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Open Access 01-12-2012 | Research

Ten-week lifestyle changing program reduces several indicators for metabolic syndrome in overweight adults

Authors: Marita S Mecca, Fernando Moreto, Franz HP Burini, Reinaldo C Dalanesi, Kátia CP McLellan, Roberto C Burini

Published in: Diabetology & Metabolic Syndrome | Issue 1/2012

Abstract

We aim to investigate the effectiveness of a 10-week lifestyle intervention focusing on physical activity and high fiber intake for reducing indicators for metabolic syndrome in overweight-obese individuals. A prospective study of 50 overweight (OW) adults (22 in the general educational group - G1; 28 in the high fiber nutrition group - G2) was performed. Both groups were offered dietary counseling and supervised exercise. Clinical, anthropometric, dietary and plasma biochemical tests were performed at baseline - time 0 (T0) and after 10 weeks - time 1 (T1). Both groups improved their dietary quality, but only G2 presented higher intake of fruit and vegetables (servings/day), higher plasma β-carotene levels and a 24% reduction of MetS incidence. Additionally G2 showed greater reductions in body fat (4%), and waist circumference (7%), obesity class III (2%) and obesity class II (14%) rate. Lifestyle intervention, including a high dietary fiber intake, improved healthy eating index and decreased body fat composition and plasma lipid concentrations leading to MetS incidence reduction.

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Moller DE, Kaufman KD: Metabolic syndrome: a clinical and molecular perspective. Annu Rev Med. 2005, 56: 45-62. 10.1146/annurev.med.56.082103.104751.CrossRefPubMed

National Cholesterol Education Program: Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in adults (Adult Treatment Panel III) final report. Circulation. 2002, 106: 3143-421.

Reaven G: Characteristics of metabolic syndrome. Endocrinol Metab. 1995, 2 (Suppl B): 37-42.

Stewart KJ, Bacher AC, Turner K, Lim JG, Hees PS, Shapiro EP, Tayback M, Ouyang P: Exercise and risk factors associated with metabolic syndrome in older adults. Am J Prev Med. 2005, 28: 9-18. 10.1016/j.amepre.2004.09.006.CrossRefPubMed

Devaraj S, Rosenson RS, Jialal I: Metabolic syndrome: an appraisal of the pro-inflammatory and procoagulant status. Endocrinol Metab Clin North Am. 2004, 33: 431-53. 10.1016/j.ecl.2004.03.008.CrossRefPubMed

Hansel B, Giral P, Nobecourt E, Chantepie S, Bruckert E, Chapman MJ, Kontush A: Metabolic syndrome is associated with elevated oxidative stress and dysfunctional dense high-density lipoprotein particles displaying impaired antioxidative activity. J Clin Endocrinol Metab. 2004, 89: 4963-71. 10.1210/jc.2004-0305.CrossRefPubMed

Finley CE, La Monte MJ, Waslien CI, Barlow CE, Blair SN, Nichaman MZ: Cardiorespiratory fitness, macronutrient intake, and the metabolic syndrome: the Aerobics Center Longitudinal Study. J Am Med Assoc. 2006, 106: 673-97.

Saltin B, Helge JW: Metabolic capacity of skeletal muscles and health. Ugeskr Laeger. 2000, 162: 2159-64.PubMed

Assmann G, Guerra R, Fox G, Cullen P, Schulte H, Willett D, Grundy SM: Harmonizing the definition of the metabolic syndrome: comparison of the criteria of the Adult Treatment Panel III and International Diabetes Federation in United States American and European populations. Am J Cardiol. 2007, 99: 541-8. 10.1016/j.amjcard.2006.08.045.CrossRefPubMed

10.

Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC, Spertus JA, Costa F: Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005, 112: 2735-52. 10.1161/CIRCULATIONAHA.105.169404.CrossRefPubMed

11.

Groop L: Genetics of the metabolic syndrome. Br J Nutr. 2000, 83 (Suppl 1): S39-48.PubMed

12.

Szabo DE, Edelenyi F, Goumidi L, Bertraiss S, Philips C, MacManus R, Roche H, Planells R, Lairon D: Prediction of the metabolic syndrome status based on dietary and genetic parameters, using Random Forest. Genes Nutr. 2008, 3: 173-6. 10.1007/s12263-008-0097-y.CrossRef

13.

Gami AS, Witt BJ, Howard DE, Erwin PJ, Gami LA, Somers VK, Montori VM: Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol. 2007, 49: 403-13. 10.1016/j.jacc.2006.09.032.CrossRefPubMed

14.

Katzmarzyk PT, Church TS, Blair SN: Cardiorespiratory fitness attenuates the effects of the metabolic syndrome on all-cause and cardiovascular disease mortality in men. Arc Intern Med. 2004, 164: 1092-97. 10.1001/archinte.164.10.1092.CrossRef

15.

Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomolehto J, Salonen JT: The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002, 288: 2709-16. 10.1001/jama.288.21.2709.CrossRefPubMed

16.

Grundy SM, Hansen B, Smith SC, Cleeman JL, Kahn RA: American Heart Association, National Heart, Lung, and Blood Institute, American Diabetes Association - Clinical management of metabolic syndrome: report of the American Heart Association/National Heart, Lung, and Blood Institute/American Diabetes Association conference on scientific issues related to management. Circulation. 2004, 109: 551-56. 10.1161/01.CIR.0000112379.88385.67.CrossRefPubMed

17.

Hildrum B, Mykletun A, Hole T, Midthjell K, Dahl AA: Age-specific prevalence of the metabolic syndrome defined by the International Diabetes Federation and the National Cholesterol Education Program: the Norwegian HUNT 2 study. BMC Public Health. 2007, 7: 220-10.1186/1471-2458-7-220.PubMedCentralCrossRefPubMed

18.

Pettman TL, Buckley JD, Misan GMH, Coates AM, Howe PRC: Health benefits of a 4-mo groups-based diet and lifestyle modification program for individuals with metabolic syndrome. Obes Res Clin Pract. 2009, doi: 10.1016/j.orcp2009.06.002

19.

Stensvold D, Tjonna AE, Skang E, Aspenes S, Stolen T, Wisloff U, Stordahl SA: Strength training versus aerobic interval training to modify risk factors of metabolic syndrome. J Appl Physiol. 2010, 108: 804-10. 10.1152/japplphysiol.00996.2009.CrossRefPubMed

20.

Burton-Freeman B: Dietary composition and obesity: do we need to look beyond dietary fat?. J Nutr. 2000, 130: S272-5.

21.

Slavin JL: Dietary fiber and body weight. Nutr. 2005, 21: 411-8. 10.1016/j.nut.2004.08.018.CrossRef

22.

Schulz M, Nothlings U, Hoffman K, Bergmann MM, Boeing H: Identification of a food pattern characterized by high-fiber and low-fat food choices associated with low prospective weight change in the EPIC. Postdam cohort. J Nutr. 2005, 135: 1183-9.PubMed

23.

Portero-McLellan KC, Pimentel GD, Corrente JE, Burini RC: Association of fat intake and socioeconomic status on anthropometric measurements of adults. Cad Saude Colet. 2010, 18 (2): 266-74.

24.

I Diretriz Brasileira de Diagnóstico e Tratamento da Síndrome Metabólica. Arq Bras Cardiol. 2005, 84: 1-28. 10.1590/S0066-782X2005000100001. Suplemento I

25.

Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde: Guia alimentar para a população brasileira: promovendo a alimentação saudável/Ministério da Saúde, Secretaria de Atenção à Saúde, Brasília: Ministério da Saúde. 2008, 210-(Série A. Normas e Manuais Técnicos)

26.

World Health Organization: OBESITY Preventing and managing the global epidemic: report of a WHO Consultation on Obesity. 1998, Geneva: WHO

27.

Janssen I, Heymsfield SB, Baumgartner RN, Ross R: Estimation of skeletal muscle mass by bioelectrical impedance analysis. J Appl Physiol. 2000, 89: 465-71.PubMed

28.

Janssen I, Baumgartner RN, Ross R, Rosenberg IH, Roubenoff R: Skeletal muscle cutpoints associated with elevated physical disability risk in older men and women. Am J Epidemiol. 2004, 159: 413-21. 10.1093/aje/kwh058.CrossRefPubMed

29.

NEPA/UNICAMP: Tabela brasileira de composição de alimentos. 2004, Taco. Versão 1. Campinas

30.

Instituto Brasileiro de Geografia e Estatística: Tabela de Composição de Alimentos. 1999, Rio de Janeiro, 5

31.

Philippi ST: Tabela de Composição de Alimentos: Suporte para decisão nutricional. 2002, São Paulo, 2ª

32.

Mota JF, Rinaldi AEM, Pereira AF, Maestá N, Scarpin MM, Burini RC: Adaptação do Índice de Alimentação Saudável ao Guia Alimentar da População Brasileira. Rev Nutr. 2008, 21: 545-52. 10.1590/S1415-52732008000500007.CrossRef

33.

Ratamess NA, Alvar BA, Evetoch TK, Housh TJ, Kibler WB, Kraemer WJ, et al: Progression Models in Resistance Training for Healthy Adults. Med Sci Sports Exerc. 2009, 41: 687-708. 10.1249/MSS.0b013e3181915670.CrossRef

34.

Balke B, Ware R: An experimental study of Air Force personel. U.S. Armed Forces Med J. 1959, 10: 675-88.

35.

Sociedade Brasileira de Cardiologia: Sociedade Brasileira de Hipertensão. Sociedade Brasileira de Nefrologia. VI Diretrizes Brasileiras de Hipertensão. Arq Bras Cardiol. 2010, 95 (1 supl 1): 1-51.

36.

World Health Organization: Global strategy on diet, physical activity, and health. 2004, Geneva: WHO

37.

Kilkkinen A, Heistaros S, Laatikainen T, Janus E, Chapman A, Absetz P, Dunbar J: Prevention of type 2 diabetes in a primary health care setting: interim results from the Greater Green Triangle (GGT) Diabetes Prevention Study. Diab. Res Clin Pract. 2007, 76: 460-2. 10.1016/j.diabres.2006.09.027.CrossRef

38.

Sloth B, Krog-Mikkelsen I, Flint A, Tetens I, Bjorck I, Vinoy S, Elmstahl H, Raben A: No difference in body weight decrease between a low-glycemic-index and a high-glycemic-index diet but reduced LDL cholesterol after 10-wk ad libitum intake of the low-glycemic-index diet. Am J Clin Nutr. 2004, 80: 337-47.PubMed

39.

Kohl HW, Dunn AL, Marcus BH, Blair SN: A randomized trial of physical activity interventions: design and baseline data from Project Active. Med Sci Sports Exerc. 1998, 30: 275-83.CrossRefPubMed

40.

Tucker LA, Thomas KS: Increasing total fiber intake reduces risk of weight and fat gains in women. J Nutr. 2009, 139: 576-81. 10.3945/jn.108.096685.CrossRefPubMed

41.

Janssen I, Fortier A, Hudson R, Ross R: Effects of an energy-restrictive diet with or without exercise on abdominal fat, intermuscular fat, and metabolic risk factors in obese women. Diabetes Care. 2002, 25: 431-8. 10.2337/diacare.25.3.431.CrossRefPubMed

42.

Orchand TJ, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S, Fowler S: Diabetes Prevention Program Group. The effect of metformin and intensive lifestyle intervention on the metabolic symdrome: the diabetes prevention program randomized trial. Ann Intern Med. 2005, 142: 611-9.CrossRef

43.

Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo , Jones DW, Materson BJ, Oparil S, Wright JT, Roccella EJ: Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003, 42: 1206-52. 10.1161/01.HYP.0000107251.49515.c2.CrossRefPubMed

44.

Sjostrom CD, Peltonen M, Sjostron L: Blood pressure and pulse pressure during long-term weight loss in the obese: the Swedish obese subjects (SOS) intervention study. Obesity Res. 2001, 9: 188-95. 10.1038/oby.2001.20.CrossRef

45.

Stamler J, Rose G, Stamler R, Elliot P, Dyer A, Marmot M: INTERSALT study findings, public health and medical care implications. Hypertension. 1989, 14: 570-7.CrossRefPubMed

46.

Ascherio A, Rimm EB, Giovannucci D, Spiegelman MJ, Stampfer MJ, Willett WC: Dietary fat and risk of coronary heart disease in men: Cohort follow up study in the United States. BMJ. 1996, 313: 84-90. 10.1136/bmj.313.7049.84.PubMedCentralCrossRefPubMed

47.

Rimm EB, Ascherio A, Giovannucci D, Spiegelman MJ, Stampfer MJ, Willett WC: Vegetable, fruit, and cereal fiber intake and risk of coronary disease among men. JAMA. 1996, 275: 447-451. 10.1001/jama.1996.03530300031036.CrossRefPubMed

48.

Rimm EB, Willett WC, Hu FB, Sampson L, Colditz GA, Manson JE, Hennekens C, Stampfer MJ: Folate and vitamin B6 from diet and supplements in relation to risk of coronary heart disease among women. JAMA. 1998, 279: 359-364. 10.1001/jama.279.5.359.CrossRefPubMed

49.

Hu FB, Stampfer MJ, Manson JE, Rimm E, Colditz GA, Speizer FE, Hennekens CH, Willett WC: Dietary protein and risk of ischemic heart disease in women. Am J Clin Nutr. 1999, 70 (2): 221-7.PubMed

Title: Ten-week lifestyle changing program reduces several indicators for metabolic syndrome in overweight adults
Authors: Marita S Mecca
Fernando Moreto
Franz HP Burini
Reinaldo C Dalanesi
Kátia CP McLellan
Roberto C Burini
Publication date: 01-12-2012
Publisher: BioMed Central
Published in: Diabetology & Metabolic Syndrome / Issue 1/2012
Electronic ISSN: 1758-5996
DOI: https://doi.org/10.1186/1758-5996-4-1

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