalence and associated factors of underweight, overweight, and obesity among women of reproductive age in LMICs. METHODS: Data for the study were drawn from a recent 52 Demographic and Health Surveys (DHS) conducted in LMICS. We included a sample of 1,099,187 women of reproductive age. A multilevel multinomial logistic regression model was used to identify factors associated with DBM. Adjusted relative risk ratio (RRR) with a 95% Confidence Interval (CI) was reported to show an association. RESULTS: The prevalence of underweight, overweight, and obesity in LMICs among women of reproductive age was 15.2% (95% CI: 15.1-15.3), 19.0% (95% CI: 18.9- 19.1), and 9.1% (95% CI: 9.0-9.2), respectively. This study found that women aged 24-34 years, aged ≥ 35 years, with primary, secondary, and above educational level, from wealthy households, using modern contraceptives, exposed to media (radio and television), and with high parity (more than one birth) were more likely to have overweight and obesity and less likely to have underweight. Moreover, the risk of having obesity (RRR = 0.59; 95% CI = 0.58-0.60 and overweight (RRR = 0.78; 95% CI = 0.77-0.79) were lower among rural women, while the risk of being underweight was (RRR = 1.13; 95% CI = 1.11-1.15) higher among rural women compared to urban women. CONCLUSION: The prevalence of underweight, overweight, and obesity was high among women of reproductive age in LMICs. Underweight, overweight, and obesity are influenced by sociodemographic, socioeconomic, and behavioral-related factors. This study shows that, in order to achieve Sustainable Development Goal 2, a multifaceted intervention approach should be considered to prevent both forms of malnutrition in women of reproductive age. This can be achieved by raising awareness and promoting healthy behaviors such as healthy eating and physical activity, especially among educated women, women from wealthy households, and women exposed to the media.

Comprehensive knowledge about HIV/AIDS and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel analysis using the most recent demographic and health survey of each country.

BACKGROUND: Women of reproductive age in sub-Saharan African (SSA) share the greatest burden of the HIV/AIDS epidemic. Comprehensive knowledge about HIV is seen as pivotal in combating the epidemic. Therefore, this study aimed to assess comprehensive knowledge about HIV/AIDS and associated factors among women of reproductive age in sub-Saharan Africa. OBJECTIVE: To examine comprehensive knowledge about HIV/AIDS and associated factors among women of reproductive age in sub-Saharan Africa. METHODS: We used the most recent SSA countries Demographic and Health Surveys (DHS) data. To assess comprehensive knowledge, a composite score of six separate questions (can get HIV by witchcraft or supernatural means, can reduce risk of getting HIV by using condoms during sex, reduce the risk of getting HIV by having one sex partner only, can get HIV from mosquito bites, can get HIV by sharing food with a person who has HIV/AIDS, and a healthy-looking person can have HIV) was used. Those who answered all six questions correctly were considered to have comprehensive knowledge. To assess the factors associated with comprehensive knowledge of HIV/AIDS, we used a multilevel binary logistic regression model since the data had hierarchical nature. RESULTS: In this study, the comprehensive knowledge about HIV/AIDS was 38.56% (95% CI: 38.32, 38.75). Both individual and community-level factors were associated with comprehensive knowledge about HIV/AIDS. Among individual-level factors, older age, having primary and above educational level, being from wealthy households, contraceptive use, listening to the radio, and reading newspaper were associated with higher odds of comprehensive knowledge about HIV/AIDS. Being from urban areas and the Eastern African region were the community-level factors that were associated with higher odds of comprehensive knowledge about HIV/AIDS. CONCLUSION: The study found that comprehensive knowledge of HIV/AIDS is low. Individual and community-level factors were associated with comprehensive knowledge of HIV/AIDS. Therefore, giving special attention to those young women, women who had no formal education, those from poor socioeconomic status, and those who are from remote areas could decrease the epidemics of HIV/AIDS by increasing the comprehensive knowledge about HIV/AIDS. Besides, it is better to strengthen media campaigns regarding HIV/AIDS to increase comprehensive knowledge about HIV/AIDS.

Determinants of HIV voluntary counseling and testing: a multilevel modelling of the Ethiopian Demographic and Health Survey.

BACKGROUND: Human immunodeficiency virus (HIV) counseling and testing services are vital to reduce the spread of HIV infection, and to create an opportunity for early treatment and reduction of HIV/AIDS-related mortality. However, only 12 sub-Saharan African (SSA) countries reached the first 90% target (90% of people living with HIV to know their status). Hence, this study aimed to investigate the determinants of HIV counseling and testing among reproductive-age women in Ethiopia. METHODS: Ethiopian Demographic and Health Survey (EDHS 2016) data was used to identify the determinants of HIV counseling and testing among reproductive-age women in Ethiopia. A weighted sample of 14,599 reproductive age women was included in the study. A multilevel binary logistic regression model was fitted to identify the determinants of HIV counseling and testing. The odds' ratio with a 95% Confidence Interval (CI) and the corresponding P-value ≤ 0.05 was employed to declare the statistically significant variables. RESULTS: In this study, both individual and community-level variables were significantly associated with Voluntary Counseling and Testing (VCT) uptake among women. Women aged 25-34 years (Adjusted Odds Ratio (AOR) 2.29, 95% CI 2.05, 2.56), aged ≥ 35 years (AOR 1.55, 95% CI 1.38, 1.75), attending primary education (AOR 1.68, 95% CI 1.51, 1.88), secondary education (AOR 3.07, 95% CI 2.64, 3.58), and higher education (AOR 5.15, 95% CI 4.17, 6.36), women with medium household wealth (AOR 1.56, 95% CI 1.32, 1.84), richer (AOR 1.88, 95% CI 1.58, 2.24), and richest wealth index (AOR 2.37, 95% CI 1.91, 2.94), having comprehensive knowledge (AOR 1.21, 95% CI 1.06, 1.37), ever married (AOR 3.87, 95% CI 3.46, 4.32), having sexual risky behavior (AOR 2.09, 95% CI 1.69, 2.49), women from communities with high HIV knowledge (AOR 2.03, 95% CI 1.68, 2.45), women from communities with high literacy level (AOR 1.16, 95% CI 1.05, 1.51) and women from communities with high wealth quintile (AOR 1.20, 95% CI 1.03,1.57) had higher odds of VCT uptake. However, those women having stigma (AOR 0.81, 95% CI 0.74, 0.92) had reduced odds of VCT uptake. CONCLUSION: This study revealed that not only individual level factors but also community level factors determine the status of HIV voluntary counseling and testing. Hence, strengthening both individual and community based interventions are crucial to increase the women HIV counseling and testing practice in the country.

Socioeconomic inequality in barriers for accessing health care among married reproductive aged women in sub-Saharan African countries: a decomposition analysis.

BACKGROUND: Accessibility of health care is an essential for promoting healthy life, preventing diseases and deaths, and enhancing health equity for all. Barriers in accessing health care among reproductive-age women creates the first and the third delay for maternal mortality and leads to the occurrence of preventable complications related to pregnancy and childbirth. Studies revealed that barriers for accessing health care are concentrated among individuals with poor socioeconomic status which creates health inequality despite many international organizations top priority is enhancing universal health coverage. Therefore, this study aimed to assess the presence of socioeconomic inequality in barriers for accessing health care and its contributors in Sub-Saharan African countries. METHODS: The most recent DHS data of 33 sub-Saharan African countries from 2010 to 2020 were used. A total sample of 278,501 married reproductive aged were included in the study. Erreygers normalized concentration index (ECI) and its concentration curve were used while assessing the socioeconomic-related inequality in barriers for accessing health care. A decomposition analysis was performed to identify factors contributing for the socioeconomic-related inequality. RESULTS: The weighted Erreygers normalized Concentration Index (ECI) for barriers in accessing health care was - 0.289 with Standard error = 0.005 (P value < 0.0001); indicating that barriers in accessing health care was disproportionately concentrated among the poor. The decomposition analysis revealed that wealth index (42.58%), place of residency (36.42%), husband educational level (5.98%), women educational level (6.34%), and mass media exposure (3.07%) were the major contributors for the pro-poor socioeconomic inequalities in barriers for accessing health care. CONCLUSION: In this study, there is a pro-poor inequality in barriers for accessing health care. There is a need to intensify programs that improve wealth status, education level of the population, and mass media coverage to tackle the barriers for accessing health care among the poor.

Prevalence and factors associated with unintended pregnancy among adolescent girls and young women in sub-Saharan Africa, a multilevel analysis.

BACKGROUND: Unintended pregnancy predisposes women to unsafe abortion, malnutrition, mental illness, and even death. Though adolescent girls and young women are at higher risk of unintended pregnancy, there is a paucity of evidence in its burden and associated factors in sub-Saharan Africa. Therefore, this study aimed to assess the prevalence and factors associated with unintended pregnancy among adolescent girls and young women in sub-Saharan Africa. METHOD: This study was a secondary data analysis of 36 sub-Saharan African countries with a total weighted sample of 17,797 adolescent girls and young women. A multilevel logistic regression model was fitted and, the Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was reported to assess the association between the independent variables and unintended pregnancy in Sub-Saharan Africa. RESULT: The pooled prevalence of unintended pregnancy in sub-Saharan Africa was 30.01 with 95% CI (29.38-30.74). In multivariable multilevel logistic regression analysis, adolescent girls, and young women with higher education (AOR = 0.71 95%CI 0.52-0.97), those who know modern contraceptive methods (AOR = 0.86 95%CI 0.75-0.98), and traditional contraceptive methods (AOR = 0.90, 95%CI 0.59-0.95), married (AOR = 0.80, 95%CI 0.73-0.88), those from female-headed households (AOR = 0.86,95%CI 0.78-0.94), had lower odds of unintended pregnancy. Whereas adolescent girls and young women from Central Africa (AOR = 2.09,95%CI 1.23-3.55), southern Africa (AOR = 5.23, 95%CI 2.71-10.09), and Eastern Africa (AOR = 1.07,95%CI 1.07-2.66) had higher odds of unintended pregnancy. CONCLUSION: Prevalence of unintended pregnancy in Sub-Saharan Africa is high. Therefore, educating adolescent girls and young women, and improving their knowledge about family planning services is vital. It is also better for the government of countries in sub-Saharan Africa and other global and local stakeholders to work hard to ensure universal access to sexual and reproductive healthcare services, including family planning, education, and the integration of reproductive health into national strategies and programs to reduce unintended pregnancy.

Visual impairment and its predictors among people living with type 2 diabetes mellitus at Dessie town hospitals, Northeast Ethiopia: institution-based cross-sectional study.

BACKGROUND: Visual impairment is a functional limitation of the eye(s) that results in reduced visual acuity, visual field loss, visual distortion, perceptual difficulties, or any combination of the above. Type 2 diabetes mellitus is one of the common causes of visual impairment. Since there is no study conducted in Ethiopia so far in this regard, the current study aimed to determine the prevalence and predictors of visual impairment among people living with diabetes at Dessie town Hospitals, Northeast Ethiopia. METHODS: Institution based cross-sectional study was carried out from 15 February to 15 March 2020 using simple random sampling to recruit study participants among type 2 diabetes. Visual impairment was measured using visual acuity test. We used Epi Data 3.1 and SPSS version 22 for data entry and statistical analysis, respectively. Bi-variable binary logistic regression was performed to check independent association of each factor with visual impairment. After selecting candidate variables at p < 0.25, we computed multivariable binary logistic regression to identify statistically associated factors of visual impairment. The degree of association was determined using adjusted odds ratio with 95%CI. In the final model, statistical significance was declared at p < 0.05. RESULTS: Three hundred and twenty-two people living with T2DM participated in this study with 97% response rate. The prevalence of visual impairment was 37.58% (95% CI: 32.3, 42.9). Age (AOR: 1.06, 95% CI: 1.02, 1.09, p < or = 0.001), poor regular exercise (AOR = 2.91, 95%CI: 1.47-5.76, p < or = 0.001), duration of DM above 5 years (AOR = 2.42, 95% CI: 1.25-4.73, p < or = 0.01), insulin treatment (AOR = 14.05, 95% CI: 2.72, 72.35, p < or = 0.01), and poor glycemic control (AOR = 2.17, 95% CI: 1.13-4.14, p < 0.05) were statistically associated with visual impairment. CONCLUSION: The prevalence of visual impairment in Dessie town hospitals accounted for more than a third of patients living with T2DM. Visual impairment is associated with increased age, poor regular exercise, longer duration of DM, and insulin treatment. Thus, early detection of VI through screening and regular follow-up is recommended to reduce the risk of VI and vision loss.

Factors associated with decision-making power of married women to use family planning in sub-Saharan Africa: a multilevel analysis of demographic health surveys.

BACKGROUND: In sub-Saharan Africa, there are several socio-economic and cultural factors which affect women's ability to make decision regarding their own health including the use of contraceptives. Therefore, the main aim of this study was to determine factors associated with decision-making power of married women to use family planning service (contraceptives) in sub-Saharan Africa. METHODS: The appended, most recent demographic and health survey datasets of 35 sub-Saharan countries were used. A total weighted sample of 83,882 women were included in the study. Both bivariable and multivariable multilevel logistic regression were done to determine the associated factors of decision-making power of married women to use family planning service in sub-Saharan countries. The Odds Ratio (OR) with a 95% Confidence Interval (CI) was calculated for those potential variables included in the final model. RESULTS: Married women with primary education (AOR = 1.24; CI:1.16,1.32), secondary education (AOR = 1.31; CI:1.22,1.41), higher education (AOR = 1.36; CI:1.20,1.53), media exposure (AOR = 1.08; CI: 1.03, 1.13), currently working (AOR = 1.27; CI: 1.20, 1.33), 1-3 antenatal care visits (AOR = 1.12; CI:1.05,1.20), ≥ 4 ANC visits (AOR = 1.14;CI:1.07,1.21), informed about family planning (AOR = 1.09; CI: 1.04, 1.15), having less than 3 children (AOR = 1.12; CI: 1.02, 1.23) and 3-5 children (AOR = 1.08; CI: 1.01, 1.16) had higher odds of decision-making power to use family planning. Mothers who are 15-19 (AOR = 0.61; CI: 0.52, 0.72), 20-24 (AOR = 0.69; CI: 0.60, 0.79), 25-29 (AOR = 0.74; CI: 0.66, 0.84), and 30-34 years of age (AOR = 0.82; CI: 0.73, 0.92) had reduced odds off decision-making power to use family planning as compared to their counterparts. CONCLUSION: Age, women's level of education, occupation of women and their husbands, wealth index, media exposure, ANC visit, fertility preference, husband's desire in terms of number of children, region and information about family planning were factors associated with decision-making power to use family planning among married women.

Understanding the rural-urban disparity in acute respiratory infection symptoms among under-five children in Sub-Saharan Africa: a multivariate decomposition analysis.

BACKGROUND: Acute Respiratory Infections (ARIs) account for more than 6% of the worldwide disease burden in children under the age of five, with the majority occurring in Sub-Saharan Africa. Rural children are more vulnerable to and disproportionately affected by ARIs. As a result, we examined the rural-urban disparity in the prevalence of ARI symptoms and associated factors among children under the age of five in Sub-Saharan Africa. METHODS: We used the most recent Demographic and Health Survey (DHS) data from 36 countries in Sub-Saharan Africa. The study included 199,130 weighted samples in total. To identify variables associated with ARIs symptoms, a multilevel binary logistic regression model was fitted. The Adjusted Odds Ratio (AOR) with a 95% CI was used to determine the statistical significance and strength of the association. To explain the rural-urban disparity in ARI prevalence, a logit-based multivariate decomposition analysis was used. RESULTS: Being female, ever breastfeeding, belonging to a poorer, better wealth status, and having better maternal educational status were significantly associated with lower odds of ARIs among under-five children. Whereas, small size or large size at birth, not taking vitamin A supplementation, being severely underweight, having diarrhea, didn't have media exposure, never had the vaccination, being aged 36-47 months, and being aged 48-59 months were significantly associated with higher odds of ARIs among under-five children. The multivariate decomposition analysis revealed that the difference in characteristics (endowment) across residences explained 64.7% of the overall rural-urban difference in the prevalence of ARIs, while the difference in the effect of characteristics (change in coefficient) explained 35.3%. CONCLUSION: This study found that rural children were highly affected by ARIs in SSA. To reduce the excess ARIs in rural children, public health interventions aimed at impoverished households, home births, and unvaccinated and malnourished children are crucial.

Prevalence and associated factors of adolescent pregnancy (15-19 years) in East Africa: a multilevel analysis.

BACKGROUND: Adolescent pregnancy is a major public health problem both in developed and developing countries with huge consequences to maternal health and pregnancy outcomes. However, there is limited evidence on the prevalence and associated factors of adolescent pregnancy in East Africa. Therefore, this study aimed to investigate the prevalence and associated factors of adolescent pregnancy in Eastern Africa. METHOD: The most recent Demographic and Health Survey (DHS) datasets of the 12 East African countries were used. A total weighted sample of 17, 234 adolescent girls who ever had sex was included. A multilevel binary logistic regression analysis was fitted to identify the significantly associated factors of adolescent pregnancy. Finally, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to declare the factors that are significantly associated with adolescent pregnancy. RESULTS: The overall prevalence of adolescent pregnancy in East Africa was 54.6% (95%CI: 53.85, 55.34%). In the multivariable multilevel analysis; being age 18-19 years [AOR = 3.06; 95%CI: 2.83, 3.31], using contraceptive [AOR = 1.41; 95%CI: 1.28, 1.55], being employed girls [AOR = 1.11; 95%CI: 1.03, 1.19], being spouse/head within the family [AOR = 1.62; 95% CI: 1.45, 1.82], and being from higher community level contraceptive utilization [AOR = 1.10; 95%CI:1.02, 1.19] were associated with higher odds of adolescent pregnancy. While adolescent girls attained secondary education and higher [AOR = 0.78; 95%CI: 0.68, 0.91], initiation of sex at age of 15 to 14 years [AOR = 0.69; 95%CI: 0.63, 0.75] and 18 to 19 years [AOR = 0.31; 95%CI: 0.27, 0.35], being unmarried [AOR = 0.25; 95%CI: 0.23, 0.28], having media exposure [AOR = 0.85; 95%CI: 0.78, 0.92], and being girls from rich household [AOR = 0.64; 95%CI: 0.58, 0.71] were associated with lower odds of adolescent pregnancy. CONCLUSION: This study found that adolescent pregnancy remains a common health care problem in East Africa. Age, contraceptive utilization, marital status, working status, household wealth status, community-level contraceptive utilization, age at initiation of sex, media exposure, educational level and relation to the household head were associated with adolescent pregnancy. Therefore, designing public health interventions targeting higher risk adolescent girls such as those from the poorest household through enhancing maternal education and empowerment is vital to reduce adolescent pregnancy and its complications.

Individual and community level factors associated with delayed first postnatal care attendance among reproductive age group women in Ethiopia.

BACKGROUND: Postnatal care (PNC) visits provide a huge benefit for ensuring appropriate breastfeeding practices, to monitor the overall health status of the newborn, to timely diagnose and intervene birth-related complications, and to plan future family planning options. Despite delayed PNC attendance have a great impact on the survival of the mother and the newborn it still receives less emphasis. As a result, most mothers do not receive PNC services early. We, therefore, aimed to determine individual and community level factors associated with delayed first Postnatal Care attendance among reproductive age group women in Ethiopia. METHODS: We used the most recent Ethiopian Demographic and Health Survey (EDHS 2016) data to determine associated factors of delayed first PNC in Ethiopia. A weighted sample of 4308 women with a live birth in the two years preceding the survey was included. A multilevel logistic regression analysis was used to analyze the data. Variables with p-value < 0.05 in the multivariable multilevel logistic regression analysis were declared significantly associated with delayed first PNC attendance. RESULTS: In this study, both individual level and community level factors were associated with delayed PNC attendance. Among the individual level factors: having four or more antenatal care visit [Adjusted Odd Ratio (AOR) = 0.73; 95% CI: 0.59, 0.92], delivery at a health facility [AOR = 0.04; 95% CI: 0.03, 0.05], and perceiving distance from the health facility as not a big problem [AOR = 0.73; 95% CI: 0.58, 0.91] were associated with lower odds of delayed first PNC attendance. Of community level factors: being in Oromia [AOR = 2.31; 95% CI: 1.38, 3.83] and Gambela [AOR = 2.01; 95% CI: 1.13, 3.56] regions were associated higher odds of delayed first PNC attendance. CONCLUSIONS: Both individual level and community level factors were found to be associated with delayed PNC attendance. Strengthening antenatal care utilization, institutional delivery, and appropriate distributions of maternal health services in each region and areas far apart from the health facility are recommended.

Preterm birth and its associated factors among reproductive aged women in sub-Saharan Africa: evidence from the recent demographic and health surveys of sub-Sharan African countries.

BACKGROUND: Globally, preterm birth is the leading cause of neonatal and under-five children mortality. Sub-Saharan African (SSA) accounts for the majority of preterm birth and death following its complications. Despite this, there is limited evidence about the pooled prevalence and associated factors of preterm birth at SSA level using nation-wide representative large dataset. Therefore, this study aimed to determine the pooled prevalence and associated factors of preterm birth among reproductive aged women. METHODS: The recent Demographic and Health Surveys (DHSs) data of 36 SSA countries were used. We included a total weighted sample of 172,774 reproductive-aged women who were giving birth within five years preceding the most recent survey of SSA countries were included in the analysis. We used a multilevel logistic regression model to identify the associated factors of preterm birth in SSA. We considered a statistical significance at a p-value less than 0.05. RESULTS: In this study, 5.33% (95% CI: 5.23, 5.44%) of respondents in SSA had delivered preterm baby. Being form eastern Africa, southern Africa, rural area, being educated, substance use, having multiple pregnancy, currently working history, having history of terminated pregnancy, and previous cesarean section delivery, primi-parity, and short birth interval were associated with higher odds of preterm birth among reproductive aged women. However, having better wealth index, being married, wanted pregnancy, and having four or more antenatal care visit were associated with lower odds for a preterm birth among reproductive aged women. CONCLUSION: The prevalence of preterm birth among reproductive-aged women remains a major public health problem in SSA. Preterm birth was affected by various socio-economic and obstetrical factors. Therefore, it is better to consider the high-risk groups during intervention to prevent the short-term and long-term consequences of preterm birth.

Spatial clusters distribution and modelling of health care autonomy among reproductive-age women in Ethiopia: spatial and mixed-effect logistic regression analysis.

BACKGROUND: While millions of women in many African countries have little autonomy in health care decision-making, in most low and middle-income countries, including Ethiopia, it has been poorly studied. Hence, it is important to have evidence on the factors associated with women's health care decision making autonomy and the spatial distribution across the country. Therefore, this study aimed to investigate the spatial clusters distribution and modelling of health care autonomy among reproductive-age women in Ethiopia. METHODS: We used the 2016 Ethiopian Demographic and Health Survey (EDHS) data for this study. The data were weighted for design and representativeness using strata, weighting variable, and primary sampling unit to get a reliable estimate. A total weighted sample of 10,223 married reproductive-age women were included in this study. For the spatial analysis, Arc-GIS version 10.6 was used to explore the spatial distribution of women health care decision making and spatial scan statistical analysis to identify hotspot areas. Considering the hierarchical nature of EDHS data, a generalized linear mixed-effect model (mixed-effect logistic regression) was fitted to identify significant determinants of women's health care decision making autonomy. The Intra-Class Correlation (ICC) were estimated in the null model to estimate the clustering effect. For model comparison, deviance (-2LLR), Akakie Information Criteria (AIC), and Bayesian Information Criteria (BIC) parameters were used to choose the best-fitted model. Variables with a p-value < 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multivariable mixed-effect logistic regression analysis, the Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to declare the strength and significance of the association between women's decision-making autonomy and independent variables. RESULTS: In this study, about 81.6% (95% CI: 80.6%, 82.2%) of women have autonomy in making health care decisions. The spatial distribution of women's autonomy in making health decisions in Ethiopia was non-random (global Moran's I = 0.0675, p < 0.001). The significant hotspot areas of poor women's autonomy in making health care decisions were found in north Somali, Afar, south Oromia, southwest Somali, Harari, and east Southern Nations Nationalities and Peoples (SNNP) regions. In the mixed-effect logistic regression analysis; being urban (AOR = 1.59, 95% CI: 1.04, 2.45), having secondary education (AOR = 1.60, 95% CI: 1.06, 2.41), having an occupation (AOR = 1.19, 95% CI: 1.01, 1.40) and being from the richest household (AOR = 2.14, 95% CI: 1.45, 3.14) were significantly associated with women autonomy in deciding for health care. CONCLUSIONS: The spatial distribution of women's autonomy in making the decision for health care was non-random in Ethiopia. Maternal education, residence, household wealth status, region, and maternal occupation were found to influence women's autonomy. Public health interventions targeting the hotspot areas of poor women autonomy through enhancing maternal occupation and employment is needed to improve women empowerment in making decisions for health care.

Spatial Distribution and Determinants of Early Marriage among Married Women in Ethiopia: A spatial and Multilevel Analysis.

BACKGROUND: Early marriage is a global public health problem that is mainly practiced in South Asia, Latin America, and sub-Saharan Africa including Ethiopia. It raises the risk of early childbearing of women, higher rates of divorce, and an increased risk of maternal and child death. However, little is known about the spatial distribution and determinants of early marriage in Ethiopia. Therefore, this study aimed to assess the spatial distribution and determinants of early marriage among ever-married women in Ethiopia. METHODS: A detailed analysis of the 2016 Ethiopian Demographic and Health Survey data was conducted. A total weighted sample of 11,646 reproductive-age married women were included in the analysis. To identify significant hotspot areas of early marriage the Bernoulli model was fitted using SaTScan version 9.6 software. Additionally, to explore the spatial distributions of early marriage across the country ArcGIS version 10.1 statistical software was used. For the determinant factors, the multilevel logistic regression model was fitted. Deviance was used for model comparison and checking of model fitness. In the multivariable multilevel analysis, Adjusted Odds Ratio (AOR) with 95% CI was used to declare significant determinants of early marriage. RESULTS: The finding of this study revealed that the spatial distribution of early marriage was significantly varied across the country with Global Moran's I = 0.719 and p value < 0.001. The primary clusters were detected in Tigray, Amhara, and Afar regions. Both individual and community-level factors were associated with early marriage. Having no formal education (AOR = 4.25, 95% CI 3.13-5.66), primary education (AOR = 3.37, 95% CI 2.80-4.92), secondary education (AOR = 1.75, 95% CI 1.32-2.33), and a decision made by parents (AOR = 1.88, 95% CI 1.68-2.09) were individual-level factors associated with higher odds of early marriage. Among the community-level factors, the region was significantly associated with early marriage. Thus, living in Afar (AOR = 1.82, 95%CI 1.37-2.42), Amhara (AOR = 1.77, 95% CI 1.38-2.77), and Gambela (AOR = 1.44, 95% CI 1.09-190) was associated with higher odds of early marriage. Whereas, living in Addis Ababa (AOR = 0.50, 95% CI 0.36-0.68) was associated with a lower chance of early marriage. CONCLUSION: The spatial distribution of early marriage was significantly varied in Ethiopia. Women's education, women's autonomy, and region were found to be the significant determinants of early marriage. Therefore, public health interventions targeting those identified significant hotspot areas of early marriage are crucial to reduce the incidence of early marriage and its consequence. In addition, enhancing women's education and empowering them to make their own choices are vital for changing the customs of the community and eliminating early marriage in Ethiopia.

Spatial distribution and determinants of household iodized salt utilization in Ethiopia: a spatial and multilevel analysis of Ethiopian demographic and Health survey.

BACKGROUND: Iodine deficiency disorder is a significant public health problem, affecting both developed and developing nations worldwide. It is associated with poor body growth and irreversible mental retardation. However, little is known about the spatial distribution and determinants of household iodized salt utilization in Ethiopia. Therefore, this study aimed to explore the spatial distribution and determinants of iodized salt utilization at national level. METHODS: Ethiopian Demographic and Health Survey 2016 data was used to investigate the spatial distribution and determinants of household iodized salt utilization in Ethiopia. ArcGIS 10.6 and SaTScan™ version 9.6 software were used to explore the spatial distribution and detect significant clusters, respectively. The odds ratio with its 95% confidence interval (CI) was determined for potential determinants included in the multivariable multilevel logistic regression model. RESULTS: Household iodized salt utilization was spatially clustered in Ethiopia (Moran's Index = 0.076, p-value = 0.01). The significant hotspot areas with high iodized salt utilization were located in Benishangul, Amhara, Gambella, Tigray and Northwest Oromia regions. Significant cold spot areas (areas with low iodized salt utilization) were found in Somali, and East Afar regions. Those households with higher education level ((Adjusted Odds Ratio [AOR] =1.49, 95% CI =1.14-1.93), high community level education (AOR = 1.51, 95% CI = 1.03-2.20), middle wealth index (AOR = 1.31, 95% CI = 1.04-1.65) and high community media exposure (AOR = 1.52, 95% CI = 1.07-2.17) had higher odds of iodized salt utilization. CONCLUSIONS: Household iodized salt utilization had significant spatial variation across the country. Both household and community level variables were found to be associated with household iodized salt utilization in Ethiopia. Therefore, increasing the education level, wealth status and community media exposure is recommended to improve iodized salt utilization in a country. A targeted intervention is also needed for those regions with low household iodized salt utilization.

Exploring spatial variations and factors associated with skilled birth attendant delivery in Ethiopia: geographically weighted regression and multilevel analysis.

BACKGROUND: Skilled birth attendant (SBA) delivery is vital for the health of mothers and newborns, as most maternal and newborn deaths occur at the time of childbirth or immediately after birth. This problem becomes worsen in Ethiopia in which only 28% of women give birth with the help of SBA. Therefore, this study aimed to explore the spatial variations of SBA delivery and its associated factors in Ethiopia. METHODS: A secondary analysis was carried out using the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 11,023 women who had a live birth in the 5 years preceding the survey was included in the analysis. Arc-GIS software was used to explore the spatial distribution of SBA and a Bernoulli model was fitted using SaTScan software to identify significant clusters of non-SBA delivery. The Geographic Weighted Regression (GWR) was employed in modeling spatial relationships. Moreover, a multilevel binary logistic regression model was fitted to identify factors associated with SBA delivery. RESULTS: In this study, SBA delivery had spatial variations across the country. The SaTScan spatial analysis identified the primary clusters' spatial window in southeastern Oromia and almost the entire Somalia. The GWR analysis identified different predictors of non- SBA delivery across regions of Ethiopia. In the multilevel analysis, mothers having primary and above educational status, health insurance coverage, and mothers from households with higher wealth status had higher odds of SBA delivery. Being multi and grand multiparous, perception of distance from the health facility as big problem, rural residence, women residing in communities with medium and higher poverty level, and women residing in communities with higher childcare burden had lower odds of SBA delivery. CONCLUSION: Skilled birth attendant delivery had spatial variations across the country. Areas with non-skilled birth attendant delivery and mothers who had no formal education, not health insured, mothers from poor households and communities, Primiparous women, mothers from remote areas, and mothers from communities with higher childcare burden could get special attention in terms of allocation of resources including skilled human power, and improved access to health facilities.

Trends and Spatio-temporal variation of female genital mutilation among reproductive-age women in Ethiopia: a Spatio-temporal and multivariate decomposition analysis of Ethiopian demographic and health surveys.

BACKGROUND: Female genital mutilation (FGM) is a serious health problem globally with various health, social and psychological consequences for women. In Ethiopia, the prevalence of female genital mutilation varied across different regions of the country. Therefore, this study aimed to investigate the trend and determinants of female genital mutilation among reproductive-age women over time. METHODS: A secondary data analysis was done using 2000, 2005, and 2016 Demographic Health Surveys (DHSs) of Ethiopia. A total weighted sample of 36,685 reproductive-age women was included for analysis from these three EDHS Surveys. Logit based multivariate decomposition analysis was employed for identifying factors contributing to the decrease in FGM over time. The Bernoulli model was fitted using spatial scan statistics version 9.6 to identify hotspot areas of FGM, and ArcGIS version 10.6 was applied to explore the spatial distribution FGM across the country. RESULTS: The trends of FGM practice has been decreased from 79.9% in 2000 to 70.4% in 2016 with an annual reduction rate of 0.8%. The multivariate decomposition analysis revealed that about 95% of the overall decrease in FGM practice from 2000 to 2016 was due to the difference in the effects of women's characteristics between the surveys. The difference in the effects of residence, religion, occupation, education, and media exposure were significant predictors that contributed to the decrease in FGM over time. The spatial distribution of FGM showed variation across the country. The SaTScan analysis identified significant hotspot areas of FGM in Somali, Harari, and Afar regions consistently over the three surveys. CONCLUSION: Female genital mutilation practice has shown a remarkable decrease over time in Ethiopia. Public health programs targeting rural, non-educated, unemployed, and those women with no access to media would be helpful to maintain the decreasing trend of FGM practice. The significant Spatio-temporal clustering of FGM was observed across regions in Ethiopia. Public health interventions must target the identified clusters as well.

Poor sleep quality and associated factors among healthcare professionals at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia.

Background: Poor sleep quality is linked to physiological dysfunction, which increases the risk of obesity, cardiovascular disease, cognitive impairment, and other medical conditions. Despite the known health risks of sleep disturbances, literature is still scant regarding sleep quality and its associated factors among healthcare professionals in Ethiopia. Therefore, this study aimed to determine the prevalence of poor sleep quality and its associated factors among healthcare professionals at the University of Gondar Comprehensive Specialized Hospital. Methods: An institution-based cross-sectional study was conducted at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. A total of 418 healthcare professionals participated in the study. The study participants were chosen using the stratified random sampling method. Data were collected using a structured, self-administered questionnaire. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality of participants. Bi-variable and multivariable logistic regression models were used. p ≤ 0.05 was used to declare statistically significant variables. Results: The mean age of the study participants was 30.7 years (SD ± 6.3). The overall prevalence of poor sleep quality was 58.9% [95% CI (54.2, 63.6%)]. Being female [adjusted odds ratio (AOR) = 1.9, 95% CI (1.2, 2.9)], being a shift worker [AOR = 5.7, 95% CI (2.3, 14.3), not performing regular exercise [AOR = 2.08 (1.2-3.6)], being a khat chewer [AOR = 3.1, 95% CI (1.2, 7.6)], and having depressive symptoms [AOR = 2.6, 95% CI (1.3, 6.8)] were significantly associated with higher odds of having poor sleep quality. Conclusion: The prevalence of poor sleep quality among healthcare professionals was found to be high. As a result, we recommend that healthcare providers at the University of Gondar Comprehensive Specialized Hospital focus on early regular screening for sleep disturbances and pay special attention to shift work schedules and behaviors such as khat chewing, exercise, and depressive symptoms.

Assessing the effects of duration of birth interval on adverse pregnancy outcomes in sub-Saharan Africa: a propensity score-matched analysis.

OBJECTIVES: Unlike high-income countries, sub-Saharan African countries have the highest burden of adverse pregnancy outcomes such as abortion, stillbirth, low birth weight and preterm births. The WHO set optimal birth spacing as a key strategy to improve pregnancy outcomes. Estimating the impact of short and long birth intervals on adverse pregnancy outcomes based on an observational study like the Demographic and Health Survey (DHS) is prone to selection bias. Therefore, we used the propensity score-matched (PSM) analysis to estimate the actual impact of short and long birth intervals on adverse pregnancy outcomes. DESIGN: A community-based cross-sectional study was conducted based on the DHS data. SETTING: We used the recent DHS data of 36 sub-Saharan African countries. PARTICIPANTS: A total of 302 580 pregnant women for stillbirth and abortion, 153 431 for birth weight and 115 556 births for preterm births were considered. PRIMARY OUTCOME MEASURES: To estimate the impact of duration of birth interval (short/long) on adverse pregnancy outcomes, we used PSM analysis with logit model using psmatch2 ate STATA command to find average treatment effect on the population (ATE), treated and untreated. The quality of matching was assessed statistically and graphically. Sensitivity analysis was conducted to test the robustness of the PSM estimates using the Mantel-Haenszel test statistic. RESULTS: The prevalence of short and long birth intervals in sub-Saharan Africa was 46.85% and 13.61%, respectively. The prevalence rates of abortion, stillbirth, low birth weight, macrosomia, and preterm births were 6.11%, 0.84%, 9.63%, 9.04%, and 4.87%, respectively. In the PSM analysis, the differences in ATE of short birth intervals on abortion, stillbirth, low birth weight, and preterm births were 0.5%, 0.1%, 0.2%, and 0.4%, respectively, and -2.6% for macrosomia. The difference in ATE among the treated group was 1%, 1%, and 1.1% increased risk of abortion, low birth weight, and preterm births, respectively, while there was no difference in risk of stillbirth between the treated and control groups. The ATEs of long birth intervals on abortion, stillbirth, low birth weight, macrosomia and preterm births were 1.3%, 0.4%, 1.0%, 3.4%, and 0.2%, respectively. The ATE on the treated group had 0.9%, 0.4%, 2.4%, 2.8%, and 0.2% increased risk of abortion, stillbirth, low birth weight, macrosomia, and preterm births, respectively. The estimates were insensitive to hidden bias and had a good quality of matching. CONCLUSION: Short and long birth intervals had a significant positive impact on stillbirth, abortion, low birth weight, macrosomia and preterm births after matching treated and control groups by observed variables. These findings highlighted maternal and newborn healthcare programmes and policies to empower reproductive-aged women to exercise optimal birth spacing to reduce the incidence of stillbirth, abortion, low birth weight, macrosomia and preterm births.