Comparison between household food purchase and individual food consumption in Brazil

Carregando...
Imagem de Miniatura
Citações na Scopus
16
Tipo de produção
article
Data de publicação
2019
Título da Revista
ISSN da Revista
Título do Volume
Editora
CAMBRIDGE UNIV PRESS
Autores
OLIVEIRA, Dayan Carvalho Ramos Salles de
SOUZA, Amanda de Moura
SICHIERI, Rosely
VERLY-JR, Eliseu
Autor de Grupo de pesquisa
Citação
PUBLIC HEALTH NUTRITION, v.22, n.5, p.841-847, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
OBJECTIVE: The present study aimed to compare Household Budget Survey (HBS) data on food purchasing and individual food consumption, collected in the same nationwide survey. DESIGN: Food purchase information for each household was collected by a seven-day collective acquisition diary, applied to 55 970 households. Food consumption information was obtained from household members over 10 years old by the application of two non-consecutive food records in a sub-sample of the HBS. Cooking and correction factors were applied when necessary, and all food items reported were grouped into twelve main food groups. Food purchase and consumption data were presented as absolute weight (g/person per d) and as relative contribution to energy intake (%) for the overall study population, which was stratified according to household income. SETTING: Brazil.ParticipantsNational estimates of food consumption and purchase for Brazil. RESULTS: The greatest differences between purchase and consumption data (purchase minus consumption) were observed for meat (-168 g), beans/legumes (-48 g), roots/tubers (-36 g) and fruits (-31 g). When expressed in terms of energy contribution, the highest differences were found for cereals (13 %) and oils and fats (11 %). Differences between purchase and consumption data were generally lower in the highest compared with the lowest household income quintile; and were lower for most main food groups when considering only foods reported as being eaten at home. CONCLUSIONS: With few exceptions, food purchase expressed as relative energy contribution, as opposed to absolute weight, can provide a good picture of actual consumption in the Brazilian population
Palavras-chave
Household data, Dietary assessment, Food consumption, Food away from home, Surveys
Referências
  1. Antonic-Degac Katica, 2010, Acta Med Croatica, V64, P17
  2. Bermudez OI, 2012, FOOD NUTR BULL, V33, pS208, DOI 10.1177/15648265120333S209
  3. Bezerra Ilana Nogueira, 2013, Rev. Saúde Pública, V47, p200s, DOI 10.1590/S0034-89102013000700006
  4. Bezerra IN, 2013, BRIT J NUTR, V109, P1276, DOI 10.1017/S0007114512003169
  5. Blanco-Metzler A, 2017, NUTRIENTS, V9, DOI 10.3390/nu9091020
  6. Bognar A, 2002, TABLES WEIGHT YIELD
  7. Borlizzi A, 2017, FOOD POLICY, V72, P20, DOI 10.1016/j.foodpol.2017.08.009
  8. Claro RM, 2010, CAD SAUDE PUBLICA, V26, P2168, DOI 10.1590/S0102-311X2010001100018
  9. Louzada MLD, 2017, FOOD POLICY, V72, P112, DOI 10.1016/j.foodpol.2017.08.017
  10. Fiedler JL, 2012, FOOD NUTR BULL, V33, pS170, DOI 10.1177/15648265120333S205
  11. Gibson RS, 2005, PRINCIPLES NUTR ASSE, P129
  12. Valencia-Valero RG, 2014, SALUD PUBLICA MEXICO, V56, P154
  13. Instituto Brasileiro de Geografia e Estatistica, 1999, EST NAC DESP FAM END
  14. Instituto Brasileiro de Geografia e Estatistica, 2010, PESQ ORC FAM 2008 20
  15. Instituto Brasileiro de Geografia e Estatistica, 2011, PESQ ORC FAM 2008 20
  16. Kaara J, 2008, DERIVING FOOD SECURI, P69
  17. Levy RB, 2012, REV SAUDE PUBL, V46, P6, DOI 10.1590/s0034-89102011005000088
  18. Levy-Costa RB, 2005, REV SAUDE PUBL, V39, P530, DOI 10.1590/s0034-89102005000400003
  19. Lopes TS, 2016, EUR J CLIN NUTR, V70, P1259, DOI 10.1038/ejcn.2016.85
  20. Martirisova D, 2008, DERIVING FOOD SECURI, P59
  21. MONDINI L, 1994, REV SAUDE PUBL, V28, P433, DOI 10.1590/S0034-89101994000600007
  22. Monteiro CA, 2000, REV SAUDE PUBL, V34, P251, DOI 10.1590/S0034-89102000000300007
  23. Moubarac JC, 2014, CAN J DIET PRACT RES, V75, P15, DOI 10.3148/75.1.2014.15
  24. Murphy S, 2012, FOOD NUTR BULL, V33, pS235, DOI 10.1177/15648265120333S213
  25. Neufeld LM, 2012, ENCY HUMAN NUTR, P289
  26. Pereira C, 2008, DERIVING FOOD SECURI, P81
  27. Perez-Cueto FJA, 2006, BRIT J NUTR, V95, P555, DOI 10.1079/BJN20051661
  28. Pinheiro ABV, 2009, TABELA AVALIACAO CON, P117
  29. Prentice RL, 2011, AM J EPIDEMIOL, V174, P591, DOI 10.1093/aje/kwr140
  30. Santos DM, 2014, J NUTR HEALTH AGING, V18, P471, DOI 10.1007/s12603-014-0013-7
  31. Sekula W, 2005, PUBLIC HEALTH NUTR, V8, P430, DOI 10.1079/PHN2004695
  32. World Cancer Research Fund & American Institute for Cancer Research, 2007, DIET NUTR PHYS ACT C