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
2020
Worksite intervention study to prevent diabetes in Nepal: a randomised trial protocol
Pyakurel P, Shrestha A, Karmacharya BM, Budhathoki SS, Chaudhari RK, Tamrakar D, Shrestha A, Karmacharya RM, Shrestha A, Sharma S, Sharma SK, Spiegelman D. Worksite intervention study to prevent diabetes in Nepal: a randomised trial protocol. Open Heart 2020, 7: e001236. PMID: 32847993, PMCID: PMC7451278, DOI: 10.1136/openhrt-2019-001236.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersBlood GlucoseDiabetes MellitusGlycated HemoglobinHealth BehaviorHealth Knowledge, Attitudes, PracticeHealthy LifestyleHumansMaleMiddle AgedMulticenter Studies as TopicNepalOccupational Health ServicesPatient Education as TopicPrediabetic StatePrimary PreventionRandomized Controlled Trials as TopicRisk Reduction BehaviorTime FactorsTreatment OutcomeConceptsBehavioral interventionsControl periodDiabetes risk reductionMonth control periodNepal Health Research CouncilBehavioral intervention groupWorksite intervention studiesT-testHealth Research CouncilInstitutional review boardTwo-sample t-testBlood sugarTrial protocolIntervention groupEthical approvalControl groupIntervention studiesType 2More monthsReview boardInterventionDiabetesParticipant changesPublic healthRisk reduction
2011
Predictors of change in nutritional and hemoglobin status among adults treated for tuberculosis in Tanzania
Kawai K, Villamor E, Mugusi FM, Saathoff E, Urassa W, Bosch RJ, Spiegelman D, Fawzi WW. Predictors of change in nutritional and hemoglobin status among adults treated for tuberculosis in Tanzania. The International Journal Of Tuberculosis And Lung Disease 2011, 15: 1380-1389. PMID: 22283899, PMCID: PMC3404808, DOI: 10.5588/ijtld.10.0784.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnemiaAntitubercular AgentsBiomarkersBody Mass IndexCoinfectionFemaleHealth Status IndicatorsHemoglobinsHIV InfectionsHumansLinear ModelsMaleMalnutritionMultivariate AnalysisNutritional StatusNutritional SupportProspective StudiesTanzaniaTime FactorsTreatment OutcomeTuberculosis, PulmonaryYoung AdultConceptsLow CD4 cell countsHuman immunodeficiency virusBody mass indexCD4 cell countHIV-positive patientsTB treatmentCell countPredictors of changeTB patientsHemoglobin statusHIV-negative TB patientsHIV-positive TB patientsOlder ageHIV-negative adultsHIV-negative patientsPrevious TB infectionHIV-negative participantsAdequate nutritional supportHigh viral loadProfound malnutritionTB infectionPulmonary tuberculosisNutritional recoveryNutritional supportHemoglobin levels
2005
Selenium status, pregnancy outcomes, and mother-to-child transmission of HIV-1.
Kupka R, Garland M, Msamanga G, Spiegelman D, Hunter D, Fawzi W. Selenium status, pregnancy outcomes, and mother-to-child transmission of HIV-1. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2005, 39: 203-10. PMID: 15905738.Peer-Reviewed Original ResearchConceptsPregnancy outcomesPregnant womenChild transmissionLow selenium statusHIV transmissionMaternal HIV disease progressionHIV-positive pregnant womenSelenium statusDirect epidemiologic evidenceMTCT of HIVLow plasma selenium levelsHIV disease progressionPoor pregnancy outcomesRisk of motherWeeks of gestationMother-child pairsPlasma selenium levelsAdequate selenium statusFetal deathGestational ageEpidemiologic evidenceLow birthweightDisease progressionGenital tractHIV-1
2003
A Cross-Sectional Study of Alcohol Consumption Patterns and Biologic Markers of Glycemic Control Among 459 Women
Kroenke CH, Chu NF, Rifai N, Spiegelman D, Hankinson SE, Manson JE, Rimm EB. A Cross-Sectional Study of Alcohol Consumption Patterns and Biologic Markers of Glycemic Control Among 459 Women. Diabetes Care 2003, 26: 1971-1978. PMID: 12832298, DOI: 10.2337/diacare.26.7.1971.Peer-Reviewed Original ResearchConceptsHealth Study IIGlycemic controlAlcohol intakeBiologic markersNurses' Health Study IIBeneficial glycemic effectsAverage alcohol intakeModerate alcohol consumptionMain outcome measuresCross-sectional studyYears of ageAlcohol consumption patternsOverweight womenGlycemic effectsInsulin levelsLifestyle factorsInsulin resistanceDietary factorsInverse associationC-peptideAverage daily consumptionOutcome measuresPhysical activityBlood samplesAlcohol consumptionAdipose Tissue α-Linolenic Acid and Nonfatal Acute Myocardial Infarction in Costa Rica
Baylin A, Kabagambe EK, Ascherio A, Spiegelman D, Campos H. Adipose Tissue α-Linolenic Acid and Nonfatal Acute Myocardial Infarction in Costa Rica. Circulation 2003, 107: 1586-1591. PMID: 12668490, DOI: 10.1161/01.cir.0000058165.81208.c6.Peer-Reviewed Original ResearchConceptsNonfatal acute myocardial infarctionAcute myocardial infarctionAdipose tissue alpha-linolenic acidAlpha-linolenic acidMyocardial infarctionCardiovascular diseaseFirst nonfatal acute myocardial infarctionMultivariate conditional logistic regression modelPopulation-based case-control studyConditional logistic regression modelsTissue linoleic acidMI risk factorsPopulation control subjectsCase-control studyAdipose tissue samplesArea of residenceLogistic regression modelsTrans fatty acidsΑ-Linolenic AcidCase patientsFatty acidsControl subjectsLowest quintileInverse associationRisk factors
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 carotenoids
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 analysisApplication of the Method of Triads to Evaluate the Performance of Food Frequency Questionnaires and Biomarkers as Indicators of Long-term Dietary Intake
Kabagambe EK, Baylin A, Allan DA, Siles X, Spiegelman D, Campos H. Application of the Method of Triads to Evaluate the Performance of Food Frequency Questionnaires and Biomarkers as Indicators of Long-term Dietary Intake. American Journal Of Epidemiology 2001, 154: 1126-1135. PMID: 11744518, DOI: 10.1093/aje/154.12.1126.Peer-Reviewed Original ResearchMeSH KeywordsAdipose TissueBiomarkersCarotenoidsCosta RicaEpidemiologic Research DesignFactor Analysis, StatisticalFatty AcidsFatty Acids, UnsaturatedFemaleHumansLycopeneMaleMental RecallMiddle AgedMinority GroupsNutrition SurveysReproducibility of ResultsSensitivity and SpecificitySurveys and QuestionnairesTime FactorsTocopherolsConceptsFood frequency questionnaireDietary intakeMethod of triadsFrequency questionnaireDietary recallsAdipose tissueLong-term dietary intakeFatty acidsUS minority groupsSuperior biomarkerPoor biomarkerTissue samplesBiomarkersIntakeMedian validity coefficientsTissueValidity coefficientsQuestionnaireSubjectsPast yearPlasmaTocopherolsWomenAssessment of Markers of Hepatitis C Virus Infection in a Japanese Adult Population
Arduino J, Stuver S, Spiegelman D, Okayama A, Tabor E, Yu M, Kohara M, Tsubouchi H, Mueller N. Assessment of Markers of Hepatitis C Virus Infection in a Japanese Adult Population. The Journal Of Infectious Diseases 2001, 184: 1229-1235. PMID: 11679910, DOI: 10.1086/324006.Peer-Reviewed Original ResearchConceptsHepatitis C virus infectionC virus infectionHCV core proteinHCV infectionHCV RNAVirus infectionCommunity-based Japanese populationCurrent HCV infectionHCV infection statusLatent class analysisJapanese adult populationLogistic regression analysisAssessment of markersUsefulness of markersVirus markersCore proteinAdult populationInfectionInfection statusSerum samplesJapanese populationHCVRegression analysisDemographic factorsMarkersPopulation-based study of α- and γ-tocopherol in plasma and adipose tissue as biomarkers of intake in Costa Rican adults 1 , 2 , 3
El-Sohemy A, Baylin A, Ascherio A, Kabagambe E, Spiegelman D, Campos H. Population-based study of α- and γ-tocopherol in plasma and adipose tissue as biomarkers of intake in Costa Rican adults 1 , 2 , 3. American Journal Of Clinical Nutrition 2001, 74: 356-363. PMID: 11522560, DOI: 10.1093/ajcn/74.3.356.Peer-Reviewed Original ResearchConceptsAlpha-tocopherol intakeBiomarkers of intakeAdipose tissueGamma-tocopherolTissue concentrationsAlpha-tocopherolGamma-tocopherol intakeFood frequency questionnairePopulation-based studyDietary alpha-tocopherolAlpha-tocopherol concentrationsGamma-tocopherol concentrationsTissue biopsy samplesSupplement useVitamin supplementsBlood samplesBiopsy samplesVitamin EGood biomarkerUS dietSuitable biomarkersIntakePalm shorteningBiomarkersAdults 1Plasma leptin concentrations and four-year weight gain among US men
Chu N, Spiegelman D, Yu J, Rifai N, Hotamisligil G, Rimm E. Plasma leptin concentrations and four-year weight gain among US men. International Journal Of Obesity 2001, 25: 346-353. PMID: 11319631, DOI: 10.1038/sj.ijo.0801549.Peer-Reviewed Original ResearchConceptsPlasma leptin concentrationsBaseline body mass indexPlasma leptin levelsLeptin levelsSubsequent weight gainLeptin concentrationsWeight gainInsulin levelsLeptin resistanceUS menSoluble tumor necrosis factor receptor levelsTumor necrosis factor receptor levelsBaseline plasma leptin levelsElevated plasma leptin concentrationsFour-year prospective studyDetailed lifestyle questionnaireHigher baseline leptinHealth Professionals FollowBody mass indexTotal energy intakeBody fat massPlasma insulin levelsDevelopment of obesityFollow-up questionnaireBaseline leptinAssociation 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
2000
Leisure-Time Physical Activity, Television Watching, and Plasma Biomarkers of Obesity and Cardiovascular Disease Risk
Fung TT, Hu FB, Yu J, Chu NF, Spiegelman D, Tofler GH, Willett WC, Rimm EB. Leisure-Time Physical Activity, Television Watching, and Plasma Biomarkers of Obesity and Cardiovascular Disease Risk. American Journal Of Epidemiology 2000, 152: 1171-1178. PMID: 11130623, DOI: 10.1093/aje/152.12.1171.Peer-Reviewed Original ResearchConceptsLeisure-time physical activityDensity lipoprotein cholesterolPhysical activityCVD riskLipoprotein cholesterolHDL cholesterolCardiovascular diseaseTelevision watchingLong-term leisure-time physical activityHigh-density lipoprotein cholesterolLow-density lipoprotein cholesterolLong-term physical activityMale health professionalsBiomarkers of obesityCardiovascular disease riskBlood lipidsThrombogenic factorsLeptin levelsInsulin sensitivityC-peptideApolipoprotein A1Vigorous activityLinear regression analysisBiochemical markersHealth professionals