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Article

Low Hemoglobin Levels Are Associated with Reduced Psychomotor and Language Abilities in Young Ugandan Children

by
Margaret Nampijja
1,2,†,
Agnes M. Mutua
3,*,†,
Alison M. Elliott
2,4,
John Muthii Muriuki
3,
Amina Abubakar
3,5,6,7,
Emily L. Webb
8 and
Sarah H. Atkinson
3,9,10,*
1
Maternal and Child Wellbeing (MCW) Unit, African Population and Health Research Center, Nairobi 00100, Kenya
2
Medical Research Council, Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe P.O. Box 49, Uganda
3
Kenya Medical Research Institute (KEMRI) Wellcome Trust Research Programme, KEMRI Centre for Geographic Medicine Research-Coast, Kilifi 230-80108, Kenya
4
Department of Clinical Research, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
5
Department of Public Health, School of Human and Health Sciences, Pwani University, Kilifi 195-80108, Kenya
6
Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
7
Institute for Human Development, Aga Khan University, Nairobi 30270-00100, Kenya
8
MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
9
Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7FZ, UK
10
Department of Paediatrics, University of Oxford, Oxford OX3 9DU, UK
*
Authors to whom correspondence should be addressed.
†
These authors contribute equally to this work.
Nutrients 2022, 14(7), 1452; https://doi.org/10.3390/nu14071452
Submission received: 1 March 2022 / Revised: 22 March 2022 / Accepted: 28 March 2022 / Published: 30 March 2022
(This article belongs to the Special Issue Iron and Infant Development)
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Abstract

:
Children living in Sub-Saharan Africa are vulnerable to developmental delay, particularly in the critical first five years due to various adverse exposures including disease and nutritional deficiencies. Anemia and iron deficiency (ID) are highly prevalent in pregnant mothers and young children and are implicated in abnormal brain development. However, available evidence on the association between anemia, ID and neurodevelopment in sub-Saharan Africa is limited. Using data from the Entebbe Mother and Baby Study prospective birth cohort, we examined the effect of maternal and child hemoglobin (Hb) levels and child iron status on developmental scores in 933 and 530 pre-school Ugandan children respectively. Associations between Hb levels, iron status and developmental scores were assessed using regression analyses adjusting for potential confounders. Lower maternal and child Hb levels were associated with reduced psychomotor scores at 15 months, while only lower Hb levels in infancy were associated with reduced language scores. We found no evidence that anemia or ID was associated with cognitive or motor scores at five years. This study emphasizes the importance of managing anemia in pregnancy and infancy and highlights the need for further studies on the effects of anemia and ID in children living in Sub-Saharan Africa.

1. Introduction

About 81 million pre-school children in low- and middle-income countries have delayed cognitive and socioemotional development and 43.8% of these children live in Sub-Saharan Africa [1]. African children are vulnerable to developmental delay due to exposure to various risk factors including inadequately stimulating home environments, infections, malnutrition and micronutrient deficiencies [1,2]. Iron deficiency (ID) accounts for over 40% of all anemia cases and children living in Sub-Saharan Africa have the highest burden of ID and anemia globally [3,4]. It is estimated that approximately 60% of pre-school children living in Africa are anemic and 52% are iron deficient [3,5]. Additionally, 38% of pregnant women are anemic (Hb < 11 g/dL) globally and of these women, 46.3% live in Africa [6,7].
Animal and in vitro studies suggest that iron may influence neurobehavioral outcomes through its role in brain development. Studies report that iron is important for neurotransmitter synthesis and function, myelin formation, and DNA synthesis and repair in the brain [8,9,10]. In animal studies, ID is linked to impaired learning, memory function and behavioural changes which may be reversed by iron supplementation [11,12,13], however in other studies, the detrimental effects of ID are long lasting and cannot be reversed with iron supplementation [14,15]. Despite the high prevalence of anemia and ID in Sub-Saharan Africa, few studies have investigated its impact on early developmental outcomes and findings from these studies were mixed (Supplementary Table S1). There is also limited evidence on the longitudinal effects of anemia and ID prenatally and in early childhood on neurobehavioral outcomes assessed at different timepoints in pre-school African children. Only two cohort studies have evaluated the relationship between Hb, iron status and neurobehavioral outcomes in young African children. One multi-country study reported associations between child Hb, iron status and motor and language development in children at 18 months but reported no associations between maternal Hb, iron status and child development [16]. In one cohort, an inverted U-shaped association was reported between maternal Hb during pregnancy and motor development at one year, but maternal iron status was not associated with child development [17,18].
Using data from a large longitudinal, prospective birth cohort study, the Entebbe Mother and Baby Study (EMaBS), our study addressed three aims assessing: (1) the effect of Hb levels during pregnancy and early childhood on developmental scores at 15 months; and (2) at five years of age; and (3) the effect of ID and IDA at two years of age on developmental scores at five years of age.

2. Materials and Methods

2.1. Study Design and Setting

The Entebbe Mother and Baby Study (EMaBS) prospective birth cohort began as a double-blind placebo-controlled randomized controlled trial of the effects of anthelminthic treatment in pregnancy and childhood on immunological and disease outcomes in childhood (ISRCTN32849447), as described elsewhere [19]. Briefly, pregnant women were enrolled into the EMaBS during their first antenatal care clinic visit at Entebbe hospital and randomized to receive either albendazole or placebo and praziquantel or placebo in a 2 × 2 factorial design. Their children formed the EMaBS birth cohort that was followed up from birth with scheduled annual visits when anthropometric measurements and blood samples were taken. At age 15 months, children were randomized to receive either quarterly albendazole or placebo up to five years of age. Maternal health and sociodemographic data were collected at enrolment. Children were actively followed up and tested for malaria and other infections during quarterly visits to the study clinic. Maternal Hb levels were measured at enrolment during the second or third trimester of pregnancy while Hb levels were measured annually in children. Mothers with Hb levels < 8 g/dL (n = 54) were treated with albendazole and excluded from the study at enrolment. Biomarkers of iron status were measured at two years of age while child developmental scores were assessed at 15 months and five years using locally adapted tools.
The aims of the current study were: (1) to assess the effect of maternal Hb levels and mild anemia during pregnancy, and Hb levels and moderate anemia in children at one year on developmental scores at 15 months; (2) to assess the effect of maternal and childhood Hb levels and any moderate anemia event at or below five years of age on developmental scores at five years of age; and (3) to assess the effects of ID and IDA at two years of age on developmental scores at five years of age (Figure 1).

2.2. Laboratory Procedures and Definitions

Hb levels and mean corpuscular volume (MCV) in mothers and children were measured using the Coulter analyser (Beckman Coulter AC-T 5 diff CP; Beckman Coulter, Nyon, Switzerland). Measures of iron status included plasma ferritin (chemiluminescent microparticle immunoassay [CMI], Abbott Architect, IL, USA), soluble transferrin receptor (sTfR) (Human sTfR ELISA, BioVendor, Brno-Řečkovice, Czech Republic), transferrin (CMI, Abbott Architect, IL, USA), hepcidin (DRG hepcidin 25 [bioactive] High Sensitive enzyme-linked immunosorbent assay [ELISA] kit, DRG Diagnostics, Springfield, NJ, USA) and C-reactive protein (CRP) levels (MULTIGENT CRP Vario assay, Abbott Architect, IL, USA). Inflammation was defined as CRP > 5 mg/L [20], while iron deficiency (ID) was defined using the WHO recommended definition as plasma ferritin < 12 μg/L in the absence of inflammation or <30 μg/L in the presence of inflammation [21]. Mild anemia was defined as Hb < 11 g/dL, moderate anemia as Hb < 10 g/dL and severe anemia as Hb < 7 g/dL after adjusting for altitude (1000 m above sea level) by subtracting 0.2 g/dL from all Hb values [22]. Iron deficiency anemia (IDA) was defined as the presence of both ID and mild anemia. Microcytic anemia was defined as Hb < 10 g/dL and MCV < 80 fL, anemia associated with malaria was defined as Hb < 10 g/dL and malaria parasitemia and anemia associated with stunting was defined as Hb < 10 g/dL with stunting. A clinical malaria episode was defined as parasitemia and temperature > 37.5 °C. Anthropometry data i.e., height, and weight were transformed into height-for-age (HAZ), weight-for-age (WAZ), weight-for-height (WHZ) z-scores using the WHO z-anthro program, and categorised into stunting (HAZ < −2 SD), underweight (WAZ < −2 SD) and wasting (WHZ < −2 SD) respectively [23].

2.3. Developmental Assessments

At age 15 months, motor and cognitive abilities were assessed using measures that were developed or translated within the East African region. These included two measures of executive function, the A-not-B task and a self-control (delay inhibition) task, previously translated and used in rural Kenya [24]. Infants’ language, self-care and recognition of self and others were determined using caregiver reports [24]. Fine-motor and gross-motor function were tested using psychomotor ratings in the Kilifi Developmental Inventory [25]. The measures used at age 15 months are summarized in Supplementary Table S2. As previously reported, the measures had high inter-rater reliability, and principal components analysis revealed that psychomotor tasks loaded on the same component while cognitive measures loaded on another component [26]. For the current analyses, we grouped the 15-month scores into four domains: [1] executive function, a sum of A not B task and self-control scores; [2] psychomotor, a sum of fine-motor and gross-motor scores; [3] social cognition, a sum of self-care and recognition of self and others; and [4] language scores.
At five years, cognitive and motor assessments were performed using thirteen measures. In the current analyses, we excluded four tests (counting span, running memory, shapes task and tower of London) that were administered to only a small proportion (<20%) of the children. For the remaining nine tests, we used principal components analysis to generate scores for three components of child development: verbal and non-verbal intelligence quotient (IQ), executive function (EF) and motor ability (Supplementary Table S3). We further excluded the tap one tap twice task and sentence repetition tests, which did not load well on the IQ, EF, or motor ability components. Details of the translation and validation of all the tests are described elsewhere [27]. In a small pilot study, the tests had good internal consistency (Cronbach’s alpha = 0.65–0.82) and test-retest reliability (correlation coefficient (r) = 0.45–0.88) except the Wisconsin card sort test (r = 0.22) which was administered to only 19 children in the pilot study [27]. The tests used at age five years are summarized in Supplementary Table S4.

2.4. Statistical Analyses

Statistical analyses were conducted using STATA version 15.1 (StataCorp, College Station, TX, USA). Participant socio-demographic and health characteristics, iron and hemoglobin profiles and developmental scores were described using means and standard deviations or confidence intervals, or median and interquartile ranges for continuous variables and proportions for binary variables. A total household asset score of six was derived using principal components analysis with one indicating lowest and six indicating highest household socioeconomic status.
All developmental scores at 15 months were skewed and were therefore inversely normal transformed. Developmental scores at five years were normally distributed. Univariable linear regression analysis and a p-value cut-off <0.05 were used to identify potential confounding factors to include as covariates in further analyses. To examine associations between anemia/ iron status and developmental scores at 15 months and five years we then conducted multivariable linear regression analyses adjusted for the identified confounding factors. In secondary analyses we explored associations between iron profiles corrected for inflammation and malaria using a regression-correction approach proposed by the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project, which accounts for the linear effects of inflammation and/or malaria on iron biomarkers [5,28] and five-year developmental scores. We were not able to explore the effects of severe anemia on development due to limited power as only 32 (3.4%) children had severe anemia. We were also not able to evaluate the effects of different etiologies of anemia as most children who had anemia associated with malaria or stunting also had microcytic anemia. We performed subgroup analyses to explore the effects of combined maternal and child anemia on developmental scores at 15 months. We further fitted multivariable fractional polynomial models to allow for nonlinear effects of maternal or child Hb levels on developmental scores at 15 months.

3. Results

3.1. Characteristics of Study Participants

We included 933 mothers with Hb measurements during pregnancy and 933 children with Hb measurements at one year and developmental scores at 15 months in analyses for aim one. A total of 726 children had complete data for analyses assessing associations between Hb levels/any moderate anemia event below five years and developmental scores at five years (aim two), while 530 children had iron profiles at two years and developmental scores at five years and were included in the analyses for aim three. Mean maternal age was 24 years, about half of the women had secondary or tertiary education, and over 50% had two to four children at enrolment (Supplementary Table S5). All maternal characteristics were similar for all three analysis groups (Supplementary Table S5). Table 1 shows the characteristics of children who were included in each analysis. Approximately half of the children were male. Stunting was more common (13.9% at 12 months, 26.3% at five years) than underweight or wasting in this study population. Malaria was common, with 28% and 59% of children having had at least one episode of clinical malaria in infancy and in the first five years, respectively. Approximately 5% of 12-month-olds and 14% of five-year-olds had asymptomatic malaria parasitemia at annual review. At one year, 2.4% of children had helminth infections; 19.3% had helminthic infections at five years (Table 1).
The prevalence of ID and anemia and the distribution of individual iron markers, Hb and CRP are shown in Table 2. About 36% and 15.8% of mothers had mild or moderate anemia during pregnancy, respectively. In children, the prevalence of mild, moderate, and severe anemia at 12 months of age was 76.3%, 46.7% and 3.4% respectively and decreased to 13.6%, 4.4% and 0.6% at five years of age, respectively. The prevalence of microcytic anemia and anemia associated with stunting or malaria at 12 months was 45.8%, 7.3% and 4.3% respectively and decreased to 2.5%, 1.9% and 1.4% at five years of age, respectively. About 47.1% of children had at least one episode of moderate anemia during the one to five years of follow-up while at age 2 years, almost a third of children had ID and 18.6% had IDA.

3.2. Associations between Participant Characteristics and Developmental Scores at 15 Months and Five Years

Median and interquartile ranges for the individual developmental scores at 15 months and 5 years are shown in Supplementary Table S6. In multivariable analyses, girls had lower psychomotor scores at 15 months and higher IQ and motor ability scores at five years compared to boys. Malaria parasitemia at annual review was associated with lower IQ at five years. Stunted children had lower psychomotor, social cognition and language scores at 15 months and lower executive function scores at 5 years compared to non-stunted children. Low socioeconomic status was associated with lower language scores at 15 months and lower executive function at five years, while secondary or tertiary maternal education was associated with higher motor scores at 15 months and higher IQ and executive function at five years compared to primary or no maternal education, as previously reported [26,29] (Supplementary Tables S7 and S8).

3.3. Anemia during Pregnancy Is Associated with Reduced Psychomotor Scores in Children at 15 Months

In multivariable analyses, lower maternal Hb levels and mild or moderate anemia during pregnancy were independently associated with lower psychomotor scores at 15 months after controlling for infant Hb levels, but were not associated with executive function, social cognition, or language scores (Table 3 and Table 4).

3.4. Lower Hemoglobin Levels at 12 Months of Age Are Associated with Reduced Psychomotor and Language Scores at 15 Months

In children, lower Hb levels at 12 months were independently associated with reduced psychomotor and language scores after controlling for maternal Hb levels and other covariates at 15 months in adjusted models (Table 3). Moderate anemia at 12 months was similarly associated with reduced psychomotor scores at 15 months (Table 4). Hb levels and anemia were not associated with executive function or social cognition. We found no evidence of non-linear associations between maternal or child Hb levels and developmental scores at 15 months using fractional polynomial models.
In subgroup analyses, combined maternal anemia in pregnancy and child anemia at 12 months was strongly associated with reduced psychomotor scores at 15 months (Table 4). We found an interaction between maternal and child anemia in predicting psychomotor scores so that the combined effect of both being born to a mother who was anemic during the pregnancy and having anemia in childhood was larger than the product of the individual effects of each condition (β = −0.28; 95% CI: −0.56, −0.01; p value = 0.04). We did not find any interactions between maternal and child anemia in predicting other developmental scores.

3.5. Hemoglobin Levels and Anemia in Mothers and Children Are Not Associated with Developmental Scores at Five Years

We observed no evidence of association between maternal or child Hb levels, or any moderate anemia event between one to five years of age, and verbal and non-verbal IQ, executive function, or motor ability at five years of age (Table 5, Supplementary Table S9, and Supplementary Figure S1).

3.6. Iron Status at Two Years Was Not Associated with Developmental Scores at Five Years

We found no evidence of an association between iron status at two years and developmental scores at five years of age in multivariable analyses. In univariable analyses, we observed associations between ID, ferritin and transferrin levels and executive function scores but these effects were not observed after adjusting for potential confounders (Table 6). Similarly, in secondary analyses we observed no associations between iron profiles and developmental scores at five years of age after correcting markers of iron status for inflammation and malaria using the BRINDA approach [28] (Supplementary Table S10).

4. Discussion

About 29.5 million pre-school children in Sub-Saharan Africa experience developmental delay [1]. Similar to previous findings in the same cohort, we observed associations between sex, household socioeconomic status, maternal education, stunting, malaria parasitemia and developmental scores at fifteen months and five years [26,29]. Anemia and lack of sufficient iron in early childhood are thought to impair the development of motor and cognitive functions. The present study examined the effect of maternal and child anemia on developmental scores at fifteen months and five years and iron deficiency (ID) at two years on developmental scores at five years in a birth cohort of pre-school Ugandan children. About 36% and 15.8% of mothers had mild (Hb < 11 g/dL) and moderate anemia (Hb < 10 g/dL) respectively during pregnancy. At one year of age, 76.3%, 46.7% and 3.4% of children had mild, moderate, and severe anemia, respectively, while at five years 13.6%, 4.4% and 0.6% of children had mild, moderate and severe anemia, respectively. At two years of age, 31.2% and 18.6% of children had ID and IDA, respectively. Low Hb levels and anemia in mothers during pregnancy and at 12 months in children were associated with reduced psychomotor scores at 15 months. Lower Hb levels at 12 months were also associated with reduced language scores at 15 months. However, we did not observe associations between maternal or child Hb levels, or any moderate anemia event below five years and cognitive or motor scores at five years. We also found no evidence that iron profiles at two years predicted developmental scores at five years.
Lower maternal Hb levels and anemia during pregnancy were associated with reduced psychomotor scores at 15 months after controlling for potential confounders including infant Hb levels. Reduced maternal Hb levels in pregnancy may be caused by various factors including ID, infections such as malaria and helminths, and hemodilution. About 50 % of the cases of anemia in pregnancy are attributed to ID [30]. We were not able to investigate the specific effects of maternal ID and IDA during pregnancy as maternal iron status was not measured in this cohort. A small study in China (n = 127) reported that infants with ID at birth as measured from cord blood had impaired recognition memory compared to those with sufficient iron status [31]. In contrast to our findings, one study utilizing datasets from two mother-child cohorts in Ghana (n = 1023) and Malawi (n = 675) reported no associations between maternal Hb or iron status and motor or language development in children at 18 months, which might be explained by the mothers receiving lipid-based nutrient supplementation, including iron and folic acid during pregnancy [16]. A cohort study of Beninese mother-child pairs (n = 636) reported an inverted U-shaped association between maternal Hb levels and infant gross motor scores with maternal Hb levels 9–11 g/dL being optimal for gross motor development [17] but did not observe associations between maternal iron status and cognitive, motor and language development [18]. However, we observed that maternal Hb levels above 11 g/dl were associated with improved psychomotor scores and did not identify a non-linear relationship between maternal Hb levels and developmental scores. Similar to our study, they did not observe an association between maternal Hb and language scores at one year [17]. Hemodilution, the disproportionate 50% physiologic increase in blood plasma volume with a 20–30% increase in red cell mass, occurs mostly during the second and third trimesters of pregnancy and is important to improve the transport of oxygen and nutrients to the developing fetus [32]. Low maternal Hb levels may affect child neurodevelopment through effects on fetal physiological functions that affect in utero brain development processes including neuronal migration, myelination, synaptogenesis, and development of the hippocampus, increasing the child’s susceptibility to developmental delay or disability after birth [33,34].
In the current study, we found that low Hb levels and moderate anemia in infancy were associated with reduced psychomotor scores at 15 months of age. Our findings agree with two separate cross-sectional studies (n = 1417) that reported associations between anemia (Hb < 10 g/dL), ID, and IDA and poor motor ability in Zanzibari children aged five to 19 months [35,36]. Similarly, one small cross-sectional study (n = 102) in Indonesia found that children with anemia (Hb < 11 g/dL) had lower fine motor scores compared to non-anemic children at one to two years of age [37]. In contrast to our findings, a cross-sectional study of six-month-old South African children (n = 750) reported no associations between anemia (Hb < 11 g/dL) and psychomotor scores [38]. Fewer children had mild anemia (36.4%) in that study population compared to our study (76.3%) and they did not explore the effects of moderate anemia which may explain the disparity in findings. The combined effects of anemia during pregnancy and in infancy had the largest impact, so that anemia during both time periods resulted in a much larger reduction in psychomotor development. This coincides with the period of rapid brain development, from conception up to the first 1000 days after birth [39]. Exposure to anemia during this period may have detrimental effects on brain processes involved in psychomotor development. Anemia may also affect psychomotor function through associated symptoms such as withdrawal and lethargy.
We similarly observed an association between higher Hb levels at one year and higher language scores at 15 months but found no associations with executive function or social cognition scores. In line with our findings, one study utilizing data from two child cohorts in Malawi (n = 1385) and Burkina Faso (n = 1122) reported an association between Hb levels at six to nine months and at 18 months and language development at 18 months [16]. In contrast, one cross-sectional study of 226 Egyptian children reported no association between IDA at four to six years and language scores at the same age [40]. In contrast to epidemiological studies, animal studies consistently indicate that iron may influence brain processes involved in language function through its roles in myelination and neurotransmission in the hippocampus and the cerebellum, regions that mediate attention, memory and learning processes [41,42,43]. The causes of anemia are multifactorial among children living in Africa and it is possible that anemia itself or anemia due to a specific cause may impair psychomotor development. In our study, microcytic anemia, which may have indicated ID, was common (46% of children) at 12 months of age and anemia associated with stunting or malaria was less prevalent (7.4% and 4.3%, respectively). However, we were not able to ascertain associations with specific causes of anemia in infancy as most of the children who had anemia associated with stunting or malaria also had microcytic anemia.
We found no associations between Hb levels or moderate anemia below five years and developmental scores at five years despite lower Hb levels influencing development at fifteen months. In contrast with our findings, two large cross-sectional studies of Ecuadorean (n = 3153) and Chinese (n = 1293) children reported associations between anemia (Hb < 11 g/dL) at three to six years and poor cognitive development at the same age [44,45]. It is likely that the causes of anemia may differ in Ugandan compared to Ecuadorean and Chinese children. Why might Hb levels or anemia influence developmental scores at 15 months but not at five years of age? As previously observed in African children, fewer children were moderately anemic at five years of age (4.4% compared to 46.7% at one year) and numbers were insufficient for subgroup analyses. It is possible that the effects of anemia on psychomotor and language scores observed in infancy improved as anemia resolved with increasing age. Additionally, the differing effects of anemia on development at the two time-points may be due to the influence of changes in risk factors such as household socioeconomic status, nutritional changes and preschool experience.
We found no evidence of association between iron status at two years and cognitive or motor scores at five years in agreement with one cross-sectional study of 541 Ethiopian children which reported no association between ID (serum ferritin < 12μg/L) at 54 to 60 months and cognitive scores at the same age [46]. Since inflammation and malaria alter measures of iron status, we further corrected iron biomarkers for inflammation and malaria using the BRINDA approach, but our findings were similar after this adjustment [28]. Other studies in older children provide mixed evidence for the effects of iron status on cognitive and motor development. One cohort study of 143 Icelandic children reported no associations between iron status at twelve months and six years and cognitive and motor development at six years [47] while a cohort study in Chile (n = 163) reported that IDA at 12 to 23 months was associated with impaired cognitive and motor development at five years of age [48]. One cross-sectional study in Turkey (n = 172) children reported associations between IDA at six months to six years and motor scores at the same age [49]. It is possible that the effects of ID are most marked during infancy when brain development is more rapid. The lack of association observed in our study may in part be because of the long interval between iron measurement and developmental assessments as the iron status of children may have improved during the three-year interval and the effects of previous deficits may have declined or been overtaken by other factors [5]. Two cross-sectional studies in 1417 Zanzibari children reported associations between ID and IDA at five to nineteen months and poor motor ability at the same age [35,36]. Additionally, children in our study cohort were generally healthy as indicated by the few children with severe anemia at five years. A few randomized controlled trials in African children have yielded conflicting findings with some showing significant associations between iron supplementation and developmental scores [50,51] while others did not find an effect [52,53]. Of the studies that reported beneficial effects, one included mostly anemic children and the other reported benefits in anemic compared to non-anemic children. Improvement of IDA-related symptoms such as withdrawal and lethargy following iron supplementation may result in improved developmental scores.
Despite mixed findings from epidemiological studies, animal and in vitro studies indicate that iron is important for brain development and normal growth, and its deprivation can result in brain dysfunction manifested in poor performance in developmental assessments [54,55,56]. Iron plays an important role in neurotransmission and myelination in parts of the brain including the hippocampus and the basal ganglia that are important for memory, learning processes, language and motor function [9,41,42,57,58]. Animal studies show that CNS iron decreases before restriction in red cell production occurs [56], and behavioral and cognitive function have been observed to improve with iron-replacement therapy, in many instances before an increase in Hb concentration implying that the effects of ID may manifest before IDA manifests [56,59]. However, the application of evidence from animal and in vitro studies to humans may be limited as these studies are conducted in controlled environments with limited confounders and can manipulate iron availability to extents that may not be observed in humans.
A strength of our study is the large sample size and use of both longitudinal and cross-sectional approaches to comprehensively evaluate the effects of maternal and child Hb levels and anemia on developmental scores in children. Different developmental domains were assessed at two time-points using a well-validated extensive battery of measures that were specifically adapted to Ugandan children. Also, data on a wide range of potential confounders were available to adjust for in the multivariable analyses. Our study had some limitations. Our study may not be fully representative of Ugandan children since mothers with severe anemia were excluded from the original trial and all mothers received iron and folate during antenatal care. We also included only about 40% of participants from the original EMaBS birth cohort in our analyses as developmental scores were assessed in smaller subsets of children. However, our study was adequately powered to detect the reported effect estimates. The long interval between iron measurement at two years and scores at five years may have underestimated the true effects of iron (and ID) on developmental scores. Anemia has multiple etiologies, and we were unable to ascertain whether the observed effects of anemia on developmental scores at 15 months were attributable to anemia generally or to specific causes of anemia such as ID because iron status was only assessed at two years. Future studies employing measurement of anemia and iron status and developmental scores together at several time points are recommended.

5. Conclusions

Anemia and ID were highly prevalent in our study. We report that low Hb levels during pregnancy and infancy are associated with reduced psychomotor and language scores in Ugandan children at 15 months. These findings emphasize the need to control for anemia in pregnant mothers and young children living in Sub-Saharan Africa where children are exposed to different risk factors such as infections and malnutrition. The current study contributes more evidence to the effects of anemia on early childhood development in Sub-Saharan Africa where such evidence is still scanty and not conclusive. Further well-conducted randomized controlled trials of iron supplementation are required to evaluate the causal effects of iron status on neurobehavioral outcomes in young children living in Sub-Saharan Africa where anemia and ID are common.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu14071452/s1. Figure S1: Multivariable analyses between annual hemoglobin levels and developmental scores at 5 years; Table S1: Observational studies investigating associations between anemia and iron status and neurobehavioral outcomes in African pre-school children; Table S2: Measures of motor and cognitive function used at age 15 months; Table S3: Principal component analysis, loadings on the 3 developmental components at 5 years of age; Table S4: Measures of motor and cognitive function used at age 5 years; Table S5: Maternal characteristics at enrolment; Table S6: Distribution of individual developmental measures at 15 months and 5 years of age; Table S7: Univariable and multivariable linear regression results for the associations between participant characteristics and developmental scores at 15 months; Table S8: Univariable and multivariable linear regression results for associations between participant characteristics and developmental scores at 5 years; Table S9: Univariable and multivariable linear regression results for associations between maternal hemoglobin levels and anemia during pregnancy and developmental scores at 5 years; Table S10: Univariable and multivariable linear regression results for the association between measures of iron status and anemia at two years of age and cognitive and motor scores at five years of age.

Author Contributions

M.N., A.M.M., S.H.A., A.A., E.L.W. and A.M.E. conceptualized the study and obtained the relevant data transfer authorization. A.M.E., E.L.W. and M.N. provided the datasets. M.N., A.M.M. and E.L.W. conducted the formal analysis. M.N. and A.A. validated the combination of developmental scores using principal components analyses. M.N., A.M.M. and S.H.A. wrote the first draft and M.N., A.M.M., S.H.A., J.M.M., A.A., E.L.W. and A.M.E. reviewed and edited successive drafts of the paper and approved the final version. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by Wellcome Trust [Grant numbers 209640 to A.M.M., 110255 to S.H.A., 064693, 079110, 095778 to AME] and with core awards to the KEMRI-Wellcome Trust Research Programme (203077) and by the Medical Research Council [Grant number MR/M025454/1 to AA]. For the purpose of Open Access, the authors have applied a CC-BY public copyright license to any author accepted manuscript version arising from this submission. The funders had no role in the design and conduct of the study, manuscript preparation or interpretation of the findings.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Medical Research Council (MRC)/ Uganda Virus Research Institute Research Ethics Committee (reference numbers: GC/127 and GC/127/15/04/35), Uganda National Council for Science and Technology and the London School of Hygiene and Tropical Medicine Ethics Committee (reference number: 790).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the Principal Investigator of the EMaBS study (A.M.E). The data are not publicly available due to data privacy restrictions.

Acknowledgments

We thank the participants of the EMaBS study for their voluntary participation, and the EMaBS research team for the data collection.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. McCoy, D.C.; Peet, E.D.; Ezzati, M.; Danaei, G.; Black, M.M.; Sudfeld, C.R.; Fawzi, W.; Fink, G. Early childhood developmental status in low-and middle-income countries: National, regional, and global prevalence estimates using predictive modeling. PLoS Med. 2016, 13, e1002034. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Black, M.M.; Walker, S.P.; Fernald, L.C.H.; Andersen, C.T.; DiGirolamo, A.M.; Lu, C.; McCoy, D.C.; Fink, G.; Shawar, Y.R.; Shiffman, J.; et al. Early childhood development coming of age: Science through the life course. Lancet 2017, 389, 77–90. [Google Scholar] [CrossRef] [Green Version]
  3. Kassebaum, N.J.; Jasrasaria, R.; Naghavi, M.; Wulf, S.K.; Johns, N.; Lozano, R.; Regan, M.; Weatherall, D.; Chou, D.P.; Eisele, T.P.; et al. A systematic analysis of global anemia burden from 1990 to 2010. Blood 2014, 123, 615–624. [Google Scholar] [CrossRef] [PubMed]
  4. Petry, N.; Olofin, I.; Hurrell, R.F.; Boy, E.; Wirth, J.P.; Moursi, M.; Angel, M.D.; Rohner, F. The Proportion of Anemia Associated with Iron Deficiency in Low, Medium, and High Human Development Index Countries: A Systematic Analysis of National Surveys. Nutrients 2016, 8, 693. [Google Scholar] [CrossRef]
  5. Muriuki, J.M.; Mentzer, A.J.; Webb, E.L.; Morovat, A.; Kimita, W.; Ndungu, F.; Macharia, A.W.; Crane, R.J.; Berkley, J.A.; Lule, S.; et al. Estimating the burden of iron deficiency among African children. BMC Med. 2020, 18, 31. [Google Scholar] [CrossRef] [Green Version]
  6. Stevens, G.A.; Finucane, M.M.; De-Regil, L.M.; Paciorek, C.J.; Flaxman, S.R.; Branca, F.; Peña-Rosas, J.P.; Bhutta, Z.A.; Ezzati, M.; Nutrition Impact Model Study Group (Anaemia). Global, regional, and national trends in haemoglobin concentration and prevalence of total and severe anaemia in children and pregnant and non-pregnant women for 1995–2011: A systematic analysis of population-representative data. Lancet Glob. Health 2013, 1, e16–e25. [Google Scholar] [CrossRef] [Green Version]
  7. WHO. The Global Prevalence of Anaemia in 2011; World Health Organization: Geneva, Switzerland, 2015; p. 43. [Google Scholar]
  8. Puig, S.; Ramos-Alonso, L.; Romero, A.M.; Martínez-Pastor, M.T. The elemental role of iron in DNA synthesis and repair. Metallomics 2017, 9, 1483–1500. [Google Scholar] [CrossRef] [Green Version]
  9. Todorich, B.; Pasquini, J.M.; Garcia, C.I.; Paez, P.M.; Connor, J.R. Oligodendrocytes and myelination: The role of iron. Glia 2009, 57, 467–478. [Google Scholar] [CrossRef]
  10. Youdim, M.B.H.; Green, A.R. Iron deficiency and neurotransmitter synthesis and function. Proc. Nutr. Soc. 1978, 37, 173–179. [Google Scholar] [CrossRef] [Green Version]
  11. Beard, J.L.; Felt, B.; Schallert, T.; Burhans, M.; Connor, J.R.; Georgieff, M.K. Moderate iron deficiency in infancy: Biology and behavior in young rats. Behav. Brain Res. 2006, 170, 224–232. [Google Scholar] [CrossRef]
  12. Breton, A.B.; Fox, J.A.; Brownson, M.P.; McEchron, M.D. Postnatal nutritional iron deficiency impairs dopaminergic-mediated synaptic plasticity in the CA1 area of the hippocampus. Nutr. Neurosci. 2015, 18, 241–247. [Google Scholar] [CrossRef] [PubMed]
  13. Radlowski, E.C.; Johnson, R.W. Perinatal iron deficiency and neurocognitive development. Front. Hum. Neurosci. 2013, 7, 585. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Bourque, S.L.; Iqbal, U.; Reynolds, J.N.; Adams, M.A.; Nakatsu, K. Perinatal Iron Deficiency Affects Locomotor Behavior and Water Maze Performance in Adult Male and Female Rats. J. Nutr. 2008, 138, 931–937. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Yehuda, S.; Youdim, M.E.; Mostofsky, D.I. Brain iron-deficiency causes reduced learning capacity in rats. Pharmacol. Biochem. Behav. 1986, 25, 141–144. [Google Scholar] [CrossRef]
  16. Prado, E.L.; Abbeddou, S.; Adu-Afarwuah, S.; Arimond, M.; Ashorn, P.; Ashorn, U.; Bendabenda, J.; Brown, K.H.; Hess, S.Y.; Kortekangas, E.; et al. Predictors and pathways of language and motor development in four prospective cohorts of young children in Ghana, Malawi, and Burkina Faso. J. Child Psychol. Psychiatry 2017, 58, 1264–1275. [Google Scholar] [CrossRef] [Green Version]
  17. Mireku, M.O.; Davidson, L.L.; Koura, G.K.; Ouédraogo, S.; Boivin, M.J.; Xiong, X.; Accrombessi, M.M.K.; Massougbodji, A.; Cot, M.; Bodeau-Livinec, F. Prenatal Hemoglobin Levels and Early Cognitive and Motor Functions of One-Year-Old Children. Pediatrics 2015, 136, e76–e83. [Google Scholar] [CrossRef] [Green Version]
  18. Mireku, M.O.; Davidson, L.L.; Boivin, M.J.; Zoumenou, R.; Massougbodji, A.; Cot, M.; Bodeau-Livinec, F. Prenatal Iron Deficiency, Neonatal Ferritin, and Infant Cognitive Function. Pediatrics 2016, 138, e20161319. [Google Scholar] [CrossRef] [Green Version]
  19. Webb, E.L.; Mawa, P.A.; Ndibazza, J.; Kizito, D.; Namatovu, A.; Kyosiimire-Lugemwa, J.; Nanteza, B.; Nampijja, M.; Muhangi, L.; Woodburn, P.W. Effect of single-dose anthelmintic treatment during pregnancy on an infant’s response to immunisation and on susceptibility to infectious diseases in infancy: A randomised, double-blind, placebo-controlled trial. Lancet 2011, 377, 52–62. [Google Scholar] [CrossRef] [Green Version]
  20. WHO. Serum Ferritin Concentrations for the Assessment of Iron Status and Iron Deficiency in Populations; World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  21. WHO. Guideline on Use of Ferritin Concentrations to Assess Iron Status in Populations; World Health Organization: Geneva, Switzerland, 2020. [Google Scholar]
  22. WHO. Haemoglobin Concentrations for the Diagnosis of Anaemia and Assessment of Severity; World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  23. WHO Multicentre Growth Reference Study Group; de Onis, M. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr. 2006, 95, 76–85. [Google Scholar]
  24. Abubakar, A.; Holding, P.; Van De Vijver, F.J.R.; Bomu, G.; van Baar, A. Developmental monitoring using caregiver reports in a resource-limited setting: The case of Kilifi, Kenya. Acta Paediatr. 2010, 99, 291–297. [Google Scholar] [CrossRef]
  25. Abubakar, A.; Holding, P.; van Baar, A.; Newton, C.; Van De Vijver, F.J.R. Monitoring psychomotor development in a resource-limited setting: An evaluation of the Kilifi Developmental Inventory. Ann. Trop. Paediatr. 2008, 28, 217–226. [Google Scholar] [CrossRef] [PubMed]
  26. Nampijja, M.; Apule, B.; Lule, S.; Akurut, H.; Muhangi, L.; Webb, E.L.; Lewis, C.; Elliott, A.M.; Alcock, K.J. Effects of Maternal Worm Infections and Anthelminthic Treatment during Pregnancy on Infant Motor and Neurocognitive Functioning. J. Int. Neuropsychol. Soc. 2012, 18, 1019–1030. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Nampijja, M.; Apule, B.; Lule, S.; Akurut, H.; Muhangi, L.; Elliott, A.M.; Alcock, K.J. Adaptation of Western measures of cognition for assessing 5-year-old semi-urban Ugandan children. Br. J. Educ. Psychol. 2010, 80, 15–30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Namaste, S.M.; Rohner, F.; Huang, J.; Bhushan, N.L.; Flores-Ayala, R.; Kupka, R.; Mei, Z.; Rawat, R.; Williams, A.M.; Raiten, D.J. Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project. Am. J. Clin. Nutr. 2017, 106, 359S–371S. [Google Scholar] [PubMed]
  29. Nampijja, M.; Kizindo, R.; Apule, B.; Lule, S.; Muhangi, L.; Titman, A.; Elliott, A.; Alcock, K.; Lewis, C. The role of the home environment in neurocognitive development of children living in extreme poverty and with frequent illnesses: A cross-sectional study. Wellcome Open Res. 2018, 3, 152. [Google Scholar] [CrossRef] [PubMed]
  30. WHO. Nutritional Anaemias: Tools for Effective Prevention and Control; World Health Organization: Geneva, Switzerland, 2017. [Google Scholar]
  31. Geng, F.; Mai, X.; Zhan, J.; Xu, L.; Zhao, Z.; Georgieff, M.; Shao, J.; Lozoff, B. Impact of Fetal-Neonatal Iron Deficiency on Recognition Memory at 2 Months of Age. J. Pediatr. 2015, 167, 1226–1232. [Google Scholar] [CrossRef] [Green Version]
  32. Blackburn, S. Maternal, Fetal, & Neonatal Physiology: A Clinical Perspective, 4th ed.; Elsevier: Amsterdam, The Netherlands, 2014; pp. 216–218. [Google Scholar]
  33. Tau, G.Z.; Peterson, B.S. Normal development of brain circuits. Neuropsychopharmacology 2010, 35, 147–168. [Google Scholar] [CrossRef] [Green Version]
  34. Bremner, J.G.; Wachs, T.D. The Wiley-Blackwell Handbook of Infant Development, Volume 2: Applied and Policy Issues; Blackwell Publishers Limited: West Sussex, UK, 2010; pp. 14–27. [Google Scholar]
  35. Kariger, P.K.; Stoltzfus, R.J.; Olney, D.; Sazawal, S.; Black, R.; Tielsch, J.; Frongillo, E.A.; Khalfan, S.S.; Pollitt, E. Iron Deficiency and Physical Growth Predict Attainment of Walking but Not Crawling in Poorly Nourished Zanzibari Infants. J. Nutr. 2005, 135, 814–819. [Google Scholar] [CrossRef] [Green Version]
  36. Olney, D.K.; Pollitt, E.; Kariger, P.K.; Khalfan, S.S.; Ali, N.S.; Tielsch, J.; Sazawal, S.; Black, R.; Mast, D.; Allen, L.H.; et al. Young Zanzibari Children with Iron Deficiency, Iron Deficiency Anemia, Stunting, or Malaria Have Lower Motor Activity Scores and Spend Less Time in Locomotion. J. Nutr. 2007, 137, 2756–2762. [Google Scholar] [CrossRef]
  37. Madanijah, S.; Sukandar, D.; Fitri, Y.; Ahmad, A. Assessment of Anemia Status on Physical Development Skills of Children Under Two Years Old in Aceh, Indonesia. J. Nutr. Sci. Vitaminol. 2020, 66, S463–S467. [Google Scholar] [CrossRef]
  38. Rothman, M.; Faber, M.; Covic, N.; Matsungo, T.M.; Cockeran, M.; Kvalsvig, J.D.; Smuts, C.M. Infant Development at the Age of 6 Months in Relation to Feeding Practices, Iron Status, and Growth in a Peri-Urban Community of South Africa. Nutrients 2018, 10, 73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Cusick, S.E.; Georgieff, M.K. The Role of Nutrition in Brain Development: The Golden Opportunity of the “First 1000 Days”. J. Pediatr. 2016, 175, 16–21. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Youssef, M.A.; Hassan, E.S.; Yasien, D.G. Effect of iron deficiency anemia on language development in preschool Egyptian children. Int. J. Pediatr. Otorhinolaryngol. 2020, 135, 110114. [Google Scholar] [CrossRef] [PubMed]
  41. Bastian, T.W.; von Hohenberg, W.C.; Mickelson, D.J.; Lanier, L.M.; Georgieff, M.K. Iron Deficiency Impairs Developing Hippocampal Neuron Gene Expression, Energy Metabolism, and Dendrite Complexity. Dev. Neurosci. 2016, 38, 264–276. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Carlson, E.S.; Tkac, I.; Magid, R.; O’Connor, M.B.; Andrews, N.C.; Schallert, T.; Gunshin, H.; Georgieff, M.K.; Petryk, A. Iron Is Essential for Neuron Development and Memory Function in Mouse Hippocampus. J. Nutr. 2009, 139, 672–679. [Google Scholar] [CrossRef] [Green Version]
  43. Krebs, N.F.; Lozoff, B.; Georgieff, M.K. Neurodevelopment: The Impact of Nutrition and Inflammation during Infancy in Low-Resource Settings. Pediatrics 2017, 139, S50–S58. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Chen, K.; Liu, C.; Liu, X.; Wang, Z.; Luo, R.; Li, S.; Yu, Y.; Alderman, H. Nutrition, Cognition, and Social Emotion among Preschoolers in Poor, Rural Areas of South Central China: Status and Correlates. Nutrients 2021, 13, 1322. [Google Scholar] [CrossRef]
  45. Paxson, C.; Schady, N. Cognitive development among young children in Ecuador the roles of wealth, health, and parenting. J. Hum. Resour. 2007, 42, 49–84. [Google Scholar] [CrossRef]
  46. Gashu, D.; Stoecker, B.J.; Bougma, K.; Adish, A.; Haki, G.D.; Marquis, G.S. Stunting, selenium deficiency and anemia are associated with poor cognitive performance in preschool children from rural Ethiopia. Nutr. J. 2015, 15, 38. [Google Scholar] [CrossRef] [Green Version]
  47. Thorisdottir, A.V.; Gunnarsdottir, I.; Palsson, G.I.; Gretarsson, S.J.; Thorsdottir, I. Iron status and developmental scores in 6-year-olds highlights ongoing need to tackle iron deficiency in infants. Acta Paediatr. 2013, 102, 914–919. [Google Scholar] [CrossRef]
  48. Lozoff, B.; Jimenez, E.; Wolf, A.W. Long-Term Developmental Outcome of Infants with Iron Deficiency. N. Engl. J. Med. 1991, 325, 687–694. [Google Scholar] [CrossRef] [PubMed]
  49. Pala, E.; Erguven, M.; Guven, S.; Erdogan, M.; Balta, T. Psychomotor Development in Children with Iron Deficiency and Iron-Deficiency Anemia. Food Nutr. Bull. 2010, 31, 431–435. [Google Scholar] [CrossRef] [PubMed]
  50. Baumgartner, J.; Smuts, C.M.; Malan, L.; Kvalsvig, J.; van Stuijvenberg, M.E.; Hurrell, R.F.; Zimmermann, M.B. Effects of iron and n-3 fatty acid supplementation, alone and in combination, on cognition in school children: A randomized, double-blind, placebo-controlled intervention in South Africa. Am. J. Clin. Nutr. 2012, 96, 1327–1338. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Stoltzfus, R.J.; Kvalsvig, J.D.; Chwaya, H.M.; Montresor, A.; Albonico, M.; Tielsch, J.; Savioli, L.; Pollitt, E. Effects of iron supplementation and anthelmintic treatment on motor and language development of preschool children in Zanzibar: Double blind, placebo controlled study. BMJ 2001, 323, 1389. [Google Scholar] [CrossRef] [Green Version]
  52. Boivin, M.J.; Giordani, B. Improvements in Cognitive Performance for Schoolchildren in Zaire, Africa, Following an Iron Supplement and Treatment for Intestinal Parasites. J. Pediatr. Psychol. 1993, 18, 249–264. [Google Scholar] [CrossRef]
  53. Bouhouch, R.R.; El-Fadeli, S.; Andersson, M.; Aboussad, A.; Chabaa, L.; Zeder, C.; Kippler, M.; Baumgartner, J.; Sedki, A.; Zimmermann, M.B. Effects of wheat-flour biscuits fortified with iron and EDTA, alone and in combination, on blood lead concentration, iron status, and cognition in children: A double-blind randomized controlled trial. Am. J. Clin. Nutr. 2016, 104, 1318–1326. [Google Scholar] [CrossRef]
  54. Beard, J.L.; Wiesinger, J.A.; Connor, J.R. Pre- and Postweaning Iron Deficiency Alters Myelination in Sprague-Dawley Rats. Dev. Neurosci. 2003, 25, 308–315. [Google Scholar] [CrossRef]
  55. Ortiz, E.; Pasquini, J.M.; Thompson, K.; Felt, B.; Butkus, G.; Beard, J.; Connor, J.R. Effect of manipulation of iron storage, transport, or availability on myelin composition and brain iron content in three different animal models. J. Neurosci. Res. 2004, 77, 681–689. [Google Scholar] [CrossRef]
  56. Yehuda, S.; Youdim, M.B. Brain iron: A lesson from animal models. Am. J. Clin. Nutr. 1989, 50, 618–629. [Google Scholar] [CrossRef]
  57. Beard, J.L. Why Iron Deficiency Is Important in Infant Development. J. Nutr. 2008, 138, 2534–2536. [Google Scholar] [CrossRef]
  58. Beard, J.L.; Connor, J.R. Iron Status and Neural Functioning. Annu. Rev. Nutr. 2003, 23, 41–58. [Google Scholar] [CrossRef] [PubMed]
  59. Dallman, P.R. Biochemical basis for the manifestations of iron deficiency. Annu. Rev. Nutr. 1986, 6, 13–40. [Google Scholar] [CrossRef] [PubMed]
Nutrients 14 01452 g001 550
Figure 1. Study design. CRP, C-reactive protein; Hb, hemoglobin levels; sTfR, soluble transferrin receptor.
Figure 1. Study design. CRP, C-reactive protein; Hb, hemoglobin levels; sTfR, soluble transferrin receptor.
Nutrients 14 01452 g001
Table
Table 1. Participant characteristics.
Table 1. Participant characteristics.
VariableAnalysis for Aim 1; Maternal Hb during Pregnancy, Child Hb 12 Months and Development at 15 Months (n = 933)Analysis for Aim 2; Annual Hb and Development at 5 Years (n = 726)Analysis for Aim 3; Iron Status at 2 Years and Development at 5 Years (n = 530)
Age at Hb/iron assessment, mean (SD)12 monthsAnnually (1–5 years)2.4 (0.8) years
Age at developmental assessment, mean (SD)15.4 (0.5) months5.0 (0.8) years5.0 (0.8) years
Sex, male, n/total (%)470/932 (50.4)355/724 (49.0)260/530 (49.1)
* Any malaria parasitemia, n (%)46/929 (5.0)102/726 (14.1)72/530 (13.7)
** Clinical malaria episodes, n (%)
None674/932 (72.3) 297/722 (41.2)216/530 (40.8)
≥1258/932 (27.7)425/722 (58.9)314/530 (59.3)
*** Helminthic infections
Schistosomiasis, n/total (%)0/877 (0)28/726 (3.9)15/530 (2.8)
Hookworm, n/total (%)2/877(0.2)19/726 (2.6)13/530 (2.5)
Any worm infection, n/total (%)21/877 (2.4)140/726 (19.3)101/530 (19.1)
Treatment with albendazole, n/total (%)462/930 (49.7)354/724 (48.9)254/530 (47.9)
Nutritional status at developmental assessment
Stunting, n/total (%)127/921 (13.8)187/710 (26.3)136/520 (26.2)
Underweight, n/total (%)79/932 (8.9)70/714 (9.8)59/523 (11.3)
Wasting, n/total (%)39/921 (4.2)53/713 (7.4)40/523 (7.7)
Household socioeconomic status, n/total (%)
1 (lowest)51/916 (5.6)46/713 (6.5)30/521 (5.8)
268/916 (7.4)45/713 (6.3)38/521 (13.1)
3287/916 (31.3)219/713 (30.7)163/521 (31.3)
4268/916 (29.3)210/713 (29.5)143/521 (27.5)
5189/916 (20.6)142/713 (19.9)108/521 (20.7)
6 (highest)53/916 (5.8)51/713 (7.2)39/521 (7.5)
Hb, hemoglobin; SD, standard deviation. Stunting, underweight and wasting were defined as height-for-age Z scores < −2 SD, weight-for-age Z scores < −2 SD and weight-for-height Z scores < −2 SD respectively. Household socioeconomic status was derived using principal components analysis as a composite of building materials of the home, number of rooms and items owned. A total asset score was calculated with 1 indicating lowest and 6 indicating highest household socioeconomic status. * All children were tested annually for asymptomatic malaria parasitemia. ** clinical malaria episodes were recorded for symptomatic children during longitudinal follow-up. *** All children were tested annually for helminthic infections during longitudinal follow-up.
Table
Table 2. Distribution of hemoglobin levels and markers of iron status and inflammation.
Table 2. Distribution of hemoglobin levels and markers of iron status and inflammation.
Child Anemia/Iron Status
Anemia
Moderate anemia at age one, n/total (%)436/933 (46.7)
Moderate anemia at age two, n/total (%)127/615 (20.7)
Moderate anemia at age three, n/total (%)26/641 (4.1)
Moderate anemia at age four, n/total (%)13/399 (3.3)
Moderate anemia at age five, n/total (%)31/713 (4.4)
Any moderate anemia event from one to five years of age, n/total (%)342/726 (47.1)
Any mild anemia event from one to five years of age, n/total (%)550/726 (75.8)
Microcytic anemia at 12 months of age, n/total (%)427/933 (45.8)
Anemia associated with malaria at 12 months of age, n/total (%)40/929 (4.3)
Anemia associated with stunting at 12 months of age, n/total (%)67/921 (7.3)
Annual hemoglobin (Hb) levels
Hb at age 1 (g/dL), mean (95% CI) (n = 933)9.9 (9.8, 10.0)
Hb at age 2 (g/dL), mean (95% CI) (n = 615)10.9 (10.8, 11.0)
Hb at age 3 (g/dL), mean (95% CI) (n = 641)11.7 (11.6, 11.8)
Hb at age 4 (g/dL), mean (95% CI) (n = 399)12.1 (11.7, 12.6)
Hb at age 5 (g/dL), mean (95% CI) (n = 713)12.0 (11.9, 12.1)
Iron status
Iron deficiency at 2 years of age, n/total (%)152/490 (31.0)
Iron deficiency anemia at 2 years of age, n/total (%)82/441 (18.6)
Iron and inflammation biomarkers at two years of age
Ferritin (μg/L), mean (95% CI) (n = 495)21.7 (19.8, 23.7)
Transferrin (g/L), mean (95% CI) (n = 517)2.7 (2.7, 2.8)
sTfR (mg/L) mean (95% CI) (n = 518)6.3 (5.9, 6.7)
Hepcidin (μg/L) mean (95% CI) (n = 516)7.8 (7.0, 8.6)
C-reactive protein (mg/L) mean (95% CI) (n = 519)1.3 (1.2, 1.5)
Maternal Hb/ anemia status at enrolment in pregnancy
Hb levels (g/dL), mean (95% CI) (n = 933)11.4 (11.3, 11.4)
Mild anemia, n/total (%)336/933 (36.0)
Moderate anemia, n/total (%)147/933 (15.8)
CI, confidence interval; Hb, hemoglobin; SD, standard deviation; sTfR, soluble transferrin receptor. Iron deficiency was defined as ferritin < 12 μg/L in the absence of inflammation or <30 μg/L in the presence of inflammation (CRP > 5 mg/L); Iron deficiency anemia was defined as the presence of both iron deficiency and anemia. Moderate and mild anemia were defined as Hb < 10 g/dL and <11 g/dL, respectively. Microcytic anemia was defined as Hb < 10 g/dL and mean corpuscular volume < 80 fL, anemia associated with malaria was defined as Hb <10 g/dL and malaria parasitemia, anemia associated with stunting was defined as Hb < 10 g/dL and stunting. All Hb measures were adjusted for change in altitude (1000 m above sea level). Mean values are geometric means except for transferrin and Hb which are arithmetic means. Children with missing developmental scores were excluded.
Table
Table 3. Univariable and multivariable linear regression results for the associations between maternal and child hemoglobin levels and developmental scores at 15 months.
Table 3. Univariable and multivariable linear regression results for the associations between maternal and child hemoglobin levels and developmental scores at 15 months.
Developmental DomainnUnivariable Model β
(95% CI)		p ValuenMultivariable Model * β (95% CI)p Value
Maternal Hemoglobin Levels and Developmental Scores at 15 Months
Executive function (A not B + self-control)686−0.01 (−0.06, 0.04)0.71619−0.002 (−0.06, 0.05)0.93
Psychomotor (fine motor + gross motor)9150.06 (0.02, 0.11)0.018280.05 (0.0002, 0.09)0.05
Social cognition (recognition of self and others + self-care)9330.03 (−0.1, 0.07)0.198430.02 (−0.03, 0.06)0.50
Language 9330.02 (−0.02, 0.06)0.08843−0.01 (−0.05, 0.04)0.81
Child hemoglobin levels at 12 months and developmental scores at 15 months
Executive function (A not B + self-control)6860.01 (−0.04, 0.07)0.606190.03 (−0.03, 0.09)0.28
Psychomotor (fine motor + gross motor)9150.07 (0.03, 0.12)0.0018280.07 (0.02, 0.12)0.003
Social cognition (recognition of self and others + self-care)9330.03 (−0.4, 0.10)0.408430.13 (−0.10, 0.36)0.28
Language 9330.04 (−0.01, 0.08)0.098430.05 (0.002, 0.10)0.04
CI, confidence interval. * Multivariable models were adjusted for age at developmental assessment, sex, stunting, socioeconomic status, maternal education, helminthic infections, and malaria parasitemia. Multivariable models are additionally adjusted for child Hb levels at 12 months or maternal Hb levels during pregnancy. All developmental scores at 15 months were inverse transformed to normalize their distributions.
Table
Table 4. Multivariable linear regression results for associations between maternal and child anemia and developmental scores at 15 months.
Table 4. Multivariable linear regression results for associations between maternal and child anemia and developmental scores at 15 months.
Developmental DomainnUnivariable Model β
(95% CI)		p ValuenMultivariable Model * β (95% CI)p Value
Mild Maternal Anemia during Pregnancy and Developmental Scores at 15 Months (n = 336/933)
Executive function (A not B + self-control)686−0.03 (−0.19, 0.12)0.686190.03 (−0.20, 0.13)0.68
Psychomotor (fine motor + gross motor)915−0.19 (−0.32, −0.05)0.01828−0.14 (−0.27, −0.002)0.05
Social cognition (recognition of self and others +self-care)933−0.04 (−0.17, 0.09)0.558430.02 (−0.12, 0.16)0.77
Language933−0.01 (−0.14, 0.12)0.888430.05 (−0.09, 0.19)0.48
Moderate child anemia at 12 months and developmental scores at 15 months (436/933) a
Executive function (A not B + self-control)686−0.002 (−0.15, 0.15)0.97619−0.03 (−0.20, 0.13)0.70
Psychomotor (fine motor + gross motor)915−0.18 (−0.31, −0.06)0.01828−0.21 (−0.35, −0.08)0.002
Social cognition (recognition of self and others +self-care)933−0.16 (−0.29, −0.03)0.01843−0.59 (−1.24, 0.05)0.07
Language933−0.05 (−0.18, 0.08)0.45846−0.09 (−0.23, 0.05)0.19
b Combined maternal anemia during pregnancy and child anemia at 12 months and developmental scores at 15 months (n = 175/933)
Executive function (A not B + self-control)686−0.08 (−0.27, 0.11)0.41619−0.10 (−0.30, 0.11)0.36
Psychomotor (fine motor + gross motor)915−0.36 (−0.52, −0.19)0.0002828−0.35 (−0.52, −0.19)0.00004
Social cognition (recognition of self and others +self-care)933−0.12 (−0.29, 0.04)0.14843−0.08 (−0.25, 0.10)0.39
Language9330.02 (−0.14, 0.19)0.788430.03 (−0.14, 0.21)0.71
CI, confidence interval. Mild and moderate anemia were defined as hemoglobin levels < 11 g/dL and <10 g/dL respectively, adjusting for high altitude (1000 m above sea level). * Multivariable models were adjusted for age at developmental assessment, sex, stunting, socioeconomic status, maternal education, helminthic infections and malaria parasitemia. Multivariable models were additionally adjusted for child Hb levels at 12 months or maternal Hb levels during pregnancy. All developmental scores at 15 months were inverse transformed to normalize their distributions. a Presented results are for associations with moderate child anemia at 12 months as mild anemia was very common (76.3%) among children at that age. b Combined anemia is mild maternal anemia during pregnancy and moderate child anemia.
Table
Table 5. Univariable and multivariable linear regression results for the association between hemoglobin levels or anemia and developmental scores at five years.
Table 5. Univariable and multivariable linear regression results for the association between hemoglobin levels or anemia and developmental scores at five years.
Developmental DomainnUnivariable Model β (95% CI)p ValuenMultivariable Model * β (95% CI)p Value
Hemoglobin Levels at 5 Years and Developmental Scores at 5 Years
Verbal and non-verbal IQ7130.0002 (−0.06, 0.06)0.99681−0.002 (−0.06, 0.06)0.96
Executive function713−0.04 (−0.10, 0.02)0.15681−0.06 (−0.11, 0.002)0.06
Motor ability713−0.004 (−0.05, 0.05)0.88681−0.001 (−0.05, 0.05)0.99
Any moderate anemia event below five years and developmental scores at five years
Verbal and non-verbal IQ726−0.18 (−0.31, 0.08)0.256930.02 (−0.19, 0.22)0.22
Executive function7260.01 (−0.18, 0.20)0.916930.11 (−0.08, 0.30)0.25
Motor ability 726−0.04 (−0.19, 0.12)0.666930.04 (−0.13, 0.20)0.67
CI, confidence interval. Moderate anemia was defined as Hb < 10 g/dL adjusting for change in altitude (1000 m above sea level). * The multivariable models were adjusted for age at developmental assessment, sex, stunting, socioeconomic status, maternal education, maternal Hb levels during pregnancy, helminthic infections and malaria parasitemia.
Table
Table 6. Multivariable linear regression results for the association between measures of iron status and anemia at two years of age and cognitive and motor scores at five years of age.
Table 6. Multivariable linear regression results for the association between measures of iron status and anemia at two years of age and cognitive and motor scores at five years of age.
Iron ParameternMultivariable Model, β (95% CI) p Value
Verbal/ Non-Verbal IQ
ID4710.09 (−0.16, 0.35)0.45
IDA454−0.02 (−0.37, 0.32)0.90
Ferritin (μg/L)471−0.12 (−0.25, 0.02)0.09
Transferrin (g/L)4950.14 (0.06, 0.33)0.18
sTfR (mg/L)490−0.15 (−0.32, 0.02)0.09
Hepcidin (μg/L)489−0.03 (−0.14, 0.07)0.54
Executive function
ID4710.21 (−0.04, 0.45)0.09
IDA454−0.11(−0.44, 0.22) 0.53
Ferritin (μg/L)471−0.11 (−0.24, 0.02)0.11
Transferrin (g/L)4950.13 (−0.06, 0.32)0.18
sTfR (mg/L)490−0.05 (−0.21, 0.11)0.54
Hepcidin (μg/L)489−0.05 (−0.14, 0.05)0.32
Motor ability
ID4710.12 (−0.09, 0.34)0.25
IDA4540.09 (−0.19, 0.38)0.52
Ferritin (μg/L)471−0.07 (−0.19, 0.04)0.20
Transferrin (g/L)4950.01 (−0.18, 0.15)0.87
sTfR(mg/L)490−0.07 (−0.21, 0.07)0.32
Hepcidin (μg/L)489−0.04 (−0.12, 0.05)0.39
CI, confidence interval; sTfR, soluble transferrin receptor; ID, iron deficiency; IDA, iron deficiency anemia. ID was defined as plasma ferritin < 12 μg/L in the absence of inflammation or <30 μg/L in the presence of inflammation (CRP > 5 mg/L); Iron deficiency anemia was defined as the presence of both iron deficiency and mild anemia (Hb < 11 g/dL). All Hb measures were adjusted for change in altitude (1000 m above sea level). The multivariable models were adjusted for age at iron measurement, sex, stunting, inflammation, helminthic infections, socioeconomic status, maternal education, and malaria parasitemia. Ferritin, sTfR, hepcidin and CRP levels were natural log (ln) transformed to normalize their distribution.
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Nampijja, M.; Mutua, A.M.; Elliott, A.M.; Muriuki, J.M.; Abubakar, A.; Webb, E.L.; Atkinson, S.H. Low Hemoglobin Levels Are Associated with Reduced Psychomotor and Language Abilities in Young Ugandan Children. Nutrients 2022, 14, 1452. https://doi.org/10.3390/nu14071452

AMA Style

Nampijja M, Mutua AM, Elliott AM, Muriuki JM, Abubakar A, Webb EL, Atkinson SH. Low Hemoglobin Levels Are Associated with Reduced Psychomotor and Language Abilities in Young Ugandan Children. Nutrients. 2022; 14(7):1452. https://doi.org/10.3390/nu14071452

Chicago/Turabian Style

Nampijja, Margaret, Agnes M. Mutua, Alison M. Elliott, John Muthii Muriuki, Amina Abubakar, Emily L. Webb, and Sarah H. Atkinson. 2022. "Low Hemoglobin Levels Are Associated with Reduced Psychomotor and Language Abilities in Young Ugandan Children" Nutrients 14, no. 7: 1452. https://doi.org/10.3390/nu14071452

APA Style

Nampijja, M., Mutua, A. M., Elliott, A. M., Muriuki, J. M., Abubakar, A., Webb, E. L., & Atkinson, S. H. (2022). Low Hemoglobin Levels Are Associated with Reduced Psychomotor and Language Abilities in Young Ugandan Children. Nutrients, 14(7), 1452. https://doi.org/10.3390/nu14071452

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