Acessibilidade / Reportar erro

Household food availability in Brazil: distribution and trends (1974-2003)

Abstracts

OBJECTIVE: Data from household food budget surveys were examined in order to describe the regional and socio-economic distribution of household food availability in Brazil in 2002-2003 and trends from 1974 to 2003. METHODS: The study uses data from the "Pesquisa de Orçamento Familiar 2002-2003" budget survey conducted by the Brazilian Institute for Geography and Statistics (Instituto Brasileiro de Geografia e Estatística) from July 2002 to June 2003, including a national sample of 48,470 households. In each household, during seven consecutive days, all monetary and non-monetary expenses with food and beverages for family consumption were registered. Crude weights of purchased foods were transformed into calories and nutrients with the use of food composition tables. RESULTS: Adequate protein content and a high proportion of animal protein were found in all regions and income strata. These were the most important positive aspects identified in the household food availability in Brazil. On the other hand, all regions and socio-economic strata showed excess calories from sugar and little availability of fruits and vegetables. An excessive proportion of calories came from total and saturated fat in the more economically developed regions and in the urban milieu, as well as among higher-income families. Time-trends in metropolitan areas indicated a decline in the consumption of basic, traditional foods, such as rice and beans; notable increases (up to 400%) in the consumption of processed food items, such as cookies and soft drinks; maintenance of the excessive consumption of sugar; and a continuous increase in total fat and saturated fat content in the diet. CONCLUSIONS: Patterns and trends regarding household food availability in Brazil are consistent with the increasing participation of chronic non-communicable diseases in morbidity and mortality and with the continuous increase in the prevalence of obesity.

Household budget survey; Food consumption; Drinking; Diet; Metropolitan zones; Family income; Socio-economic factors


OBJETIVO: Descrever a distribuição da disponibilidade domiciliar de alimentos no Brasil em 2002-2003 e avaliar sua evolução nas áreas metropolitanas do País no período 1974-2003. MÉTODOS: A principal base de dados do estudo é a Pesquisa de Orçamento Familiar de 2002-2003 realizada pelo Instituto Brasileiro de Geografia e Estatística em 48.470 domicílios brasileiros. Em cada domicílio, num período de sete dias consecutivos, foram registradas todas as aquisições, monetárias ou não monetárias, de alimentos e bebidas para consumo familiar. As quantidades de alimentos adquiridas foram transformadas em calorias e macronutrientes, usando tabelas de composição alimentar. RESULTADOS: Características positivas do padrão alimentar, encontradas em todas as regiões e em todas as classes de rendimento, foram a adequação do teor protéico das dietas e o elevado aporte relativo de proteínas de alto valor biológico. Características negativas, também disseminadas no País, foram excesso de açúcar e presença insuficiente de frutas e hortaliças na dieta. Nas regiões economicamente mais desenvolvidas, no meio urbano e entre famílias com maior rendimento houve também excesso de gorduras em geral e de gorduras saturadas. A evolução nas áreas metropolitanas do País evidenciou declínio no consumo de alimentos básicos, como arroz e feijão, aumentos de até 400% no consumo de produtos industrializados, como biscoitos e refrigerantes, persistência do consumo excessivo de açúcar e insuficiente de frutas e hortaliças e aumento no teor da dieta em gorduras em geral e gorduras saturadas. CONCLUSÕES: Padrões e tendências da disponibilidade domiciliar de alimentos no Brasil são consistentes com a importância crescente de doenças crônicas não transmissíveis no perfil de morbi-mortalidade e com o aumento contínuo da prevalência da obesidade no País.

Pesquisa de orçamento familiar; Consumo de alimentos; Inquéritos nutricionais; Dieta; Zonas metropolitanas; Renda familiar; Fatores socioeconômicos


ORIGINAL ARTICLES

Household food availability in Brazil: distribution and trends (1974-2003)

Renata Bertazzi Levy-CostaI; Rosely SichieriII; Nézio dos Santos PontesIII; Carlos Augusto MonteiroIV

INúcleo de Investigação em Nutrição. Instituto de Saúde. Secretaria de Estado da Saúde de São Paulo. São Paulo, SP, Brasil

IIDepartamento de Epidemiologia. Instituto de Medicina Social. Universidade Estadual do Rio de Janeiro. Rio de Janeiro, RJ, Brasil

IIICoordenação de Índices de Preços. Pesquisa de Orçamentos Familiares. Instituto Brasileiro de Geografia e Estatística (IBGE). Rio de Janeiro, RJ, Brasil

IVDepartamento de Nutrição. Faculdade de Saúde Pública. Universidade de São Paulo. São Paulo, SP, Brasil

Correspondence Correspondence to Carlos Augusto Monteiro Departamento de Nutrição - FSP/USP Av. Dr. Arnaldo, 715 01246-904 São Paulo, SP, Brasil E-mail: carlosam@usp.br

ABSTRACT

OBJECTIVE: Data from household food budget surveys were examined in order to describe the regional and socio-economic distribution of household food availability in Brazil in 2002-2003 and trends from 1974 to 2003.

METHODS: The study uses data from the "Pesquisa de Orçamento Familiar 2002-2003" budget survey conducted by the Brazilian Institute for Geography and Statistics (Instituto Brasileiro de Geografia e Estatística) from July 2002 to June 2003, including a national sample of 48,470 households. In each household, during seven consecutive days, all monetary and non-monetary expenses with food and beverages for family consumption were registered. Crude weights of purchased foods were transformed into calories and nutrients with the use of food composition tables.

RESULTS: Adequate protein content and a high proportion of animal protein were found in all regions and income strata. These were the most important positive aspects identified in the household food availability in Brazil. On the other hand, all regions and socio-economic strata showed excess calories from sugar and little availability of fruits and vegetables. An excessive proportion of calories came from total and saturated fat in the more economically developed regions and in the urban milieu, as well as among higher-income families. Time-trends in metropolitan areas indicated a decline in the consumption of basic, traditional foods, such as rice and beans; notable increases (up to 400%) in the consumption of processed food items, such as cookies and soft drinks; maintenance of the excessive consumption of sugar; and a continuous increase in total fat and saturated fat content in the diet.

CONCLUSIONS: Patterns and trends regarding household food availability in Brazil are consistent with the increasing participation of chronic non-communicable diseases in morbidity and mortality and with the continuous increase in the prevalence of obesity.

Keywords: Household budget survey. Food consumption. Drinking. Diet. Metropolitan zones. Family income. Socio-economic factors.

Introduction

Inadequate diet and physical inactivity are of great importance to population health due to their strong association with a number of highly prevalent non-communicable chronic diseases such as obesity, type-2 diabetes, and coronary disease.23 On the other hand, an important share of nutritional deficiencies – noteworthy among which is iron-deficiency anemia – have the diet as their major etiological factor, both in Brazil and abroad. Since diet is a modifiable factor, it is necessary to develop policies aimed at the prevention of both nutritional deficiencies and non-communicable chronic diseases. Such modifications must be based on systems capable of monitoring food consumption indexes, preferably with basis on the flow of information already available. Household Budget Surveys (HBS) are a valuable source from which to derive food consumption indexes, and the use of such surveys has been increasing in developing countries.16,20

Brazil has conducted HBS in metropolitan areas with some regularity, and has evaluated, through these surveys, the time trends in food availability in the country.10,11 HBS do not allow for an evaluation of individual consumption; rather, they occupy an intermediate position between food balance sheets, which describe food availability nationwide, and surveys designed to evaluate individual consumption. Although the main aim of HBS is to estimate price rates, they constitute an important source of data on diets due to their use of standardized data collection methodologies and probabilistic samples, their periodicity, and their detailed measurement of socio-economic characteristics.8

The present study attempts to describe the regional and socio-economic distribution of household food availability in Brazil and to evaluate the evolution of this availability in the last three decades, based on the national database of the 2002/2003 Brazilian HBS5 and on databases for metropolitan areas from HBS conducted in the mid 1970's, 80's, and 90's.4

Methods

The 2002/2003 HBS was carried out between July 2002 and June 2003, with a sample of 48,470 households. The sampling procedure employed in this survey, which is similar to that adopted by the Brazilian Institute for Geography and Statistics (Instituto Brasileiro de Geografia e Estatística – IBGE) in previous household budget surveys, is described in detail elsewhere.5 Briefly, this was a two-stage cluster sampling strategy, with primary sampling units – corresponding to census tracts of the 2000 Demographic Census – stratified by geographic location and socioeconomic indicators. Secondary sampling units consisted of the private permanent households within each sector. Census sectors were selected through systematic sampling with probability proportional to the number of households in each sector; households were chosen by simple random selection without replacement from within the selected census sectors. The sectors drawn and the respective selected households were distributed throughout the 12 months of the survey, ensuring that data from all geographic and socio-economic strata were collected in each trimester. This sampling strategy was designed to be able to produce representative estimates for Brazil as a whole, for its great geographical Regions (North, Northeast, Southeast, South, and Center-West), and for all Federation Units. For Brazil and great Regions, the sample allows for representative estimates to be drawn for both urban and rural households.

The basic information analyzed by the HBS is the purchase of food and beverages for household consumption by the consumption unit (household) during a period of seven consecutive days, recorded daily by a member of the household or by the IBGE interviewer in a diary. This record includes a detailed description of the product, the amount purchased, and the measurement unit, in addition to the amount paid in Reais, place of purchase, and form of purchase (monetary/non-monetary). The 2002-2003 HBS registered approximately 820 thousand purchases of food and beverages for household consumption. In roughly 80% of purchases it was possible to determine directly the amount purchased in kilograms or liters of product; in the remaining cases, the amount was deduced based on the value paid and on the mean price of the product.

Indicators used include the mean total caloric value of household food availability (expressed as kcal per capita per day) and the relative participation in food availability of foods, food groups, and selected nutrients.

In order to transform crude amounts of food into calories and macronutrients, we first grouped similar products with little participation in the entire body of purchases (for instance, peas, lentils, and chickpeas were grouped as 'other legumes'), which yielded a short list of 214 food items. In the case of items composed of more than one type of food, we considered the nutritional composition of the food with greatest participation in the item. The transformation began by applying correction factors to the crude amounts of food so as to exclude inedible portions.3 Next, in order to arrive at the available amount of calories and macronutrients, three food composition tables were employed: the TACO table (Tabela Brasileira de Composição de Alimentos – Brazilian Table of Food Composition)14; the Guilherme Franco table,2 and the IBGE/ENDEF (IBGE/Estudo Nacional de Despesa Familiar – IBGE/National Household Expenditure Survey) table.3 The TACO table was used for all foods of animal origin with the exception of sausages and other processed meat products, for which the Guilherme Franco table was used. The IBGE/ENDEF table was used for all remaining foods. In addition, for specific fatty acid composition – lacking in the Guilherme Franco and IBGE/ENDEF tables – United States food composition tables were employed.19

In order to describe the relative participation of foods and food groups in the total food availability of the household, the 214 food items were regrouped into 48 items, classified into 15 groups: three groups of basic foods of vegetable origin, sources of energy and, in different proportions, also of protein, micronutrients, and fiber (cereals and derived products, beans and other legumes, and roots, tubercles, and derived products); three groups of foods of animal origin, simultaneous sources of energy, protein, fat (especially saturated fat), and micronutrients (meat and derived products, dairy products, and eggs); two groups of foods of vegetable origin, with low energy density and rich in micronutrients and fiber (fruit and natural juices and legumes and greens); four groups of essentially caloric foods (vegetable oils and fats, animal fats, sugar, and soft drinks and alcoholic beverages); and three additional groups of foods with less important participation in the food consumption of the Brazilian population (oleaginous seeds, condiments, and ready-made meals and industrialized mixes).

The relative contribution of each nutrient to food availability considered only the contribution of macronutrients – i.e., carbohydrates (subdivided into sugar [sucrose] and other carbohydrates), proteins (subdivided into animal or vegetable), and lipids (subdivided into monounsaturated, polyunsaturated, and saturated fatty acids). Regarding both foods and macronutrients, the relative participation in household food availability was expressed as the percentage of calories the food or macronutrient represented in the total calories available for consumption.

Estimates of the caloric value of household food availability and of the relative participation of different foods, food groups, and nutrients in that caloric value are presented according to household situation (urban/rural), the five great Regions, and income class. Income classes considered range from families with monthly incomes of up to one-quarter minimum wage per capita (the 5.8% households with lowest income) to families with monthly income above five minimum wages per capita (the 4.2% households with highest income).

Estimates for the country's metropolitan areas based on the 2002/2003 HBS were compared to estimates based on family budget surveys conducted by IBGE in 1974/75, 1986/87, and 1995/96. This group includes the metropolitan areas of Belém, Fortaleza, Salvador, Belo Horizonte, Rio de Janeiro, Sao Paulo, Curitiba, and Porto Alegre, the Federal District, and the municipality of Goiânia. Procedures identical to those the 2002/2003 HBS were employed in each of these surveys for generating food availability indicators.

All estimates considered the expansion factors used in the HBS as well as the complexity of sampling design.

The evaluation of the nutritional adequacy of household food availability was based on recent nutritional recommendations formulated by United Nations agencies.23

Results

Mean household food availability in Brazil was estimated at 1,800 kcal per person per day. Mean availability was of 1,700 kcal in urban areas and 2,400 kcal in rural areas (Table 1). It should be noted that it is impossible to evaluate the adequacy of this calorie availability, since we lack a direct evaluation of the food actually consumed by these families as well as of the amount of food consumed outside the household.

Table 1

The importance of cereals and derived products in the diet was similar in rural and urban areas, there being a greater participation of bread, cookies, and pasta in the urban milieu and of rice and flour in rural areas. There was a greater participation of fruit, vegetables and legumes, meat, and dairy products in the urban area, whereas greater participation of beans and other legumes and roots and tubercles was found in rural areas. The participation in the diet of ready-made meals and industrialized mixes was three times greater in urban areas (Table 1).

The five great Brazilian Regions show different household food availability profiles (Table 2). The participation of rice in the Center-West and of wheat meal in the South exceed in 1.5-2 times, and 4-10 times, respectively, those of the other regions in the country. Similar scenarios are found regarding beans and cookies in the Northeast, manioc flour in the North and Northeast, meat in the North and South, fish in the North, pork in the South, fruit and natural juices in the South and Southeast, oil in the Center-West, lard in the South, soft drinks, alcoholic beverages, condiments, and ready-made meals in the South and Southeast, and oleaginous seeds (Brazil-nuts) in the North. Examples of availability much below national average are dairy products and vegetables and legumes in the North and Northeast and eggs in the Southeast.

The effect of family income was substantial for most foods and food groups (Table 3). Food groups whose participation in the diet increased uniformly with income include meat, dairy products, fruit, vegetables and legumes, alcoholic beverages, condiments, and roots and tubercles. The participation of cereals and derived products in the diet was relatively constant up to the two minimum-wage per capita threshold, and gradually decreased as income increased past this point. Contrasting patterns with respect to income were found for rice, whose consumption decreases markedly as income rises, and for bread and cookies, whose consumption increases with income. Distinct patterns were also found in the sugar and soft-drinks group. There is slight increase in sugar consumption up to one minimum wage per capita and a steep decline afterwards, so that sugar consumption in the highest socioeconomic stratum was 50% lower than that of the lowest stratum. By contrast, there was a marked and continuous increase in soft-drink consumption with income, so that the participation of soft drinks in the diet among the higher-income class was fivefold that of the lowest-income class.

The relative participation of macronutrients in household food availability indicates that 59.6% of all calories consumed come from carbohydrates, 12.8% from proteins, and 27.6% from lipids, showing an adequacy of the diet to nutritional recommendations (55%-75% of total calories coming from carbohydrates, 10%-15% from proteins, and 15%-30% from lipids). The fact that over 50% of proteins were of animal origin (with greater biological value) and the low saturated fatty acid content (below the recommended limit of 10%) also provide evidence of the nutritional adequacy of mean national food availability. The only evidence of an imbalance is the excessive participation of sucrose in the total carbohydrate consumption (13.7%), which is above the 10% level set by nutritional recommendations (Table 4).

The relative participation of macronutrients in the diet indicates similarities in terms of protein content (12%-14% of total calories), but substantial differences regarding carbohydrate and lipid content between urban and rural households and different geographical regions and income classes (Table 4). This table also shows that the participation of lipids in the diet is close to, or even higher than 30% (the maximum recommended value) in urban areas and, generally speaking, in the South, Southeast, and Center-West Regions. Saturated fat content is very close to the upper limit (10%) in the South and Southeast (9.9% and 9.3% of total calories, respectively). Moreover, the sugar content in the diet greatly exceeds the 10% maximum in all regions.

Greater income is associated with a marked increase in fat content and an equally marked decrease in carbohydrate content. Regarding the latter, the 55% recommended minimum contribution to total calorie intake is not fulfilled for the class with monthly income above five minimum wages per capita, with the further problem that about one-fifth of the carbohydrates in the diet in this income class (11% in 52%) come from sugar. As to fats, the maximum limit of 30% of total calories is exceeded by the class with monthly income higher than two minimum wages per capita. Saturated fats tend to increase even more markedly with income than do other fats. The recommended maximum contribution of saturated fats to calorie intake (10%) is virtually reached by classes earning between two and five minimum wages per capita (9.7%) and clearly exceeded by families earning more than this (11.2% of total calories). The 10% maximum limit for calories from sugar is exceeded across all income classes. The most critical scenario corresponds to the intermediate income classes, where the participation of sugar reaches almost 15% (Table 4).

Important variations in indicators of household food availability were found in the country's metropolitan areas between 1972 and 2003, with respect to both the relative participation of foods and food groups and macronutrient content. Participation increased for meats in general (almost 50% increase), beef (+22%), poultry (+100%), processed meats (+300%), dairy products (+36%), vegetable oils and fats (+16%), cookies (+400%), and ready-made meals (+80%). Foods and food groups showing an inverse trend include rice (23% reduction), beans and other legumes (-30%), roots and tubercles (-30%), fish (-50%), eggs (-84%), and animal fat (-65%). Sugar and soft drinks show opposite trends during the period, the former decreasing by 23% and the latter increasing by 400%. The participation of fruit and vegetables and legumes in the diet remained relatively constant throughout the entire period (3%-4%), and, therefore, much below the 6%-7% of total calorie intake recommended for this food group (Table 5).

The evolution of macronutrient composition in the diet showed evidence of increase in fat content and reduction in carbohydrate content. Regarding carbohydrates, levels in the last survey are very close to the minimum level of 55% of total calorie intake, with the further problem that about one-fifth of the carbohydrates in the diet (12% in 56%) correspond to sugar. As to fats, the maximum limit of 30% of total calories is exceeded in the last survey. Saturated fats tend to increase markedly and continuously between surveys, and the maximum limit of 10% of total calories is virtually reached in the last survey (9.6%). The 10% maximum limit for sugar-derived calories is exceeded in all surveys, despite a slight decline in the two most recent studies. Even though protein content in the diet shows an increasing trend, the proportion of calories from protein was adequate in all four surveys (Table 6).

Discussion

Due to the exceptionally wide territorial coverage of the 2002/2003 HBS, we have been able to describe, for the first time in Brazil, the recent scenario and the regional and socioeconomic distribution of important indicators of pattern of food consumption in the population.

Positive characteristics of consumption patterns, found in all regions and across all income classes, included the adequacy of the protein content of diets and the high relative contribution of proteins of high biological value (of animal origin). Negative characteristics, also widespread in the country, were the excessive consumption of sugar and the insufficient presence of fruit and vegetables in the diet. In the economically more developed regions (South, Southeast, and Center-West) and, generally speaking, in the urban milieu and in higher income households, in addition to the excessive consumption of sugar, there was also excess consumption of total and saturated fat.

The evolution of food consumption patterns in Brazil in the last three decades, which we were able to study only in the country's metropolitan areas, indicates a decline in the consumption of traditional foods such as rice and beans. There were increases of up to 400% in the consumption of industrialized products such as cookies and soft drinks, a persistence of the excessive consumption of sugar and of the insufficient consumption of fruit and vegetables, and a systematic increase in total and saturated fat content. Taken together, these results indicate unfavorable trends in food consumption patterns, especially from the perspective of obesity, diabetes, cardiovascular disease, certain types of cancer, and other chronic diseases associated with diets with high energy density, lacking fibers and micronutrients, and with excessive total and saturated fat content.23 Previous studies of household food availability in metropolitan areas indicate that some of these trends began to take place already in the 1960's and '70's, and gained in intensity in the 1980's and '90's.10,11

When analyzing the purchase of products for family consumption, it is important to consider initially that these data are highly dependent on what is consumed outside the household.22 In the municipality of Rio de Janeiro, in 1996, approximately 50% of the lunchtime and afternoon meals eaten by adult males took place outside home and without using food purchased for the household.18 Although the 2002/2003 HBS investigated for the first time the expense associated with each food item consumed outside home and the type of establishment where the food was consumed, the type and amount of food consumed were not sufficiently specified. This is, without doubt, an important limitation of the estimates made in the present study. Another limitation, inherent to any household budget study, is the failure to consider the fraction of the food purchased that is not consumed by the members of the household.

It is also important to draw attention to the fact that the short reference period (one week) for the collection of food purchase data by families determines that the HBS estimates should be calculated based on clusters of families rather than on individual families. Moreover, the variation in the energy requirements of different populational strata was not considered, which prevents us from deducing, for instance, that the probability of caloric deficits in the country is greater in urban than in rural areas. In this case, it is actually more likely that the lesser food availability in the urban milieu reflects a greater consumption of food outside home and, possibly, also lower energy requirements than those found in the rural environment. Notwithstanding, food purchase data can provide useful information on household food consumption patterns, especially when the indicators used focus, as in the present study, on the relative participation of different foods and food groups rather than on absolute amounts. It is also important to note that household budget surveys reflect the beginning of the consumption chain, allowing for the establishment of public policies capable of modifying food supply and the purchase patterns of the population.

Despite its limitations, family purchases are related to individual consumption patterns, as shown by a study that modeled European family budget data in relation to individual consumption data, correcting for age, sex, and alterations due to losses and processing.13 In this study, the correlation between food purchase and actual consumption was greater than 0.80 for meat, dairy products, vegetables, and fruit. In another study, a comparison between purchase and actual consumption showed reasonable agreement for all food groups with the exception of pastries and alcoholic beverages.1

As to the time trends for the evaluated indicators, the data in the present study should be viewed as a conservative estimate of changes taken place in dietary patterns in Brazil during the last three decades. Since only the population of metropolitan areas was considered, not all changes related to the intense urbanization which occurred in the country during this period could be observed. Nonetheless, very clear and alarming changes were detected in relation to certain foods, with emphasis on the 400% increase in the consumption of cookies and soft drinks. The marked increase in soft-drink consumption is a concern, since there is evidence that the excessive consumption of these products is associated with greater consumption of calories and greater weight gain among adolescents.7,9 Moreover, there is evidence that calories present in liquid foods are less recognized by the organism than those present in solid foods.21 Cookies, on the other hand, are a major source of trans fatty acids in the diet, together with vegetable spreads and fried products, especially those sold in fast-food chains. Trans fatty acids assume a conformation similar to that of saturated fatty acids, and are considered as having a major hypercholesterolemic effect, increasing low-density lipoproteins and reducing high-density lipoproteins. Their consumption should therefore remain below 1% of total calorie consumption.23

Finally, we emphasize that the trends in the food consumption patterns of the Brazilian population revealed by the present study are consistent with the growing participation of non-communicable chronic diseases in the morbidity and mortality profile of the Brazilian population and, particularly, with the increases in the prevalence of overweight and obesity in this country, evident since the 1980's,12,17 and once again confirmed by the anthropometric data collected by the 2002/2003 HBS.6

REFERENCES

Received on 25/2/2005. Approved on 25/4/2005.

  • 1. Becker W. Comparability of household and individual food consumption data evidence from Sweden. Public Health Nutr 2001;4:1177-82.
  • 2. Franco G. Tabela de composição química dos alimentos. 9Ş ed. São Paulo: Atheneu; 1992.
  • 3. Instituto Brasileiro de Geografia e Estatística (IBGE). Tabela de composição de alimentos. 4Ş ed. Rio de Janeiro: IBGE. [Estudo Nacional da Despesa Familiar - ENDEF]; 1996.
  • 4
    Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa de Orçamentos Familiares 1987 e 1996. Rio de Janeiro: IBGE; 1999. Disponível em http://www.sidra.ibge.gov.br/bda/tabela/listabl.asp?c=419&z=p80=8 [1 out 2004]
  • 5
    Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa de orçamentos familiares, 2002-2003. Aquisição alimentar domiciliar per capita, Brasil e grandes regiões. Rio de Janeiro; 2004.
  • 6. Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa de Orçamentos Familiares 2002-2003: análise da disponibilidade domiciliar de alimentos e do estado nutricional no Brasil. Rio de Janeiro; 2004.
  • 7. James J, Thomas P, Cavan D, Kerr D. Preventing childhood obesity by reducing consumption of carbonated drinks: cluster randomised controlled trial. BMJ 2004;328:1237.
  • 8. Lagiou P, Trichopoulou A. The DAFNE initiative: the methodology for assessing dietary patterns across Europe using household budget survey data. Public Health Nutr 2001;4:1135-41.
  • 9. Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet 2001;357:505-8.
  • 10. Mondini L, Monteiro CA. Mudanças no padrão de alimentação na população urbana brasileira (1962-1988). Rev Saúde Pública 1994;28(6):433-9.
  • 11. Monteiro CA, Mondini L, Levy-Costa RB. Mudanças na composição e adequação nutricional da dieta familiar nas áreas metropolitanas do Brasil (1988-1996). Rev Saúde Pública 2000;34(3):251-8.
  • 12. Monteiro CA, Benicio MHD'A, Conde WL, Popkin BM. Shifting obesity trends in Brazil. Eur J Clin Nutrit 2000;54:342-6.
  • 13. Naska A, Paterakis S, Eeckman H, Remaut AM, Trygg K. Methodology for rendering household budget and individual nutrition surveys comparable, at the level of the dietary information collected. Public Health Nutr 2001;4:1153-8.
  • 14. Núcleo de Estudos e Pesquisas em Alimentação. Universidade Estadual de Campinas [NEPA/Unicamp]. Tabela Brasileira de Composição de Alimentos [TACO]: versão 1. São Paulo: NEPA/Unicamp; 2004.
  • 15
    Nutrition country profiles-Brazil, Rome: FAO; 2000. Disponível em http://www.fao.org/es/ESN/nutrition/bra-e.stm [1 nov 2004]
  • 16. Serra-Majem L, MacLean D, Ribas L, Brule D, Sekula W, Prattala R et al. Comparative analysis of nutrition data from national, household, and individual levels: results from a WHO-CINDI collaborative project in Canada, Finland, Poland, and Spain. J Epidemiol Commun Health 2003;57:74-80.
  • 17. Sichieri R, Coitinho DC, Leão MM, Recine E, Everhart JE. High temporal, geografic, and income variation in body mass index among adults in Brazil. Am J Public Health 1994;84(5):793-8.
  • 18. Sichieri, R. Epidemiologia da obesidade. Rio de Janeiro: UERJ; 1998. p. 140.
  • 19. Souci SW, Fachmann W, Draut H. Food composition and nutrition tables. 5th ed. Stuttgart: Medpharm Scientific; 1994.
  • 20. Trichopoulou A, Naska A, and the DAFNE III Group. European food availability databank based on household budget surveys. Eur J Public Health 2003;13(3 Suppl):24-8.
  • 21. Van Wymelbeke V, Beridot-Therond ME, de La Gueronniere V, Fantino M. Influence of repeated consumption of beverages containing sucrose or intense sweeteners on food intake. Eur J Clin Nutr 2004;58:154-61.
  • 22. Vasdekis VGS, Stylianou S, Naska A. Estimation of age and gender-specific food availability from household budget survey data. Public Health Nutr 2001;4:1149-51.
  • 23
    World Health Organization. Food and Agriculture Organization [WHO/FAO]. Diet, nutrition and the prevention of chronic diseases. Geneva; 2003. [WHO - Technical Report Series, 916]
  • Correspondence to

    Carlos Augusto Monteiro
    Departamento de Nutrição - FSP/USP
    Av. Dr. Arnaldo, 715
    01246-904 São Paulo, SP, Brasil
    E-mail:
  • Publication Dates

    • Publication in this collection
      10 Oct 2005
    • Date of issue
      Aug 2005

    History

    • Received
      25 Feb 2005
    • Accepted
      25 Apr 2005
    Faculdade de Saúde Pública da Universidade de São Paulo Avenida Dr. Arnaldo, 715, 01246-904 São Paulo SP Brazil, Tel./Fax: +55 11 3061-7985 - São Paulo - SP - Brazil
    E-mail: revsp@usp.br