2023
Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal
Paneru B, Karmacharya A, Bharati A, Makaju S, Adhikari B, Kafle D, Shakya S, Spiegelman D, Seth S, Stangl A, Shrestha A, Shrestha A. Association between cancer stigma and cervical cancer screening uptake among women of Dhulikhel and Banepa, Nepal. PLOS ONE 2023, 18: e0285771. PMID: 37200234, PMCID: PMC10194964, DOI: 10.1371/journal.pone.0285771.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesEarly Detection of CancerFemaleHealth Knowledge, Attitudes, PracticeHumansMass ScreeningNepalParityPregnancyUterine Cervical NeoplasmsConceptsCervical cancer screening uptakeCancer screening uptakeScreening uptakeMultivariable logistic regressionCancer Stigma ScaleCancer stigmaCervical cancerAge of menarcheFirst sexual intercourseLogistic regressionNepalese womenSexual intercourseReproductive health variablesCervical cancer screeningEffective screening programsSemi-urban areasCross-sectional studyPercent of womenMean total scoreFamily planning usersScreening servicesCancer screeningCommon cancerDisease burdenScreening program
2022
Assessing the quality of tuberculosis care using routine surveillance data: a process evaluation employing the Zero TB Indicator Framework in Mongolia
Saranjav A, Parisi C, Zhou X, Dorjnamjil K, Samdan T, Erdenebaatar S, Chuluun A, Dalkh T, Ganbaatar G, Brooks MB, Spiegelman D, Ganmaa D, Davis JL. Assessing the quality of tuberculosis care using routine surveillance data: a process evaluation employing the Zero TB Indicator Framework in Mongolia. BMJ Open 2022, 12: e061229. PMID: 35973702, PMCID: PMC9386240, DOI: 10.1136/bmjopen-2022-061229.Peer-Reviewed Original ResearchMeSH KeywordsContact TracingCross-Sectional StudiesHumansMaleMongoliaRetrospective StudiesTuberculosisTuberculosis, PulmonaryConceptsPrimary health centersTB preventive therapyRoutine surveillance dataHealth centersHousehold contactsCohort studyPreventive therapyTB careTB dispensariesRetrospective cross-sectional cohort studyCross-sectional cohort studySurveillance dataActive TB treatmentGuideline-adherent careHealth system predictorsQuality of tuberculosisOdds of patientsHealth system factorsQuality improvement interventionsLow-quality careCare cascadeTB screeningTB treatmentTuberculosis careIndex patientsAnemia Etiology in Ethiopia: Assessment of Nutritional, Infectious Disease, and Other Risk Factors in a Population-Based Cross-Sectional Survey of Women, Men, and Children
Andersen CT, Tadesse AW, Bromage S, Fekadu H, Hemler EC, Passarelli S, Spiegelman D, Sudfeld CR, Worku A, Berhane Y, Fawzi WW. Anemia Etiology in Ethiopia: Assessment of Nutritional, Infectious Disease, and Other Risk Factors in a Population-Based Cross-Sectional Survey of Women, Men, and Children. Journal Of Nutrition 2022, 152: 501-512. PMID: 34647598, PMCID: PMC8990104, DOI: 10.1093/jn/nxab366.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnemiaAnemia, Iron-DeficiencyChildCommunicable DiseasesCross-Sectional StudiesEthiopiaFemaleHumansMalePrevalenceRisk FactorsConceptsRisk factorsAnemia casesPopulation-based cross-sectional studyFolic acid food fortificationC-reactive protein levelsInfectious diseasesPopulation attributable risk percentageVitamin B12Proportion of anemiaDietary iron intakeCause of anemiaHelminth infection statusAttributable risk percentageLow serum ferritinLow serum folateVenous blood samplesPopulation-weighted prevalenceCross-sectional studyPublic health interventionsPotential public health interventionsCross-sectional surveyAssessment of NutritionalIron interventionsSerum ferritinAnemia etiology
2021
swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials
Chen J, Zhou X, Li F, Spiegelman D. swdpwr: A SAS macro and an R package for power calculations in stepped wedge cluster randomized trials. Computer Methods And Programs In Biomedicine 2021, 213: 106522. PMID: 34818620, PMCID: PMC8665077, DOI: 10.1016/j.cmpb.2021.106522.Peer-Reviewed Original ResearchMeSH KeywordsCluster AnalysisCross-Sectional StudiesHumansRandomized Controlled Trials as TopicResearch DesignSample SizeConceptsWedge clusterIntracluster correlation coefficientContinuous outcomesCross-sectional cohortBinary outcomesExchangeable correlation structureWedge designPublic health intervention evaluationsHealth services researchClosed cohort designPower calculationCohort designClosed cohortStudy designIntracluster correlationIntervention evaluationNeeds of investigatorsOutcomesTrialsCohortServices researchInvestigatorsPrevious studiesSWD
2012
Elevated alanine aminotransferase in antiretroviral‐naïve HIV‐infected African patients: magnitude and risk factors
Nagu T, Kanyangarara M, Hawkins C, Hertmark E, Chalamila G, Spiegelman D, Mugusi F, Fawzi W. Elevated alanine aminotransferase in antiretroviral‐naïve HIV‐infected African patients: magnitude and risk factors. HIV Medicine 2012, 13: 541-548. PMID: 22416813, PMCID: PMC3391335, DOI: 10.1111/j.1468-1293.2012.01006.x.Peer-Reviewed Original ResearchConceptsElevated alanine aminotransferaseIU/LAlanine aminotransferaseAntiretroviral therapyHigh riskWorld Health Organization clinical stageCD4 T-lymphocyte countFirst-line antiretroviral therapyHepatitis B virus coinfectionALT measurementsLow-density lipoprotein cholesterolLog-binomial regression modelsB virus coinfectionT-lymphocyte countsART-naïve HIVCells/μLHepatotoxic side effectsCurrent tuberculosis (TB) treatmentResource-limited settingsCross-sectional analysisAdvanced immunosuppressionHBV coinfectionART-naïveHIV careLipoprotein cholesterol
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
2006
Socio-economic and demographic factors associated with prevalence of HIV infection among pregnant women in Dar es Salaam, Tanzania
Msamanga G, Fawzi W, Hertzmark E, McGrath N, Kapiga S, Kagoma C, Spiegelman D, Hunter D. Socio-economic and demographic factors associated with prevalence of HIV infection among pregnant women in Dar es Salaam, Tanzania. East African Medical Journal 2006, 83: 311-321. PMID: 16989376, DOI: 10.4314/eamj.v83i6.9438.Peer-Reviewed Original ResearchConceptsHIV infectionAntenatal clinicHIV-1-positive womenDar es SalaamMaternal-foetal transmissionMid-arm circumferenceHIV-1 infectionDemographic characteristicsLow HIV prevalenceCross-sectional studyHIV prevalence ratesHIV/AIDS epidemicOpt-out approachLow-resource settingsPositive womenNevirapine treatmentHIV prevalencePregnant womenMaternal ageHigh prevalenceRegular partnersPrevalence ratesPartner's occupationTanzanian womenOlder age
2005
Insulin Resistance in HIV-Infected Men and Women in the Nutrition for Healthy Living Cohort
Jones CY, Wilson IB, Greenberg AS, Shevitz A, Knox TA, Gorbach SL, Spiegelman D, Jacobson DL, Wanke C. Insulin Resistance in HIV-Infected Men and Women in the Nutrition for Healthy Living Cohort. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2005, 40: 202-211. PMID: 16186739, DOI: 10.1097/01.qai.0000165910.89462.2f.Peer-Reviewed Original ResearchConceptsQuantitative insulin sensitivity check indexWorse insulin resistancePrevalence of IRInsulin resistanceNHANES IIIHigher high-density lipoproteinInsulin sensitivity check indexNutrition Examination Survey IIIHealthy Living cohortHealthy Living StudyHIV-Infected MenMore insulin resistanceActive antiretroviral therapyCD4 cell countCross-sectional study designInjection drug useLess insulin resistanceExamination Survey IIINHANES III participantsGreater waist circumferenceHigh-density lipoproteinLow-density lipoproteinProtease inhibitorsLiving cohortPI-HAARTPredictors of Bone Mineral Density in Human Immunodeficiency Virus‐1 Infected Children
Jacobson DL, Spiegelman D, Duggan C, Weinberg GA, Bechard L, Furuta L, Nicchitta J, Gorbach SL, Miller TL. Predictors of Bone Mineral Density in Human Immunodeficiency Virus‐1 Infected Children. Journal Of Pediatric Gastroenterology And Nutrition 2005, 41: 339-346. PMID: 16131991, DOI: 10.1097/01.mpg.0000174468.75219.30.Peer-Reviewed Original ResearchMeSH KeywordsAbsorptiometry, PhotonAntiretroviral Therapy, Highly ActiveBlack or African AmericanBody CompositionBody HeightBody Mass IndexBody WeightBone DensityCase-Control StudiesChildChild DevelopmentCross-Sectional StudiesFemaleHispanic or LatinoHIV InfectionsHIV-1HumansLongitudinal StudiesMalePredictive Value of TestsProspective StudiesSeverity of Illness IndexVitaminsWhite PeopleConceptsBMD Z-scoresBone mineral densityLower BMD Z-scoresMineral densityZ-scorePopulation normsMultivitamin useDietary intakePredictors of BMDTotal body bone mineral densityLower weight z-scoreBody bone mineral densityLow bone mineral densitySibling controlsBetter bone mineral densityDual-energy X-ray absorptiometry (DXA) examinationDual-energy X-ray absorptiometryLower height Z-scoresHuman immunodeficiency virus-1Energy X-ray absorptiometryAdvanced HIV stageAge-adjusted percentileIndependent risk factorGender-adjusted z-scoresWeight z-score
2004
Sexual 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 womenFactors influencing serum cystatin C levels other than renal function and the impact on renal function measurement
Knight EL, Verhave JC, Spiegelman D, Hillege HL, De Zeeuw D, Curhan GC, De Jong PE. Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement. Kidney International 2004, 65: 1416-1421. PMID: 15086483, DOI: 10.1111/j.1523-1755.2004.00517.x.Peer-Reviewed Original ResearchConceptsSerum cystatin C levelsCystatin C levelsSerum creatinine levelsSerum cystatin CRenal functionCreatinine levelsCreatinine clearanceCystatin CSerum creatininePartial Spearman correlationsC levelsCigarette smokingHigh serum C-reactive protein levelsHigher serum cystatin C levelsSerum C-reactive protein levelsC-reactive protein levelsSerum CRP levelsCurrent cigarette smokingRenal function measurementsSpearman correlationCross-sectional studyYears of ageCRP levelsMultivariate linear regression modelMale gender
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 consumptionAlcohol Consumption Patterns and HbA1c, C-Peptide and Insulin Concentrations in Men
Meyer KA, Conigrave KM, Chu NF, Rifai N, Spiegelman D, Stampfer MJ, Rimm EB. Alcohol Consumption Patterns and HbA1c, C-Peptide and Insulin Concentrations in Men. Journal Of The American Nutrition Association 2003, 22: 185-194. PMID: 12805244, DOI: 10.1080/07315724.2003.10719292.Peer-Reviewed Original ResearchConceptsC-peptideInsulin concentrationsAverage alcohol consumptionAlcohol consumptionAlcohol consumption patternsBlood samplesStudy participantsDrinking patternsDisease-free menC-peptide concentrationsModerate alcohol consumptionCross-sectional studyYears of ageFrequent alcohol consumptionFrequency of consumptionEffects of alcoholInsulin levelsBiologic markersInsulin sensitivityInverse associationAverage daily consumptionIrregular drinkersObservational studyAnalysis of insulinHealth professionalsUse of Complementary and Alternative Therapies by Patients With Human Immunodeficiency Virus Disease in the Era of Highly Active Antiretroviral Therapy
Bica I, Tang AM, Skinner S, Spiegelman D, Knox T, Gorbach S, Wilson IB. Use of Complementary and Alternative Therapies by Patients With Human Immunodeficiency Virus Disease in the Era of Highly Active Antiretroviral Therapy. Journal Of Alternative And Complementary Medicine 2003, 9: 65-76. PMID: 12676036, DOI: 10.1089/107555303321222955.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusActive antiretroviral therapyCAM useAntiretroviral therapyHighly Active Antiretroviral TherapyHuman immunodeficiency virus (HIV) diseaseCAM therapy useHealthy Living StudyPotential drug interactionsUse of ComplementaryLow-risk groupAlternative medical therapiesEffective drug treatmentCross-sectional analysisLeast high schoolHAART useCohort studyMale patientsMedical therapyTherapy useImmunodeficiency virusComplementary therapiesAlternative therapiesStudy visitRisk groups
2002
HIV status and sociodemographic correlates of maternal body size and wasting during pregnancy
Villamor E, Msamanga G, Spiegelman D, Coley J, Hunter D, Peterson K, Fawzi W. HIV status and sociodemographic correlates of maternal body size and wasting during pregnancy. European Journal Of Clinical Nutrition 2002, 56: 415-424. PMID: 12001012, DOI: 10.1038/sj.ejcn.1601328.Peer-Reviewed Original ResearchConceptsWeeks of gestationHIV infectionHIV statusPregnant womenFirst prenatal visitSocioeconomic statusSignificant risk factorsCross-sectional studyLow socioeconomic statusLevel of educationMean MUACAntenatal clinicMaternal heightPrenatal visitUninfected mothersSecond trimesterMaternal ageOverall prevalenceRisk factorsChild healthMother's ageMultivariate analysisFogarty International CenterSociodemographic correlatesBMIDemographic, family, and occupational characteristics associated with major depression: the Harvard study of moods and cycles
Harlow BL, Cohen LS, Otto MW, Liberman RF, Spiegelman D, Cramer DW. Demographic, family, and occupational characteristics associated with major depression: the Harvard study of moods and cycles. Acta Psychiatrica Scandinavica 2002, 105: 209-217. PMID: 11939975, DOI: 10.1034/j.1600-0447.2002.1o102.x.Peer-Reviewed Original ResearchConceptsMajor depressionNon-depressed womenStructured Clinical InterviewHistory of depressionCommunity-based samplePast major depressionOccupational characteristicsStudy enrollmentDepressed womenClinical InterviewDSM-IVAge 18Past depressionWomenDepressionDemographic differencesHarvard StudySibship size
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 lossPatterns of Adherence With Antiretroviral Medications: An Examination of Between-Medication Differences.
Wilson IB, Tchetgen E, Spiegelman D. Patterns of Adherence With Antiretroviral Medications: An Examination of Between-Medication Differences. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2001, 28: 259. PMID: 11694833, DOI: 10.1097/00042560-200111010-00009.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntiretroviral Therapy, Highly ActiveCohort StudiesCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedPatient ComplianceConceptsAntiretroviral medicationsAdherence issuesPatient differencesLast weekMore antiretroviral medicationsPercent of patientsPatterns of adherencePatient adherence issuesRepeated-measurements analysisCohort studyHIV infectionAntiretroviral adherenceAdherence ratesMean ageOverall adherenceMedicationsPatientsAdherence patternsPerfect adherencePerson varianceDosing timeAdherenceWeeksDoseReliability coefficientsWeight and body composition in a cohort of HIV-positive men and women
Forrester J, Spiegelman D, Woods M, Knox T, Fauntleroy J, Gorbach S. Weight and body composition in a cohort of HIV-positive men and women. Public Health Nutrition 2001, 4: 743-747. PMID: 11415480, DOI: 10.1079/phn200099.Peer-Reviewed Original Research