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.
Popkin, BM (2006) Technology, transport, globalization and the nutrition transition food policy. Food Policy
31, 554–569.
3.
Popkin, BM (2006) Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr
84, 289–298.
4.
Owen, N, Sparling, PB, Healy, GN
et al. (2010) Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc
85, 1138–1141.
5.
Martins, APB, Levy, RB, Claro, RM
et al. (2013) Participação crescente de produtos ultraprocessados na dieta brasileira (1987–2009). Rev Saude Publica
47, 656–665.
6.
Monteiro, CA, Cannon, G, Moubarac, J-C
et al. (2017) The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr (Epublication ahead of print version).
7.
Pan American Health Organization (2015) Ultra-Processed Food and Drink Products in Latin America: Trends, Impact on Obesity, Policy Implications. Washington DC: PAHO.
8.
Food and Agriculture Organization of the United Nations (2015) Guidelines on the Collection of Information on Food Processing Through Food Consumption Surveys. Rome: FAO.
9.
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.
10.
Louzada, MLdC, Baraldi, LG, Steele, EM
et al. (2015) Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Prev Med
81, 9–15.
11.
Mendonça, RdD, Pimenta, AM, Gea, A
et al. (2016) Ultraprocessed food consumption and risk of overweight and obesity: the University of Navarra Follow-Up (SUN) cohort study. Am J Clin Nutr
104, 1433–1440.
12.
Singh, AS, Mulder, C, Twisk, JW
et al. (2008) Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev
9, 474–488.
13.
Vandenbroucke, JP, Von Elm, E, Altman, DG
et al. (2007) Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Ann Intern Med
147, W163–W194.
14.
Moher, D, Hopewell, S, Schulz, KF
et al. (2010) CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol
63, e1–e37.
15.
Johnson, L, Mander, AP, Jones, LR
et al. (2007) Is sugar-sweetened beverage consumption associated with increased fatness in children?
Nutrition
23, 557–563.
16.
Denova-Gutiérrez, E, Jiménez-Aguilar, A, Halley-Castillo, E
et al. (2009) Association between sweetened beverage consumption and body mass index, proportion of body fat and body fat distribution in Mexican adolescents. Ann Nutr Metab
53, 245–251.
17.
Duncan, JS, Schofield, G, Duncan, EK
et al. (2008) Risk factors for excess body fatness in New Zealand children. Asia Pac J Clin Nutr
17, 138–147.
18.
Libuda, L, Alexy, U, Sichert-Hellert, W
et al. (2008) Pattern of beverage consumption and long-term association with body-weight status in German adolescents – results from the DONALD study. Br J Nutr
99, 1370–1379.
19.
Fiorito, LM, Marini, M, Francis, LA
et al. (2009) Beverage intake of girls at age 5 y predicts adiposity and weight status in childhood and adolescence. Am J Clin Nutr
90, 935–942.
20.
Gómez-Martínez, S, Martín, A, Romeo, J
et al. (2009) Is soft drink consumption associated with body composition? A cross-sectional study in Spanish adolescents. Nutr Hosp
24, 97–102.
21.
Bauer, KW, Neumark-Sztainer, D, Fulkerson, JA
et al. (2011) Familial correlates of adolescent girls’ physical activity, television use, dietary intake, weight, and body composition. Int J Behav Nutr Phys Act
8, 25.
22.
Laska, MN, Murray, DM, Lytle, LA
et al. (2012) Longitudinal associations between key dietary behaviors and weight gain over time: transitions through the adolescent years. Obesity (Silver Spring)
20, 118–125.
23.
Sluyter, JD, Scragg, RK, Plank, LD
et al. (2013) Sizing the association between lifestyle behaviours and fatness in a large, heterogeneous sample of youth of multiple ethnicities from 4 countries. Int J Behav Nutr Phys Act
10, 115.
24.
Bigornia, SJ, LaValley, MP, Noel, SE
et al. (2015) Sugar-sweetened beverage consumption and central and total adiposity in older children: a prospective study accounting for dietary reporting errors. Public Health Nutr
18, 1155–1163.
25.
Laverty, AA, Magee, L, Monteiro, CA
et al. (2015) Sugar and artificially sweetened beverage consumption and adiposity changes: national longitudinal study. Int J Behav Nutr Phys Act
12, 137.
26.
Zheng, M, Allman‐Farinelli, M, Heitmann, B
et al. (2015) Liquid versus solid energy intake in relation to body composition among Australian children. J Hum Nutr Diet
28, 70–79.
27.
Phillips, SM, Bandini, LG, Naumova, EN
et al. (2004) Energy‐dense snack food intake in adolescence: longitudinal relationship to weight and fatness. Obes Res
12, 461–472.
28.
Ritchie, LD, Spector, P, Stevens, MJ
et al. (2007) Dietary patterns in adolescence are related to adiposity in young adulthood in black and white females. J Nutr
137, 399–406.
29.
Wosje, KS, Khoury, PR, Claytor, RP
et al. (2010) Dietary patterns associated with fat and bone mass in young children. Am J Clin Nutr
92, 294–303.
30.
Alexy, U, Libuda, L, Mersmann, S
et al. (2011) Convenience foods in children’s diet and association with dietary quality and body weight status. Eur J Clin Nutr
65, 160–166.
31.
Feeley, AB, Musenge, E, Pettifor, JM
et al. (2013) Investigation into longitudinal dietary behaviours and household socio-economic indicators and their association with BMI Z-score and fat mass in South African adolescents: the Birth to Twenty (Bt20) cohort. Public Health Nutr
16, 693–703.
32.
Howe, AS, Black, KE, Wong, JE
et al. (2013) Dieting status influences associations between dietary patterns and body composition in adolescents: a cross-sectional study. Nutr J
12, 51.
33.
Montoye, AH, Pfeiffer, KA, Alaimo, K
et al. (2013) Junk food consumption and screen time: association with childhood adiposity. Am J Health Behav
37, 395–403.
34.
Yildirim, M, Singh, AS, Velde, SJ
et al. (2013) Mediators of longitudinal changes in measures of adiposity in teenagers using parallel process latent growth modeling. Obesity (Silver Spring)
21, 2387–2395.
35.
Diethelm, K, Günther, AL, Schulze, MB
et al. (2014) Prospective relevance of dietary patterns at the beginning and during the course of primary school to the development of body composition. Br J Nutr
111, 1488–1498.
36.
Shang, L, O’Loughlin, J, Tremblay, A
et al. (2013) The association between food patterns and adiposity among Canadian children at risk of overweight. Appl Physiol Nutr Metab
39, 195–201.
37.
Leary, S, Lawlor, D, Smith, GD
et al. (2015) Behavioural early-life exposures and body composition at age 15 years. Nutr Diabetes
5, e150.
38.
Chaves, OC, Franceschini Sdo, C, Ribeiro, SMR
et al. (2013) Anthropometric and biochemical parameters in adolescents and their relationship with eating habits and household food availability. Nutr Hosp
28, 1352–1356.
39.
Cuenca-García, M, Ruiz, JR, Ortega, FB
et al. (2014) Association between chocolate consumption and fatness in European adolescents. Nutrition
30, 236–239.
40.
Michels, N, De Henauw, S, Breidenassel, C
et al. (2015) European adolescent ready-to-eat-cereal (RTEC) consumers have a healthier dietary intake and body composition compared with non-RTEC consumers. Eur J Nutr
54, 653–664.
41.
Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol
13, 3–9.
42.
Madruga, SW, Araújo, CLP, Bertoldi, AD
et al. (2012) Manutenção dos padrões alimentares da infância à adolescência. Rev Saude Publica
46, 376–386.
43.
Ventura, AK & Worobey, J (2013) Early influences on the development of food preferences. Curr Biol
23, R401–R408.
