Skip to main content

SYSTEMATIC REVIEW article

Front. Nutr., 14 October 2021
Sec. Nutrition and Sustainable Diets
This article is part of the Research Topic Smart Food for Healthy, Sustainable and Resilient Food Systems View all 16 articles

Millets Can Have a Major Impact on Improving Iron Status, Hemoglobin Level, and in Reducing Iron Deficiency Anemia–A Systematic Review and Meta-Analysis

  • 1Smart Food Initiative, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India
  • 2Development Strategy and Governance Division, International Food Policy Research Institute (IFPRI), Lilongwe, Malawi
  • 3Institute of Food, Nutrition and Health, University of Reading, Reading, United Kingdom
  • 4UNICEF, Lilongwe, Malawi
  • 5Ostrom Center for Advanced Studies on Natural Resources Governance, Asian Institute of Technology, Pathumthani, Thailand
  • 6National Institute of Nutrition (NIN), Hyderabad, India
  • 7Food Science and Nutrition, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India
  • 8National Technical Board of Nutrition, Government of India (GoI), New Delhi, India

The prevalence of iron deficiency anemia is highest among low and middle-income countries. Millets, including sorghum, are a traditional staple in many of these countries and are known to be rich in iron. However, a wide variation in the iron composition of millets has been reported, which needs to be understood in consonance with its bioavailability and roles in reducing anemia. This systematic review and meta-analysis were carried out to analyze the scientific evidence on the bioavailability of iron in different types of millets, processing, and the impact of millet-based food on iron status and anemia. The results indicated that iron levels in the millets used to study iron bioavailability (both in vivo and in vitro) and efficacy varied with the type and variety from 2 mg/100 g to 8 mg/100 g. However, not all the efficacy studies indicated the iron levels in the millets. There were 30 research studies, including 22 human interventions and 8 in vitro studies, included in the meta-analysis which all discussed various outcomes such as hemoglobin level, serum ferritin level, and absorbed iron. The studies included finger millet, pearl millet, teff and sorghum, or a mixture of millets. The results of 19 studies conducted on anaemic individuals showed that there was a significant (p < 0.01) increase in hemoglobin levels by 13.2% following regular consumption (21 days to 4.5 years) of millets either as a meal or drink compared with regular diets where there was only 2.7% increase. Seven studies on adolescents showed increases in hemoglobin levels from 10.8 ± 1.4 (moderate anemia) to 12.2 ± 1.5 g/dl (normal). Two studies conducted on humans demonstrated that consumption of a pearl millet-based meal significantly increased the bioavailable iron (p < 0.01), with the percentage of bioavailability being 7.5 ± 1.6, and provided bioavailable iron of 1 ± 0.4 mg. Four studies conducted on humans showed significant increases in ferritin level (p < 0.05) up to 54.7%. Eight in-vitro studies showed that traditional processing methods such as fermentation and germination can improve bioavailable iron significantly (p < 0.01) by 3.4 and 2.2 times and contributed to 143 and 95% of the physiological requirement of women, respectively. Overall, this study showed that millets can reduce iron deficiency anemia.

Introduction

Iron deficiency anemia is a serious global public health problem. As per the World Health Organization (WHO) report, worldwide, 42% of pregnant women, 30% of non-pregnant women (aged 15–50 years), 47% of preschool children (< 5 years), and 12.7% of young men (> 15 years) are anaemic. Iron deficiency anemia (IDA) adversely affects the growth and cognitive development in children; cognitive, physical, and psychological health in non-pregnant women, and maternal and neonatal outcomes in pregnant women. Its prevalence among women between the ages of 15 and 49 is more than 40% in most Asian and African countries (1). Many factors cause IDA including, gut health, dietary iron deficiency, bioavailability, folic acid deficiency, Vitamin C, Vitamin A, and Vitamin B12 deficiency. In addition, hookworm infestation and malaria also contribute to the increase in the prevalence of IDA among Asian and African countries (2).

Three major approaches are followed to control IDA globally, which are supplementation with iron and folic acid tablets, fortification and natural food-based approaches. Despite the wide implementation of the first two approaches, IDA remains a serious malnutrition problem with an increasing trend globally. The third approach mainly focuses on dietary diversification and enrichment of diets with naturally iron-rich foods without the potential side effects of artificial additives.

In developing countries, milled rice, wheat, and maize replaced the traditional nutritious crops. Refined foods are abundant in starch but lack nutrients, especially micronutrients such as iron (Fe) and zinc (Zn). Given that a major part (>80%) of the diet in developing countries (3) comprises low iron staple food, achieving sufficient intake of iron through the remaining 20% of the diet is impractical. Therefore, it is important to diversify the staple food by including naturally iron-rich food crops such as millets (4). In addition, millets have a 2.3 to 4.0 times more dietary fiber (6.4 ± 0.6 to 11. 5 ± 0.6 g/100g) compared with refined rice and refined wheat (5), which acts as food for beneficial gut microbiome that improves abundance and alters the gut composition in a beneficial way (6, 7). Millets have added advantages as they are recognized as a smart food, i.e., not only good for you since it is nutritious and healthy, but also good for the planet because it is environmentally sustainable and good for farmers since it is resilient and climate-smart (8).

Animal sources of haem iron are well known for their high bioavailability. However, it is not always affordable to the poorest segments of the population. Moreover, a vegetarian population require alternate plant sources of highly absorbable iron to tackle iron deficiency. Although millets are recognized as being naturally rich in iron, their nutrient composition varies with the type, variety, and growing conditions. Commonly used food composition tables while providing an overview of the nutrient composition do not include this detail (5, 9, 10). Presenting a single value for iron level in a type of millet can be misleading as iron levels can vary significantly among varieties. Iron levels can be as much as triple in a commonly available variety over another.

Non-haem iron (plant-based) is not absorbed as readily as haem iron (animal-based) in the presence of phytate and tannin in millets. Most of the cereals such as wheat flour, brown rice, and barley contain phytic acid to levels (5) that are far higher than that of millets. However, the phytate content of millets is often overly emphasized. Nonetheless, it is important to understand the bioavailability of iron from millets and its impact on anemia status. Although few studies have investigated the bioavailability of iron by in vitro and in vivo methods, not all of them are well known or promoted. Moreover, very few studies focus on the overall beneficial effects of millets on anemia, as most studies focus on only one or just a few of the outcomes, such as hemoglobin, absorbed iron, serum ferritin, and serum transferrin levels. Collating this information can provide information on which millets to use and to what extent they can improve iron status and the type of processing that can enhance the bioavailability of dietary iron. It is against this background that this systematic review of published scientific studies on millets was undertaken to investigate the range of iron levels and its bioavailability in order to enable a comparison with major staples such as rice, wheat (both whole grain and refined), and maize. This was followed by a meta-analysis to collate all the science-based evidence available on millets, their effects on iron status, hemoglobin levels in the body, and their related ability to reduce iron deficiency anemia.

Research Questions

Does consumption of millets-based food help improve iron status and hemoglobin levels and reduce iron deficiency anemia? How does this compare with regular non-millet diets?

Methods

Study Period and Protocol

The systematic review and meta-analysis were conducted from October 2017 to April 2021. The PRISMA checklist was used to write the protocol (11). The protocol was registered through an online “research registry” with the Unique Identification number “reviewregistry1114”.

Search, Inclusion, and Exclusion Criteria

Studies written in English and published between 2010 and 2020 were considered. Google Scholar, Scopus, Web of Science, PubMed, and CABI abstract were used to find studies relevant to the research questions. The search was conducted using the search strategy and keywords (Table 1), which were further screened for relevance to the study, completeness of information and quality of research based on the inclusion and exclusion criteria.

TABLE 1
www.frontiersin.org

Table 1. Search keywords used to identify relevant papers.

Inclusion Criteria

The following criteria were included: (1) research studies conducted to test the efficacy of millets in reducing anemia and improving hemoglobin, serum ferritin levels, iron status, and/or bioavailability of iron; (2) studies that had information on any or all of the outcomes including levels of hemoglobin, serum ferritin, absorbed iron, and bioavailability of iron; (3) efficacy studies conducted using high iron and/or biofortified varieties of millets; (4) studies conducted on any age group or gender of any population to test the efficacy of millets in reducing iron deficiency; (5) both in vivo and in vitro studies that assessed the bioavailability of iron, with the two types of studies treated as separate; (6) peer-reviewed journal articles, full MSc or PhD theses submitted to universities, and full research papers from theses if available online.

Exclusion Criteria

Review articles, animal studies, and publications with incomplete data were excluded.

Data Collection

The study used the PRISMA checklist at every step of data collection, extraction, and analysis (Figure 1). Only the relevant papers downloaded that addressed the research questions were used. The references in the relevant publications were also checked by hand search to find more related research articles. If only an abstract was found relevant to this study, then efforts were made to download open access articles or collect the full paper. After collecting the full paper, if any required data were missing, the authors were contacted, and the full information was requested for use in the meta-analysis. The data were extracted from the articles and documented in Excel sheets. Using the data, descriptive statistics, regression analysis, forest plots, and publication bias analysis were performed.

FIGURE 1
www.frontiersin.org

Figure 1. PRISMA flow diagram for systematic review.

Data Items

Each study was labeled with details on the author and the year of publication. The age group and gender of the study participants were recorded, along with the country, study method, sample size, and type and form of millets used. The numerical variables considered for the meta-analysis included mean and standard deviations of levels of hemoglobin, absorbed iron, and serum ferritin. The data were then entered into an Excel sheet as per the guidelines (12, 13).

Summary Measures and Result Synthesis

(1). Pre-and post- intervention or (2). test and control diets impact on each outcome was recorded with mean and standard deviation values and used for meta-analysis. Since it is continuous data, a meta-analysis was performed to measure Standardized Mean Difference (SMD) and heterogeneity (i2). The significance of the results was determined using the fixed-effect model for a single source of information and the random effect model for other studies. Results from both models were captured in each forest plot. In addition, descriptive statistics such as mean, standard deviation, and percentage change in hemoglobin levels were calculated for both intervention and control samples. Regression analysis was conducted to test the effects of processing such as germination, fermentation, and malting of millets on the bioavailability of iron. The term ‘bioavailability' was used to refer to the percentage of iron in the food that is apparently absorbable based on the in vivo and in vitro protocols used in the studies included in the meta-analysis. The term ‘bioavailable iron' was used to represent the amount of apparently absorbed iron per 100 g of food, and has been calculated as:

Bioavailable iron (mg/100 g food) = iron concentration in the food (mg/100 g) × % bioavailability/100.

Bioavailable iron from millets was then compared with the physiological requirement, which is a requirement for absorbed iron (14). The physiological requirement for various age groups to assess whether the bioavailable iron from millets can contribute to the physiological requirement. The physiological requirement of iron was obtained from the recommended dietary allowances book released recently (15) and was calculated based on the assumption that 8% of the iron is absorbed from the Estimated Actual Requirement (EAR) (15).

Study Quality Assessment

Using the eight-item Newcastle-Ottawa Scale (NOS), the quality (16, 17) of each study was assessed by two investigators. Any disagreement was resolved by discussing it with a third reviewer. The researchers also applied the principle stated in the study of (18) to further strengthen quality assessment.

Detailed Data Analysis

A total of 22 human studies were found eligible for the meta-analysis with three outcomes namely hemoglobin level (g/dl), serum ferritin (ng/ml) and total iron absorbed (mg/day). Nineteen of these studies (based on various types and forms of millets) were used to determine the effects of consumption of millets on hemoglobin levels, while two studies were used to determine the effects on iron absorption, and four studies were used to measure the effects on serum ferritin levels (a blood protein that contains iron that is commonly tested to indicate the level of iron stored in the body). The iron content of millets was categorized as high if iron content was above 6 mg/100 g (regardless of biofortification), moderate it was from 3 mg/100 g to 6 mg/100 g, and low if below 3 mg/100 g. They were compared with the corresponding control samples which were mostly rice or wheat-based regular diets as well as low iron millets. The heterogeneity of samples and overall test results were included in the forest plots. Both the random effect and fixed-effect models were tested and used to interpret the results and SMD (1922).

A meta-analysis was conducted using R Studio 4.0.4 (2021) (www.rstudio.com) to obtain a forest plot, heterogeneity, overall test effects in both fixed and random effect models, and funnel plots to determine the publication bias (12, 23).

Subgroup Analysis

Based on the type of millet (finger millet, pearl millet, sorghum, and mixed millets), the duration of the study (‘short' if <4 months while ‘long' if > 4 months) and the age of the participants (children, adolescents, and adults) were used for subgroup analysis to assess the effects of consumption of millets on hemoglobin levels.

Risk of Bias Assessment

A funnel plot was used to assess publication bias. Selection, detection, attrition and reporting biases were assessed according to the guidelines provided in the Cochrane handbook for systematic reviews of interventions (24).

Results

Meta-Analysis of Data From Human Studies

There were 22 research papers involving human subjects identified as eligible for the meta-analysis for three outcomes, namely, hemoglobin levels, serum ferritin levels, and total iron absorbed.

Hemoglobin Level

There were 19 studies (2543) used to conduct the meta-analysis on hemoglobin levels, which showed high heterogeneity (I2 = 87%) and statistical significance (Figure 2). The hemoglobin levels in 1,022 individuals (from 19 studies) produced SMD of 1.05 at a 95% confidence interval (CI) ranging from 0.63 to 1.46 indicating a significant (p < 0.01) overall improvement in hemoglobin levels within the group that had consumed millets for a period ranging from 28 days to 4.5 years. On average, there was a 13.2% increase in hemoglobin levels relative to the baseline in the intervention group who received millet supplementation which is five times higher compared with only a 2.7% increase in hemoglobin levels in the control group who did not receive millet supplementation and were consuming regular rice or wheat-based diet. Seven studies conducted on adolescents showed an increase in hemoglobin levels from 10.8 ± 1.4 (moderate anemia) to 12.2 ± 1.5 g/dl (normal). The studies that qualified for the meta-analysis used finger millet, pearl millet, sorghum, or mixed millets (kodo, little, and foxtail millets). Among the 19 studies, 2 studies used pearl millet which had an iron content averaging 8.6 mg/100 g (44, 45), while the rest of the studies did not indicate the iron content of millets used in meal preparation.

FIGURE 2
www.frontiersin.org

Figure 2. Effect of consuming millets on Hemoglobin level.

Iron Absorption

The meta-analysis using two studies (44, 45) that measured iron absorption showed that bioavailable iron in the study that had used high iron pearl millet (8.2 mg/100 g grain) was significantly (p < 0.01) higher (Figure 3) than in the one that had used low iron millets (< 3 mg/100 g grain) with SMD of 1.25 and 95% CI of 0.77 and 1.74, respectively. The bioavailable iron was 1 ± 0.45 mg/day from a dietary iron intake of 14.1 mg/day compared with 0.42 ± 0.27 mg/day from a dietary iron intake of 6.3 mg/day, which is 7.5 ± 1.6 % bioavailability.

FIGURE 3
www.frontiersin.org

Figure 3. Effect of consuming millet based meal on bioavailable iron content compared to regular meal.

Serum Ferritin Level

Four studies (33, 35, 36, 46) measured serum ferritin, which was significantly increased in groups consuming high iron millet-based meals (Figure 4), compared with low iron millet-based meals or non-millet-based meals (p < 0.01) with moderate heterogeneity among the studies (I2 = 76%) and SMD of 0.59 and 95% CI of 0.13; 1.06.

FIGURE 4
www.frontiersin.org

Figure 4. Effect of consuming millet based meal on serum ferritin level.

There was a 54.7% average increase in serum ferritin levels after the consumption of pearl millet (two studies), sorghum meals (one study), and teff bread (one study). The average iron level in pearl millet-based meal was 8.2 mg/100 g while it was 5.6 mg/100 g in teff bread. The intervention was conducted for 6 weeks using teff bread and 6 months using pearl millet-based meals. The iron levels in sorghum used in the study for 8 months were not indicated.

Meta-Analysis of in-vitro Iron Bioavailability Studies

The meta-analysis included eight studies that measured in vitro iron bioavailability in pearl millet and the effects of processing. One study with two observations (47) showed 2.5 mg/100 g bioavailable iron in a high iron pearl millet-based meal, which was significantly higher (p < 0.01) than in the rice-based control meal (0.75 mg/100 g) with a bioavailability percentage of 7.5% and 7.9%, respectively (Figure 5). Similarly, seven in-vitro bioavailability studies showed (4854), that processing such as germination, fermentation, decortication, expansion (a thermal process that increases the size and volume of the grain) and popping of millet grains had significantly (p < 0.01) increased bioavailable iron than those in unprocessed control millet grain (Figure 6). The increase in bioavailable iron by fermentation and germination was 3.4 times and 2.2 times higher, respectively than in unprocessed millets.

FIGURE 5
www.frontiersin.org

Figure 5. In-vitro bioavailability of iron in millet compared to rice based meal.

FIGURE 6
www.frontiersin.org

Figure 6. In-vitro bioavailability of iron in millets after processing.

Additional Statistics

Statistical comparison was conducted to determine the percentage bioavailability of iron and bioavailable iron in high iron pearl millet in two in vivo studies (44, 45) and 11 in vitro studies on pearl millet, finger millet, and sorghum (4757). The iron content in the millets used in the in vitro studies was 17.27 ± 13.38 mg/100 g. The in-vitro studies also showed a significant increase in bioavailable iron (mg/100 g) with the increasing iron content of millets (Figure 7). It is also noted some studies shows high iron content in the fermented millets even up to 49.7 mg/100 g (54). On the other hand, based on the two human studies conducted using iron-rich pearl millet (8.3 mg/100 g) showed the bioavailability of 7.5 ± 1.6% with bioavailable iron of 1.0 ± 0.4 mg/100 g, while the concentration of iron in the entire pearl millet-based meals was 14.1 ± 9 mg/100 g.

FIGURE 7
www.frontiersin.org

Figure 7. In-vitro bioavailable iron from millets.

Regardless of the iron concentration in millets, the overall percentage bioavailability in millets from human studies was 7.22 ± 1.78%, with an overall bioavailable iron content of 0.7 ± 0.45 mg/100 g (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Iron bioavailability and bioavailable iron in millets based on the type of study (in vitro and in vivo).

In this systematic review, the iron content in millets, regardless of biofortification, were organized into low (<3 mg/100 g), moderate (3 to <6 mg/100 g), and high (6 mg/100 g) categories based on their provisions of >30% (high), 15–30% (moderate), and <15% (low) daily iron requirements for adults. The bioavailability from these categories was assessed. The results showed that meals prepared with high iron millets had high bioavailable iron that can provide 100% of the physiological requirement of iron as proposed by ICMR (2020) (Table 3). Results from in vivo studies showed that bioavailable iron was high in high iron millets (1 ± 0.4 mg/100 g), compared with low iron millets (0.4 ± 0.2 mg/100 g).

TABLE 3
www.frontiersin.org

Table 3. The effect of processing on the bioavailability of iron in millets and its potential to meet the physiological requirement of iron.

Effects of Processing on the Bioavailability of Iron

Processes such as fermentation, germination, and soaking did not affect the total iron content of the grain significantly. Moreover, there was significantly higher bioavailable iron in these processes compared with that in unprocessed millets (Table 3). On the other hand, decortication, popping, and malting reduced the iron content. However, bioavailable iron was still higher than or equal to that in unprocessed grains.

Millets can provide 100% of the physiological requirement of iron for different age groups (45), though this depends on the type, variety, and the kind of processing undergone. Based on the results from in vitro studies, soaking was not significantly associated with an increase in iron bioavailability (Table 3). On the other hand, even if the iron content in millets was low, malting increased bioavailable iron by 3.5 times, and thereby bioavailable iron was 1.6 times higher than in unprocessed grains which increased its contribution to the physiological requirement to 1.7 times in adult women (from 39 to 68%). There were 17 observations on fermented millets which showed that the fermentation process did not affect the iron content of grains. However, it increased bioavailable iron by up to 3.4 times (from 0.5 to 1.7 mg/100 g) and can help increase the contribution to the physiological iron requirement by 3.4 times in adult women (from 39 to 143%) (Table 3). Fermentation was found to be superior to germination and malting. Germination increased bioavailable iron content by up to 2.2 times compared with unprocessed grains (from 0.5 to 1.1 mg/100 g) and helped meet 95% of the physiological requirement in adult women, which is 2.4 times higher than in unprocessed grains. Adding an absorption enhancing agent such as Vitamin C rich food improved the percentage of iron bioavailability by up to 6.8 times (50). Other processes such as decortication and dephytination using phytase enzyme are industrial processes. While both processes decreased iron content in grains by more than 50%, they increased bioavailable iron by 2.6 and 1.4 times, respectively, thereby increasing their contribution to the physiological requirement in adult women by 2.7 and 1.5 times, respectively.

Popping slightly reduced (3%) the iron content of grains. However, it increased bioavailable iron by 3.4 times and thereby increasing its contribution to the physiological requirement by 3.7 times. Compared with popping, expansion led to a loss of more than 60% of grain iron content while increasing bioavailable iron by 5.4 times compared with unprocessed grains and thereby increased the % contribution to the physiological requirement by 5.8 times in adult women.

It may be noted that processing did not have the same impact in all the studies, possibly due to the difference in the methods used, which needs further evaluation. Fermentation increased mean bioavailable iron content in millets more than all other processing methods.

Three studies conducted on the effects of processing on phytate content showed a reduction in phytate content by 29.7% after germination, 28.1% after soaking, 30.7% after decortication, and 51% after expansion (Table 4). This reduction in phytate content increased the bioavailability of iron in these studies. Decortication increased bioavailable iron content by 160% (0.5 mg/100 g to 1.3 mg/100 g).

TABLE 4
www.frontiersin.org

Table 4. The effects of processing on phytate and tannin content in millets (mg/100 g).

Germination of finger millet increased bioavailable iron content from 0.4 to 1.3 mg/100 g and decreased tannin content by 50.4%. In pearl millet, cooking reduced tannin content by 5.2% (Table 4).

Subgroup Analysis by Type of Millet

A subgroup analysis was performed to determine the effects of consumption of millets on hemoglobin levels based on the type of millets used in the study (finger millet, pearl millet, mixed millets, and sorghum), the duration of the study (‘short' or ‘long'), and the age group of the participants (children, adolescents, and adult). It was not possible to conduct a subgroup analysis based on the iron content of the grains since only three of the 19 studies on the effectiveness of millets on hemoglobin outcome indicated the iron content in millets used. A subgroup analysis conducted to study the effects of consuming different types of millets on hemoglobin levels showed no significant (Figure 8) difference due to using any particular type of millets (p = 0.48). Finger millet and pearl millet had similar effects on hemoglobin levels (p < 0.05). The effects of using mixed millets could not be estimated due to the small number of studies.

FIGURE 8
www.frontiersin.org

Figure 8. Effect of consuming different types of millets on Hemoglobin level.

Risk of Bias Assessment

The risk of bias assessment shows major risks coming from blinding of the assessment. As millets have a unique colour, texture, and size it is not possible to conduct the study by blinding the sample. However, it is possible to blind the proportion added and the type of millets included, among other things. The sample size in studies was reasonable, ranging from 10 to 133 samples for assessing the impact of millet consumption on hemoglobin levels. Except for two studies, all the studies had more than 10 samples each. The Trim and Fit method were applied to account for the effects of small sample size on studies until the funnel plot became symmetrical (p < 0.0001).

Discussions

This study used the term ‘high iron millet' to indicate any millet that provides more than 6 mg iron/100 g of grain. Note that the four human interventions investigated were based on biofortified pearl millet. Biofortification is a process that increases the concentration of targeted nutrients in crops through breeding technologies and can be a promising, sustainable, and cost-effective approach to combating micronutrient deficiencies (59). The other human studies and in vitro studies used varieties of millets that were commonly available.

All the in vivo human studies (lasting 28 days to 6 months), except two studies, used 84 to 300 g of pearl millet or finger millet in the form of a meal: bhakri/flatbread, porridge, or upma (thick porridge prepared by seasoning and adding spices, with or without vegetables). The meal was provided once or twice a day. It diversified the cereal-based main meal by incorporating millets and increased the intake of iron from the main meal.

Among the 19 studies in the meta-analysis to assess the impact on hemoglobin levels, only 3 studies indicated the levels of iron in millets used. The iron content in the millet grain has a huge impact on bioavailable iron, which in turn impacts the anemia status. It is noteworthy that the consumption of iron-rich pearl millet with 8.3 mg/100 g of iron levels contributed more than 50% of iron to the entire meal with 14.1 ± 9 mg of iron and improved the iron bioavailability with bioavailable iron of 1 ± 0.4 mg/day, compared with the consumption of a low iron pearl millet (< 3 mg/100 g) meal. Regardless of the percentage of bioavailability of iron, if the millet contains high iron, then the amount of bioavailable iron also increases. In general, the percentage bioavailability of iron from plant-based food varies from 1 to 10% (60) and ICMR. (15) also shows that it considered 8% bioavailability of iron from cereal-based diets. This shows that compared with many plant-based foods, millets have an equal or better bioavailability percentage.

However, the same was not the case in vitro studies, probably because of the variation in the methodology used.

In vitro Methods Used for the Bioavailability Study

Unlike in-vivo, in-vitro studies showed significant variation in the bioavailability percentage, with high iron millets having a lower average bioavailability percentage than moderate and low iron millets. However, the bioavailability percentage was generally high, averaging 17.64 ± 12.49 in the in vitro studies.

Taking bioavailability percentage into account, bioavailable iron varied significantly by variety and can approximately triple the quantity of iron bioavailable, ranging from 0.54 ± 0.21 in low iron varieties to 1.58 ± 1.24 in high iron varieties.

The huge variation in bioavailability percentage may be explained by the heterogeneity of the four methods adopted in the in vitro studies, which were iron solubility, iron dialysability, HCl-extractability, and gastrointestinal models. The in vitro methods aimed at mimicking the gastric and small intestinal phase involving the use of pepsin and pancreatin in iron solubility, dialysability and gastrointestinal methods. However, the studies of (49, 57) used HCl-extractability, which did not involve the use of pepsin and pancreatin and may have led to underestimation or overestimation since it did not consider the digestion of minerals in two key areas of the gastrointestinal tract, which distinguishes this method from the three others. The three other in-vitro methods also differed in the setup and conditions, which may have contributed to the differential outcome. The in vitro study by (50) used two approaches in the iron solubility method in which the usage of either HCl-pepsin or pepsin-pancreatin on mineral extractability, showed differences in the percentage of bioavailability. The differences can be explained by the endpoint measurements. The HCl-pepsin method measured the iron bioavailability at the end of the gastric phase with pH between 1 and 3 and the pepsin-pancreatin method measured the iron bioavailability at the end of the small intestinal phase with pH between 7 and 8. The differences in pH in these two stages may affect the iron solubility and hence the percentage of bioavailability. However, the authors did not outline the methods clearly. Four studies by (47, 53, 55, 56) used the iron dialysability method which was based on equilibrium dialysis. In the absence of in vivo epithelial uptake, this in vitro method adopted dialysis as a physical separation technique whereby a dialysis membrane was used. It is important to note that the selected molecular cut-off of the dialysis membrane, final pH adjustment, time of incubation, and the method used for iron quantification (colourimetric assay or spectrophotometry) are instrumental for consistency in the results (61). In addition, enzymes' sources, pH and digestion time, are also important parameters for standardization and may alter enzyme activities and possibly the results. The studies by (48, 54, 58) used gastrointestinal models and adopted different approaches in terms of simulated digestion fluids which influence the ionic strength and ratio of samples to buffer. The study of (54), adopted a more recent standardized static in vitro digestion model proposed by (62) which is useful to compare results of the inter and intra laboratory. Nevertheless, data validation between in vitro and in vivo studies may provide information when similar meals and experimental conditions are compared (61). Therefore, in vitro methods are useful screening tools to assess iron bioavailability involving a large number of food samples.

Post-harvest iron fortification of pearl millet (artificial fortification) increases the amount of iron available and can be added in large quantities to increase by 32% the total quantity of iron absorbed compared with naturally high iron pearl millet (44). However, a feasible and sustainable approach for long-run implementation would be to release more high iron millet varieties compared with any other method such as fortification and tablet supplementation. The studies showed that, based on the age group, 75 to 100% of the physiological requirement can be achieved through a standard meal prepared using high iron millets. It is noted that fortified foods have processing difficulties such as higher costs of processing and the use of artificial additives for post-harvest fortification. Given that there are many naturally occurring high iron millets, it is important to use them in efficacy studies to generate more science-based evidence and to enable the formulation of policies that would make them available to farmers and also increase the choices for consumers.

Processing had a significant positive impact on the bioavailability of iron (Table 3). Of the household and traditional processing methods, fermentation was found to be superior to all other processes for increasing bioavailable iron. Of the commercial processing methods, expansion was found to be superior compared with all other processing methods for increasing bioavailable iron. Generally, dietary inhibitory factors affect the efficiency of iron absorption (63). The major dietary inhibitory factors for iron absorption in millets are phytates and tannin. It is worth noting that millets have similar or lower levels of these anti-nutrients compared with common staples and legumes (5), which are further reduced by processing to positively improve the bioavailability of iron. Studies also showed significantly increased iron bioavailability in millets following different methods of processing. In addition, ascorbate (Vitamin C) in the presence of tannins decreases the chelating properties of tannins and thus increases the bioavailability of iron by up to 6.8 times (50). While one study showed that germination reduced tannin content by 50%, another study revealed a sixfold increase in the bioavailability of iron after the same process. The study of (64) demonstrated in in vitro studies that processing eliminated inhibitory factors such as phytates and increased the bioaccessibility of iron. However, in vivo studies are required to ascertain if similar effects are achieved using processed millets.

Considering the nutritional quality of all types of millets and their versatile nature of fitting into popular recipes using rice (3), replicating these studies with millets will be useful to identify variation in iron bioavailability and its benefits in reducing IDA.

Limitation

Iron contamination of food from post-harvest treatment, storage, and cooking vessels, which could increase the iron content of the grain, was not reported by any studies included in this systematic review. However, it was noted that there have been many studies that do specifically look at or incorporate the impacts of iron contamination from external sources on a variety of different foods (6567). Especially while reporting high iron levels (>10 mg/100 g), it is important to look at the contamination from an external source (44) to avoid inflated data.

Conclusion

The systematic review and meta-analysis showed millets are an excellent source of iron with low-cost potential for reducing iron deficiency anemia. This underlined the need for policymakers to recognize the right varieties and types of millets rich in iron for use as supplement food to counter the high prevalence of anemia in many countries. Selecting the iron rich millet varieties and developing iron-biofortified millet that can provide additional bioavailable iron could be a promising approach to combatting IDA. Incorporating millets as a staple across Asia and Africa could have the potential to make a significant impact on IDA. This can also be applicable in communities where millets are traditional foods but not consumed regularly and access to alternative foods is limited. It can also be concluded that the bioavailability of iron in millets can be further improved through processes such as soaking, germination, decortication, and fermentation which can serve as an effective strategy to reduce iron deficiency anemia.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author Contributions

SA and JK-P: conceptualization. JK-P: resource. SA, JK-P, RKB, SU, and MV: data collection, screening, extraction, and analysis. SA, JK-P, IDG, NLBS, and SU: drafting original manuscript. TL, AR, TWT, KS, DJP, and RKB: critical reviewing of protocol and manuscript and editing. All authors contributed to the article and approved the submitted version.

Funding

This research was supported financially by the Smart Food endowment fund.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors acknowledge Joycelyn M. Boiteau, Division of Nutritional Sciences, Cornell University, Tata-Cornell Institute for Agriculture and Nutrition, the United States for reviewing the case and her valuable inputs that contributed significantly to the quality of the study. Thanks are also due to Dr Colin I Cercamondi, Dr Julia Finkelstein, Dr Jere Haas (Project Investigator of the pearl millet trial) and Mr Amy Fothergill (doctoral student at Cornell University), who provided the data from their studies to support the meta-analysis of iron absorption and hemoglobin levels. Dr Waswa Judith confirmed the usage of finger millet in her study, which is highly appreciated. The authors acknowledge Ms Sitaraman Smitha, ICRISAT, for editing the manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2021.725529/full#supplementary-material

References

1. WHO. Prevalence Of Anemia Among Children Under 5 Years (2016).

2. Balarajan Y, Ramakrishnan U, Ozaltin E, Sharkar AH, Subramanian SV. Anemia in low-income and middle-income countries. Lancet. (2011) 378:2123–35. doi: 10.1016/S0140-6736(10)62304-5

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Anitha S, Kane-Potaka J, Tsusaka TW, Tripathi D, Upadhyay S, Kavishwar A, et al. Acceptance and impact of millet-based mid-day meal on the nutritional status of adolescent school going children in a peri urban region of Karnataka state in India. Nutrients. (2019) 11:1–16. doi: 10.3390/nu11092077

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vetriventhan M, Azevedo VCR, Upadhyaya HD. Genetic and genomic resources, and breeding for accelerating improvement of small millets: current status and future interventions. Nucl. (2020) 63:217–239. doi: 10.1007/s13237-020-00322-3

CrossRef Full Text | Google Scholar

5. Longvah T, Ananthan R, Bhaskarachary K, Venkaiah K. Indian Food Composition Table. Hyderabad: National Institute of Nutrition (2017). p. 578.

Google Scholar

6. Paganini D, Zimmermann MB. The effects of iron fortification and supplementation on the gut microbiome and diarrhea in infants and children: a review. Am J Clin Nutr. (2017) 106:1688S–93. doi: 10.3945/ajcn.117.156067

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Paganini D, Uyoga MA, Zimmermann MB. Iron fortification of foods for infants and children in low-income countries: effects on the gut microbiome, gut inflammation, and diarrhea. Nutrients. (2016) 8:494. doi: 10.3390/nu8080494

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Poole N, Kane-Potaka J. The Smart Food Triple Bottom Line – Starting With Diversifying Staples Including Summary Of Latest Smart Food Studies At ICRISAT Agriculture for Development Journal, No. 41, Tropical Agriculture Association, UK. Ps 21–23. (2020). Available online at: https://taa.org.uk/wp~content/uploads/2021/01/Ag4Dev41_Winter_2020_WEB.pdf (accessed March 3, 2021).

Google Scholar

9. Rai KN, Patil HT, Yadav OP, Govindaraj M, Khariwal IS, Cherian B. Dhanshakti-A high-iron pearl millet variety. Indian Farming. (2014) 64:32–4.

Google Scholar

10. Vetriventhan M, Upadhyaya HD, Azevedo VCR, Jayapal VA, Anitha S. Variability and trait-specific accessions for grain yield and nutritional traits in germplasm of little millet (Panicum sumatrense Roth. Ex. Roem. & Schult.). Crop Sci. (2021) 61:2658–79. doi: 10.1002/csc2.20527

CrossRef Full Text | Google Scholar

11. Mohar D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analysis: the PRISMA statement. Open Med. (2009) 3:e1000097. doi: 10.1371/journal.pmed.1000097

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Harrer M, Cuijpers P, Furukawa TA, Ebert DD. Doing Meta-Analysis in R: A Hands-on Guide. (2019). Available online at: https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/ (accessed February 28, 2021). doi: 10.1201/9781003107347

CrossRef Full Text | Google Scholar

13. Atkinson LZ, Cipriani A. How to carry out a literature search for a systematic review: a practical guide. Bjpsych Advances. (2018) 24:74–2. doi: 10.1192/bja.2017.3

CrossRef Full Text | Google Scholar

14. Beaton GH. Minimum Physiological Requirements And Recommended Dietary Allowances. Joint FAO/WHO/UNU expert consultation on energy and protein requirements, Rome 1-8. (1981).

Google Scholar

15. ICMR. Recommended Dietary Allowances and Estimated Average Requirements. (2020). Hyderabad, India: National Institute of Nutrition. p. 1–319.

16. Luchini C, Stubbs B, Solmi M, Veronese N. Assessing the quality of studies in meta-analyses: advantages and limitations of the newcastle ottawa scale. World J Meta-Anal. (2017) 5:80–4. doi: 10.13105/wjma.v5.i4.80

CrossRef Full Text | Google Scholar

17. Peterson J, Welch V, Losos M, Tugwell P. The newcastle-ottawa scale (nos) for assessing the quality of non-randomised studies in meta-analyses. Ottawa: Ottawa Hospital Research Institute (2011).

Google Scholar

18. Bell A, Fairbrother M, Jones K. Fixed and random effects models: making an informed choice. Qual Quant. (2019) 53:1051–74. doi: 10.1007/s11135-018-0802-x

CrossRef Full Text | Google Scholar

19. Zlowodzki M, Poolman RW, Kerkhoffs GM, Tornetta P, Bhandari M. How to interpret a meta-analysis and judge its value as a guide for clinical practice? Acta Orthop. (2007) 78:598–609. doi: 10.1080/17453670710014284

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Ahn H, Kang E. Introduction to systematic review and meta-analysis. Korean J Anaesthesiol. (2019) 71:103–12. doi: 10.4097/kjae.2018.71.2.103

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Hak T, Van Rhee HJ, Suurmond R. How To Interpret Results Of Meta-Analysis. (Version 13) Rotterdam: The Netherlands: Erasmus Rotterdam Institute of Management p 1–2. (2016). Available online at: http://www.erim.eur.nl/research~support/meta-essentials/downloads (accessed April 26, 2021).

Google Scholar

22. Isreal H, Richter RP. A guide to understanding meta-analysis. J Orthop SportsPhys Ther. (2011) 41:496–504. doi: 10.2519/jospt.2011.3333

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Balduzzi S, Rücker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial? Evid Based Ment Health. (2019) 22:153–60. doi: 10.1136/ebmental-2019-300117

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane Handbook for Systematic Reviews of Interventions version 6.2 (updated February 2021). Cochrane. (2021). Available online at: www.training.cochrane.org/handbook (accessed April 13, 2021)

Google Scholar

25. Singh RM, Fedacko J, Mojto V, Isaza A, Dewi M, Watanabe S, et al. Effects of millet based functional foods rich diet on coronary risk factors among subjects with diabetes mellitus: a single arm real world observation from hospital registry. MOJ Public Health. (2020) 9:18–25. doi: 10.15406/mojph.2020.09.00318

CrossRef Full Text | Google Scholar

26. Durairaj M, Gurumurthy G, Nachimuthu V, Muniappan K. Balasubramanian, S. Dehulled small millets: the promising nutricereals for improving the nutrition of children. Matern Child Nutr. (2019) 15:e12791. doi: 10.1111/mcn.12791

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Karkada S, Upadhya S, Upadhya S, Bhat G. Beneficial effect of ragi (finger millet) on haematological parameters, body mass index, and scholastic performance among anemic adolescent high- school girls (AHSG). Compr Child Adolesc Nurs. (2018) 1–12. doi: 10.1080/24694193.2018.1440031

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Singh TS, Goyal M. Impact of an intervention based on pearl millet ladoo on Hemoglobin status of adolescent girls. Research gate. (2014) 1–6.

29. Moharana A, Khosla P, Nayak D, Tripathy P. Effect of finger millet [ragi] ladoo consumption on the level of hemoglobin. Eur J mol clin med. (2020) 7:1018–22.

Google Scholar

30. Singh TS, Goyal M, Sheth M. Intervention trials with pearl millet based iron rich ladoo and iron folic acid (IFA) tablets on hemoglobin status of adolescent females in Bikaner city. Ethno Med. (2014) 8:77–82. doi: 10.1080/09735070.2014.11886475

CrossRef Full Text | Google Scholar

31. Waswa J, Imungi JK. Efficacy of millet based product on management of geophagy: a randomized control trial. J Food Nutr Disord. (2014) 3:3–10. doi: 10.4172/2324-9323.1000152

CrossRef Full Text | Google Scholar

32. Mamiro PS, Kolsteren PW, Van camp JH, Robertfroid DA, Tatala S, Opsomer AS. Processed complementary food does not improve growth or hemoglobin status of rural Tanzanian infants from 6-12 months of age in kilosa district, Tanzania. Community Int Nutr. (2004) 1084–90. doi: 10.1093/jn/134.5.1084

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Prasad MPR, senhur B, Kommi K, Madhari R, Rao MV, Patil JV. Impact of sorghum supplementation on growth and micronutrient status of school going children in southern India–A randomized trial. Indian J Pediatr. (2015) 42:51–6.

Google Scholar

34. Anandhi S. Comparative Study TO Assess the Effectiveness of Drumstick Leaves Extract vs Ragi Porridge in Increasing the Level of Hemoglobin Among Women With Iron Deficiency Anemia In Selected Community Area at Kanchipuram District. Student thesis submitted to MGR medical University, Chennai, Tamil Nadu. (2014). p. 93.

Google Scholar

35. Finkelstein JL, Mehta S, Udipi SA, Ghugre PS, Luna SV, Wenger MJ, et al. A randomized trial of iron-biofortified pearl millet in school children in India. J Nutr. (2015) 145:1576–81. doi: 10.3945/jn.114.208009

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Scott SP, Murray-Kolb LE, Wenger MJ, Udipi SA, Ghugre PS, Boy E, et al. Cognitive performance in Indian school going adolescents is positively affected by consumption of iron-biofortified pearl millet: a 6-month randomized controlled efficacy trial. J Nutr. (2018) 1462–71. doi: 10.1093/jn/nxy113

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Arokiamary S, Senthilkumar R, Kanchana S. Impact of pearl millet based complementary food on biochemical and cognitive profiles of school children (5-6 year old). Eur J Nutr Food Saf. (2020) 12:24–34. doi: 10.9734/ejnfs/2020/v12i730245

CrossRef Full Text | Google Scholar

38. Devdas RP, Chandrasekhar U, Bhooma. Nutritional outcomes of a rural diet supplemented with low cost locally available foods – I impact on expectant women. The Ind J Nutr Dietet. (1982) 19:111–6.

Google Scholar

39. Devdas RP, Chandrasekhar U, Bhooma. Nutritional outcomes of a rural diet supplemented with low cost locally available foods – II Impact on nursing mothers. The Ind J Nutr Dietet. (1983) 20:71–8.

Google Scholar

40. Devdas RP, Chandrasekhar U, Bhooma. Nutritional outcomes of a rural diet supplemented with low cost locally available foods – IV impact on children studied from birth to pre – school age. The Ind J Nutr Dietet. (1984) 21:115–23.

Google Scholar

41. Devdas RP, Chandrasekhar U, Bhooma. Nutritional outcomes of a rural diet supplemented with low cost locally available foods – V impact on pre-schoolers followed over a period of four and a half years. The Ind J Nutr Dietet. (1984) 21:153–64.

Google Scholar

42. Devdas RP, Chandrasekhar U, Bhooma. Nutritional outcomes of a rural diet supplemented with low cost locally available foods – VI impact on school children. The Ind J Nutr Dietet. (1984) 21:187–93.

Google Scholar

43. Devdas RP, Chandrasekhar U, Bhooma. Nutritional outcomes of a rural diet supplemented with low cost locally available foods – VIII impact on preschool children from a tribal community. The Ind J Nutr Dietet. (1984) 21:315–21.

Google Scholar

44. Cercamondi CI, Egli IM, Mitchikpe E, Tossou F, Zeder C, Hounhouigan JD, et al. Total iron absorption by young women from iron-biofortified pearl millet composite meals is double that from regular millet meals but less than that from post-harvest iron-fortified millet meals. J Nutr. (2013) 143:1376–82. doi: 10.3945/jn.113.176826

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Kodkany BS, Bellad RM, Mahantshetti NS, Westcott JE, Krebs NF, Kemp JF. Biofortification of pearl millet with iron and zinc in a randomized controlled trial increases absorption of these minerals above physiologic requirements in young children. J Nutr. (2013) 143:1489–93. doi: 10.3945/jn.113.176677

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Alaunyte L, Stojceska V, Plunkett A, Derbyshire E. Dietary iron intervention using a staple food product for improvement of iron status in female runners. J Int Soc Sports Nutr. (2014) 11:1–8. doi: 10.1186/s12970-014-0050-y

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Agte VV, Gokhale MK, Panikar KM, Chiplonkar SA. Assessment of pearl millet vs rice based diets for bioavailability of four trace metals. Plant Foods Hum Nutr. (1995) 48:149–58. doi: 10.1007/BF01088311

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Afify AE-MMR, El-Beltagi HS, El-Salam SMAbd, Omran AA. Bioavailability of iron, zinc, phytate and phytase activity during soaking and germination of white sorghum varieties. PLoS ONE. (2011). 6:e25512. doi: 10.1371/journal.pone.0025512

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Sripriya G, Antony U, Chandra TS. Changes in carbohydrate, free amino acids, organic acids, phytate and HCl extractability of minerals during germination and fermentation of finger millet (Eleusine coracana). Food Chem. (1997) 58:345–50. doi: 10.1016/S0308-8146(96)00206-3

CrossRef Full Text | Google Scholar

50. Mamiro PRS, Van Camp J, Mwikya SM, Huyghebaert A. In vitro extractability of calcium, iron, and zinc in finger millet and kidney beans during processing. Food Chem Toxicol. (2001) 66:1271–5.

Google Scholar

51. Nour AAM, Sokrab AM, Ahmd IAM, Babiker EE. Supplementation and cooking of pearl millet: change in anti-nutrients, and total minerals content and extractability. Innov Rom Food Biotechnol. (2014) 15:9–22.

Google Scholar

52. Platel K, Epieson SW, Srinivasan K. Bioaccessible mineral content of malted finger millet (Eleusine coracana), wheat (Triticum aestivum), and Barley (Hordeum vulgare). J Agric Food Chem. (2010) 58:8100–3. doi: 10.1021/jf100846e

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Krishnan R, Dharmaraj U, Malleshi NG. Influence of decortication, popping and malting on bioaccessibility of calcium, iron, and zinc in finger millet. Food scitechnol. (2012) 48:169–74. doi: 10.1016/j.lwt.2012.03.003

CrossRef Full Text | Google Scholar

54. Gabaza M, Abraha HS, Muchuweti M, Vandamme P, Raes K. Iron and zinc bioaccessibility of fermented maize, sorghum and millets from five locations in Zimbabwe. Food Res Int. (2018) 103:361–70. doi: 10.1016/j.foodres.2017.10.047

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Priya S, Kowsalya S. In-vitro-bioaccessibility of iron and zinc from millet based convenience foods. Int J Adv Eng Res Dev. (2017) 4:158–62. doi: 10.1111/j.1365-2621.2001.tb15200.x

CrossRef Full Text

56. Hemalatha S, Platel K, Srinivasan K. Influence of germination and fermentation on bio accessibility of zinc and iron from food grains. Eur J Clin Nutr. (2007) 61:342–8. doi: 10.1038/sj.ejcn.1602524

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Suma PF, Urooj A. Influence of germination on bioaccessible iron and calcium in pearl millet (Pennisetum typhoideum). J Food Sci Technol. (2014) 51:976–81. doi: 10.1007/s13197-011-0585-8

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Lestienne I, Besanc P, Caporiccio B, Lullien-peallerin V, Treache S. Iron and Zinc in Vitro Availability in Pearl Millet Flours (Pennisetum glaucum) with Varying Phytate, Tannin, and Fiber Contents. J Agri Food Chem. (2005) 53:3240–7. doi: 10.1021/jf0480593

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Bouis HE, Hotz C, McClafferty B, Meenakshi JV, Pfeiffer WH. Biofortification: a new tool to reduce micronutrient malnutrition. Food Nutr Bull. (2011) 32:S31–41. doi: 10.1177/15648265110321S105

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Givens DI, Sulaiman NLB, Anitha S. Iron deficiency anemia in India, prevalence, aetiology and solutions: a narrative review. (Unpublished)

61. Aragon IJ, Ortiz D, Pachon H. Comparison between in vitro and in vivo methods to screen iron bioavailability. CyTA J Food. (2012) 10:103–11. doi: 10.1080/19476337.2011.596283

CrossRef Full Text | Google Scholar

62. Minekus M, Alminger M, Alvito P, Balance S, Bohn T, Bourlieu C, et al. Standardized static in vitro digestion method suitable for food – an international consensus. Food Funct. (2014) 5:1113–24. doi: 10.1039/C3FO60702J

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Chiplonkar SA, Agte VV. Statistical model for predicting non-heme iron bioavailability from vegetarian meals. Int J Food Sci Nutr. (2006) 57:434–50. doi: 10.1080/09637480600836833

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Abdalla AA, Ahmed IA, Tinay AHEl. Influence of traditional processing on minerals HCl-extractability of pearl millet (Pennisetum glaucum). Res J Agric Biol Sci. (2010) 6: 530–4.

Google Scholar

65. Adish AA, Esrey SA, Gyorkos TW, Jean-Baptiste J, Rojhani A. Effect of 610 consumption of food cooked in iron pots on iron status and growth of young children: a randomised trial. The Lancet. (1999) 353:712–6. doi: 10.1016/S0140-6736(98)04450-X

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Geerlings PPD, Brabin BJ, Hart DJ, Fairweather-Tait SJ. Iron contents of malawian foods when prepared in iron cooking pots. Int J Vitam Nutr Res. (2004) 74:21–6. doi: 10.1024/0300-9831.74.1.21

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Harvey PWJ, Dexter PB, Darnton-hill I. The impact of consuming iron from non-food sources on iron status in developing countries. Public Health Nutr. (2000) 3:375–383. doi: 10.1017/S1368980000000434

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: iron status, hemoglobin level, millets, sorghum, meta-analysis

Citation: Anitha S, Kane-Potaka J, Botha R, Givens DI, Sulaiman NLB, Upadhyay S, Vetriventhan M, Tsusaka TW, Parasannanavar DJ, Longvah T, Rajendran A, Subramaniam K and Bhandari RK (2021) Millets Can Have a Major Impact on Improving Iron Status, Hemoglobin Level, and in Reducing Iron Deficiency Anemia–A Systematic Review and Meta-Analysis. Front. Nutr. 8:725529. doi: 10.3389/fnut.2021.725529

Received: 15 June 2021; Accepted: 03 September 2021;
Published: 14 October 2021.

Edited by:

RAKESH BHARDWAJ, National Bureau of Plant Genetic Resources (ICAR), India

Reviewed by:

Christèle Icard-Vernière, Institut de Recherche Pour le Développement (IRD), France
Arivalagan Manivannan, Indian Institute of Horticultural Research (ICAR), India

Copyright © 2021 Anitha, Kane-Potaka, Botha, Givens, Sulaiman, Upadhyay, Vetriventhan, Tsusaka, Parasannanavar, Longvah, Rajendran, Subramaniam and Bhandari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Seetha Anitha, s.anitha@cgiar.org; dr.anithaseetha@gmail.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.