Food fortification is one approach for addressing anemia, but information on program effectiveness is limited.
We evaluated the impact of Costa Rica’s fortification program on anemia in women aged 15–45 y and children aged 1–7 y.
Reduced iron, an ineffective fortificant, was replaced by ferrous fumarate in wheat flour in 2002, and ferrous bisglycinate was added to maize flour in 1999 and to liquid and powdered milk in 2001. We used a one-group pretest-posttest design and national survey data from 1996 (baseline; 910 women, 965 children) and 2008–2009 (endline; 863 women, 403 children) to assess changes in iron deficiency (children only) and anemia. Data were also available for sentinel sites (1 urban, 1 rural) for 1999–2000 (405 women, 404 children) and 2008–2009 (474 women, 195 children), including 24-h recall data in children. Monitoring of fortification levels was routine.
Foods were fortified as mandated. Fortification provided about one-half the estimated average requirement for iron in children, mostly and equally through wheat flour and milk. Anemia was reduced in children and women in national and sentinel site comparisons. At the national level, anemia declined in children from 19.3% (95% CI: 16.8%, 21.8%) to 4.0% (95% CI: 2.1%, 5.9%) and in women from 18.4% (95% CI: 15.8%, 20.9%) to 10.2% (95% CI: 8.2%, 12.2%). In children, iron deficiency declined from 26.9% (95% CI: 21.1%, 32.7%) to 6.8% (95% CI: 4.2%, 9.3%), and iron deficiency anemia, which was 6.2% (95% CI: 3.0%, 9.3%) at baseline, could no longer be detected at the endline.
A plausible impact pathway suggests that fortification improved iron status and reduced anemia. Although unlikely in the Costa Rican context, other explanations cannot be excluded in a pre/post comparison.
Anemia is endemic throughout the world. In 2011, 29% of nonpregnant women, 38% of pregnant women, and 43% of children aged 6–59 mo were anemic, with estimates improving only modestly since 1995 (
Food fortification is described as one of the most cost-effective strategies available to improve micronutrient status, including iron status (
We searched for relevant data to carry out an evaluation of the national food fortification program in Costa Rica, where wheat and maize flour and liquid and powdered milk are mandated by law to be fortified with iron and other micronutrients. We use a one-group pretest-posttest design (
Costa Rica has been a pioneer and a model for mass fortification (
INCIENSA (Costa Rican Institute of Research and Teaching in Nutrition) supports the Ministry of Health in enforcing and supervising compliance with fortification regulations. Yearly, professionals from INCIENSA visit each food factory and, as part of the auditing/inspection, take samples of the fortified foods. Other samples are taken from the market. Samples are analyzed for their micronutrient content and other chemical and microbiologic parameters in INCIENSA’s laboratories. Total iron is determined by atomic absorption spectrophotometry. Around 100 samples of each type of food are analyzed every year. In a special study in 2008, 246 samples of wheat flour were collected from bakeries in all counties, allowing examination of variation in iron fortification content by mill, brand of flour, and county.
The major changes in the fortification of staples with iron occurred between 1999 and 2002. We analyze national representative surveys carried out before and after these changes, in 1996 (
All national and sentinel surveys were reviewed and approved by INCIENSA’s Scientific Ethics Committee; the 2008–2009 surveys were also reviewed and approved by the National Health Research Council. Adults were read a consent statement, and those agreeing to participate signed the consent form; a copy was given to the participant, and another was kept by the Ministry of Health. The caretaker provided signed, informed consent for children.
Inclusion criteria were the availability of hemoglobin for children and women. We excluded pregnant women because few were included. Sample sizes are given in
All assessments were made at INCIENSA’s laboratories by using venous blood. Hemoglobin was measured with a photometric cyanmethemoglobin method at baseline (
Descriptive statistics are presented as percentages for categorical variables and as means or geometric means, with 95% CIs. Serum ferritin was not normally distributed and thus was presented as a geometric mean and log transformed for all parametric analyses. We checked for outliers (±5 SD) and excluded one improbable hemoglobin value of 43.9 g/dL in women. We used
Dietary recall data (24 h) for preschool children in the 2008–2009 sentinel survey were analyzed to assess the percentage of estimated average requirements (EARs) met from fortification, following methods used by Imhoff-Kunsch and colleagues (
The national surveys used multistage, probabilistic sampling, but sample weights were not generated in 1996 because of uncertainties about the size of the primary sampling units. Sample weights were available for 2008. We carried out the analyses without using sample weights for 1996 and 2008 to have a similar methodologic approach across surveys. Although the variance estimation may be inaccurate, the very large size of the differences found (see Results) makes this potential problem less of an issue. For 2008, we did run weighted and unweighted analyses, and use of sample weights gave identical results to those obtained without them (results not shown). All statistical analyses were conducted with R 3.0.3 (R Core Team) and SAS 9.3 (SAS Institute).
Descriptive statistics are shown in
Hemoglobin and serum ferritin improved, whereas anemia and iron deficiency were reduced in children at national and sentinel site levels (
Dietary data from the sentinel site sites in 2008–2009 for children were used to estimate consumption of wheat and maize flour equivalents and milk, amount of iron from fortification provided by these foods, and percentage of the EAR (
Periodic monitoring showed that the iron content of fortified foods met levels mandated by law (Supplemental Table 2). Special sampling from 2008 showed that the iron content in flour samples collected in bakeries was in compliance, with little variation by county (
We have documented a plausible impact pathway (
The most likely nutrient driving the improvement in anemia is iron because of the substantial drop in iron deficiency. However, other nutrients that also improve hemoglobin (
It is sometimes said that young children are unlikely to benefit as much as adults from fortification because they consume smaller amounts of staple foods. However, children aged 1–3 y in Costa Rica consumed almost as much iron from fortification as did children aged 3–7 y, 2.9 and 3.5 mg/d, respectively (
Fortification, particularly wheat flour fortification, has been described as an intervention more likely to benefit the better off, who have access to and can afford fortified foods (
The key strength of our study is that we had the data to demonstrate a plausible pathway linking the fortification program to improvements in iron status and reductions in anemia (
We think it is unlikely that other factors caused the declines in anemia. There were modest improvements in sociodemographic factors and in nutrition in Costa Rica between 1996 and 2008 (Supplemental Table 3). For example, the percentage of the population in extreme poverty dropped from 6.9% to 3.5%. The percentage of the population with improved drinking water sources went from 94% to 96% and that with improved sanitation facilities from 90% to 94%. Expenditures on health remained similar from 1996 to 2008.
World experience with anemia is that declines occur slowly without specific nutrition interventions (
Our study has limitations. Ferritin was not available for women at baseline. There were no data on changes in other iron status indicators (transferrin receptor and zinc protoporphyrin), markers of inflammation (C-reactive protein and α1-acid glycoprotein), and other micronutrient indicators (zinc, vitamin A, folic acid, and vitamin B-12) to characterize fully the impact of the fortification program and to adjust for inflammation at both endpoints. We lack dietary information for women to estimate the percentage of iron requirement met. These weaknesses, but primarily our pre/post design, suggest caution in interpreting our results as causal. However, the most plausible explanation for the decline in anemia in Costa Rica is the fortification program. We believe our results support the implementation of mass fortification programs to address identified micronutrient deficiencies. Such programs should be designed to be effective, supplying sufficient iron with adequate bioavailability, and be capable of reaching the needy, including young children; this may require use of several vehicles. Our findings suggest that where micronutrient deficiencies exist and where fortification programs are designed, implemented, and monitored adequately, impact will be achieved. As many have noted (
We thank Lawrence Grummer-Strawn, Lynette Neufeld, and Helena Pachón for valuable comments on an early draft; Humberto Méndez for responding to data queries; and Sandra Smith for manuscript preparation.
The findings and conclusions in this report are those of the authors and do not necessarily represent the views of USAID or the U.S. government or the official position of the CDC.
Supported by The Micronutrient Initiative, Ottawa, Canada. This is a free access article, distributed under terms (
Supplemental Figures 1–6 and Tables 1–3 are available from the “Supplemental data” link in the online posting of the article and from the same link in the online table of contents at
The authors’ responsibilities were as follows—RM: obtained funding, had full access to the data, wrote the first draft of the manuscript, and had final responsibility for the decision to submit for publication; MA, LT, and TA: were involved in implementing and monitoring the food fortification program in Costa Rica and provided data, government manuals, and reports; RM and MFY: reviewed the literature; RM, MFY, OYA, OD, and RF-A: designed the analyses; OYA: conducted the analyses; and OD: collated food fortification monitoring data. All authors contributed to later versions of the manuscript and read and approved the final version. None of the authors reported a conflict of interest related to the study. The sponsor of the study had no role in study design, data collection, data interpretation, or writing of the manuscript.
Total iron content of wheat flour sampled from bakeries across all counties in Costa Rica in 2008. Total iron content includes intrinsic iron as well as iron added as ferrous fumarate. The dotted line represents the mandated fortification content, 55 mg/kg.
Program impact pathway for mass fortification programs.
Fortification of staple foods and condiments in Costa Rica
| Staple | Year started | Nutrient | Content |
|---|---|---|---|
| Wheat flour | 2002 | Thiamin | 6.2 mg/kg |
| Riboflavin | 47.2 mg/kg | ||
| Niacin | 55.0 mg/kg | ||
| Folic acid | 1.8 mg/kg | ||
| Iron (ferrous fumarate) | 55.0 mg/kg | ||
| Milk | 2001 | Iron (ferrous bisglycinate) | 1.4 mg/250 mL |
| Vitamin A | 180.0 | ||
| Folic acid | 40.0 | ||
| Maize flour | 1999 | Iron (ferrous bisglycinate) | 22.0 mg/kg |
| Niacin | 45.0 mg/kg | ||
| Thiamin | 4.0 mg/kg | ||
| Riboflavin | 2.5 mg/kg | ||
| Folic acid | 1.3 mg/kg | ||
| Rice | 2002 | Folic acid | 1.8 mg/kg |
| Thiamin | 6.0 mg/kg | ||
| Vitamin B-12 | 10.0 | ||
| Niacin | 50.0 mg/kg | ||
| Vitamin E | 15.0 IU/kg | ||
| Selenium | 105.0 | ||
| Zinc | 19.0 mg/kg | ||
| Salt | 1972 | Iodine | 30–60 mg/kg |
| Fluoride | 175–225 mg/kg | ||
| Sugar | 2003 | Vitamin A | 5.0 mg/kg |
Wheat flour had been fortified with reduced iron since 1958. In 2002, the fortificant was changed to ferrous fumarate. The extraction rate was ~76%.
Powdered milk is also fortified with ferrous bisglycinate at 11.0 times the content of liquid milk, or 62.8 mg/kg, to provide an equivalent amount when reconstituted. Powdered milk also contains vitamin C.
Fluoride was added in 1987.
Sugar was fortified with vitamin A from 1974 to 1981; it was reinitiated in 2003.
Descriptive data for preschool children (aged 1–7 y)
| Descriptors | National surveys
| Sentinel sites
| ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1996 ( | 2008–2009 ( | Difference, | 1999–2000 ( | 2008–2009 ( | Difference, | |||||
| Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | |||||||
| Continuous | ||||||||||
| Age, y | 965 | 4.2 (4.1, 4.3) | 403 | 4.2 (4.0, 4.4) | 0.976 | 404 | 4.0 (3.9, 4.2) | 195 | 4.0 (3.7, 4.2) | 4.2 (4.1, 4.3) |
| Hemoglobin, g/dL | 965 | 12.1 (12.1, 12.2) | 403 | 12.8 (12.7, 12.9) | <0.001 | 404 | 12.1 (12.0, 12.2) | 195 | 12.6 (12.5, 12.8) | <0.001 |
| Serum ferritin, | 227 | 20.5 (18.0, 23.1) | 370 | 32.1 (30.3, 34.5) | <0.001 | 391 | 19.9 (18.2, 21.7) | 90 | 31.5 (25.7, 38.6) | <0.001 |
| Categorical | ||||||||||
| Male sex | 462 | 47.9 (44.7, 51.0) | 228 | 56.6 (51.7, 61.4) | 0.003 | 198 | 49.0 (44.1, 53.9) | 93 | 47.7 (40.7, 54.7) | 0.766 |
| Area of residence | ||||||||||
| Urban | 341 | 35.3 (32.3, 38.3) | 174 | 43.2 (38.3, 48.0) | 0.008 | 197 | 49.0 (43.9, 53.6) | 98 | 50.3(43.2, 57.3) | 0.732 |
| Rural | 318 | 33.0 (30.0, 36.0) | 130 | 32.2 (27.7, 36.8) | 207 | 51.0 (46.4, 56.1) | 97 | 49.7 (42.7, 56.8) | ||
| Metropolitan | 306 | 31.7 (28.8, 34.7) | 99 | 24.6 (20.4, 28.8) | — | — | ||||
| Anemia | 19.3 (16.8, 21.8) | 4.0 (2.1, 5.9) | <0.001 | 20.0 (16.1, 13.9) | 9.7 (5.6, 13.9) | 0.002 | ||||
| Iron deficiency | 26.9 (21.1, 32.7) | 6.8 (4.2, 9.3) | <0.001 | 28.6 (24.2, 33.1) | 13.3 (6.3, 20.4) | <0.001 | ||||
| Iron deficiency anemia | 6.2 (3.0, 9.3) | 0.0 | <0.001 | 9.0 (6.1, 11.8) | 0.0 | <0.001 | ||||
Values are geometric means.
Anemia was adjusted for altitude and defined as hemoglobin <11 g/dL for children aged <5 y and <11.5 g/dL for children aged 5–7 y.
Deficiency was defined as serum ferritin <12
Descriptive data for women of reproductive age (15–45 y)
| Descriptors | National surveys
| Sentinel sites
| ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1996 ( | 2008–2009 ( | Difference, | 1999–2000 ( | 2008–2009 ( | Difference, | |||||
| Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | |||||||
| Continuous | ||||||||||
| Age, y | 910 | 30.9 (30.4, 31.4) | 863 | 31.3 (30.7, 31.8) | 0.315 | 405 | 31.2 (30.6, 31.8) | 474 | 30.6 (29.8, 31.4) | 0.250 |
| Hemoglobin, g/dL | 910 | 12.9 (12.8, 13.0) | 863 | 13.3 (13.2, 13.4) | <0.001 | 405 | 12.9 (12.8, 13.0) | 474 | 13.4 (13.3, 13.5) | <0.001 |
| Categorical | ||||||||||
| Area of residence | ||||||||||
| Urban | 305 | 34.3 (31.2, 37.4) | 299 | 43.7 (40.4, 47.0) | 0.001 | 198 | 51.1 (46.2, 56.0) | 199 | 58.0 (53.6, 62.5) | 0.040 |
| Rural | 293 | 33.5 (30.4, 36.6) | 187 | 34.6 (31.5, 37.8) | 207 | 48.9 (44.0, 53.8) | 275 | 42.0 (37.5, 46.4) | ||
| Metropolitan | 312 | 32.2 (29.2, 35.2) | 377 | 21.7 (18.9, 24.4) | — | — | ||||
| Anemia | 18.4 (15.8, 20.9) | 10.2 (8.2, 12.2) | <0.001 | 18.0 (14.3, 21.8) | 8.7 (6.1, 11.2) | <0.001 | ||||
Anemia was adjusted for altitude and defined as hemoglobin <12 g/dL.
Prevalence of anemia in preschool children (aged 1–7 y) by sex, area of residence, and age
| Descriptors | National surveys
| Sentinel sites
| ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1996 ( | 2008–2009 ( | Difference, | 1999–2000 ( | 2008–2009 ( | Difference, | |||||
| Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | |||||||
| Sex | ||||||||||
| Male | 462 | 19.9 (16.3, 23.6) | 228 | 4.4 (1.7, 7.1) | <0.001 | 198 | 23.2 (17.3, 29.1) | 93 | 10.8 (4.4, 17.1) | <0.001 |
| Female | 503 | 18.7 (15.3, 22.1) | 175 | 3.4 (0.7, 6.1) | <0.001 | 206 | 17.0 (11.8, 22.1) | 102 | 8.8 (3.3, 14.4) | 0.049 |
| Area of residence | ||||||||||
| Urban | 341 | 24.1 (19.6, 28.7) | 174 | 4.6 (1.5, 7.7) | <0.001 | 197 | 16.2 (11.1, 21.4) | 98 | 3.1 (20.4, 6.5) | <0.001 |
| Rural | 318 | 21.7 (17.1, 26.2) | 130 | 1.5 (−0.6, 3.7) | <0.001 | 207 | 23.7 (17.9, 29.5) | 97 | 16.5 (9.1, 23.9) | 0.050 |
| Metropolitan | 306 | 11.4 (7.9, 15.0) | 99 | 6.1 (1.3, 10.8) | <0.003 | — | — | |||
| Child age, y | ||||||||||
| 1–3 | 265 | 30.0 (24.3, 35.6) | 111 | 4.6 (0.6, 8.5) | <0.001 | 122 | 36.1 (27.5, 44.6) | 65 | 16.9 (7.7, 26.1) | <0.001 |
| >3–7 | 700 | 15.4 (12.7, 18.1) | 292 | 3.7 (1.6, 5.9) | <0.001 | 282 | 13.1 (9.2, 17.1) | 130 | 6.2 (2.0, 10.3) | 0.011 |
| Total | 19.3 (16.8, 21.8) | 4.0 (2.1, 5.9) | <0.001 | 20.0 (13.9, 16.1) | 9.7 (5.6, 13.9) | 0.008 | ||||
Anemia was adjusted for altitude and defined as hemoglobin <11 g/dL for children aged <5 y and <11.5 g/dL for children aged 5–7 y.
Anemia prevalence by area of residence for women of reproductive age (15–45 y)
| Descriptors | National surveys
| Sentinel sites
| ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1996 ( | 2008–2009 ( | Difference, | 1999–2000 ( | 2008–2009 ( | Difference, | |||||
| Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | Mean (95% CI) | |||||||
| Area of residence | ||||||||||
| Urban | 305 | 19.9 (15.4, 24.3) | 299 | 10.1 (7.0, 13.1) | <0.001 | 198 | 20.3 (14.8, 25.8) | 199 | 6.2 (3.3, 9.0) | <0.001 |
| Rural | 293 | 18.4 (14.0, 22.7) | 187 | 9.7 (6.3, 13.1) | <0.001 | 207 | 15.7 (10.6, 20.7) | 275 | 12.1 (7.5, 16.6) | 0.123 |
| Metropolitan | 312 | 16.7 (12.4, 21.0) | 377 | 11.2 (6.7, 15.8) | <0.001 | — | — | |||
| Total | 18.4 (15.8, 20.9) | 10.2 (8.2, 12.2) | <0.001 | 18.0 (14.3, 21.8) | 8.7 (6.1, 11.2) | <0.001 | ||||
Anemia was adjusted for altitude and defined as hemoglobin <11 g/dL for children aged <5 y and <11.5 g/dL for children aged 5–7 y.
Estimated daily iron contribution added from fortification for children aged 1–7 y in the 2008–2009 sentinel site survey
| Food | Consumption, g or mL/d | Iron, mg/d | Percentage of EAR |
|---|---|---|---|
| Urban community ( | |||
| Wheat flour | 56.2 (31.1–93.8) | 1.9 (1.0–3.1) | 26.7 (17.7–45.1) |
| Maize flour | 0.0 (0.0–7.5) | 0.0 (0.0–0.2) | 0.0 (0.0–2.8) |
| Milk | |||
| Powdered | 0.0 (0.0–11.6) | 1.5 (0.6–2.7) | 21.4 (8.4–39.2) |
| Liquid | 104.2 (14.7–312.5) | ||
| All fortified foods | 3.9 (2.5–5.9) | 56.6 (35.8–88.4) | |
| Rural community ( | |||
| Wheat flour | 25.0 (10.3–40.9) | 0.8 (0.3–1.4) | 12.5 (4.4–19.4) |
| Maize flour | 0.0 (0.0–24.4) | 0.0 (0.0–0.4) | 0.0 (0.0–5.6) |
| Milk | |||
| Powdered | 14.4 (0.0–43.8) | 1.3 (0.5–3.0) | 18.4 (7.5–41.7) |
| Liquid | 0.0 (0.0–53.6) | ||
| All fortified foods | 2.8 (1.6–4.5) | 38.1 (22.4–67.7) | |
| Children aged <3 y ( | |||
| Wheat flour | 30.0 (19.5–52.8) | 1.0 (0.6–1.5) | 18.2 (10.6–27.4) |
| Maize flour | 0.0 (0.0–6.3) | 0.0 (0.0–0.1) | 0.0 (0.0–2.0) |
| Milk | |||
| Powdered | 0.0 (0.0–38.0) | 1.3 (0.4–3.5) | 24.4 (8.1–65.6) |
| Liquid | 14.7 (0.0–112.5) | ||
| All fortified foods | 2.9 (1.3–5.2) | 54.3 (24.4–96.8) | |
| Children aged 3–7 y ( | |||
| Wheat flour | 45.5 (18.8–79.2) | 1.4 (0.6–2.8) | 18.6 (7.9–38.1) |
| Maize flour | 0.0 (0.0–22.1) | 0.0 (0.0–0.4) | 0.0 (0.0–6.0) |
| Milk | |||
| Powdered | 0.0 (0.0–28.2) | 1.4 (0.6–2.6) | 19.3 (7.8–35.3) |
| Liquid | 50.0 (0.0–225.0) | ||
| All fortified foods | 3.5 (2.1–5.1) | 46.6 (28.8–69.1) | |
| Pooled sample ( | |||
| Wheat flour | 38.8 (18.8–71.7) | 1.2 (0.6–2.3) | 18.5 (9.7–35.3) |
| Maize flour | 0.0 (0.0–15.0) | 0.0 (0.0–0.3) | 0.0 (0.0–4.4) |
| Milk | |||
| Powdered | 0.0 (0.0–32.5) | 1.4 (0.5–2.8) | 21.2 (8.1–41.4) |
| Liquid | 31.3 (0.0–175.0) | ||
| All fortified foods | 3.3 (1.9–5.2) | 48.6 (28.6–80.4) |
Values are medians; 25th–75th percentiles in parentheses. The EAR is 5.4 mg/d for children aged 1–3 y and 7.4 mg/d for children aged >3–7 y, respectively, assuming 10% bioavailability. EAR, estimated average requirement.