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 ResearchConceptsPhysical 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
Post-diagnosis weight trajectories and mortality among women with breast cancer
Puklin L, Li F, Cartmel B, Zhao J, Sanft T, Lisevick A, Winer E, Lustberg M, Spiegelman D, Sharifi M, Irwin M, Ferrucci L. Post-diagnosis weight trajectories and mortality among women with breast cancer. Npj Breast Cancer 2023, 9: 98. PMID: 38042922, PMCID: PMC10693588, DOI: 10.1038/s41523-023-00603-5.Peer-Reviewed Original ResearchBody mass indexBreast cancer diagnosisWeight changeCause mortalityClinical characteristicsWeight gainWeight lossBreast cancerWeight trajectoriesPost-diagnosis weight changeBreast cancer-specific mortalityCox proportional hazards modelModern treatment eraCancer-specific mortalityCancer diagnosisModerate weight lossModerate weight gainProportional hazards modelAdverse health outcomesElectronic health recordsTreatment eraBaseline characteristicsTumor RegistryMass indexWeight managementRandomized Trial Evaluating a Self-Guided Lifestyle Intervention Delivered via Evidence-Based Materials versus a Waitlist Group on Changes in Body Weight, Diet Quality, Physical Activity, and Quality of Life among Breast Cancer Survivors
Puklin L, Harrigan M, Cartmel B, Sanft T, Gottlieb L, Zhou B, Ferrucci L, Li F, Spiegelman D, Sharifi M, Irwin M. Randomized Trial Evaluating a Self-Guided Lifestyle Intervention Delivered via Evidence-Based Materials versus a Waitlist Group on Changes in Body Weight, Diet Quality, Physical Activity, and Quality of Life among Breast Cancer Survivors. Cancers 2023, 15: 4719. PMID: 37835412, PMCID: PMC10571774, DOI: 10.3390/cancers15194719.Peer-Reviewed Original ResearchBreast cancer survivorsCancer survivorsLifestyle interventionPhysical activityQuality of lifeBody weightWaitlist groupDiet qualitySelf-reported body weightWeight lossFavorable weight changeHealthy weight lossBody mass indexHealthy body weightGreater weight lossEvidence-based materialsDiverse healthcare settingsIntervention armMass indexClinical practicePositive behavior changeHealthcare settingsSurvivorsWeight changeInterventionMediation analysis in the presence of continuous exposure measurement error
Cheng C, Spiegelman D, Li F. Mediation analysis in the presence of continuous exposure measurement error. Statistics In Medicine 2023, 42: 1669-1686. PMID: 36869626, PMCID: PMC11320713, DOI: 10.1002/sim.9693.Peer-Reviewed Original ResearchConceptsBody mass indexExposure measurement errorPhysical activityMediation proportionHealth Professionals FollowCardiovascular disease incidenceProfessionals FollowMediation analysisMass indexCardiovascular diseaseLower riskStudy designEffect estimatesValidation study designContinuous exposureBiased effect estimatesTrue exposureMediatorsExposureValidation studyBinary outcomesHealth science studiesOutcomesRiskDisease incidence
2022
Cardiovascular Risk Factors Mediate the Long-Term Maternal Risk Associated With Hypertensive Disorders of Pregnancy
Stuart JJ, Tanz LJ, Rimm EB, Spiegelman D, Missmer SA, Mukamal KJ, Rexrode KM, Rich-Edwards JW. Cardiovascular Risk Factors Mediate the Long-Term Maternal Risk Associated With Hypertensive Disorders of Pregnancy. Journal Of The American College Of Cardiology 2022, 79: 1901-1913. PMID: 35550687, PMCID: PMC9176211, DOI: 10.1016/j.jacc.2022.03.335.Peer-Reviewed Original ResearchConceptsCVD risk factorsRates of CVDHealth Study IIRisk of CVDBody mass indexGestational hypertensionType 2 diabetesRisk factorsChronic hypertensionHypertensive disordersMass indexNurses' Health Study IIPrepregnancy body mass indexHistory of HDPCardiovascular risk factorsOverweight/obesityProportional hazards modelIncident CVDCVD preventionNormotensive pregnanciesFirst pregnancyPotential confoundersParental historyHypertensionHazards model
2020
Universal test and treat in relation to HIV disease progression: results from a stepped‐wedge trial in Eswatini
Boeke C, Khan S, Walsh F, Hettema A, Lejeune C, Spiegelman D, Okello V, Harwell J, Mazibuko S, Bärnighausen T. Universal test and treat in relation to HIV disease progression: results from a stepped‐wedge trial in Eswatini. HIV Medicine 2020, 22: 54-59. PMID: 32876360, DOI: 10.1111/hiv.12941.Peer-Reviewed Original ResearchConceptsBody mass indexStepped-wedge trialDisease progressionCD4 countSevere diseaseMultivariate Cox proportional hazards modelWorld Health Organization stageCox proportional hazards modelHIV disease progressionMorbidity/mortalityCells/Proportional hazards modelLower ratesIncident tuberculosisCD4 declineMass indexUniversal testHealth facilitiesBaseline valuesHazards modelHealth outcomesCrowded hospitalsWeight lossProgressionHIVCardiovascular disease trends in Nepal – An analysis of global burden of disease data 2017
Bhattarai S, Aryal A, Pyakurel M, Bajracharya S, Baral P, Citrin D, Cox H, Dhimal M, Fitzpatrick A, Jha AK, Jha N, Karmacharya BM, Koju R, Maharjan R, Oli N, Pyakurel P, Sapkota BP, Shrestha R, Shrestha S, Spiegelman D, Vaidya A, Shrestha A. Cardiovascular disease trends in Nepal – An analysis of global burden of disease data 2017. IJC Heart & Vasculature 2020, 30: 100602. PMID: 32775605, PMCID: PMC7399110, DOI: 10.1016/j.ijcha.2020.100602.Peer-Reviewed Original ResearchBurden of CVDCardiovascular diseaseGlobal burdenBlood pressureTotal DALYsRisk factorsDiet lowTotal deathsHigh low-density lipoprotein cholesterolHigher systolic blood pressureLow-density lipoprotein cholesterolMajor public health problemCardiovascular disease trendsPredominant cardiovascular diseasesCardiovascular disease incidenceDensity lipoprotein cholesterolSystolic blood pressureHigh blood pressureIschemic heart diseaseBody mass indexEvaluation's Global BurdenPublic health problemOlder age groupsLipoprotein cholesterolMiddle-income countries
2018
There is no impact of exposure measurement error on latency estimation in linear models
Peskoe SB, Spiegelman D, Wang M. There is no impact of exposure measurement error on latency estimation in linear models. Statistics In Medicine 2018, 38: 1245-1261. PMID: 30515870, PMCID: PMC6542365, DOI: 10.1002/sim.8038.Peer-Reviewed Original ResearchConceptsMeasurement error modelLinear measurement error modelsLeast squares estimatorStandard measurement error modelLinear modelError modelRegression coefficient estimatesLikelihood-based methodsMeasurement errorExposure measurement errorSquares estimatorWide classGeneralized linear modelMean functionStatistical modelCovariance structureError settingsNaive estimatorBody mass indexBehavioral risk factorsLatency parametersExposure-disease relationshipsPrimary disease modelTime-varying exposureCoefficient estimatesPhthalate Metabolites and Postmenopausal Breast Cancer Risk
Reeves K, Diaz S, Hankinson, Bigelow C, Zoeller, Manson J, Spiegelman D, Tinker L. Phthalate Metabolites and Postmenopausal Breast Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2018, 27: 355-355. DOI: 10.1158/1055-9965.epi-18-0052.Peer-Reviewed Original ResearchBreast cancer riskPhthalate metabolitesCancer riskWomen’s Health Initiative prospective cohortMultivariable conditional logistic regression analysisConditional logistic regression analysisHuman breast cancer riskIndividual phthalate metabolitesBody mass indexMono-2-ethylhexyl phthalateAnimal model evidenceCase-control studyHuman breast milkLogistic regression analysisRace/ethnicityProspective cohortSmoking statusEnrollment dateMass indexBreast milkProspective dataRisk ratioStudy groupMonoethyl phthalateResults Overall
2017
A Mixed-Methods Study on Acceptability, Tolerability, and Substitution of Brown Rice for White Rice to Lower Blood Glucose Levels among Nigerian Adults
Adebamowo SN, Eseyin O, Yilme S, Adeyemi D, Willett WC, Hu FB, Spiegelman D, Adebamowo CA, Initiative T. A Mixed-Methods Study on Acceptability, Tolerability, and Substitution of Brown Rice for White Rice to Lower Blood Glucose Levels among Nigerian Adults. Frontiers In Nutrition 2017, 4: 33. PMID: 28775984, PMCID: PMC5517499, DOI: 10.3389/fnut.2017.00033.Peer-Reviewed Original ResearchBody mass indexGlucose levelsTwo-hour postprandial blood glucoseMean body mass indexLarge-scale intervention trialsPostprandial glucose levelsPostprandial blood glucoseBlood sugar levelsTimes/weekType 2 diabetesBlood glucose levelsFocus group discussionsWhole grain productsBrown rice mealLong-term trialsBrown rice consumptionConsumption of mealsMass indexIntervention trialsMean ageBlood glucoseNigerian adultsWhite riceMetabolic disordersLower risk
2012
Track B Clinical Science
Kyrychenko T, Dubynska G, Koval T, Kaidashev I, Korshenko V, Rono K, Kibuuka H, Maganga L, Kosgei J, Sekiziyivu A, Sanga E, Ngetich E, Valenzuela A, Michael N, Robb M, Markowitz M, Evering T, Figueroa A, Rodriguez K, La Mar M, Garmon D, Sahi V, Mohri H, Asher A, Santos G, Dokubo E, Martin J, Deeks S, Tobler L, Busch M, Hunt P, Page K, Weber R, Smith C, Group D, Mannheimer S, Wang L, Tieu H, del Rio C, Buchbinder S, Wilton L, Glick S, Cummings V, Mayer K, Hutchinson A, Sansom S, Farnham P, Davis R, Dzoro S, Moyo S, Gaseitsiwe S, Musonda R, Novitsky V, Essex M, Ouma K, Basavaraju S, Okonji J, Williamson J, Mills L, Zeh C, Vallabhaneni S, Chandy S, Heylen E, Ekstrand M, Manasa J, McGrath N, Lessells R, Skingsley A, Newell M, de Oliveira T, Rawizza H, Chaplin B, Meloni S, Okonkwo P, Kanki P, Team T, Gale H, Gitterman S, Gordin F, Benator D, Kan V, Meya D, Rajasingham R, Rolfes M, Birkenkamp K, Boulware D, Bulterys P, Le T, Quang V, Nelson K, Lloyd‐Smith J, Luetkemeyer A, Rosenkranz S, Lu D, Lizak P, Ive P, Swindells S, Benson C, Grinsztejn B, Sanne I, Havlir D, Aweeka F, A5221 A, Sterling T, Benson C, Shang N, Miro J, Grinsztejn B, Chaisson R, Lucchetti A, Sanchez J, Scott N, Villarino E, Group T, McIlleron H, Martinson N, Denti P, Mashabela F, Hunt J, Shembe S, Hull J, Haas D, Msandiwa R, Cohn S, Chaisson R, Dooley K, Team T, Everitt D, Winter H, Egizi E, Everitt D, Murray S, Diacon A, Dawson R, Hutchings J, Van Niekerk C, Egizi E, Becker P, Hafkin J, Modongo C, Newcomb C, Lowenthal E, MacGregor R, Steenhoff A, Friedman H, Bisson G, Fitzgerald D, Jansen P, Chipungu C, Dindi V, Fielder J, Pfaff C, Bygrave H, Simons S, Munyaradzi D, Nyagadza B, Metcalf C, Ncube K, Van Den Broucke S, Mupfumi L, Mason P, Zinyowera S, Mutetwa R, Wallis R, Diacon A, Dawson R, Venter A, Friedrich S, Paige D, Zhu T, Silvia A, Gobey J, Ellery C, Zhang Y, Kadyszewski E, Brust J, Shah N, van der Merwe T, Bamber S, Mngadi A, Ning Y, Heo M, Moll A, Loveday M, Lalloo U, Friedland G, Gandhi N, Hawkins C, Christian B, Ye J, Nagu T, Aris E, Chalamilla G, Spiegelman D, Mugusi F, Mehta S, Fawzi W, Re V, Tate J, Kallan M, Lim J, Goetz M, Klein M, Rimland D, Rodriguez‐Barradas M, Butt A, Gibert C, Brown S, Kostman J, Strom B, Reddy R, Justice A, Localio R, Amorosa V, Umbleja T, Johnson V, Kang M, Luetkemeyer A, Bardin M, Haas D, Chung R, Yesmin S, Coughlin K, Martinez A, Adams M, Alston‐Smith B, Tebas P, Peters M, Kahn J, Xu J, Kapogiannis B, Rudy B, Liu N, Gonin R, Wilson C, Worrell C, Squires K, Kojic E, Cespedes M, Umbleja T, Kang M, Aberg J, Allen R, Grinsztein B, Firnhaber C, Webster‐Cyriaque J, Palefsky J, Godfrey C, Saah A, Cu‐Uvin S, Rangaka M, Boulle A, Wilkinson R, van Cutsem G, Goemaere E, Goliath R, Titus R, Mathee S, Maartens G, Shet A, Holla S, Raman V, Dinakar C, Ashok M, Dufouil C, Richert L, Bruyand M, Amieva H, Dauchy F, Dartigues J, Neau D, Dabis F, Morlat P, Bonnet F, Chene G, Group A, Nigo M, Walker A, Lucido D, Shah A, Skliut M, Mildvan D, Sahasrabuddhe V, Castle P, Follansbee S, Borgonovo S, LaMere B, Tokugawa D, Darragh T, Boyle S, Sadorra M, Tang S, Wentzensen N, Mills A, Mildvan D, Podzamczer D, Fätkenheuer G, Leal M, Than S, Valluri S, Craig C, Vourvahis M, Heera J, Valdez H, Brown T, Rinehart A, Portsmouth S, Gallant J, Koenig E, Andrade‐Villanueva J, Chetchotisakd P, Dejesus E, Antunes F, Arastéh K, Moyle G, Rizzardini G, Fehr J, Liu Y, Zhong L, Callebaut C, Ramanathan S, Szwarcberg J, Rhee M, Cheng A, Palella F, Tebas P, Gazzard B, Ruane P, Shamblaw D, Flamm J, Fisher M, van Lunzen J, Ebrahimi R, White K, Guyer B, Graham H, Fralich T, Elion R, Molina J, Arribas‐Lopez J, Cooper D, Maggiolo F, Wilkins E, Conway B, Liu Y, Zhong L, Margot N, Szwarcberg J, Rhee M, Cheng A, Raffi F, Rachlis A, Stellbrink H, Hardy W, Torti C, Orkin C, Bloch M, Podzamczer D, Pokrovsky V, Almond S, Margolis D, Min S, Team T, Karasi J, Musonera F, Iranyumviye K, Servais J, Devaux C, Binagwaho A, Arendt V, Shafer R, Zolopa A, Schmit J, Rimsky L, Van Eygen V, Vingerhoets J, Thys K, Aerssens J, Stevens M, Picchio G, van Zyl G, Claassen M, Engelbrecht S, de Oliveira T, Preiser W, Wood N, Travers S, Shafer R, Charpentier C, Landman R, Laouénan C, Joly V, Hamet G, Damond F, Brun‐Vézinet F, Mentré F, Descamps D, Yeni P, Grinsztejn B, De Castro N, Arnold V, Veloso V, Morgado M, Pilotto J, Brites C, Madruga J, Barcellos N, Santos B, Vorsatz C, Grondin C, Santini‐Oliveira M, Patey O, Delaugerre C, Chêne G, Molina J, group A, Venuto C, Mollan K, Ma Q, Daar E, Sax P, Fischl M, Collier A, Smith K, Lu D, Tierney C, Morse G, Team A, Haas D, Acosta E, Vardhanabhuti S, Ribaudo H, Severe P, Lalloo U, Kumarasamy N, Taulo F, Kabanda J, Oneko O, Ive P, Sambarey P, Chan E, Hitti J, McMahon D, Group F, Gandhi M, Greenblatt R, Bacchetti P, Jin C, Cohen M, Dehovitz J, Anastos K, Gange S, Liu C, Hanson S, Aouizerat B, Study W, Gervasoni C, Baldelli S, Cerea M, Meraviglia P, Landonio S, Simioni M, Gazzaniga A, Galli M, Rizzardini G, Clementi E, Cattaneo D, Grinsztejn B, Hosseinipour M, Swindells S, Ribaudo H, Eron J, Chen Y, Wang L, Ou S, Anderson M, McCauley M, Gamble T, Kumarasamy N, Hakim J, Kumwenda J, Pilotto J, Godbole S, Chariyalertsak S, Santos B, Mayer K, Eshleman S, Piwowar‐Manning E, Cottle L, Makhema J, Mills L, Panchia R, Sanne I, Elharrar V, Havlir D, Cohen M, Team F, Kanki P, Chang C, Meloni S, Rawizza H, Jolayemi T, Banigbe‐Aluko B, Okonkwo P, team H, Rewari B, Shaukat M, Kabra S, Srikantiah P, Lundgren J, Europe C, Colombero C, Rocco C, Mecikovsky D, Bologna R, Aulicino P, Sen L, Mangano A, Nielsen‐Saines K, Mirochnick M, Kumwenda N, Joao E, Kreitchmann R, Pinto J, Santos B, Parsons T, Richardson P, Taha T, Mofenson L, Sato P, Kearney B, Fowler M, Hazra R, Viani R, Acosta E, Zheng N, Alvero C, O'Gara E, Petzold E, Heckman B, Steimers D, Song I, Piscitelli S, Wiznia A, Team P, Cotton M, Cassim H, Pavía‐Ruz N, Ross L, Ford S, Givens N, Cheng K, Sievers J, Tudor‐Williams G, Cahn P, Chokephaibulkit K, Fourie J, Karatzios C, Dincq S, Kakuda T, Nijs S, Tambuyzer L, Tomaka F, Nachman S, Acosta E, Zheng N, Teppler H, Homony B, Xu X, Alvero C, Handelsman E, Worrell C, Graham B, Toye M, Petzold E, Wiznia A, Group A, Miruka A, Achieng R, Aoko A, Tarus J, Sigei C, Yegon P, Maswai J, Sawe F, Shaffer D, Crawford K, Kanjanavanit S, Puthanakit T, Kosalaraksa P, Hansudewechakul R, Ngampiyaskul C, Pinyakorn S, Luesomboon W, Vonthanak S, Ananworanich J, Ruxrungtham K, group P, Miller T, Wang J, Jacobson D, Takemoto J, Sharma T, Geffner M, Libutti D, Siminski S, Dooley L, Somarriba G, Graham P, Gerschenson M, van Ramshorst M, Struthers H, McIntyre J, Peters R, Himes S, Scheidweiler K, Tassiopoulos K, Kacanek D, Hazra R, Rich K, Huestis M, Study F, O'Brien M, Nardi M, Montenont E, Valdes V, Hu L, Merolla M, Gettenberg G, Aberg J, Bhardwaj N, Berger J, Kelesidis T, Kendall M, Yang O, Currier J, McComsey G, Kitch D, Sax P, Tierney C, Jahed N, Melbourne K, Ha B, Brown T, Bloom A, Fedarko N, Daar E, A5224s A, Schouten J, Wit F, Stolte I, van der Valk M, Geerlings S, de Wolf F, Prins M, Reiss P, Sax P, Sypek A, Morris B, Losina E, Paltiel A, Seage G, Walensky R, Weinstein M, Eron J, Freedberg K. Track B Clinical Science. Journal Of The International AIDS Society 2012, 15: 18439-01. PMCID: PMC3499900, DOI: 10.7448/ias.15.5.18439.Peer-Reviewed Original ResearchSecond-line antiretroviral therapyFirst-line antiretroviral therapyPlasma HIV-1 RNANNRTI resistance-associated mutationsHIV-1-infected adultsIsoniazid preventive therapyRitonavir-boosted protease inhibitorAcute HIV infectionCardiovascular risk factorsCD4 cell countCombination antiretroviral therapyHIV-1-infected patientsSerious adverse eventsATV/rCells/mm3Genotypic resistance testingGeometric mean titersLow-level viremiaTDF/FTCCommon adverse eventsCAP/CTMBody mass indexHIV-1 RNAAZT/3TC/nevirapineAZT/3TC/NVP
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
2006
Alcohol intake and ovarian cancer risk: a pooled analysis of 10 cohort studies
Genkinger JM, Hunter DJ, Spiegelman D, Anderson KE, Buring JE, Freudenheim JL, Goldbohm RA, Harnack L, Hankinson SE, Larsson SC, Leitzmann M, McCullough ML, Marshall J, Miller AB, Rodriguez C, Rohan TE, Schatzkin A, Schouten LJ, Wolk A, Zhang SM, Smith-Warner SA. Alcohol intake and ovarian cancer risk: a pooled analysis of 10 cohort studies. British Journal Of Cancer 2006, 94: 757-762. PMID: 16495916, PMCID: PMC2361197, DOI: 10.1038/sj.bjc.6603020.Peer-Reviewed Original ResearchConceptsOvarian cancer riskCohort studyCancer riskPooled analysisAlcohol intakeRelative riskStudy-specific relative risksCox proportional hazards modelDepletion of folateModerate alcohol intakeOral contraceptive useProspective cohort studyHormone replacement therapyBody mass indexConfidence intervalsLevels of estrogenSerous ovarian cancerProportional hazards modelRandom-effects modelOvarian casesMenopausal statusMass indexReplacement therapyFolate intakeOvarian cancer
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 populationInfluence 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 cohortHigh 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
In utero exposures and the incidence of endometriosis
Missmer SA, Hankinson SE, Spiegelman D, Barbieri RL, Michels KB, Hunter DJ. In utero exposures and the incidence of endometriosis. Fertility And Sterility 2004, 82: 1501-1508. PMID: 15589850, DOI: 10.1016/j.fertnstert.2004.04.065.Peer-Reviewed Original ResearchConceptsHealth Study IIIncidence of endometriosisMultiple gestationsFetal environmentNurses' Health Study IIRate of endometriosisProspective cohort studyBody mass indexDiethylstilbestrol exposurePast infertilityPremature deliveryCohort studyMass indexUtero exposureInfertility statusIncidence rateEndometriosis diagnosisMAIN OUTCOMEUS womenEndometriosisAge 18BirthweightStudy IIEffect estimatesWomenSexual Orientation, Health Risk Factors, and Physical Functioning in the Nurses' Health Study II
Case P, Austin SB, Hunter DJ, Manson JE, Malspeis S, Willett WC, Spiegelman D. Sexual Orientation, Health Risk Factors, and Physical Functioning in the Nurses' Health Study II. Journal Of Women's Health 2004, 13: 1033-1047. PMID: 15665660, DOI: 10.1089/jwh.2004.13.1033.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingBisexualityBody Mass IndexBreast NeoplasmsCardiovascular DiseasesCross-Sectional StudiesDepressionFemaleHealth BehaviorHealth StatusHomosexuality, FemaleHumansLinear ModelsMental HealthMiddle AgedMultivariate AnalysisNurse CliniciansPrevalenceProspective StudiesRisk FactorsSmokingTime FactorsUnited StatesConceptsNurses' Health Study IIHealth Study IIBody mass indexRisk factorsHealth risk factorsHigh prevalenceRegion of residenceOverall cohortBreast cancerHealth statusHigher daily alcohol intakeCardiovascular disease risk factorsBreast cancer risk factorsHigher body mass indexStudy IIMultivariate prevalence ratiosDaily alcohol intakeDisease risk factorsUse of antidepressantsCancer risk factorsHealth-related functioningImportant risk factorMental health statusPoor mental healthBisexual womenIncidence of Laparoscopically Confirmed Endometriosis by Demographic, Anthropometric, and Lifestyle Factors
Missmer SA, Hankinson SE, Spiegelman D, Barbieri RL, Marshall LM, Hunter DJ. Incidence of Laparoscopically Confirmed Endometriosis by Demographic, Anthropometric, and Lifestyle Factors. American Journal Of Epidemiology 2004, 160: 784-796. PMID: 15466501, DOI: 10.1093/aje/kwh275.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionAlcohol DrinkingAnthropometryBody ConstitutionBody Mass IndexDemographyEndometriosisFemaleFollow-Up StudiesHumansIncidenceInfertility, FemaleLaparoscopyLife StyleMiddle AgedMultivariate AnalysisNursesObesityPremenopauseProportional Hazards ModelsRisk FactorsSmokingStatistics, NonparametricUnited StatesWhite PeopleConceptsBody mass indexMass indexCigarette smokingLifestyle factorsNurses' Health Study II prospective cohortMultivariate Cox proportional hazards modelWaist/hip ratioCurrent body mass indexCox proportional hazards modelCurrent alcohol intakeCurrent cigarette smokingIncidence of endometriosisAge 18 yearsProportional hazards modelAfrican American womenPast infertilityLaparoscopic diagnosisProspective cohortAlcohol intakeHip ratioInfertility statusCaucasian womenIncidence rateCaffeine intakeHazards modelDietary Fiber and Risk of Coronary Heart Disease: A Pooled Analysis of Cohort Studies
Pereira MA, O'Reilly E, Augustsson K, Fraser GE, Goldbourt U, Heitmann BL, Hallmans G, Knekt P, Liu S, Pietinen P, Spiegelman D, Stevens J, Virtamo J, Willett WC, Ascherio A. Dietary Fiber and Risk of Coronary Heart Disease: A Pooled Analysis of Cohort Studies. JAMA Internal Medicine 2004, 164: 370-376. PMID: 14980987, DOI: 10.1001/archinte.164.4.370.Peer-Reviewed Original ResearchConceptsCoronary heart diseaseDietary fiber intakeHeart diseaseFiber intakeCoronary deathCoronary eventsCohort studyPooled analysisD incrementDietary fiberVegetable fiber intakeProspective cohort studyBody mass indexSex-specific resultsMass indexLifestyle factorsCoronary casesEpidemiologic studiesDiseaseIntakeDeathRiskWomenTotal dietary fiberMen