2024
DNA methylation‐based telomere length is associated with HIV infection, physical frailty, cancer, and all‐cause mortality
Liang X, Aouizerat B, So‐Armah K, Cohen M, Marconi V, Xu K, Justice A. DNA methylation‐based telomere length is associated with HIV infection, physical frailty, cancer, and all‐cause mortality. Aging Cell 2024, 23: e14174. PMID: 38629454, PMCID: PMC11258465, DOI: 10.1111/acel.14174.Peer-Reviewed Original ResearchCancer prevalenceAll-cause mortalityVeterans Aging Cohort Study Biomarker CohortMortality riskPhysiological frailtyVACS IndexIncreased risk of all-cause mortalityRisk of all-cause mortalityCancer registry dataHigher cancer prevalenceHIV infectionElectronic medical recordsSelf-reported raceCoronary heart diseaseAssociated with HIV infectionIndicator of cellular agingPhysical frailtyRegistry dataSmoking statusWomen's Interagency HIV Study cohortAlcohol consumptionShorter TLTelomere lengthMedical recordsPeripheral blood mononuclear cells
2022
Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records
McGinnis K, Skanderson M, Justice A, Tindle H, Akgün K, Wrona A, Freiberg M, Goetz M, Rodriguez-Barradas M, Brown S, Crothers K. Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records. JAMIA Open 2022, 5: ooac040. PMID: 37252267, PMCID: PMC9154288, DOI: 10.1093/jamiaopen/ooac040.Peer-Reviewed Original ResearchICD-10 codesClinical remindersCurrent smokingSmoking dataSelf-reported smoking statusVeterans Health Administration electronic health recordsCohort Study participantsElectronic health record dataHealth record dataElectronic health recordsSmoking informationSmoking statusSalivary cotinineEpidemiologic studiesInternational ClassificationSmokingCotinineStudy participantsICD-10Health systemHealth recordsRecord dataKappa statisticsAfrican AmericansReminders
2021
Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults?
Khan MR, Ban K, Caniglia EC, Edelman JE, Gaither J, Crystal S, Chichetto NE, Young KE, Tate J, Justice AC, Braithwaite RS. Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults? Preventive Medicine Reports 2021, 23: 101483. PMID: 34345578, PMCID: PMC8319511, DOI: 10.1016/j.pmedr.2021.101483.Peer-Reviewed Original ResearchInjection drug useUnhealthy alcohol useTobacco screeningDrug useSubstance useOpioid useStimulant useAlcohol useCrack/cocaine useIllicit opioid useCrack/cocaineTest performance characteristicsFormer smokersCurrent smokingSmoking statusUS adultsLifetime smokingCocaine useSmokingScreening resultsFour-fold decreaseNegative resultsMarijuana usePositive resultsTwo-fold decreaseThe relationship of smoking and unhealthy alcohol use to the HIV care continuum among people with HIV in an integrated health care system
Satre DD, Levine-Hall T, Sterling SA, Young-Wolff KC, Lam JO, Alexeeff S, Hojilla JC, Williams A, Justice AC, Sterne J, Cavassini M, Bryant KJ, Williams EC, Horberg MA, Volberding P, Weisner C, Silverberg MJ. The relationship of smoking and unhealthy alcohol use to the HIV care continuum among people with HIV in an integrated health care system. Drug And Alcohol Dependence 2021, 219: 108481. PMID: 33429295, PMCID: PMC7869693, DOI: 10.1016/j.drugalcdep.2020.108481.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useHIV care continuum outcomesIntegrated health care systemCare continuum outcomesAlcohol useHealth care systemContinuum outcomesCare continuumOdds ratioHigher oddsKaiser Permanente Northern CaliforniaCare systemHIV RNA controlPrimary care screeningHIV care continuumRelationship of smokingAdjusted odds ratioSeparate logistic regression modelsLogistic regression modelsRace/ethnicityHIV careHIV RNASmoking statusMean ageCare screening
2020
Mortality, Health, and Substance Abuse by Religious Attendance Among HIV Infected Patients from the Veterans Aging Cohort Study
Doolittle BR, McGinnis K, Ransome Y, Fiellin D, Justice A. Mortality, Health, and Substance Abuse by Religious Attendance Among HIV Infected Patients from the Veterans Aging Cohort Study. AIDS And Behavior 2020, 25: 653-660. PMID: 32902769, DOI: 10.1007/s10461-020-03028-4.Peer-Reviewed Original ResearchConceptsCohort studyVeterans Aging Cohort StudyAging Cohort StudyAssociation of mortalitySmall cohort studiesUnhealthy alcohol useOverall drug useHIV/AIDSSmoking statusMortality riskHigh social supportDrug useBiological markersSubstance abuseLess marijuana useAlcohol usePast yearReligious attendanceLower depressionMarijuana useMortalitySocial supportAssociationAttendanceHCV
2018
Using DNA methylation to validate an electronic medical record phenotype for smoking
McGinnis KA, Justice AC, Tate JP, Kranzler HR, Tindle HA, Becker WC, Concato J, Gelernter J, Li B, Zhang X, Zhao H, Crothers K, Xu K, Group F. Using DNA methylation to validate an electronic medical record phenotype for smoking. Addiction Biology 2018, 24: 1056-1065. PMID: 30284751, PMCID: PMC6541538, DOI: 10.1111/adb.12670.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyAging Cohort StudyStrong associationDNA methylation sitesSmoking metricsCohort studyCurrent smokingSmoking statusSpearman correlation coefficientBiomarker cohortBlood samplesSmoking behaviorCriterion standardLogistic regressionSmokingSmoking phenotypesCurve analysisGroup assignmentText notesAssociationDescriptive statisticsPhenotypeCorrelation coefficientGenetic discoveriesPercent
2011
Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source
McGinnis KA, Brandt CA, Skanderson M, Justice AC, Shahrir S, Butt AA, Brown ST, Freiberg MS, Gibert CL, Goetz MB, Kim JW, Pisani MA, Rimland D, Rodriguez-Barradas MC, Sico JJ, Tindle HA, Crothers K. Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source. Nicotine & Tobacco Research 2011, 13: 1233-1239. PMID: 21911825, PMCID: PMC3223583, DOI: 10.1093/ntr/ntr206.Peer-Reviewed Original ResearchConceptsSmoking statusHealth factorsSmoking dataKappa statisticsSmoking variablesVeterans Aging Cohort StudyAging Cohort StudySelf-reported smoking dataCohort studyCurrent smokersSmoking interventionsVirtual cohortElectronic data sourcesEMR dataFuture studiesStatusParticipantsFactorsHIVSmokersSmokingStudy surveyCohort
2009
Impact of cigarette smoking on mortality in HIV-positive and HIV-negative veterans.
Crothers K, Goulet JL, Rodriguez-Barradas MC, Gibert CL, Oursler KA, Goetz MB, Crystal S, Leaf DA, Butt AA, Braithwaite RS, Peck R, Justice AC. Impact of cigarette smoking on mortality in HIV-positive and HIV-negative veterans. AIDS Education And Prevention 2009, 21: 40-53. PMID: 19537953, PMCID: PMC3118467, DOI: 10.1521/aeap.2009.21.3_supp.40.Peer-Reviewed Original ResearchConceptsHIV-negative veteransIncidence rate ratiosSmoking statusHIV-negative patientsSimilar mortality riskHIV-positive veteransComorbid diseasesCurrent smokingOverall mortalityCigarette smokingPoor outcomeMortality riskHIVPoisson regressionMortalitySmokingRate ratioVeteransDiseaseStudy of mechanismsLow levelsStatusSmokersPatientsCessation