Exploring the obstacles affecting the oral health of adolescents with intellectual disabilities: insights from maternal perspectives-a qualitative study.

Background: Oral health plays a critical role in overall well-being, particularly among adolescents, including those with intellectual disabilities. Caregivers, particularly mothers, play an essential role in guiding and supporting these adolescents in maintaining good oral health. This study examined the oral health problems and challenges faced by children with intellectual disabilities from the perspective of their mothers.

Longevity of glass ionomer restorations in an older adult population.

Objectives: This study investigates longevity of glass ionomer restorations in an older adult population.

Methods: This was a retrospective study based on clinical records. Patient records for 3,665 restorations in 1,777 adults 65 or older who had received a restoration between 12th July 2016 and 20th October 2022 were extracted from the electronic dental records system of the University of Iowa College of Dentistry and Dental Clinics.

Predicting dental caries outcomes in young adults using machine learning approach.

Objectives: To predict the dental caries outcomes in young adults from a set of longitudinally-obtained predictor variables and identify the most important predictors using machine learning techniques.

Methods: This study was conducted using the Iowa Fluoride Study dataset. The predictor variables - sex, mother's education, family income, composite socio-economic status (SES), caries experience at ages 9, 13, and 17, and the cumulative estimates of risk and protective factors, including fluoride, dietary, and behavioral variables from ages 5-9, 9-13, 13-17, and 17-23 were used to predict the age 23 DMFS count.

Predictors of survival of large non-occlusal non-incisal glass-ionomer restorations in older adults.

Purpose: This study aimed to investigate the predictors of survival of non-occlusal non-incisal glass-ionomer restorations as a surrogate for root surface restorations among older adults.

Methods: In a retrospective cohort analysis using the University of Iowa College of Dentistry electronic dental records, we included 721 patients aged 65+ who received 2+ surface non-occlusal non-incisal glass ionomer restorations placed from January 2005 - December 2011. Restorations were followed until September 2017 or until they were deemed to have failed.

Predicting Dental Caries Outcomes in Young Adults Using Machine Learning Approach.

Objectives: To predict the dental caries outcomes in young adults from a set of longitudinally-obtained predictor variables and identify the most important predictors using machine learning techniques.

Methods: This study was conducted using the Iowa Fluoride Study dataset. The predictor variables - sex, mother's education, family income, composite socio-economic status (SES), caries experience at ages 9, 13, and 17, and the cumulative estimates of risk and protective factors, including fluoride, dietary, and behavioral variables from ages 5-9, 9-13, 13-17, and 17-23 were used to predict the age 23 DMFS count.

Dental caries incidence and associated factors in young adults.

Objectives: To assess the caries incidence from late adolescence to early adulthood and to identify the factors associated with caries incidence.

Methods: This is a secondary analysis of longitudinal caries data of young adults aged 17-23 from the Iowa Fluoride Study cohort. The inclusion criteria required completion of dental exams at both ages 17 and 23 and having cumulative exposure (AUC) variables data for at least 8 out of the 11 time periods between ages 17 and 23.

Trajectories of Dental Caries From Childhood to Young Adulthood: Unsupervised Machine Learning Approach.

Objective: To determine the dental caries trajectories over the life course (from age 9 to 23) using an unsupervised machine learning approach.

Methods: This is a longitudinal study of caries trajectories over a life course using data from 1,382 individuals from the Iowa Fluoride Study birth cohort. The trajectory analysis of caries in the permanent dentition at ages 9, 13, 17 and 23 was performed using the unsupervised machine learning algorithm known as K-means for Longitudinal Data (KmL), a k-means based clustering algorithm implemented in R specifically designed for analyzing longitudinal data.

Using machine learning algorithms to investigate factors associated with complete edentulism among older adults in the United States.

Aims: Edentulism is an incapacitating condition, and its prevalence is unequal among different population groups in the United States (US) despite its declining prevalence. This study aimed to investigate the current prevalence, apply Machine Learning (ML) Algorithms to investigate factors associated with complete tooth loss among older US adults, and compare the performance of the models.

Methods: The cross-sectional 2020 Behavioral Risk Factor Surveillance System (BRFSS) data was used to evaluate the prevalence and factors associated with edentulism.

Triad multisystem phenotype with high risk for developing temporomandibular disorders-characteristics and potential pathophysiology results from the Orofacial Pain: Prospective Evaluation and Risk Assessment dataset.

A multisystem phenotype with the Triad of bodily pain, psychological distress, and sleep disturbance was found to have high risk for developing initial onset of painful temporomandibular disorders (TMDs) in the multicenter Orofacial Pain: Prospective Evaluation and Risk Assessment dataset. In this study, we systemically examined phenotypic characteristics and explored potential pathophysiology in quantitative sensory testing and autonomic nervous system domains in this multisystem Triad phenotype. Secondary analysis was performed on 1199 non-Triad and 154 Triad TMD-free Orofacial Pain: Prospective Evaluation and Risk Assessment enrollees at baseline.

Treatment-induced neural reorganization in aphasia is language-domain specific: Evidence from a large-scale fMRI study.

Studies investigating the effects of language intervention on the re-organization of language networks in chronic aphasia have resulted in mixed findings, likely related to-among other factors-the language function targeted during treatment. The present study investigated the effects of the type of treatment provided on neural reorganization. Seventy individuals with chronic stroke-induced aphasia, recruited from three research laboratories and meeting criteria for agrammatism, anomia or dysgraphia were assigned to either treatment (N = 51) or control (N = 19) groups.

Structural disconnections associated with language impairments in chronic post-stroke aphasia using disconnectome maps.

Inconsistent findings have been reported about the impact of structural disconnections on language function in post-stroke aphasia. This study investigated patterns of structural disconnections associated with chronic language impairments using disconnectome maps. Seventy-six individuals with post-stroke aphasia underwent a battery of language assessments and a structural MRI scan.

The Role of Working Memory, Short-Term Memory, Speed of Processing, Education, and Locality in Verb-Related Morphosyntactic Production: Evidence From Greek.

This study investigates the relationship between verb-related morphosyntactic production (VRMP) and locality (i.e., critical cue being adjacent to the target or not), verbal Working Memory (vWM), nonverbal/visuospatial WM (nvWM), verbal short-term memory (vSTM), nonverbal/visuospatial STM (nvSTM), speed of processing, and education.

Development and validation of a nursing home mortality index to identify nursing home residents nearing the end of life in dental clinics.

Background: Nursing home (NH) residents seek care at dental offices, yet many of them are at the end of life. The uncertain life expectancy further complicates the care of NH residents. This study aimed to develop and validate a Nursing Home Mortality Index (NHMI) to identify NH residents in the last year of life.

Perilesional Perfusion in Chronic Stroke-Induced Aphasia and Its Response to Behavioral Treatment Interventions.

Stroke-induced alterations in cerebral blood flow (perfusion) may contribute to functional language impairments in chronic aphasia, particularly in perilesional tissue. Abnormal perfusion in this region may also serve as a biomarker for predicting functional improvements with behavioral treatment interventions. Using pseudo-continuous arterial spin labeling in magnetic resonance imaging (MRI), we examined perfusion in chronic aphasia, in perilesional rings in the left hemisphere and their right hemisphere homologues.

Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia.

Background: Poststroke recovery depends on multiple factors and varies greatly across individuals. Using machine learning models, this study investigated the independent and complementary prognostic role of different patient-related factors in predicting response to language rehabilitation after a stroke.

Methods: Fifty-five individuals with chronic poststroke aphasia underwent a battery of standardized assessments and structural and functional magnetic resonance imaging scans, and received 12 weeks of language treatment.

Dose-dependent association between xerostomia and number of medications among older adults.

Purpose/aim: To investigate factors associated with self-reported dry mouth (xerostomia) among older adults seeking dental care at a University clinic.

Materials And Methods: A query was performed in the electronic records database and de-identified data were collected from patients aged 65 + recorded on the date that the initial health history was entered. Among these patients, data about patients' medications, gender, age, BMI, tobacco use, alcohol addiction, diabetes, heart disease, joint replacement, allergies to medications, hypertension, and mental disorders were obtained.

Effect of Receiving Dental Treatment on mortality among nursing facility residents.

Aim: To assess the association between receipt of different types of dental procedures and mortality among nursing home residents.

Methods And Results: Between June 2006 and March 2008, 535 nursing home residents received a health screening assessment and were offered comprehensive dental care. Death certificate data were obtained in September 2013 and multivariable regression models were generated to assess the effect of dental procedures delivered after the screening assessment on mortality, adjusting for demographic and health-related covariates.

Chairside risk assessment for first-onset temporomandibular disorders: Result from the Orofacial Pain: Prospective Evaluation and Risk Assessment data set.

Background: Temporomandibular disorders (TMD) risk assessment is difficult in general dentistry owing to the complexity of multifactorial risk contributions and the lack of standardized education. The authors explored a health history-based chairside risk assessment.

Methods: Secondary data analysis was performed on the Orofacial Pain: Prospective Evaluation and Risk Assessment data set.

Surgery start time and early implant failure: A case-control study.

Objective: To evaluate the influence of surgery start time (SST) and other patient- and therapy-related variables on the risk for early implant failure (EIF) in an academic setting.

Material And Methods: Data were extracted from the electronic health records of 61 patients who had at least one EIF and 140 age- and gender-matched, randomly selected, non-EIF controls. Bivariate and multivariable analyses were performed to identify relevant associations between EIF and different variables, such as SST.

A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia.

Can sentence comprehension impairments in aphasia be explained by difficulties arising from dependency completion processes in parsing? Two distinct models of dependency completion difficulty are investigated, the Lewis and Vasishth (2005) activation-based model and the direct-access model (DA; McElree, 2000). These models' predictive performance is compared using data from individuals with aphasia (IWAs) and control participants. The data are from a self-paced listening task involving subject and object relative clauses.

Predicting language recovery in post-stroke aphasia using behavior and functional MRI.

Language outcomes after speech and language therapy in post-stroke aphasia are challenging to predict. This study examines behavioral language measures and resting state fMRI (rsfMRI) as predictors of treatment outcome. Fifty-seven patients with chronic aphasia were recruited and treated for one of three aphasia impairments: anomia, agrammatism, or dysgraphia.

Electronic dental record-based surveillance of non-communicable conditions.

Objective: The objective of the study is to demonstrate that electronic dental records (EDRs) can be used to mine meaningful public health information.

Study Design: Retrospective electronic dental chart-based reporting of disease prevalence.

Methods: Using dental EDRs (N = 104,768), the authors assessed the prevalence of common non-communicable medical conditions among unique patients seen at a United States (U.

A single nucleotide polymorphism assay sheds light on the extent and distribution of genetic diversity, population structure and functional basis of key traits in cultivated north American cannabis.

Background: The taxonomic classification of Cannabis genus has been delineated through three main types: sativa (tall and less branched plant with long and narrow leaves), indica (short and highly branched plant with broader leaves) and ruderalis (heirloom type with short stature, less branching and small thick leaves). While still under discussion, particularly whether the genus is polytypic or monotypic, this broad classification reflects putative geographical origins of each group and putative chemotype and pharmacologic effect.

Methods: Here we describe a thorough investigation of cannabis accessions using a set of 23 highly informative and polymorphic SNP (Single Nucleotide Polymorphism) markers associated with important traits such as cannabinoid and terpenoid expression as well as fibre and resin production.