2022
Measurement error affecting web- and paper-based dietary assessment instruments: Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error
Kirkpatrick S, Troiano R, Barrett B, Cunningham C, Subar A, Park Y, Bowles H, Freedman L, Kipnis V, Rimm E, Willett W, Potischman N, Spielgelman D, Baer D, Schoeller D, Dodd K. Measurement error affecting web- and paper-based dietary assessment instruments: Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error. American Journal Of Epidemiology 2022, 191: kwac026-. PMID: 35136928, PMCID: PMC9393065, DOI: 10.1093/aje/kwac026.Peer-Reviewed Original ResearchConceptsFood frequency questionnaireSingle food frequency questionnaireDietary assessment instrumentsFood recordsTrue usual intakeFrequency questionnaireUsual intakeAssessment instrumentsRecovery biomarkersEpidemiologic researchCorrelation coefficientValidation studyAverage attenuationCohortStudyIntakeBiomarkers
2005
Dietary intake in human immunodeficiency virus–infected adults: A comparison of dietary assessment methods
Hendricks K, Tang A, Spiegelman D, Skinner S, Woods M. Dietary intake in human immunodeficiency virus–infected adults: A comparison of dietary assessment methods. Journal Of The Academy Of Nutrition And Dietetics 2005, 105: 532-540. PMID: 15800553, DOI: 10.1016/j.jada.2005.01.028.Peer-Reviewed Original ResearchMeSH KeywordsAdultCohort StudiesDietDiet RecordsDiet SurveysDietary CarbohydratesDietary FatsDietary ProteinsEatingEnergy IntakeEthnicityFemaleHIV InfectionsHumansLongitudinal StudiesMaleMicronutrientsNutrition AssessmentNutrition PolicyRegression AnalysisReproducibility of ResultsSensitivity and SpecificitySurveys and QuestionnairesConceptsFood frequency questionnaireFood recordsDietary Reference IntakesCohort studyDietary intakeLarge cohortReference IntakesIntake dataHuman immunodeficiency virus-infected adultsNutrient intakeHuman immunodeficiency virus (HIV) infectionBlock Food Frequency QuestionnaireImmunodeficiency virus infectionHIV-positive participantsQuintile rankingsLongitudinal cohort studyMean percent agreementOngoing cohort studyProportion of subjectsDietary intake dataDietary assessment methodsNutrient intake dataEstimated nutrient intakeNutrient intake estimatesFrequency questionnaire
2002
Nutrient intake and body weight in a large HIV cohort that includes women and minorities
WOODS MN, SPIEGELMAN D, Knox TA, FORRESTER JE, CONNORS JL, SKINNER SC, Silva M, KIM JH, GORBACH SL. Nutrient intake and body weight in a large HIV cohort that includes women and minorities. Journal Of The Academy Of Nutrition And Dietetics 2002, 102: 203-211. PMID: 11846114, DOI: 10.1016/s0002-8223(02)90049-0.Peer-Reviewed Original ResearchConceptsVitamin/mineral supplementsNutrient intakeMicronutrient intakeBaseline nutrient intakeLarge HIV cohortCD4 cell countCD4 lymphocyte countHIV-positive populationBody mass indexInadequate nutrient intakeStudy sampleNHANES III dataWilcoxon rank sum testCubic spline modelsMineral supplementsRank sum testHIV cohortLymphocyte countSpearman correlation coefficientMass indexProspective studyFood recordsMedian intakeDietary intakeNutritional intake
2001
The correlates of dietary intake among HIV-positive adults 1 , 2 , 3
Kim J, Spiegelman D, Rimm E, Gorbach S. The correlates of dietary intake among HIV-positive adults 1 , 2 , 3. American Journal Of Clinical Nutrition 2001, 74: 852-861. PMID: 11722969, DOI: 10.1093/ajcn/74.6.852.Peer-Reviewed Original ResearchConceptsHigher energy intakeDietary intakeEnergy intakeHIV infectionClinical outcomesDietary adequacyAdverse clinical outcomesAbsence of nauseaInadequate dietary intakeInadequate protein intakeInadequate energy intakeInjection drug usersCross-sectional studyStudy cohortFemale sexDiet recordsReduced appetiteDietary inadequacyStudy populationProtein intakeDietary allowanceDrug usersDiverse cohortIntakeWeight lossAssociation between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk 1 , 2 , 3
Fung T, Rimm E, Spiegelman D, Rifai N, Tofler G, Willett W, Hu F. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk 1 , 2 , 3. American Journal Of Clinical Nutrition 2001, 73: 61-67. PMID: 11124751, DOI: 10.1093/ajcn/73.1.61.Peer-Reviewed Original ResearchConceptsMajor dietary patternsFood frequency questionnaireBiomarkers of obesityDietary patternsHomocysteine concentrationsHigh intakePattern scoresHigh-fat dairy productsHealth Professionals FollowOverall dietary patternsCardiovascular disease riskBody mass indexPlasma folate concentrationsPrudent patternProfessionals FollowCVD riskDevelopment of diseaseSmoking statusAlcohol intakeMass indexPotential confoundersObesity riskPlasma biomarkersPlasma folateRisk factors
1999
A Prospective Study of Coffee Consumption and the Risk of Symptomatic Gallstone Disease in Men
Leitzmann MF, Willett WC, Rimm EB, Stampfer MJ, Spiegelman D, Colditz GA, Giovannucci E. A Prospective Study of Coffee Consumption and the Risk of Symptomatic Gallstone Disease in Men. JAMA 1999, 281: 2106-2112. PMID: 10367821, DOI: 10.1001/jama.281.22.2106.Peer-Reviewed Original ResearchConceptsSymptomatic gallstone diseaseGallstone diseaseRelative riskCoffee consumptionDecreased riskRisk factorsCaffeine intakeHealth professionalsUS male health professionalsMale health professionalsRegular coffeeProspective cohort studyFood frequency questionnaireConsumption of coffeeCohort studyFrequency questionnaireProspective studyMore cupsMetabolic effectsUS menGallstone formationDecaffeinated coffeeDiseaseMenCholecystectomyDietary Fat and Coronary Heart Disease: A Comparison of Approaches for Adjusting for Total Energy Intake and Modeling Repeated Dietary Measurements
Hu F, Stampfer M, Rimm E, Ascherio A, Rosner B, Spiegelman D, Willett W. Dietary Fat and Coronary Heart Disease: A Comparison of Approaches for Adjusting for Total Energy Intake and Modeling Repeated Dietary Measurements. American Journal Of Epidemiology 1999, 149: 531-540. PMID: 10084242, DOI: 10.1093/oxfordjournals.aje.a009849.Peer-Reviewed Original ResearchConceptsCoronary heart diseaseRisk of CHDTotal energy intakeNutrient density modelsBaseline dietHeart diseaseHigh intakeHealth StudyDietary measurementsEnergy intakeMultivariate nutrient density modelsPrevious cohort studiesNurses' Health StudyAssessment of dietEnergy adjustment methodCohort studyEnergy adjustmentFat intakeDietary fatRelative riskRecent dietDietary assessmentIntakeTrans fatsMultivariate model
1996
Vegetable, Fruit, and Cereal Fiber Intake and Risk of Coronary Heart Disease Among Men
Rimm EB, Ascherio A, Giovannucci E, Spiegelman D, Stampfer MJ, Willett WC. Vegetable, Fruit, and Cereal Fiber Intake and Risk of Coronary Heart Disease Among Men. JAMA 1996, 275: 447-451. PMID: 8627965, DOI: 10.1001/jama.1996.03530300031036.Peer-Reviewed Original ResearchConceptsTotal myocardial infarctionCoronary heart diseaseDietary fiber intakeMyocardial infarctionFiber intakeRelative riskCoronary diseaseHeart diseaseInverse associationCases of MIAge-adjusted relative riskTotal dietary fiber intakeDietary fiberCereal fiber intakeCardiovascular risk factorsNonfatal myocardial infarctionTotal energy intakeTotal fiber intakeCurrent national dietary guidelinesMain food contributorsFatal coronary diseaseYears of ageNational dietary guidelinesDietary questionnaireCohort study