Association of neighbourhood food availability with the consumption of processed and ultra-processed food products by children in a city of Brazil: A multilevel analysis

Public Health Nutrition

Volumn 21, Issue 1, 2018, Pages 189-200

  Leite, Fernanda Helena Marrocos ^a   De Carvalho Cremm, Elena ^a   De Abreu, Débora Silva Costa ^a   Oliveira, Maria Aparecida De ^a   Budd, Nadine ^b   Martins, Paula Andrea ^a  

^a FEDERAL UNIVERSITY OF SÃO PAULO   (Brazil)

^b NATIONAL CENTER FOR CHRONIC DISEASE PREVENTION AND HEALTH PROMOTION   (United States)

Author keywords

Children; Food consumption; Food environment; Neighbourhood; Ultra processed food products

Indexed keywords

BODY MASS; BRAZIL; CATERING SERVICE; CHILD; CROSS-SECTIONAL STUDY; DEMOGRAPHY; DIET; FAST FOOD; FEMALE; FOOD HANDLING; HUMAN; MALE; MULTILEVEL ANALYSIS; NUTRITIONAL STATUS; RECALL; SOCIOECONOMICS;

BODY MASS INDEX; BRAZIL; CHILD; CROSS-SECTIONAL STUDIES; DIET; FAST FOODS; FEMALE; FOOD HANDLING; FOOD SUPPLY; HUMANS; MALE; MENTAL RECALL; MULTILEVEL ANALYSIS; NUTRITIONAL STATUS; RESIDENCE CHARACTERISTICS; SOCIOECONOMIC FACTORS;

EID: 85009816421     PISSN: 13689800     EISSN: 14752727     Source Type: Journal    
DOI: 10.1017/S136898001600361X     Document Type: Article

References (94)

1. Ng M, Fleming T, Robinson M et al. (2014) Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 384, 766-781.
2. Instituto Brasileiro de Geografia e Estatística (2010) Pesquisa de Orçamentos Familiares 2008-2009-Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008-2009-encaa/pof-20082009-encaa.pdf (acessed October 2014).
3. World Health Organization (2012) Prioritizing Areas for Action in the Field of Population-Based Prevention of Childhood Obesity: A Set of Tools for Member States to Determine and Identify Priority Areas for Action. Geneva: WHO.
4. Penney TL, Almiron-Roig E, Shearer C et al. (2014) Modifying the food environment for childhood obesity prevention: challenges and opportunities. Proc Nutr Soc 73, 226-236.
5. Koplan JP & Dietz WH (1999) Caloric imbalance and public health policy. JAMA 282, 1579-1581.
6. Koplan JP, Liverman CT & Kraak VI (2005) Preventing childhood obesity: health in the balance. J Am Diet Assoc 105, 131-138.
7. World Health Organization (2004) Global Strategy on Diet, Physical Activity and Health. Geneva: WHO.
8. Velasquez-Melendez G, Mendes LL & Padez CM (2013) Built environment and social environment: associations with overweight and obesity in a sample of Brazilian adults. Cad Saude Publica 29, 1988-1996.
9. Gamba RJ, Schuchter J, Rutt C et al. (2015) Measuring the food environment and its effects on obesity in the United States: a systematic review of methods and results. J Community Health 40, 464-475.
10. Gilliland JA, Rangel CY, Healy MA et al. (2012) Linking childhood obesity to the built environment: a multi-level analysis of home and school neighbourhood factors associated with body mass index. Can J Public Health 103, 9 Suppl. 3, eS15-eS21.
11. de Carvalho Cremm EC, Marrocos Leite FH, de Abreu DSC et al. (2012) Factors associated with overweight in children living in the neighbourhoods of an urban area of Brazil. Public Health Nutr 15, 1056-1064.
12. Glanz K, Sallis JF, Saelens BE et al. (2005) Healthy nutrition environments: concepts and measures. Am J Health Promot 19, 330-333.
13. Glanz K, Sallis JF, Saelens BE et al. (2007) Nutrition Environment Measures Survey in stores (NEMS-S): development and evaluation. Am J Prev Med 32, 282-289.
14. Story M, Kaphingst KM, Robinson-O'Brien R et al. (2008) Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health 29, 253-272.
15. Richard L, Gauvin L & Raine K (2011) Ecological models revisited: their uses and evolution in health promotion over two decades. Annu Rev Public Health 32, 307-326.
16. Huang TT, Drewnosksi A, Kumanyika S et al. (2009) A systems-oriented multilevel framework for addressing obesity in the 21st century. Prev Chronic Dis 6, A82.
17. Naylor PJ, Bridgewater L, Purcell M et al. (2010) Publically funded recreation facilities: obesogenic environments for children and families? Int J Environ Res Public Health 7, 2208-2221.
18. Horsley JA, Absalom KA, Akiens EM et al. (2014) The proportion of unhealthy foodstuffs children are exposed to at the checkout of convenience supermarkets. Public Health Nutr 17, 2453-2458.
19. Poti JM, Slining MM & Popkin BM (2014) Where are kids getting their empty calories? Stores, schools, and fast-food restaurants each played an important role in empty calorie intake among US children during 2009-2010. J Acad Nutr Diet 114, 908-917.
20. Leite FHM, Oliveira MA, Cremm EC et al. (2012) Availability of processed foods in the perimeter of public schools in urban areas. J Pediatr (Rio J) 88, 328-334.
21. Monteiro CA, Moubarac JC, Cannon G et al. (2013) Ultra-processed products are becoming dominant in the global food system. Obes Rev 14, 21-28.
22. Stuckler D, McKee M, Ebrahim S et al. (2012) Manufacturing epidemics: the role of global producers in increased consumption of unhealthy commodities including processed foods, alcohol, and tobacco. PLoS Med 9, e1001235.
23. Moubarac JC, Claro RM, Baraldi LG et al. (2013) International differences in cost and consumption of readyto-consume food and drink products: United Kingdom and Brazil, 2008-2009. Glob Public Health 8, 845-856.
24. Moubarac JC, Martins AP, Claro RM et al. (2013) Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada. Public Health Nutr 16, 2240-2248.
25. Martins AP, Levy RB, Claro RM et al. (2013) Increased contribution of ultra-processed food products in the Brazilian diet (1987-2009). Rev Saude Publica 47, 656-665.
26. Monteiro CA, Levy RB, Claro RM et al. (2011) Increasing consumption of ultra-processed foods and likely impact on human health: evidence from Brazil. Public Health Nutr 14, 5-13.
27. Ifland JR, Preuss HG, Marcus MT et al. (2009) Refined food addiction: a classic substance use disorder. Med Hypotheses 72, 518-526.
28. Rauber F, Campagnolo PD, Hoffman DJ et al. (2015) Consumption of ultra-processed food products and its effects on children's lipid profiles: a longitudinal study. Nutr Metab Cardiovasc Dis 25, 116-122.
29. Tavares LF, Fonseca SC, Garcia Rosa ML et al. (2012) Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program. Public Health Nutr 15, 82-87.
30. Canella DS, Levy RB, Martins AP et al. (2014) Ultra-processed food products and obesity in Brazilian households (2008-2009). PLoS One 9, e92752.
31. Moreira PV, Baraldi LG, Moubarac JC et al. (2015) Comparing different policy scenarios to reduce the consumption of ultra-processed foods in UK: impact on cardiovascular disease mortality using a modelling approach. PLoS One 10, e0118353.
32. Pan American Health Organization (2015) Ultra-Processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications. Washington, DC: PAHO.
33. Jennings A, Welch A, Jones AP et al. (2011) Local food outlets, weight status, and dietary intake: associations in children aged 9-10 years. Am J Prev Med 40, 405-410.
34. Rahman T, Cushing RA & Jackson RJ (2011) Contributions of built environment to childhood obesity. Mt Sinai J Med 78, 49-57.
35. Pabayo R, Spence JC, Cutumisu N et al. (2012) Sociodemographic, behavioural and environmental correlates of sweetened beverage consumption among preschool children. Public Health Nutr 15, 1338-1346.
36. Li Y, Robinson LE, Carter WM et al. (2014) Childhood obesity and community food environments in Alabama's Black Belt region. Child Care Health Dev 41, 668-676.
37. Oreskovic NM, Kuhlthau KA, Romm D et al. (2009) Built environment and weight disparities among children in highand low-income towns. Acad Pediatr 9, 315-321.
38. Instituto Brasileiro de Geografia e Estatística (2010) Pesquisa de orçamentos familiares 2008-2009. Despesas, rendimentos e condições de vida. http://www.ibge.gov.br/home/estatistica/populacao/condicaodevida/pof/2008-2009/POFpublicacao.pdf (accessed October 2014).
39. Fidelis CMF & Osório MM (2007) Consumo alimentar de macro e micronutrientes de crianças menores de cinco anos no Estado de Pernambuco, Brasil. Rev Bras Saude Mater Infant 7, 63-74.
40. Bernardi JR, Cezaro CD, Fisberg RM et al. (2010) Estimation of energy and macronutrient intake at home and in the kindergarten programs in preschool children. J Pediatr (Rio J) 86, 59-64.
41. Dodd KW, Guenther PM, Freedman LS et al. (2006) Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc 106, 1640-1650.
42. Slater B, Marchioni DL & Fisberg RM (2004) Estimating prevalence of inadequate nutrient intake. Rev Saude Publica 38, 599-605.
43. Conway JM, Ingwersen LA, Vinyard BT et al. (2003) Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr 77, 1171-1178.
44. Conway JM, Ingwersen LA & Moshfegh AJ (2004) Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc 104, 595-603.
45. Lopes RPS & Botelho RBA (2008) Álbum Fotográfico de Porções Alimentares. São Paulo: Metha.
46. Fisberg RM & Slater B (2002) Manual de Receitas e Medidas Caseiras para Cálculo de Inquéritos Alimentares: Manual Elaborado para Auxiliar o Processamento de Dados de Inquéritos Alimentares. São Paulo: Signus.
47. Pinheiro AVB (2004) Tabela para Avaliação de Consumo Alimentar em Medidas Caseiras, 5th ed. Rio de Janeiro: Atheneu.
48. Monteiro CA, Levy RB, Claro RM et al. (2010) A new classification of foods based on the extent and purpose of their processing. Cad Saude Publica 26, 2039-2049.
49. Ministry of Health of Brazil, Secretariat of Health Care, Primary Health Care Department (2014) Dietary Guidelines for the Brazilian Population. http://189.28.128.100/dab/docs/portaldab/publicacoes/guia-alimentar-populacao-ingles.pdf (acessed October 2014).
50. Moubarac JC, Parra DC, Cannon G et al. (2014) Food classification systems based on food processing: significance and implications for policies and actions: a systematic literature review and assessment. Curr Obes Rep 3, 256-272.
51. Martins PA, Cremm EC, Leite FHM et al. (2013) Validation of an adapted version of the nutrition environment measurement tool for stores (NEMS-S) in an urban area of Brazil. J Nutr Educ Behav 45, 785-792.
52. Fonseca F (2013) Retail Foods, Brazil. Report no. BR13011. Global Agricultural Information Network. Brazil: USDA Foreign Agricultural Service.
53. Ghisi FA, Silveira JAG, Kristensen T et al. (2008) Horizontal alliances amongst small retailers in Brazil. Br Food J 110, 514-538.
54. Timperio A, Ball K, Roberts R et al. (2008) Children's fruit and vegetable intake: associations with the neighbourhood food environment. Prev Med 46, 331-335.
55. Skidmore P, Welch A, van Sluijs E et al. (2010) Impact of neighbourhood food environment on food consumption in children aged 9-10 years in the UK SPEEDY (Sport, Physical Activity and Eating behaviour: Environmental Determinants in Young people) study. Public Health Nutr 13, 1022-1030.
56. Lioret S, Betoko A, Forhan A et al. (2015) Dietary patterns track from infancy to preschool age: cross-sectional and longitudinal perspectives. J Nutr 145, 775-782.
57. Schmidt M, Affenito SG, Striegel-Moore R et al. (2005) Fast-food intake and diet quality in black and white girls: the National Heart, Lung, and Blood Institute Growth and Health Study. Arch Pediatr Adolesc Med 159, 626-631.
58. de Aquino RC & Phillippi ST (2002) Association of children's consumption of processed foods and family income in the city of São Paulo, Brazil. Rev Saude Publica 36, 655-660.
59. Laxer RE & Janssen I (2014) The proportion of excessive fast-food consumption attributable to the neighbourhood food environment among youth living within 1 km of their school. Appl Physiol Nutr Metab 39, 480-486.
60. Timperio A, Ball K, Roberts R et al. (2008) Children's fruit and vegetable intake: associations with the neighbourhood food environment. Prev Med 46, 331-335.
61. Jeffery RW, Baxter J, McGuire M et al. (2006) Are fast food restaurants an environmental risk factor for obesity? Int J Behav Nutr Phys Act 3, 2.
62. Wang R & Shi L (2012) Access to food outlets and children's nutritional intake in urban China: a difference-in-difference analysis. Ital J Pediatr 38, 30.
63. Van Hulst A, Barnett TA, Gauvin L et al. (2012) Associations between children's diets and features of their residential and school neighbourhood food environments. Can J Public Health 103, 9 Suppl. 3, eS48-eS54.
64. Global Panel on Agriculture and Food Systems for Nutrition (2014) How Can Agriculture and Food System Policies improve Nutrition? London: Global Panel on Agriculture and Food Systems for Nutrition.
65. Hawkes C, Smith TG, Jewell J et al. (2015) Smart food policies for obesity prevention. Lancet 385, 2410-2421.
66. Louzada MLdC, Martins APB, Canella DS et al. (2015) Impact of ultra-processed foods on micronutrient content in the Brazilian diet. Rev Saude Publica 49, 1-8.
67. Asfaw A (2011) Does consumption of processed foods explain disparities in the body weight of individuals? The case of Guatemala. Health Econ 20, 184-195.
68. Ding D, Sallis JF, Norman GJ et al. (2012) Community food environment, home food environment, and fruit and vegetable intake of children and adolescents. J Nutr Educ Behav 44, 634-638.
69. Jack D, Neckerman K, Schwartz-Soicher O et al. (2013) Socio-economic status, neighbourhood food environments and consumption of fruits and vegetables in New York City. Public Health Nutr 16, 1197-1205.
70. Lucan SC, Hillier A, Schechter CB et al. (2014) Objective and self-reported factors associated with food-environment perceptions and fruit-and-vegetable consumption: a multilevel analysis. Prev Chronic Dis 11, E47.
71. Duran AC, de Almeida SL, Latorre MD et al. (2016) The role of the local retail food environment in fruit, vegetable and sugar-sweetened beverage consumption in Brazil. Public Health Nutr 19, 1093-1102.
72. Shepherd J, Harden A, Rees R et al. (2006) Young people and healthy eating: a systematic review of research on barriers and facilitators. Health Educ Res 21, 239-257.
73. Huang CY, Reisch LA, Gwozdz W et al. (2016) Pester power and its consequences: do European children's food purchasing requests relate to diet and weight outcomes? Public Health Nutr 19, 2393-2403.
74. McDermott L, O'Sullivan T, Stead M et al. (2006) International food advertising, pester power and its effects. Int J Advert 25, 513-539.
75. Henry HKM & Borzekowski DLG (2011) The nag factor. J Child Media 5, 298-317.
76. Ogba IE & Johnson R (2010) How packaging affects the product preferences of children and the buyer behaviour of their parents in the food industry. Young Consum 11, 77-89.
77. Glanz K, Basil M, Maibach E et al. (1998) Why Americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption. J Am Diet Assoc 98, 1118-1126.
78. Vedovato GM, Trude AC, Kharmats AY et al. (2015) Degree of food processing of household acquisition patterns in a Brazilian urban area is related to food buying preferences and perceived food environment. Appetite 87, 296-302.
79. Budd N, Cuccia A, Jeffries JK et al. (2015) B'More Healthy: Retail Rewards-design of a multi-level communications and pricing intervention to improve the food environment in Baltimore City. BMC Public Health 15, 283.
80. Drewnowski A & Specter SE (2004) Poverty and obesity: the role of energy density and energy costs. Am J Clin Nutr 79, 6-16.
81. Welker E, Lott M & Story M (2016) The school food environment and obesity prevention: progress over the last decade. Curr Obes Rep 5, 145-155.
82. Moore LV, Diez Roux AV, Nettleton JA et al. (2008) Associations of the local food environment with diet quality-a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis. Am J Epidemiol 167, 917-924.
83. Leone AF, Rigby S, Betterley C et al. (2011) Store type and demographic influence on the availability and price of healthful foods, Leon County, Florida, 2008. Prev Chronic Dis 8, A140.
84. Black C, Ntani G, Inskip H et al. (2014) Measuring the healthfulness of food retail stores: variations by store type and neighbourhood deprivation. Int J Behav Nutr Phys Act 11, 69.
85. Duran AC, Diez Roux AV, Latorre Mdo R et al. (2013) Neighborhood socioeconomic characteristics and differences in the availability of healthy food stores and restaurants in Sao Paulo, Brazil. Health Place 23, 39-47.
86. Gehlhar M & Regmi A (2005) Factors shaping global food markets. In New Directions in Global Food Markets. Agriculture Information Bulletin no. AIB-794, pp. 5-17 [A Regmi and M Gehlhar, editors]. Washington, DC: US Department of Agriculture.
87. Monteiro CA & Cannon G (2012) The impact of transnational 'big food' companies on the South: a view from Brazil. PLoS Med 9, e1001252.
88. Reardon T, Timmer P & Berdegue J (2004) The rapid rise of supermarkets in developing countries: induced organizational, institutional, and technological change in agrifood systems. J Agric Dev Econ 1, 168-183.
89. Popkin BM (2014) Synthesis and implications: China's nutrition transition in the context of changes across other low-and middle-income countries. Obes Rev 15, 60-67.
90. Surkan PJ, Tabrizi MJ, Lee RM et al. (2016) Eat Right-Live Well! Supermarket intervention impact on sales of healthy foods in a low-income neighborhood. J Nutr Educ Behav 48, 112-121.
91. Gittelsohn J, Vijayadeva V, Davison N et al. (2010) A food store intervention trial improves caregiver psychosocial factors and children's dietary intake in Hawaii. Obesity (Silver Spring) 18, S84-S90.
92. Hammond RA & Dubé L (2012) A systems science perspective and transdisciplinary models for food and nutrition security. Proc Natl Acad Sci U S A 109, 12356-12363.
93. Castellani B, Rajaram R, Buckwalter JG et al. (2015) Place and Health as Complex Systems: A Case Study and Empirical Test. Cham, Switzerland: Springer.
94. Perchoux C, Chaix B, Cummins S et al. (2013) Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility. Health Place 21, 86-93.