Oleg Bilukha’s research while affiliated with Centers for Disease Control and Prevention and other places

Infant and young child feeding practices (IYCF) are crucial for children's growth and development but often deteriorate during periods of instability. A cross‐sectional survey conducted in three oblasts of Ukraine—Kyiv City and Kyiv, Lviv, and Odesa—enroled 724 children 0–23 months of age from 699 households. Using global WHO IYCF Guidelines, 12 indicators of optimal IYCF practices were evaluated. The study found IYCF practices to be relatively stable since 2015, despite the continued escalation of conflict, with an improvement in exclusive breastfeeding (EBF). EBF was reported by 51% of mothers, while breastfeeding was initiated early in 65% of children. Complementary feeding practices were optimal for most children, with 79% having a minimum acceptable diet. Infant formula assistance was independently associated with suboptimal breastfeeding practices in multi‐variable models. Children from households that received formula assistance had 67% (adjusted odds ratio [aOR] 0.33, 95% confidence interval [CI] 0.14–0.73) lower odds of being exclusively breastfed, 65% (aOR 0.35, 95% CI 0.20–0.61) lower odds of continued breastfeeding at 12 months, and 3.3 times (95% CI 2.31–4.78) higher odds of being bottlefed. Baby food assistance did not independently predict a minimum acceptable diet. High levels of optimal complementary feeding sustained since 2015 suggest protective factors for child nutrition in Ukraine, such as domestic agriculture and social safety nets. Additionally, maternal education was consistently linked to better IYCF outcomes, highlighting the need for targeted support for less‐educated mothers. The negative association of formula assistance with EBF warrants further research alongside reinforcement of guidelines to prevent inappropriate formula targeting.

Introduction During emergencies, breastfeeding protects infants by providing essential nutrients, food security, comfort, and protection and is a priority lifesaving intervention. On February 24, 2022, the war in Ukraine escalated, creating a humanitarian catastrophe. The war has resulted in death, injuries, and mass internal displacement of over 5 million people. A further 8.2 million people have taken refuge in neighboring countries, including Poland. Among those impacted are infants and young children and their mothers. We conducted a study to explore the infant feeding challenges and needs of Ukrainian women affected by the war. Methods We conducted a qualitative descriptive study involving in-depth interviews (IDIs) with 75 war-affected Ukrainian mothers who had at least one infant aged less than 12 months at the time of the interview. Eligible mothers were either (1) living as Ukrainian refugees in Poland, having crossed the border from Ukraine on or after February 24, 2022, when the war started (n = 30) or (2) living in Ukraine as internally displaced persons or as residents in the community (n = 45). All interviews were audio-recorded (either transcribed or had responses summarized as expanded notes) and analyzed using qualitative thematic analysis using a two-step rapid analysis process. Results Participants in Ukraine who wanted to initiate breastfeeding right after birth faced opposition from healthcare workers at maternity hospitals. Ukrainian refugees who gave birth in Poland faced language barriers when seeking breastfeeding support. Half of the participants in Ukraine received commercial milk formula (CMF) donations even if they said they did not need them. Most respondents stated that breastfeeding information and support were urgently needed. Conclusion Our data suggests that healthcare workers in Ukrainian maternity hospitals require additional training and motivation on delivering breastfeeding support. In addition, lactation consultants in maternity ward are needed in Ukraine, and interpretation support is needed for refugees to overcome language barriers. There is a need to control the indiscriminate donations of commercial milk formula and to ensure that complementary foods and commercial milk formula are available to those that need it. This study confirms the need for actions to ensure infant and young child feeding (IYCF) support is provided during emergencies.

Background Currently, there is a lack of clear guidance on hemoglobin (Hb) data quality parameters and plausible flagging ranges for population-representative surveys. There is a need to determine which properties of Hb data indicate lower data quality and increased measurement error and which represent intrinsic statistical properties of Hb distributions rather than quality problems. Methods We explored statistical characteristics of Hb distributions and plausible exclusion ranges in population-representative surveys of non-pregnant women of reproductive age (WRA) (15–49 years, n = 401 surveys) and children (6–59 months, n = 461 surveys) conducted in refugee settings by the United Nations High Commissioner for Refugees (UNHCR). Hb distribution characteristics [standard deviation (SD), skewness and kurtosis] were compared to those from Demographic and Health Surveys (DHS). Results Overall, 0.08% of child and 0.14% of WRA Hb values were outside of the previously proposed 4.0–18.0 g/dL plausible range. Surveys conducted in Uganda tended to have unusually high SD compared with surveys from other settings, possibly an indication of problematic measurement quality. We therefore used summary results on SD, skewness and kurtosis excluding surveys from Uganda when comparing with DHS results or proposing plausible ranges. Both WRA and child Hb distributions tended to be left-skewed and had excess positive kurtosis. Mean survey-level SD was greater, mean skewness more negative, and mean kurtosis more positive in WRA surveys compared to child surveys. All these findings were broadly similar to those from DHS surveys. Mean SD in DHS surveys was higher than that in our data for both children (1.48 vs. 1.34) and WRA (1.58 vs. 1.43). Conclusions We observed several statistical characteristics of Hb distributions that may not necessarily be indicative of data quality problems and bear strong similarities with the characteristics found in DHS surveys. Hb distributions tended to be negatively skewed and positively kurtotic, and SD in many surveys exceeded 1.5 (previously proposed upper plausible range). Based on our empirical evidence, surveys with skewness above + 0.2 and kurtosis below -0.5 or Hb SD outside the range of 1.1–1.55 g/dL for children (6–59 mo) or 1.1–1.65 g/dL for non-pregnant WRA (15–49 y) may require further quality investigation.

Infant and young child feeding (IYCF) plays a crucial role in early childhood growth and development. This study summarizes recent IYCF practices in multiple refugee settings and compares them to those in the host countries. We analyzed 203 surveys conducted among refugees residing in 15 countries and 120 unique sites and assessed eight IYCF indicators available from those surveys. A total of 146 surveys were conducted in Eastern and Southern Africa (ESA) and 50 in Western and Central Africa (WCA) regions. The median prevalence across surveys of all four indicators describing intake of breast milk was relatively high: 96.6% for ever breastfed, 81.2% for initiation of breastfeeding within 1 h of birth, 76.9% for exclusive breastfeeding 0–5 months, and 75.0% for continued breastfeeding 12–23 months. The median prevalence of early initiation and exclusive breastfeeding was markedly higher in ESA than in WCA (85.0% vs. 37.5% and 83.5% vs. 56.1%, respectively). Conversely, the overall median prevalence of timely introduction of solid and semisolid foods and flesh food consumption was low: 51.8% and 16.1%, respectively. Flesh food consumption was higher in WCA than in ESA (27.4% vs. 11.6%). The median prevalence of mixed milk feeding at 0–5 months and bottle feeding was very low: 2.4% and 3.8%, respectively. Indicators describing breast milk intake were generally either similar or higher in refugees than in the host country populations, whereas the other indicators were generally higher in the host populations than in refugees. The low prevalence of timely introduction of solids and of flesh food consumption in refugees is concerning and requires substantial improvement.

Background Despite their utility for program planning, acute malnutrition treatment coverage estimates at the national and sub-national levels are rarely available. Prior work has identified methodological concerns with current approaches. Methods We estimated the point prevalence and treatment coverage of acute malnutrition in 14 districts (or similar subnational areas) across 5 high-burden countries in Africa using representative cluster-based population survey methods, and compared these estimates to those derived from administrative data and other direct methods where available. We also aimed to assess information about risk factors for malnourished children by coverage status. Results The point estimate of coverage suggests that < 20% of eligible children with severe acute malnutrition (SAM) were enrolled in treatment in eleven administrative areas. We found that in some contexts, coverage estimates derived using administrative data are useful, while in others, they are not – and that their accuracy can vary by month and year. By comparison, coverage estimates from other direct methods were overestimated and/or outdated, and practitioners tended to overestimate coverage. Coverage did not differ significantly by sex or age of the child but did vary by mid-upper arm circumference (MUAC) at assessment. Measured SAM coverage did not correlate either with measured SAM prevalence or with expected coverage estimated a priori by program staff. Conclusions Our findings suggest that in the assessed high-burden countries, many more children are eligible for treatment than are enrolled. We present this methodology as an alternative to existing primary methods and a complement to coverage estimates from routine program and population data.

Despite frequent use of mid-upper arm circumference (MUAC) to assess populations in humanitarian settings, no guidance exists about the ranges for excluding implausible extreme outliers (flags) from MUAC data and about the quality assessment of collected MUAC data. We analysed 701 population-representative anthropometric surveys in children aged 6-59 months from 40 countries conducted between 2011 and 2019. We explored characteristics of flags as well as changes in survey-level MUAC-for-age z-score (MUACZ) and MUAC means, SD and percentage of flags based on three flagging approaches: ±3 and ±4 MUACZ z-scores from observed MUACZ survey mean and a fixed interval 100-200 mm of MUAC. Both ±4 and 100-200 flagging approaches identified as flags approximately 0.15% of records; about 60% of all surveys had no flags and less than 1% of surveys had >2% of flags. The ±3 approach flagged 0.6% records in the data set and 3% of surveys had >2% of flags. Plausible ranges (defined as 2.5th and 97.5th percentiles) for SD of MUACZ and MUAC were 0.8-1.2 and 10.5-14.4 mm, respectively. Survey-level SDs of MUAC and MUACZ were highly correlated (r = 0.68). The average SD of MUACZ was 0.96 using the ±4 flagging approach and 0.94 with ±3 approach. Defining outliers in MUAC data based on the MUACZ approach is feasible and adjusts for different probability of extreme values based on age and nutrition status of surveyed population. In assessments where age is not recorded and therefore MUACZ cannot be generated, using 100-200 mm range for flag exclusion could be a feasible solution.

The Famine Review Committee (FRC) was activated with a request to assess the plausibility of the IPC Yemen Technical Working Group (TWG) Acute Food Insecurity (AFI) and Acute Malnutrition (AMN) classifications in five areas (Abs, Haradh and Midi in Hajjah Governorate and Al Hali and Al Hawak in Al Hudaydah governorate). The FRC found that the classifications and population estimates, conducted with the information available at the time of the analysis, are broadly plausible for the current and projected classifications in Abs, Al Hali and Al Hawak. However, the FRC concluded that there is not a body of evidence supporting a famine classification. for Midi and Haradh. The FRC considers the extrapolation done from Abs data, for both AFI and AMN analyses, are not plausible; and recommends the IPC TWG does not classify these areas but reassess the presence of populations residing in these districts as well as their conditions. It is paramount to note that in the immediate aftermath of the FRC activation, the Ukraine crisis unfolded generating the need to review the scenario definition for the projected period. The risks associated with the crisis in Ukraine point to the need to re-assess the assumptions developed by the IPC analysis teams. Notably the prices and supply of wheat and fuel, as well as a change in the geopolitics surrounding the Yemen conflict and possible shifts in humanitarian programming in the coming months. The FRC has identified a number of risk factors that may be subject to rapid change during 2022. These factors and/or the potential degree of change relate to recent developments and could not have been foreseen at the time of the Yemen IPC analyses. Nevertheless, the FRC believes these factors may affect the TWG classifications over the time periods they cover. The FRC urges the closest possible monitoring not only of each of the risk factors individually, particularly their cumulative impact, during the current and projection periods. Without close monitoring and rapid response to any changes, it is feasible that the severity of the food security, nutrition, and health situation in Yemen could exceed the levels currently specified in the current and projection time periods.

Background Nutrition surveys in many refugee settings routinely estimate anemia prevalence in high-risk population groups. Given the lack of information on anemia design effects (DEFF) observed in surveys in these settings, the goal of this paper is to better understand the magnitude and distribution of DEFFs and intracluster correlation coefficients (ICCs) in order to inform future survey design. Methods Two-stage cluster surveys conducted during 2013–2016 were included if they measured hemoglobin in refugee children aged 6–59 months and/or non-pregnant women aged 15–49 years. Prevalence of anemia, anemia DEFFs and ICCs, mean cluster size, number of clusters, and total sample size were calculated per-survey for non-pregnant women and children. Non-parametric tests were used to assess differences and correlations of ICC and DEFF between women and children and inter-regional differences. Results Eighty-seven unique cluster surveys from nine countries were included in this analysis. More than 90% of all surveys had ICC values for anemia below 0.10. Median ICC for children was 0.032 (IQR: 0.015–0.048), not significantly different from that observed for non-pregnant women for whom the median was 0.024 (IQR: -0.002–0.055). DEFFs were significantly higher for children [1.54 (IQR: 1.21–1.82)] versus women [1.20 (IQR: 0.99–1.46)]. Regional differences in DEFFs and ICCs were observed. Conclusions Both ICCs and DEFF were relatively small for both non-pregnant women and preschool children and fall in a narrow range. Differences in ICCs between women and children were non-significant, suggesting similar inter-cluster distributions of anemia; significant differences in DEFF were likely attributable to differing cluster sizes. Given regional differences in both ICCs and DEFFs, location-specific values are preferred. However, in the absence of other context-specific information, we suggest using DEFFs of 1.4–1.8 if mean cluster size is around 20, and DEFFs of 1.2–1.4 if mean cluster size is around 10.

Background One newly proposed approach to determining eligibility of children aged 6–59 months for therapeutic feeding programs (TFPs) is to use mid-upper arm circumference (MUAC) < 115 mm, bilateral oedema or Weight-for-Age Z-score (WAZ) < − 3 as admission criteria (MUAC+SWAZ). We explored potential consequences of this approach on the eligibility for treatment, as compared with the existing WHO normative guidance. We also compared sensitivity and specificity parameters of this approach for detecting wasted children to the previously described “Expanded MUAC” approach. Methods We analyzed data from 558 population representative cross-sectional cluster surveys conducted since 2007. We retrieved all children classified as severe acute malnutrition (SAM), moderate acute malnutrition (MAM), and those who are both wasted and stunted (WA + ST), and calculated proportions of previously eligible children who would now be excluded from treatment, as well as proportions of non-malnourished children among those who would become eligible. We also analyzed the expected changes in the number and demographics (sex, age) of the selected populations of children according to the different admission approaches. Results Both MUAC+SWAZ and Expanded MUAC case detection approaches substantially increase the sensitivity in detecting SAM, as compared to an approach which restricts detection of SAM cases to MUAC< 115 mm and oedema. Improved sensitivity however is attained at the expense of specificity and would require a very large increase of the size of TFPs, while still missing a non-negligible proportion (20–25%) of the SAM caseload. While our results confirm the sensitivity of the MUAC+SWAZ case detection approach in detecting WA + ST (over 80%), they show, on the other hand, that about half of the additional target detected by using SWAZ criterion will be neither SAM nor WA + ST. Conclusions These results suggest that recently promoted approaches to case detection inflate TFPs’ targets through the allocation of treatment to large numbers of children who have not been shown to require this type of support, including a significant proportion of non-acutely malnourished children in the MUAC+SWAZ approach. Considering the scarcity of resources for the implementation of TFPs, the rationale of abandoning the use of WHZ and of these alternative case detection strategies need to be critically reviewed.