Effects of micronutrient fortified milk and cereal food for infants and children: a systematic review
© Eichler et al.; licensee BioMed Central Ltd. 2012
Received: 9 February 2012
Accepted: 6 July 2012
Published: 6 July 2012
Micronutrient deficiency is a common public health problem in developing countries, especially for infants and children in the first two years of life. As this is an important time window for child development, micronutrient fortified complementary feeding after 6 months of age, for example with milk or cereals products, in combination with continued breastfeeding, is recommended. The overall effect of this approach is unclear.
We performed a Systematic Review and Meta-analysis to assess the impact of micronutrient fortified milk and cereal food on the health of infants and little children (aged 6 months to 5 years) compared to non-fortified food. We reviewed randomized controlled trials using electronic databases (MEDLINE and Cochrane library searches through FEB 2011), reference list screening and hand searches. Three reviewers assessed 1153 studies for eligibility and extracted data. One reviewer assessed risk of bias using predefined forms.
We included 18 trials in our analysis (n = 5’468 children; range of mean hemoglobin values: 9.0 to 12.6 g/dl). Iron plus multi micronutrient fortification is more effective than single iron fortification for hematologic outcomes. Compared to non-fortified food, iron multi micronutrient fortification increases hemoglobin levels by 0.87 g/dl (95%-CI: 0.57 to 1.16; 8 studies) and reduces risk of anemia by 57% (relative risk 0.43; 95%-CI 0.26 to 0.71; absolute risk reduction 22%; number needed to treat 5 [95%-CI: 4 to 6]; 6 Studies). Compared to non-fortified food, fortification increases serum levels of vitamin A but not of zinc. Information about functional health outcomes (e.g. weight gain) and morbidity was scarce and evidence is inconclusive. Risk of bias is unclear due to underreporting, but high quality studies lead to similar results in a sensitivity analysis.
Multi micronutrient fortified milk and cereal products can be an effective option to reduce anemia of children up to three years of age in developing countries. On the basis of our data the evidence for functional health outcomes is still inconclusive.
KeywordsMicronutrients Fortification Milk Cereals
Micronutrient (MN) deficiency is a common public health problem, specifically for infants and children, in many low and middle income countries. For example, anemia (caused by iron deficiency) or increased infection rates and mortality (exacerbated by vitamin A and zinc deficiency) are serious threats for child development . The first two years of life represent a narrow time window, which is of outstanding importance for child development . During this time period future growth and vulnerable physiological capacities, such as cognitive function and motor development, are determined. Even with optimum breastfeeding, these steps depend on a an adequate quantity and quality of complementary feeding, leading to an adequate MN supply . Negative health consequences resulting from suboptimal feeding, such as stunting (i.e. low height-for-age), are associated with higher morbidity and decreased function in later life .
Several strategies have been shown to be effective in resolving MN deficiencies for different target groups and are proposed in recommendations and guidelines [4–6]: Food based approaches (e.g. spreads to increase energy-density and MN content of food; MN powders for home fortification with sprinkles) and MN supplementation (e.g. vitamin A capsules administered at defined intervals). In addition, fortification of staple food (e.g. fortified salt, flour or oil) is widely used to resolve MN deficiencies of general populations.
Fortified complementary feeding after 6 months of age, in combination with continued breastfeeding , typically comprises milk or cereals products (e.g. porridge or gruel) for infants. This type of food, however, is often not covered by programs that provide fortified staple food for the general population. Primary studies have assessed the effects of fortified milk or cereals for infants and children [8, 9] and some countries, such as Mexico, have introduced country wide food programs, where fortified milk is one component . However, the overall evidence of the effect of fortified milk and cereals on children has not been systematically assessed.
Thus, we performed a Systematic Review to specifically assess the impact of micronutrient fortified milk and cereal food on the health of infants and children compared to non-fortified food in randomized controlled trials.
We performed our review in accordance with current guidelines for performing [11, 12] and reporting of systematic reviews  and established a scientific advisory board (see Acknowledgments for participating experts). A review study protocol was developed in advance, though not published.
According to our research question we defined the following inclusion criteria: Population: Infants and children from 6 months to 5 years of age. While our primary focus was on age groups up to 2 years, we decided to set an upper age limit at 5 years, in order not to miss suitable studies with mixed age groups. Intervention: Micronutrient fortified milk or cereal food. Control intervention: Non-fortified food; additional other nutritional approaches, if such approaches were applied in the intervention and control group. Outcome: At least one of the following health related outcomes: surrogate measures (such as MN serum levels, hematological parameters), functional outcome (e.g. motor development), measures of morbidity (such as disease rates) or mortality. Study designs: Randomized controlled trials of any follow-up time.
We excluded studies with infants and toddlers younger than 6 months  or applying infant formula , studies addressing adolescents or adult women, interventions based on supplementation, home fortification, bare food based approaches, fortification with components other than micronutrients, and studies testing absorption of MN. A priori, we also excluded studies with fortification of staple food as provided for larger population groups to isolate the effect of fortified milk and cereals.
Medline electronic search strategy
Search Medline 1
Search Medline 2
Search Medline 3
"Infant Formula"[MeSH]a OR "Milk"[MeSH]
child* OR infant* OR toddl*[TIAB]
1 AND 2
"cost*"[TIAB] OR "economics"[MeSH]
1 AND 2 AND3
1 AND 2 AND 3
"india*"[TIAB] OR "pakistan*"[TIAB] OR "philippine*"[TIAB] OR "asia*"[TIAB] OR "africa*"[TIAB]
4 AND 5
4 AND 5
3 OR 6
child*[TIAB] OR infant*[TIAB] OR toddler*[TIAB]
5 AND 6 AND 7
7 AND 8
4 OR 8
Study selection and data extraction
Three reviewers screened titles and abstracts for relevance and assessed potentially relevant studies for inclusion by full text. Teaching sessions were held in advance to improve conceptual consistency between reviewers. Disagreements were resolved by consensus meetings. If data of a specific population were published in several papers or if follow-up data were presented, we included each population only once. Using a predefined form, data were extracted by one reviewer in an Excel database and checked independently by a second reviewer.
We extracted data on general study information (e.g. study region; length and completeness of follow up), study setting (e.g. level of population recruitment), population details, intervention (e.g. daily amount of fortified MN, determined as daily difference between intervention and control group; composition of MN; comparator food) and outcome (e.g. morbidity rates; hemoglobin levels [g/dl; conversion to g/L with factor 10]).
One reviewer assessed risk of bias in individual studies with a component approach exploring methodological quality on the study level (adequate generation of random sequence, concealment of allocation, blinding) as well as on the outcome level (incomplete outcome data due to attrition; selective outcome reporting) .
First, we calculated pooled estimates. For continuous variables we computed weighted mean differences (WMD) and 95%-confidence intervals (CI). For example, for analysis of hemoglobin change we used the mean change in the intervention and in the control group and their pooled standard deviation (SD). If the sample size decreased during the study, we used the lower sample size at the end of the study. If mean hemoglobin change per group and SD were not reported, we calculated change as the difference of baseline and final values for intervention and control group and applied the SD of final values . If 95%-CI of mean values were reported we converted them to SD assuming normal distribution . To check results for robustness, we also calculated WMD for final hemoglobin values of both study groups, as this data was reported more often. Due to considerable heterogeneity between trials, we applied a random effects model . When authors reported only medians for continuous data (e.g. for ferritin levels), we did not include those data in the meta-analysis. For binary data, we calculated risk ratios and 95%-CI. Heterogeneity between trials was calculated with I2, that is the percentage of the total variation in estimated effects that is due to heterogeneity rather than chance (where values of 25% are assigned low, 50% moderate and 75% high) .
Second, we divided our dataset into pre-specified subgroups to explore the influence of possible modifying factors on the outcome (fortified milk vs. cereal food; high vs. low/middle-income countries; single- vs. dual/multi-micronutrient fortification strategy).
Third, we performed a meta-regression analysis weighted for the inverse of the variance of the outcome . With this approach we evaluated the unique contribution of other a priori chosen independent factors on the most often reported outcome (dependent variable: hemoglobin level; independent variables: hemoglobin levels before intervention; daily amount of fortified MN; length of follow-up; completeness of follow-up).
For parametric and non-parametric tests P-values <0.05 were considered significant. Analyses were performed using the STATA SE 9 software package (StataCorp. 2007. Stata Statistical Software, College Station, Texas, USA).
Description of included studies
Details of included studies for fortification of milk and cereal food
Author, year: Brown, 2007  Design: RCT
Country: Peru Target population: periurban area; Age (mean; range): 0.6; 0.5 to 0.7 years Males (%): 46 Exclusion criteria: risk of acute malnutrition; chronic diseases
Cereals, fortified (porridge); single MN strategy MN applied a: Zn Iron dosage b: n.a.c mg/day; Iron compound d: n.a.
porridge, unfortified for zink
After 0.5 year: plasma zinc; anthropometry; infections
Both groups recieved iron fortification and vitamin supplements, thus net intervention was zinc fortification.
Author, year: Daly, 1996  Design: RCT
Country: UK (74% white; 24% Afro-Caribbean; 2% Asian) Target population: poor innerurban Age (mean; range): 0.65; 0.5 to 0.7 years Males (%): 47 Exclusion criteria: preterm at birth
Milk, fortified; multi MN strategy MN applied: Fe, VitA, other Vitamins, other MN Iron dosage: 5.47 mg/day; Iron compound: no info
After 1 year: hematological parameters; anthropometry
Functional outcome was extracted from related paper Williams_1999 .
Author, year: Faber, 2005  Design: RCT
Country: South Africa Target population: rural area, low socio-economic status, Age (mean; range): 0.7; 0.6 to 0.9 years Males (%): 51 Exclusion criteria: birth weight <2500 g, severe anemia
Cereals, fortified (porridge); multi MN strategy MN applied: Fe, Zn, other Vitamins Iron dosage: 27.5 mg/day; Iron compound: FeFu
After 0.5 year: hematological parameters, serum retinol, zinc; growth; motor development
Population baseline characteristics only for infants who completed the study.
Author, year: Gibson, 2011  Design: RCT
Country: Zambia Target population: middle income class Age (mean; range): 0.5; 0.5 to 0.5 years Males (%): 48 Exclusion criteria: "not in good health"
Cereals, fortified (porridge); multi MN strategy MN applied: Fe, Zn, other Vitamins, other MN Iron dosage: 5.36 mg/day; Iron compound: no info
After 1 year: hematological parameters; serum zink, anthropometry; hospital referral; death; diarrhea; pneumonia; mental and motor development
Author, year: Gill, 1997  Design: RCT
Country: Ireland Target population: no info Age (mean; range): 0.5; 0.5 to 0.5 years Males (%): 51 Exclusion criteria: severe or chronic disaese, malnutrition; congenital anomalies
Milk, fortified; single MN strategy MN applied: Fe Iron dosage: 6.54 mg/day; Iron compound: FeSu
formula milk, unfortified for iron
After 0.75 year: hematological parameters, anthropometry
Author, year: Lartey, 1999  Design: RCT
Country: Ghana Target population: urban area Age (mean; range): 0.5; 0.5 to 0.5 years Males (%): 48 Exclusion criteria: congenital abnormalities
Cereals, fortified (porridge); multi MN strategy MN applied: Fe, Zn, VitA, other Vitamins, other MN Iron dosage: 14.25 mg/day; Iron compound: electrFe
After 0.5 year: hematological parameters; anthropometry; diarrhea; fever; respiratory illness
Intervention cereal with 2 formulations of fortification depending on daily cereal intake of infant to avoid potential toxicity problems.
Author, year: Liu, 1993  Design: RCT
Country: China Target population: all population classes (90% of all children) Age (mean; range): 0.8; 0.5 to 1.1 years Males (%): 55 Exclusion criteria: no info
Cereals, fortified (rusk); multi MN strategy MN applied: Fe, Zn, VitA, other Vitamins, other MN Iron dosage: 5 mg/day; Iron compound: FeAmCi
After 0.25 year: hematological paramters; MN-serum levels, anthropometry
Author, year: Maldonado Lonzano, 2007  Design: RCT
Country: Spain Target population: no info Age (mean; range): 1.9; (range: no info) years Males (%): 58 Exclusion criteria: iron supplementation
Milk, fortified; multi MN strategy MN applied: Fe, other Vitamins, other MN Iron dosage: 5.9 mg/day; Iron compound: no info
milk, unfortified (cows whole milk formula)
After 0.33 year: hematological parameters
No child with anemia at baseline.
Author, year: Morley, 1999  Design: RCT
Country: UK (Indian ethnicity) Target population: mother with higher eduction, non-manual social class Age (mean; range): 0.78; (range: no info) years Males (%): 50 Exclusion criteria: relevant disease; iron supplementation
Milk, fortified; single MN strategy MN applied: Fe Iron dosage: 1.8 mg/day; Iron compound: FeSu
After 0.75 year: hematological parameters, antropometry, motor and mental development
Only data from Norwich cohort blood samples could be taken at baseline and were extracted for Hb outcome.
Author, year: Nesamvuni, 2005  Design: RCT
Country: South Africa Target population: poor socio-economic status, undernourished children Age (mean; range): no info; 1 to 3 years Males (%): 0 Exclusion criteria: physical or mental disability, severe undernutrition
Cereals, fortified (maize porridge); dual MN strategy MN applied: VitA, other Vitamins Iron dosage: n.a.mg/day; Iron compound: n.a.
maize meal, unfortified
After 1 year: hematological parameters, retinol level, anthropometry
Children and family members received the food.
Author, year: Oelofse, 2003  Design: RCT
Country: South Africa Target population: urban disadvantaged black community (low socioeconomic status) Age (mean; range): 0.5; (range: no info) years Males (%): 0 Exclusion criteria: birth weight < 2.5 kg; congenital abnormalities
Cereals, fortified (porridge); dual MN strategy MN applied: Zn, other Vitamins Iron dosage: -0.8 mg/day; Iron compound: FePP
After 0.5 year: hematological parameters, zinc level, retinol level, anthropometry, psychomotor development
90% of control group already recieved commercially prepared complementatry food. The food concentration of iron did not relevanlty differ between groups, but of Zinc and of VitA.
Author, year: Rivera, 2010  Design: RCT (accounted for cluster randomisation)
Country: Mexico Target population: households living in poverty Age (mean; range): no info; 1 to 2.5 years Males (%): 50 Exclusion criteria: no info
Milk, fortified; multi MN strategy MN applied: Fe, Zn, other Vitamins, other MN Iron dosage: 7.82 mg/day; Iron compound: FeGlu
After 1 year: hematological parameters
Study results are adjusted for cluster effect. Evaluation of a large scale program (Leche Lincosa) in Mexico.
Author, year: Sazawal, 2010  Design: RCT
Country: India Target population: periurban area; illiteracy of parents Age (mean; range): 1.9; 1 to 3 years Males (%): 50 Exclusion criteria: severe malnutrition; severe illness
Milk, fortified; multi MN strategy MN applied: Fe, Zn, VitA, other Vitamins, other MN Iron dosage: 8.3 mg/day; Iron compound: FeSu
After 1 year: hematological parameters, anthropometry, severe illnesses, diarrhoea, lower respiratory tract infections, pneumonia
Some data extracted from relating paper: Sazawal_2006  Completeness relates to hematologic parameters.
Author, year: Schümann, 2005  Design: RCT
Country: Guatemala Target population: low income; periurban settlement Age (mean; range): 1.7; 1 to 2 years Males (%): 52 Exclusion criteria: gastric or intestinal diseases; infections
Cereals, fortified (bean paste); single MN strategy MN applied: Fe Iron dosage: 17.1 mg/day; Iron compound: FeSu
After 0.19 year: hematological parameters
All children recieved anthelmintic treatment; all families were compensated. Three arm trial: Only data for FeSu group (n = 31) vs. control group (n = 30) extracted.
Author, year: Stevens, 1998  Design: RCT
Country: UK (mostly caucasian) Target population: lower social classes were overrepresented Age (mean; range): 0.5; 0 to 0 years Males (%): 0 Exclusion criteria: illness, major congenital malformation
Milk, fortified; single MN strategy MN applied: Fe Iron dosage: 6.87 mg/day; Iron compound: FeSu
After 1 year: hematological parameters
Author, year: Villalpando, 2006  Design: RCT
Country: Mexico Target population: poor periurban community Age (mean; range): 1.8; 0.8 to 2.5 years Males (%): 50 Exclusion criteria: no info
Milk, fortified; multi MN strategy MN applied: Fe, Zn, other Vitamins Iron dosage: 6.74 mg/day; Iron compound: FeGlu
After 0.5 year: hematological parameters
The results of the study lead to broadening of a fortified milk distribution program in Mexico.
Author, year: Virtanen, 2001  Design: RCT
Country: Sweden Target population: urban area Age (mean; range): 1; 1 to 1 years Males (%): 39 Exclusion criteria: milk intolerance; poor health
Milk, fortified; single MN strategy MN applied: Fe Iron dosage: 4.53 mg/day; Iron compound: FeGlu, FeLac
After 0.5 year: hematological parameters
Author, year: Walter, 1998  Design: RCT
Country: Chile Target population: From four contiguos urban communities Age (mean; range): 0.5; 0 to 0 years Males (%): 52 Exclusion criteria: major birth or neonatal complications, chronic illness
Milk, fortified; single MN strategy MN applied: Fe Iron dosage: 6.5 mg/day; Iron compound: FeSu
formula, low iron fortifed
After 1 year: hematological parameters, anthropometry
These 18 trials comprised 5468 infants and children from different regions (2 studies from Asia [8, 37], 5 studies from Africa [9, 33–36]; 5 Studies from South- and Middle-America [10, 27, 29, 30, 38]; 6 Studies from Europe [24–26, 28, 31, 32]).
Study population sizes varied from n = 33 to n = 1120 participants (median 166; IQR 92 to 361). Most participants belonged to vulnerable groups and had been recruited from different settings (8 studies: medical or community care centers:, 7 studies: low income risk groups; 2 studies: general population of peri-urban and rural areas; 1 study: no information given). The most frequent exclusion criteria were chronic diseases, severe anemia, severe mal-/under-nutrition, and low birth weight. Mean age of participants ranged from 6 to 23 months at inclusion (upper age limit was 3 years in one study ) and the sex ratio was well balanced. Mean hemoglobin values of children at baseline varied between studies from 9.0 g/dl to 12.6 g/dl (median of study values: 11.1 g/dl). Follow up periods were generally short and did not exceed one year (mean follow up: 8.2 months; range: 2.3 to 12).
Fortified milk was prepared with centrally processed fortified milk powder in most of the studies. Fortified cereals comprised centrally processed weaning or complementary food, such as fortified porridge, gruel or weaning rusk to prepare a pap. Iron was the most frequently used MN for fortification (15 of 18 trials), followed by zinc (9 trials) and vitamin A (6 trials). Seven studies used a single-MN fortification strategy (6 studies with iron only; 1 study with zinc only), two studies a dual- and 9 studies a multi-micronutrient (MMN) strategy (i.e. 3 or more MN, for example additional fortification with vitamin C and E, selenium, copper).
Effect on hemoglobin levels
Effect on anemia prevalence
Effect on ferritin levels
Ferritin is the most direct measure to conclude if iron stores increase by iron-fortified food consumption. Eleven trials provided data for ferritin serum levels. Ferritin levels were not adjusted for subclinical infections. Given the skewed distribution of ferritin values, authors often reported median estimates. Medians were significantly higher in the intervention groups (ranges of ferritin medians at end of study [micro-g/l]: intervention: 15.8 to 44.6; control: 6.5 to 28; P < 0.01). Only three studies provided mean values to be included in a meta-analysis, which showed an effect in the same direction. The mean ferritin increase with iron fortification was 11.3 micro-g/l (95%-CI: 3.3 to 19.2; I2 = 79%) compared to control groups.
Effects on serum zinc and vitamin A levels
Five studies provided data for change in serum zinc levels. MN fortification with zinc led to no relevant change in zinc serum levels (0.4 micro-g/dl (95%-CI: -1.7 to 2.6; I2 = 0%) compared to control groups. However, fortification increased vitamin A serum levels compared to control groups (four studies with data: Retinol increase by 3.7 micro-g/dl [95%-CI: 1.3 to 6.1; I2 = 37%]).
Effects on growth, functional measures and morbidity
For three European studies, no relevant effect of fortification on height and weight was seen and morbidities were not an issue in this population.
All other results relate to non-European low-/middle income countries. Due to the short follow-up period in most of the studies, no meaningful conclusion can be drawn for possible effects of fortification on height or weight gain or z-scores (weight-for-age; height-for-age; weight-for-height). Of 9 studies with data, 7 trials reported no relevant differences between intervention and control group at the end of the study. In one study , more weight gain was seen in the intervention group after one year (4.6 kg vs. 2.0 kg; P < 0.05), in another study  children consuming fortified milk showed improvement in weight gain compared to control group (difference 0.21 kg/year [95%-CI 0.12 to 0.31) and height gain (difference 0.51 cm/year [95%-CI 0.27 to 0.75).
Of three studies with data for psychomotor development of children, two trials reported no relevant difference between groups [9, 35] and one study  found slight improvements compared to the control group.
Of four studies with morbidity data of children, three trials reported no relevant differences between groups for infections , for diarrhea, fever and respiratory illness  and for referral to hospital or death in partly HIV exposed children . In one study  fortified milk significantly reduced the probability of days with severe illness (by 15%), and the relative risk of diarrhea (by 18%) and lower respiratory illness (by 26%).
In our pre-specified subgroup analyses no relevant influence on the outcome was detected for the mode of fortified food (fortified milk vs. cereals). Hemoglobin change was somewhat higher in studies from low/middle income countries (0.78 g/dl (95%-CI: 0.41 to 1.15) compared to high income countries (0.42 g/dl (95%-CI: 0.10 to 0.73), but the difference was not statistically significant. The dual-/multi-micronutrient approach led to a significantly stronger effect of iron fortification on hemoglobin increase than the iron single-fortification strategy (Figure 3).
In our multivariable meta-regression analysis, none of the tested independent variables (mean hemoglobin level before intervention; daily amount of consumed iron, length of follow-up, completeness of follow up) was significantly associated with the change in hemoglobin.
Summary assessment of risk of bias
Risk of bias summary table
Adequate sequence generation?
Incomplete outcome data addressed
Are typical outcomers reported? (Selective outcome reporting)
In summary, the risk of bias for the most often reported outcomes hemoglobin change and anemia rates is unclear. However, a sensitivity analysis including only studies with low risk of bias led to similar results (three studies that fulfilled 4 of 5 quality criteria [8, 25, 26]: hemoglobin increase 0.87 g/dl (95%-CI: 0.09 to 1.65; I2 = 92%). Another sensitivity analysis showed that the result pattern remained basically unchanged after performing analyses using mean values of groups at the end of the study, instead of mean changes of groups.
To our knowledge, this is the first systematic review, that has applied a meta-analysis to specifically weigh the overall evidence for the effects of fortified milk and cereal food suitable for complementary feeding of children. The evidence relates to study populations between 6 month and three years of age. Iron fortification leads to a clinically relevant increase in hemoglobin levels and reduction of anemia rates. For zinc and vitamin A fortification only surrogate parameters are reported, but the combination with iron (MMN approach) leads to a more pronounced effect on hemoglobin levels compared to an iron single-fortification strategy. The evidence for functional health outcomes is inconclusive.
Strengths and limitations
We applied a thorough search strategy with a stepwise retrieval of studies using electronic databases and additional sources. We cannot exclude having missed references but we believe that we found a near complete sample of relevant papers for our specific research question.
Some limitations have to be mentioned. First, included studies showed short follow-up periods, thus the impact of fortified milk or cereal food on functional health outcomes (such as sustainable height and weight gain or mental and motor development) could not be assessed thoroughly. Second, for zinc and vitamin A fortification only surrogate outcomes as serum levels are available. However, the presence of additional fortified micronutrients seems to be important for the effects of iron on hemoglobin levels. The MMN approach is more effective than iron single fortification in our review, reflecting that complex micronutrient deficiencies are responsible for health problems . Third, risk of bias is unclear mainly due to underreporting of the randomization procedure and incomplete outcome data. Finally, pooled estimates have to be interpreted cautiously as statistical heterogeneity between studies was considerable and meta-regression did not reveal significant associations of pre-specified study characteristics with study results. Possible sources for unexplained heterogeneity might be underreporting for co-interventions (e.g. public supplementation or food programs) or the diversity of applied MN preparations that have influence on MN absorption. For example, five different iron compounds were used (12 studies with data: six times FeSulfate; twice FeGluconate; one time, each, FePyrophosphate; FeFumarate; Ferric ammonium citrate; electrolytic iron). In addition, the difference in daily consumed iron between intervention and control group varied between 1.8 mg and 14.3 mg. Furthermore, molar ratios, a determinant for MN absorption, also showed variation (ranges of molar ratios: ascorbic acid/iron: 0.68 to 30; phytic acid/iron: 1.7 to 2.2; calcium/iron: 40 to 134).
Existing systematic reviews and research needs
Important contributions have been made in the recent years with other systematic reviews to evaluate the health effects of MN interventions. These reviews differ from ours: Dewey and Adu-Afarwuah gave a broad systematic overview of studies and programs aimed at improving biochemical and functional outcomes with complementary foods . However, they did not perform a meta-analysis and presented results in a tabulated form or as averaged effect sizes. Some reviews have concentrated on MN supplementation only [44–48] or home fortification , other reviews have combined supplementation and fortification strategies for analysis [20, 50], included children as well as adolescents or adult women [6, 51, 52], or included fortified staple food interventions [6, 52].
The health effects found in our review are in line with effect sizes shown in some similar reviews above [20, 47, 52]. This underpins the validity of our findings and supports a strategy to intervene with fortified milk and cereal food for infants and children. Supplementation trials, for example with vitamin A, have been shown to reduce mortality and morbidity via improved nutritional status [47, 48], even though serum level increases were small , similar to our review. Thus, some authors conclude that fortification would also have an impact on morbidity and mortality, although a conclusive answer cannot yet be given . On the other hand, negative aspects of iron supplementation have been reported, such as increased morbidity and mortality in regions where malaria transmission is intense . Thus, recommendations concerning iron supplementation have been formulated . These adverse effects, however, may not be that relevant for fortified foods. Daily micronutrient dosages of fortified foods are much lower as compared to supplementation. Furthermore, children stop eating once they get saturated, which may also not be the case for high dosage sprinkles, that can be seen as a specific application of supplementation. Nevertheless, long term data concerning negative effects of iron fortified foods in regions with high prevalence of malaria and infectious diseases are lacking.
Further compiled evidence is needed to agree on the optimal MN preparation for fortified milk and cereals (such as composition of MN; suitable compounds; molar ratios for additives) to fully exhaust the potential of this approach. Future studies should also focus on health outcomes of MN fortification beyond the effect of iron on hematological results, for example via long-term follow-up of study populations.
Implications for decision makers
There are multiple delivery mechanisms for fortified milk and cereal food. Production and distribution via government programs and local public agencies would be an obvious option to strengthen local structures. Implementation of effective strategies, however, does not always work well in the field due to logistical problems or inappropriate priority setting . Thus, some have discussed the role of the business community in improving nutrition in developing countries [56–58]. Commercially distributed fortified foods (e.g. with iron) are already available in many markets, even in low-income countries. In a public private partnership, business partners can provide their professional knowledge and experience concerning technical problems with processing and fortification, supply and transport, or refrigeration and conservation issues (specifically important for milk) to get interventions more efficient.
A limitation of the market approach is that it may not reach the poorest of the poor. Thus, a combination of different delivery channels, as well as affordable prices, may be needed. Children with severe anemia, who may be overrepresented in very poor groups, are often excluded from trials due to ethical reasons. One may assume, that the positive effects on the hemoglobin levels may be even stronger for such children. Additional economic analyses are necessary to contribute to a deeper understanding of the health economic effects of such a strategy and to inform the priority setting of decision makers.
Multi micronutrient fortified milk and cereal products can be an effective option to reduce anemia of children up to three years of age in developing countries. On the basis of our data the evidence for functional health outcomes is still inconclusive.
Expert and Affiliation
Lindsay H. Allen - Western Human Nutrition Research Center, USA; Narendra K. Arora - International Clinical Epidemiology Network, INCLEN, India; Zulfiqar A. Bhutta - Aga Khan University, Pakistan; Rodolfo F. Florentino - Nutrition Foundation of the Philippines; Guillermo Meléndez - Mexican Health Foundation, Mexico; Noel W. Solomons - Program Director for Central America, International Nutrition Foundation, Guatemala; Edgar Vasquez-Garibay - University of Guadalajara, Mexico.
Multi micro nutrients
Randomized controlled trial
Weighted mean difference.
Thanks also to Richard Hurrell (Swiss Federal Institute of Technology, Switzerland) and Monika Potter (Dietitian) who provided valuable advice. Thanks to Paul Kelly for English language editing.
The study was supported by the Nestlé Nutrition Institute. The supporting source had no influence on study design; in the collection, analysis, and interpretation of the data; in the writing of the manuscript; and in the decision to submit the manuscript for publication.
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