Cervical cancer screening and its associated factors among women of reproductive age in Kenya: further analysis of Kenyan demographic and health survey 2022.

INTRODUCTION: Although cervical cancer screening is one of the most effective strategies to reduce the incidence and mortality of cervical cancer, the percentage of cervical cancer screening in low- and middle-income counties is low. In Kenya, the current nationwide prevalence and associated factors for the detection of cervical cancer is unknown. Therefore, this study aimed to assess the prevalence and associated factors for the detection of cervical cancer screening among women of reproductive age in Kenya using the Kenyan Demographic and Health Survey 2022. METHODS: This study used the most recent Kenyan Demographic and Health Survey data (2022) with a total weighted sample of 16,901 women. A mixed effects logistic regression analysis was performed and in the multivariable analysis, variables with a p-value below 0.05 were considered statistically significant. The strength of the association was evaluated using adjusted odds ratios along with their corresponding 95% confidence intervals. RESULTS: The prevalence of cervical cancer screening in Kenya was 16.81%(95% CI: 16.24, 17.38%). Having a history of abortion (AOR = 1.33, 95% CI: 1.171.50, 1.43), using modern contraceptive methods (AOR = 1.57, 95% CI: 1.25, 1.95), media exposure (AOR = 1.31, 95%CI: 1.03, 1.65), primary education (AOR = 1.56, 95%CI: 1.09, 2.22), secondary education (AOR = 21.99, 95% CI: 1.1.38, 2.87), higher education (AOR = 2..50, 95% CI: 1.71, 3.65), visiting health facility within the past 12 months (AOR = 1.61, 95%CI: 1.46, 1.79), positive HIV status (AOR: 3.50, 95% CI: 2.69, 4.57), being from a community with a higher proportion of educated individuals (AOR = 1.37, 95%CI: 1.13, 1.65) and being from a community with high proportion of poor individuals (AOR = 0.72, 9 5%CI: 0.60-0.87)) were significantly associated with cervical cancer screening. CONCLUSION: In Kenya, the prevalence of cervical cancer screening was found to be low. A history of abortion, use of modern contraceptives, exposure to the media, visits to health facilities in the past 12 months, HIV status, level of education, community educational level, and community wealth were identified as significant associated factors for cervical cancer screening. Therefore, it is recommended to implement targeted public health interventions that focus on these identified factors to improve the adoption of cervical cancer screening in Kenya.

Magnitude of sugar-sweetened beverage consumption and associated factors among women aged 15-49 years old in two Sub-Saharan African countries.

BACKGROUND: The consumption of Sugar-Sweetened Beverages (SSBs) has been linked to the global epidemic of obesity and chronic disease. Following the economic growth, urbanization, and attractive market for beverage companies, the consumption of SSBs is a rising public health challenge in low and middle-income countries. Hence, this study aimed to assess the magnitude of SSBs consumption and associated factors among women of reproductive age group in two SSA countries. METHODS: This cross-sectional study used data from Integrated Public Use Micro Data Series-Performance Monitoring for Action (IPUMS-PMA) with a total sample of 3759 women aged 15-49 years old in Burkina Faso and Kenya. The data was collected on June - August 2018 in Burkina Faso, and May -August 2018 in Kenya. SSBs consumption was measured by asking a woman if she drank SSBs yesterday during the day or night, whether at home or anywhere else. A mixed-effect logistic regression model was employed to identify associated factors. RESULT: Half (50.38%) [95%CI; 46.04, 54.71] of women consumed SSBs. Sociodemographic characteristics like primary education (AOR = 1.35; 95%CI: 1.05-1.74), secondary education (AOR = 1.46; 95%CI: 1.13-1.90), being employed (AOR = 1.28; 95%CI: 1.05-1.56),and dietary characteristics like consumption of savory and fried snack (AOR = 1.61; 95%CI = 1.24-2.09), achieved minimum dietary diversity (AOR = 1.67; 95%CI: 1.38-2.01), moderate household food insecurity (AOR = 0.74, 95% CI: 0.58, 0.95), and sever household food insecurity (AOR = 0.71, 95% CI: 0.56, 0.89) had significant statistical association with SSBs consumption. CONCLUSION: Consumption of SSBs among women in two Sub-Saharan African countries (Burkina Faso and Kenya) is high. Having higher educational status, being employed, achieved minimum dietary diversity, and having low/no household food in-security were found to be significantly associated with SSBs compared with their counterparts. We recommend for further study in other African countries using objective measurements of SSBs consumption.

Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset.

Unmet need for contraceptives is a public health issue globally that affects maternal and child health. Reducing unmet need reduces the risk of abortion or childbearing by preventing unintended pregnancy. The unmet need for family planning is a frequently used indicator for monitoring family planning programs. This study aimed to identify predictors of unmet need for family planning using advanced machine learning modeling on recent PMA 2019 survey data. The study was conducted using secondary data from PMA Ethiopia 2019 cross-sectional household and female survey which was carried out from September 2019 to December 2019. Eight machine learning classifiers were employed on a total weighted sample of 5819 women and evaluated using performance metrics to predict and identify important predictors of unmet need of family planning with Python 3.10 version software. Data preparation techniques such as removing outliers, handling missing values, handling unbalanced categories, feature engineering, and data splitting were applied to smooth the data for further analysis. Finally, Shapley Additive exPlanations (SHAP) analysis was used to identify the top predictors of unmet need and explain the contribution of the predictors on the model's output. Random Forest was the best predictive model with a performance of 85% accuracy and 0.93 area under the curve on balanced training data through tenfold cross-validation. The SHAP analysis based on random forest model revealed that husband/partner disapproval to use family planning, number of household members, women education being primary, being from Amhara region, and previously delivered in health facility were the top important predictors of unmet need for family planning in Ethiopia. Findings from this study suggest various sociocultural and economic factors might be considered while implementing health policies intended to decrease unmet needs for family planning in Ethiopia. In particular, the husband's/partner's involvement in family planning sessions should be emphasized as it has a significant impact on women's demand for contraceptives.

Iron-rich food consumption and associated factors among children aged 6-23 months in Sierra Leone: multi-level logistic regression analysis.

BACKGROUND: Iron deficiency is the most common micronutrient deficiency worldwide. Also, iron deficiency is a significant public health problem in low- and middle-income countries. Thus, this study aimed to assess iron-rich food consumption and associated factors among children aged 6-23 months in Sierra Leone. METHOD: This study is a cross-sectional study based on data from the Sierra Leone Demographic and Health Survey dataset with a total weighted sample of 2622 children aged 6-23 months. Data cleaning, coding, and labeling were done using STATA version 14 software. A multilevel logistic regression model was employed to identify associated factors. RESULT: Almost half (53.38%) of children aged between 6-23 months consumed iron-rich foods. The odds of iron rich food consumption were high among children in the age group of 12-17 months (AOR = 4.81, 95% CI: 3.67, 6.31) and 18-23 months (AOR = 9.3, 95% CI: 6.55, 13.2), and who fed minimum acceptable diet (AOR = 22.5, 95% CI: 11.65, 43.46). Moreover, a child from a mother who had work (AOR = 1.49, 95% CI: 1.08, 2.06), and with a mother who had more than four ANC visits during her pregnancy of the most recent live birth (AOR = 1.87; 95%CI: 1.36-2.55) had higher odds of iron-rich food consumption compared to their counterparts. On the other hand, children who were breastfeeding (AOR = 0.72, 95% CI: 0.53, 0.97), and mothers aged 15-19 (AOR = 0.48, 95% CI: 0.27, 0.85) decreased the odds of iron rich food consumption. CONCLUSION: Consumption of iron-rich food is low among children aged 6-23 months in Sierra Leone. Iron-rich food consumption among children was significantly associated with maternal occupation, child's age, child's breastfeeding status, taking drugs for intestinal parasites, minimum acceptable diet, frequency, and timing of ANC, and region. Thus, special emphasis should be given to those children aged between 6-11 months, currently breastfeeding, children who did not get the minimum acceptable diet, and children from women who did not have work.

Utilization and factors associated with health facility delivery among women of reproductive age in rural Ethiopia: Mixed effect logistic regression analysis.

BACKGROUND: Worldwide over 800 women lose their life each day from complication in pregnancy and child birth. Health facility delivery is one of the key strategies for reducing maternal mortality and for ensuring safe birth. Inequity by urban-rural residence is one of the most pronounced challenges in maternal health service coverage with women living in rural areas at a greater disadvantage than other women. This study aims to assess the magnitude and factors affecting the utilization of health facility delivery for the most recent live birth among women of reproductive age in rural Ethiopia. METHODS: This is a cross-sectional study based on a data from Ethiopian Mini Demographic and Health Survey 2019 dataset with a total weighted sample of 2900 women of reproductive age group in rural Ethiopia. Data cleaning, coding and labeling were done using STATA version 14 software. Multilevel mixed effect logistic regression model was employed to identify associated factors. RESULT: Only 44% of reproductive-age women in rural Ethiopia gave their most recent live birth in health institutions. In the multivariable multilevel binary logistic regression analysis; educational status, wealth index, attending 4+ANC, and had ANC from skilled provider were found to be statistically significant factors associated with health facility delivery. CONCLUSION: In a rural part of Ethiopia, the prevalence of institutional delivery is low. Especial emphasis should be given for mothers with no formal education, and poor household wealth index, Furthermore, implementing public health programs that target to enable women to have more frequent Antenatal Care follow-up from skilled providers may increase the number of health facility deliveries.

Zero fruits/vegetables consumption and associated factors among Children aged 6-23 months in Ethiopia: Mixed effect logistic regression analysis.

BACKGROUND: The first two years of life is a vital period for promoting optimal growth, development and health. The lifelong nutritional habit and overall health of children is influenced by their early age feeding practice. Ethiopia is among the top five countries in Sub-Saharan Africa with the highest burden of zero fruits/vegetables consumption. This study aims to access factors associated with zero fruits/vegetables consumption among children aged 6-23 months in Ethiopia. METHODS: The study analyzed Ethiopian Mini Demographic and Health Survey 2019 dataset with a total weighted sample of 1459 young children aged between 6-23 months and who were living with their mothers. Data cleaning, coding and labeling were done using STATA version 14 software. Multilevel mixed effect logistic regression model was employed to identify associated factors. RESULTS: Exactly 69.3% of children aged 6-23 months in Ethiopia had zero fruits/vegetables consumption. In the multivariable multilevel binary logistic regression analysis a child from household with middle (AOR = 0.55, 95% CI: 0.35, 0.86) and rich (AOR = 0.37, 95% CI: 0.23, 0.60) wealth index, mothers who aged between 25-34 years old (AOR = 0.44; 95%CI = 0.29-0.69), mothers who were married/living with partner (AOR = 3.21; 95%CI: 1.58-6.52), children of mothers who follow Islamic religion (AOR = 0.34, 95% CI: 0.19, 0.61), mothers who had more than four ANC visits during their most recent pregnancy (AOR = 0.57; 95%CI: 0.39-0.83), children in age group of 12-18 month(AOR = 0.41, 95% CI: 0.28, 0.59), and 19-23 months (AOR = 0.26, 95% CI: 0.17, 0.40), health facility delivery (AOR = 1.52, 95% CI; 1.00-2.30), and small peripheral regions (AOR = 4.40, 95% CI; 1.39-13.97) were found to be significant factors associated with children's zero fruits /vegetables consumption. The Interclass correlation coefficient (ICC) value in the null model was 0.34, which indicates that 34% of the variation in children's zero fruits /vegetables consumption was attributed to the variation between clusters. CONCLUSION: This study found that zero fruits/vegetables consumption among children aged 6-23 months in Ethiopia is high. Therefore, efforts should be made by stakeholders who are concerned about optimal diet and health of children to improve fruits/vegetables consumption of children particularly those from poor households, young mothers (15-24), and peripheral regions of Ethiopia. This could be done during ANC follow up visits and during nutrition counseling.