2024
Barriers to and facilitators of improving physical activity and nutrition behaviors during chemotherapy for breast cancer: a sequential mixed methods study
Puklin L, Irwin M, Sanft T, Ferrucci L, Harrigan M, McGowan C, Cartmel B, Zupa M, Winer E, Deyling M, Ligibel J, Basen-Engquist K, Spiegelman D, Sharifi M. Barriers to and facilitators of improving physical activity and nutrition behaviors during chemotherapy for breast cancer: a sequential mixed methods study. Supportive Care In Cancer 2024, 32: 590. PMID: 39141176, DOI: 10.1007/s00520-024-08789-5.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic AgentsBreast NeoplasmsExerciseFemaleHealth BehaviorHumansLife StyleMiddle AgedQualitative ResearchSurveys and QuestionnairesConceptsPhysical activityLifestyle interventionSelf-reported PA questionnaireSelf-reported diet qualityBreast cancerHealthy Eating Index-2015Stage I-III breast cancerBenefits of PASequential mixed methods studyI-III breast cancerChemotherapy-related symptomsMixed methods studyThematic content analysisBehavioral goalsSense of controlBody mass indexPA questionnaireSemi-structured interviewsMean body mass indexTranscribed verbatimIntervention armTailored educationDiet qualityNutritional behaviorMental benefits
2023
Reasons for using traditional and complementary care by people living with HIV on antiretroviral therapy and association with interrupted care: a mixed methods study in Eswatini
Molemans M, Reis R, Shabalala F, Dlamini N, Masilela N, Simelane N, Pell C, Chao A, Spiegelman D, Vernooij E, van Leth F. Reasons for using traditional and complementary care by people living with HIV on antiretroviral therapy and association with interrupted care: a mixed methods study in Eswatini. BMC Complementary Medicine And Therapies 2023, 23: 350. PMID: 37794359, PMCID: PMC10548651, DOI: 10.1186/s12906-023-04184-5.Peer-Reviewed Original ResearchMeSH KeywordsComplementary TherapiesEswatiniHIV InfectionsHumansSurveys and QuestionnairesTraditional Medicine PractitionersConceptsInterrupted careAntiretroviral therapyType of illnessCurrent usersTCAM providersTCAM usersHIV diagnosisHIV continuumClinic recordsMultivariable analysisComplementary careVisit dateHealth facilitiesAlternative medicineTCAM useBiomedical careCareAdditional careMixed-methods studyHIVTherapyQualitative content analysisOpen-ended questionsMethods studyContextual factorsValidation of the Cancer Stigma Scale in Nepalese Women
Shrestha A, Stangl A, Paneru B, Poudel L, Karmacharya A, Makaju S, Spiegelman D, Shakya S, Shrestha A, Sheth S. Validation of the Cancer Stigma Scale in Nepalese Women. Asian Pacific Journal Of Cancer Prevention 2023, 24: 204-214. PMID: 36708569, PMCID: PMC10152840, DOI: 10.31557/apjcp.2023.24.1.207.Peer-Reviewed Original ResearchMeSH KeywordsFemaleHumansNeoplasmsNepalPsychometricsReproducibility of ResultsSurveys and QuestionnairesConceptsCancer Stigma ScaleCancer stigmaCancer patientsStigma ScaleCronbach's alphaNepali womenInternal consistencyCross-cultural adaptationNepalese populationNepalese womenSufficient internal consistencyCancerWomenPatientsSatisfactory internal reliabilityVulnerable groupsAlphaInternal reliabilityStigmaOverall scaleModel fit indicesHigh levelsSix-factor structure
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 ResearchMeSH KeywordsBiomarkersCohort StudiesDietDiet SurveysEnergy IntakeFemaleHumansMaleMental RecallNutrition AssessmentReproducibility of ResultsSurveys and QuestionnairesConceptsFood frequency questionnaireSingle food frequency questionnaireDietary assessment instrumentsFood recordsTrue usual intakeFrequency questionnaireUsual intakeAssessment instrumentsRecovery biomarkersEpidemiologic researchCorrelation coefficientValidation studyAverage attenuationCohortStudyIntakeBiomarkers
2011
Socio-economic status, urbanization, and cardiometabolic risk factors among middle-aged adults in Tanzania.
Njelekela MA, Liu E, Mpembeni R, Muhihi A, Mligiliche N, Spiegelman D, Finkelstein JL, Fawzi WW, Willett WC, Mtabaji J. Socio-economic status, urbanization, and cardiometabolic risk factors among middle-aged adults in Tanzania. East African Journal Of Public Health 2011, 8: 216-23. PMID: 23120960.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesDietExerciseFemaleHealth BehaviorHumansLife StyleLipidsLogistic ModelsMaleMetabolic SyndromeMiddle AgedObesityResidence CharacteristicsRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesTanzaniaUrban HealthUrbanizationWaist CircumferenceConceptsCardiometabolic risk factorsPoorer lipid profileHigher socioeconomic statusRisk factorsLipid profileSocioeconomic statusUrban residenceCardio-metabolic risk factorsWorld Health Organization criteriaHigher total cholesterolHigh waist circumferenceRisk of obesityHealth screening strategiesMiddle-aged adultsMetabolic syndromeTotal cholesterolWaist circumferenceLDL cholesterolHigher BMIPrimary preventionLower triglyceridesOrganization criteriaDietary factorsCardiovascular diseaseGlucose levels
2009
Evaluation of a novel food composition database that includes glutamine and other amino acids derived from gene sequencing data
Lenders CM, Liu S, Wilmore DW, Sampson L, Dougherty LW, Spiegelman D, Willett WC. Evaluation of a novel food composition database that includes glutamine and other amino acids derived from gene sequencing data. European Journal Of Clinical Nutrition 2009, 63: 1433-1439. PMID: 19756030, PMCID: PMC3249386, DOI: 10.1038/ejcn.2009.110.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmino AcidsCohort StudiesDiet RecordsDiet SurveysDietary ProteinsFemaleGlutamineHumansMiddle AgedProspective StudiesSequence Analysis, ProteinSurveys and QuestionnairesConceptsFood frequency questionnaireGlutamine intakeItem food frequency questionnaireEnergy-adjusted intakesContent of glutamineGene sequencing methodsMajor food proteinsGlutamine contentFrequency questionnaireDietary intakeHealth StudyAbsolute intakeNHS participantsFood composition databasesIntakeVs 4.4Person coefficientPearson correlation coefficientTotal proteinAmino acidsComposition databaseCorrelation coefficientFood proteinsSequencing methodsGlutamine consumptionIntakes of Fruit, Vegetables, and Carotenoids and Renal Cell Cancer Risk: A Pooled Analysis of 13 Prospective Studies
Lee JE, Männistö S, Spiegelman D, Hunter DJ, Bernstein L, van den Brandt PA, Buring JE, Cho E, English DR, Flood A, Freudenheim JL, Giles GG, Giovannucci E, Håkansson N, Horn-Ross PL, Jacobs EJ, Leitzmann MF, Marshall JR, McCullough ML, Miller AB, Rohan TE, Ross JA, Schatzkin A, Schouten LJ, Virtamo J, Wolk A, Zhang SM, Smith-Warner SA. Intakes of Fruit, Vegetables, and Carotenoids and Renal Cell Cancer Risk: A Pooled Analysis of 13 Prospective Studies. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 1730-1739. PMID: 19505906, PMCID: PMC2883186, DOI: 10.1158/1055-9965.epi-09-0045.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Renal CellCarotenoidsDietFemaleFruitHumansKidney NeoplasmsMaleRisk FactorsSurveys and QuestionnairesVegetablesConceptsPooled multivariate relative risksRenal cell cancerMultivariate relative riskCell cancerRelative riskVegetable consumptionProspective studyPooled analysisStudy-specific relative risksRenal cell cancer riskCox proportional hazards modelFood frequency questionnaireIntake of fruitsLutein/zeaxanthinProportional hazards modelRandom-effects modelTotal vegetablesIncident casesLowest quintileVegetable intakeCancer riskHazards modelCancerTotal fruitRisk
2005
Increasing Risk of 5% or Greater Unintentional Weight Loss in a Cohort of HIV-Infected Patients, 1995 to 2003
Tang AM, Jacobson DL, Spiegelman D, Knox TA, Wanke C. Increasing Risk of 5% or Greater Unintentional Weight Loss in a Cohort of HIV-Infected Patients, 1995 to 2003. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2005, 40: 70-76. PMID: 16123685, DOI: 10.1097/01.qai.0000159627.54149.2e.Peer-Reviewed Original ResearchConceptsCohort of HIVUnintentional weight lossWeight lossAntiretroviral therapyBody compositionLow CD4 cell countsHigher HIV viral loadHigher body mass indexCare of HIVHealthy Living cohortActive antiretroviral therapyCD4 cell countCombination antiretroviral therapyHIV viral loadBody mass indexRisk of deathPresence of diarrheaFederal poverty levelLiving cohortHIV infectionMass indexMost AIDSOpportunistic infectionsViral loadPatient populationCorrelated errors in biased surrogates: study designs and methods for measurement error correction
Spiegelman D, Zhao B, Kim J. Correlated errors in biased surrogates: study designs and methods for measurement error correction. Statistics In Medicine 2005, 24: 1657-1682. PMID: 15736283, DOI: 10.1002/sim.2055.Peer-Reviewed Original ResearchInfluence of Body Size and Body Fat Distribution on Risk of Uterine Leiomyomata in U.S. Black Women
Wise LA, Palmer JR, Spiegelman D, Harlow BL, Stewart EA, Adams-Campbell LL, Rosenberg L. Influence of Body Size and Body Fat Distribution on Risk of Uterine Leiomyomata in U.S. Black Women. Epidemiology 2005, 16: 346-354. PMID: 15824551, PMCID: PMC1847589, DOI: 10.1097/01.ede.0000158742.11877.99.Peer-Reviewed Original ResearchConceptsBody mass indexIncidence rate ratiosBlack Women's Health StudyWomen's Health StudyParous womenUterine leiomyomataHealth StudyWeight gainMultivariate incidence rate ratiosSelf-reported uterine leiomyomataU.S. prospective cohort studiesBlack womenProspective cohort studyBody fat distributionConfidence intervalsU.S. Black womenPremenopausal womenCohort studyPrior diagnosisHip ratioMass indexHip circumferenceFat distributionHealth QuestionnaireLarge cohortDietary 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 foodsAdult Recall of Adolescent Diet: Reproducibility and Comparison with Maternal Reporting
Maruti SS, Feskanich D, Colditz GA, Frazier AL, Sampson LA, Michels KB, Hunter DJ, Spiegelman D, Willett WC. Adult Recall of Adolescent Diet: Reproducibility and Comparison with Maternal Reporting. American Journal Of Epidemiology 2005, 161: 89-97. PMID: 15615919, PMCID: PMC2293280, DOI: 10.1093/aje/kwi019.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDietFemaleHumansMental RecallMiddle AgedMothersProspective StudiesReproducibility of ResultsStatistics, NonparametricSurveys and QuestionnairesConceptsHealth Study II cohortFood frequency questionnaireAdolescent dietFrequency questionnaireNurses' Health Study II cohortSpearman rank correlationLong latency periodAssessment of validityMaternal reportingProspective dataDietary factorsNHSII participantsCancer occurrenceFood intakePearson correlationUS womenRetrospective collectionLatency periodNutrient intakeRank correlationDietFurther studiesMean Pearson correlationIntakeWomen
2004
Fruit and Vegetable Intake and Risk of Major Chronic Disease
Hung HC, Joshipura KJ, Jiang R, Hu FB, Hunter D, Smith-Warner SA, Colditz GA, Rosner B, Spiegelman D, Willett WC. Fruit and Vegetable Intake and Risk of Major Chronic Disease. Journal Of The National Cancer Institute 2004, 96: 1577-1584. PMID: 15523086, DOI: 10.1093/jnci/djh296.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAnalysis of VarianceCardiovascular DiseasesCause of DeathChronic DiseaseConfidence IntervalsConfounding Factors, EpidemiologicDiet SurveysFeeding BehaviorFemaleFollow-Up StudiesFruitHealth PersonnelHumansIncidenceMaleMiddle AgedNeoplasmsProportional Hazards ModelsProspective StudiesResearch DesignRisk AssessmentRisk FactorsSurveys and QuestionnairesUnited StatesVegetablesConceptsMajor chronic diseasesVegetable intakeCardiovascular diseaseChronic diseasesRelative riskHealth StudyVegetable consumptionGreen leafy vegetable intakeSemiquantitative food frequency questionnaireCox proportional hazards analysisOverall cancer incidenceTotal fruitNurses' Health StudyFood frequency questionnaireProportional hazards analysisStrong inverse associationProspective cohortGreen leafy vegetablesHighest quintileInverse associationCancer incidenceFood groupsHealth professionalsOverall healthDietary informationDairy Foods, Calcium, and Colorectal Cancer: A Pooled Analysis of 10 Cohort Studies
Cho E, Smith-Warner SA, Spiegelman D, Beeson WL, van den Brandt PA, Colditz GA, Folsom AR, Fraser GE, Freudenheim JL, Giovannucci E, Goldbohm RA, Graham S, Miller AB, Pietinen P, Potter JD, Rohan TE, Terry P, Toniolo P, Virtanen MJ, Willett WC, Wolk A, Wu K, Yaun SS, Zeleniuch-Jacquotte A, Hunter DJ. Dairy Foods, Calcium, and Colorectal Cancer: A Pooled Analysis of 10 Cohort Studies. Journal Of The National Cancer Institute 2004, 96: 1015-1022. PMID: 15240785, DOI: 10.1093/jnci/djh185.Peer-Reviewed Original ResearchMeSH KeywordsAdenomaAdultAgedAnimalsCalcium, DietaryCohort StudiesColorectal NeoplasmsDairy ProductsEatingEuropeFemaleHumansIncidenceMaleMiddle AgedMilkMultivariate AnalysisProportional Hazards ModelsProspective StudiesResearch DesignRisk AssessmentRisk FactorsSurveys and QuestionnairesUnited StatesConceptsColorectal cancerRelative riskMilk intakeCalcium intakeCohort studyPooled multivariable relative risksMultivariable relative risksFood frequency questionnaireColorectal cancer riskUsual dietary intakeConfidence intervalsDairy foodsFrequency questionnaireIncident casesDietary calciumPooled analysisLowest quintileInverse associationDietary intakeDistal colonEpidemiologic studiesCancer riskLower riskTotal calciumCancerInference for the Proportional Hazards Model with Misclassified Discrete‐Valued Covariates
Zucker DM, Spiegelman D. Inference for the Proportional Hazards Model with Misclassified Discrete‐Valued Covariates. Biometrics 2004, 60: 324-334. PMID: 15180657, DOI: 10.1111/j.0006-341x.2004.00176.x.Peer-Reviewed Original ResearchCommon ataxia telangiectasia mutated haplotypes and risk of breast cancer: a nested case–control study
Tamimi RM, Hankinson SE, Spiegelman D, Kraft P, Colditz GA, Hunter DJ. Common ataxia telangiectasia mutated haplotypes and risk of breast cancer: a nested case–control study. Breast Cancer Research 2004, 6: r416. PMID: 15217510, PMCID: PMC468661, DOI: 10.1186/bcr809.Peer-Reviewed Original ResearchMeSH KeywordsAdultAtaxia TelangiectasiaAtaxia Telangiectasia Mutated ProteinsBreast NeoplasmsCase-Control StudiesCell Cycle ProteinsCohort StudiesDNA-Binding ProteinsFemaleHaplotypesHumansMiddle AgedMutationNursesPolymorphism, Single NucleotideProtein Serine-Threonine KinasesRisk FactorsSurveys and QuestionnairesTumor Suppressor ProteinsConceptsSingle nucleotide polymorphismsATM geneDNA double-strand breaksNucleotide polymorphismsDouble-strand breaksEntire genomic sequenceTumor suppressor geneCommon variationCell cycle arrestHaplotype diversityUnique haplotypesGenomic sequencesAtaxia telangiectasiaSingle nucleotide polymorphism detectionSporadic breast cancer riskSuppressor geneCycle arrestGenesATM haplotypesPolymorphism detectionCommon haplotypeHaplotypesGenotype informationHaplotype analysisMutationsDietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies
Männistö S, Smith-Warner SA, Spiegelman D, Albanes D, Anderson K, van den Brandt PA, Cerhan JR, Colditz G, Feskanich D, Freudenheim JL, Giovannucci E, Goldbohm RA, Graham S, Miller AB, Rohan TE, Virtamo J, Willett WC, Hunter DJ. Dietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies. Cancer Epidemiology Biomarkers & Prevention 2004, 13: 40-48. PMID: 14744731, DOI: 10.1158/1055-9965.epi-038-3.Peer-Reviewed Original ResearchMeSH KeywordsCarotenoidsCohort StudiesConfidence IntervalsDietEuropeFemaleHumansLung NeoplasmsMaleNorth AmericaRegistriesRisk FactorsSmokingSurveys and QuestionnairesConceptsLung cancer riskCancer riskRelative riskCohort studyLung cancerRisk factorsIncident lung cancer casesBeta-cryptoxanthin intakeMultivariate relative riskBeta-carotene intakeStrong risk factorLung cancer casesPotential risk factorsLutein/zeaxanthinRandom-effects modelDietary questionnaireCurrent smokersMultivitamin useHistological typeIntervention trialsPooled analysisEpidemiological evidenceCancer casesCarotenoid intakeFood composition databases
2003
Dietary Fiber Reduces Peripheral Arterial Disease Risk in Men
Merchant AT, Hu FB, Spiegelman D, Willett WC, Rimm EB, Ascherio A. Dietary Fiber Reduces Peripheral Arterial Disease Risk in Men. Journal Of Nutrition 2003, 133: 3658-3663. PMID: 14608090, DOI: 10.1093/jn/133.11.3658.Peer-Reviewed Original ResearchConceptsPeripheral arterial disease riskCereal fiber intakeArterial disease riskPAD riskFiber intakeInverse associationDisease riskEarly coronary heart diseaseIncident PAD casesFood frequency questionnaireCoronary heart diseaseTotal fiber intakeOverall inverse associationDisease QuestionnaireFrequency questionnaireLowest quintileHeart diseaseCardiovascular diseaseFamily historyPhysical activityPAD casesAlcohol consumptionEnergy intakeIntakeRiskJoint Association of Alcohol and Folate Intake with Risk of Major Chronic Disease in Women
Jiang R, Hu FB, Giovannucci EL, Rimm EB, Stampfer MJ, Spiegelman D, Rosner BA, Willett WC. Joint Association of Alcohol and Folate Intake with Risk of Major Chronic Disease in Women. American Journal Of Epidemiology 2003, 158: 760-771. PMID: 14561666, DOI: 10.1093/aje/kwg221.Peer-Reviewed Original ResearchConceptsMajor chronic diseasesFolate intakeChronic diseasesCardiovascular diseaseLower total folate intakeJoint associationsMultivariate relative riskNonfatal cardiovascular diseaseTotal folate intakeHigh folate intakeAdequate folate intakeAge 60 yearsLow folate intakePrimary preventionNontraumatic deathsRelative riskHigh riskPrevious historyDietary dataHeavy drinkersNew casesYoung womenDiseaseHeavy drinkingIntake