Índice de alimentación saludable para gestantes: adaptación para uso en gestantes brasileñas
Cristiane MelereI; Juliana Feliciati HoffmannI; Maria Angélica Antunes NunesI; Michele DrehmerI; Caroline BussI; Silvia Giselle Ibarra OzcarizI; Rafael Marques SoaresI; Patricia Portantiolo ManzolliI; Bruce Bartholow DuncanI; Suzi Alves CameyII
IPrograma de Pós-Graduação em Epidemiologia. Departamento de Medicina Social. Faculdade de Medicina. Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brasil
IIInstituto de Matemática. Departamento de Estatística. Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brasil
OBJECTIVE: To evaluate dietary quality in a sample of pregnant women based on one simple and objective parameter.
METHODS: Pregnant women (n = 712), between 16 and 36 weeks, attending primary care clinics in Porto Alegre and Bento Gonçalves, Southern Brazil, in 2010 were recruited to take part. The Healthy Eating Index for Brazilian Pregnancy (HEIP-B) was created, derived from the American instrument called Alternate Healthy Eating Index for Pregnancy (AHEI-P). Questionnaires on frequency of consumption and on socio-demographic factors were completed. Focused principal component analysis (ACPF) was used to assess the relationship between the index and nutrients relevant to pregnancy.
RESULTS: The median (interquartile range) of AHEI-P and HEIP-B were 66.6 (57.8-72.4) and 67.4 (60.0-73.4), respectively. The HEIP-B showed a good positive correlation with nutrients which are specifically recommended for pregnancy: folate (r = 0.8; p < 0.001), calcium (r = 0.6; p < 0.001) and iron (r = 0.7; p < 0.001).
CONCLUSIONS: The quality of the diet of the pregnant women in this study was classified as within the "improvements needed" cut off point, which demonstrates the need for more specific education on nutrition for this stage of life. The index showed good correlations and, thus, may be considered an effective tool for assessing the quality of nutrition during pregnancy.
Descriptors: Pregnant Women. Prenatal Nutrition. Nutrition Assessment. Diet Surveys, utilization. Food Habits. Food and Nutrition Education.
OBJETIVO: Evaluar la calidad global de la dieta en una muestra de gestantes, a partir de um parámetro único, simple y objetivo.
MÉTODOS: Gestantes entre 16ª y 36ª semana de gestación (n=712) fueron inventariadas en unidades básicas de salud en Porto Alegre y Bento Gonçalves, RS, Brasil, en 2010. Con base en el índice americano Alternate Healthy Eating Index for Pregnancy (AHEI-P) se creó en índice de Alimentación Saludable para Gestantes (HEIP-B). Se aplicaron el cuestionario de frecuencia alimentaria y el cuestionario sociodemográfico. Se utilizó el análisis de componentes principales para evaluar la relación entre los índices y los nutrientes relevantes para la gestación.
RESULTADOS: La mediana y el intervalo intercuartil de los índices AHEI-P y HEIP-B fueron 66,6 (57,8-72,4) y 67,4 (60,0-73,4), respectivamente. El HEIP-B mostró buena correlación positiva con los nutrientes que tienen recomendación específica en el período gestacional folato (r = 0,8; p < 0,001), calcio (r = 0,6; p < 0,001) e hierro (r = 0,7; p < 0,001).
CONCLUSIONES: La calidad de la dieta de las gestantes del presente estudio fue clasificada dentro del punto de corte "precisando de mejorías", lo que muestra la necesidad de trabajar más específicamente con educación alimentaria en ese ciclo de la vida. El índice aplicado mostró buenas correlaciones y, por tanto, puede ser considerado un buen instrumento de evaluación de la calidad de la alimentación durante la gestación.
Descriptores: Gestantes. Nutrición Prenatal. Pesquisas sobre Dietas, utilización. Evaluación Nutricional. Hábitos Alimentares. Educación Alimentaria y Nutricional.
Pregnancy is a period during which nutritional necessities increase, and appropriate nutrition is essential to the health of mother and baby. Pregnant women should consume specific varieties and quantities of foods, bearing in mind dietary guidelines and cultural eating habits, in order to meet energy and nutrition needs and to follow weight gain recommendations.ª
From a public health perspective, previous diagnosis and assessment of subsequent food intake in order to determine the prevalence of appropriate consumption is as important as correct guidance. The study of dietary intake is a complex process, as nutrition involves biological, socio-economic, cultural and symbolic dimensions.2
One way of assessing nutrition patterns is through a priori methods, using existing nutritional knowledge. For example, indexes which evaluate individuals' consumption compared to what is recommended are created using specific dietary guidelines.9,11
One such index, called the Healthy Eating Index (HEI) was produced by the US Department of Agriculture in order to assess the quality of the Americans' diet. It includes ten components: five refer to food groups from the American Dietary Guide ("Grains", "Vegetables", "Fruit", "Dairy" and "Meat"), four to nutrients ("total fat", "saturated fat", "cholesterol" and "sodium"), and one that measures variety in the diet. Each component scores between 0 and 10.10
There are few studies on specific dietary standards in pregnancy, especially with dietary indexes. Rifas-Shiman et al,25 used the Alternate Healthy Eating Index (AHEI) to create a healthy eating index adapted for pregnancy: Alternate Healthy Eating Index for Pregnancy (AHEI-P). This index, created to assess diet quality, has nine components, each of which is worth ten points: vegetables; fruit; two ratios ("white meat/red meat" and "polyunsaturated/saturated"); fiber; trans fats; folate, calcium and iron.25
A national study carried out by Maedab applied the Healthy Eating Index adapted for pregnancy. In spite of the name used, this index is not adapted from a pregnancy specific instrument but rather from the HEI10 developed to evaluate the American population's diet.
The present study aimed to assess the overall diet quality in a sample of pregnant Brazilian women based on one simple, objective parameter.
Between 2006 and 2008 the Study of Dietary Consumption and Behavior During Pregnancy20 - (ECCAGe) was carried out. This was a prospective cohort study of pregnant women composed of four stages: I - Validating the Food Frequency Questionnaire (FFQ) for pregnancy; II - Interviews with the pregnant women; III - Immediate post-partum interviews; IV - Interviews five to six months after birth.
This article refers to data collected in stage II of ECCAGe, in which 785 pregnant women, aged 13-42, were selected consecutively in the waiting room of prenatal appointments in the cities of Bento Gonçalves (eight Primary Care Units and one Maternal-Infant Referral Center) and Porto Alegre (seven PCU belonging to the School Health Center Murialdo and three belonging to the Municipal Health Department). Of the pregnant women selected, 59 refused to participate (7.5%) and there were nine losses to follow up (1.2%), making a total of 712 pregnant women in the final sample.
Women completed a sociodemographic questionnaire. Clinical data and data referring to the women's height and weight (barefoot and lightly clothed) were collected according to the Ministry of Health.c
The semi-qualitative Food Frequency Questionnaire (FFQ), previously validated for pregnant women,6 was used to collect data on diet during pregnancy. Coefficients of correlation, adjusted for energy ranging from 0.10 (vitamin E) to 0.50 (vitamin C), were presented in the validation of this tool. The FFQ has eight options for frequency of consumption, which range from "more than three times a day" to "never or almost never". The list of foods was composed of 88 items. In order to assess the quantity consumed, these food items were presented in standardized portions either in serving sizes or units of the food. The interviewee reported her usual consumption in multiples of these portions.
In order to determine the quantity of the product in a standard portion in grams (g) or milliliters (ml), i.e., the portion corresponding to the serving size pre-established in the FFQ, the Table for Assessing Food Consumption in Portion Sizes was used.24 Foods which were not included in this table were weighed or measured in order establish a standard value in grams (g) or milligrams (mg) or micrograms (mcg).
The frequency with which these foods were consumed were converted into daily equivalents whose assigned values were: "more than three times/day" = 3; "two to three times/day" = 2; "once/day" = 1, "five to six times/week" = 0.79 (=[(5+6)/2]/7); "two to four times/week" = 0.43 (=[(2+4)/2]/7); "once/week" = 0.14 (= 1/7); "once or twice/month" 0.07(=[(1+3)/2]/30); "never/almost never" = 0.
For each food item, the value of micronutrients and fiber was calculated in g, mg or micrograms (mcg). For macronutrients, the value was calculated in g and the percentage of the recommended Daily Allowance (%RDA).
The Brazilian Table of Food Composition (TACO)d was used as the reference to obtain the foods' nutritional composition. A second table, the Table of Food Composition: support for dietary decisions,22 was consulted when any of the food items shown in the FFQ or nutrients being investigated were not included in the TACO.d A third option was to consult the food's label.
Some items in the FFQ had more than one subtype in the composition tables, such as the banana which, in Pinheiro's table,24 had five different types listed. The mean of these subtypes was calculated in such cases in order to obtain a value in g or ml which took into account the variability of the food in question.e Estimates for the consumption of each nutrient were consolidated based on the calculation: Total of the nutrient of a food = nº portions x frequency of consumption/day x nutrient in the portion.e
The food items were separated into groups according to their category in the dietary guide for the Brazilian population.f The number of portions consumed of each food was calculated according to weight in grams or volume of the foods present in the groups of the Brazilian guide.f
The mean of the subtypes of a specific food was used to find the most representative value for the food in question. For example, for the food item "cake". There were four subtypes in the Brazilian guide:f banana cake, carrot cake, chocolate cake and coconut cake.
Number of portions was obtained by adding the number of portions of all foods in that group.
A syntaxg for constructing the variables necessary for calculating the indexes of health eating was created in the SPSS v.16 program.
The Brazilian dietary guide establishes portions based on a diet of 2000 kcal.f Adapting the number of recommended portions for each group included in the indexes to the need of pregnant women was based on assuming an increase of 300kcal/day during pregnancy.12 (Table 1). To that end, we used a simple rule of three.
The AHEI-P25 was based on the AHEI, excluding "alcohol", as it is not recommended for pregnant women, and "nuts and soya protein", due to allergic reactions (tofu and soya were included in the "vegetable" component). Three components were added to reflect the intake of nutrients which are particularly important during pregnancy: folate, iron and calcium.25
The AHEI-P includes nine components: two food groups ("vegetables" and "fruit"), two ratios ("white meat/red meat" and "polyunsaturated/saturated") and five nutrients ("fiber", "trans fats", "calcium", "folate" and "iron"). Each of these components has a score varying between 0 and 10 (Table 1).25
The Brazilian population dietary guidef was used in the creation of the HEIP-B in order to establish the recommended number of portions for each food group. The DRI13-15were used to establish recommendations for nutrients. Minimum and maximum portions determined by the Brazilian guidef were adapted to the additional calorie needs of pregnant women, as mentioned above. In addition, another component, present in the Brazilian guide, was included: "beans and other protein-rich vegetables". The AHEI-P ratios for "white meat/red meat" and "polyunsaturated/saturated" were used, as there were no Brazilian references which documented limits.
The only item for which this formula could not be used was trans fats, as the higher the consumption of foods which contained them, the worse the score. Therefore, the formula used was:
In both cases, = Quantity of the component ingested x.
Min = criteria for minimum score
Max = criteria for maximum score
To demonstrate the application of equation 1, let us assume a pregnant woman consumes three portions of vegetables; her AHEI-P score for this component would be 10*(3-0)/(5-0)=6 and the HEIP-B score would be 10*(3-0)/(3.5-0)=8.6.
For the HEIP-B, the total sum of components was divided by 10 and multiplied by 9, to enable comparison with the AHEI-P.
AHEI-P and HEIP-B were categorized similarly to Basiotis et al,1 with the aim of visualizing distribution patterns in pregnant women's diets. The cut off points to classify the quality of the diet established by these authors may be interpreted as follows: out of a total score of 100 points, a score which classifies a diet as "good quality" (total score > 80) indicates that at least 80% of the dietary necessities included in the index are being achieved. Similarly, for a total score of 90 points the following cut off points were established: Poor Quality (< 45 points), Needs Improvement (45 to 72 points) and High quality (72 points).1
Socio-demographic and anthropometric data were described as means, standard deviations or absolute and relative frequencies. Quartiles and percentages for those pregnant women who scored maximum and minimum scores were used to describe the two dietary indexes.
Spearman's correlation coefficient was used to measure the linear association between the indexes and nutrients investigated, due to the asymmetry of the data. Focused principal component analysis (FPCA) was used with Spearman's correlation5 in order to obtain graphic representations of each of the indexes with some of the nutrients. This technique enables the description and understanding of the relationships between differing variables, particularly response variables, in the case of this study, the two indexes. The results are shown graphically and the variable of interest is in the center. Circles with a smaller radius indicate closer correlation. The 2nd circle from the outside defines correlation coefficients statistically significant at the 5% level.3 This analysis was carried out using the R program (R Development Core Team, 2008) using the psy library.5 The other analyses were carried out with SPSS v.16.
The research, based on stage II of the ECCAGe, was approved by the Ethical Research Committee of the Universidade Federal do Rio Grande do Sul, of the School Health Center Murialdo and of the Municipal Health Department of Porto Alegre and Bento Gonçalves (Protocol nº 2006561/2006). The interviews were carried out in a designated area, after a consent form had been signed.
The 712 pregnant women had a mean age of 24.6 years old (SD = 6.4) and a mean of 7.6 years of schooling (SD = 2.7). The majority of the women (78.5%) were married or living with their partner and the mean household income was 1.1 minimum wages (SD = 0.7). The mean gestational age was 24.5 weeks (SD = 5.8)
The median, the 1st and 3rd quartiles and the percentage of the pregnant women who scored maximum and minimum scores in the indexes and their components are shown in Table 2.
The medians and interquartile intervals (with the exception of "calcium"), and the values of total scores were similar when AHEI-P and HEIP-B were compared. The median for the "calcium" component differed only for pregnant women aged 19 and over (9.1 for AHEI-P and 10 for HEIP-B). The absence of differences between medians in the other components occurred due to the majority of maximum and minimum values attributed being the same.
Based on the final scores of the indexes, a dietary classification was performed which varied according to the dietary index: for AHEI-P and HEIP-B, 65.4% (n = 465) and 62.6% (n = 446) respectively, were in the Needs Improvement category.
HEIP-B showed significant correlation with the nutrients under investigation: lower for vitamin B12 (r = 0.26, < 0.001) and higher for folate and potassium (r = 0.78, < 0.001). HEIP-B showed the following correlations for nutrients specifically recommended for pregnancy: folate (r = 0.78; p < 0.001), calcium (r = 0.63; p < 0.001) and iron (r = 0.68; p < 0.001).
Nutrients relevant to pregnancy (Figure) showed similar patterns in AHEI-P (left) and HEIP-B (right), with positive correlations above 0.4, except for vitamin B12. There was weak correlation of two nutrients in HEIP-B, but which had high correlation between themselves (vitamins A and B12). A strong correlation was observed between two nutrients (folate and fiber) and the index, close to the line closest to the center (r = 0.8). All of the correlations were significant, once the variables were located within the circle derived by the line between correlations 0 and 0.2 (Figure).
HEIP-B showed good correlations with the nutrients being investigated during pregnancy and 62.6% of the pregnant women presented diets that "needs improvement".
National studies using dietary indexes to assess dietary quality have found that the majority of the population studied "need to improve" their diet,19,b although cut off points for this classification vary between studies.
One of the reasons for adapting the AHEI-P to the national dietary guidef is that there are differences, in terms of portions of the food groups, between the American and the Brazilian guide. Moreover, the "beans and other protein-rich vegetables" group was included in the "vegetable" group in the American guide, whereas the Brazilian guidef contained specific recommendations. In a national study, Mota et al adapted the Health Eating Index to the Brazilian population and included the group of legumes in the same way. 19
Including the "beans" group, a typically Brazilian food, and adopting the portions of the Brazilian guide to the extra 300 kcals needed for pregnancy may have increased the final HEIP-B score.
The number of portions recommended for each group was rounded up to facilitate clinical practice. There was difficulty with the "beans" group, since the number of portions obtained (1.2 portions) made it difficult to apply it in practice, limiting the recommendation to the public.
There are no nutritional and weight gain recommendations specific to Brazilian pregnant women. National authors27 working with pregnant women use, for example, the Institute of Medicine16 recommendations to estimate weight gain during pregnancy and to quantify the needed nutrients.
In this study, the FPCA technique was chosen to assess correlation between nutrients investigated during pregnancy and the dietary indexes because it has the advantage of showing correlations graphically and simultaneously. Based on this, we can state that these nutrients basically belong to one single cluster, i.e. the variability of each nutrient is captured in a similar way by the AHEI-P and the HEIP-B. Moreover, the HEIP-B showed moderate correlations (r > 0.4) with all nutrients, except vitamin B12. The reason this vitamin does not show a good correlation with the index is that few pregnant women consume less than the recommended quantity. Therefore, irrespective of the HEIP-B score, consumption of this vitamin was high.
In a Canadian study carried out by Pick et al,23 the quality of pregnant women's diet was assessed using a dietary index. The authors examined intake of nutrients of interest during pregnancy in the women who had what was considered a "good" index (HEI > 80), and observed that 4% reached the recommended level of folate and none consumed the recommended amount of iron. The authors concluded that the index was useful for analyzing whether dietary guidelines are followed, but that it did not capture the uniqueness of the pregnant women's diet. The index proposed in the study by Pick et al23 did not include any pregnancy-specific nutrient.
A limitation of these indexes is that that maximum score for each food group is based only on the minimum number of portions to be consumed, i.e., there is no "penalty" for excessive consumption. One of the reasons for not including penalization of high consumption in the HEIP-B is that there is no consensus on limits for the number of recommended portions in each food groups. However, as excessive weight gain during pregnancy may affect the health of mother and baby, 16,21 further discussion in order to establish maximum limits is necessary.
Recommended intakes adapted to the energy needs of each individual were not used in constructing the HEIP-B, which may be another limitation. Instead we opted for a single recommendation, as in the Brazilian guide.f However, calculating recommendations based on energy density may have led to more precise results.
In a revision of dietary indexes, Waijers et al28 indicated the limitations of using such tools to assess dietary quality: they reported that the indexes may not deal adequately with correlation in intake of various dietary factors and with the existence of interactions between nutrients.28 Other authors describe how, although limitations exist, the indexes manage to assess overall diet, characterizing dietary patterns, in contrast to the analysis of nutrients in isolation.4,7,17,18
Another limitation of the study was using the FFQ as an assessment method of dietary consumption, as it contains a limited number of foods in comparison with dietary history.28 Moreover, as it is a semi-quantitative questionnaire, the FFQ used may have contributed to overestimating the quantities of each of the investigated food items consumed.6 The validation of the FFQ used was for nutrients and not food groups, which may have had some influence in the construction of the dietary index. However, some authors have used the FFQ to calculate this type of index.8,26
In spite of these limitations, dietary indexes are instruments of recognized usefulness in assessing dietary quality, especially in the primary health care field. These instruments should be adapted to national guidelines and to the population under study, so that cultural realities are considered. When comparing these indexes, dietary quality was found to be better when assessed by the HEIP-B.
In this study, the dietary quality of the majority of pregnant women was classified as within the "needs improvement" cut off point, demonstrating the need to work more specifically in the dietary education of this group.
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