Background Current evidence on the decline in the prevalence of female genital mutilation or cutting (FGM/C) has been lacking worldwide. This study analyses the prevalence estimates and secular trends in FGM/C over sustained periods (ie, 1990–2017). Its aim is to provide analytical evidence on the changing prevalence of FGM/C over time among girls aged 0–14 years and examine geographical variations in low-income and middle-income countries. Methods Analysis on the shift in prevalence of FGM/C was undertaken using the Demographic Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) data sets from Africa and Middle East. A random-effects model was used to derive overall prevalence estimates. Using Poisson regression models, we conducted time trends analyses on the FGM/C prevalence estimates between 1990 and 2017. Findings We included 90 DHS and MICS data sets for 208 195 children (0–14 years) from 29 countries spread across Africa and two countries in Western Asia. The prevalence of FGM/C among children varied greatly between countries and regions and also within countries over the survey periods. The percentage decline in the prevalence of FGM/C among children aged 0–14 years old was highest in East Africa, followed by North and West Africa. The prevalence decreased from 71.4% in 1995 to 8.0% in 2016 in East Africa. In North Africa, the prevalence decreased from 57.7% in 1990 to 14.1% in 2015. In West Africa, the prevalence decreased from 73.6% in 1996 to 25.4% in 2017. The results of the trend analysis showed a significant shift downwards in the prevalence of FGM/C among children aged 0–14 years in such regions and subregions of East Africa, North Africa and West Africa. East Africa has experienced a much faster decrease in the prevalence of the practice (trend=−7.3%, 95% CI −7.5% to −7.1%) per year from 1995 to 2014. By contrast, the decline in prevalence has been much slower in North Africa (trend=−4.4%, 95% CI −4.5% to −4.3%) and West Africa (trend=−3.0%, 95% CI −3.1% to −2.9%). Conclusion The prevalence of FGM/C among children aged 0–14 years varied greatly between countries and regions and also within countries over the survey periods. There is evidence of huge and significant decline in the prevalence of FGM/C among children across countries and regions. There is a need to sustain comprehensive intervention efforts and further targeted efforts in countries and regions still showing high prevalence of FGM/C among children, where the practice is still pervasive.

What explains the underlying causes of rural–urban differentials in severe acute malnutrition (SAM) among under-five children is poorly exploited, operationalized, studied and understood in low- and middle-income countries (LMIC). We decomposed the rural–urban inequalities in the associated factors of SAM while controlling for individual, household, and neighbourhood factors using datasets from successive demographic and health survey conducted between 2010 and 2018 in 51 LMIC. The data consisted of 532,680 under-five children nested within 55,823 neighbourhoods across the 51 countries. We applied the Blinder–Oaxaca decomposition technique to quantify the contribution of various associated factors to the observed rural–urban disparities in SAM. In all, 69% of the children lived in rural areas, ranging from 16% in Gabon to 81% in Chad. The overall prevalence of SAM among rural children was 4.8% compared with 4.2% among urban children. SAM prevalence in rural areas was highest in Timor-Leste (11.1%) while the highest urban prevalence was in Honduras (8.5%). Nine countries had statistically significant pro-rural (significantly higher odds of SAM in rural areas) inequality while only Tajikistan and Malawi showed statistically significant pro-urban inequality (p < 0.05). Overall, neighbourhood socioeconomic status, wealth index, toilet types and sources of drinking water were the most significant contributors to pro-rural inequalities. Other contributors to the pro-rural inequalities are birth weight, maternal age and maternal education. Pro-urban inequalities were mostly affected by neighbourhood socioeconomic status and wealth index. Having SAM among under-five children was explained by the individual-, household- and neighbourhood-level factors. However, we found variations in the contributions of these factors. The rural–urban dichotomy in the prevalence of SAM was generally significant with higher odds found in the rural areas. Our findings suggest the need for urgent intervention on child nutrition in the rural areas of most LMIC.

Retail drug shops play a significant role in managing pediatric fevers in rural areas in Uganda. Targeted interventions to improve drug seller practices require understanding of the retail drug shop market and motivations that influence practices. This study aimed at describing the operational environment in relation to the Uganda National Drug Authority guidelines for setup of drug shops; characteristics, and dispensing practices of private retail drug shops in managing febrile conditions among under-five children in rural western Uganda. Cross sectional survey of 74 registered drug shops, observation checklist, and 428 exit interviews using a semi-structured questionnaire with care-seekers of children under five years of age, who sought care at drug shops during the survey period. The survey was conducted in Mbarara and Bushenyi districts, South Western Uganda, in May 2013. Up to 90 and 79% of surveyed drug shops in Mbarara and Bushenyi, largely operate in premises that meet National Drug Authority requirements for operational suitability and ensuring medicines safety and quality. Drug shop attendants had some health or medical related training with 60% in Mbarara and 59% in Bushenyi being nurses or midwives. The rest were clinical officers, pharmacists. The most commonly stocked medicines at drug shops were Paracetamol, Quinine, Cough syrup, ORS/Zinc, Amoxicillin syrup, Septrin® syrup, Artemisinin-based combination therapies, and multivitamins, among others. Decisions on what medicines to stock were influenced by among others: recommended medicines from Ministry of Health, consumer demand, most profitable medicines, and seasonal disease patterns. Dispensing decisions were influenced by: prescriptions presented by client, patients’ finances, and patient preferences, among others. Most drug shops surveyed had clinical guidelines, iCCM guidelines, malaria and diarrhea treatment algorithms and charts as recommended by the Ministry of Health. Some drug shops offered additional services such as immunization and sold non-medical goods, as a mechanism for diversification. Most drug shops premises adhered to the recommended guidelines. Market factors, including client demand and preferences, pricing and profitability, and seasonality largely influenced dispensing and stocking practices. Improving retail drug shop practices and quality of services, requires designing and implementing both supply-side and demand side strategies.

Malnutrition is one of the main reasons for death among children <5 years of age in low- and middle-income countries (LMICs). It accounts for about one-third of preventable deaths among children. Reduction of malnutrition, especially severe acute malnutrition (SAM), is critical, directly or indirectly, to a targeted decrease in child mortality and improvement in maternal health. It would also help achieve sustainable development goal 2 (improvement of nutrition across the board) and sustainable development goal 3 (ensuring healthy lives and well-being promotion for all at all ages). The aim of this study was to develop and test a model of risk factors associated with SAM among under-5 children in LMICs. We used 51 recent demographic and health-surveys, cross-sectional, nationally representative data collected between 2010 and 2018 in LMICs. We used multivariable Bayesian logistic multilevel regression models to analyze the association between individual compositional and contextual risk factors associated with SAM. We analyzed information on 532 680 under-5 children (level 1) nested within 55 823 communities (level 2) from 51 LMICs (level 3). The prevalence of SAM ranged from 0.1% in both Guatemala and Peru to 9.9% in Timor-Leste. Male children, infants, low birth weight children, children whose mothers had no formal education, those from poorer households, and those with no access to any media were more likely to have SAM. Additionally, children from rural areas, neighborhoods with high illiteracy and high unemployment rates, and those from countries with high intensity of deprivation and high rural population percentage were more likely to have SAM. Individual compositional and contextual factors were significantly associated with SAM. Attainment of sustainable development goals 1, 4, and 10 will automatically contribute to the eradication of SAM, which in turn leads to the attainment of sustainable development goals 2 and 3. These findings underscore the need to revitalize existing policies and implement interventions to rescue and prevent children from having SAM at the individual, community, and societal levels in LMICs.

(1) Background: Prevalence studies on hospital malnutrition are still scarce in the Middle East region despite recent global recognition of clinical malnutrition as a healthcare priority. The aim of this study is to measure the prevalence of malnutrition in adult hospitalized patients in Lebanon using the newly developed Global Leadership Initiative on Malnutrition tool (GLIM), and explore the association between malnutrition and the length of hospital stay (LOS) as a clinical outcome. (2) Methods: A representative cross-sectional sample of hospitalized patients was selected from a random sample of hospitals in the five districts in Lebanon. Malnutrition was screened and assessed using the Nutrition Risk Screening tool (NRS-2002) and GLIM criteria. Mid-upper arm muscle circumference (MUAC) and handgrip strength were used to measure and assess muscle mass. Length of stay was recorded upon discharge. (3) Results: A total of 343 adult patients were enrolled in this study. The prevalence of malnutrition risk according to NRS-2002 was 31.2%, and the prevalence of malnutrition according to the GLIM criteria was 35.6%. The most frequent malnutrition-associated criteria were weight loss and low food intake. Malnourished patients had a significantly longer LOS compared to patients with adequate nutritional status (11 days versus 4 days). Handgrip strength and MUAC measurements were negatively correlated with the length of hospital stay. (4) Conclusion and recommendations: the study documented the valid and practical use of GLIM for assessing the prevalence and magnitude of malnutrition in hospitalized patients in Lebanon, and highlighted the need for evidence-based interventions to address the underlying causes of malnutrition in Lebanese hospitals.

To determine the sub-national seasonal prevalence and trends in wasting from 2007 to 2010 among children aged 6-59 months in Somalia using remote sensing and household survey data from nutritional surveys. Bayesian hierarchical space-time model was implemented using a stochastic partial differential equation (SPDE) approach in integrated nested Laplace approximations (INLA) to produce risk maps of wasting at 1 × 1 km(2) spatial resolution and predict to seasons in each year of study from 2007 to 2010. The prevalence of wasting was generally at critical levels throughout the country, with most of the areas remaining in the upper classes of critical and very critical levels. There was minimal variation in wasting from year-to-year, but a well-defined seasonal variation was observed. The mean difference of the prevalence of wasting between the dry and wet season ranges from 0% to 5%. The risks of wasting in the South Central zone were highest in the Gedo (37%) and Bay (32%) regions. In North East zone the risk was highest in Nugaal (25%) and in the North West zone the risk was high in Awdal and Woqooyi Galbeed regions with 23%. There was a clear seasonal variation in wasting with minimal year-to-year variability from 2007 to 2010 in Somalia. The prevalence was high during the long dry season, which affects the prevalence in the preceding long rainy season. Understanding the seasonal fluctuations of wasting in different locations and at different times is important to inform timely interventions.