Spatial Variation and Determinants of Inadequate Minimum Meal Frequency among Children Aged 6-23 Months in Ethiopia: Spatial and multilevel analysis using Ethiopian Mini Demographic and Health Survey (EMDHS) 2019.

Introduction: Minimum meal frequency is the number of times children eat in a day. Without adequate meal frequency, infants and young children are prone to malnutrition. There is little information on the spatial distribution and determinants of inadequate meal frequency at the national level. Therefore, we aimed to investigate the spatial distribution and determinants of inadequate meal frequency among young children in Ethiopia. Methods: The most recent Ethiopian demographic and health survey data was used. The analysis was conducted using a weighted sample of 1,610 children aged 6-23 months old. The Global Moran's I was estimated to assess the regional variation in minimum meal frequency. Further, a multivariable multilevel logistic regression model was fitted to identify factors associated with inadequate meal frequency. The AOR (adjusted odds ratio) at 95% CI (confidence interval) was computed to assess the strength and significance of the relationship between explanatory variables and the outcome variable. Factors with a p-value of <0.05 are declared statistically significant. Results: This study revealed that the prevalence of inadequate meal frequency was found to be 30.56% (95% CI: 28.33-32.88). We identified statistically significant clusters of high inadequate meal frequency, notably observed in Somalia, northern Amhara, the eastern part of southern nations and nationalities, and the southwestern Oromia regions. Child age, antenatal care (ANC) visit, marital status, and community level illiteracy were significant factors that were associated with inadequate meal frequency. Conclusion: According to the study findings, the proportion of inadequate meal frequency among young children in Ethiopia was higher and also distributed non-randomly across Ethiopian regions. As a result, policymakers and other concerned bodies should prioritize risky areas in designing intervention. Thus, special attention should be given to the Somalia region, the northern part of Amhara, the eastern part of Southern nations and nationalities, and southwestern Oromia.

Association of anaemia with indoor air pollution among older Indian adult population: multilevel modelling analysis of nationally representative cross-sectional study.

INTRODUCTION: Anaemia is a disease of public health importance with multi-causal pathways. Previous literature suggests the role of indoor air pollution (IAP) on haemoglobin levels, but this has been studied less due to logistic constraints. A high proportion of the population in developing countries, including India, still depends on unclean fuel, which exacerbates IAP. The objective was to study the association between anaemia and IAP among the older Indian adult population (≥ 45 years) as per gender. METHODS: Our study analysed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017-18, Wave-1). We have documented the association of anaemia (outcome variable) with IAP (explanatory variable). To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was conducted. States and union territories were categorised cross tabulated as low, middle and high as per anaemia and IAP exposure. P value < 0.05 was considered statistically significant. SATA version 17 was used for analysis. RESULTS: More than half (52.52%) of the participants were exposed to IAP (male (53.55%) > female (51.63%)). The odds of having anaemia was significantly 1.19 times higher (AOR 1.19 (1.09-1.31)) among participants using unclean/ solid fuel. The adjusted odds were significantly higher among participants exposed to pollution-generating sources (AOR 1.30; 1.18-1.43), and household indoor smoking (AOR 1.17 (1.07-1.29). The odds of having anaemia were significantly higher (AOR 1.26; 1.15-1.38) among participants exposed to IAP, which was higher in males (AOR 1.36; 1.15-1.61) than females (AOR 1.21; 1.08-1.35). Empowered Action Group (EAG) states like Uttar Pradesh, Chhattisgarh, Madhya Pradesh, Bihar had both high anaemia and IAP exposure. CONCLUSION: This study established the positive association of anaemia with indoor air pollution among older Indian adults through a nationally representative large dataset. The association was higher among men. Further research is recommended to understand detailed causation and to establish temporality. It is a high time to implement positive intervention nationally to decrease solid/ unclean fuel usage, vulnerable ventilation, indoor smoking, IAP and health hazards associated with these with more focused actions towards EAG states.

Spatial distribution of inadequate meal frequency and its associated factors among children aged 6-23 months in Ethiopia: Multilevel and spatial analysis.

INTRODUCTION: More than two-third of global child death is occurred due to inappropriate feeding practice that happened during early childhood period. Evidence on meal frequency status among infant and young children at national level can be used to design appropriate interventions to improve the recommended feeding frequency. Therefore, this study was aimed to explore the spatial distribution and identify associated factors of inadequate meal frequency among children aged 6-23 months in Ethiopia. METHODS: Secondary data analysis was conducted using the 2019 mini Ethiopian Demographic and Health Survey data. A total weighted sample of 1,532 children aged 6-23 months were included. To identify significant factors associated with of inadequate meal frequency, multilevel binary logistic regression model was fitted. Variables with p-value < 0.25 from the bi-variable model were exported to multivariable analysis. In the multivariable model, variables with p-value < 0.05 were declared as significantly associated factors and adjusted odds ratio (AOR) with its 95% confidence interval were reported. Multilevel models were compared using deviance and log-likelihood. Spatial analysis tools were utilized to visualize the distribution of inadequate meal frequency. Bernoulli model was fitted using SaTScan V.9.6 to identify most likely clusters and ArcGIS V.10.8 was used to map the hotspot areas. Ordinary least square and geographic weighted regression models were used and compared using information criteria and adjusted-R2. Local coefficients of factors associated with hotspots of inadequate meal frequency were mapped. RESULTS: The prevalence of inadequate meal frequency was 47.03% (95% CI: 44.54%, 49.53%) in Ethiopia. Age of the child, sex of the household head, timely initiation of breastfeeding, current breastfeeding status, number of antenatal care visit, maternal education, and region were significantly associated with inadequate meal frequency. The spatial distribution of inadequate meal frequency was showed significant variation across Ethiopia (Global Moran's I = 0.164, p-value <0.001). A total of 38 significant clusters were detected through SaTScan analysis, from these the 22 primary clusters were located in Somali and Harari. CONCLUSION AND RECOMMENDATION: The prevalence of inadequate meal frequency was high in Ethiopia and had significant clustering patter. Significant hotspot clusters were located in Somali, northern Afar, Harari, Amhara, Gambela, and eastern South nation nationalities and peoples' region. Therefore, public health interventions which enhance breastfeeding practice, optimal number of antenatal care visits, educational empowerments should target hotspot areas to decrease inadequate meal frequency practice.

Intersectional inequalities in health anxiety: multilevel analysis of individual heterogeneity and discriminatory accuracy in the SOMA.SOC study.

Background: Intersectional approaches are needed to disaggregate the complex interaction of social identities contributing to (mental) health disparities. Health anxiety represents an overlooked public mental health issue. Therefore, intersectional inequalities in health anxiety were examined using multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). Methods: Analyses are based on cross-sectional data of the adult population living in Germany (N = 2,413). Health anxiety was assessed with the Whiteley Index-7. Applying intersectional MAIHDA, health anxiety in the intersectional strata of gender, history of migration, and income was predicted. Discriminatory accuracy was assessed via the intra-class correlation and the proportional change in variance. Results: Analyses revealed additive social inequalities in health anxiety with greatest impact of low income but no clear intersectional gradient. Most affected by health anxiety were females who immigrated themselves with low income, males whose parent(s) immigrated with low income, and males who immigrated themselves with medium income. Conclusion: Intersectional approaches contribute to a more comprehensive understanding of (mental) health disparities. In addition to general efforts to counteract health inequalities, combining universal screening and targeted psychotherapeutic treatment seems promising to specifically reduce inequalities in health anxiety.

Analysis of factors associated with admission to the intensive care unit of children and adolescents with COVID-19: application of a multilevel model.

OBJECTIVE: To identify factors associated with hospitalization in the intensive care unit in children and adolescents with COVID-19. METHODS: This was a retrospective cohort study using secondary data of hospitalized children and adolescents (zero to 18 years old) with COVID-19 reported in Paraíba from April 2020 to July 2021, totaling 486 records. Descriptive analysis, logistic regression and multilevel regression were performed, utilizing a significance level of 5%. RESULTS: According to logistic regression without hierarchical levels, there was an increased chance of admission to the intensive care unit for male patients (OR = 1.98; 95%CI 1.18 - 3.32), patients with respiratory distress (OR = 2.43; 95%CI 1.29 - 4.56), patients with dyspnea (OR = 3.57; 95%CI 1.77 - 7.18) and patients living in large cities (OR = 2.70; 95%CI 1.07 - 6.77). The likelihood of requiring intensive care was observed to decrease with increasing age (OR = 0.94; 95%CI = 0.90 - 0.97), the presence of cough (OR = 0.32; 95%CI 0.18 - 0.59) or fever (OR = 0.42; 95%CI 0.23 - 0.74) and increasing Gini index (OR = 0.003; 95%CI 0.000 - 0.243). According to the multilevel analysis, the odds of admission to the intensive care unit increased in male patients (OR = 1.70; 95%CI = 1.68-1.71) and with increasing population size of the municipality per 100,000 inhabitants (OR = 1.01; 95%CI 1.01-1.03); additionally, the odds of admission to the intensive care unit decreased for mixed-race versus non-brown-skinned patients (OR = 0.981; 95%CI 0.97 - 0.99) and increasing Gini index (OR = 0.02; 95%CI 0.02 - 0.02). CONCLUSION: The effects of patient characteristics and social context on the need for intensive care in children and adolescents with SARS-CoV-2 infection were better estimated with the inclusion of a multilevel regression model.

The impact of deprivation on colorectal cancer-stage distribution in a setting with high hospital bed density: A Japanese multilevel study.

BACKGROUND: A methodology for determining the appropriate balance between medical access and combating poverty remains undetermined. To address the boundary conditions for exceedingly good medical access, this study examined whether the impact of deprivation on cancer stage distribution could be eliminated in Japan, which has the highest hospital bed density in the world. METHODS: A nationwide medical claims-based database was used to evaluate the influence of municipality-level hospital bed density and the postal code-level areal deprivation index on cancer stage at diagnosis. Given the limited number of similar studies in Japan, we focused on colorectal cancer (CRC), for which disparities have been reported in a prefecture-level study. Multilevel multivariate logistic regression models were used, with odds ratios (ORs) and 95% confidence intervals (CIs) adjusted for baseline and socioeconomic factors. RESULTS: Regardless of the early/advanced-stage definitions, CRC consistently tended to be detected at more advanced stages in more deprived areas. In the analysis of stages 0-I/II-IV, the OR (95% CI) was 1.09 (1.05, 1.14) (p < 0.001). In the analyses of stages 0-I/II-IV and 0-II/III-IV, gradients were observed, and later detections were observed for more deprived segments. Hospital bed density was not significantly associated with the stage distribution. CONCLUSION: The results indicate that inequalities in CRC detection due to deprivation persist even in the country with the highest hospital bed density worldwide, suggesting that poverty measures remain indispensable regardless of hospital bed access. Further investigation of various regions and cancers is required to develop a practical framework.

Spatial distribution and determinants of measles vaccination dropout among under-five children in Ethiopia: A spatial and multilevel analysis of 2019 Ethiopian demographic and health survey.

BACKGROUND: Each year, vaccine-preventable diseases cost the lives of 8.8 million under-five children. Although vaccination prevents 1-2 million childhood deaths worldwide, measles vaccination dropouts are not well studied in developing countries, particularly in Ethiopia. Therefore, this study aims to assess the spatial distribution of the measles vaccination dropout and its determinants among under-five children in Ethiopia. METHODS: Data from Ethiopian Demographic and Health Survey 2019 was used for data analysis. The study used a total of 5,753 children. Spatial autocorrelations was used to determine the spatial dependency of measles vaccination dropout. Ordinary interpolation was employed to forecast measles vaccination dropout. Factors associated with measles vaccination dropout were declared significant at p-values <0.05. The data were interpreted using the confidence interval and adjusted odds ratio. A model with the lowest deviance and highest logliklihood ratio was selected as the best-fit model. RESULTS: In Ethiopia, one in three under-five children had measles vaccination dropouts. Factors such as birth interval (AOR = 1.87, 95% CI: 1.30, 2.70), unmarried marital status women (AOR = 3.98, 95% CI: 1.08, 8.45), ≤1 number of under-five children (AOR = 3.86, 95% CI: 2.56, 5.81), rural place of residence (AOR = 2.43, 95% CI: 2.29, 3.11), low community-level ANC utilization (AOR = 3.20, 95% CI: 2.53, 3.56), and residing in Benishangul Gumuz (AOR = 1.80, 95% CI: 1.061, 3.06) had higher odds of measles vaccination dropout. CONCLUSIONS: Measles vaccination dropout rates in Ethiopia among under-five children were high compared to the maximum tolerable vaccination dropout level of 10% by the WHO. Both individual and community-level variables were determinants of measles vaccination dropout. The ministry of health in Ethiopia should give attention to those mothers of under-five children who reported underutilization of ANC services and rural residences while designing policies and strategies in areas of high spatial clustering of vaccine dropout in Ethiopia.

Prevalence and associated risk factors for men being paid for sex in Ethiopia: a multilevel analysis of 2016 Ethiopian demographic health survey data.

Paying for sex is considered a high-risk sexual behavior, especially among men. Men who pay for sex are perceived to be a bridge group for sexually transmitted illnesses. In sub-Saharan Africa, the prevalence of paid sex among men is approximately 4.3%. Men paid for sex are not studied in Ethiopia. Therefore, the objective of this study was to identify factors associated with men paying for sex in Ethiopia. We analyzed data from the 2016 Ethiopian Demographic Health Survey. In the analysis, 9070 men were included. To identify factors associated with paid-for sex among men, we used a multilevel logistic regression model. A p value less than 0.05 was considered to indicate statistical significance at the 95% confidence interval (CI). In this study, 509 (5.6%) men were ever paid for sex. Men who paid for sex were significantly more likely to be rich [Adjusted Odds Ratio (AOR) = 1.70; 95% CI 1.287, 2.246], widowed or separated (AOR = 1.97; 95% CI 1.142, 3.396), had more sexual partners [AOR = 1.03; 95% CI 1.005, 1.063], had ever been tested for human immunodeficiency virus (HIV) (AOR = 1.50; 95% CI 1.173, 1.916), drank alcohol (AOR = 4.15; 95% CI 3.086, 5.576), and chewing khat (AOR = 2.28; 95% CI 1.822, 2.85); men who had ever paid for sex were significantly less likely to have higher education (AOR = .63; 95% CI .438, .898) and the lowest age at first sex (AOR = .90; 95% CI .870, .924). In conclusion, educational level, wealth status, province, marital status, age at first sexual intercourse, number of sexual partners, HIV status, alcohol consumption status, and chewing khat were significantly associated with men's paid-for sex. From a public and sexual health perspective, more education is needed for illiterate, widowed, separated, and rich men. Additionally, preventive measures should be taken against men's behavior through the use of alcohol or khat, having many sexual partners, and having young men.

Multilevel analysis of healthcare utilization for childhood diarrhea in high under five mortality countries.

Globally, 4.9 million under-five deaths occurred before celebrating their fifth birthday. Four in five under-five deaths were recorded in sub-Saharan Africa and Southern Asia. Childhood diarrhea is one of the leading causes of death and is accountable for killing around 443,832 children every year. Despite healthcare utilization for childhood diarrhea has a significant effect on the reduction of childhood mortality and morbidity, most children die due to delays in seeking healthcare. Therefore, this study aimed to assess healthcare utilization for childhood diarrhea in the top high under-five mortality countries. This study used secondary data from 2013/14 to 2019 demographic and health surveys of 4 top high under-five mortality countries. A total weighted sample of 7254 mothers of under-five children was included. A multilevel binary logistic regression was employed to identify the associated factors of healthcare utilization for childhood diarrhea. The statistical significance was declared at a p-value less than 0.05 with a 95% confidence interval. The overall magnitude of healthcare utilization for childhood diarrhea in the top high under-five mortality countries was 58.40% (95% CI 57.26%, 59.53%). Partner/husband educational status, household wealth index, media exposure, information about oral rehydration, and place of delivery were the positive while the number of living children were the negative predictors of healthcare utilization for childhood diarrhea in top high under-five mortality countries. Besides, living in different countries compared to Guinea was also an associated factor for healthcare utilization for childhood diarrhea. More than four in ten children didn't receive health care for childhood diarrhea in top high under-five mortality countries. Thus, to increase healthcare utilization for childhood diarrhea, health managers and policymakers should develop strategies to improve the household wealth status for those with poor household wealth index. The decision-makers and program planners should also work on media exposure and increase access to education. Further research including the perceived severity of illness and ORS knowledge-related factors of healthcare utilization for childhood diarrhea should also be considered by other researchers.

Retention rate of vaccination card and its associated factors among vaccinated children aged 12─23 months in Ethiopia: Multilevel logistic regression analysis.

BACKGROUND: Vaccine card is a crucial tool for gauging vaccine coverage. It is imperative to hold these health cards to have well-fitted data which are crucial in reaching data-driven decisions in the era of immunization surveillance and monitoring processes. However, there is limited knowledge about the retention rate of vaccination card and its associated factors in Ethiopia. OBJECTIVE: This research aimed to assess the retention rate and associated factors of vaccination card in Ethiopia, using data from the 2016 Ethiopian demographic health survey. METHODS: This study included a total of 1304 (weighted) children aged 12─23 months who were vaccinated and provided with a vaccination card. We used a multilevel logistic regression model to analyze factors associated with vaccination card retention. We considered factors to be statistically significant if they had a p-value of less than 0.05 with a respective 95% confidence interval. RESULT: Among the cohort of 1,304 immunized children, it was observed that 684, representing 52.5% (95% CI: 49.7%─55.2%), were able to present their respective vaccination card during the interview time. According to the results of the multilevel logistic analysis, there is a considerable reduction in the rate of vaccination card retention by 65% (adjusted OR 0.35, 95% CI: 0.19─0.65) and 37% (adjusted OR 0.63, 95% CI: 0.4─0.91) for individuals who are rural residents and those who are fully vaccinated, respectively. Furthermore, it is noteworthy to mention that individuals originating from socio-economic backgrounds with low poverty levels exhibit a 59% increase in vaccination card possession (adjusted OR 1.59, 95% CI: 1.11─2.50). CONCLUSION: This study revealed a low rate of holding vaccination cards. Place of residency, wealth status, and vaccination status were factors that contributed to the change in the vaccination card retention rate. It is advisable to customize the interventional strategy by taking into account the individual's residency, immunization status, and degree of poverty within the community, to achieve a favorable rate of holding vaccination cards.

Pooled prevalence, spatial variation and associated factors of HIV testing uptake among multiple sexual partners in Sub Saharan Africa: Spatial and multilevel analysis.

BACKGROUND: Uptake of HIV testing is vital for the early diagnosis of HIV infection and initiation of treatment, which are used to eliminate the disease's progression and reduce HIV-related mortality. Even if determining HIV testing is imperative to prevent HIV/AIDS among multiple sexual partners who are at higher risk of sexually transmitted infections, most of the countries in Sub Saharan Africa did not fulfil the global targets of UNAIDS. Moreover there is a paucity of literature on spatial variation and factors associated with HIV testing among high-risk groups in SSA. This study aimed to assess the pooled prevalence, spatial variation and determinants of HIV testing uptake among multiple sexual partners in Sub Saharan Africa. METHODS: The Demographic and Health Surveys data conducted between 2011 and 2021 in 30 Sub-Saharan Africa countries was used to analyze total weighted sample of 56,210 multiple sexual partners. Exploratory spatial data analysis, with countries as the unit of analysis was conducted using ArcGIS V10.7.1 and Sat Scan V 10.1 soft wares. A multilevel binary logistic regression model was used to identify the factors associated with the HIV testing uptake. The Adjusted odds Ratio with a 95% confidence interval was reported to declare the strength of association and their statistical significance. RESULTS: The spatial patterns of HIV testing uptake were found to be non-random. Primary clusters were identified around western and central sub- regions. Multiple sexual partners who were ever married, those attended primary level and above education, those from rich wealth status, aged above 24 years, having good HIV related knowledge, and exposed to media were positive association with HIV testing uptake. However, being male, having working status and living in rural area were negatively associated with HIV testing uptake. At the community-level, multiple sexual partners from communities in Eastern and southern sub regions, countries with upper middle income and countries with the survey year after 2014 were more likely to utilize HIV testing services compared with their counterparts. CONCLUSION: In this study, the pooled prevalence of the HIV testing uptake among multiple sexual partners was found to be lower than the universal target and showed differences in HIV testing uptake across Sub-Saharan Africa region. Both individual and community-level factors affected HIV testing uptake among multiple sexual partners. Stakeholders should implement interventions to help increase the uptake of HIV testing among those risky groups in this region.

Does School Health Promotion Have Additional Value for Educational Performance? A Repeated Cross-Sectional Multilevel Study.

Little information is available regarding the influence of the interplay between the school context and school health promotion on educational performance. Therefore, we examined whether the variation between primary and secondary schools regarding the educational performance of students could be explained by general school characteristics, school population characteristics, and school health promotion and to what extent these factors interact. We performed multilevel analyses using existing data on 7021 primary schools and 1315 secondary schools in the Netherlands from the school years 2010-2011 till 2018-2019. Our outcomes were the final test score from primary education and the average grade of standardized final exams from secondary education. School health promotion was operationalized as having obtained Healthy School (HS) certification. For the test score, 7.17% of the total variation was accounted for by differences at the school level and 4.02% for the average grade. For both outcomes, the percentage of disadvantaged students in a school explained most variation. HS certification did not explain variation, but moderated some associations. We found small to moderate differences between schools regarding educational performance. Compositional differences of school populations, especially socioeconomic status, seemed more important in explaining variation in educational performance than general school characteristics and HS certification. Some associations were moderated by HS certification, but differences remained small in most cases.

Minimum milk feeding frequency and its associated factors among non-breastfed children aged 6-23 months in sub-saharan Africa: a multilevel analysis of the recent demographic and health survey data.

BACKGROUND: Poor infant and child feeding practices, in combination with increased rates of infectious diseases, are the main immediate causes of malnutrition during the first two years of life. Non-breastfed children require milk and other dairy products, as they are rich sources of calcium and other nutrients. As far as our search is concerned, there is no evidence on the pooled magnitude and determinants of minimum milk feeding frequency among non-breastfed children in sub-Saharan Africa conducted using the most recent indicators for assessing infant and young child feeding practices published in 2021. Therefore, this study is intended to determine the magnitude and associated factors of minimum milk feeding frequency among non-breastfed children aged 6-23 months in sub-Saharan Africa using the most recent guideline and demographic and health survey dataset. METHODS: Data from the most recent health and demographic surveys, which were carried out between 2015 and 2022 in 20 sub-Saharan African countries, were used. The study comprised a weighted sample consisting of 13,315 non-breastfed children between the ages of 6 and 23 months. STATA/SE version 14.0 statistical software was used to clean, recode, and analyze data that had been taken from DHS data sets. Utilizing multilevel mixed-effects logistic regression, the factors associated with the outcome variable were identified. Model comparison and fitness were assessed using deviance (-2LLR), likelihood ratio test, median odds ratio, and intra-class correlation coefficient. Finally, variables with a p-value < 0.05 and an adjusted odds ratio with a 95% confidence interval were declared statistically significant. RESULTS: The pooled magnitude of minimum milk feeding frequency among non-breastfed children aged 6-23 months in sub-Saharan African countries was 12.39% (95% CI: 11.85%, 12.97%). Factors like maternal educational level [AOR = 1.61; 95% CI (1.35, 1.91)], marital status of the mother [AOR = 0.77; 95% CI (0.67, 0.89)], maternal working status [AOR = 0.80; 95% CI (0.71, 0.91)], media exposure [AOR = 1.50; 95% CI (1.27, 1.77)], wealth index [AOR = 1.21; 95% CI (1.03, 1.42)], place of delivery [AOR = 1.45; 95% CI (1.22, 1.72)], ANC visit attended during pregnancy [AOR = 0.49; 95% CI (0.39, 0.62)], PNC checkup [AOR = 1.57; 95% CI (1.40, 1.76)], child's age [AOR = 0.70; 95% CI (0.53, 0.93)], and residence [AOR = 2.15; 95% CI (1.87, 2.46)] were significantly associated with minimum milk feeding frequency. CONCLUSIONS: In sub-Saharan Africa, the proportion of minimum milk feeding frequency among non-breastfed children aged between 6 and 23 months was low. The likelihood of minimum milk feeding frequency increases with high levels of education, unemployment, media exposure, rich wealth status, being unmarried, having a child born in a health facility, getting PNC checks, being between 6 and 8 months old, and living in an urban area. Hence, promoting women's education, increasing the economic status of the household, disseminating nutrition information through media, strengthening maternal health service utilization like health facility delivery and PNC services, and giving prior attention to mothers with older children and from rural areas are strongly recommended.

Bottle-feeding practice and its associated factors among mothers of children aged 0 to 23 months in sub-Saharan Africa: a multi-level analysis of demographic and health surveys (2015-2022).

BACKGROUND: Avoidance of bottle feeding is recommended as it interferes with optimal suckling behavior, is difficult to keep clean, and is an important route for the transmission of pathogens. However, there is a current shift towards breastfeeding for a short period and the introduction of bottle feeding in both the developed and developing worlds. Bottle-feeding practice and its individual- and community-level determinants are not addressed in sub-Saharan Africa. Therefore, this study aimed to fill this gap and assess the pooled prevalence and associated factors of bottle feeding among mothers of children less than 23 months of age. METHODS: Data from the recent demographic and health surveys of 20 countries in sub-Saharan Africa conducted between 2015 and 2022 were used. A total weighted sample of 86,619 mother-child pairs was included in the current study. Multilevel mixed-effects logistic regression was used to determine the factors associated with the outcome variable. Intra-class correlation coefficient, likelihood ratio test, median odds ratio, and deviance (-2LLR) values were used for model comparison and fitness. Finally, variables with a p-value < 0.05 and an adjusted odds ratio with a 95% confidence interval were declared statistically significant. RESULTS: The overall pooled prevalence of bottle feeding among mothers of children aged 0 to 23 months in sub-Saharan Africa was 13.74% (95% CI: 13.51%, 13.97%). Factors like maternal age [AOR = 1.09; 95% CI (1.04, 1.14)], educational status [AOR = 2.83; 95% CI (2.58, 3.10)], marital status [AOR = 1.16; 95% CI (1.09, 1.24)], maternal occupation [AOR = 0.76; 95% CI (0.73, 0.79)], media exposure [AOR = 0.80; 95% CI (0.76, 0.85)], wealth index [AOR = 1.21; 95% CI (1.15, 1.29)], sex of the household head [AOR = 1.17; 95% CI (1.12, 1.24)], family size [AOR = 1.06; 95% CI (1.01, 1.12)], number of under-five children [AOR = 1.11; 95% CI (1.04, 1.19)], place of delivery [AOR = 1.06; 95% CI (1.00, 1.12)], mode of delivery [AOR = 1.41; 95% CI (1.31, 1.52)], counseling on breastfeeding [AOR = 0.88; 95% CI (0.84, 0.92)], age of the child [AOR = 1.65; 95% CI (1.57, 1.75)], and residence [AOR = 1.64; 95% CI (1.56, 1.72)] were significantly associated with bottle-feeding practices. CONCLUSION: Nearly one out of seven children aged 0 to 23 months received bottle feeding in sub-Saharan African countries. Older mothers, higher mothers' educational status, unmarried women, richest families, non-working mothers, exposed to media, female-headed households, large family size, having one under-five children, home delivery, cesarean delivery, children aged 6-11 months, and urban residence were significantly associated with an increased risk of bottle feeding. Breastfeeding promotion programs are advised to target mothers who are older, educated, working, rich, gave birth at home, have a large family size, are delivered by cesarean section, have children aged 6-11 months, and reside in urban areas to achieve a significant decrease in bottle feeding rates in sub-Saharan Africa.

Quality of hospital labour and delivery care: A multilevel analysis in Southern Nations and Nationalities People's Region of Ethiopia.

BACKGROUND: Ethiopia has one of the highest maternal mortality ratios in Africa. Few have examined the quality of labour and delivery (L&D) care in the country. This study evaluated the quality of routine L&D care and identified patient-level and hospital-level factors associated with the quality of care in a subset of government hospitals. MATERIALS AND METHODS: This was a facility-based, cross-sectional study using direct non-participant observation carried out in 2016. All mothers who received routine L&D care services at government hospitals (n = 20) in one of the populous regions of Ethiopia, Southern Nations Nationalities and People's Region (SNNPR), were included. Mixed effects multilevel linear regression modeling was employed in two stages using hospital as a random effect, with quality of L&D care as the outcome and selected patient and hospital characteristics as independent variables. Patient characteristics included woman's age, number of previous births, number of skilled attendants involved in care process, and presence of any danger sign in current pregnancy. Hospital characteristics included teaching hospital status, mean number of attended births in the previous year, number of fulltime skilled attendants in the L&D ward, whether the hospital had offered refresher training on L&D care in the previous 12 months, and the extent to which the hospital met the 2014 Ethiopian Ministry of Health standards regarding to resources available for providing quality of L&D care (measured on a 0-100% scale). These standards pertain to availability of human resource by category and training status, availability of essential drugs, supplies and equipment in L&D ward, availability of laboratory services and safe blood, and availability of essential guidelines for key L&D care processes. RESULTS: On average, the hospitals met two-thirds of the standards for L&D care quality, with substantial variation between hospitals (standard deviation 10.9 percentage points). While the highest performing hospital met 91.3% of standards, the lowest performing hospital met only 35.8% of the standards. Hospitals had the highest adherence to standards in the domain of immediate and essential newborn care practices (86.8%), followed by the domain of care during the second and third stages of labour (77.9%). Hospitals scored substantially lower in the domains of active management of third stage of labour (AMTSL) (42.2%), interpersonal communication (47.2%), and initial assessment of the woman in labour (59.6%). We found the quality of L&D care score was significantly higher for women who had a history of any danger sign (ß = 5.66; p-value = 0.001) and for women who were cared for at a teaching hospital (ß = 12.10; p-value = 0.005). Additionally, hospitals with lower volume and more resources available for L&D care (P-values < 0.01) had higher L&D quality scores. CONCLUSIONS: Overall, the quality of L&D care provided to labouring mothers at government hospitals in SNNPR was limited. Lack of adherence to standards in the areas of the critical tasks of initial assessment, AMTSL, interpersonal communication during L&D, and respect for women's preferences are especially concerning. Without greater attention to the quality of L&D care, regardless of how accessible hospital L&D care becomes, maternal and neonatal mortality rates are unlikely to decrease substantially.

Only 9% of mothers have eight and more ANC visit in 14 sub-saharan African countries; evidence from the most recent DHS 2018-2023: a multilevel analysis.

BACKGROUND: The world health organization's global health observatory defines maternal mortality as annual number of female deaths, regardless of the period or location of the pregnancy, from any cause related to or caused by pregnancy or its management (aside from accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy and an estimated 287 000 women worldwide passed away from maternal causes between 2016 and 2020, that works out to be about 800 deaths per day or about one every two minutes. METHOD: The most recent 2018-2023 DHS data set of 14 SSA countries was used a total of 89,489 weighted mothers who gave at list one live birth 3 years preceding the survey were included, a multilevel analysis was conducted. In the bi-variable analysis variables with p-value ≤ 0.20 were included in the multivariable analysis, and in the multivariable analysis, variables with p-value less than ≤ 0.05 were considered to be significant factors associated with having eight and more ANC visits. RESULT: The magnitude of having eight and more ANC visits in 14 sub-Saharan African countries was 8.9% (95% CI: 8.76-9.13) ranging from 3.66% (95% CI: 3.54-3.79) in Gabon to 18.92% (95% CI: 18.67-19.17) in Nigeria. The multilevel analysis shows that maternal age (40-44, AOR;2.09, 95%CI: 1.75-2.53), maternal occupational status (AOR;1.14, 95%CI; 1.07-1.22), maternal educational level (secondary and above, AOR;1.26, 95%CI; 1.16-1.38), wealth status(AOR;1.65, 95%CI; 1.50-1.82), media exposure (AOR;1.20, 95%CI; 1.11-1.31), pregnancy intention (AOR;1.12, 95%CI; 1.05-1.20), ever had terminated pregnancy (AOR;1.16 95%CI; 1.07-1.25), timely initiation of first ANC visit (AOR;4.79, 95%CI; 4.49-5.10), empowerment on respondents health care (AOR;1.43, 95%CI; 1.30-1.56), urban place of residence (AOR;1.33, 95%CI; 1.22-1.44) were factors highly influencing the utilization of AN. On the other hand higher birth order (AOR;0.54, 95%CI; 0.53-0.66), not using contraceptive (AOR;0.80, 95%CI; 0.75-0.86) and survey year (AOR;0.47, 95%CI; 0.34-0.65) were factors negatively associated with having eight and more ANC visits. CONCLUSION: In the 14 SSA included in this study, there is low adherence to WHO guidelines of eight and more ANC visits. Being educated, having jobs, getting access to media being from rural residence and rich wealth group contribute to having eight and more ANC visits, so we highly recommend policy implementers to advocate this practices.

Depressive symptoms of people living in areas with high exposure to environmental noise: a multilevel analysis.

Exposure and damage caused by noise have been reported in many countries around the world. However, few nationwide studies explored the association of residential environmental noise with depressive symptoms, this study aims to examine this association. The Korean Community Health Survey at the individual-level and the Korean Environmental Noise Measurement Database at the regional-level were used. A total of 30,630 individuals were eligible for the analysis. Multilevel model framework was applied to account for the clustered structure of the regional-level data in which individual-level data containing demographic characteristics and health information were nested. As a result of the analysis, Individuals living in the highest environmental noise area had a 1.55 times higher likelihood of experiencing depressive symptoms than those living in the lowest environmental noise area (95% CI, 1.04-2.31). After stratified analysis according to depressive symptom severity, individuals residing in areas with the highest environmental noise exposure had significantly higher odds of mild (aOR, 1.46; 95% CI, 1.02-2.07) and moderate symptoms (aOR, 1.70; 95% CI, 1.00-2.91). In conclusion, the higher the residential environmental noise, the higher the possibility of mild-to-moderate depressive symptoms. Our findings suggest the need for continued attention to and management of noise pollution, which has the potential to adversely affect individual's mental health.

Sustainability-oriented management in the SMEs. A multilevel analysis in the European Union.

This research focuses on SMEs in the EU and their acceptance of circular economy practices, with a special attention to the structural characteristics that might be significant drivers. Eight indicators of environmentally friendly practices are studied: water saving, energy saving, renewable energy, material saving, waste reduction, sale of waste materials, waste recycling, and eco-designed products. A sample of European SMEs from EU-28 data (countries at the time of the survey) is used to test hypotheses through eight multilevel probit regression models. Company- and country-level covariates are added to the multilevel models. The results showed that the number of employees, the business sector and the type of products/services sold have an impact on environmentally friendly practices. On the other hand, at the national level, per capita GDP and greenhouse gas emissions are the most relevant factors in the eight models. These findings are relevant for the implementation of the European Green Deal, which aims to increase resource efficiency through the transition to a cleaner EU and circular economy.

Forecasting the onset of depression with limited baseline data only: A comparison of a person-specific and a multilevel modeling based exponentially weighted moving average approach.

The onset of depressive episodes is preceded by changes in mean levels of affective experiences, which can be detected using the exponentially weighted moving average procedure on experience sampling method (ESM) data. Applying the exponentially weighted moving average procedure requires sufficient baseline data from the person under study in healthy times, which is needed to calculate a control limit for monitoring incoming ESM data. It is, however, not trivial to obtain sufficient baseline data from a single person. We therefore investigate whether historical ESM data from healthy individuals can help establish an adequate control limit for the person under study via multilevel modeling. Specifically, we focus on the case in which there is very little baseline data available of the person under study (i.e., up to 7 days). This multilevel approach is compared with the traditional, person-specific approach, where estimates are obtained using the person's available baseline data. Predictive performance in terms of Matthews correlation coefficient did not differ much between the approaches; however, the multilevel approach was more sensitive at detecting mean changes. This implies that for low-cost and nonharmful interventions, the multilevel approach may prove particularly beneficial. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Multilevel analysis of intimate partner violence and associated factors among reproductive-age women: Kenya demographic and health survey 2022 data.

INTRODUCTION: Intimate partner violence is a human rights violation that often involves violence against women, which appears to be the most prevalent type of abuse. Intimate partner violence is a major global public health issue that includes physical, emotional, and sexual violence. The prevalence of intimate partner violence in Africa is high. The burden of intimate partner violence among reproductive-age women is high in Kenya. Therefore, the main aim of this study is to determine the associated factors of intimate partner violence among reproductive-age women at the individual and community level from the recent Demographic and Health Survey (DHS) 2022 data of Kenya. METHODS: The Kenya National Demographic and Health Survey data of 2022 was used for this study. The overall sample size for this study was 14,612, which focused on women aged 15 to 49 years who had ever been partnered and responded to the domestic violence module. Multilevel logistic regression models to determine the prevalence and associated factors at the individual and community level with intimate partner violence with a 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR). RESULT: The overall prevalence of intimate partner violence was 41.1% with a 95% CI (40.07%, 42.60. Male-headed households, poorest and middle wealth status, partner alcohol use, separated/widowed current marital status, and low education of women were statistically significantly associated with intimate partner violence at the individual level variables in this study. CONCLUSIONS: The prevalence of intimate partner violence was high. Educating women, reducing partner alcohol use, and improving the economic status of women, were crucial in mitigating the burden of intimate partner violence. The intimate partners are supposed to respect the rights of women.