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Long-Term Effects of Multiple Micronutrient Supplementation During Pregnancy, Lactation, and Early Childhood on the Cognitive Development of Children Aged 4 –14 Years: A Systematic Review of Randomized Controlled Trials

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03 November 2025

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04 November 2025

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Abstract
Background: Inadequate nutrition, poor health care, and limited stimulation constrain early childhood development and cognitive potential. Micronutrient deficiencies during pregnancy and early life are prevalent in low- and middle-income countries (LMICs) and may impair cognitive outcomes. Maternal multiple micronutrient (MMN) and point-of-use micronutrient powders (MNP) supplements improve birth outcomes and iron status, but their long-term cognitive impact remains unclear. This systematic review assessed the long-term impact of maternal MMN and early-childhood MNP supplementation on cognitive development among children aged 4–14 years in LMICs. Method: Following PRISMA guidelines (PROSPERO CRD42023459846), (cluster) randomized controlled trials were identified from six databases and gray literature (October 2023; updated July 2025). Records were managed in EndNote, screened in Covidence, and data synthesized using Review Manager. Eligible studies examined MMN or MNP interventions during pregnancy, lactation, or early childhood, reporting cognitive, motor, or socio-emotional outcomes in children aged 4–14. Results: Ten studies met inclusion criteria: six on maternal supplementation, three on early childhood interventions, and one combining both. Most were conducted in Asia, with one in Tanzania and one in Peru. Although most findings were not statistically significant, two large UNIMMAP-based trials indicated modest long-term improvements in procedural memory and intelligence, while one early childhood point-of-use MNP trial suggested enhanced pre-academic skills. Conclusion: Maternal MMN supplementation may modestly enhance specific domains of cognitive development, whereas evidence on the long-term effects of MMN and point-of-use MNPs on cognitive development remain limited, highlighted the necessity for further research.
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Introduction

Micronutrients are essential vitamins and minerals required in the body in small quantities to ensure healthy growth and development [1]. The requirement for micronutrients increases during pregnancy, the postpartum period, and early life, a time that coincides with the brain development in the fetus and young child, forming the foundation for cognitive development [2,3,4]. Neurodevelopment unfolds dynamically within the first two to three weeks after conception, when the neural tube initiates cell division to give rise to neurons and supportive glial cells [5].
Globally, approximately 40% of women of reproductive age have inadequate micronutrients intake, with 42% of pregnant women suffering from iron-deficiency anemia [6,7]. Such deficiencies during pregnancy can lead to adverse outcomes such as low birth weight, decreased fetal iron status, and an increased risk of maternal mortality [7]. Maternal micronutrient deficiencies in early pregnancy can disrupt essential processes, such as cell proliferation and differentiation, which are critical for brain development and cognitive function in children. These deficiencies can also impair key developmental stages, including synapse formation, dendrite branching, and neural tube development, thereby impacting cognitive outcomes [8]. Furthermore, over 50% of children under 5 years of age suffer from micronutrient deficiencies worldwide, with a large proportion (approximately 42%) residing in Africa and Asia [1]. During infancy and early childhood, deficiencies in essential nutrients such as iron, folic acid, zinc, iodine, and vitamin A have been associated with adverse health outcomes in children, including anemia, wasting, and developmental delays [9].
Micronutrient deficiencies are more prevalent in low- and middle-income countries (LMICs), where dietary diversity and food quality are often limited [10]. The World Health Organization (WHO) promotes various strategies and interventions, such as supplementation, fortification, and dietary diversification, to prevent these deficiencies during pregnancy, lactation, and early childhood [11]. There is evidence to support the effect of single micronutrients on child development. For example, taking 360-4,000 µg of folic acid per day before conception to 12 weeks of pregnancy can prevent 40–80% of neural tube defects [12,13,14]. Iron supports neurodevelopment, myelination, and neurotransmission in the brain, as well as developmental processes. Iron deficiency in early life can result in long-lasting or permanent neurocognitive and behavioral disorders [15].
The WHO recommends daily supplementation with 30-60 mg of elemental iron and 400 µg of folic acid during pregnancy and postpartum [16]. Iron and folic acid (IFA) supplementation prevents maternal anemia, puerperal sepsis, low birth weight, and preterm birth in settings where anemia affects more than 20% of the population. Furthermore, zinc and calcium are also recommended in certain contexts [16,17]. As micronutrient deficiencies often coexist, particularly in LMICs, the 2020 updated guideline recommends multiple micronutrient (MMN) supplementation, including IFA during pregnancy and the postnatal period [9,18]. Furthermore, evidence suggests that a combination of multiple micronutrients, such as iron, zinc, iodine, folate, and vitamin B12, is essential for maternal and fetal growth [19]. The effects of point-of-use fortification of foods with micronutrient powders (MNPs) in reducing micronutrient deficiencies in pregnant women and their impact on children have been studied [20]. The WHO states that the routine use of point-of-use MNPs during pregnancy, as an alternative to IFA and MMN supplementation, is not recommended for improving pregnancy outcomes [21]. However, WHO recommends point-of-use fortification of complementary foods for infants and young children (6-23 months) and foods for children aged 2–12 years with iron-containing MNPs to improve iron status and reduce anemia [22].
The available evidence suggests that maternal MMN supplementation has a positive short-term effect on children’s cognitive development [9,23,24,25,26]. However, evidence on the effects of MNPs on young children’s cognitive development is mixed. For example, in a retrospective cohort study, Geletu (2019) found that providing low-iron MNPs to children aged 6–9 months for three months reduced anemia and stunting, and improved motor development at 9–12 months [25]. In contrast, Luo (2017) reported that providing MNPs to children aged 6–11 months for 18 months had no significant effect on anemia or cognitive outcomes at the end of the intervention [27]. Furthermore, there is little evidence on the long-term effects in promoting cognitive development, and no systematic summary has been conducted of the trials investigating the long-term impact of maternal MMN and child’s MNPs supplementation on children's cognitive development in LMICs. Therefore, in response to the evidence needs prioritization exercise conducted by the Nutrition Research Facility (NRF) in consultation with decision-makers in Asia, the question of the long-term impact of maternal MMN supplementation and early childhood point-of-use MNPs on cognitive development in LMICs was identified as a top priority for nutrition programming during a virtual regional workshop held on April 19–20, 2022.
This systematic review examines the evidence regarding long-term effects of MMN supplementation and point-of-use MNPs during pregnancy, lactation, and early childhood on the cognitive development of children aged 4–14 years in LMICs.

Methods

This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (S1 Checklist) [28]. The protocol was registered on PROSPERO (CRD42023459846) and published on September 26th, 2023. The protocol was updated on June 2nd 2025. A literature search was performed on October 26th, 2023, and updated on July 22nd, 2025.

Data Sources and Search Strategies

The search strategy was developed for MEDLINE (PubMed) and then adapted for five other databases, namely EMBASE, Cochrane (CENTRAL), Web of Science, CINAHL, and Scopus. Grey literature was also searched via Google Scholar. Only peer-reviewed articles, while unpublished data, abstracts, reports, and conference proceedings were excluded. Full search strategies and key terms are reported in the S2 Table.

Eligibility Criteria

This systematic review included randomized controlled trials (RCTs) or cluster-RCTs, controlled trial, quasi-experimental, longitudinal or repeated cross-sectional. References cited in systematic reviews and meta-analyses were also screened for relevant additional records. We included studies if 1) the study supplemented population was - women, pregnant or lactating, or - infants and young children (from birth to 3 years of age), 2) the intervention group received MMN that was defined as at least containing three micronutrients [29], 3) the outcomes assessed in children 4 – 14 years of age, 4) were conducted in LMICs as classified by the World Bank [30], and 5) assessed at least one of the development domains in children: intelligence, memory, concentration, psychomotor skills, and academic achievement, social-emotional development, and adaptive skills. There was no restriction regarding the duration of the intervention, language and the year of publication. Studies conducted on children under 4 years, or those with developmental disability, including cretinism, were excluded. Comparators included IFA, folic acid alone, placebo or no supplement. In multi-arm studies, IFA was considered the standard MMN comparator.

Outcome Measures

The primary outcome of interest was the cognitive development of children aged 4–14 years whose mothers received MMNs during pregnancy or lactation, as well as infants and young children (6 months–3 years) who received MNPs. Cognitive development outcomes were assessed across multiple domains, including general cognitive performance, language and communication, motor skills, social-emotional development, adaptive behavior, memory, executive functioning, and educational attainment [23]. Validated instruments capturing these domains, such as measures of attention, memory, learning, verbal and non-verbal language, and processing speed, were used across the included studies. A summary of standardized tools employed for cognitive assessment is presented in S3 Table, adapted from Prado et al. and updated to include additional instrument identified in this review by AW [31].

Study Selection and Screening

Records identified using the search strategy from the respective databases were exported to EndNote X20 (www.endnote.com). All records were then exported to Covidence https://app.covidence.org/, to identify and remove duplicates, and conduct a screening based on the title and abstract, and then of the full text. Two reviewers (AW and SA) independently screened the titles, abstracts, and full-text following the above-mentioned eligibility criteria. Disagreements were resolved between the two reviewers by consensus-based discussions. The second-round screening of the records was conducted by AW alone.

Data Extraction

Two reviewers (AW and SA) conducted data extraction independently from each other using a modified Cochrane data collection form for intervention reviews (https://dplp.cochrane.org/data), tailored to the research question. The intervention compared MMN supplementation with control groups of pregnant or lactating women, and point-of-use MNPs for infants or young children (6 months–3 years) who received a placebo, no supplement, or standard care (such as folic acid or IFA). This design allowed assessment of the long-term effects of MMN and MNPs on cognitive outcomes in children aged 4–14 years. Data extraction captured study design, participant characteristics, intervention details, follow-up duration, and cognitive outcome measures.

Assessment of Risk of Bias

The risk of bias (RoB) was assessed using the Cochrane risk of bias assessment tool (RoB2) (https://sites.google.com/site/riskofbiastool/welcome/rob-2-0-tool) to ensure the validity and reliability of findings. The assessment covered five key domains: (1) randomization process, (2) intervention deviation, (3) missing outcome data (4) measurement of the outcome, and (5) selection of the reported result. Two reviewers (AW and SA) conducted these assessments, resolving disagreements through discussion or, if necessary, consultation with a third reviewer (CL).

Data Synthesis

Data were handled using Review Manager (RevMan version 5.4). Given the variability in assessment tools and the limited number of studies per outcome, a qualitative synthesis was conducted. Main results were analyzed by outcome type and study, with effect sizes expressed as standard mean differences (SMDs) and 95% confidence intervals (95%CI). Pooled SMDs were calculated using a random-effects model to account for between-study variability [32]. When standard deviations (SD) were not provided, they were derived from the 95%CI and sample size. Multi-arm trials were analyzed separately to preserve the distinction between intervention effects. Control groups included IFA for maternal interventions and placebo for child interventions. Due substantial heterogeneity, meta-analysis was not performed. Instead, findings were summarized using vote counting based on the direction of effect across cognitive, motor, and behavioral outcomes. A sign test (binomial probability test) was applied to assess the overall direction of effects across studies within each outcome domain (GraphPad, two-tailed p-value).

Results

Six databases were searched on October 26, 2023, yielding 12,284 records. After removing 3,469 duplicates using Covidence software, 8,815 records were excluded based on title and abstract screening. A total of 74 full-text articles were assessed for eligibility, of which 64 were excluded, leaving 10 studies on maternal and child supplementation included in this review. An updated search conducted on July 22, 2025, identified an additional 1,971 records. Following screening, no new studies met the eligibility criteria, and the original 10 studies remained the final set of included articles.
In accordance with PRISMA guidelines, the study selection process is summarized in Figure 1, which details the reasons for study inclusion and exclusion.

Study Characteristics

Included studies explored the long-term effects of MMN supplementation and MNPs interventions during pregnancy, lactation, and early childhood on cognitive and developmental outcomes in children aged of 4–14 years (Table 1). All studies reported on cognitive development, five on motor development [31,33,34,35,36], and five studies on behavioral development and mental health [31,35,37,38,39].
The included studies varied considerably in intervention type, setting, and follow-up periods. Most were conducted in Asia, with one trial in Tanzania [38] and one in Peru [37]. three studies were RCTs [37,38,40] and seven studies were cluster-RCTs [31,33,34,35,36,39,41], with sample sizes ranging from 184 to 2,879 participants. Six studies supplemented pregnant women [31,33,37,38,39,40,41] using IFA plus zinc (IFAZn) [33,37], multiple vitamins [38], or MMN formulations [31,33,39,40,41]. Control groups received IFA [31,37,39,40,41], IFA with vitamin A [33], or IFA with placebo [38]. Three of the MMN formulations followed the United Nations International Multiple Micronutrient Antenatal Preparation formulation (UNIMMAP 13–15 micronutrients) [31,39,40,41], though minor variations existed (e.g., lower vitamin B12 in Prado et al. [31], higher vitamins A, B1, B2, B3, B6, and C in Christian et al. [33]). Folic acid content ranged from 400 to 800 µg (Table 2).
Three additional studies targeted infants and young children aged 1–36 months [34,35,38] with IFAZn in Nepal [34], multiple vitamins with or without zinc in Tanzania [38], or point-of-use sprinkles in Pakistan [35]. Control groups received placebo [34] or no supplementation [35,38]. One study assessed children who had been exposed to both prenatal MMN and preschool supplementation [36].
Enrollment gestational age ranged from conception to 28 weeks, with supplementation generally continuing until delivery, except for two trials that extended into the postpartum period (6 weeks [38] and 90 days [31]). Maternal body-mass index at baseline ranged from 19.0 to 23.6 kg/m², with several populations showing high prevalence of undernutrition and anemia. Reported adherence ranged between 73% and 96%, although not all studies provided compliance data [37,38,40].
Follow-up periods varied, with some studies conducting repeated assessments. This review reports outcomes at the latest eligible time point. For example, in China, supplementation effects were assessed at 1 year [42], 7–10 years [43], and 10–14 years, with only the latter included here [39,41]. Prado et al. examined child development at both 42 months [26] and 9–12 years [31], with only the latter retained.

Risk of Bias in Included Studies

The risk of bias (RoB), assessed using the Cochrane RoB2 tool, is summarized in Table 3. Seven studies were rated as low risk, while two were judged to have some concerns [33,38] and one as high risk [36]. In Christian et al. (2010), one maternal supplementation group (folic acid only) was excluded from follow-up analyses, as the authors reported no effect on child cognitive outcomes [33]. In Sudfeld et al. (2019), outcomes for children receiving multiple vitamins with or without zinc were compared against placebo or zinc alone, but results were not reported by individual group [38]. Christian et al. (2011) included only offspring from two of the five original maternal supplementation groups, both with high dropout rates and baseline imbalances between participants [36]. These limitations were considered to have affected the overall quality of the evidence.

Long-Term Effects of Multiple Micronutrient Supplementation on Cognitive Outcomes

Maternal Supplementation

Six studies evaluated the long-term effects of maternal MMN supplementation on child and adolescent cognitive development (Table 1).
General intelligence and executive function. Four analyses compared MMN to IFA. Zhu et al. reported improved intelligence at ages 10–14 years [39,41], whereas Christian et al. observed reduced performance intelligence and no benefit, or a decline, in executive function at ages 7–9 years [33]. Dulal et al. found no effects on cognition at 12 years [40]. Prado et al. similarly observed no significant effect on intelligence, declarative memory, executive function, or academic achievement at ages 9–12 years, though procedural memory improved, and positive but non-significant trends favored MMN across outcomes [31]. In Tanzania, Sudfeld et al. reported no differences between MMN and placebo on intelligence or executive function at 11–14 years [38].
Two additional studies compared IFAZn to IFA. Caulfield et al. found no effects on intelligence at 54 months [37], and Christian et al. reported no benefit on intelligence at 7–9 years and mixed effects on executive function [33].
Motor development. Three studies reported on motor outcomes. Prado et al. found no effect on fine motor dexterity [31]. By contrast, Christian et al. observed poorer motor performance, on the MABC and finger-tapping tests, among children exposed to maternal IFAZn or MMN compared with IFA [33]. Their analysis suggested that adding zinc may have attenuated iron’s positive effect on motor outcomes, possibly due to reduced iron absorption [44,45].
Socio-emotional development. All available studies consistently found no effect of maternal MMN supplementation on socio-emotional outcomes [31,37,38,39].

Infant and Young Child Supplementation

Three studies assessed MMN supplementation or point-of-use fortification with MNPs in early childhood (Table 1). In Nepal, Murray-Kolb et al. reported no effects of preschool IFAZn supplementation on intellectual, executive, or motor function at 7–9 years, aside from a positive effect on Stroop test performance [34]. In Tanzania, 18 months of supplementation with multivitamins containing vitamins B-complex, C, and E, with or without 5 mg of zinc, showed no greater effects on intelligence, executive function, or mental health at ages 6–8 years compared with zinc alone or placebo [38]. In Pakistan, use of MNPs from 6–24 months had no effect on cognition, motor, or socio-emotional outcomes at 4 years, although pre-academic skills improved relative to non-supplemented children, and responsive stimulation had a greater effect size [35].
Overall, these findings suggest no consistent long-term developmental benefits of MMN supplementation or MNP use in early childhood, though evidence remains limited and inconclusive.

Combined Maternal and Child Supplementation

One study examined combined maternal and child IFAZn supplementation [36]. At ages 7–9 years, children in the combined supplementation group performed worse on backward digit span, motor tasks (MABC, finger-tapping), and the Stroop test, though intelligence scores (UNIT) were unaffected.

Effect Direction Results for Developmental Outcomes in the Included Studies

Table 4 presents the effect direction plot for cognitive, motor, and behavioral development outcomes across the 10 included studies. For cognitive development, one study demonstrated a positive effect, none reported a negative effect, and all showed mixed or conflicting results across at least one cognitive domain. For motor development, three studies reported negative effects, while another three reported conflicting or unclear results; no study demonstrated a positive effect. The sign test for motor outcomes yielded a p-value of 0.25. For behavioral development, six studies reported conflicting or unclear findings, while one study identified a positive effect.

Discussion

This systematic review investigated the potential long-term effects of MMN supplementation during pregnancy and lactation, as well as point-of-use fortification with MNPs during early childhood, on children’s cognitive and developmental outcomes in LMICs. Across ten (cluster)randomized controlled trials, the interventions were evaluated in children aged 4–14 years. The findings suggest that maternal MMN supplementation may contribute to small improvements in certain/selected cognitive outcomes, while the evidence for long-term effects of MNPs in early childhood remains limited and inconsistent. Variation in results across studies likely reflects differences in study design, baseline nutritional status, environmental exposures, timing and frequency of follow-up assessments, and methodological inconsistencies in cognitive testing.
Evidence from observational studies of single nutrients, such as iron, has suggested potential cognitive benefits. However, the absence of strong and consistent effects of MMN supplementation may reflect a “dilution effect,” where benefits are masked by other determinants of child development, including adequate dietary intake, illness, medications, and psychosocial stimulation [46]. While many individual studies reported non-significant findings, the overall trend indicates modest improvements in cognitive outcomes for children whose mothers received MMNs, suggesting that these effects are unlikely to be explained by chance alone (Prado et al. [31]). For example, Prado et al. observed improvements in procedural memory, whereas Zhu et al. reported small gains in full-scale Intelligence Quotient (IQ) and working memory at ages 10–14 years [39,41]. Conversely, Prado et al. also reported no significant effects on intelligence, declarative memory, executive function, or academic achievement at ages 9–12 years [31], and Sudfeld et al. found no significant improvements in intelligence, executive function, or mental health [38].
Postnatal interventions with MNPs similarly show mixed findings. A trial in Pakistan providing MNPs from 6–24 months reported no long-term effects on intelligence, executive function, motor development, or socio-emotional outcomes at 4 years, although pre-academic skills improved, particularly when nutrition interventions were paired with responsive stimulation [35]. One study of continuous supplementation with IFAZn from pregnancy through early childhood found mixed results at 7–9 years: children showed slightly lower performance on backward digit span and finger tapping tasks but higher scores on motor coordination and Stroop tasks, with no difference in general intelligence [36]. As this remains the only study examining sustained maternal-child supplementation, evidence is insufficient to draw firm conclusions about the long-term cognitive benefits of continuous interventions.
Long-term effects of prenatal supplementation with individual nutrients have also been limited. For example, supplementation with n-3 long-chain fatty acids showed no significant effect on IQ at 7 years [47], likely because cognitive development by this age is influenced by multiple factors, including home stimulation, schooling, illness, and diet. Psychosocial stimulation within the home has consistently been shown to exert a stronger effect on child cognition than nutrition interventions alone [31,48,49]. Moreover, subgroup analyses suggest that MMN supplementation may be more beneficial for children of mothers with micronutrient deficiencies or anemia, with population-level effects diluted and not statistically significant [31].
Systematic reviews and meta-analyses support the notion of modest benefits. One review of prenatal and postnatal interventions found that combined micro- and macronutrient supplementation had small effects on cognitive development in children under 2 years, compared with single-nutrient interventions [24,50]. Recent trials since Leung et al. (2011) further suggest that maternal MMN supplementation may have small long-term benefits, though findings are inconsistent and rarely statistically significant [24,37]. A meta-analysis of 20 trials (1970–2008) that assessed the effects of supplementing children with at least three micronutrients compared to placebo found slight improvements in fluid intelligence, reflecting reasoning ability and neurological potential, but no effect on crystallized intelligence, which reflects acquired knowledge [51,52,53].
Overall, maternal MMN supplementation and early childhood MNP interventions may support modest improvements in specific cognitive domains, including procedural memory, working memory, and pre-academic skills. However, effects are inconsistent across studies and populations, and are often overshadowed by environmental, educational, and social influences. Given the limited number of long-term trials, particularly those evaluating continuous maternal-child supplementation, definitive conclusions cannot yet be drawn. Further high-quality research is needed to determine whether sustained interventions across the maternal-child continuum can produce measurable cognitive benefits into later childhood and adolescence.

Limitations and Future Research Recommendations

Most included studies were not specifically powered to assess long-term cognitive outcomes. Heterogeneity in assessment tools, timing of evaluations, and active comparators, such as IFA supplementation, may have diluted intervention effects. Baseline micronutrient status and dietary intakes were often unreported, and socio-environmental factors were rarely considered, despite their strong influence on cognitive outcomes.
Future research should prioritize larger, long-term randomized controlled trials and the development of culturally appropriate cognitive assessment tools for LMIC contexts. Evaluating continuous maternal-child supplementation programs and exploring the mechanisms underlying both positive and negative effects of MMN supplementation are also warranted. Additionally, the interactions between nutrition, socio-emotional stimulation, and education should be examined to optimize cognitive outcomes.

Conclusion

Maternal MMN supplementation during pregnancy and lactation may have modest long-term effects on cognitive development, while point-of-use MNP fortification in early childhood shows limited evidence for cognitive benefits. Observed trends suggest potential positive effects, but evidence is insufficient to support formal public health recommendations aimed solely at improving long-term cognitive outcomes. Evidence for other health benefits, including improved birth outcomes and reduction of anaemia, remains strong, underscoring the importance of continued supplementation programs. Future adequately powered trials with multiple follow-up assessments are needed to clarify the long-term effects of MMN and MNP interventions on cognitive development.

Public Health Recommendations

While the evidence for long-term cognitive benefits of MMN supplementation and point-of-use MNP fortification remains limited, strong evidence supports other health benefits. Maternal MMN supplementation improves birth outcomes, reducing the risk of low birth weight and small-for-gestational-age births. Point-of-use MNPs effectively improve iron status and reduce anemia in infants and young children. Accordingly, WHO recommendations to replace IFA with MMN during pregnancy and lactation and to use iron-containing MNPs for children aged 6–23 months and 2–12 years should remain unchanged.
Sustainable approaches, including the use of local nutrient-rich foods and fortified products, should be promoted, particularly in contexts where supplementation programs rely on external funding. Integration of nutrition interventions with education and socio-emotional stimulation is essential to maximize developmental outcomes and support broader goals, including Sustainable Development Goal 4 on quality education.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org.

Author Contributions

SA, CL, DP, and KTH conceptualized the review. SA developed the search strategy and conducted the database searches. SA and AW screened records and full texts, determined study eligibility, extracted data, and drafted the manuscript. CL reviewed the search strategy and database searches. Any issues regarding article eligibility were discussed and resolved by SA, CL, and AW. All authors reviewed, provided input on, and approved the final version of the manuscript.

Funding

This publication was funded by the European Union under the project “Knowledge and Research for Nutrition”. The Nutrition Research Facility is implemented by Agrinatura. Its contents are the sole responsibility of the authors and do not necessarily reflect the views of the European Union or Agrinatura.

Data Availability

All relevant data can be found within the manuscript and supporting materials.

Conflict of Interest

None of the authors has/have a conflict of interest to declare.

Disclaimer

To the best of our knowledge, much of the analysis draws on the report “Multiple micronutrient supplementation during pregnancy, lactation, and early childhood and the long-term cognitive development: Systematic literature review”, available online at https://www.nutrition-research-facility.eu/IMG/pdf/nrf-report-micronutrient_october2024.pdf.

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Figure 1. Effect of micronutrient supplementation during pregnancy and lactation, and early childhood on long-term development of children.
Figure 1. Effect of micronutrient supplementation during pregnancy and lactation, and early childhood on long-term development of children.
Preprints 183493 g001
Table 1. Summary of measures and results of articles included in systematic review [54].
Table 1. Summary of measures and results of articles included in systematic review [54].
Reference Study design and sample Outcomes Intervention/Duration Measures Results SMD [95% Confidence Interval]
Supplementation of women during pregnancy and lactation
Caulfield et al. [37] RCT
184 children
(Peru, 2003-2010)
(1)cognitive development, (3)behavioural development

4–5 years
Zinc + folic acid + iron vs. IFA
Daily, 10-16 gestational week until 1 month postpartum
(1)Wechsler Preschool & Primary Scale of Intelligence ↔1,3 -0.04 [-0.33, 0.25]
(1)Language development, bear story 0.02 [-0.27, 0.32]
(1)Number concepts, counting game 0.02 [-0.28, 0.32]
(1)Goodenough & Harris Draw-a-Person Test -0.11 [-0.42, 0.19]
(1)Interpersonal understanding, friendship interview -0.16 [-0.47, 0.15]
(3)Vineland Adaptive Behaviour Scales
Communication
Daily living skills
Socialization
Motor skills

-0.11 [-0.40, 0.18]
0.06 [-0.23, 0.35]
0.06 [-0.23, 0.36]
0.04 [-0.25, 0.34]
(3)Preschool Behaviour Questionnaire
Internalizing
Externalizing

0.13 [-0.16, 0.42]
0.06 [-0.23, 0.35]
Christian et al. [33] Cluster RCT
281 children (Nepal, 2007-2009)
(1)cognitive development, (2)motor development

7–9 years
Zinc + folic acid + iron + VA vs. IFA + VA
Daily supplementation from 11 (±5.1) gestational week until up to 12 weeks postpartum
(1)The Universal Non-Verbal Intelligence Test (UNIT)a ↔1a
↔1b
↓1c
↓1d
↓2a
↓2b
-0.17 [-0.41, 0.08]
(1)Executive function
Go/No-go testb
Stroop test(proportion who failed)c
Backward digit spand

-0.22 [-0.46, 0.03]
0.33 [0.09, 0.57]
-0.33 [-0.57, -0.08]
(2)The Movement Assessment Battery for Children (MABC)a* 0.33 [0.08, 0.57]
(2)Finger-tapping testb -0.41 [-0.66, -0.17]
Christian et al. [33] Cluster RCT
321 children (Nepal, 2007-2009)
(1)cognitive development, (2)motor development

7–9 years
MMNs + VA vs. IFA + VA
Daily supplementation from 11 (±5.1) gestational week until up to 12 weeks postpartum
(1)The Universal Non-Verbal Intelligence Test (UNIT)a ↓1a
↔1b
↔1c
↓1d
↓2a
↓2b
-0.26 [-0.49, -0.02]
(1)Executive function
Go/No-go testb
Stroop test(proportion who failed)c
Backward digit spand

-0.00 [-0.24, 0.23]
0.20 [-0.03, 0.44]
-0.36 [-0.60, -0.13]
(2)The Movement Assessment Battery for Children (MABC)a* 0.32 [0.09, 0.56]
(2)Finger-tapping testb -0.45 [-0.69, -0.22]
Dulal et al. [40] RCT
813 young adolescents
(Nepal, 2015-2016)
(1)cognitive development

12 years
UNIMMAP MMNs vs. IFA
Daily supplementation between 12 weeks gestation until childbirth.
(1)The Universal Non-Verbal Intelligence Test (UNIT) ↔1 0.09 [-0.05, 0.23]
(1)Executive function using a counting Stroop test 0.10 [-0.04, 0.24]
Prado et al. [31] Cluster RCT
2879 children and young adolescents
(Indonesia, 2012-2014)
(1)cognitive development, (2)motor development, (3)behavioural development

9–12 years
UNIMMAP MMN vs. IFA
Daily supplementation between enrolment (34% in 1st trimester, 43% in 2nd trimester, and 23% in 3rd trimester) and 3 months postpartum
(1)General intellectual abilitya
(1)Declarative memoryb
(1)Procedural memoryc
(1)Executive functiond
(1)Academic achievemente
↔1a
↔1b
↑1c
↔1d
↔1e
↔2
↔3
0.09 [-0.03, 0.22]
0.01 [-0.09, 0.11]
0.11 [0.01, 0.20]
0.07 {-0.04, 0.19]
0.08 [-0.05, 0.21]
(2)Fine motor dexterity -0.07 [-0.16, 0.02]
(3)Socio-emotional health 0.06 [-0.04, 0.16]
Sudfeld et al. [38] RCT
446 young adolescents
(Tanzania, 2015-2017)
(1)cognitive development, (3)behavioural development

11–14 years
IFA + MVs vs. IFA + Placebo
Daily supplementation from 12-27 gestational weeks to 6 weeks after childbirth
(1)General Intelligencea (Atlantis, Footsteps, Hand movement, Kilifi naming test, Koh’s block design test, Story completion, and verbal fluency) ↔1, 3 -0.02 [-0.20, 0.17]
(1)Executive functionb (Literacy, Numeracy, NOGO, People search, ROCF copy, ROCF recall, and Shift) 0.00 [-0.19, 0.19]
(3)Mental health.(SDQ and the Behaviour Rating Inventory of Executive Function (BRIEF) to assess mental health) 0.05 [-0.14, 0.23]
Zhu et al. [39,41] Cluster RCT
1385 children and young adolescents (China, 2016)
(1)cognitive development, (3)behavioural development

10–14 years
UNIMMAP MMN vs. IFA
Daily supplementation from 13.8 (±5.8) gestational weeks to childbirth.
(1)Adolescent full-scale intelligence quotient and aspects of verbal comprehension, working memory, perceptual reasoning, and processing speed indexes were assessed by the Wechsler Intelligence Scale for Children ↑1
↔3
0.13 [0.03, 0.24]
(3)Internalizing, externalizing, and total behaviour problem scores 0.05 [-0.06, 0.16]
Supplementation of infants and young children
Murray-Kolb et al. [34] Cluster RCT
377 children
(Nepal, 2007-2009)
(1)cognitive development, (2)motor development

7–9 years
IFAZn vs. Placebo
Daily supplementation from 12–35 months of age (length of supplementation depended on age at enrolment)
(1)The Universal Non-Verbal Intelligence Test (UNIT)a ↔1a,1c,1d
↑1b
↔2a,2b
0.11 [-0.10, 0.31]
(1)Stroop test (proportion who failed)b -0.29 [-0.50, -0.09]
(1)Backward digit spanc 0.18 [-0.02, 0.39]
(1)Go/No-Go testd -0.13 [-0.34, 0.07]
(2)The Movement Assessment Battery for Children (MABC)a* -0.12 [-0.32, 0.08]
(2)Finger-tappingb 0.18 [-0.02, 0.39]
Sudfeld et al. [38] RCT
365 children
(Tanzania, 2015-2017)
(1)cognitive development, (3)behavioural development

6–8 years
MVs vs. No MVs
Daily supplementation for 18 months. 1-6 months old infants received one dose daily. Infants received two doses daily from 7 mos.

2x2 Factorial design provided (1) Zn+MVs (n=66); (2) Zn (n=101); (3) MVs (n=106); (4) Placebo (n=92).

The analysis of MVs (group 1 and 3) vs. no MVs (group 2 and 4)
(1)General Intelligencea (Atlantis, Footsteps, Hand movement, Kilifi naming test, Koh’s block design test, Story completion, and verbal fluency) ↔1,3 0.00 [-0.21, 0.21]
(1)Executive functionb (Literacy, Numeracy, NOGO, People search, ROCF copy, ROCF recall, and Shift) 0.00 [-0.21, 0.21]
(3)Mental health.(SDQ and the Behaviour Rating Inventory of Executive Function (BRIEF) to assess mental health) 0.08 [-0.10, 0.26]
Yousafzai et al. [35] Cluster RCT
1302 children
(Pakistan, 2013)
(1)cognitive development, (2)motor development, (3)behavioural development

4 years
MNP vs. No MNP
Daily supplementation from (6 months –24 months).
(1)Cognitive capacity including
Intelligent quotienta
Executive functionb
Pre-academic skillsc
↔1a,1b,2,3
↑1c

-0.10 [-0.21, 0.02]
-0.03 [-0.15, 0.09]
0.16 [0.05, 0.27]
(2)Motor development 0.11 [-0.01, 0.24]
(3)Social-emotional development
Pro-social behaviours
Behavioural problems

-0.09 [-0.20, 0.01]
-0.02 [-0.13, 0.09]
Supplementation of women during pregnancy and lactation and of infants and young children
Christian et al. [36] Cluster RCT
223 children (Nepal, 2007-2009)
(1)cognitive development, (2)motor development

7–9 years
M-IFAZn C-IFAZn vs. M-IFA C-Pl
Daily maternal supplementation from 11 (±5.1) gestational week until up to 12 weeks postpartum, and preschool daily supplementation from 12–35 months of age (length of supplementation depended on age at enrolment)
(1)The Universal Non-Verbal Intelligence Test (UNIT)a ↔1a, 1d
↓1b
↓1c
↓2a
↓2b
-0.16 [-0.43, 0.10]
(1)Stroop test (proportion who failed)b 0.40 [0.13, 0.66]
(1)Backward digit spanc -0.44 [-0.71, -0.18]
(1)Go/no-go testd -0.22 [-0.48, 0.05]
(2)The Movement Assessment Battery for Children (MABC)a* 0.34 [0.07, 0.61]
(2)Finger-tappingb -0.46 [-0.72, -0.19]
C-IFAZn, Child IFAZn; C-Pl, Child Placebo; IFAZn, Iron + Folic acid + Zinc; M-IFA, Maternal IFA; M-IFAZn, Maternal IFAZn; MMNs, Multiple micronutrients; MNPs, multiple micronutrient powders; MVs, Multiple vitamins; NOGO, go/no go test for sustained attention and response control; RCT, Randomized controlled trial; ROCF, Rey–Osterrieth complex figure; SDQ; Strengths and Difficulties Questionnaire; SMD, standard mean difference; Zn, Zinc ; UNIMMAP, United Nations International Multiple Micronutrient Antenatal Preparation; Va, Vitamin A.
Table 2. Composition of (daily) micronutrient interventions in studies included in the systematic review [54].
Table 2. Composition of (daily) micronutrient interventions in studies included in the systematic review [54].
Vitamin A (µg RAE) B1 (mg) B2 (mg) B3 (mg) B6 (mg) B12 (µg) Folic acid (µg) Vit. C (mg) Vit. D (µg) Vit. E (mg) Iron (mg) Zinc (mg) Cu (mg) I (µg) Se (µg)
Supplementation of women during pregnancy and lactation
Caulfield et al. [37]
IFAZn
250 60 25
Christian et al. [33]
IFAZn
1000 400 60 30
Christian et al. [33]
MMNs1
1000 1.6 1.8 20 2.2 2.6 400 100 10 10 60 30 2.0
Dulal et al. [40]
UNIMMAP MMNs
800 1.4 1.4 18 1.9 2.6 400 70 5.0 10 30 15 2.0 150 65
Prado et al. [31]
UNIMMAP MMNs
800 1.4 1.4 18 1.9 1.6 400 70 200 (IU) 10 30 15 2.0 150 65
Sudfeld et al. [38]
MVs
20 20 100 25 50 800 500 30
Zhu et al. [39,41]
UNIMMAP MMNs
800 1.4 1.4 18 1.9 2.6 400 70 5.0 10 30 15 2.0 150 65
Supplementation of infants and young children
Murray-Kolb et al. [34]
IFAZn
50 12.5 10
Sudfeld et al. [38]
MVs (+Zn)
0.5 0.6 4 0.6 1.0 130 mg 60 8.0 5.0
Yousafzai et al. [35]
Sprinkle MNPs2
X X X X
IFAZn, Iron + Folic acid + Zinc; MMNs, Multiple micronutrients; MNPs, multiple micronutrient powders; MiVit., Vitamin; B1, Thiamine; B2, Riboflavin; B3, Niacin; B6, Pyridoxine; B12, Cobalamin; Cu, Copper; I, Iodine; Se, Selenium; MVs, Multiple vitamins; Zn, Zinc.Additional compositions :1 Christian et al. [33] – vitamin K (65 µg), magnesium (100 mg).2 Composition not reported in the paper. MNP contained iron, folic acid, vitamin A, and vitamin C.
Table 3. Risk of bias of the studies included in the systematic review [54].
Table 3. Risk of bias of the studies included in the systematic review [54].
Risk of bias domains
Reference D1 D2 D3 D4 D5 Overall risk of bias
Caulfield et al. [37]1 Low Low Low Low Low Low
Christian et al. [33]2 Low Low Some concerns Low Low Some concerns
Dulal et al. [40]3 Low Low Low Low Low Low
Prado et al. [31]4 Low Low Low Low Low Low
Sudfeld et al. [38]5 Low Low Low Low Low Low
Zhu et al. [39,41]6 Low Low Low Low Low Low
Murray-Kolb et al. [43]7 Low Low Low Low Low Low
Sudfeld et al. [38]8
Child follow-up
Low Low Low Low Some concerns Some concerns
Yousafzai et al. [35]9 Low Low Low Low Low Low
Christian et al. [36]2, 7 Some concerns Low Some concerns Low Low High
D1: Randomization processD2: Intervention deviationsD3: Missing outcome dataD4: Measurement of the outcomeD5: Selection of the reported resultAdditional references from the parent studies used for the evaluation of RoB: 1 Merialdi et al. [55,56]2 Christian et al. [57,58]3 Osrin et al. [59]4 Shankar et al. [60]5 Fawzi et al. [61]6 Lingxia et al. [62]7 Tielsch et al. [63,64]8 McDonald et al. [65]9 Yousafzai et al. [66].
Table 4. Effect direction plot of the long-term effects of MMN supplementation on cognitive development.
Table 4. Effect direction plot of the long-term effects of MMN supplementation on cognitive development.
Study Study Design Cognitive development Motor development Behavioral development
Caulfield et al. [37] RCT ◄► ◄►
Christian et al. [33] CRCT ◄►
Christian et al. [36] CRCT ◄►
Murray-Kolb et al. [43] CRCT ◄► ◄►
Yousafzai et al. [35] CRCT ◄► ◄► ◄►
Prado et al. [31] CRCT ◄► ◄► ◄►
Dulal et al. [40] RCT ◄►
Zhu et al. [39,41] CRCT ◄►
Sudfeld et al. [38] RCT ◄► ◄►
Sudfeld et al. [38] RCT ◄► ◄►
Study design; RCT: Randomized Controlled Trial; CRCT: Cluster Randomized Trial; Effect direction; upward arrow ▲= positive impact, downward arrow ▼= negative impact, sideways arrow ◄►= no change/mixed effects/conflicting findings; Study quality: denoted by row colour: green = low risk of bias; amber = some concerns; red = high risk of bias Sudfeld, 2019 reported on two interventions in Tanzania.
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