Fortified balanced energy–protein supplementation during pregnancy and lactation and infant growth in rural Burkina Faso: A 2 × 2 factorial individually randomized controlled trial

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Study Justification:
– Optimal nutrition during the first 1,000 days from conception to 2 years after birth is crucial for child growth and development.
– Prenatal and postnatal supplementation with fortified balanced energy-protein (BEP) supplements is a potential intervention to improve maternal and infant nutrition.
– However, there is inconsistent evidence on the long-term effects of BEP supplementation on child growth.
Study Highlights:
– The study evaluated the efficacy of daily fortified BEP supplementation during pregnancy and lactation on infant growth in rural Burkina Faso.
– A 2 × 2 factorial individually randomized controlled trial was conducted, with pregnant women randomly assigned to receive either BEP supplements and iron-folic acid (IFA) tablets or IFA alone during pregnancy, and either BEP supplementation or IFA alone during the first 6 months postpartum.
– The primary outcome was length-for-age z-score (LAZ) at 6 months of age, and secondary outcomes included other anthropometric indices, nutritional status, prevalence of morbidities, and infant feeding practices.
– Prenatal BEP supplementation resulted in significantly higher LAZ and lower stunting prevalence at 6 months of age.
– Postnatal BEP supplementation did not have significant effects on LAZ or stunting at 6 months, but it did improve the rate of monthly LAZ increment during the first 12 months postpartum.
– No other secondary outcomes were significantly affected by the BEP supplementation.
Recommendations for Lay Reader and Policy Maker:
– Fortified balanced energy-protein (BEP) supplementation during pregnancy can contribute to reducing child growth faltering in low- and middle-income countries.
– The benefits obtained from prenatal BEP supplementation on size at birth are sustained during infancy in terms of linear growth.
– Maternal BEP supplementation during lactation may lead to slightly better linear growth towards the second half of infancy.
– Further research is needed to explore the long-term effects of BEP supplementation on child growth and development.
Key Role Players:
– Researchers and scientists involved in nutrition and child health.
– Health policymakers and program managers.
– Community health workers and midwives.
– Non-governmental organizations (NGOs) working in maternal and child health.
Cost Items for Planning Recommendations:
– Development and production of fortified balanced energy-protein (BEP) supplements.
– Training and capacity building for village-based project workers.
– Monitoring and supervision of project implementation.
– Health center visits and growth monitoring sessions.
– Data collection and analysis.
– Communication and dissemination of research findings.
– Evaluation and impact assessment of the intervention.
– Potential costs for scaling up the intervention in other regions or countries.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it is based on a randomized controlled trial (RCT) design, which is a strong study design for evaluating interventions. The trial included a large sample size of 1,897 pregnant women and followed a 2×2 factorial design, which allows for the evaluation of the effects of both prenatal and postnatal interventions. The primary outcome of length-for-age z-score (LAZ) at 6 months of age was statistically significant, indicating a positive effect of prenatal BEP supplementation on linear growth. However, the evidence for the effects of postnatal BEP supplementation on LAZ and other secondary outcomes was not statistically significant. To improve the strength of the evidence, future studies could consider increasing the sample size and conducting longer follow-up periods to assess the long-term effects of BEP supplementation on child growth. Additionally, it would be beneficial to include a control group that does not receive any supplementation to better evaluate the specific effects of BEP supplementation.

Background Optimal: nutrition is crucial during the critical period of the first : 1,000 days from conception to 2 years after birth. Prenatal and postnatal supplementation of mothers with multimicronutrient-fortified balanced energy–protein (BEP) supplements is a potential nutritional intervention. However, evidence on the long-term effects of BEP supplementation on child growth is inconsistent. We evaluated the efficacy of daily fortified BEP supplementation during pregnancy and lactation on infant growth in rural Burkina Faso. Methods and findings A 2 × 2 factorial individually randomized controlled trial (MISAME-III) was implemented in 6 health center catchment areas in Houndé district under the Hauts-Bassins region. From October 2019 to December 2020, 1,897 pregnant women aged 15 to 40 years with gestational age 10 mm for length, >200 g for weight, and >5 mm for head and arm circumferences), a third measurement was carried out, and, finally, the average of the two closest measurements was used for analysis. The occurrence of common childhood morbidities (fever, diarrhea, vomiting, runny nose, cough, difficulty of breathing, grunting, and skin lesions) was assessed by asking mothers how many days over the past 7 days their infant experienced each of these morbidity symptoms. Diarrhea was defined as the occurrence of ≥3 liquid or semisolid stools within a day. Furthermore, armpit body temperature measurements were taken by study midwives, and fever was diagnosed as a body temperature ≥37.5°C. At the age of 6 months, infant hemoglobin concentration (g/dL) was determined from a finger prick capillary blood sample using HemoCue Hb 201+ instrument. Information about infant feeding practices was also gathered by maternal 24-hour recall during the monthly anthropometric measurements. Duration of EBF was estimated by asking mothers the date the infant started receiving liquid/solid foods. Minimum dietary diversity for children was assessed at 9 and 12 months of age and achieved when an infant consumed foods and beverages from at least 5 out of 8 defined food groups during the previous day (i.e., (i) breast milk; (ii) grains, roots, tubers, and plantains; (iii) pulses (beans, peas, lentils), nuts, and seeds; (iv) dairy products (milk, infant formula, yogurt, cheese); (v) flesh foods (meat, fish, poultry, organ meats); (vi) eggs; (vii) vitamin A–rich fruits and vegetables; and (viii) other fruits and vegetables) [35]. Infants with acute illnesses and acute malnutrition were referred to the nearest health center. The primary outcome of this study was children’s LAZ at the age of 6 months. Secondary outcomes included a suite of indices of growth and nutritional status at the age of 6 months, such as weight-for-length (WLZ) and weight-for-age (WAZ) z-scores, MUAC and head circumference, prevalence rates of stunting (LAZ <−2 SD), wasting (WLZ <−2 SD), and underweight (WAZ <−2 SD), hemoglobin concentration, and anemia (<11 g/dL). Additional secondary outcomes included the longitudinal prevalence of common childhood morbidities and the incidence of wasting and EBF during the 6 months follow-up. Furthermore, growth trajectories of infants were considered as additional secondary outcomes by evaluating monthly changes in the aforementioned anthropometric indices during the 12 months follow-up period. We previously reported the primary and secondary outcomes at birth [25]. In the absence of dependency between the effects of the pre- and postnatal interventions (see below), a sample size of 588 children per study arm (n = 1,176) was required to detect a difference of 0.18 z-score (with an SD of 1.1) in LAZ between study arms at the age of 6 months with an 80% power and a 95% confidence level [36]. A total of 1,891 pregnant women were required to accommodate for a potential 26% loss of information during the prenatal period due to a combination of abortions, miscarriages, stillbirths, multifetal pregnancies, out-migrations, maternal deaths and incomplete data as detected in the previous MISAME trial [37], and a further anticipated 16% lost-to-follow-up from birth to 6 months postpartum. All analyses in this study were documented a priori in the MISAME-III statistical analysis plan, which was published in the study website on November 3, 2020 (https://www.misame3.ugent.be/resource-files/MISAME-III_SAP_v1_102019.pdf). Analyses were conducted using Stata 17.1 (Statacorp, Texas, USA) and a two-sided statistical significance was considered at alpha <0.05. Descriptive statistics are reported as means ± SD for the continuous variables and as percentages for the nominal variables. Anthropometric indices of LAZ, WLZ, and WAZ were calculated based on the WHO 2006 Child Growth Standards [38]. The analysis strategy to evaluate the effects of BEP supplementation on infant outcomes was established based on the presence or absence of dependency (i.e., statistically significant interaction at p < 0.1) between the effects of the pre- and postnatal interventions [39]. Accordingly, due to the lack of a statistically significant interaction on the study outcomes (e.g., LAZ p-interaction = 0.767), we followed a factorial approach evaluating the two interventions separately. In this approach, the effect of each of the pre- and postnatal interventions on the study outcomes were evaluated independently of the effect of the other intervention (i.e., estimating the effect of one intervention by adjusting for the allocation to the other intervention). Group differences in growth and nutritional status of infants at the age of 6 months (also at 9 and 12 months in a subsample) were estimated by fitting linear regression models for the continuous outcomes and linear probability models with robust variance estimation for the binary outcomes. Poisson regression models with robust variance estimation were fitted to estimate risk ratios between study arms in terms of the number of months infants received EBF and the number of months infants were diagnosed with wasting during the 6 months postpartum. All models contained the health center and randomization block as fixed effects to account for any possible clustering by the study design. Adjusted models further included prespecified known prognostic factors of the study outcomes such as maternal age, height, body mass index (BMI), MUAC, hemoglobin concentration, gestational age, and parity at study enrollment. Our main analysis followed a modified intention-to-treat (mITT) principle in which all infants who had birth anthropometry measurements were included in the analyses at 6 months. For this purpose, we conducted multiple imputations of missing data using chained equations under the “missing-at-random assumption.” Fifty imputations of missing data were conducted to estimate the regression coefficients. We further assessed the robustness of our findings by conducting sensitivity analyses such as a complete cases analysis (i.e., by including only infants with available measurements at 6 months) and a per-protocol analysis (i.e., by including only participants with BEP adherence of at least 75%). As a secondary analysis, we modelled growth trajectories of infants from birth to 6 months, which continued up to 9 and 12 months on a subsample of infants. Mixed effects models with a random intercept for the individual infant and a random slope for the age of the child (in months) were fitted to estimate group differences on average monthly changes in LAZ, WLZ, WAZ, MUAC, and head circumference. We explored the best model fit for our data by assessing different potential relationships of the study outcomes with time, by visual inspection of graphs and comparing model fit indices (AIC and BIC). We applied linear models (WLZ and WAZ), quadratic model (LAZ), and restricted cubic spline models with 6 knots (MUAC and head circumference) according to the model fit. Fixed effects in the model included the main effect of group, time, and group by time interaction, which the later estimates difference between groups on monthly changes in the outcomes. All models included the clustering indicators (i.e., health center and randomization block), whereas adjusted models additionally included the aforementioned known maternal prognostic factors of infant growth. Furthermore, we explored potential intervention effect modification on the primary outcome LAZ at 6 months by prespecified subgroup factors, such as maternal BMI (<18.5 kg/m2), MUAC (<23 cm), hemoglobin (<11 g/dl), height (<155 cm), age (<20 years), completion of primary education, possible and probable prenatal depression (Edinburgh Postnatal Depression Scale ≥10 points and ≥13 points), primiparity, household food insecurity (Household Food Insecurity Access Scale), newborn sex, season of delivery (lean season: June to September), and interpregnancy interval (<18 months). The longitudinal prevalence rates of common childhood morbidities during the 6 months follow-up were calculated using “the total number of days that the outcome was reported” as numerator, and “the total days observed or assessed” as denominator. We used Poisson regression models with robust variance estimation to estimate risk ratios comparing study arms by the occurrence of morbidity outcomes. Finally, to inform on the potential effect of the combination of the pre- and postnatal BEP interventions, we conducted supplementary analysis using a four intervention arms approach evaluating LAZ and stunting at 6 months and LAZ trajectories from birth to 12 months comparing the control group for both intervention periods (IFA/IFA) against each of the prenatal only BEP (BEP/IFA), the postnatal only BEP (IFA/BEP), and the combination of the pre- and postnatal BEP (BEP/BEP) groups. Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in S1 Supporting Information.

The study described is titled “Fortified balanced energy–protein supplementation during pregnancy and lactation and infant growth in rural Burkina Faso: A 2 × 2 factorial individually randomized controlled trial.” It evaluates the efficacy of daily fortified balanced energy–protein (BEP) supplementation during pregnancy and lactation on infant growth in rural Burkina Faso.

The study enrolled 1,897 pregnant women aged 15 to 40 years with gestational age less than 21 completed weeks. The women were randomly assigned to receive either fortified BEP supplements and iron–folic acid (IFA) tablets or IFA alone during pregnancy. They were also randomly assigned to receive either fortified BEP supplementation during the first 6 months postpartum in combination with IFA for the first 6 weeks or IFA alone for 6 weeks postpartum.

The primary outcome of the study was length-for-age z-score (LAZ) at 6 months of age. Secondary outcomes included other anthropometric indices of growth, nutritional status, prevalence rates of stunting, wasting, underweight, anemia, and hemoglobin concentration at 6 months. The study also evaluated the longitudinal prevalence of common childhood morbidities, incidence of wasting, number of months of exclusive breastfeeding, and trajectories of anthropometric indices from birth to 12 months.

The study found that prenatal BEP supplementation resulted in a significantly higher LAZ and lower stunting prevalence at 6 months of age. Postnatal BEP supplementation did not have statistically significant effects on LAZ or stunting at 6 months but did improve the rate of monthly LAZ increment during the first 12 months postpartum. No other secondary outcomes were significantly affected by the pre- or postnatal BEP supplementation.

The study concludes that BEP supplementation during pregnancy can contribute to reducing child growth faltering in low- and middle-income countries. The findings suggest that the benefits obtained from prenatal BEP supplementation on size at birth are sustained during infancy in terms of linear growth. Maternal BEP supplementation during lactation may lead to slightly better linear growth towards the second half of infancy.

The study was conducted in 6 rural health center catchment areas in the district of Houndé in the Hauts-Bassins region of Burkina Faso. The study area has a Sudano-Sahelian climate and is characterized by agricultural activity, predominantly cotton and maize production. The habitual diet during pregnancy in the study area is nondiverse and predominantly based on maize with leafy vegetables.

The study used a 2 × 2 factorial design, randomizing women into four study groups: prenatal BEP and IFA supplementation, postnatal BEP and IFA supplementation, both pre- and postnatal BEP and IFA supplementation, or both pre- and postnatal IFA only supplementation. The BEP supplement provided an energy top-up and covered the estimated average requirements of pregnant women for 11 micronutrients. The IFA tablets contained iron and folic acid, in accordance with the standard of care in Burkina Faso.

Supplements were provided by trained village-based project workers under direct observation during daily home visits. The study also included follow-up home visits, growth monitoring sessions, and monthly health center visits for study participants. Anthropometric measurements, infant feeding practices, and information on common childhood morbidities were collected during these visits.

The study used statistical analysis to evaluate the effects of BEP supplementation on infant outcomes. Linear regression models, linear probability models, and Poisson regression models were used to estimate group differences in growth, nutritional status, and other outcomes. The analysis followed a modified intention-to-treat principle, and multiple imputations of missing data were conducted.

The study provides evidence that prenatal BEP supplementation has positive effects on infant growth, specifically in terms of linear growth. Maternal BEP supplementation during lactation may also contribute to better linear growth in the second half of infancy. These findings suggest that BEP supplementation during pregnancy can help reduce the high burden of child growth faltering in low- and middle-income countries.
AI Innovations Description
The recommendation based on the research described is to implement fortified balanced energy-protein (BEP) supplementation during pregnancy and lactation to improve access to maternal health. The study conducted in rural Burkina Faso found that daily fortified BEP supplementation during pregnancy resulted in higher length-for-age z-scores (LAZ) and lower stunting prevalence at 6 months of age. The supplementation during lactation also showed a modest improvement in linear growth towards the second half of infancy. These findings suggest that BEP supplementation during pregnancy and lactation can contribute to reducing child growth faltering in low- and middle-income countries. The supplementation should include a combination of fortified BEP supplements and iron-folic acid (IFA) tablets. The supplements should be provided by trained village-based project workers under direct observation during daily home visits. It is important to ensure compliance with the supplementation and encourage women to attend all antenatal and postnatal care visits. Additionally, promoting a healthy diet during pregnancy and optimal infant feeding practices should be emphasized.
AI Innovations Methodology
Based on the provided description, the study evaluated the efficacy of fortified balanced energy-protein (BEP) supplementation during pregnancy and lactation on infant growth in rural Burkina Faso. The primary outcome was the length-for-age z-score (LAZ) at 6 months of age, and secondary outcomes included other anthropometric indices of growth, nutritional status, and prevalence rates of stunting, wasting, underweight, anemia, and hemoglobin concentration.

To improve access to maternal health, here are some potential recommendations based on the study findings:

1. Promote the use of fortified BEP supplements during pregnancy: The study showed that prenatal BEP supplementation resulted in a significantly higher LAZ and lower stunting prevalence at 6 months of age. Encouraging pregnant women to take fortified BEP supplements can contribute to improving infant growth and reducing the burden of child growth faltering.

2. Enhance postnatal BEP supplementation: Although the postnatal BEP supplementation did not have statistically significant effects on LAZ or stunting at 6 months, it did modestly improve the rate of monthly LAZ increment during the first 12 months postpartum. Strengthening postnatal BEP supplementation can potentially lead to better linear growth in infants during the second half of infancy.

3. Implement comprehensive nutrition interventions: In addition to BEP supplementation, it is important to address other aspects of maternal and child nutrition. This can include promoting a diverse and nutritious diet, improving access to micronutrient-rich foods, and providing education on optimal infant feeding practices.

4. Strengthen antenatal and postnatal care services: Ensuring that pregnant women have access to regular antenatal care visits, skilled birth attendance, and postnatal care can contribute to better maternal and infant health outcomes. These services can provide opportunities for monitoring and addressing nutritional needs, as well as providing guidance on infant feeding and growth monitoring.

Methodology to simulate the impact of these recommendations on improving access to maternal health:

To simulate the impact of the recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population or region where the recommendations will be implemented. Consider factors such as demographics, existing healthcare infrastructure, and prevalence of maternal health issues.

2. Collect baseline data: Gather relevant data on maternal health indicators, such as maternal mortality rates, infant mortality rates, prevalence of malnutrition, and access to antenatal and postnatal care. This data will serve as a baseline for comparison.

3. Develop a simulation model: Create a mathematical or computational model that incorporates the recommendations and their potential impact on maternal health outcomes. The model should consider factors such as the coverage and effectiveness of the interventions, population dynamics, and resource constraints.

4. Input data and parameters: Input the baseline data and parameters into the simulation model. This may include information on the target population, intervention coverage rates, efficacy of the interventions, and healthcare resources available.

5. Run simulations: Run the simulation model to generate projections of maternal health outcomes under different scenarios. This can involve varying the coverage and effectiveness of the interventions, as well as considering different implementation strategies.

6. Analyze results: Analyze the simulation results to assess the potential impact of the recommendations on improving access to maternal health. This can include evaluating changes in maternal and infant mortality rates, improvements in nutritional status, and increased utilization of antenatal and postnatal care services.

7. Refine and validate the model: Continuously refine and validate the simulation model based on new data and feedback from stakeholders. This will help improve the accuracy and reliability of the projections.

8. Communicate findings: Present the findings of the simulation study to relevant stakeholders, such as policymakers, healthcare providers, and community members. Use the results to advocate for the implementation of the recommendations and inform decision-making processes.

It is important to note that the methodology described above is a general framework and may need to be adapted based on the specific context and available data. Additionally, the accuracy of the simulation results will depend on the quality and reliability of the input data and assumptions used in the model.

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