Statement Of Problem: Information regarding operators' preferences for different impression mixing techniques and duration of mixing and tray loading is limited.
Purpose: The purpose of this study was to assess operators' preferences, and the duration of mixing and tray loading using different mixing techniques.
Material And Methods: Thirty dentists, 30 dental assistants, and 30 inexperienced dental students evaluated mixing heavy-body vinyl polysiloxane material (VPS) using electronic mixing compared to automixing, and extra-heavy-body material using electronic mixing compared to hand mixing. Participants rated their level of preference using a scale from 0 to 10 for ease of mixing, control of loading, quality of mixing, level of cleanliness, and overall rating. The duration of mixing and tray loading was also measured. Mean values were compared within participant groups using the paired t test (alpha=.05) and between groups using 1-way analysis of variance (ANOVA) (alpha=.05). Holm's procedure was used to adjust the level of significance for the multiple comparisons.
Results: The paired t test showed that mean values of level of preference for electronic mixing were significantly higher (P<.001 to .033) than those for automixing or hand mixing. The mean values of duration of mixing and tray loading with electronic mixing were significantly higher (P<.001 to .002) than those with automixing or hand mixing, except for students using heavy-body materials (P=.31). One-way ANOVA showed that there were no significant differences between the 3 participant groups in preference and duration of mixing and tray loading, both of heavy-body and extra-heavy-body VPS impression materials.
Conclusions: All participant groups preferred electronic mixing to automixing or hand mixing. Electronic mixing was significantly slower for all groups except for students using heavy-body materials. There was no significant difference between the 3 participant groups in the preference or duration of mixing and tray loading for the mixing techniques tested.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.prosdent.2006.11.007 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Mechanism of syncope: role of ambulatory blood pressure monitoring and cardiovascular autonomic function assessment.
Eur Heart J
December 2024
Department of Cardiology, IRCCS Istituto Auxologico Italiano, Faint and Fall Research Centre, S. Luca Hospital, Piazzale Brescia 20, Milano 20149, Italy.
Background And Aims: Identifying the haemodynamic mechanism of autonomic syncope is the essential pre-requisite for effective and personalized therapy aimed at preventing recurrences. The present study assessed the diagnostic efficacy of a two-step assessment.
Methods: Multicentre prospective, cross-sectional, observational study.
Background: In people with Parkinson's disease (PD), mutations in GBA and LRRK2 are associated with different clinical phenotypes which might be related to differential involvement of the cholinergic system. We aimed to investigate cholinergic basal forebrain (cBF) volume in asymptomatic and symptomatic mutation carriers in comparison to idiopathic PD and healthy controls and associations with cognitive decline.
Method: This study included 149 asymptomatic GBA and 169 asymptomatic LRRK2 mutation carriers, 112 LRRK2 carriers and 60 GBA carriers with PD, 492 idiopathic PD, and 180 healthy controls from the Parkinson's Progression Markers Initiative (PPMI).
Biomarkers.
Alzheimers Dement
December 2024
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Background: In this pilot study, the diagnostic agreement for sleep biomarker-based neurodegenerative disorder (NDD) risk probabilities was evaluated in patients with Alzheimer's disease dementia (AD), Lewy body disease (LBD), mild cognitive impairment (MCI), and controls (CG) with a Mini-Mental State Exam scores ≥28.
Methods: Sleep biomarkers recorded with the Sleep Profiler (Advanced Brain Monitoring, Inc.) were used as inputs to a 4-class machine learning algorithm trained to assign NDD risk probabilities to AD=27, LBD=19, isolated REM sleep behavior disorder=15, and CG=58.
Biomarkers.
Alzheimers Dement
December 2024
Stanford University School of Medicine, Stanford, CA, USA.
Background: Objective sleep measures obtained from actigraphy (wrist-worn accelerometry) reveal sleep disruption patterns and may serve as indicators of neurodegenerative disease. However, whether individuals' subjective account of their sleep quality corresponds to objective sleep measurements from the previous night is an area little studied. In particular, whether neurodegenerative disease modifies these associations is unknown.
View Article and Find Full Text PDFBiomarkers.
Alzheimers Dement
December 2024
Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Background: Amnestic mild cognitive impairment and Alzheimer's disease (aAD) exhibit degeneration of white matter (WM) tracts preceding overt cognitive decline. However, WM changes in non-amnestic AD (naAD) are understudied. We hypothesized patterns of WM degeneration would differ between aAD and naAD.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!