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Revista Brasileira de Epidemiologia

Print version ISSN 1415-790XOn-line version ISSN 1980-5497

Rev. bras. epidemiol. vol.18 no.2 São Paulo Apr./June 2015 

Original Articles

Vitamin A status and associated factors in infants attending at Primary Health Care in Goiânia, Goiás, Brazil

Lara Lívia Santos da Silva I  

Maria do Rosário Gondim Peixoto II  

Maria Claret Costa Monteiro Hadler II  

Sara Araújo da Silva III  

Fernanda Cobayashi IV  

Marly Augusto Cardoso V  

IGraduate Program in Nutrition and Health, School of Nutrition, Universidade Federal de Goiás - Goiânia (GO), Brazil

IISchool of Nutrition, Universidade Federal de Goiás - Goiânia (GO), Brazil

IIIGeneral Coordination of Food and Nutrition, Ministry of Health - Brasília (DF), Brazil

IVGraduate Program in Public Health Nutrition, Public Health School, Universidade de São Paulo - São Paulo (SP), Brazil

VDepartment of Nutrition, Public Health School, Universidade de São Paulo - São Paulo (SP), Brazil



This study aimed to assess the nutritional status of vitamin A and associated factors in children assisted in Primary Care Health in Goiânia, Goiás, Brazil.


This is a cross-sectional study with a sample of 228 children 12 to 16 months of age. The nutritional status of vitamin A was assessed by serum retinol concentration, determined by high performance liquid chromatography. Multiple linear regression models with hierarchical selection of independent variables were used to evaluate the correlation with serum retinol as the dependent variable.


The vitamin A deficiency (retinol < 0,7 μmol/L) was observed in 14,0% of the children. Maternal schooling and hemoglobin concentration were positively correlated with serum retinol concentration, while C-reactive protein showed a negative correlation (R2 = 0,1648).


The vitamin A deficiency in one-year-old children attended in Basic Health Units in Goiânia configures itself as a moderate public health problem. Actions to promote maternal education, morbidity control and prevention of other micronutrient deficiencies are important for prevention and control of the vitamin A deficiency in this population.

Key words: Vitamin A; Micronutrients; Infant; Child health; Nutritional status; Primary health care


Vitamin A deficiency (VAD) is one of the main nutritional deprivations in childhood, affecting approximately 190 million preschoolers around the world1. In Brazil, according to the National Research on Demography and Health, conducted in 2006, 17.4% of the children aged less than 5 years old presented with VAD, mostly in the Center-West region (11.8%)2, which, according to the World Health Organization (WHO), represents a moderate public health problem in this region1.

A study carried out in municipal daycare facilities in Goiânia, Goiás, with children aged from 6 to 24 months old, found 21.7%3 prevalence of VAD. Other studies conducted in different cities of the country, including children aged less than 2 years old, found prevalence rates ranging from 9.6 to 39.6%4 - 7.

VAD is the main cause of avoidable blindness in childhood, and contributes with the increasing number of deaths and infectious diseases among children because it reduces the immune resistance to diseases such as diarrhea and measles1. The low concentrations of vitamin A among children aged less than two years old can be caused by inadequate complementary diet, characterized by the non-offer of breast milk, inopportune introduction of complementary diet, or the latter not contemplating sources of vitamin A8. Besides, frequent infections are associated with low concentrations of serum retinol, poor absorption and increasing catabolism of this vitamin8 , 9.

Other factors may be associated with the retinol concentration in childhood, such as socioeconomic and environmental conditions10 - 13, maternal characteristics, like mother's age and number of prenatal appointments14, and anthropometric features of the child, such as birth weight15 and anthropometric indexes11 , 16. However, these factors are still controversial in literature17 , 18.

The main actions of food and nutrition addressed to the prevention and control of vitamin A deficiency are the periodical supplementation with megadoses of vitamin A, food fortification and dietary changes and diversification1. In Brazil, the main action is promoted by the National Program of Vitamin A Supplementation, created in 1983, which distributes megadoses of vitamin A for children aged from 6 to 59 months old19. At first, this program only involved the regions with higher prevalence of VAD in the country; however, in 2012 it was amplified and, after December 2012, it began to work in the Basic Health Units (UBS) of Goiânia, Goiás.

Knowing the nutritional status of vitamin A and its associated factors among children attending the UBS is important to clarify the factors that are associated with this deficiency in childhood, as well as to guide the implementation of public policies tha can improve the National Program of Vitamin A Supplementation, which was recently established in Goiânia. This way, it becomes more efficient to solve this problem. Therefore, the objective of this study was to assess the nutritional status of vitamin A and its associated factors among 1-year-olds assisted at UBSs in Goiânia, Goiás.


This cross-sectional study is part of a pragmatic clinical trial called "Effectiveness of home fortification with vitamins and minerals for the prevention of iron deficiency and anemia in infants younger than 1 year of age: a multi-center study of Brazilian cities".

The study sample was composed of participants in the control group, with children aged from 12 to 16 months old, from both genders, assisted at the child-care center in 12 UBSs in the city of Goiânia, Goiás, from June, 2012, to February, 2013. The study excluded premature children, twins, with malaria, HIV, tuberculosis, hemoglobinopathies and the ones being treated for anemia at the time of the study.

The sample size was calculated for the main study. The main outcome was considered to be the increasing mean concentration of blood hemoglobin. For 95% power and 5% significance level (bicaudal), 105 children were in each group to detect a 6 g/L difference between the means of hemoglobin, with estimated standard-deviation of 12 g/L20. The sample predicted for the city of Goiânia contemplated twice the sample. For the control group, 210 children were necessary, and more 30% to cover for possible losses and refusals; therefore, the sample comprised 270 children. The study included 303 children, however, 70 did not collect blood. The reasons for that were parents giving up the participation (n = 62), loss of contact with the child (n = 5), and children who were older than the analyzed age group (n = 3). The blood samples of five children were not sufficient for the evaluation of serum retinol, resulting in a final sample of 228 children. This sample size allowed the detection of 0.20 correlation, with 80% power and 0.05 significance level20.

The team in the field was composed of nutritionists and graduate students at the School of Nutrition at Universidade Federal de Goiás and Pontifícia Universidade Católica de Goiás. After the team was trained, interviewers went to the UBSs participating in the study, and after the identification and explanation of the study's objectives, mothers or people in charge of the children were invited to voluntarily participate in the research by signing the informed consent. A structured questionnaire was used to collect data regarding socioeconomic, demographic, and maternal conditions, as well as breast milk, and use of vitamin A and D supplementation by the child.

Weight and length measurements of the children were obtained in duplicate and sequentially, by using standardized procedures21. Satisfactory measurements where those in which the maximum weight variation was of 100 grams; and length, 0.5 cm. The mean value of both measurements was analyzed. Weight was measured with an electronic scale from WISO, model @-835, capacity for 180 kg, 100g grading. The children were weighed and measured naked, at the presence of the mother or person in charge. Weight was measured with the mother holding the child and, then, the weight of the mother was discounted. Length was assessed by a portable infantometer from Sanny, model ES-2000, with 1m extension and 1mm accuracy. Children were measured in dorsal decubitus, on a flat surface, and the value was registered in centimeters. The Z scores of body mass index/age and height/age were obtained by using the WHO anthro software, version 3.2.2. Z scores ≥ 4 e ≤ -4 in both analyzed anthropometric indexes were excluded from the analysis.

Blood was collected by properly trained professional, and collection was schedule up to a week after the interview. It took place in the household, laboratory or UBS, according to the preference of the people in charge of the child. Samples of up to 10 mL of venous blood were collected from the children, early in the morning, with minimum fasting time of three hours. Blood hemoglobin was determined at the time of blood collection by a portable hemoglobinometer from Hemocue. The volume of obtained blood was stored in a dry test tube to obtain the serum, protected from the light, and in a tube with EDTA to obtain the plasma. After clot retraction, the blood was centrifuged at 3,000 rotations per minute and blood samples were separated in microtubes, being frozen at -20ºC until being transported to the laboratory of Human Nutrition in the Department of Nutrition of the Public Health School at Universidade de São Paulo. There, they were stored at -70ºC until the conduction of biochemical analyses. For the determination of serum retinol, an aliquot of about 1.5 mL of serum was maintained in an ambar microtube, and, for the analysis of C-reactive protein (CRP), 500 µL of plasma were placed in a transparent microtube.

Serum retinol was analyzed by high-resolution liquid chromatography (HPLC-110, Hewlett-Packard, United States)22 and the plasmatic determination of CRP was conducted by an ultra-sensitive method (chemiluminescence). Children with serum retinol concentrations lower than 1.05 µmol/L and 0.7 µmol/L were considered to have vitamin A insufficiency and deficiency, respectively23. The presence of subclinical infection was assessed by CRP values > 5 mg/L24. Data were doubly typed using the software Epi Info 5.3.1 for Windows. After typing, the bank was converted to the software Stata, version 12.0 for data processing and analysis. The normality of continuous variables was analyzed by the Shapiro-Wilk test. For the characterization of the sample, absolute and relative frequencies were calculated for the categorical variables; mean and standard-deviation, for continuous variables with normal distribution; and median and interquartile interval for the variables without normal distribution. Differences in the prevalence of VAD were analyzed by the Pearson's χ2 test.

The independent variables selected for this study were gender (male/female), age of the child in months, per capita income in reais, maternal schooling in years, treatment of drinking water, categorized as inadequate (untreated or chlorinated) and adequate (filtered, boiled or mineral), sanitary sewer (without public network/with public network), number of children aged less than five years old in the house (1 child/more than 1 child), maternal age in years, number of prenatal appointments, weight at birth in kilograms, body mass index per age (BMI/age) and height per age in Z score, age of weaning in days, use of vitamin A and D supplements (never used them/has used them or still does), diarrhea in the past 15 days (yes/no), hemoglobin in g/dL and CRP in mg/L. The serum retinol concentration in µmol/L was considered as a dependent variable, in the logarithm base, to meet the presupposition of normal distribution.

To estimate the effect of independent variables on the outcome of interest, multiple linear regression models with hierarchical selection of variables were used, as proposed by Victora et al.25. A theoretical model to determine VAD was previously elaborated: the selected independent variables were grouped in three blocks, ordered according to the influence on the outcome. The most distal block was composed of sociodemographic variables (age, gender, per capita income and maternal schooling); the intermediate block had environmental variables (treatment of drinking water, sanitary sewer and number of children aged less than five years old in the house) and maternal variables (maternal age and number of prenatal appointments); and the proximal block, with variables related to the child, such as anthropometric variables (weight at birth, BMI/age and height/age), related to breastfeeding/supplementation (age of weaning and vitamin A and D supplementation) and presence of morbidities (diarrhea in the past 15 days, hemoglobin and CRP).

At first, linear regression models adjusted by age and gender and were analyzed for the selection of variables to be tested in multiple models (p ≤ 0.20). Afterwards, in each block of determination, from the distal to the proximal ones, variables presenting p-values < 0.10 in the Wald test were removed from the model and tested individually to check if their insertion in the model would improve the coefficient of determination, or they would change the magnitude of the beta coefficient of variables in the tested block in more than 10%. Factors associated with the serum retinol concentration were considered to be the variables that, after the adjustment for potential factors in the same block and hierarchically superior blocks, presented p-value < 0.05 in the final model.

The research protocol was submitted to and approved by the Research Ethics Committees from the Public Health School of Universidade de São Paulo and Universidade Federal de Goiás, protocol n. 2291/2013 and 065/12, respectively. Data collection took place before the consent from the Municipal Secretariat of Health in Goiânia, Goiás.


The description of the studied population is presented in Table 1. The study comprised 228 children, being 115 male (50.4%). The age of the children ranged from 12 to 16 months old, and the median was 14 months.

Table 1. Characterization of the sample of children assisted in Basic Health Units of Goiânia, Goiás, 2013 (n = 228). 

Variables n (%)*
median (p25 – p75)
Mean ± SD
Gender  (n = 228)
    Male 115 (50.4)
    Female 113 (49.6)
Age (months) (n = 228) 14 (13 – 14)
Per capita income (R$) (n = 225) 300 (200 – 441.7)
Maternal schooling (years) (n = 225) 11 (8 – 11)
Treatment of drinking water (n = 228)
    Inadequate 48 (21.0)
    Adequate 180 (79.0)
Sanitary sewer (n = 227)
    Without public network 99 (43.6)
    With public network 128 (56.4)
Children with < 5 years old in the house  (n = 228)
    1 child 177 (77.6)
    > 1 child 51 (22.4)
Mother’s age (years) (n = 228) 27 (23 – 32)
Number of prenatal appointments (n = 214) 8 (6 – 10)
Weight at birth (kg) (n = 227) 3.2 ± 0.5
Body mass index/age (Z score) (n = 222) 0.3 ± 1.2
Height/age index (Z score) (n = 225) 0.1 ± 1.2
Age of weaning (days) (n = 105) 180 (90 – 240)
Vitamin A and D supplementation (n = 226)
    Never used it 193 (85.4)
    Has used it or uses it 33 (14.6)
Diarrhea in the past 15 days (n = 228)
    No 174 (76.3)
    Yes 54 (23.7)
Hemoglobin (g/dL) (n = 227) 12.5 ± 0.9
C-reactive protein (mg/L) (n = 223) 0.5 (0.2 – 1.7)

*Differences in absolute frequencies correspond to missing values.

The per capita income median was R$ 300.00, and maternal schooling was 11 years. Regarding the environmental characteristics, 56.4% of sanitary sewer came from the public network, and for 79% of the children, the treatment of drinking water was adequate. In 77.6% of the household there was only 1 child younger than 5. Regarding the data from the mothers, the median age was 27 years old, and the median number of prenatal appointments during pregnancy was 8.

As to the data related to the children, the mean weight at birth was 3.2 ± 0.5 kg and the mean BMI/age and height/age rates were within normal patterns (0.3 ± 1.2 and 0.1 ± 1.2 Z score, respectively). The median age of weaning was 180 days, and approximately 85% of the children had never taken vitamin A and D supplementation. Regarding the indicators of morbidity, 23.7% of the children had diarrhea in the 15 days prior to data collection, the mean of hemoglobin was 12.5 ± 0.9 g/dL and the median CRP was 0.5 (0.2 - 1.7) mg/L.

The median of serum retinol concentration was 1.3 (0.9 - 1.8) µmol/L. Vitamin A insufficiency (retinol < 1.05 µmol/L) was present among 34.2% of the children (data not shown), and VAD (retinol < 0.7 µmol/L), among14.0% (Table 2). Higher prevalence of VAD was observed among children whose mothers had lower schooling (p = 0.027) and among those with CRP > 5 mg/L (p < 0.001). The prevalence of subclinical infection (CRP > 5 mg/L) was 13.9%. After excluding children with subclinical infection from the analysis, the prevalence of VAD decreases to 9.9, thus representing a 4.1% overestimation in the general prevalence of VAD (Table 2).

Table 2. Prevalence of vitamin A deficiency among children analyzed by gender, maternal schooling and C-reactive protein. Goiânia, Goiás, 2013 (n = 228). 

Variables Total
n (%)
Vitamin A deficiency*
n (%) p-value**
Total 228 (100,0) 32 (14.0)
Gender 0.414
   Male 115 (50.4) 14 (12.2)
   Female 113 (49.6) 18 (15.9)
Maternal scholing (n = 225) 0.027
   < 9 schooling years 68 (30.2) 15 (22.1)
   ≥ 9  schooling years 157 (69.8) 17 (10.8)
CRP (mg/L) (n = 223) < 0.001
   ≤ 5 192 (86.1) 19 (9.9)
   > 5 31 (13.9) 12 (38.7)

*Serum retinol < 0.7 µmol/L; **Pearson's ?2 test; CRP: C-reactive protein.

Table 3 presents the results of linear regression analyses adjusted for age and gender between the independent variables and serum retinol concentration. For socioeconomic factors, it was possible to observe a positive and significant correlation only for the maternal schooling variable. For environmental and maternal factors, no significant correlation was found, and regarding the factors related to the children, the hemoglobin variable was positively correlated with serum retinol concentration, unlike CRP, which was negatively correlated to this outcome. The variables that were tested in multiple models were per capita income, maternal schooling, treatment of drinking water, number of children aged less than 5 years old, maternal age, hemoglobin and CRP, since they presented p-value ≤ 0,20.

Table 3. Factors associated with the concentration of serum retinol among children assisted at the Basic Health Units of Goiânia, Goiás, 2013. 

Variables β* 95%CI p-value
Per capita income 0.000 -0.000 – 0.000 0.083
Maternal schooling 0.021 0.007 – 0.035 0.003
Treatment of drinking water
    Inadequate 1
    Adequate 0.091 -0.008 – 0.190 0.070
Sanitary sewer
    Without public network 1
    With public network 0.030 -0.052 – 0.112 0.468
Children with < 5 years old in the house
    1 child 1
    > 1 child -0.083 -0.180 – 0.013 0.091
Mother’s age 0.005 -0.001 – 0.010 0.095
N. of prenatal appointments -0.001 -0.016 – 0.014 0.907
Weight at birth -0.000 -0.000 – 0.000 0.473
Body mass index/age 0.012 -0.022 – 0.046 0.496
Height/age index 0.004 -0.031 – 0.039 0.820
Age of weaning 0.000 -0.000 – 0.001 0.500
Vitamin A and D supplementation
    Never used it 1
Has used it or uses it 0.0558 -0.059 – 0.171 0.340
Diarrhea in the past 15 days
    No 1
    Yes -0.038 -0.133 – 0.057 0.436
Hemoglobin 0.092 0.049 – 0.134 < 0.001
C-reactive protein -0.020 -0.027 – -0.013 < 0.001

*Adjusted for gender and age; 95%CI: 95% confidence interval

The variables that were maintained in the final multiple model were maternal schooling, hemoglobin and CRP (Table 4). For each year in maternal schooling and for each unit of hemoglobin there is an increment of 0.018 µmol/L and 0.049 µmol/L, respectively, in the log of serum retinol of the studied children. As to CRP, there is a negative correlation with serum retinol concentrations; for each unit of CRP, there is a 0.017 µmol/L decrease in the retinol log. Approximately 16.5% of the variability of serum retinol concentrations in these children can be explained by these three variables. CRP has contributed the most to determine the serum retinol concentration in this sample, even after the exclusion of children with CRP > 10 mg/L (data not shown).

Table 4. Multiple linear regression models for the serum concentration of retinol of children assisted at Basic Health units of Goiânia, Goiás, 2013. 

Variables Adjusted β* 95%CI p-value R2 Standardized β**
Block I 0.0232
   Per capita income 0.000 -0.000 – 0.000 0.385
   Maternal schooling 0.018 0.003 – 0.032 0.017 0.158
Block II 0.0360
Treatment of drinking water
   Inadequate 1
   Adequate 0.041 -0.061 – 0.143 0.434
N. of children < 5 years old
   1 child 1
   > 1 child -0.058 -0.154 – 0.038 0.235
Mother’s age 0.003 -0.002 – 0.009 0.249
Bloco III 0.1648
Hemoglobin 0.049 0.007 – 0.090 0.022 0.151
C-reactive protein -0.017 -0.024 – -0.010 < 0.001 -0.300

*Adjusted for age, sex and the variables in the previous blocks; 95%CI: 95% confidence interval; **Represents the standardized measurement of the parameter effect on the outcome (presented for the variables that remained in the final multiple model).


The prevalence of VAD found in this study was 14.0%, which represents a moderate public health problem according to the criteria adopted by the WHO1. The median of serum retinol was within normal patterns, and higher concentrations of retinol were observed among children whose mothers had higher schooling, those with higher hemoglobin concentration and lower CRP concentration.

The prevalence of VAD was similar to that of studies conducted with children aged less than two years old in other regions of the country4 - 6. In Belo Horizonte, Minas Gerais, an analysis conducted in a UBS with children aged from 6 to 24 months old found prevalence of 17.7%4. A population-based cross-sectional study conducted in Acrelândia, Acre, with children aged from 6 to 24 months old, found prevalence of 14.9%6, and in Viçosa, Minas Gerais, the prevalence was 9.6%5 for children aged 12 to 20 months old. However, the prevalence of VAD found in this study was lower to that found in day care facilities of the city of Goiânia, Goiás, whose prevalence was 21.7%3. This difference can be attributed to the prevalence of subclinical infection found in each study, being 13.9% in this study and 41.4% in the aforementioned analysis.

Even though the general prevalence of VAD in this study is 14.0%, this prevalence was overestimated in 4.1% after excluding the children with subclinical infection (PCR > 5 mg/L). Similar overestimations in the real prevalence of VAD were found in the analyses by Queiroz et al.13 (2.0%) and Danneskiold-Samsøe et al.26 (5.5%), who used CRP ≥ 6 mg/L and CRP > 5mg/L as cutoff points for infection, respectively.

Despite being the most used indicator to assess the nutritional status of vitamin A, the serum retinol concentration can be reduced in infectious processes, even if the vitamin stores in the liver are at normal levels. This reduction is owed to the fact that the retinol binding protein (RBP) is at a negative acute phase. This fact generates lower mobilization of vitamin A, not necessarily reflecting its defficiency23 , 24.

So, Thurnham et al.24 proposed the correction of the effects of subclinical infection when trying to estimate the prevalence of VAD in a population. Therefore, they suggest the exclusion of individuals with high values of acute and chronic phase proteins, such as CRP > 5 mg/L and alpha-1-acid glycoprotein > 1.0 g/L.

Maternal schooling was positively correlated with the concentration of serum retinol in this study. In literature, many studies have shown a strong connection between maternal schooling and the health of the child, especially concerning preventive (hygiene, immunization and diet) and curative care (handling diseases in the household and looking for care early)27 , 28. According to Glewwe29, maternal schooling has influence on the health of the children in three aspects:

  1. 1. formal education transfers basic health-related knowledge for mothers-to-be at school;

  2. 2. reading and mathematics skills that women learn at school improve their ability to identify diseases and look for treatment for their children; they also improve the understanding of orientations passed on by health professionals; and

  3. 3. the women become more receptive to modern medicine.

Besides, maternal schooling can work on the health conditions of children only for elevating the socioeconomic status of the house. This happens because women with higher schooling earn more, marry men who also have higher schooling and, therefore, higher income, and live in better neighborhoods, with sanitary conditions. These factors influence the health of the child and, consequently, nutritional deficiencies27 , 28.

This finding is in accordance with that by Rohner et al.30. In a cross-sectional study conducted in the Philippines, they found a positive association between maternal schooling and VAD. Also, Yang et al.31 conducted a study in China and found a negative association between parental schooling and the risk of developing VAD. Even though it is a strong determinant of the reduction in serum retinol concentrations in international studies30 , 31, most Brazilian analyses that observed the association between maternal schooling and VAD did not find such an association13 - 15 , 18.

The levels of hemoglobin were also positively correlated with the serum retinol concentration in this study. This narrow association between VAD and anemia is demonstrated in epidemiological studies conducted in some countries32 - 34. According to Semba and Bloem32, vitamin A seems to be involved in the origin of anemia due to several biological mechanisms. This vitamin directly affects hematopoiesis, since it works on distinguishing the erythrocyte and on moving iron stores; it increases the resistance to infections, which could influence hematopoiesis. Kan et al.33 showed that the serum retinol concentration was positively correlated with the concentration of hemoglobin in children from Vietnam; then, Jafari et al.34 also demonstrated that this variable had a significant association with the concentration of hemoglobin, regardless of iron homeostasis.

In this study, the CRP concentration was negatively correlated with the concentration of serum retinol. And this relationship between VAD and infectious processes is clear in literature8 , 9. Pictures of frequent infections, especially those causing diarrhea and respiratory problems, may cause or worsen VAD in childhood, both by reducing dietary intake and the absorption of nutrients and by depleting body stores of this vitamin by increasing the catabolism and urinary excretion8,9. Besides, VAD is a risk factor for the development of infectious diseases, since it decreases the immune resistance to these conditions, thus creating a vicious cycle between VAD and infections among children9.

Similar results could be observed in other studies13 , 30 , 35. Pasricha et al.35 found a negative correlation between the serum concentration of retinol binding protein and CRP; Rohner et al.30 observed that children with inflammation (assessed by high concentrations of CRP and alpha-1-acid glycoprotein) demonstrated significant increase in the risk of VAD; and Hotz et al.36 found an inverse correlation between plasma retinol and CRP.

Some limitations in this study must be considered, such as the lack of data on the habitual intake of sources of vitamin A; the use of a sample of users in the health service, which does not allow the extrapolation of results for the general infant population of Goiânia; and, finally, the cross-sectional design of the study does not allow causality assumptions, so results must be interpreted carefully. In spite of that, it is important to mention that the results in this study reflect the situation of infants assisted in some UBSs of Goiânia, Goiás, and few months before the distribution of megadose of vitamin A. This information is important to monitor the effectiveness of the National Program of Vitamin A Supplementation in this city.


It is concluded that VAD among one-year-olds assisted in UBSs of Goiânia is a moderate public health issue. The serum retinol concentration was positively correlated with maternal schooling and the concentration of hemoglobin; on the one hand, it was possible to observe the negative correlation between CRP and serum retinol concentrations. Preventive and control actions addressed to VAD which have an influence on the social health determinants and on the prevention of other nutritional deficiencies in childhood are essential to reduce this deficiency in that population.


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3. LoboLMC.. Fatores relacionados aos níveis de retinol sérico em crianças de seis a 24 meses de creches municipais de Goiânia-Goiás dissertação Goiânia: Faculdade de Nutrição da Universidade Federal de Goiás; 2013 . [ Links ]

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Financial support: Research financed by the Ministry of Health, General Coordination of Food and Nutrition; administrative and financial management of the National Council for Scientific and Technological Development (CNPq), process n. 552747/2011-4). Masters scholarship of Lara Lívia Santos da Silva, from the Coordination for the Improvement of Higher Education Personnel (CAPES).

Members of the National Study Fortificação Caseira da Alimentação Complementar (ENFAC Working Group): Marly Augusto Cardoso, Rosângela Aparecida Augusto, Fernanda Cobayashi (Department of Nutrition, Universidade de São Paulo); Maria Claret C. M. Hadler, Maria do Rosário G. Peixoto (School of Nutrition, Universidade Federal de Goiás), Pedro Israel C. Lira, Leopoldina Augusta S. Sequeira (Department of Nutrition, Universidade Federal de Pernambuco), Pascoal Torres Muniz, Cristiéli Sérgio de Menezes Oliveira (Center of Health Sciences, Universidade Federal do Acre), Márcia Regina Vitolo, Daniela Cardoso Tietzmann (Universidade Federal de Ciências da Saúde de Porto Alegre), Márcia Maria Tavares Machado (Department of Preventive Medicine, Universidade Federal do Ceará), Patrícia Constante Jaime, Eduardo Augusto Fernandes Nilson, Gisele Ane Bortolini, Sara Araújo da Silva (General Coordination of Food and Nutrition, Ministry of Health in Brazil).

Received: April 17, 2014; Revised: August 20, 2014; Accepted: October 01, 2014

Corresponding author: Maria do Rosário Gondim Peixoto. Faculdade de Nutrição da Universidade Federal de Goiás. Rua 227, quadra 68, s/n, Setor Leste Universitário, CEP 74605-080, Goiânia, GO, Brasil. E-mail:

Conflict of interests: nothing to declare

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