Original Research17 February 2015
A Randomized Trial
    Author, Article, and Disclosure Information
    Background:

    Few studies have compared diets to determine whether a program focused on 1 dietary change results in collateral effects on other untargeted healthy diet components.

    Objective:

    To evaluate a diet focused on increased fiber consumption versus the multicomponent American Heart Association (AHA) dietary guidelines.

    Design:

    Randomized, controlled trial from June 2009 to January 2014. (ClinicalTrials.gov: NCT00911885)

    Setting:

    Worcester, Massachusetts.

    Participants:

    240 adults with the metabolic syndrome.

    Intervention:

    Participants engaged in individual and group sessions.

    Measurements:

    Primary outcome was weight change at 12 months.

    Results:

    At 12 months, mean change in weight was −2.1 kg (95% CI, −2.9 to −1.3 kg) in the high-fiber diet group versus −2.7 kg (CI, −3.5 to −2.0 kg) in the AHA diet group. The mean between-group difference was 0.6 kg (CI, −0.5 to 1.7 kg). During the trial, 12 (9.9%) and 15 (12.6%) participants dropped out of the high-fiber and AHA diet groups, respectively ( P  = 0.55). Eight participants developed diabetes (hemoglobin A1c level ≥6.5%) during the trial: 7 in the high-fiber diet group and 1 in the AHA diet group (P = 0.066).

    Limitations:

    Generalizability is unknown. Maintenance of weight loss after cessation of group sessions at 12 months was not assessed. Definitive conclusions cannot be made about dietary equivalence because the study was powered for superiority.

    Conclusion:

    The more complex AHA diet may result in up to 1.7 kg more weight loss; however, a simplified approach to weight reduction emphasizing only increased fiber intake may be a reasonable alternative for persons with difficulty adhering to more complicated diet regimens.

    Primary Funding Source:

    National Heart, Lung, and Blood Institute.

    References

    • 1. Zivkovic AMGerman JBSanyal AJComparative review of diets for the metabolic syndrome: implications for nonalcoholic fatty liver disease. Am J Clin Nutr2007;86:285-300. [PMID: 17684197] CrossrefMedlineGoogle Scholar
    • 2. Feldeisen SETucker KLNutritional strategies in the prevention and treatment of metabolic syndrome. Appl Physiol Nutr Metab2007;32:46-60. [PMID: 17332784] CrossrefMedlineGoogle Scholar
    • 3. Ockene ISHayman LLPasternak RCSchron EDunbar-Jacob JTask force #4—adherence issues and behavior changes: achieving a long-term solution. 33rd Bethesda Conference. J Am Coll Cardiol2002;40:630-40. [PMID: 12204492] CrossrefMedlineGoogle Scholar
    • 4. Pearson TAPalaniappan LPArtinian NTCarnethon MRCriqui MHDaniels SRet alAmerican Heart Association Council on Epidemiology and PreventionAmerican Heart Association Guide for Improving Cardiovascular Health at the Community Level, 2013 update: a scientific statement for public health practitioners, healthcare providers, and health policy makers. Circulation2013;127:1730-53. [PMID: 23519758] doi:10.1161/CIR.0b013e31828f8a94 CrossrefMedlineGoogle Scholar
    • 5. Spring BSchneider KMcFadden HGVaughn JKozak ATSmith Met alMultiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med2012;172:789-96. [PMID: 22636824] doi:10.1001/archinternmed.2012.1044 CrossrefMedlineGoogle Scholar
    • 6. Lichtenstein AHAppel LJBrands MCarnethon MDaniels SFranch HAet alAmerican Heart Association Nutrition CommitteeDiet and lifestyle recommendations revision 2006: a scientific statement from the American Heart Association Nutrition Committee. Circulation2006;114:82-96. [PMID: 16785338] CrossrefMedlineGoogle Scholar
    • 7. Grundy SMCleeman JIDaniels SRDonato KAEckel RHFranklin BAet alAmerican Heart AssociationDiagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation2005;112:2735-52. [PMID: 16157765] CrossrefMedlineGoogle Scholar
    • 8. Ryan PUpdate to random allocation of treatment to blocks. Stata Technical Bulletin1999;50:36-7. Google Scholar
    • 9. Grundy SMHansen BSmith SCCleeman JIKahn RAAmerican Heart AssociationClinical 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. Circulation2004;109:551-6. [PMID: 14757684] CrossrefMedlineGoogle Scholar
    • 10. Merriam PAPersuitte GOlendzki BCSchneider KPagoto SLPalken JLet alDietary intervention targeting increased fiber consumption for metabolic syndrome. J Acad Nutr Diet2012;112:621-3. [PMID: 22709766] doi:10.1016/j.jand.2012.01.024 CrossrefMedlineGoogle Scholar
    • 11. Ockene ISTellez TLRosal MCReed GWMordes JMerriam PAet alOutcomes of a Latino community-based intervention for the prevention of diabetes: the Lawrence Latino Diabetes Prevention Project. Am J Public Health2012;102:336-42. [PMID: 22390448] doi:10.2105/AJPH.2011.300357 CrossrefMedlineGoogle Scholar
    • 12. Pagoto SKantor LBodenlos JGitkind MMa YAdoption of the Diabetes Prevention Program in a hospital-based weight loss clinic. Health Psychol2007;27 Suppl 1 S91-8. CrossrefGoogle Scholar
    • 13. Park YHunter DJSpiegelman DBergkvist LBerrino Fvan den Brandt PAet alDietary fiber intake and risk of colorectal cancer: a pooled analysis of prospective cohort studies. JAMA2005;294:2849-57. [PMID: 16352792] CrossrefMedlineGoogle Scholar
    • 14. Chuwa EWSeow-Choen FDietary fibre. Br J Surg2006;93:3-4. [PMID: 16372393] CrossrefMedlineGoogle Scholar
    • 15. McCullough MLWillett WCEvaluating adherence to recommended diets in adults: the Alternate Healthy Eating Index. Public Health Nutr2006;9:152-7. [PMID: 16512963] CrossrefMedlineGoogle Scholar
    • 16. McCullough MLFeskanich DStampfer MJGiovannucci ELRimm EBHu FBet alDiet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr2002;76:1261-71. [PMID: 12450892] CrossrefMedlineGoogle Scholar
    • 17. Merriam PAOckene ISHebert JRRosal MCMatthews CESeasonal variation of blood cholesterol levels: study methodology. J Biol Rhythms1999;14:330-9. [PMID: 10447314] CrossrefMedlineGoogle Scholar
    • 18. Matthews CEFreedson PSHebert JRStanek EJMerriam PARosal MCet alSeasonal variation in household, occupational, and leisure time physical activity: longitudinal analyses from the seasonal variation of blood cholesterol study. Am J Epidemiol2001;153:172-83. [PMID: 11159163] CrossrefMedlineGoogle Scholar
    • 19. Matthews CEHebert JRFreedson PSStanek EJMerriam PAEbbeling CBet alSources of variance in daily physical activity levels in the seasonal variation of blood cholesterol study. Am J Epidemiol2001;153:987-95. [PMID: 11384955] CrossrefMedlineGoogle Scholar
    • 20. Ma YOlendzki BCLi WHafner ARChiriboga DHebert JRet alSeasonal variation in food intake, physical activity, and body weight in a predominantly overweight population. Eur J Clin Nutr2006;60:519-28. [PMID: 16340952] CrossrefMedlineGoogle Scholar
    • 21. Matthews CEFreedson PSHebert JRStanek EJMerriam PAOckene ISComparing physical activity assessment methods in the Seasonal Variation of Blood Cholesterol Study. Med Sci Sports Exerc2000;32:976-84. [PMID: 10795789] CrossrefMedlineGoogle Scholar
    • 22. Frison LPocock SJRepeated measures in clinical trials: analysis using mean summary statistics and its implications for design. Stat Med1992;11:1685-704. [PMID: 1485053] CrossrefMedlineGoogle Scholar
    • 23. Feng CWang HLu NTu XMLog transformation: application and interpretation in biomedical research. Stat Med2013;32:230-9. [PMID: 22806695] doi:10.1002/sim.5486 CrossrefMedlineGoogle Scholar
    • 24. Roger JH. SAS code for sensitivity analysis using mutiple imputation 2014. Accessed at www.missingdata.org.uk on 28 August 2014. Google Scholar
    • 25. Carpenter JRRoger JHKenward MGAnalysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation. J Biopharm Stat2013;23:1352-71. [PMID: 24138436] doi:10.1080/10543406.2013.834911 CrossrefMedlineGoogle Scholar
    • 26. Yang QZhang ZGregg EWFlanders WDMerritt RHu FBAdded sugar intake and cardiovascular diseases mortality among US adults. JAMA Intern Med2014;174:516-24. [PMID: 24493081] doi:10.1001/jamainternmed.2013.13563 CrossrefMedlineGoogle Scholar
    • 27. Pagoto SLAppelhans BMA call for an end to the diet debates. JAMA2013;310:687-8. [PMID: 23989081] doi:10.1001/jama.2013.8601 CrossrefMedlineGoogle Scholar
    • 28. Ajani UAFord ESMokdad AHDietary fiber and C-reactive protein: findings from national health and nutrition examination survey data. J Nutr2004;134:1181-5. [PMID: 15113967] CrossrefMedlineGoogle Scholar
    • 29. King DEEgan BMGeesey MERelation of dietary fat and fiber to elevation of C-reactive protein. Am J Cardiol2003;92:1335-9. [PMID: 14636916] CrossrefMedlineGoogle Scholar
    • 30. Block GSubar AFEstimates of nutrient intake from a food frequency questionnaire: the 1987 National Health Interview Survey. J Am Diet Assoc1992;92:969-77. [PMID: 1640041] CrossrefMedlineGoogle Scholar
    • 31. Ma YGriffith JAChasan-Taber LOlendzki BCJackson EStanek EJet alAssociation between dietary fiber and serum C-reactive protein. Am J Clin Nutr2006;83:760-6. [PMID: 16600925] CrossrefMedlineGoogle Scholar
    • 32. Ma YHébert JRLi WBertone-Johnson EROlendzki BPagoto SLet alAssociation between dietary fiber and markers of systemic inflammation in the Women's Health Initiative Observational Study. Nutrition2008;24:941-9. [PMID: 18562168] doi:10.1016/j.nut.2008.04.005 CrossrefMedlineGoogle Scholar
    • 33. Go ASMozaffarian DRoger VLBenjamin EJBerry JDBorden WBet alAmerican Heart Association Statistics Committee and Stroke Statistics SubcommitteeHeart disease and stroke statistics—2013 update: a report from the American Heart Association. Circulation2013;127:e6-e245. [PMID: 23239837] doi:10.1161/CIR.0b013e31828124ad CrossrefMedlineGoogle Scholar
    • 34. Marlett JAMcBurney MISlavin JLAmerican Dietetic AssociationPosition of the American Dietetic Association: health implications of dietary fiber. J Am Diet Assoc2002;102:993-1000. [PMID: 12146567] CrossrefMedlineGoogle Scholar
    • 35. Lappalainen RSairanen EJärvelä ERantala SKorpela RPuttonen Set alThe effectiveness and applicability of different lifestyle interventions for enhancing wellbeing: the study design for a randomized controlled trial for persons with metabolic syndrome risk factors and psychological distress. BMC Public Health2014;14:310. [PMID: 24708617] doi:10.1186/1471-2458-14-310 CrossrefMedlineGoogle Scholar
    • 36. American Diabetes AssociationStandards of medical care in diabetes—2012. Diabetes Care2012;35 Suppl 1:S11-63. [PMID: 22187469] doi:10.2337/dc12-s011 CrossrefMedlineGoogle Scholar