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Towards unified and impactful policies to reduce ultra-processed food consumption and promote healthier eating

Popkin, Barry M, Barquera, Simon, Corvalan, Camila, Hofman, Karen J, Monteiro, Carlos, Ng, Shu Wen, Swart, Elizabeth C, Taillie, Lindsey Smith·2021·The Lancet Diabetes & Endocrinology
DOI 10.1016/s2213-8587(21)00078-4PMC PMC8217149
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Research works printed but not linked: 63

  1. 2020, Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019, Lancet, 396, 1223, 10.1016/S0140-6736(20)30752-2 · DOI · Paper page
  2. Popkin, 2020, Dynamics of the double burden of malnutrition and the changing nutrition reality, Lancet, 395, 65, 10.1016/S0140-6736(19)32497-3 · DOI
  3. Bixby, 2019, Rising rural body-mass index is the main driver of the global obesity epidemic in adults, Nature, 569, 260, 10.1038/s41586-019-1171-x · DOI · Paper page
  4. Mialon, 2020, Mapping of food industry strategies to influence public health policy, research and practice in South Africa, Int J Public Health, 65, 1027, 10.1007/s00038-020-01407-1 · DOI
  5. Mialon, 2015, A proposed approach to systematically identify and monitor the corporate political activity of the food industry with respect to public health using publicly available information, Obes Rev, 16, 519, 10.1111/obr.12289 · DOI · Paper page
  6. Seferidi, 2021, Industry self-regulation fails to deliver healthier diets, again, BMJ, 372
  7. Monteiro, 2018, The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing, Public Health Nutr, 21, 5, 10.1017/S1368980017000234 · DOI · Paper page
  8. Monteiro, 2013, Ultra-processed products are becoming dominant in the global food system, Obes Rev, 14, 21, 10.1111/obr.12107 · DOI · Paper page
  9. Wu, 2021, Growing fast food consumption and obesity in Asia: challenges and implications, Soc Sci Med, 269, 10.1016/j.socscimed.2020.113601 · DOI
  10. Pries, 2019, Unhealthy snack food and beverage consumption is associated with lower dietary adequacy and length-for-age z-scores among 12-23-month-olds in Kathmandu Valley, Nepal, J Nutr, 149, 1843, 10.1093/jn/nxz140 · DOI
  11. Pagliai, 2021, Consumption of ultra-processed foods and health status: a systematic review and meta-analysis, Br J Nutr, 125, 308, 10.1017/S0007114520002688 · DOI · Paper page
  12. Lawrence, 2019, Ultra-processed food and adverse health outcomes, BMJ, 365
  13. Chaloupka, 2019, The use of excise taxes to reduce tobacco, alcohol, and sugary beverage consumption, Annu Rev Public Health, 40, 187, 10.1146/annurev-publhealth-040218-043816 · DOI
  14. Fardet, 2020, Ultra-processed foods and food system sustainability: what are the links?, Sustainability, 12, 10.3390/su12156280 · DOI
  15. Knai, 2021, The case for developing a cohesive systems approach to research across unhealthy commodity industries, BMJ Glob Health, 6, 10.1136/bmjgh-2020-003543 · DOI
  16. Colchero, 2016, Beverage purchases from stores in Mexico under the excise tax on sugar sweetened beverages: observational study, BMJ, 352
  17. Colchero, 2017, In Mexico, evidence of sustained consumer response two years after implementing a sugar-sweetened beverage tax, Health Aff (Millwood), 36, 564, 10.1377/hlthaff.2016.1231 · DOI · Paper page
  18. Colchero, 2017, Changes in prices of taxed sugar-sweetened beverages and nonessential energy dense food in rural and semi-rural areas in Mexico, Salud Publica Mex, 59, 137
  19. Colchero, 2015, Changes in prices after an excise tax to sweetened sugar beverages was implemented in Mexico: evidence from urban areas, PLoS One, 10, 10.1371/journal.pone.0144408 · DOI
  20. Ng, 2018, Did high sugar-sweetened beverage purchasers respond differently to the excise tax on sugar-sweetened beverages in Mexico?, Public Health Nutr, 22, 1
  21. Guerrero-López, 2017, Employment changes associated with the introduction of taxes on sugar-sweetened beverages and nonessential energy-dense food in Mexico, Prev Med, 105S, S43, 10.1016/j.ypmed.2017.09.001 · DOI
  22. Basto-Abreu, 2018, Expected changes in obesity after reformulation to reduce added sugars in beverages: a modeling study, PLoS Med, 15, 10.1371/journal.pmed.1002664 · DOI
  23. Torres-Álvarez, 2020, Body weight impact of the sugar-sweetened beverages tax in Mexican children: a modeling study, Pediatr Obes, 15, 10.1111/ijpo.12636 · DOI
  24. Sánchez-Romero, 2016, Projected impact of Mexico's sugar-sweetened beverage tax policy on diabetes and cardiovascular disease: a modeling study, PLoS Med, 13, 10.1371/journal.pmed.1002158 · DOI
  25. Batis, 2016, First-year evaluation of Mexico's tax on nonessential energy-dense foods: an observational study, PLoS Med, 13, 10.1371/journal.pmed.1002057 · DOI
  26. Hernández-F, 2019, Reduction in purchases of energy-dense nutrient-poor foods in Mexico associated with the introduction of a tax in 2014, Prev Med, 118, 16, 10.1016/j.ypmed.2018.09.019 · DOI
  27. Taillie, 2017, Do high vs low purchasers respond differently to a nonessential energy-dense food tax? Two-year evaluation of Mexico's 8% nonessential food tax, Prev Med, 105S, S37, 10.1016/j.ypmed.2017.07.009 · DOI
  28. Stacey, 2019, Sugar-based beverage taxes and beverage prices: evidence from South Africa's Health Promotion Levy, Soc Sci Med, 238, 10.1016/j.socscimed.2019.112465 · DOI
  29. Stacey, 2021, Changes in beverage purchases following the announcement and implementation of South Africa's health promotion levy: an observational study, Lancet Planet Health, 5, e200, 10.1016/S2542-5196(20)30304-1 · DOI
  30. Essman M, Taillie L, Ng S, Popkin BM, Jenkings TRS. Changes in taxed and untaxed beverage intake by South African young adults after a national sugar-sweetened beverage tax: a before-and-after study. PLoS Med (in press).
  31. Wrottesley, 2020, Assessing sugar-sweetened beverage intakes, added sugar intakes and BMI before and after the implementation of a sugar-sweetened beverage tax in South Africa, Public Health Nutr
  32. Mandle, 2015, Nutrition labelling: a review of research on consumer and industry response in the global South, Glob Health Action, 8, 10.3402/gha.v8.25912 · DOI
  33. Allcott, 2019, Should we tax sugar-sweetened beverages? An overview of theory and evidence, J Econ Perspect, 33, 202, 10.1257/jep.33.3.202 · DOI
  34. Taillie, 2020, Experimental studies of front-of-package nutrient warning labels on sugar-sweetened beverages and ultra-processed foods: a scoping review, Nutrients, 12, E569, 10.3390/nu12020569 · DOI
  35. Taillie, 2020, An evaluation of Chile's Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: a before-and-after study, PLoS Med, 17, 10.1371/journal.pmed.1003015 · DOI
  36. Reyes, 2020, Changes in the amount of nutrient of packaged foods and beverages after the initial implementation of the Chilean Law of Food Labelling and Advertising: a nonexperimental prospective study, PLoS Med, 17, 10.1371/journal.pmed.1003220 · DOI
  37. Correa, 2019, Responses to the Chilean law of food labeling and advertising: exploring knowledge, perceptions and behaviors of mothers of young children, Int J Behav Nutr Phys Act, 16, 21, 10.1186/s12966-019-0781-x · DOI
  38. Paraje, 2021, Employment and real wage changes associated with the warning label regulations in Chile, Food Policy
  39. Corvalán, 2013, Structural responses to the obesity and non-communicable diseases epidemic: the Chilean Law of Food Labeling and Advertising, Obes Rev, 14, 79, 10.1111/obr.12099 · DOI
  40. Reyes, 2019, Development of the Chilean front-of-package food warning label, BMC Public Health, 19, 906, 10.1186/s12889-019-7118-1 · DOI
  41. Corvalán, 2019, Structural responses to the obesity and non-communicable diseases epidemic: update on the Chilean law of food labelling and advertising, Obes Rev, 20, 367, 10.1111/obr.12802 · DOI
  42. Correa, 2020, Food advertising on television before and after a national unhealthy food marketing regulation in Chile, 2016-2017, Am J Public Health, 110, 1054, 10.2105/AJPH.2020.305658 · DOI
  43. Galbraith-Emami, 2013, The impact of initiatives to limit the advertising of food and beverage products to children: a systematic review, Obes Rev, 14, 960, 10.1111/obr.12060 · DOI
  44. Chambers, 2015, Reducing the volume, exposure and negative impacts of advertising for foods high in fat, sugar and salt to children: a systematic review of the evidence from statutory and self-regulatory actions and educational measures, Prev Med, 75, 32, 10.1016/j.ypmed.2015.02.011 · DOI
  45. Silva, 2015, An evaluation of the effect of child-directed television food advertising regulation in the United Kingdom, Can J Agric Econ, 63, 583, 10.1111/cjag.12078 · DOI
  46. Sharma, 2010, The food industry and self-regulation: standards to promote success and to avoid public health failures, Am J Public Health, 100, 240, 10.2105/AJPH.2009.160960 · DOI
  47. Kunkel, 2015, Evaluating industry self-regulation of food marketing to children, Am J Prev Med, 49, 181, 10.1016/j.amepre.2015.01.027 · DOI
  48. Ronit, 2014, Obesity and industry self-regulation of food and beverage marketing: a literature review, Eur J Clin Nutr, 68, 753, 10.1038/ejcn.2014.60 · DOI
  49. Kelly, 2019, Global benchmarking of children's exposure to television advertising of unhealthy foods and beverages across 22 countries, Obes Rev, 20, 116, 10.1111/obr.12840 · DOI
  50. Lacy-Nichols, 2020, The politics of voluntary self-regulation: insights from the development and promotion of the Australian Beverages Council's Commitment, Public Health Nutr, 23, 564, 10.1017/S1368980019002003 · DOI
  51. Lesser, 2007, Relationship between funding source and conclusion among nutrition-related scientific articles, PLoS Med, 4, e5, 10.1371/journal.pmed.0040005 · DOI
  52. Ojeda, 2020, The influence of the sugar-sweetened beverage industry on public policies in Mexico, Int J Public Health, 65, 1037, 10.1007/s00038-020-01414-2 · DOI
  53. Mialon, 2020, Food industry political practices in Chile: “the economy has always been the main concern”, Global Health, 16, 107, 10.1186/s12992-020-00638-4 · DOI
  54. van Tulleken, 2020, Marketing of breastmilk substitutes during the COVID-19 pandemic, Lancet, 396, e58, 10.1016/S0140-6736(20)32119-X · DOI
  55. Barquera, 2020, Nutricia Code: nutrition and conflict of interest in academia, Salud Publica Mex, 62, 313, 10.21149/11291 · DOI
  56. Gillon-Keren, 2020, Development of criteria for a positive front-of-package food labeling: the Israeli case, Nutrients, 12, 10.3390/nu12061875 · DOI
  57. Mørk, 2015, Campaigning for a healthier diet: evaluating the case of the Nordic “Keyhole” label 2014T: Trine Mørk, Eur J Public Health, 25, 211
  58. Peñalvo, 2017, The potential impact of food taxes and subsidies on cardiovascular disease and diabetes burden and disparities in the United States, BMC Med, 15, 208, 10.1186/s12916-017-0971-9 · DOI
  59. Valizadeh, 2021, Would a national sugar-sweetened beverage tax in the United States be well targeted?, Am J Agric Econ, 10.1111/ajae.12190 · DOI
  60. Cobiac, 2017, Taxes and subsidies for improving diet and population health in Australia: a cost-effectiveness modelling study, PLoS Med, 14, 10.1371/journal.pmed.1002232 · DOI
  61. Basto-Abreu, 2020, Predicting obesity reduction after implementing warning labels in Mexico: a modeling study, PLoS Med, 17, 10.1371/journal.pmed.1003221 · DOI
  62. Hawkes, 2020, Double-duty actions: seizing programme and policy opportunities to address malnutrition in all its forms, Lancet, 395, 142, 10.1016/S0140-6736(19)32506-1 · DOI
  63. Swinburn, 2019, The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report, Lancet, 393, 791, 10.1016/S0140-6736(18)32822-8 · DOI · Paper page

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Metadata

Authors
Popkin, B. M., Barquera, S., Corvalan, C., Hofman, K. J., Monteiro, C., Ng, S. W., Swart, E. C., & Taillie, L. S.
Venue
The Lancet Diabetes & Endocrinology
Publisher
Elsevier BV
Published
2021-07
Volume
9
Issue
7
Pages
462-470
ISSN
2213-8587
DOI
10.1016/s2213-8587(21)00078-4
PMC
PMC8217149
Cited by
328
References
10
Language
en
Licence
Funders
  • Robert Wood Johnson Foundation (P30 AG066615)
  • Laura and John Arnold Foundation
  • National Institutes of Health (R01DK108148, P30 AG066615)
  • South African Medical Research Council
  • International Development Research Centre
  • Bloomberg Philanthropies
  • South African Medical Research Council Division of Research Capacity Development (D1305910-03)

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