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1.
J Cyst Fibros ; 23(1): 137-143, 2024 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-37973438

RESUMEN

BACKGROUND: Restless legs syndrome (RLS) is a sensorimotor disorder that is prevalent in chronic inflammatory conditions. RLS prevalence, risk factors, and impact on sleep in CF have not been extensively characterized to date. METHODS: An initial cohort was examined, including 75 persons with CF (PwCF) and 75 control subjects, to look at the prevalence and severity of RLS. A second validation cohort of 191 PwCF was then enrolled from two CF centers to examine risk factors for RLS. A diagnosis of RLS was made according to the International RLS Study Group (IRLSSG) criteria. Sleep quality was identified using the Pittsburgh sleep quality index (PSQI). Epworth sleepiness scale (ESS) was used to measure daytime sleepiness. We then analyzed laboratory and clinical risk factors and sleep symptoms for potential risk factors for RLS. RESULTS: In the initial cohort, 36 % of PwCF had RLS, and 9 % of these had significant RLS. In contrast, only 15 % of controls had RLS, and none had significant RLS. In the second larger validation cohort with 191 subjects, a comparable prevalence of RLS was identified. Higher hemoglobin A1c, use of SSRI/SNRI medications, worse PSQI and ESS sleep quality scores, lower lung function, and higher antibiotic usage were significantly associated with a diagnosis of RLS. By multivariate multinominal logistic regression analysis, higher HbA1c and worse PSQI global sleep quality scores were independent predictors of significant RLS. CONCLUSIONS: RLS is highly prevalent in CF. Higher HbA1c and poor sleep quality, signified by higher PSQI, were each independent predictors of RLS.


Asunto(s)
Fibrosis Quística , Síndrome de las Piernas Inquietas , Adulto , Humanos , Calidad del Sueño , Hemoglobina Glucada , Síndrome de las Piernas Inquietas/diagnóstico , Síndrome de las Piernas Inquietas/epidemiología , Síndrome de las Piernas Inquietas/etiología , Fibrosis Quística/complicaciones , Fibrosis Quística/epidemiología , Índice de Severidad de la Enfermedad , Prevalencia
2.
J Dent Educ ; 87(12): 1725-1734, 2023 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-37735898

RESUMEN

PURPOSE: E-learning is frequently integrated into dental education, yet little is known on the effectiveness of e-learning in both instilling foundational knowledge and facilitating translation of newly acquired knowledge and skill into clinical application. The objective of this study was to investigate the impact of learning modality on acquisition of knowledge and translation to clinical skill using objective feedback from oral anesthesia manikins and subjects' self-reported confidence scores. METHODS: This mixed-method study involved first year dental students (n = 52) who volunteered to participate in a learning intervention, simulation exercise, and survey in 2022. Students were randomly assigned to lecture (n = 26) or e-learning (n = 26) cohorts and then participated in the intervention, postintervention assessment, and a simulation to evaluate correct approaches for each dental block and attempts to success. RESULTS: All subjects scored significantly higher on post-intervention assessment compared to pre-intervention assessment (8.2 vs. 5.9; p < 0.0001) with no significant differences between intervention groups when comparing preintervention and postintervention scores. Furthermore, there were no significant differences between the two cohorts when comparing abilities to correctly approach each dental block or attempts to success. Finally, all students reported a significant increase in confidence in most categories following intervention and simulation, with no significant differences between lecture and e-learning cohorts. CONCLUSION: Our findings suggest students learning via e-learning are equally capable as those learning via lecture at demonstrating newly acquired knowledge and skill in both assessments and clinical simulations. Results support incorporating supplemental e-learning and oral anesthesia manikin exercises for students learning the anatomy of dental injections.


Asunto(s)
Instrucción por Computador , Maniquíes , Humanos , Aprendizaje , Estudiantes , Retroalimentación , Competencia Clínica
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