Search results for "Precipitating Factors"

showing 2 items of 2 documents

Delirium Predisposing and Triggering Factors in Nursing Home Residents: A Cohort Trial-Nested Case-Control Study.

2019

Background Delirium is a common geriatric syndrome, with a prevalence of between 15-70% among older long-term care residents. It is associated with adverse outcomes, and its onset may prove imperceptible to health professionals. Few studies in institutionalized older people have analyzed the predictors of delirium. Objective The aim of the present study was to identify delirium predisposing and triggering factors, and develop a predictive model. Methods A cohort trial-nested case-control study covering a period of 12 consecutive months (April 2015 - March 2016) was carried out. Predisposing and triggering episodes of delirium were recorded. Results A total of 443 older persons were recruite…

0301 basic medicineMalemedicine.medical_specialtymedicine.drug_classPsychological interventionCholinergic AntagonistsCohort Studies03 medical and health sciences0302 clinical medicinemental disordersAnticholinergicmedicineDementiaHomes for the AgedHumansAgedAged 80 and overbusiness.industryGeneral NeuroscienceIncidence (epidemiology)Area under the curveDeliriumGeneral Medicinemedicine.diseasePrecipitating FactorsNursing HomesPsychiatry and Mental healthClinical Psychology030104 developmental biologyCase-Control StudiesCohortNested case-control studyEmergency medicineDeliriumAccidental FallsDementiaFemaleGeriatrics and Gerontologymedicine.symptombusiness030217 neurology & neurosurgeryJournal of Alzheimer's disease : JAD
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Analgesics use in competitive triathletes: its relationship to doping and on predicting its usage

2016

The two major objectives of this study were (i) to assess variables that predict the use of analgesics in competitive athletes and (ii) to test whether the use of analgesics is associated with the use of doping. A questionnaire primarily addressing the use of analgesics and doping was distributed among 2,997 triathletes. Binary logistic regression analysis was performed to predict the use of analgesics. Moreover, the randomised response technique (RRT) was used to estimate the prevalence of doping in order to assess whether users of analgesics have a higher potential risk for doping than non-users. Statistical power analyses were performed to determine sample size. The bootstrap method was …

AdultMaleCompetitive Behaviormedicine.medical_specialtyPhysical Therapy Sports Therapy and RehabilitationCompetitive athletesPerformance-Enhancing SubstancesStatistical powerRunning03 medical and health sciencesSex Factors0302 clinical medicineRisk FactorsSex factorsSurveys and QuestionnairesStatistical significancePrevalenceHumansMedicineOrthopedics and Sports MedicineBinary logistic regression analysisSwimmingSimulationDoping in SportsAnalgesicsbiologyPotential riskbusiness.industryAthletes030229 sport sciencesMiddle AgedPrecipitating Factorsbiology.organism_classificationBicyclingLogistic ModelsAthletesSample size determinationPhysical therapyFemalebusiness030217 neurology & neurosurgerySportsJournal of Sports Sciences
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