2023
Health Care Disparities in Patients Undergoing Hysterectomy for Benign Indications
Wieslander C, Grimes C, Balk E, Hobson D, Ringel N, Sanses T, Singh R, Richardson M, Lipetskaia L, Gupta A, White A, Orejuela F, Meriwether K, Antosh D. Health Care Disparities in Patients Undergoing Hysterectomy for Benign Indications. Obstetrics And Gynecology 2023, 142: 1044-1054. PMID: 37826848, DOI: 10.1097/aog.0000000000005389.Peer-Reviewed Original ResearchConceptsHealth care disparitiesBenign indicationsCare disparitiesVaginal hysterectomyMedicare insuranceHysterectomy complicationsPatient-level outcomesMultivariable regression analysisInvasive hysterectomy proceduresHealth care systemPrior hysterectomyStrength of associationLaparoscopic hysterectomyBlack patientsMultivariable analysisSurgical outcomesPoor outcomeInsurance statusRisk markersIndependent associationEligible studiesSTUDY SELECTIONHysterectomy proceduresHysterectomyHispanic ethnicity
2022
Artificially sweetened beverages and urinary incontinence—a secondary analysis of the Women's Health Initiative Observational Study
Ringel N, Hovey K, Andrews C, Mossavar-Rahmani Y, Shadyab A, Snetselaar L, Howard B, Iglesia C. Artificially sweetened beverages and urinary incontinence—a secondary analysis of the Women's Health Initiative Observational Study. Menopause The Journal Of The North American Menopause Society 2022, 30: 283-288. PMID: 36515559, PMCID: PMC9974739, DOI: 10.1097/gme.0000000000002129.Peer-Reviewed Original ResearchConceptsUrinary incontinence symptomsWomen's Health Initiative Observational StudyUrgency urinary incontinence symptomsMixed urinary incontinenceUrinary incontinenceIncontinence symptomsObservational studyBeverage consumptionSecondary analysisMultivariable logistic regression modelLogistic regression modelsAnalytic cohortMultivariable analysisPotential confoundersUnadjusted oddsBeverage intakeHigh prevalenceHigher oddsIncontinenceGreater oddsRare consumersSymptomsWeeksDemographic characteristicsWomen