2023
Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
Yang J, Huggins A, Sun D, Baird C, Haswell C, Frijling J, Olff M, van Zuiden M, Koch S, Nawijn L, Veltman D, Suarez-Jimenez B, Zhu X, Neria Y, Hudson A, Mueller S, Baker J, Lebois L, Kaufman M, Qi R, Lu G, Říha P, Rektor I, Dennis E, Ching C, Thomopoulos S, Salminen L, Jahanshad N, Thompson P, Stein D, Koopowitz S, Ipser J, Seedat S, du Plessis S, van den Heuvel L, Wang L, Zhu Y, Li G, Sierk A, Manthey A, Walter H, Daniels J, Schmahl C, Herzog J, Liberzon I, King A, Angstadt M, Davenport N, Sponheim S, Disner S, Straube T, Hofmann D, Grupe D, Nitschke J, Davidson R, Larson C, deRoon-Cassini T, Blackford J, Olatunji B, Gordon E, May G, Nelson S, Abdallah C, Levy I, Harpaz-Rotem I, Krystal J, Morey R, Sotiras A. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods. Neuropsychopharmacology 2023, 49: 609-619. PMID: 38017161, PMCID: PMC10789873, DOI: 10.1038/s41386-023-01763-5.Peer-Reviewed Original ResearchPosttraumatic stress disorderStructural covariance networksCortical thicknessPTSD diagnosisInsular cortexPTSD patientsCingulate cortexSymptom severityBilateral superior frontal cortexStress disorderGreater cortical thicknessLower cortical thicknessChildhood trauma severitySuperior frontal cortexRegression analysisAnterior cingulate cortexTrauma-exposed controlsPosterior cingulate cortexPrefrontal regulatory regionsPTSD symptom severityComorbid depressionMotor cortexHealthy controlsFrontal cortexAlcohol abuseFirearm Ownership Among a Nationally Representative Sample of U.S. Veterans
Fischer I, Aunon F, Nichter B, Hill M, Panza K, Kline A, Na P, Tsai J, Harpaz-Rotem I, Pietrzak R. Firearm Ownership Among a Nationally Representative Sample of U.S. Veterans. American Journal Of Preventive Medicine 2023, 65: 1129-1133. PMID: 37354925, DOI: 10.1016/j.amepre.2023.06.013.Peer-Reviewed Original ResearchConceptsU.S. veteransMultivariable logistic regression analysisLogistic regression analysisAlcohol use disorderSuicide prevention effortsU.S. military veteransNationally Representative SampleMale sexTrauma burdenNational HealthRepresentative sampleFirearm ownershipChi-square analysisUse disordersFirearm safetyIndependent sample t-testLifetime historyVeterans StudyPrevention effortsPsychiatric variablesMilitary veteransVeteransRegression analysisT-testSignificant main effect
2021
Religion, spirituality, and risk for incident posttraumatic stress disorder, suicidal ideation, and hazardous drinking in U.S. military veterans: A 7-year, nationally representative, prospective cohort study
Rubenstein A, Koenig HG, Marin DB, Sharma V, Harpaz-Rotem I, Pietrzak RH. Religion, spirituality, and risk for incident posttraumatic stress disorder, suicidal ideation, and hazardous drinking in U.S. military veterans: A 7-year, nationally representative, prospective cohort study. Journal Of Affective Disorders 2021, 295: 1110-1117. PMID: 34706422, DOI: 10.1016/j.jad.2021.08.128.Peer-Reviewed Original ResearchConceptsNon-organizational religious activityProspective cohort studyOrganizational religious activityHazardous drinkingSuicidal ideationMental health outcomesU.S. military veteransCohort studyHealth outcomesMilitary veteransIncident posttraumatic stress disorderMultivariable logistic regression analysisLogistic regression analysisMental health assessmentPosttraumatic stress disorderCross-sectional designPositive mental health outcomesLower incidenceLower riskSociodemographic factorsClinical implicationsGreater riskStress disorderHealth assessmentRegression analysis
2016
Hostility and telomere shortening among U.S. military veterans: Results from the National Health and Resilience in Veterans Study
Watkins LE, Harpaz-Rotem I, Sippel LM, Krystal JH, Southwick SM, Pietrzak RH. Hostility and telomere shortening among U.S. military veterans: Results from the National Health and Resilience in Veterans Study. Psychoneuroendocrinology 2016, 74: 251-257. PMID: 27689898, DOI: 10.1016/j.psyneuen.2016.09.006.Peer-Reviewed Original ResearchConceptsU.S. military veteransClinical variablesNational HealthTelomere lengthMilitary veteransMultivariable binary logistic regression analysisVeterans StudyAccelerated cellular agingBinary logistic regression analysisLogistic regression analysisU.S. veteran populationNon-veteran populationsAge-related disordersPolymerase chain reaction methodChronic disordersRisk factorsChain reaction methodQuantitative polymerase chain reaction methodVeteran populationU.S. veteransSecondary analysisTreatment effortsVeteransRegression analysisBiological age