2024
The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota
Kase B, Liese A, Zhang J, Murphy E, Zhao L, Steck S. The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota. Nutrients 2024, 16: 1045. PMID: 38613077, PMCID: PMC11013161, DOI: 10.3390/nu16071045.Peer-Reviewed Original ResearchConceptsGut microbiota diversityGut microbiotaMicrobiota diversityGut microbiota profileFermented dairyMicrobiota profilesWhole grainsRed meatMeatProcessed meatGreen teaMicrobiotaDietary indicesDietary componentsGutDietHigh-fat dietNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyDietary recall dataAssociation of dietGrainNutrition Examination SurveyHigh-fatAssociated with biomarkers
2023
Opium use and risk of colorectal cancer: a multi-center case-referent study in Iran
Hadji M, Marzban M, Rashidian H, Naghibzadeh-Tahami A, Gholipour M, Mohebbi E, Safari-Faramani R, Seyyedsalehi M, Hosseini B, Alizadeh-Navaei R, Rezaianzadeh A, Moradi A, ShahidSales S, Najafi F, Moazed V, Haghdoost A, Rahimi-Movaghar A, Etemadi A, Malekzadeh R, Boffetta P, Weiderpass E, Kamangar F, Zendehdel K, Pukkala E. Opium use and risk of colorectal cancer: a multi-center case-referent study in Iran. Acta Oncologica 2023, 62: 1661-1668. PMID: 37934078, DOI: 10.1080/0284186x.2023.2276326.Peer-Reviewed Original ResearchConceptsRisk of colorectal cancerCase-referent studyOpium useColorectal cancerIncreased risk of CRCOdds ratioMultivariable unconditional logistic regression modelOccupational physical activityUnconditional logistic regression modelsIncreased risk of cancerColorectal cancer casesIncreased riskConsumption of red meatMeasure odds ratiosRisk of cancerInternational Agency for Cancer ResearchLogistic regression modelsPhysical activityTrained interviewersSocioeconomic statusPotential confoundersMarital statusFamily historyRed meatOpium consumption
2021
A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation design
Chen X, Chang J, Spiegelman D, Li F. A Bayesian approach for estimating the partial potential impact fraction with exposure measurement error under a main study/internal validation design. Statistical Methods In Medical Research 2021, 31: 404-418. PMID: 34841964, DOI: 10.1177/09622802211060514.Peer-Reviewed Original ResearchConceptsPotential impact fractionImpact fractionExposure measurement errorHealth professionalsStudy designColorectal cancer incidenceValidation study designBurden of diseaseRisk factorsCancer incidenceHealth StudyDisease casesPublic health studiesRed meatContinuous exposureExposureProfessionalsIncidenceReclassification approachValidation designDiseaseIntakeDiet and Nutrition in Gynecological Disorders: A Focus on Clinical Studies
Afrin S, AlAshqar A, Sabeh M, Miyashita-Ishiwata M, Reschke L, Brennan JT, Fader A, Borahay MA. Diet and Nutrition in Gynecological Disorders: A Focus on Clinical Studies. Nutrients 2021, 13: 1747. PMID: 34063835, PMCID: PMC8224039, DOI: 10.3390/nu13061747.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsGynecological disordersDietary habitsPolycystic ovary syndromeCurrent clinical dataPotential confounding factorsPlant-derived natural compoundsOvary syndromeGynecological malignanciesVitamin DGynecological diseasesClinical dataClinical studiesUterine leiomyomaPhysical activityMediterranean dietConfounding factorsEpidemiological investigationsHealthy lifestyleHomeostatic functionsRed meatBalanced dietNutritional factorsNutritional dataDietDisorders
2020
Global Dietary Intake in Relation to the EAT Lancet Commission’s Scientific Targets; Results from the Global Dietary Database 2015
Reedy J, Cudhea F, Miller V, Zhang J, Shi P, Puklin L, Coates J, Micha R, Mozaffarian D. Global Dietary Intake in Relation to the EAT Lancet Commission’s Scientific Targets; Results from the Global Dietary Database 2015. Current Developments In Nutrition 2020, 4: nzaa053_100. PMCID: PMC7258514, DOI: 10.1093/cdn/nzaa053_100.Peer-Reviewed Original ResearchGlobal Dietary DatabaseDietary intakeEAT-LancetPopulation subgroupsWhole grainsDietary databaseNon-starchy vegetablesDietary intake dataActual dietary intakeGlobal dietary patternsIndividual-level dataCountry-level covariatesRural adultsUrban/rural residenceEAT-Lancet CommissionDietary targetsStarchy vegetablesHealthy dietDietary patternsIntake dataDietary factorsEducation levelStratum-specificRed meatPlanetary health
2018
The effect of risk factor misclassification on the partial population attributable risk
Wong BHW, Peskoe SB, Spiegelman D. The effect of risk factor misclassification on the partial population attributable risk. Statistics In Medicine 2018, 37: 1259-1275. PMID: 29333614, PMCID: PMC6003717, DOI: 10.1002/sim.7559.Peer-Reviewed Original ResearchConceptsPartial population attributable riskPopulation attributable riskRisk factorsAttributable riskRelative riskMultivariate-adjusted relative riskRed meatHealth Professionals FollowModifiable risk factorsLow folate intakeExposure of interestBackground risk factorsProfessionals FollowAlcohol intakeColorectal cancerFolate intakePublic health researchMultifactorial diseasePreventive interventionsPopulation-level impactJoint prevalenceHealth researchRiskIntakeExposure
2014
Red meat and fruit intake is prognostic among patients with localized cutaneous melanomas more than 1mm thick
Rothberg BE, Bulloch K, Fine J, Barnhill R, Berwick M. Red meat and fruit intake is prognostic among patients with localized cutaneous melanomas more than 1mm thick. Cancer Epidemiology 2014, 38: 599-607. PMID: 25194935, PMCID: PMC4229370, DOI: 10.1016/j.canep.2014.08.005.Peer-Reviewed Original ResearchConceptsMelanoma-specific survivalLocalized cutaneous melanomaFruit consumptionPost-diagnostic measuresDaily fruit consumptionModifiable lifestyle behaviorsRed meatBreslow thicknessCutaneous melanomaAssociated with melanoma-specific survivalRed meat consumptionAssociated with worse outcomesSurvivorship periodLifestyle behaviorsCancer survivorsPhysical activityTobacco cessationFruit intakeNon-therapeutic interventionsTime of diagnosisCox proportional hazardsHigh fish consumptionDietary choicesIndex melanomaIndependent associations
2011
Meat consumption and the risk of incident distal colon and rectal adenoma
Ferrucci LM, Sinha R, Huang WY, Berndt SI, Katki HA, Schoen RE, Hayes RB, Cross AJ. Meat consumption and the risk of incident distal colon and rectal adenoma. British Journal Of Cancer 2011, 106: 608-616. PMID: 22166801, PMCID: PMC3281548, DOI: 10.1038/bjc.2011.549.Peer-Reviewed Original ResearchConceptsDistal colorectal adenomaColorectal adenomasOdds ratioRectal adenomasOvarian Cancer Screening TrialSuggestive positive associationCancer Screening TrialMultivariate logistic regressionEarly colorectal carcinogenesisNitrate/nitriteScreening armDistal colonColorectal carcinogenesisEarly neoplasiaScreening TrialAdenomasLogistic regressionRed meatRole of meatSingle screeningConfidence intervalsPrevalent eventPositive associationHaeme ironMutagenic activityA dietary pattern characterized by higher intake of fruits and vegetables is inversely associated with inflammatory markers in Latinos diagnosed with type 2 diabetes
Calle M, Vega‐López S, Segura‐Pérez S, Volek J, Pérez‐Escamilla R, Fernandez M. A dietary pattern characterized by higher intake of fruits and vegetables is inversely associated with inflammatory markers in Latinos diagnosed with type 2 diabetes. The FASEB Journal 2011, 25: 595.4-595.4. DOI: 10.1096/fasebj.25.1_supplement.595.4.Peer-Reviewed Original ResearchFirst dietary patternType 2 diabetesDietary patternsFood groupsTumor necrosis factor alphaDark yellow vegetablesDietary pattern analysisNecrosis factor alphaPotential confounding factorsInflammatory markersInflammatory biomarkersInflammatory statusWaist circumferenceIL-6Sugar-free beveragesInterleukin-6TNF-alphaYellow vegetablesRank regression analysisFactor alphaHigh intakeFood patternsConfounding factorsRed meatDiabetes
2010
Meat and components of meat and the risk of bladder cancer in the NIH‐AARP Diet and Health Study
Ferrucci LM, Sinha R, Ward MH, Graubard BI, Hollenbeck AR, Kilfoy BA, Schatzkin A, Michaud DS, Cross AJ. Meat and components of meat and the risk of bladder cancer in the NIH‐AARP Diet and Health Study. Cancer 2010, 116: 4345-4353. PMID: 20681011, PMCID: PMC2936663, DOI: 10.1002/cncr.25463.Peer-Reviewed Original ResearchConceptsNIH-AARP DietBladder cancerHazard ratioDietary nitriteBladder carcinogenesisHealth StudyProspective NIH-AARP DietRed meatFood frequency questionnaireConfidence intervalsBladder cancer casesHeterocyclic aminesIntake of nitratePositive associationDietary nitrateNitrite intakeCancerTop quintileComponents of meatRiskIntakeCarcinogenesisAssociationDiet
2009
Intake of meat, meat mutagens, and iron and the risk of breast cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial
Ferrucci LM, Cross AJ, Graubard BI, Brinton LA, McCarty CA, Ziegler RG, Ma X, Mayne ST, Sinha R. Intake of meat, meat mutagens, and iron and the risk of breast cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. British Journal Of Cancer 2009, 101: 178-184. PMID: 19513076, PMCID: PMC2713710, DOI: 10.1038/sj.bjc.6605118.Peer-Reviewed Original ResearchConceptsOvarian Cancer Screening TrialCancer Screening TrialBreast cancerDietary ironMeat mutagensHazard ratioScreening TrialSubsequent breast cancer riskCox proportional hazards regressionInvasive breast cancer casesRed meatFood frequency questionnaireInvasive breast cancerQuintiles of intakeProportional hazards regressionHaem iron intakeIntake of meatBreast cancer riskConfidence intervalsBreast cancer casesHeterocyclic aminesFrequency questionnaireHazards regressionProspective studyIron intakeDietary Meat Intake in Relation to Colorectal Adenoma in Asymptomatic Women
Ferrucci LM, Sinha R, Graubard BI, Mayne ST, Ma X, Schatzkin A, Schoenfeld PS, Cash BD, Flood A, Cross AJ. Dietary Meat Intake in Relation to Colorectal Adenoma in Asymptomatic Women. The American Journal Of Gastroenterology 2009, 104: ajg2009102. PMID: 19367270, PMCID: PMC2891034, DOI: 10.1038/ajg.2009.102.Peer-Reviewed Original ResearchMeSH KeywordsAdenomaAdultAgedColonoscopyColorectal NeoplasmsConfidence IntervalsCookingCross-Sectional StudiesDietFemaleFollow-Up StudiesHeterocyclic CompoundsHumansIncidenceLogistic ModelsMass ScreeningMeat ProductsMiddle AgedMultivariate AnalysisOdds RatioReference ValuesRisk AssessmentSeverity of Illness IndexConceptsColorectal adenomasAsymptomatic womenMeat intakeOdds ratioRed meatMeat-cooking methodsColorectal adenoma casesConfidence intervalsPan-fried meatDietary meat intakeEligible womenDoneness levelFood frequencyAdenoma casesHigh intakeAdenomasMeat mutagensLogistic regressionIntakeWomenScreening studyColonoscopyComponents of meatPositive associationFurther investigation
2008
Food group intake and risk of subtypes of esophageal and gastric cancer
Silvera S, Mayne ST, Risch H, Gammon MD, Vaughan TL, Chow W, Dubrow R, Schoenberg JB, Stanford JL, West AB, Rotterdam H, Blot WJ, Fraumeni JF. Food group intake and risk of subtypes of esophageal and gastric cancer. International Journal Of Cancer 2008, 123: 852-860. PMID: 18537156, PMCID: PMC3008621, DOI: 10.1002/ijc.23544.Peer-Reviewed Original ResearchConceptsGastric cardia adenocarcinomaNoncardia gastric adenocarcinomaHigh-fat dairyFood group intakesCardia adenocarcinomaGastric adenocarcinomaEsophageal adenocarcinomaGroup intakesOdds ratioGastric cancerHigh intakePopulation-based case-control studyNon-cardia gastric adenocarcinomaEsophageal squamous cell carcinomaRed meatTotal meat intakeSquamous cell carcinomaTotal vegetable intakeRisk of subtypesEsophageal adenocarcinoma riskCase-control studyGastric cardiaAdenocarcinoma riskCell carcinomaRisk factors
2007
Differential expression of α-methylacyl-coenzyme A racemase in colorectal carcinoma bears clinical and pathologic significance
Lin A, Weiser M, Klimstra D, Paty P, Tang L, Al-Ahmadie H, Park S, Guillem J, Temple L, Wong W, Gerald W, Shia J. Differential expression of α-methylacyl-coenzyme A racemase in colorectal carcinoma bears clinical and pathologic significance. Human Pathology 2007, 38: 850-856. PMID: 17442371, DOI: 10.1016/j.humpath.2006.12.016.Peer-Reviewed Original ResearchConceptsAlpha-methylacyl-coenzyme A racemaseAmerican Joint Committee on CancerAlpha-methylacyl-coenzyme A racemase expressionDisease-specific survivalLow-intensity stainingColorectal carcinomaLymphovascular invasionPeroxisomal beta-oxidation of branched-chain fatty acidsAlpha-methylacyl coenzyme A racemase stainingOverexpression of alpha-methylacyl coenzyme A racemasePatient outcomesPathological characteristicsAmerican Joint Committee on Cancer stagePresence of lymphovascular invasionAssociated with prostate cancer progressionModerate to strong stainingHigher American Joint Committee on CancerTumor pathological characteristicsTumor pathologic featuresPrimary colorectal carcinomaProstate cancer progressionPoor tumor differentiationBeta-oxidation of branched-chain fatty acidsRed meatImmunohistochemical expression pattern
2003
Premenopausal Fat Intake and Risk of Breast Cancer
Cho E, Spiegelman D, Hunter DJ, Chen WY, Stampfer MJ, Colditz GA, Willett WC. Premenopausal Fat Intake and Risk of Breast Cancer. Journal Of The National Cancer Institute 2003, 95: 1079-1085. PMID: 12865454, DOI: 10.1093/jnci/95.14.1079.Peer-Reviewed Original ResearchConceptsBreast cancer riskDietary fat intakeHigh-fat dairy foodsHealth Study IIFat intakeBreast cancerCancer riskRelative riskPremenopausal womenIncident invasive breast cancerNurses' Health Study IIElevated breast cancer riskRed meatMultivariable relative risksAnimal fat intakeFood frequency questionnaireInvasive breast cancerConfidence intervalsCase-control studyDairy foodsPremenopausal yearsPostmenopausal womenProspective studyHighest quintileLowest quintile
2002
Meat and dairy food consumption and breast cancer: a pooled analysis of cohort studies
Missmer SA, Smith-Warner SA, Spiegelman D, Yaun SS, Adami HO, Beeson WL, van den Brandt PA, Fraser GE, Freudenheim JL, Goldbohm RA, Graham S, Kushi LH, Miller AB, Potter JD, Rohan TE, Speizer FE, Toniolo P, Willett WC, Wolk A, Zeleniuch-Jacquotte A, Hunter DJ. Meat and dairy food consumption and breast cancer: a pooled analysis of cohort studies. International Journal Of Epidemiology 2002, 31: 78-85. PMID: 11914299, DOI: 10.1093/ije/31.1.78.Peer-Reviewed Original ResearchConceptsBreast cancer riskDairy food consumptionBreast cancerCancer riskCohort studyNon-dietary risk factorsSignificant associationFood consumptionIncident breast cancer casesEgg consumptionProspective cohort studyInvasive breast cancerDietary assessment instrumentsIntake of meatBreast cancer casesPooled analysisRisk factorsCancer casesPooled databaseNutrient intakeUsual foodCancerRed meatTotal meatWomen
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