Introduction: Buccolingual inclinations of the maxillary permanent molars and intermolar widths increase with growth for Class I subjects. Changes for untreated Class II subjects have not yet been assessed. The aim of this study was to test the hypothesis that changes in palatal inclination of the maxillary molars and intermolar width throughout growth vary between Class I and Class II molar occlusions.
Methods: Patients were selected from the Forsyth/Moorrees Twin Study. Dental models taken for 6 consecutive years of 55 untreated subjects (28 with Angle Class I and 27 with Angle Class II occlusion) were scanned. The images were superimposed on the palatal rugae, and the angle between a reference plane and the buccolingual inclination plane was used to calculate the buccolingual molar inclination at each time point. The distance between lingual groove points was used to calculate the intermolar width.
Results: All molars showed increasing palatal inclinations over the 6 years. The change for each time interval was statistically significant. Class I subjects demonstrated significantly greater palatal inclination at each time point. The molar inclination changed by means of 4.99° for Class I subjects and 6.25° for Class II subjects. Intermolar width increased continuously (P <0.001) and was significantly greater (P <0.05) for Class I patients.
Conclusions: These results suggest that palatal inclination of the maxillary permanent first molars occurs continuously between ages 9 and 14 years, with Class II subjects showing greater changes. The intermolar width increases steadily during this time, with Class II subjects having a narrower intermolar width and less change over time.
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http://dx.doi.org/10.1016/j.ajodo.2016.10.023 | DOI Listing |
Curr Obes Rep
January 2025
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA.
Purpose Of Review: To highlight recent research on antidepressant use and weight change and explore best clinical practices for reducing weight gain and obesity risk in individuals with depression.
Recent Findings: Research on antidepressant use and weight gain suggests that genetic and biological factors including metabolizer phenotypes and inflammation can help to predict an individual's threshold for weight change among specific agents. For individuals with increased susceptibility to metabolic complications, medications including bupropion, fluoxetine, and newer agents (e.
Eur J Dent
December 2024
Department of Orthodontics, School of Dental Medicine, State University of New York at Buffalo, Buffalo, New York, United States.
Objectives: The primary objective was to evaluate the influence of sagittal skeletal pattern on mandibular movement (MM) during sleep in growing orthodontic populations. The secondary objective was to compare MM according to obstructive sleep apnea (OSA) status.
Materials And Methods: This cross-sectional study included subjects between 6 and 17 years old, presenting with class I, II, and III skeletal patterns and no previous history of orthodontic treatment.
Eur J Dent
December 2024
Department of Pediatric Dentistry, Faculty of Dentistry, Hasanuddin University, Makassar, Indonesia.
Objectives: This study aims to detect early class I, II, and III malocclusions through the muscle strength of the lips, tongue, masseter, and temporalis.
Materials And Methods: The study subjects were 30 pediatric patients with predetermined criteria. The subjects were divided into class I, II, and III malocclusions where each classification of malocclusion amounted to 10 people.
Alzheimers Dement
December 2024
Centre for Brain Research, Indian Institute of Science, Bangalore, Karnataka, India.
Background: Evidence from multiple converging sources has demonstrated the clear benefits of physical activity in promoting mental health and improving cognitive function. However, more than 54% of Indians do not engage in the recommended amount of physical activity. The present study aims to explore the association of physical activity with cognitive abilities among the elderly aging population in an urban Indian setting.
View Article and Find Full Text PDFBackground: Connected speech has been explored as a possible marker for Alzheimer's disease (AD) by employing language models based on machine learning. However, most previous approaches are based on scene description tasks, and it is unclear how different types of connected speech and differences across subjects' speech relate to changes in their brains.
Method: We analyzed transcripts of Flemish Dutch connected speech from interviews from 74 cognitively healthy elderly adults (mean MMSE = 28.
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