Variation in ultra-processed food consumption from 6 to 15 years, body weight and body composition at 15 years of age at The Pelotas 2004 Birth Cohort

Nenhuma Miniatura disponível
Citações na Scopus
0
Tipo de produção
article
Data de publicação
2024
Título da Revista
ISSN da Revista
Título do Volume
Editora
WILEY
Autores
SANTOS, Ina S.
BIERHALS, Isabel O.
COSTA, Caroline S.
TOVO-RODRIGUES, Luciana
Citação
PEDIATRIC OBESITY, v.19, n.4, 2024
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background: The association of ultra-processed food (UPF) consumption with obesity and adipose tissue in children/adolescents remains poorly understood. Objective: To assess the association of UPF consumption with excessive weight (EW-defined as BMI-for-age >=+1 z-score) and body composition at 15 years. Methods: In a birth cohort, daily UPF consumption was estimated by Food Frequency Questionnaires at 6 and 15 years. Those in the higher tercile of UPF consumption at both follow-ups were the 'always-high consumers'. Air-displacement plethysmography provided fat mass (FM-kg), fat-free mass (FFM-kg), %FM, %FFM, FM index (FMI-kg/m(2)) and FFM index (FFMI-kg/m(2)). Logistic regression and linear regression were used to estimate, respectively, odds ratios and beta coefficients. Results: Amongst 1584 participants, almost one in every seven were always-high consumers. In crude analyses, there was no association between variation in UPF consumption and EW, and body fat parameters were lower in the always-high consumer group than amongst the always-low consumers, in both sexes. With adjustment for confounders, the odds ratio for EW was higher in the always-high consumer than amongst the always-low consumer group, and the direction of the associations with FM parameters was reversed: males from the always-high consumer group presented almost twice as high FM (10.5 vs. 18.6 kg; p < 0.001) and twice as high FMI (3.4 vs. 6.3 kg/m(2); p < 0.001) than the always-low consumer group, and females from the always-high consumer group presented on average 32% more FM and FMI than the always-low consumer group. Conclusions: In crude and adjusted analyses there was a strong association between high UPF consumption from childhood to adolescence, EW and higher body fat parameters at 15 years, but its deleterious association with body adiposity was only uncovered after adjusting for confounders.
Palavras-chave
body composition, cohort study, excessive weight, fat mass, fat-free mass, ultra-processed food
Referências
  1. [Anonymous], 2015, GUID COLL INF FOOD P
  2. [Anonymous], 2005, Dietary Reference intakes for energy, carbohydrate, fiber, Fat, fatty acids, cholesterol, protein, and amino acids
  3. Baraldi LG, 2018, BMJ OPEN, V8, DOI 10.1136/bmjopen-2017-020574
  4. Börnhorst C, 2013, PUBLIC HEALTH NUTR, V16, P256, DOI 10.1017/S1368980012004491
  5. Martins APB, 2013, REV SAUDE PUBL, V47, P656, DOI 10.1590/S0034-8910.2013047004968
  6. Costa CD, 2021, INT J EPIDEMIOL, V50, P256, DOI 10.1093/ije/dyaa141
  7. Costa CS, 2018, PUBLIC HEALTH NUTR, V21, P148, DOI 10.1017/S1368980017001331
  8. Louzada MLD, 2015, PREV MED, V81, P9, DOI 10.1016/j.ypmed.2015.07.018
  9. da Silva ICM, 2014, INT J EPIDEMIOL, V43, P1959, DOI 10.1093/ije/dyu203
  10. Fonseca PCD, 2019, EUR J NUTR, V58, P2887, DOI 10.1007/s00394-018-1840-9
  11. De Amicis R, 2022, EUR J NUTR, V61, P2297, DOI 10.1007/s00394-022-02873-4
  12. Mendonça RD, 2016, AM J CLIN NUTR, V104, P1433, DOI 10.3945/ajcn.116.135004
  13. de Onis Mercedes, 2007, Bull World Health Organ, V85, P660, DOI 10.2471/BLT.07.043497
  14. Costa CD, 2021, PUBLIC HEALTH NUTR, V24, P299, DOI 10.1017/S1368980019004245
  15. Ezzati M, 2017, LANCET, V390, P2627, DOI [10.1016/S0140-6736(17)32129-3, 10.1016/s0140-6736(17)32129-3]
  16. Guimaraes A.S.A., 1995, RACISM ANTIRACISM WO, P208
  17. Harris PA, 2009, J BIOMED INFORM, V42, P377, DOI 10.1016/j.jbi.2008.08.010
  18. Instituto Brasileiro de Geografia e Estatistica (IBGE), 2010, ATL CENS DEM 2010
  19. Instituto Brasileiro de Geografia e Estatistica (IBGE), PAN
  20. Kye Seunghee, 2014, Osong Public Health Res Perspect, V5, P85, DOI 10.1016/j.phrp.2014.02.002
  21. Lane MM, 2021, OBES REV, V22, DOI 10.1111/obr.13146
  22. Leech RM, 2018, EUR J CLIN NUTR, V72, P142, DOI 10.1038/ejcn.2017.90
  23. Lohman Timothy, 1989, Pediatr Exerc Sci, V1, P19, DOI 10.1123/pes.1.1.19
  24. Malik VS, 2022, NAT REV ENDOCRINOL, V18, P205, DOI 10.1038/s41574-021-00627-6
  25. Marrón-Ponce JA, 2018, PUBLIC HEALTH NUTR, V21, P87, DOI 10.1017/S1368980017002129
  26. Mendez MA, 2011, AM J EPIDEMIOL, V173, P448, DOI 10.1093/aje/kwq380
  27. Monteiro CA, 2019, PUBLIC HEALTH NUTR, V22, P936, DOI 10.1017/S1368980018003762
  28. Monteiro CA, 2018, PUBLIC HEALTH NUTR, V21, P5, DOI 10.1017/S1368980017000234
  29. Moubarac JC, 2017, APPETITE, V108, P512, DOI 10.1016/j.appet.2016.11.006
  30. Movassagh EZ, 2017, NUTRIENTS, V9, DOI 10.3390/nu9090990
  31. Nardocci M, 2019, CAN J PUBLIC HEALTH, V110, P4, DOI 10.17269/s41997-018-0130-x
  32. Organization WH, 2020, 124 WHO
  33. PAHO, 2015, ULTRA PROCESSED FOOD
  34. Pelegrini Andreia, 2021, Rev. bras. cineantropom. desempenho hum., V23, pe80352, DOI 10.1590/1980-0037.2021v23e80352
  35. Pinheiro ABV., 2005, TABELA AVALIACAO CON
  36. Popkin BM, 2006, AM J CLIN NUTR, V84, P289, DOI 10.1093/ajcn/84.2.289
  37. Rauber F, 2015, NUTR METAB CARDIOVAS, V25, P116, DOI 10.1016/j.numecd.2014.08.001
  38. Santos IS, 2011, INT J EPIDEMIOL, V40, P1461, DOI 10.1093/ije/dyq130
  39. Santos IS., 2014, INT J EPIDEMIOL, V43
  40. Sbaraini M, 2021, PUBLIC HEALTH NUTR, V24, P6415, DOI 10.1017/S1368980021001464
  41. Schneider Bruna Celestino, 2016, Rev. bras. epidemiol., V19, P419, DOI 10.1590/1980-5497201600020017
  42. Tovo-Rodrigues L, 2024, INT J EPIDEMIOL, V53, DOI 10.1093/ije/dyad156
  43. United States Department of Agriculture (USDA), 2011, NAT NUTR DAT STAND R
  44. Vandevijvere S, 2019, EUR J NUTR, V58, P3267, DOI 10.1007/s00394-018-1870-3
  45. Villar J, 2014, LANCET, V384, P857, DOI 10.1016/S0140-6736(14)60932-6
  46. Wells JCK, 2011, EUR J CLIN NUTR, V65, P1094, DOI 10.1038/ejcn.2011.76
  47. Yang WY, 2018, APPETITE, V125, P90, DOI 10.1016/j.appet.2018.01.037