The influence of market deregulation on fast food consumption and body mass index: A cross-national time series analysis;Influence de la déréglementation du marché sur la consommation de services de restauration rapide et sur l'indice de masse corporelle: Analyse d'une série chronologique transnationale

Bulletin of the World Health Organization

Volumn 92, Issue 2, 2014, Pages

  De Voglia, Roberto ^a   Kouvonen, Anne ^b   Gimeno, David ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^c UNIVERSITY OF TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE; ARTICLE; BODY MASS; CALORIC INTAKE; CALORIE; DEREGULATION; FAST FOOD; FAT INTAKE; FOOD INTAKE; GROSS NATIONAL PRODUCT; HUMAN; MARKET DEREGULATION; PREDICTOR VARIABLE; SOFT DRINK; TIME SERIES ANALYSIS; DEVELOPED COUNTRY; FEEDING BEHAVIOR; FEMALE; INCOME; MALE; OBESITY; STATISTICS AND NUMERICAL DATA; TASK PERFORMANCE;

ANIMALIA;

BODY MASS INDEX; DEVELOPED COUNTRIES; ENERGY INTAKE; FAST FOODS; FEMALE; FOOD HABITS; GROSS DOMESTIC PRODUCT; HUMANS; INCOME; MALE; OBESITY; TIME AND MOTION STUDIES;

EID: 84893367628     PISSN: 00429686     EISSN: 15640604     Source Type: Journal    
DOI: 10.2471/BLT.13.120287     Document Type: Article

References (50)

1. Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ et al.; Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Body Mass Index). National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet 2011;377:557-67. doi: http://dx.doi.org/10.1016/S0140-6736(10)62037-5 PMID:21295846
2. Yach D, Stuckler D, Brownell KD. Epidemiologic and economic consequences of the global epidemics of obesity and diabetes. Nat Med 2006;12:62-6. doi: http://dx.doi.org/10.1038/nm0106-62 PMID:16397571
3. Stuckler D, McKee M, Ebrahim S, Basu S. Manufacturing epidemics: the role of global producers in increased consumption of unhealthy commodities including processed foods, alcohol, and tobacco. PLoS Med 2012;9:e1001235. doi: http://dx.doi.org/10.1371/journal.pmed.1001235 PMID:22745605
4. New Oxford American dictionary. 3rd ed. Oxford: Oxford University Press; 2010.
5. Sturm R, Datar A. Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health 2005;119:1059-68. doi: http://dx.doi.org/10.1016/j.puhe.2005.05.007 PMID:16140349
6. Anderson ML, Matsa DA. Are restaurants really supersizing America? Am Econ J Appl Econ 2011;3:152-88. doi: http://dx.doi.org/10.1257/app.3.1.152
7. Reidpath DD, Burns C, Garrard J, Mahoney M, Townsend M. An ecological study of the relationship between social and environmental determinants of obesity. Health Place 2002;8:141-5. doi: http://dx.doi.org/10.1016/S1353-8292(01)00028-4 PMID:11943585
8. French SA, Harnack L, Jeffery RW. Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. Int J Obes Relat Metab Disord 2000;24:1353-9. doi: http://dx.doi.org/10.1038/sj.ijo.0801429 PMID:11093299
9. Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR Jr et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 2005;365:36-42. doi: http://dx.doi.org/10.1016/S0140-6736(04)17663-0 PMID:15639678
10. Cummins SC, McKay L, MacIntyre S. McDonald's restaurants and neighborhood deprivation in Scotland and England. Am J Prev Med 2005;29:308-10. doi: http://dx.doi.org/10.1016/j.amepre.2005.06.011 PMID:16242594
11. Block JP, Scribner RA, DeSalvo KB. Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med 2004;27:211-7. PMID:15450633
12. Pearce J, Hiscock R, Blakely T, Witten K. A national study of the association between neighbourhood access to fast-food outlets and the diet and weight of local residents. Health Place 2009;15:193-7. doi: http://dx.doi.org/10.1016/j.healthplace.2008.04.003 PMID:18499502
13. Maddock J. The relationship between obesity and the prevalence of fast food restaurants: state-level analysis. Am J Health Promot 2004;19:137-43. doi: http://dx.doi.org/10.4278/0890-1171-19.2.137 PMID:15559714
14. Fantasia R. Fast food in France. Theory Society 1995;24:201-43. doi: http://dx.doi.org/10.1007/BF00993397
15. DeBres K. Burgers for Britain: a cultural geography of McDonald's UK. J Cultural Geogr 2005;22:115-39. doi: http://dx.doi.org/10.1080/08873630509478241
16. Rabin BA, Boehmer TK, Brownson RC. Cross-national comparison of environmental and policy correlates of obesity in Europe. Eur J Public Health 2007;17:53-61. doi: http://dx.doi.org/10.1093/eurpub/ckl073 PMID:16751632
17. Offer A, Pechey R, Ulijaszek S. Obesity under affluence varies by welfare regimes: the effect of fast food, insecurity, and inequality. Econ Hum Biol 2010;8:297-308. doi: http://dx.doi.org/10.1016/j.ehb.2010.07.002 PMID:20801725
18. De Vogli R, Kouvonen A, Gimeno D. 'Globesization': ecological evidence on the relationship between fast food outlets and obesity among 26 advanced economies. Crit Public Health 2011;21:395-402. doi: http://dx.doi.org/10.1080/09581596.2011.619964
19. Basu S, McKee M, Galea G, Stuckler D. Relationship of soft drink consumption to global overweight, obesity and diabetes: a cross-national analysis of 75 countries. Am J Public Health 2013:e1-7. doi: http://dx.doi.org/10.2105/AJPH.2012.300974
20. Thow AM, Hawkes C. The implications of trade liberalization for diet and health: a case study from Central America. Global Health 2009;5:5. doi: http://dx.doi.org/10.1186/1744-8603-5-5 PMID:19638196
21. Rayner G, Hawkes C, Lang T, Bello W. Trade liberalization and the diet transition: a public health response. Health Promot Int 2006;21(Suppl 1):67-74. doi: http://dx.doi.org/10.1093/heapro/dal053 PMID:17307959
22. Hawkes C. Uneven dietary development: linking the policies and processes of globalization with the nutrition transition, obesity and diet-related chronic diseases. Global Health 2006;2:4. doi: http://dx.doi.org/10.1186/1744-8603-2-4 PMID:16569239
23. Dreher A, Gaston N, Martens P. Measuring globalisation: gauging its consequences. New York: Springer; 2008.
24. PLoS Medicine Editors. PLoS Medicine series on Big Food: the food industry is ripe for scrutiny. PLoS Med 2012;9:e1001246. doi: http://dx.doi.org/10.1371/journal.pmed.1001246 PMID:22723749
25. Hawkes C. The role of foreign direct investment in the nutrition transition. Public Health Nutr 2005;8:357-65. doi: http://dx.doi.org/10.1079/PHN2004706 PMID:15975180
26. Cutler DM, Glaeser EL, Shapiro JM. Why have Americans become more obese? J Econometric Persp 2003;17:93-118. doi: http://dx.doi.org/10.1257/089533003769204371
27. Deurenberg P, Yap M, van Staveren WA. Body mass index and percent body fat: a meta analysis among different ethnic groups. Int J Obes Relat Metab Disord 1998;22:1164-71. doi: http://dx.doi.org/10.1038/sj.ijo.0800741 PMID:9877251
28. Euromonitor International [Internet]. Passport Global Market Information Database. Available from: http://www.euromonitor.com [accessed 2 October 2013].
29. The World Bank [Internet]. World development indicators. Washington: World Bank; 2012. Available from: http://data.worldbank.org/data-catalog/world-development-indicators [accessed 2 October 2013].
30. Coleman WD. From protected development to market liberalism: paradigm change in agriculture. J European Public Policy 1998;5:632-51. doi: http://dx.doi.org/10.1080/13501769880000061
31. Miller T, Holmes K. Index of economic freedom: the link between economic opportunity and prosperity. Washington: Heritage Foundation; 2009.
32. World Health Organization [Internet]. WHO Global InfoBase. Geneva: WHO; 2013. Available from: http://www.who.int/ncd_surveillance/infobase/en/ [accessed 2 October 2013].
33. Pickett KE, Kelly S, Brunner E, Lobstein T, Wilkinson RG. Wider income gaps, wider waistbands? An ecological study of obesity and income inequality. J Epidemiol Community Health 2005;59:670-4. doi: http://dx.doi.org/10.1136/jech.2004.028795 PMID:16020644
34. Wilkinson R, Pickett K. The spirit level: why greater equality makes societies stronger. New York: Bloomsbury Press; 2009.
35. Solt F. Standardizing the world income inequality database. Soc Sci Q 2009;90:231-42. doi: http://dx.doi.org/10.1111/j.1540-6237.2009.00614.x
36. Deininger K, Squire L. A new dataset measuring income inequality. World Bank Econ Rev 1996;10:565-91. doi: http://dx.doi.org/10.1093/wber/10.3.565
37. FAOSTAT Statistical Database. Rome: Food and Agriculture Organization of the United Nations; 2012.
38. Baltagi B. Econometric analysis of panel data. 4th ed. Chichester: John Wiley & Sons; 2008.
39. Wooldridge J. Advanced panel data methods. In: Wooldridge J, editor. Introductory econometrics: a modern approach. Mason: South-Western Cengage Learning; 2009. p. 489.
40. Greene WH. Econometric analysis. 5th ed. Upper Saddle River: Prentice Hall; 2012.
41. Angrist J, Imbens G, Rubin D. Identification of causal effects using instrumental variables. J Am Stat Assoc 1996;91:444-55. doi: http://dx.doi.org/10.1080/01621459.1996.10476902
42. Dunford E, Webster J, Barzi F, Neal B. Nutrient content of products served by leading Australian fast food chains. Appetite 2010;55:484-9. doi: http://dx.doi.org/10.1016/j.appet.2010.08.015 PMID:20816711
43. Jahren AH, Kraft RA. Carbon and nitrogen stable isotopes in fast food: signatures of corn and confinement. Proc Natl Acad Sci U S A 2008;105:17855-60. doi: http://dx.doi.org/10.1073/pnas.0809870105 PMID:19001276
44. Monteiro CA. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr 2009;12:729-31. doi: http://dx.doi.org/10.1017/S1368980009005291 PMID:19366466
45. Alston JM, Sumner DA, Vosti SA. Farm subsidies and obesity in the United States: national evidence and international comparisons. Food Policy 2008;33:470-9. doi: http://dx.doi.org/10.1016/j.foodpol.2008.05.008
46. Bleich S, Cutler D, Murray C, Adams A. Why is the developed world obese? Annu Rev Public Health 2008;29:273-95. doi: http://dx.doi.org/10.1146/annurev.publhealth.29.020907.090954 PMID:18173389
47. Monteiro CA, Cannon G. The impact of transnational "big food" companies on the South: a view from Brazil. PLoS Med 2012;9:e1001252. doi: http://dx.doi.org/10.1371/journal.pmed.1001252 PMID:22802732
48. Kurtz MJ, Schrank A. Growth and governance: models, measures and mechanisms. J Politics 2007;69:538-54. doi: http://dx.doi.org/10.1111/j.1468-2508.2007.00549.x
49. World Health Organization. Global Health Observatory: the data repository. [Internet]. Available from: www.who.int/gho/database/en/ [accessed 2 October 2013].
50. Baum CF. An introduction to modern econometrics using STATA. College Station: Stata Press; 2006.