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
2013
Dietary Patterns, Nutrient Intake, and Sociodemographic Characteristics in HIV-Infected Tanzanian Pregnant Women
Lukmanji Z, Hertzmark E, Spiegleman D, Fawzi WW. Dietary Patterns, Nutrient Intake, and Sociodemographic Characteristics in HIV-Infected Tanzanian Pregnant Women. Ecology Of Food And Nutrition 2013, 52: 34-62. PMID: 23282190, DOI: 10.1080/03670244.2012.705768.Peer-Reviewed Original ResearchConceptsPregnant womenNutrient intakeTanzanian pregnant womenWorld Health Organization recommendationsDietary macronutrient intakeLongitudinal clinical trialsVitamin supplementationClinical trialsDietary intakeMacronutrient intakeDietary patternsDiet intakeFood composition tablesHigh riskWomen's ageSociodemographic characteristicsIntakeInadequate foodDar es SalaamWomenHIVTwo-thirdsEducation levelComposition tablesAge
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 questionnaireHigh school dietary dairy intake and teenage acne
Adebamowo CA, Spiegelman D, Danby FW, Frazier AL, Willett WC, Holmes MD. High school dietary dairy intake and teenage acne. Journal Of The American Academy Of Dermatology 2005, 52: 207-214. PMID: 15692464, DOI: 10.1016/j.jaad.2004.08.007.Peer-Reviewed Original ResearchConceptsTeenage acnePrevalence ratiosNurses' Health Study IIDietary dairy intakeHigh school dietMultivariate prevalence ratiosHealth Study IIBody mass indexCategories of intakeLow-fat milkMass indexSchool dietDairy intakeWestern dietPresence of hormoneAcne historyPossible associationAcneEnergy intakeStudy IIIntakeBreakfast drinksConfidence intervalsTotal milkDairy foods
2004
Commentary: Correlated errors and energy adjustment—where are the data?
Spiegelman D. Commentary: Correlated errors and energy adjustment—where are the data? International Journal Of Epidemiology 2004, 33: 1387-1388. PMID: 15333623, DOI: 10.1093/ije/dyh315.Peer-Reviewed Original Research
2003
Role of Acquired Immune Deficiency Syndrome—Defining Conditions in Human Immunodeficiency Virus—Associated Wasting
Wanke CA, Silva M, Ganda A, Fauntleroy J, Spiegelman D, Knox TA, Gorbach SL. Role of Acquired Immune Deficiency Syndrome—Defining Conditions in Human Immunodeficiency Virus—Associated Wasting. Clinical Infectious Diseases 2003, 37: s81-s84. PMID: 12942378, DOI: 10.1086/375894.Peer-Reviewed Original ResearchConceptsRelative riskStudy visitImmune deficiency syndrome-defining conditionsAcquired Immune Deficiency SyndromeMonthly study visitsCD4 cell countHIV Cohort StudyHuman immunodeficiency virusImmune deficiency syndromeBaseline BMICohort studyImmunodeficiency virusDeficiency syndromeCell countEnergy intakeSocioeconomic statusWastingBMIRiskVisitsLongitudinal dataSyndromeIntakeBaselineMonths
2002
Individual carotenoid concentrations in adipose tissue and plasma as biomarkers of dietary intake 1 , 2 , 3
El-Sohemy A, Baylin A, Kabagambe E, Ascherio A, Spiegelman D, Campos H. Individual carotenoid concentrations in adipose tissue and plasma as biomarkers of dietary intake 1 , 2 , 3. American Journal Of Clinical Nutrition 2002, 76: 172-179. PMID: 12081831, DOI: 10.1093/ajcn/76.1.172.Peer-Reviewed Original ResearchConceptsAdipose tissuePartial Spearman correlation coefficientsFood frequency questionnaireBiomarkers of intakeBody mass indexTotal energy intakeVLDL-cholesterol concentrationsMajor dietary carotenoidsLong-term intakeTissue biopsy samplesIndividual carotenoid concentrationsDietary interviewSpearman correlation coefficientMass indexAdipose tissue biopsy samplesDietary intakePlasma concentrationsCarotenoid intakeBlood samplesBiopsy samplesPlasma carotenoidsTissue carotenoid concentrationsEnergy intakeIntakeDietary carotenoidsNutrient 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
Assessment of Questionnaire Validity for Measuring Total Fat Intake using Plasma Lipid Levels as Criteria
Willett W, Stampfer M, Chu NF, Spiegelman D, Holmes M, Rimm E. Assessment of Questionnaire Validity for Measuring Total Fat Intake using Plasma Lipid Levels as Criteria. American Journal Of Epidemiology 2001, 154: 1107-1112. PMID: 11744515, DOI: 10.1093/aje/154.12.1107.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBiomarkersBody Mass IndexBody WeightCholesterol, HDLCohort StudiesCross-Sectional StudiesDiet SurveysDietary FatsDietary FiberDietary ProteinsEnergy IntakeExerciseFastingFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesRegression AnalysisReproducibility of ResultsSmokingSurveys and QuestionnairesTriglyceridesConceptsTotal fat intakeFood frequency questionnaireFat intakeTriglyceride levelsFrequency questionnaireDietary fatSemiquantitative food frequency questionnaireHealth Professionals FollowBody mass indexHigh fat intakePlasma lipid levelsMetabolic studiesIntake of proteinCross-sectional analysisProfessionals FollowOverweight menMass indexInverse associationLipid levelsPhysical activityBlood specimensAlcohol consumptionSpecific biomarkersIntakeMultiple regression analysisThe 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 lossRelationship of a large weight loss to long-term weight change among young and middle-aged US women
Field A, Wing R, Manson J, Spiegelman D, Willett W. Relationship of a large weight loss to long-term weight change among young and middle-aged US women. International Journal Of Obesity 2001, 25: 1113-1121. PMID: 11477495, DOI: 10.1038/sj.ijo.0801643.Peer-Reviewed Original ResearchConceptsHealth Study IIWeight lossPhysical activityNurses' Health Study IILong-term weight changeLong-term weight gainCategories of BMIBody mass indexLarge weight lossVigorous physical activityMiddle-aged womenSignificant weight lossSelf-reported weightDiagnosis of cancerMass indexWeight cyclingDietary intakeCardiovascular diseaseLess weightUS womenMost womenInactive peersBMIWeight gainStudy II
2000
Adherence to the Dietary Guidelines for Americans and risk of major chronic disease in men 1 , 2 , 3 , 4 , 5
McCullough M, Feskanich D, Rimm E, Giovannucci E, Ascherio A, Variyam J, Spiegelman D, Stampfer M, Willett W. Adherence to the Dietary Guidelines for Americans and risk of major chronic disease in men 1 , 2 , 3 , 4 , 5. American Journal Of Clinical Nutrition 2000, 72: 1223-1231. PMID: 11063453, DOI: 10.1093/ajcn/72.5.1223.Peer-Reviewed Original ResearchConceptsMajor chronic diseasesChronic diseasesFood Guide PyramidDietary guidelinesCardiovascular diseaseLower riskIncident major cardiovascular diseaseUS male health professionalsMale health professionalsFood frequency questionnaireChronic disease outcomesHigher HEI scoresMajor cardiovascular diseasesLower cancer riskHEI scoresHeart diseaseRisk factorsDietary patternsDisease outcomeFood intakeCancer riskHealth professionalsMEN 1Detailed questionnaireDiseaseDietary fat intake and endogenous sex steroid hormone levels in postmenopausal women.
Holmes M, Spiegelman D, Willett W, Manson J, Hunter D, Barbieri R, Colditz G, Hankinson S. Dietary fat intake and endogenous sex steroid hormone levels in postmenopausal women. Journal Of Clinical Oncology 2000, 18: 3668-76. PMID: 11054440, DOI: 10.1200/jco.2000.18.21.3668.Peer-Reviewed Original ResearchConceptsDietary fat intakeFat intakePostmenopausal womenInverse associationHormone levelsSex steroid hormone levelsHealthy postmenopausal womenTotal fat intakeFood frequency questionnaireEndogenous estrogen levelsBreast cancer riskOmega-3 fatsSex steroid hormonesCross-sectional associationsSteroid hormone levelsPercentage of energyEstradiol levelsEstrogen levelsPlasma sex steroidsPlasma levelsSex steroidsCancer riskProtein intakeEnergy intakeSteroid hormonesBody Composition and Dietary Intake in Relation to Drug Abuse in a Cohort of HIV-Positive Persons
Forrester J, Woods M, Knox T, Spiegelman D, Skinner S, Gorbach S. Body Composition and Dietary Intake in Relation to Drug Abuse in a Cohort of HIV-Positive Persons. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2000, 25: s43-s48. PMID: 11126426, DOI: 10.1097/00042560-200010001-00007.Peer-Reviewed Original ResearchConceptsBody mass indexIntravenous drug usersBody compositionDrug usersEnergy intakeDietary intakeFat massCurrent intravenous drug usersPast intravenous drug usersDrug abuseSelf-reported energy intakeHIV-positive personsHigher energy intakeBioelectrical impedance analysisCross-sectional analysisDrug use categoriesDrug use groupHIV infectionMass indexFood recordsDietary dataNonintravenous drugsNutritional statusIntakeWomenAdiposity and Mortality in Men
Baik I, Ascherio A, Rimm EB, Giovannucci E, Spiegelman D, Stampfer MJ, Willett WC. Adiposity and Mortality in Men. American Journal Of Epidemiology 2000, 152: 264-271. PMID: 10933273, DOI: 10.1093/aje/152.3.264.Peer-Reviewed Original ResearchConceptsBody mass indexRecent weight lossMeasures of adiposityCardiovascular diseaseGreater body mass indexWeight lossCardiovascular disease mortalityRisk of deathCancer mortality riskCause-specific mortalityExclusion of menLean menOverall mortalityWaist circumferenceMass indexDisease mortalityExcess mortalityRelative riskBody fatMortality riskUS menElevated riskOlder menHigh mortalityMortality
1999
Dietary 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
1998
Can behavioral risk factors explain the difference in body mass index between African-American and European-American women?
Holmes MD, Stampfer MJ, Wolf AM, Jones CP, Spiegelman D, Manson JE, Colditz GA. Can behavioral risk factors explain the difference in body mass index between African-American and European-American women? Ethnicity & Disease 1998, 8: 331-9. PMID: 9926903.Peer-Reviewed Original ResearchConceptsBody mass indexHigher body mass indexAfrican American womenEuropean American womenMass indexIntentional weight lossMeasurements of dietBehavioral risk factorsModifiable reasonsRisk factorsPhysical activityCalorie intakeFemale nursesAge 18Weight lossMultivariate determinantsWomenTelevision watchingMarital statusBehavioral factorsAfrican AmericansWeight differencesOccupation groupsAgeLinear regression
1997
Dietary Fiber, Glycemic Load, and Risk of NIDDM in Men
Salmerón J, Ascherio A, Rimm E, Colditz G, Spiegelman D, Jenkins D, Stampfer M, Wing A, Willett W. Dietary Fiber, Glycemic Load, and Risk of NIDDM in Men. Diabetes Care 1997, 20: 545-550. PMID: 9096978, DOI: 10.2337/diacare.20.4.545.Peer-Reviewed Original ResearchConceptsRisk of NIDDMHigh glycemic loadGlycemic loadCereal fiberRelative riskHigher cereal fiber intakeSemiquantitative food frequency questionnaireCereal fiber intakeLarge glycemic responseDietary glycemic indexFood frequency questionnaireIncidence of NIDDMIntake of carbohydratesTotal energy intakeLow glycemic loadYears of ageDietary fiberFrequency questionnaireIncident casesLowest quintileCardiovascular diseaseFamily historyFiber intakeNIDDMPhysical activityNon-dietary factors as risk factors for breast cancer, and as effect modifiers of the association of fat intake and risk of breast cancer
Hunter D, Spiegelman D, Adami H, van den Brandt P, Folsom A, Goldbohm R, Graham S, Howe G, Kushi L, Marshall J, Miller A, Speizer F, Willett W, Wolk A, Yaun S. Non-dietary factors as risk factors for breast cancer, and as effect modifiers of the association of fat intake and risk of breast cancer. Cancer Causes & Control 1997, 8: 49-56. PMID: 9051322, DOI: 10.1023/a:1018431104786.Peer-Reviewed Original ResearchConceptsBenign breast diseaseTotal fat intakeFat intakeBreast cancer riskRisk factorsBreast cancerBreast diseaseRelative riskCancer riskNon-dietary risk factorsEnergy-adjusted fat intakeMultivariate-adjusted riskFood frequency questionnaireDietary fat intakeAge-adjusted analysesCase-control studyNon-dietary factorsProspective studyMaternal historyLate menarcheHigher parityDietary fatFamily historyReproductive factorsEffect modifiers
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