Effects of dietary intake patterns from 1 to 4years on BMI z-score and body shape at age of 6 years: a prospective birth cohort study from Brazil

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Citações na Scopus
2
Tipo de produção
article
Data de publicação
2019
Título da Revista
ISSN da Revista
Título do Volume
Editora
SPRINGER HEIDELBERG
Autores
SANTOS, Leonardo Pozza
ONG, Ken K.
SANTOS, Ina S.
BARROS, Aluisio J. D.
Citação
EUROPEAN JOURNAL OF NUTRITION, v.58, n.4, p.1723-1734, 2019
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
PurposeTo assess the association between dietary intake patterns from 1 to 4years and BMI and body shape at age of 6years.MethodsThis longitudinalstudy was based on3374 Brazilian children from the 2004 Pelotas Birth Cohort Study. We used previously described dietary patterns from 1 to 4years as the main exposure. We defined body shape using scores for corpulence (a recently described body shape component measured by Photonic Scanner), and trunk and gynoid fat mass percentage from DXA. We run linear regression models to evaluate the associations between dietary patterns from 1 to 4years and BMI and body shape at 6years.ResultsSeveral apparent associations between dietary patterns and BMI or body shape were explained by sociodemographic factors. High adherence to snacks (positive loadings to coffee, bread and cookies) at 4years predicted lower BMI, but higher gynoid fat mass percentage at 6 years, while higher adherence to staple at 2years (positive loadings to rice and beans) predicted higher trunk fat mass and lower gynoid fat mass. Finally, higher scores on milks at 1year (positive loading to breast milk) predicted higher gynoid fat mass at 6years.ConclusionThere were inconsistent associations between dietary patterns in infancy and early childhood and BMI and body shape at 6years. In adjusted analyses, higher adherence to breast milk at 1year and to snacks at 4years appeared to be beneficial for body shape, associated with lower BMI, but higher peripheral fat.
Palavras-chave
Diet, Food intake, Body mass index, Body shape
Referências
  1. Rivera JA, 2014, LANCET DIABETES ENDO, V2, P321, DOI 10.1016/S2213-8587(13)70173-6
  2. [Anonymous], 2010, PESQ ORC FAM 2008 20
  3. Araujo Cora L, 2004, Food Nutr Bull, V25, pS53
  4. Barros AJD, 2005, REV SAUDE PUBL, V39, P523, DOI 10.1590/s0034-89102005000400002
  5. Barros AJD, 2006, REV SAUDE PUBL, V40, P402, DOI 10.1590/s0034-89102006000300007
  6. Bermudez Odilia I., 2003, Cad. Saúde Pública, V19, pS87, DOI 10.1590/S0102-311X2003000700010
  7. Burrows TL, 2013, CLIN NUTR, V32, P613, DOI 10.1016/j.clnu.2012.11.006
  8. Cerhan JR, 2014, MAYO CLIN PROC, V89, P335, DOI 10.1016/j.mayocp.2013.11.011
  9. Craig LCA, 2010, BRIT J NUTR, V103, P319, DOI 10.1017/S0007114509991942
  10. Cutler GJ, 2012, BRIT J NUTR, V108, P349, DOI 10.1017/S0007114511005435
  11. de Onis M, 2007, B WORLD HEALTH ORGAN, V85, P660, DOI 10.2471/BLT.07.043497
  12. Fields DA, 2002, AM J CLIN NUTR, V75, P453
  13. Gatica G, 2012, INT J BEHAV NUTR PHY, V9, DOI 10.1186/1479-5868-9-43
  14. Habicht J P, 1974, Bol Oficina Sanit Panam, V76, P375
  15. Hu FB, 2002, CURR OPIN LIPIDOL, V13, P3, DOI 10.1097/00041433-200202000-00002
  16. Jennings A, 2011, J NUTR, V141, P453, DOI 10.3945/jn.110.131441
  17. Lefebvre CM, 2014, J AM ASSOC NURSE PRA, V26, P386, DOI [10.1111/2327-6924.12036, 10.1002/2327-6924.12036]
  18. Lindsay RS, 2001, J CLIN ENDOCR METAB, V86, P4061, DOI 10.1210/jc.86.9.4061
  19. Lioret S, 2015, J NUTR, V145, P775, DOI 10.3945/jn.114.201988
  20. Lotta LA, 2017, NAT GENET, V49, P17, DOI 10.1038/ng.3714
  21. Mikkila V, 2005, BRIT J NUTR, V93, P923, DOI 10.1079/BJN20051418
  22. Northstone K, 2008, BRIT J NUTR, V100, P1069, DOI 10.1017/S0007114508968264
  23. O'Connor L, 2015, BRIT J NUTR, V114, P1286, DOI 10.1017/S000711451500269X
  24. Pala V, 2013, EUR J CLIN NUTR, V67, P1042, DOI 10.1038/ejcn.2013.145
  25. Pietrobelli A, 1998, J PEDIATR-US, V132, P204, DOI 10.1016/S0022-3476(98)70433-0
  26. Popkin BM, 2012, NUTR REV, V70, P3, DOI 10.1111/j.1753-4887.2011.00456.x
  27. Popkin BM, 2001, J NUTR, V131, p871S
  28. Robinson SM, 2009, J CLIN ENDOCR METAB, V94, P2799, DOI 10.1210/jc.2009-0030
  29. Sainani KL, 2009, PM&R, V1, P1098, DOI 10.1016/j.pmrj.2009.10.004
  30. Santos IS, 2014, INT J EPIDEMIOL, V43, P1437, DOI 10.1093/ije/dyu144
  31. Santos LP, 2016, INT J OBESITY, V40, P1012, DOI 10.1038/ijo.2016.30
  32. Santos LP, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-3725-2
  33. Shroff MR, 2014, PUBLIC HEALTH NUTR, V17, P1507, DOI 10.1017/S136898001300133X
  34. Smith ADAC, 2014, FOOD NUTR RES, V58, DOI 10.3402/fnr.v58.22769
  35. Snijder MB, 2004, DIABETES CARE, V27, P372, DOI 10.2337/diacare.27.2.372
  36. Snijder MB, 2005, DIABETOLOGIA, V48, P301, DOI 10.1007/s00125-004-1637-7
  37. Varraso R, 2012, AM J CLIN NUTR, V96, P1079, DOI 10.3945/ajcn.112.038109
  38. Voortman T, 2016, EUR J EPIDEMIOL, V31, P775, DOI 10.1007/s10654-016-0179-x
  39. Wang J, 2006, AM J CLIN NUTR, V83, P3
  40. Wells JCK, 2010, INT J OBESITY, V34, P649, DOI 10.1038/ijo.2009.249
  41. Wells JCK, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124193
  42. Yang M, 2016, ASIA PAC J CLIN NUTR, V25, P798, DOI 10.6133/apjcn.092015.35