Household food availability in Pelotas, Brazil: An approach to assess the obesogenic environment
Keywords:
Cross-sectional studies, Food, Socioeconomic factorsAbstract
Objective
To identify household food availability according to socioeconomic and demographic factors.
Methods
A cross-sectional, population-based study was carried out in the city of Pelotas, Southern Brazil to determine household food availability in the 30 days that preceded the interview. Availability was considered high when food was “always” or “usually” available at home. The independent variables were: age and education level of the household head, number of household members, presence of children or adolescents, National Wealth Score, and family income.
Results
Data were collected from 1,555 households. A high availability of fruits and vegetables (80%) was more prevalent than that of soft drinks, processed meats, and sweets (40%). Whole grains and frozen foods were never available in half of the households. High-sugar and high-fat foods were positively related and fruits and whole grains were negatively related to the presence of children or adolescents in the household. National Wealth Score, family income, and age and education level of the household head were associated with household food availability.
Conclusion
Socioeconomic factors and demographic characteristics were associated with household food availability. High household availability of fruits and vegetables, together with sweets, processed meats, and soft drinks suggests the complex eating practices of a household, impairing classifying the environment as obesogenic.
References
Popkin BM. Contemporary nutritional transition: Determinants of diet and its impact on body composition. Proc Nutr Soc. 2011; 70(1):82-91. doi: 10.1017/S0029665110003903
Wanderley EN, Ferreira VA. Obesidade: uma perspectiva plural. Cienc Saúde Colet. 2010; 15(1):185-94. doi: S1413-81232010000100024 [pii]
Monteiro CA, Levy RB, Claro RM, de Castro IR, Cannon G. Increasing consumption of ultra processed foods and likely impact on human health: Evidence from Brazil. Public Health Nutr. 2011; 14(1):5-13. doi: 10.1017/S1368980010003241 4. World Health Organization. Diet, nutrition an the prevention of chronic diseases. Geneva: WHO; 2003.
Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012; 70(1):3-21. doi: 10.1111/j.1753-4887.2011.00456.x
Swinburn B, Egger G, Raza F. Dissecting obesogenic environments: The development and application of a framework for identifying and prioritizing environmental interventions for obesity. Prev Med. 1999; 29(6 Pt 1):563-70. doi: 10.1006/pmed.1999. 0585S0091-7435(99)90585-6 [pii]
Spence JC, Cutumisu N, Edwards J, Raine KD, Smoyer-Tomic K. Relation between local food environments and obesity among adults. BMC Public Health. 2009; 9:192. doi: 10.1186/1471-24 58-9-192
MacFarlane A, Crawford D, Ball K, Savige G, Worsley A. Adolescent home food environments and socioeconomic position. Asia Pac J Clin Nutr. 2007; 16(4):748-56.
Instituto Brasileiro de Geografia e Estatística. Pes quisa de orçamentos familiares 2008-2009: avaliação nutricional da disponibilidade domiciliar de alimentos no Brasil. Rio de Janeiro: IBGE; 2010.
Olinto MT, Willett WC, Gigante DP, Victora CG. Sociodemographic and lifestyle characteristics in relation to dietary patterns among young Brazilian adults. Public Health Nutr. 2011; 14(1):150-9. doi: 10.1017/S136898001000162X
Bryant M, Stevens J. Measurement of food availability in the home. Nutr Rev. 2006; 64(2 Pt 1): 67-76.
van Ansem WJ, Schrijvers CT, Rodenburg G, van de Mheen D. Is there an association between the home food environment, the local food shopping environment and children’s fruit and vegetable intake? Results from the Dutch INPACT study. PublicHealth Nutr. 2013; 16(7):1206-14. doi: 10.1017/S13 68980012003461
Levy-Costa RB, Sichieri R, Pontes NS, Monteiro CA. Disponibilidade domiciliar de alimentos no Brasil: distribuição e evolução (1974-2003). Rev Saúde Pública. 2005; 39(4):530-40. doi: 10.1590/S0034- 89102005000400003
Campbell KJ, Abbott G, Spence AC, Crawford DA, McNaughton SA, Ball K. Home food availability mediates associations between mothers’ nutrition knowledge and child diet. Appetite. 2013; 71:1-6. doi: 10.1016/j.appet.2013.07.006
Larson N, Laska MN, Story M, Neumark-Sztainer D. Predictors of fruit and vegetable intake in young adulthood. J Acad Nutr Diet. 2012; 112(8):1216- 22. doi: 10.1016/j.jand.2012.03.035
University of Minnesota. Project EAT (Eating Among Teens). Minnesota: School of Public Health; 2008 [cited 2011 Aug 10]; Available from: .
Likert R. A technique for the measurement of attitudes. Arch Psychol. 1932; 140:1-55.
Barros AJ, Victora CG. Indicador econômico para o Brasil baseado no censo demográfico de 2000. Rev Saúde Pública. 2005; 39(4):523-9. doi: S0034-8 9102005000400002[pii]/S0034-8910200500 0400002
Jaime PC, Figueiredo IC, Moura EC, Malta DC. Fato res associados ao consumo de frutas e hortaliças no Brasil, 2006. Rev Saúde Pública. 2009; 43(Suppl 2):57-64. doi: S0034-89102009000900008 [pii]
Souza AM, Bezerra IN, Cunha DB, Sichieri R. Avaliação dos marcadores de consumo alimentar do VIGITEL (2007-2009). Rev Bras Epidemiol. 2011; 14(Suppl 1):44-52.
Hanson NI, Neumark-Sztainer D, Eisenberg ME, Story M, Wall M. Associations between parental report of the home food environment and adolescent intakes of fruits, vegetables and dairy foods. Public Health Nutr. 2005; 8(1):77-85.
Neumark-Sztainer D, Wall M, Perry C, Story M. Correlates of fruit and vegetable intake among adolescents: Findings from Project EAT. Prev Med. 2003; 37(3):198-208. doi: S0091743503001142 [pii]
Drewnowski A. Obesity and the food environment: Dietary energy density and diet costs. Am J Prev Med. 2004; 27(3 Suppl):154-62. doi: 10.1016/ j.amepre.2004.06.011
Rosenkranz RR, Dzewaltowski DA. Model of the home food environment pertaining to childhood obesity. Nutr Rev. 2008; 66(3):123-40. doi: 10.11 11/j.1753-4887.2008.00017.x
Vereecken C, Haerens L, De Bourdeaudhuij I, Maes L. The relationship between children’s home food environment and dietary patterns in childhood and adolescence. Public Health Nutr. 2010; 13(10A): 1729-35. doi: S1368980010002296 [pii]10.1017/ S1368980010002296
Flurry LA, Burns AC. Children’s influence in purchase decisions: A social power theory approach. J Bus Res. 2005; 58(5):593-601. doi: 10.1016/j.jbusres.2003.08.007
Martensen A, Grønholdt L. Children’s influence on family decision making. Innov Mark. 2008; 4(4):14-22.
Jaime PC, Duran AC, Sarti FM, Lock K. Investigating environmental determinants of diet, physical activity, and overweight among adults in São Paulo, Brazil. J Urban Health. 2011; 88(3):567-81. doi: 10.1007/s11524-010-9537-2
Claro RM, Monteiro CA. Renda familiar, preço de alimentos e aquisição de frutas e hortaliças no Brasil. Rev Saúde Pública. 2010; 44(6):1014-20. doi: S0034-89102010000600005 [pii]
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