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.

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.
CONCLUSIONS: 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.

OBJECTIVE: Investigate individual and contextual determinants associated with traumatic dental injuries in schoolchildren.
METHODS: A cross-sectional study with 739 pairs of parents and children. Parents answered a sociodemographic questionnaire, the Family Adaptability and Cohesion Evaluation Scale and a questionnaire on the child\'s use of electronic devices. Examinations of the children were conducted at the school by calibrated examiners using the diagnostic criteria proposed by Andreasen. Contextual variables of the school were also collected. Multilevel Poisson regression for complex samples was performed (p < 0.05).
RESULTS: The individual factors associated with the outcome were children of single parents (PR = 2.33; 95% CI: 1.79-2.66), practice of sports (PR = 2.46; 95% CI: 1.70-3.22), the daily use of electronic devices (PR = 1.78; 95% CI: 1.31-1.81), more than 2 h per day of screen time (PR = 3.84; 95% CI: 1.94-4.28) and chaotic family adaptability (PR = 4.22; 95% CI: 3.44-4.99). The contextual variables were studying at a public school (PR = 1.77; 95% CI: 1.02-3.05) and the presence of rigid floor in the school courtyard (PR = 1.99; 95% CI: 1.15-3.15).
CONCLUSIONS: Individual determinants, studying at a public school and the presence of rigid floor in the school courtyard were associated with traumatic dental.

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.

UNASSIGNED: Immunization is one of the most cost-effective interventions, averting 3.5-5 million deaths every year worldwide. However, incomplete immunization remains a major public health concern, particularly in Ethiopia. The objective of this study is to investigate the geographical inequalities and determinants of incomplete immunization in Ethiopia.
UNASSIGNED: A secondary analysis of the mini-Ethiopian Demographic Health Survey (EDHS 2019) was performed, utilizing a weighted sample of 3,865 children aged 12-23 months. A spatial auto-correlation (Global Moran\'s I) statistic was computed using ArcGIS version 10.7.1 to assess the geographical distribution of incomplete immunization. Hot-spot (areas with a high proportion of incomplete immunization), and cold spot areas were identified through Getis-Ord Gi* hot spot analysis. Additionally, a Bernoulli probability-based spatial scan statistics was conducted in SaTScan version 9.6 software to determine purely statistically significant clusters of incomplete immunization. Finally, a multilevel fixed-effects logistic regression model was employed to identify factors determining the status of incomplete immunization.
UNASSIGNED: Overall, in Ethiopia, more than half (54%, 95% CI: 48-58%) of children aged 12-23 months were not fully immunized. The spatial analysis revealed that the distribution of incomplete immunization was highly clustered in certain areas of Ethiopia (Z-score value = 8.379419, p-value < 0.001). Hotspot areas of incomplete immunization were observed in the Afar, Somali, and southwestern parts of Ethiopia. The SaTScan spatial analysis detected a total of 55 statistically significant clusters of incomplete immunization, with the primary SaTScan cluster found in the Afar region (zones 1, 3, and 4), and the most likely secondary clusters detected in Jarar, Doola, Korahe, Shabelle, Nogob, and Afdar administrative zones of the Somali region of Ethiopia. Indeed, in the multilevel mixed-effect logistic regression analysis, the respondent\'s age (AOR: 0.92; 95% CI: 0.86-0.98), residence (AOR: 3.11, 95% CI: 1.36-7.14), living in a pastoralist region (AOR: 3.41; 95% CI: 1.29-9.00), educational status (AOR: 0.26; 95% CI: 0.08-0.88), place of delivery (AOR: 2.44; 95% CI: 1.15-5.16), and having PNC utilization status (AOR: 2.70; 95% CI: 1.4-5.29) were identified as significant predictors of incomplete immunization.
UNASSIGNED: In Ethiopia, incomplete immunization is not randomly distributed. Various factors at both individual and community levels significantly influence childhood immunization status in the country. It is crucial to reduce disparities in socio-demographic status through enhanced collaboration across multiple sectors and by bolstering the utilization of maternal health care services. This requires concerted efforts from stakeholders.

BACKGROUND: Diarrhea is considered to be one of the major public health concerns in developing countries. It has a detrimental impact, reflecting one of the highest child mortality rates globally, especially in Sub-Saharan Africa, where 2 out of every 10 children in Uganda under the age of five die. The objective of this study was to investigate the factors associated with time to treatment seeking by caretakers of children under-five with Diarrhea in Uganda.
METHODS: DOVE dataset of 745 caretakers in a prospective and retrospective incidence-based study using multi-stage sampling design was used in the assessment. The analysis was done using a time-to-event approach using life tables, Kaplan Meier survival analysis and multilevel proportional hazards model.
RESULTS: Kaplan-Meier survival analysis indicated the median time to seeking treatment among 745 caretakers of children under-Five after onset of diarrhea was 2 days. The multi-level proportional hazards model of a Weibull distribution showed that the estimated frailty variance was 0.13, indicating heterogeneity of treatment seeking time by caretakers of under-five children with diarrhea across regions in Uganda. Significant factors found to influence time to treatment-seeking by caretakers of children under-five with diarrhea were, male children (HR = 0.82; 95% CI = 0.71-0.95, p = 0.010), belonging to richest wealth quintile (HR = 1.37; 95% CI = 1.05-1.78, p = 0.022), and residing more than 5 km away from a health facility (HR = 0.68; 95% CI = 0.56-0.84, p = 0.000).
CONCLUSIONS: There are delays in seeking diarrhea treatment in Uganda because two days are enough to claim a life after dehydration.The policymakers should pay attention to formulate effective intervention to sensitize caregivers on the importance of early treatment-seeking behavior to avoid severe malnutrition caused by diarrhea. Community awareness program should also be encouraged particularly in areas of more than 5 km from the health facility to make people aware of the necessity to take prompt action to seek care in the early stage.

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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

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.
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 (β = 5.66; p-value = 0.001) and for women who were cared for at a teaching hospital (β = 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.

This study examined how race/ethnicity, sex/gender, and sexual orientation intersect under interlocking systems of oppression to socially pattern depression among US adults. With cross-sectional data from the 2015-2020 National Survey on Drug Use and Health (NSDUH; n=234,722), we conducted design-weighted multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) under an intersectional framework to predict past-year and lifetime major depressive episode (MDE). With 42 intersectional groups constructed from seven race/ethnicity, two sex/gender, and three sexual orientation categories, we estimated age-standardized prevalence and excess/reduced prevalence attributable to two-way or higher interaction effects. Models revealed heterogeneity across groups, with prevalence ranging from 1.9-19.7% (past-year) and 4.5-36.5% (lifetime). Approximately 12.7% (past-year) and 12.5% (lifetime) of total individual variance were attributable to between-group differences, indicating key relevance of intersectional groups in describing the population distribution of depression. Main effects indicated, on average, people who were White, women, gay/lesbian, or bisexual had greater odds of MDE. Main effects explained most between-group variance. Interaction effects (past-year: 10.1%; lifetime: 16.5%) indicated a further source of heterogeneity around averages with groups experiencing excess/reduced prevalence compared to main effects expectations. We extend the MAIHDA framework to calculate nationally representative estimates from complex sample survey data using design-weighted, Bayesian methods.

BACKGROUND: Stunting is still a major public health problem all over the world, it affecting more than one-third of under-five children in the world that leads to growth retardation, life-threatening complication and accelerate mortality and morbidity. The evidence is scarce on prevalence and associated factors of stunting among under-five children in Sub-Saharan Africa for incorporated intervention. Therefore this study aimed to investigate the prevalence and determinants of stunting among under-five children in Sub-Saharan Africa using recent demographic and health surveys of each country.
METHODS: This study was based on the most recent Demographic and Health Survey data of 36 sub-Saharan African countries. A total of 203,852(weighted sample) under-five children were included in the analysis. The multi-level ordinal logistic regression was fitted to identify determinants of stunting. Parallel line (proportional odds) assumption was cheeked by Brant test and it is satisfied (p-value = 0.68) which is greater than 0.05. Due to the nested nature of the dataset deviance was used model comparison rather than AIC and BIC. Finally the adjusted odds ratio (AOR) with 95% CI was reported identify statistical significant determinants of stunting among under-five children.
RESULTS: In this study, the prevalence of stunting among under-five children in Sub-Saharan Africa 34.04% (95% CI: 33.83%, 34.24%) with a large difference between specific countries which ranges from 16.14% in Gabon to 56.17% in Burundi. In the multi-level ordinal logistic regression good maternal education, born from mothers aged above 35 years, high household wealth status, small family size, being female child, being female household head, having media exposure and having consecutive ANC visit were significantly associated with lower odds of stunting. Whereas, living from rural residence, being 24-59 month children age, single or divorced marital status, higher birth order and having diarrhea in the last two weeks were significantly associated with higher odds of stunting.
CONCLUSIONS: Stunting among under-five children is still public health problem in Sub-Saharan Africa. Therefore designing interventions to address diarrhea and other infectious disease, improving the literacy level of the area and increase the economic level of the family to reduce the prevalence of stunting in the study area.