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Nutrient Intake, Diet Quality, and Weight Measures in Breakfast Patterns Consumed by Children Compared with Breakfast Skippers: NHANES 2001-2008

1 School of Nutrition and Food Sciences, 261 Knapp Hall, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA;
2 USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, 1100 Bates Street; Baylor College of Medicine, Houston, TX 77030, USA;
3 Nutrition Impact, LLC, Battle Creek, MI 49014, USA

Special Issues: Dietary patterns and health: a cardiovascular disease perspective

Most studies showing that children consuming breakfast have better nutrient intakes, diet quality, and lower weight than breakfast skippers have the incorrect premise that breakfast meals are homogeneous.
The purpose of this study was to classify breakfast meals into patterns and determine the association of the breakfast patterns with daily and breakfast nutrient intakes, diet quality, and weight. Data from children (2-18 years of age; N = 14,200) participating in the National Health and Nutrition Examination Survey 2001-2008 were used. Intake was determined from one day 24-hour dietary recalls. Diet quality was measured using the Healthy Eating Index-2005 (HEI-2005). Body mass index (BMI) z-scores were determined. Twelve patterns (including No Breakfast [~19% of population]), explaining 63% of the variance in energy from breakfast, were examined. Covariate adjusted general linear models were used to compare outcome variables of consumers of different patterns with breakfast skippers. The p value was Bonferroni corrected (< 0.05/12 = < 0.0042). Consumers of the Eggs/Grain/Meat, Poultry, Fish (MPF)/Fruit Juice (FJ) and MPF/Grain/FJ patterns showed higher daily intakes of saturated fats, solid fats, and sodium and lower daily intakes of added sugars than breakfast skippers. Consumers of most breakfast patterns showed higher daily intakes of some nutrients of public health concern (dietary fiber, vitamin D, calcium, and potassium); however, those consuming the Grain or MPF/Grain/FJ pattern did not. Consumers of the Grain/Lower Fat Milk (LFM)/Sweets/FJ, Presweetened (PS) Ready-to-eat Cereal (RTEC)/LFM, RTEC/LFM, Cooked Cereal/Milk/FJ, and Whole Fruit patterns had higher total HEI-2005 scores than breakfast skippers; those consuming the MPF/Grain/FJ pattern had lower diet quality than breakfast skippers. Consumption of the Grain/LFM/Sweets/FJ, PSRTEC/whole milk, Soft Drinks/FJ/Grain/Potatoes, RTEC/whole milk, and Cooked Cereal/Milk/FJ patterns was associated with lower BMI z-scores than seen in breakfast skippers. There are dietary and weight advantages of consuming breakfast, especially breakfasts that include grains, cereals, LFM, and fruit/FJ, in contrast to the potential adverse effects of skipping breakfast.
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References

1. Affenito SG, Thompson DR, Barton BA, et al. (2005) Breakfast consumption by African-American and white adolescent girls correlates positively with calcium and fiber intake and negatively with body mass index. J Am Diet Assoc. 105: 938-945.    

2. Matthys C, De HS, Bellemans M, et al. (2007) Breakfast habits affect overall nutrient profiles in adolescents. Public Health Nutr. 10: 413-421.

3. Deshmukh-Taskar PR, Nicklas TA, O'Neil CE, et al. (2110) The relationship of breakfast skipping and type of breakfast consumption with nutrient intake and weight status in children and

4. adolescents: the National Health and Nutrition Examination Survey 1999-2006. J Am Diet Assoc. 110: 869-788

5. Utter J, Scragg R, Mhurchu CN, et al. (2007) At-home breakfast consumption among New Zealand children: associations with body mass index and related nutrition behaviors. J Am Diet Assoc. 107: 570-576.    

6. Papoutsou S, Briassoulis G, Hadjigeorgiou C, et al. (2014) The combination of daily breakfast consumption and optimal breakfast choices in childhood is an important public health message. Int J Food Sci Nutr. 65: 273-279.    

7. Barton BA, Eldridge AL, Thompson D, et al. (2005) The relationship of breakfast and cereal consumption to nutrient intake and body mass index: The National Heart, Lung, and Blood Institute Growth and Health Study. J Am Diet Assoc. 105: 1383-1389.    

8. Timlin MT, Pereira MA, Story M, et al. (2008) Breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens). Pediatrics 121: e638-45.    

9. Sandercock GR, Voss C, Dye L. (2010) Associations between habitual school-day breakfast consumption, body mass index, physical activity and cardiorespiratory fitness in English schoolchildren. Eur J Clin Nutr. 64: 1086-1092.    

10. Baldinger N, Krebs A, Müller R, et al. (2012) Swiss children consuming breakfast regularly have better motor functional skills and are less overweight than breakfast skippers. J Am Coll Nutr. 31: 87-93.    

11. Berkey CS, Rockett HR, Gillman MW, et al. (2003) Longitudinal study of skipping breakfast and weight change in adolescents. Int J Obes Relat Metab Disord. 27: 1258-1266.    

12. Lazarou C, Matalas AL. (2014) Breakfast intake is associated with nutritional status, Mediterranean diet adherence, serum iron and fasting glucose: the CYFamilies study. Public Health Nutr. Oct 7:1-9. [Epub ahead of print]

13. Godin G, Anderson D, Lambert LD, et al. (2005) Identifying factors associated with regular physical activity in leisure time among Canadian adolescents. Am J Health Promo. 20: 20-27.    

14. Maffeis C, Fornari E, Surano MG, et al. (2012) Breakfast skipping in prepubertal obese children: hormonal, metabolic and cognitive consequences. Eur J Clin Nutr. 66: 314-321.    

15. Cooper SB, Bandelow S, Nevill ME. (2011) Breakfast consumption and cognitive function in adolescent schoolchildren. Physiol Behav. 103: 431-439.    

16. United States Department of Agriculture. What We Eat in America 2011-2012. Available from: http://www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/0708/Table_13_BRK_GEN_07.pdf. http://www.ars.usda.gov/Services/docs.htm?docid=18349. Accessed February 25, 2015.

17. Nicklas TA, Morales M, Linares A, et al. (2004) Children's meal patterns have changed over a 21-year period: the Bogalusa Heart Study. J Am Diet Assoc. 104: 753-761.    

18. Lake AA, Mathers JC, Rugg-Gunn AJ, et al. (2006) Longitudinal change in food habits between adolescence (11-12 years) and adulthood (32-33 years): The ASH30 Study. J Public Health (Oxford). 28: 10-16.    

19. Williams PG. (2007) Breakfast and the diets of Australian children and adolescents: an analysis of data from the 1995 National Nutrition Survey. Int J F Sci Nutri. 58: 201-216.    

20. Nicklas TA, Reger C, Myers L, et al. (2000) Breakfast consumption with and without vitamin-mineral supplement use favorably impacts daily nutrient intake of ninth-grade students. J Adolesc Health. 27: 314-321.    

21. Nicklas TA, Bao W, Webber LS, et al. (1993) Breakfast consumption affects adequacy of total daily intake in children. J Am Diet Assoc. 93: 886-891.    

22. Dubois L, Girard M, Potvin Kent M, et al. (2009) Breakfast skipping is associated with differences in meal patterns, macronutrient intakes and overweight among pre-school children. Public Health Nutr. 12: 19-28.    

23. Song WO, Chun OK, Kerver J, et al. (2006) Ready-to-eat breakfast cereal consumption enhances milk and calcium intake in the US population. J Am Diet Assoc. 106: 1783-1789.    

24. Albertson AM, Affenito SG, Bauserman R, et al. (2009) The relationship of ready-to-eat cereal consumption to nutrient intake, blood lipids, and body mass index of children as they age through adolescence. J Am Diet Assoc. 109: 1557-1565.    

25. Albertson AM, Thompson D, Franko DL, et al. (2008) Consumption of breakfast cereal is associated with positive health outcomes: evidence from the National Heart, Lung, and Blood Institute Growth and Health Study. Nutr Res. 28: 744-752.    

26. Albertson AM, Anderson GH, Crockett SJ, et al. (2003) Ready-to-eat cereal consumption: its relationship with BMI and nutrient intake of children aged 4 to 12 years. J Am Diet Assoc. 103: 1613-1619.    

27. Balvin Frantzen L, Treviño RP, Echon RM, et al. (2013) Association between frequency of ready-to-eat cereal consumption, nutrient intakes, and body mass index in fourth- to sixth-grade low-income minority children. J Acad Nutr Diet. 113: 511-519.    

28. Albertson AM, Thompson DR, Franko DL, et al. (2011) Weight indicators and nutrient intake in children and adolescents do not vary by sugar content in ready-to-eat cereal: results from National Health and Nutrition Examination Survey 2001-2006. Nutr Res. 31:229-236.    

29. O'Neil CE, Zanovec M, Nicklas TA, et al. (2012) Pre-Sweetened and Non-Pre-Sweetened Ready-to-Eat Cereals Improve Nutrient Intake and Diet Quality without Increasing Body Weight of Children and Adolescents: The National Health and Nutrition Examination Survey 1999-2002. Am J Lifestyle Medicine. 6: 60-71.

30. Miller KB, Liska DJ, Fulgoni VL. (2013) The Association Between Body Metrics and Breakfast Food Choice in Children. ICAN: Infant, Child, & Adolescent Nutrition. 5: 43-50.

31. O'Neil CE, Nicklas TA, Fulgoni VL 3rd. (2014) Nutrient intake, diet quality, and weight/adiposity parameters in breakfast patterns compared with no breakfast in adults: National Health and Nutrition Examination Survey 2001-2008. J Acad Nutr Diet. 114(12 Suppl):S27-43.

32. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey. NHANES 2007-2008 Public Data General Release File Documentation, 2009. Available at: http://www.cdc.gov/nchs/nhanes/nhanes2007-2008/generaldoc_e.htm. Accessed March 5, 2015.

33. United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey, 2013-2014. Available at: http://www.cdc.gov/nchs/data/nhanes/nhanes_13_14/2013-14_overview_brochure.pdf. Accessed March 5, 2015.

34. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey. Questionnaires, Datasets, and Related Documentation. Available at: http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm. Accessed March 5, 2015.

35. United States Department of Health and Human Services. Centers for Disease Control and Prevention. National Center for Health Statistics. National Health and Nutrition Examination Survey, NHANES Response Rates and Population Totals. Available at: http://www.cdc.gov/nchs/nhanes/response_rates_cps.htm.

36. Centers for Disease Control and Prevention, National Center for Health Statistics. The National Health and Nutrition Examination Survey (NHANES) analytic and reporting guidelines. Available at: http://www.cdc.gov/nchs/nhanes/analytic_guidelines.htm. Accessed March 5, 2015.

37. NHANES: Is my survey information confidential? Available at: http://www.cdc.gov/nhanes/pQuestions.htm#. Accessed March 5, 2015.

38. US Department of Health & Human Services. Office of Extramural Research. Available at: http://grants.nih.gov/grants/policy/hs/hs_policies.htm. Accessed March 5, 2015.

39. Centers for Disease Control and Prevention, National Center for Health Statistics. The National Health and Nutrition Examination Survey 2007-2008 Data Documentation, Codebook, and Frequencies. Demographic variables and sample weights. Available at: http://www.cdc.gov/nchs/nhanes/nhanes2007-2008/demo_e.htm. Accessed March 5, 2011.

40. Moshfegh AJ, Rhodes DG, Baer DJ, et al. (2008) The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr. 88:324-332.

41. Blanton CA, Moshfegh AJ, Baer DJ, et al. (2006) The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intake. J Nutr. 136:2594-2599.

42. NHANES. MEC In-Person Dietary Interviewer's Procedure Manual. Available at: http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/DIETARY_MEC.pdf. Accessed March 5, 2015.

43. The United States Department of Agriculture. Agricultural Research Service. Food and Nutrient Database for Dietary Studies. Available at: http://www.ars.usda.gov/services/docs.htm?docid=12089. Accessed March 4, 2015.

44. U.S. Department of Agriculture, Food and Nutrition Service. WIC Food Packages - Regulatory Requirements for WIC-Eligible Foods. Breakfast Cereals. Available at: http://www.fns.usda.gov/wic/wic-food-packages-regulatory-requirements-wic-eligible-foods#BREAKFAST CEREAL. Accessed March 5, 2015.

45. U.S. Food and Drug Administration Code of Federal Regulations. Title 21. Department of Health and Human Services website. Available at: http://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?fr=101.30 Accessed March 5, 2015.

46. United States Department of Agriculture. Choose MyPlate. Available at: http://www.choosemyplate.gov/weight-management-calories/calories/added-sugars.html. Accessed March 3, 2015.

47. Friday JE, Bowman SA. MyPyramid Equivalents Database for USDA Survey Food Codes, 1994-2002, Version 1.0. Available at: http://www.ars.usda.gov/SP2UserFiles/Place/80400530/pdf/mped/mped1_doc.pdf. Accessed March 5, 2015.

48. Bowman SA, Friday JE, Moshfegh A. MyPyramid Equivalents Database, 2.0 for USDA Survey Foods, 2003-2004. 2008. Available at: http://www.ars.usda.gov/SP2UserFiles/Place/80400530/pdf/mped/mped2_doc.pdf. Accessed March 5, 2015.

49. United States Department of Agriculture. 2010 Dietary Guidelines for Americans. Available at: http://www.cnpp.usda.gov/DGAs2010-PolicyDocument.htm. Accessed March 5, 2015.

50. Guenther PM, Reedy J, Krebs-Smith SM, et al. (2007). Development and Evaluation of the Healthy Eating Index-2005: Technical Report. Center for Nutrition Policy and Promotion, U.S. Department of Agriculture. Available at: http://www.cnpp.usda.gov/sites/default/files/healthy_eating_index/HEI-2005TechnicalReport.pdf. Accessed March 5, 2015.

51. U.S. Department of Agriculture, Center for Nutrition Policy and Promotion. HEI2005_NHANES0102.txt. Available at: http://www.cnpp.usda.gov/HealthyEatingIndex-2005report.htm. Accessed October 4, 2011.

52. National Health and Nutrition Examination Survey. Anthropometry Procedures Manual. Revised 2004. http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/BM.pdf. Accessed March 5, 2015.

53. Centers of Disease Control and Prevention. 2000 CDC Growth Charts for the United States: Methods and Development. V H S. 2002; 11: 246.

54. Centers for Disease Control and Prevention. Defining Childhood Overweight and Obesity. Available at: http://www.cdc.gov/obesity/childhood/defining.html. Accessed March 5, 2015.

55. NHANES. Physical Activity and Physical Fitness. http://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/paq07_08_eng.pdf. Accessed March 5, 2015.

56. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Panel on Macronutrients. National Academy of Sciences. Institute of Medicine of the National Academies. Available at: http://www.nal.usda.gov/fnic/DRI/DRI_Energy/energy_full_report.pdf. Accessed March 5, 2015.

57. Dietary Reference Intakes: Water, Potassium, Sodium, Chloride, and Sulfate. National Academy of Sciences. Institute of Medicine of the National Academies. Available at: http://www.iom.edu/Reports/2004/Dietary-Reference-Intakes-Water-Potassium-Sodium-Chloride-and-Sulfate.aspx. Accessed March 5, 2015.

58. Monteagudo C, Palacin-Arce A, Bibiloni Mdel M, et al. (2013)Proposal for a Breakfast Quality Index (BQI) for children and adolescents. Public Health Nutr. 16: 639-644.

59. Giovannini M, Verduci E, Scaglioni S, et al. (2008) Breakfast: a Good Habit, not a Repetitive Custom. J Intl Med Res. 36: 613-624.    

60. Harmon BE, Boushey CJ, Shvetsov YB, et al. (2015) Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project. Am J Clin Nutr. 101: 587-597.    

61. Reedy J, Krebs-Smith SM, Miller PE, et al. (2014) Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr. 144: 881-889.    

62. Schwingshackl L, Hoffmann G. Diet Quality as Assessed by the Healthy Eating Index, the Alternate Healthy Eating Index, the Dietary Approaches to Stop Hypertension Score, and Health Outcomes: A Systematic Review and Meta-Analysis of Cohort Studies. J Acad Nutr Diet. 2015 Feb 10. pii: S2212-2672(14)01871-1.

63. Golley RK, Hendrie GA, McNaughton SA. (2011) Scores on the dietary guideline index for children and adolescents are associated with nutrient intake and socio-economic position but not adiposity. J Nutr. 141: 1340-1347.    

64. Cuenca-García M, Ortega FB, Ruiz JR, et al. (2014) Combined influence of healthy diet and active lifestyle on cardiovascular disease risk factors in adolescents. Scand J Med Sci Sports. 24: 553-562.    

65. Küpers LK, de Pijper JJ, Sauer PJ, et al. (2014) Skipping breakfast and overweight in 2- and 5-year-old Dutch children-the GECKO Drenthe cohort. Int J Obes (Lond). 38: 569-571.    

66. Fernández Morales I, Aguilar Vilas MV, Mateos Vega CJ, et al. (2011) Breakfast quality and its relationship to the prevalence of overweight and obesity in adolescents in Guadalajara (Spain). Nutr Hosp. 26: 952-958.

67. Cho S, Dietrich M, Brown CJ, et al. (2003) The effect of breakfast type on total daily energy intake and body mass index: results from the Third National Health and Nutrition Examination Survey (NHANES III). J Am Coll Nutr. 22: 296-302.    

68. Brown AW, Bohan Brown MM, Allison DB. (2013) Belief beyond the evidence: using the proposed effect of breakfast on obesity to show 2 practices that distort scientific evidence. Am J Clin Nutr. 98: 1298-308.    

69. Thompson FE, Byers T. (1994) Dietary assessment resource manual. J Nutr. 124(11 Suppl): 2245S-2317S.

70. Basch CE, Shea S, Arliss R, et al. (1990) Validation of mothers' reports of dietary intake by four to seven year-old children. Am J Public Health. 80: 1314-1317.    

71. Baranowski T, Sprague D, Baranowski JH, et al. (1991) Accuracy of maternal dietary recall for preschool children. J Am Diet Assoc. 91: 669-674.

72. Schoeller DA. (1990) How accurate is self-reported dietary energy intake? Nutr Rev. 48:373-379.

73. Dodd KW, Guenther PM, Freedman LS, et al. (2006) Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc. 106: 1640-1650.    

74. Nicklas TA, O'Neil CE, Fulgoni VL 3rd. Differing statistical approaches affect the relation between egg consumption, adiposity, and cardiovascular risk factors in adults. J Nutr. 2015;145(1): 170S-176S.

75. Freeland-Graves J, Nitzke S. (2013) Position of the Academy of Nutrition and Dietetics: Total diet approach to healthy eating. J Acad Nutr Diet. 113, 307-317.

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