2024
Nitrate exposure from drinking water and dietary sources among Iowa farmers using private wells
Skalaban T, Thompson D, Madrigal J, Blount B, Espinosa M, Kolpin D, Deziel N, Jones R, Beane Freeman L, Hofmann J, Ward M. Nitrate exposure from drinking water and dietary sources among Iowa farmers using private wells. The Science Of The Total Environment 2024, 919: 170922. PMID: 38350573, DOI: 10.1016/j.scitotenv.2024.170922.Peer-Reviewed Original ResearchConceptsMaximum contaminant levelUrinary nitrate concentrationDietary intakeNitrate concentrationsNitrate excretionNitrate exposureDietary nitrateDrinking waterDietary assessment toolsPrivate wellsAssociated with adverse health risksVulnerable to nitrate contaminationWater nitrate concentrationsNitrate ingestionAdverse health risksAgricultural Health StudyDrinking water intakeMedian intakeProspective cohortUrinary nitrateDietary nitrate ingestionContamination levelsNitrate contaminationNitrate intakeHealth Study
2020
Zinc Levels and Birth Weight in Pregnant Women with Gestational Diabetes Mellitus: A Matched Cohort Study in China
Luo J, Wu W, Zhang P, Chen X, Feng Y, Ma N, Yang H, Wang Y, Li M, Xie B, Guo P, Liew Z, Deziel NC, Vasiliou V, Shi X, Wang S, Zhang Y. Zinc Levels and Birth Weight in Pregnant Women with Gestational Diabetes Mellitus: A Matched Cohort Study in China. The Journal Of Clinical Endocrinology & Metabolism 2020, 105: dgaa171. PMID: 32285111, DOI: 10.1210/clinem/dgaa171.Peer-Reviewed Original ResearchConceptsGestational diabetes mellitusBirth weightMaternal bloodDiabetes mellitusFetal growthZn intakeMatched Cohort StudyZn levelsDietary Zn intakeCohort studyPregnant womenPlacental transportMultinomial logistic regressionZ-scoreZinc levelsLogistic regressionAdverse effectsWomenMellitusPregnancyLow groupInadequate ZnSuggestive associationAssociationIntake
2017
Child, maternal and household-level correlates of nutritional status: a cross-sectional study among young Samoan children
Choy CC, Desai MM, Park JJ, Frame EA, Thompson AA, Naseri T, Reupena MS, Duckham RL, Deziel NC, Hawley NL. Child, maternal and household-level correlates of nutritional status: a cross-sectional study among young Samoan children. Public Health Nutrition 2017, 20: 1235-1247. PMID: 28162141, PMCID: PMC10261405, DOI: 10.1017/s1368980016003499.Peer-Reviewed Original ResearchConceptsOverweight/obesityCross-sectional community-based surveyNutritional statusOdds of anemiaOverweight/obeseCross-sectional studyPrevalence of stuntingCommunity-based surveyCondition-specific interventionsMother-child pairsNutritional status outcomesEarly childhood growthHigher family socio-economic statusAnemic mothersObese childrenSugar intakeSamoan childrenChildhood growthStatus outcomesSocio-economic statusDual burdenAge groupsAnemiaHealth programsGrowth standards
2012
Comparability and repeatability of methods for estimating the dietary intake of the heterocyclic amine contaminant 2-amino-1-methyl-6-phenylimidazo[4,5b]pyridine (PhIP)
Deziel NC, Buckley TJ, Sinha R, Abubaker S, Platz EA, Strickland PT. Comparability and repeatability of methods for estimating the dietary intake of the heterocyclic amine contaminant 2-amino-1-methyl-6-phenylimidazo[4,5b]pyridine (PhIP). Food Additives & Contaminants Part A 2012, 29: 1202-1211. PMID: 22571725, PMCID: PMC3412362, DOI: 10.1080/19440049.2012.682657.Peer-Reviewed Original ResearchConceptsIntraclass correlation coefficientPhIP intakeUrinary PhIPDietary Heterocyclic Amine ExposureHeterocyclic amine exposureFull study populationSubject variabilityExposure assessment methodsBiomarker-based approachDiary-based estimatesSpearman correlation coefficientDietary intakeStudy populationEpidemiologic studiesLong-term exposureHCA 2Intake estimatesAmine exposurePhIP concentrationIntakePhIPInconsistent riskTerm exposureAssessment toolDiary collection
2011
Comparison of Standard Methods for Assessing Dietary Intake of Benzo[a]pyrene
Deziel NC, Strickland PT, Platz EA, Abubaker S, Buckley TJ. Comparison of Standard Methods for Assessing Dietary Intake of Benzo[a]pyrene. Cancer Epidemiology Biomarkers & Prevention 2011, 20: 962-970. PMID: 21430297, PMCID: PMC4618457, DOI: 10.1158/1055-9965.epi-10-1344.Peer-Reviewed Original ResearchConceptsFood frequency questionnaireBaP intakeExposure assessment methodsDiet diariesMeat intakeResidue databaseFrequency questionnaireStrength of associationDietary intakeNondietary exposureConsiderable unexplained variabilityBiomarker measurementsIntakeLimited correlationSpearman correlationCancerInconsistent presenceBaselineExposureInterpersonal variabilityStandard methodsDiaryNonsmokersUnexplained variabilityAssessment methods