Provision of healthy school meals does not affect the metabolic syndrome score in 8-11-year-old children, but reduces cardiometabolic risk markers despite increasing waist circumference

British Journal of Nutrition

Volumn 112, Issue 11, 2014, Pages 1826-1836

  Damsgaard, Camilla T ^a   Dalskov, Stine Mathilde ^a   Laursen, Rikke P ^a   Ritz, Christian ^a   Hjorth, Mads F ^a   Lauritzen, Lotte ^a   Sørensen, Louise B ^a   Petersen, Rikke A ^a   Andersen, Malene R ^b   Stender, Steen ^b   Andersen, Rikke ^c   Tetens, Inge ^c   Mølgaard, Christian ^a   Astrup, Arne ^a   Michaelsen, Kim F ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Body composition; Children; Dietary interventions; Metabolic syndrome; School meals

Indexed keywords

HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ARTERIAL PRESSURE; ARTICLE; CARDIOMETABOLIC RISK; CHILD; CHOLESTEROL BLOOD LEVEL; CONTROLLED STUDY; CROSSOVER PROCEDURE; DIET; DIET RESTRICTION; DIET THERAPY; DIETARY FIBER; DIETARY INTAKE; FEMALE; FISH; HUMAN; MAJOR CLINICAL STUDY; MALE; MEAL; METABOLIC SYNDROME X; NEW NORDIC DIET; PHYSICAL ACTIVITY; RANDOMIZED CONTROLLED TRIAL; RISK REDUCTION; SCHOOL CHILD; SCHOOL MEAL; SCORING SYSTEM; VEGETABLE; WAIST CIRCUMFERENCE; BLOOD; BLOOD PRESSURE; BODY MASS; CHILD NUTRITION; CLINICAL TRIAL; DENMARK; INSULIN RESISTANCE; MULTICENTER STUDY; RISK FACTOR; SCHOOL HEALTH SERVICE;

BLOOD PRESSURE; BODY MASS INDEX; CHILD; CHILD NUTRITIONAL PHYSIOLOGICAL PHENOMENA; CHOLESTEROL, HDL; CROSS-OVER STUDIES; DENMARK; DIET; FEMALE; HUMANS; INSULIN RESISTANCE; MALE; MEALS; METABOLIC SYNDROME X; RISK FACTORS; SCHOOL HEALTH SERVICES; TRIGLYCERIDES; WAIST CIRCUMFERENCE;

EID: 84924932802     PISSN: 00071145     EISSN: 14752662     Source Type: Journal    
DOI: 10.1017/S0007114514003043     Document Type: Article

References (62)

1. Duncan GE, Li SM & Zhou XH (2004) Prevalence and trends of a metabolic syndrome phenotype among U.S. adolescents, 1999-2000. Diabetes Care 27, 2438-2443.
2. Eisenmann JC (2008) On the use of a continuous metabolic syndrome score in pediatric research. Cardiovasc Diabetol 7, 17.
3. Centers for Disease Control and Prevention (1997) Guidelines for school health programs to promote lifelong healthy eating. J Sch Health 67, 9-26.
4. National Food Institute (2010) Danskernes Kostvaner 2003-2008. Hovedresultater (Dietary Habits in Denmark 2003-2008. Main Results). Søborg: Rosendahls - Schultz Grafisk A/S. http://www.orbit.dtu.dk/fedora/objects/orbit: 113040/datastreams/file-9784886/content
5. UK Department of Health (2011) National Diet and Nutrition Survey. Headline Results from Years 1 and 2 (Combined) of the Rolling Programme (2008/2009-2009/10). London: Department of Health. https://www.gov.uk/government/publications/national-diet-and-nutrition-surveyheadline-results-from-years-1-and-2-combined-of-the-rollingprogramme-2008-9-2009-10
6. Australian Government and Australian Food and Grocery Council (2008) 2007 Australian National Children's Nutrition and Physical Activity Survey. Main Findings. Canberra, Australia: Commonwealth of Australia. http://www.health.gov.au/internet/main/publishing.nsf/Content/8F4516D5FAC0700ACA257BF0001E0109/$File/childrens-nutphys-survey.pdf
7. Hoppe C, Biltoft-Jensen A, Trolle E, et al. (2009) Beskrivelse af 8- til 10-a° rige og 12- til 14-a° rige børns kost (Dietary Habits of Danish 8- to 10-Year-Old and 12- to 14-Year-Old Children). Søborg: National Food Institute.
8. Arbeit ML, Johnson CC, Mott DS, et al. (1992) The Heart Smart cardiovascular school health promotion: behavior correlates of risk factor change. Prev Med 21, 18-32.
9. Luepker RV, Perry CL, McKinlay SM, et al. (1996) Outcomes of a field trial to improve children's dietary patterns and physical activity. The Child and Adolescent Trial for Cardiovascular Health. CATCH collaborative group. JAMA 275, 768-776.
10. Sahota P, Rudolf MC, Dixey R, et al. (2001) Randomised controlled trial of primary school based intervention to reduce risk factors for obesity. BMJ 323, 1029-1032.
11. Sallis JF, McKenzie TL, Conway TL, et al. (2003) Environmental interventions for eating and physical activity: a randomized controlled trial in middle schools. Am J Prev Med 24, 209-217.
12. Caballero B, Clay T, Davis SM, et al. (2003) Pathways: a school-based, randomized controlled trial for the prevention of obesity in American Indian schoolchildren. Am J Clin Nutr 78, 1030-1038.
13. Williamson DA, Copeland AL, Anton SD, et al. (2007) Wise Mind project: a school-based environmental approach for preventing weight gain in children. Obesity (Silver Spring) 15, 906-917.
14. Hollar D, Lombardo M, Lopez-Mitnik G, et al. (2010) Effective multi-level, multi-sector, school-based obesity prevention programming improves weight, blood pressure, and academic performance, especially among low-income, minority children. J Health Care Poor Underserved 21, 93-108.
15. Foster GD, Linder B, Baranowski T, et al. (2010) A schoolbased intervention for diabetes risk reduction. N Engl J Med 363, 443-453.
16. Singhal N, Misra A, Shah P, et al. (2010) Effects of controlled school-based multi-component model of nutrition and lifestyle interventions on behavior modification, anthropometry and metabolic risk profile of urban Asian Indian adolescents in North India. Eur J Clin Nutr 64, 364-373.
17. Trevino RP, Yin Z, Hernandez A, et al. (2004) Impact of the Bienestar school-based diabetes mellitus prevention program on fasting capillary glucose levels: a randomized controlled trial. Arch Pediatr Adolesc Med 158, 911-917.
18. Mithril C, Dragsted LO, Meyer C, et al. (2013) Dietary composition and nutrient content of the New Nordic Diet. Public Health Nutr 16, 777-785.
19. Mithril C, Dragsted LO, Meyer C, et al. (2012) Guidelines for the New Nordic Diet. Public Health Nutr 15, 1941-1947.
20. Olsen A, Egeberg R, Halkjaer J, et al. (2011) Healthy aspects of the Nordic diet are related to lower total mortality. J Nutr 141, 639-644.
21. Adamsson V, Reumark A, Fredriksson IB, et al. (2011) Effects of a healthy Nordic diet on cardiovascular risk factors in hypercholesterolaemic subjects: a randomized controlled trial (NORDIET). J Intern Med 269, 150-159.
22. de Mello VD, Schwab U, Kolehmainen M, et al. (2011) A diet high in fatty fish, bilberries and wholegrain products improves markers of endothelial function and inflammation in individuals with impaired glucose metabolism in a randomised controlled trial: the Sysdimet study. Diabetologia 54, 2755-2767.
23. Damsgaard CT, Dalskov SM, Petersen RA, et al. (2012) Design of the OPUS School Meal Study: a randomised controlled trial assessing the impact of serving school meals based on the New Nordic Diet. Scand J Public Health 40, 693-703.
24. Nordic Council of Ministers (2004) Nordic Nutrition Recommendations 2004. Copenhagen: Norden.
25. Statistics Denmark (2012) Forspalte 1 - uddannelsesnomenklatur (Standard Classifications of Education). Copenhagen Denmark: Statistics Denmark. http://www.dst.dk/da/Statistik/dokumentation/Nomenklaturer/Forspalter. aspx (accessed 20 September 2013).
26. Biltoft-Jensen A, Bysted A, Trolle E, et al. (2013) Evaluation of Web-based Dietary Assessment Software for Children: comparing reported fruit, juice and vegetable intakes with plasma carotenoid concentration and school lunch observations. Br J Nutr 110, 186-195.
27. Biltoft-Jensen A, Trolle E, Christensen T, et al. (2012) WebDASC: a web-based dietary assessment software for 8-11-year-old Danish children. J Hum Nutr Diet 27, Suppl. 1, 43-53.
28. Biltoft-Jensen A, Hjorth MF, Trolle E, et al. (2013) Comparison of estimated energy intake using Web-based Dietary Assessment Software with accelerometer-determined energy expenditure in children. Food Nutr Res 57.
29. National Food Institute (2009) Danish Food Composition Databank, version 7.01. National Food Institute, Søborg, Denmark http://www.foodcomp.dk/v7/fcdb-default.aspx (accessed 20 September 2013).
30. Henry CJ (2005) Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr 8, 1133-1152.
31. Black AE (2000) The sensitivity and specificity of the Goldberg cut-off for EI:BMR for identifying diet reports of poor validity. Eur J Clin Nutr 54, 395-404.
32. Hjorth MF, Chaput JP, Michaelsen K, et al. (2013) Seasonal variation in objectively measured physical activity, sedentary time, cardio-respiratory fitness and sleep duration among 8-11 year-old Danish children: a repeated-measures study. BMC Public Health 13, 808.
33. Trost SG, Loprinzi PD, Moore R, et al. (2011) Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc 43, 1360-1368.
34. Ekelund U, Luan J, Sherar LB, et al. (2012) Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA 307, 704-712.
35. World Health Organization (2012) WHO Anthroplus Macros for STATA. http://www.who.int/growthref/tools/en/ (accessed 20 September 2013).
36. Cole TJ, Bellizzi MC, Flegal KM, et al. (2000) Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 320, 1240-1243.
37. Cole TJ, Flegal KM, Nicholls D, et al. (2007) Body mass index cut offs to define thinness in children and adolescents: international survey. BMJ 335, 194.
38. Van Itallie TB, Yang MU, Heymsfield SB, et al. (1990) Heightnormalized indices of the body's fat-free mass and fat mass: potentially useful indicators of nutritional status. Am J Clin Nutr 52, 953-959.
39. Friedewald WT, Levy RI & Fredrickson DS (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18, 499-502.
40. Zimmet P, Alberti KG, Kaufman F, et al. (2007) The metabolic syndrome in children and adolescents - an IDF consensus report. Pediatr Diabetes 8, 299-306.
41. Gobel RJ, Jensen SM, Frokiaer H, et al. (2012) Obesity, inflammation and metabolic syndrome in Danish adolescents. Acta Paediatr 101, 192-200.
42. Demidenko E & Stukel TA (2005) Influence analysis for linear mixed-effects models. Stat Med 24, 893-909.
43. Carlin JB, Gurrin LC, Sterne JA, et al. (2005) Regression models for twin studies: a critical review. Int J Epidemiol 34, 1089-1099.
44. Min YY & Agresti A (2005) Random effect models for repeated measures of zero-inflated count data. Stat Model 5, 1-19.
45. White IR & Thompson SG (2005) Adjusting for partially missing baseline measurements in randomized trials. Stat Med 24, 993-1007.
46. Ambrosini GL, Huang RC, Mori TA, et al. (2010) Dietary patterns and markers for the metabolic syndrome in Australian adolescents. Nutr Metab Cardiovasc Dis 20, 274-283.
47. Morrison JA, Friedman LA, Wang P, et al. (2008) Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr 152, 201-206.
48. Webber LS, Srinivasan SR, Wattigney WA, et al. (1991) Tracking of serum lipids and lipoproteins from childhood to adulthood. The Bogalusa Heart Study. Am J Epidemiol 133, 884-899.
49. Juhola J, Magnussen CG, Viikari JS, et al. (2011) Tracking of serum lipid levels, blood pressure, and body mass index from childhood to adulthood: the Cardiovascular Risk in Young Finns Study. J Pediatr 159, 584-590.
50. Eschwege E, Richard JL, Thibult N, et al. (1985) Coronary heart disease mortality in relation with diabetes, blood glucose and plasma insulin levels. The Paris Prospective Study, ten years later. Horm Metab Res Suppl 15, 41-46.
51. Stokes J III, Kannel WB, Wolf PA, et al. (1989) Blood pressure as a risk factor for cardiovascular disease. The Framingham Study - 30 years of follow-up. Hypertension 13, I13-I18.
52. Criqui MH, Heiss G, Cohn R, et al. (1993) Plasma triglyceride level and mortality from coronary heart disease. N Engl J Med 328, 1220-1225.
53. Cook NR, Cohen J, Hebert PR, et al. (1995) Implications of small reductions in diastolic blood pressure for primary prevention. Arch Intern Med 155, 701-709.
54. Lewington S, Whitlock G, Clarke R, et al. (2007) Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths. Lancet 370, 1829-1839.
55. Brambilla P, Bedogni G, Moreno LA, et al. (2006) Crossvalidation of anthropometry against magnetic resonance imaging for the assessment of visceral and subcutaneous adipose tissue in children. Int J Obes (Lond) 30, 23-30.
56. Canoy D, Boekholdt SM, Wareham N, et al. (2007) Body fat distribution and risk of coronary heart disease in men and women in the European Prospective Investigation Into Cancer and Nutrition in Norfolk cohort: a population-based prospective study. Circulation 116, 2933-2943.
57. Lauer RM, Obarzanek E, Hunsberger SA, et al. (2000) Efficacy and safety of lowering dietary intake of total fat, saturated fat, and cholesterol in children with elevated LDL cholesterol: the Dietary Intervention Study in Children. Am J Clin Nutr 72, 1332S-1342S.
58. Pedersen MH, Molgaard C, Hellgren LI, et al. (2010) Effects of fish oil supplementation on markers of the metabolic syndrome. J Pediatr 157, 395-400, 400.e1.
59. Harris WS (1997) n-3 Fatty acids and serum lipoproteins: human studies. Am J Clin Nutr 65, 1645S-1654S.
60. Pearson S, Hansen B, Sorensen TI, et al. (2010) Overweight and obesity trends in Copenhagen schoolchildren from 2002 to 2007. Acta Paediatr 99, 1675-1678.
61. Statistics Denmark (2012) Indvandrere i Danmark (Immigrants in Denmark). Copenhagen: Rosendahls - Schultz Grafisk A/S. http://www.dst.dk/pukora/epub/upload/16601/indv.pdf
62. Andersen R, Biltoft-Jensen A, Christensen T, et al. (2014) Dietary effects of introducing school meals based on the New Nordic Diet - a randomised controlled trial in Danish children. The OPUS School Meal Study. Br J Nutr (Epublication ahead of print version 8 April 2014).