2025
Acute Ischemic Stroke Risk Following Cardiac Interventions in the United States From 2016 to 2021
Koo A, Zhou L, Hameed I, Rivier C, Clocchiatti-Tuozzo S, Kamel H, Falcone G, Ney J, Sharma R, Matouk C, Yaghi S, Sheth K, de Havenon A. Acute Ischemic Stroke Risk Following Cardiac Interventions in the United States From 2016 to 2021. Neurology 2025, 105: e213766. PMID: 40493873, PMCID: PMC12165311, DOI: 10.1212/wnl.0000000000213766.Peer-Reviewed Original ResearchConceptsIntervention hospitalsSurvey weightsNon-Hispanic black ethnicityNIH Stroke ScaleStroke riskIschemic strokeFactors associated with ischemic strokeAssociated with female sexCardiac interventionsIschemic stroke riskIncidence of ischemic strokeVariables associated with riskRate of ischemic strokeNational Inpatient SampleHigh-risk populationDiagnosis-related groupsIntervention patientsCross-sectional cohortUnited StatesAcute ischemic stroke riskIn-Hospital DeathRisk of strokeSecondary analysisBlack ethnicityInpatient mortalityComplementary and integrative health approaches used for pain management by U.S. adults with chronic fatigue syndrome/myalgic encephalomyelitis: Findings from the 2022 National Health Interview Survey
Adamowicz J, Sirotiak Z, Thomas E, Lund B, Hadlandsmyth K, Driscoll M. Complementary and integrative health approaches used for pain management by U.S. adults with chronic fatigue syndrome/myalgic encephalomyelitis: Findings from the 2022 National Health Interview Survey. European Journal Of Integrative Medicine 2025, 75: 102443. DOI: 10.1016/j.eujim.2025.102443.Peer-Reviewed Original ResearchIntegrative health approachesHealth approachChronic fatigue syndrome/myalgic encephalomyelitisPain-relatedDepressive symptomsNational Health Interview Survey dataU.S. National Health Interview Survey dataPain managementHealth Interview Survey dataNational Health Interview SurveyIntegrative health modalityRao-Scott chi-square testsHealth Interview SurveyInterview Survey dataChiropractic careHealth modalitiesInterview SurveySurvey weightsChi-square testU.S. adultsRao-ScottExperience painAssociated with usageHealth useCFS/METhe Association Between Cost-Related Insulin Rationing and Health Care Utilization in U.S. Adults With Diabetes.
Borden C, Bakkila B, Nally L, Lipska K. The Association Between Cost-Related Insulin Rationing and Health Care Utilization in U.S. Adults With Diabetes. Diabetes Care 2025, 48: 400-404. PMID: 39746142, PMCID: PMC11870294, DOI: 10.2337/dc24-2117.Peer-Reviewed Original ResearchConceptsHealth care utilizationUrgent care visitsCare utilizationCare visitsU.S. adultsAssociated with health care utilizationNational Health Interview Survey respondentsAssociated with higher health care utilizationEmergency departmentHigher health care utilizationOdds of ED visitsRationing of health careCross-sectional studyNegative binomial regression modelsZero-inflated negative binomial regression modelsBinomial regression modelsHealth careED visitsSurvey weightsAge-stratifiedLogistic regressionSurvey respondentsVisitsRegression modelsAdults
2024
Higher prevalence of polysubstance use among older lesbian, and gay US adults
Mestre L, White M, Levy B, Bold K. Higher prevalence of polysubstance use among older lesbian, and gay US adults. Drug And Alcohol Dependence Reports 2024, 12: 100281. PMID: 39314854, PMCID: PMC11417146, DOI: 10.1016/j.dadr.2024.100281.Peer-Reviewed Original ResearchOlder LGB adultsLGB adultsPolysubstance useNational Survey of Drug Use and HealthDrug Use and HealthHeterosexual counterpartsSexual identityHeterosexual participantsPrevalence of polysubstance useMarginalized groupsLGBNational surveyAnalytic samplePublic health concernSame-age peersOlder adultsPolysubstanceSurvey weightsHealth concernSociodemographic factorsMultinomial modelHighest prevalenceUS adultsConcernsPrevention strategiesTransporting randomized trial results to estimate counterfactual survival functions in target populations
Cao Z, Cho Y, Li F. Transporting randomized trial results to estimate counterfactual survival functions in target populations. Pharmaceutical Statistics 2024, 23: 442-465. PMID: 38233102, DOI: 10.1002/pst.2354.Peer-Reviewed Original ResearchSurvival functionFinite-sample performanceSample average treatment effectApproximate variance estimatorsIncorrect model specificationAverage treatment effectRight censoringDistributions of treatment effect modifiersVariance estimationInverse probability weightingSimulation studyRobust estimationComplex surveysAverage treatmentProbability weightingTreatment effect modifiersEstimationTreatment effectsModel specificationCensoringTarget populationDifferential distributionSurvey weightsEffect modifiersFunction
2010
Comparison of contraceptive use between the Contraceptive CHOICE Project and state and national data
Kittur N, Secura G, Peipert J, Madden T, Finer L, Allsworth J. Comparison of contraceptive use between the Contraceptive CHOICE Project and state and national data. Contraception 2010, 83: 479-485. PMID: 21477693, PMCID: PMC3074095, DOI: 10.1016/j.contraception.2010.10.001.Peer-Reviewed Original ResearchConceptsBehavioral Risk Factor Surveillance SystemTime of enrollmentContraceptive CHOICE ProjectMissouri Behavioral Risk Factor Surveillance SystemPrevalence estimatesRisk Factor Surveillance SystemContraceptive pill usersReversible contraception useCurrent contraceptive methodCHOICE ProjectNational surveyLARC usePill usersContraceptive useContraceptive methodsContraception useContraceptive prevalenceStudy participantsDemographic characteristicsChoices participantsSurvey weightsNational dataEnrollmentHigh rateLower rates
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