A random item effects generalized partial credit model with a multiple imputation-based scoring procedure.

PURPOSE: Random item effects item response theory (IRT) models have received much attention for more than a decade. However, more research is needed on random item effects IRT models for polytomous data. Additionally, to improve the utility of this new class of IRT models, the scoring issue must be addressed. METHODS: We proposed a new random item effects generalized partial credit model (GPCM), which considers both random person and random item and category-specific effects. In addition, we introduced a multiple imputation (MI)-based scoring procedure that applies to various random item effects IRT models. To evaluate the proposed model and scoring procedure, we analyzed data from a Quality of Life (QoL) scale for the Chronically Mentally III and conducted a preliminary simulation study. RESULTS: In the empirical data analysis, we found that patient scores generated based on the proposed model and scoring procedure were almost identical to those obtained through the conventional GPCM and scoring method. However, the standard errors (SEs) associated with the scores were slightly larger when the proposed approach was utilized. In the simulation study, we observed adequate recovery of the model parameters and patient scores. CONCLUSION: The proposed model and MI-based scoring procedure contribute to the literature. The proposed model substantially reduces the number of free parameters in comparison to a conventional GPCM, which can be desired when sample sizes are small, e.g., special populations. In addition, the MI-based scoring procedure addresses the scoring issue and can be easily extended for scoring with other random item effects IRT models.

The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models.

Nonlinear mixed-effects models (NLMEMs) allow researchers to model curvilinear patterns of growth, but there is ambiguity as to what functional form the data follow. Often, researchers fit multiple nonlinear functions to data and use model selection criteria to decide which functional form fits the data "best." Frequently used model selection criteria only account for the number of parameters in a model but overlook the complexity of intrinsically nonlinear functional forms. This can lead to overfitting and hinder the generalizability and reproducibility of results. The primary goal of this study was to evaluate the performance of eight model selection criteria via a Monte Carlo simulation study and assess under what conditions these criteria are sensitive to model overfitting as it relates to functional form complexity. Results highlighted criteria with the potential to capture overfitting for intrinsically nonlinear functional forms for NLMEMs. Information criteria and the stochastic information complexity criterion recovered the true model more often than the average or conditional concordance correlation. Results also suggest that the amount of residual variance and sample size have an impact on model selection for NLMEMs. Implications for future research and recommendations for application are also provided.

Comparison of two rating scales with the orofacial esthetic scale and practical recommendations for its application.

PURPOSE: We compared measurement properties of 5-point and 11-point response formats for the orofacial esthetic scale (OES) items to determine whether collapsing the format would degrade OES score precision. METHODS: Data were collected from a consecutive sample of adult dental patients from HealthPartners dental clinics in Minnesota (N = 2,078). We fitted an Item Response Theory (IRT) model to the 11-point response format and the six derived 5-point response formats. We compared all response formats using test (or scale) information, correlation between the IRT scores, Cronbach's alpha estimates for each scaling format, correlations based on the observed scores for the seven OES items and the eighth global item, and the relationship of observed and IRT scores to an external criterion using orofacial appearance (OA) indicators from the Oral Health Impact Profile (OHIP). RESULTS: The correlations among scores based on the different response formats were uniformly high for observed (0.97-0.99) and IRT scores (0.96-0.99); as were correlations of both observed and IRT scores and the OHIP measure of OA (0.66-0.68). Cronbach's alpha based on any of the 5-point formats (α = 0.95) was nearly the same as that based on the 11-point format (α = 0.96). The weighted total information area for five of six derived 5-point response formats was 98% of that for the 11-point response format. CONCLUSIONS: Our results support the use of scores based on a 5-point response format for the OES items. The measurement properties of scores based on a 5-point response format are comparable to those of scores based on the 11-point response format.

Assessment of differential item functioning across English and Spanish versions of the Orofacial Esthetic Scale.

OBJECTIVES: To investigate differential item functioning across the Spanish and English versions of the Orofacial Esthetic Scale (OES). METHODS: OES data were collected from a consecutive sample of a total of 622 adult dental patients (311 English- and 311 Spanish-speaking adults) from HealthPartners dental clinics in Minnesota. We inspected boundary characteristic curves (BCCs) based on item response theory (IRT) in English speakers and Spanish speakers to examine differential item functioning (DIF). Using the Samejima's graded response model, we used the item response theory log-likelihood ratio (IRTLR) approach to test whether DIF was statistically significant. RESULTS: Inspection of the BCCs did not reveal substantial differences in item difficulty and discrimination between English speakers and Spanish speakers. When IRTLR tests were performed for the seven OES items, no item was flagged with significant DIF after P-values were adjusted for multiple comparisons. CONCLUSIONS: Pooling of Orofacial Esthetic Scale (OES) data from English and Spanish-speaking dental patients for analysis and interpretation is supported by the absence of differential item functioning (DIF) across the two language groups.

Alternative Multiple Imputation Inference for Categorical Structural Equation Modeling.

The use of item responses from questionnaire data is ubiquitous in social science research. One side effect of using such data is that researchers must often account for item level missingness. Multiple imputation is one of the most widely used missing data handling techniques. The traditional multiple imputation approach in structural equation modeling has a number of limitations. Motivated by Lee and Cai's approach, we propose an alternative method for conducting statistical inference from multiple imputation in categorical structural equation modeling. We examine the performance of our proposed method via a simulation study and illustrate it with one empirical data set.

Unilateral mandibular advancement with bilateral intraoral vertical ramus osteotomy.

Intraoral vertical ramus osteotomy (IVRO) is an effective surgical procedure that is used for the correction of mandibular prognathism. However, application of IVRO for mandibular advancement has been limited because of the instability of the proximal segments caused by the gap between the distal and proximal segments. We report a case of unilateral mandibular advancement with bilateral IVRO for the correction of facial asymmetry. This case shows possible application of bilateral IVRO for unilateral mandibular advancement without any means of fixation.

A Multidimensional Model to Facilitate Within Person Comparison of Attributes.

In psychological research and practice, a person's scores on two different traits or abilities are often compared. Such within-person comparisons require that measurements have equal units (EU) and/or equal origins: an assumption rarely validated. We describe a multidimensional SEM/IRT model from the literature and, using principles of conjoint measurement, show that its expected response variables satisfy the axioms of additive conjoint measurement for measurement on a common scale. In an application to Quality of Life data, the EU analysis is used as a pre-processing step to derive a simple structure Quality of Life model with three dimensions expressed in equal units. The results are used to address questions that can only be addressed by scores expressed in equal units. When the EU model fits the data, scores in the corresponding simple structure model will have added validity in that they can address questions that cannot otherwise be addressed. Limitations and the need for further research are discussed.

Comparing Ruminative and Distracting Responses and Emotion Regulation Difficulties in Early Community Adolescents With and Without Self-Harm.

Objectives: This study aimed to compare the demographic characteristics, responses to negative emotions, and difficulties in emotion regulation between self-harming adolescents and control individuals aged 12-14 years from the community. Methods: Data were collected from adolescents in Chungcheong Province, South Korea, between September 2021 and November 2022. Demographic characteristics and responses to the Depressed Mood Questionnaire and Difficulties in Emotion Regulation Scale-16 (DERS-16) were compared between the self-harm and control groups. Results: The self-harm group exhibited a higher prevalence of child abuse (odds ratio [OR]=4.787, 95% confidence interval [CI]=1.591-14.409, p=0.005) and school bullying victimization (OR=4.495, 95% CI=2.353-8.588, p<0.001) than those in the control group. The selfharm group displayed higher levels of rumination (t=7.88, p<0.001) and reduced distraction responses (reverse score t=2.25, p=0.025) than those of the control group. Additionally, the self-harm group scored higher on all subscales and the total DERS-16 score (t=7.61, p<0.001). Conclusion: Interventions for self-harming adolescents should address child abuse and bullying victimization. Prevention programs for self-harming adolescents should focus on reducing rumination responses, increasing distractive responses, and addressing difficulties in emotion regulation using dialectical behavior therapy-skill training.

Clinical characteristics of seizure recurrence and epilepsy development in patients with alcohol-related seizures.

BACKGROUND: Alcohol withdrawal is widely recognized as a trigger for acute symptomatic seizures among individuals with chronic alcohol consumption. While most alcohol withdrawal seizures occur shortly after cessation, chronic alcohol consumption can be associated with the development of epilepsy, necessitating anti-epileptic drug (AED) therapy. This study aimed to investigate the clinical characteristics, seizure recurrence, and epilepsy development in patients with alcohol-related seizures and to identify prognostic factors for epilepsy. METHODS: In a retrospective analysis at Ewha Womans University Mokdong Hospital, 206 patients with alcohol-related seizures were examined and 15 were excluded due to preexisting epilepsy. Demographic and clinical data, including alcohol withdrawal duration, seizure recurrence, types, and comorbidities, were investigated. Logistic regression models were used to analyze the risk factors for seizure recurrence and epilepsy development. The performance of the final models was evaluated based on the area under the receiver operating characteristic curve (AUC) and validated using calibration plots and leave-one-out cross-validation. RESULTS: Of the 191 patients (146 males; mean age 48.3 ± 12.1 years) with alcohol-related seizures, 99 patients (51.8%) experienced seizure recurrence and 79 patients (41.4%) developed epilepsy. Factors associated with seizure recurrence included alcohol consumption levels, occurrence of focal impaired awareness seizure, anxiety, and headache. The number of recurrent seizures, semiology, status epilepticus, electroencephalogram findings, and brain imaging findings was associated with epilepsy development. The predictive models showed strong diagnostic performance, with AUCs of 0.833 for seizure recurrence and 0.939 for epilepsy development. CONCLUSION: High alcohol consumption and specific clinical and diagnostic features are significant predictors of seizure recurrence and the development of epilepsy among patients with alcohol-related seizures. These findings underscore the importance of early identification and intervention to prevent seizure recurrence and the onset of epilepsy, emphasizing the importance of AED treatment in managing these conditions.

The Relationship Between Brain Activation for Taking Others' Perspective and Interoceptive Abilities in Autism Spectrum Disorder: An fMRI Study.

Objectives: In this functional magnetic resonance imaging study, we aimed to investigate the differences in brain activation between individuals with autism spectrum disorder (ASD) and typically developing (TD) individuals during perspective taking. We also examined the association between brain activation and empathic and interoceptive abilities. Methods: During scanning, participants from the ASD (n=17) and TD (n=22) groups were shown pain stimuli and asked to rate the level of the observed pain from both self- and other-perspectives. Empathic abilities, including perspective taking, were measured using an empathic questionnaire, and three dimensions of interoception were assessed: interoceptive accuracy, interoceptive sensibility, and interoceptive trait prediction errors. Results: During self-perspective taking, the ASD group exhibited greater activation in the left precuneus than the TD group. During other-perspective taking, relative hyperactivation extended to areas including the right precuneus, right superior frontal gyrus, left caudate nucleus, and left amygdala. Brain activation levels in the right superior frontal gyrus while taking other-perspective were negatively correlated with interoceptive accuracy, and those in the left caudate were negatively correlated with perspective taking ability in the ASD group. Conclusion: Individuals with ASD show atypical brain activation during perspective taking. Notably, their brain regions associated with stress reactions and escape responses are overactivated when taking other-perspective. This overactivity is related to poor interoceptive accuracy, suggesting that individuals with ASD may experience difficulties with the self-other distinction or atypical embodiment when considering another person's perspective.

How Well Do We Understand Autistic Savant Artists: A Review of Various Hypotheses and Research Findings to Date.

The authors investigated the artistic characteristics of autistic savant artists, hypotheses on the proximate and ultimate causes of their emergence, recent psychological and other studies about them, and psychological and neuroaesthetic studies about non-savant autistic individuals. The artistic features of autistic savant artists were significantly similar to those of outsider artists. Furthermore, the authors investigated the explanatory power of the paradoxical functional facilitation theory, the superior visual perception hypothesis, the "Hmmmmm" hypothesis, and the Neanderthal theory of autism regarding the emergence of autistic savant artists. In addition, we investigated whether an increase in savant characteristics was related to a decrease in the ability for social communication. The authors suggested that in studies on the aesthetic experience of non-savant autistic individuals, their aesthetic experience ability is never lower than that of neurotypical individuals and that some non-savant autistic individuals may potentially have artistic talent. Finally, the authors reviewed the effectiveness of the "autism savant spectrum syndromic disorder" proposed by some researchers. More scientific and systematic studies on autistic savant artists from a multidisciplinary perspective are warranted.

Differential Item Functioning of the Jaw Functional Limitation Scale

AIMS: To assess the differential item functioning (DIF) of the Jaw Functional Limitation Scale (JFLS) due to gender, age, and language (English vs Spanish). METHODS: JFLS data were collected from a consecutive sample of 2,115 adult dental patients from HealthPartners dental clinics in Minnesota. Participants with missing data were excluded, and analyses were performed using data from 1,678 participants. Whether the item response theory (IRT) model assumptions of essential unidimensionality and local independence held up for the JFLS was examined. Then, using Samejima's graded response model, the IRT log-likelihood ratio approach was used to detect DIF. The magnitude and impact of DIF based on Raju's noncompensatory DIF (NCDIF) cutoff value of 0.096, Cohen's effect sizes, and test (or scale) characteristic curves were also assessed. RESULTS: Essential unidimensionality was confirmed, but locally dependent items were found on the JFLS. A few items were flagged with statistically significant DIF after adjustment for multiple comparisons. The NCDIF indices associated with all DIF items were < 0.096, and they had small effect sizes of ≤ 0.2. The differences between the expected scores shown in the test characteristic curves were little to none. CONCLUSION: The present results support the use of the JFLS summary score to obtain psychometrically robust score comparisons across English- and Spanish-speaking, male and female, and younger and older dental patients. Overall, the magnitude of DIF was relatively small, and the practical impact minimal.

Infectious Spondylitis Caused by Streptococcus gordonii.

Infectious spondylitis is a rare but severe disease of the spine caused by bacteria or other pathogens. Particularly in immunocompromised patients, a definitive source of infection often remains uncertain. Among many pathogens, Streptococcus gordonii, a normal oral flora, is a very rare pathogen in infectious spondylitis. Only a few articles have reported infectious spondylitis caused by Streptococcus gordonii. To the best of our knowledge, there have been no reports of surgically treated infectious spondylitis caused by Streptococcus gordonii. Hence, in the current report, we present the case of a 76-year-old woman with known type 2 diabetes who was transferred to our medical center due to infectious spondylitis caused by Streptococcus gordonii following an L1 compression fracture and underwent an operation for treatment.

Graph Theoretical Analysis of Brain Structural Connectivity in Patients with Alcohol Dependence.

This study aimed to compare brain structural connectivity using graph theory between patients with alcohol dependence and social drinkers. The participants were divided into two groups; the alcohol group (N=23) consisting of patients who had been hospitalized and had abstained from alcohol for at least three months and the control group (N=22) recruited through advertisements and were social drinkers. All participants were evaluated using 3T magnetic resonance imaging. A total of 1000 repeated whole-brain tractographies with random parameters were performed using DSI Studio. Four hundred functionally defined cortical regions of interest (ROIs) were parcellated using FreeSurfer based on the Schaefer Atlas. The ROIs were overlaid on the tractography results to generate 1000 structural connectivity matrices per person, and 1000 matrices were averaged into a single matrix per subject. Graph analysis was performed through igraph R package. Graph measures were compared between the two groups using analysis of covariance, considering the effects of age and smoking pack years. The alcohol group showed lower local efficiency than the control group in the whole-brain (F=5.824, p=0.020), somato-motor (F=5.963, p=0.019), and default mode networks (F=4.422, p=0.042). The alcohol group showed a lower global efficiency (F=5.736, p=0.021) in the control network. The transitivity of the alcohol group in the dorsal attention network was higher than that of the control (F=4.257, p=0.046). Our results imply that structural stability of the whole-brain network is affected in patients with alcohol dependence, which can lead to ineffective information processing in cases of local node failure.

Suppression of superoxide/hydrogen peroxide production at mitochondrial site IQ decreases fat accumulation, improves glucose tolerance and normalizes fasting insulin concentration in mice fed a high-fat diet.

We developed S1QEL1.719, a novel bioavailable S1QEL (suppressor of site IQ electron leak). S1QEL1.719 prevented superoxide/hydrogen peroxide production at site IQ of mitochondrial complex I in vitro. The free concentration giving half-maximal suppression (IC50) was 52 nM. Even at 50-fold higher concentrations S1QEL1.719 did not inhibit superoxide/hydrogen peroxide production from other sites. The IC50 for inhibition of complex I electron flow was 500-fold higher than the IC50 for suppression of superoxide/hydrogen peroxide production from site IQ. S1QEL1.719 was used to test the metabolic effects of suppressing superoxide/hydrogen peroxide production from site IQin vivo. C57BL/6J male mice fed a high-fat chow for one, two or eight weeks had increased body fat, decreased glucose tolerance, and increased fasting insulin concentrations, classic symptoms of metabolic syndrome. Daily prophylactic or therapeutic oral treatment of high-fat-fed animals with S1QEL1.719 decreased fat accumulation, strongly protected against decreased glucose tolerance and prevented or reversed the increase in fasting insulin level. Free exposures in plasma and liver at Cmax were 1-4 fold the IC50 for suppression of superoxide/hydrogen peroxide production at site IQ and substantially below levels that inhibit electron flow through complex I. These results show that the production of superoxide/hydrogen peroxide from mitochondrial site IQin vivo is necessary for the induction and maintenance of glucose intolerance caused by a high-fat diet in mice. They raise the possibility that oral administration of S1QELs may be beneficial in metabolic syndrome.

Should the frequency, severity, or both response scales be used for multi-item dental patient-reported outcome measures?

BACKGROUND: The Oral Impacts on Daily Performances (OIDP) index asks the respondents to indicate both, the frequency and severity of the impact. However, it is not clear if the two scaling methods are correlated, and if using one scale is sufficient. The purpose of the study was to investigate the correlation between frequency and severity rating scales of the OIDP instrument, and whether only one of the rating scales can be used instead of both. METHODS: A battery of patient-reported outcome questionnaires were administered to a consecutive sample of adult dental patients from HealthPartners dental clinics in Minnesota (N = 2,115). Only those who responded to any of the OIDP items were included in the analysis for this study (N = 873). We assessed correlations between the frequency and severity scales for all OIDP items, and for the summary scores of the two OIDP response scales. We additionally fit a categorical structural equation model (SEM) (or an item factor analysis model) and examined the correlation between two latent variables (Frequency and Severity). RESULTS: The correlation estimates for all OIDP items were greater than 0.50, indicating large correlations between the frequency and severity scores for each OIDP item. The correlation estimate between the two summary scores was 0.85 (95% CI [0.82-0.86]). When we calculated the correlation coefficient using a latent variable model, the value increased to 0.96 (95% CI [0.93-1.00]). CONCLUSION: Our study findings show that OIDP frequency and severity scores are highly correlated, which indicates the use of one scale only. Based on previous evidence, we recommend applying the frequency rating scale only in research and clinical settings.

Hippocampal Subfields and White Matter Connectivity in Patients with Subclinical Geriatric Depression.

Despite an abundance of research related to the functional and structural changes of the brain in patients with geriatric depression, knowledge related to early alterations such as decreased white matter connectivity and their association with cognitive decline remains lacking. We aimed to investigate early alterations in hippocampal microstructure and identify their associations with memory function in geriatric patients with subclinical depression. Nineteen participants with subclinical geriatric depression and 19 healthy controls aged ≥65 years exhibiting general cognitive function within the normal range were included in the study and underwent assessments of verbal memory. Hippocampal subfield volumes were determined based on T1-weighted magnetization-prepared rapid gradient echo (T1-MPRAGE) images, while group tractography and connectometry analyses were conducted using diffusion tensor images. Our findings indicated that the volumes of whole bilateral hippocampus, cornus ammonis (CA) 1, molecular layer, left subiculum, CA3, hippocampal tail, right CA4, and granule cell/molecular layers of the dentate gyrus (GC-ML-DG) were significantly smaller in the subclinical depression group than in the control group. In the subclinical depression group, verbal learning was positively correlated with the volumes of the CA1, GC-ML-DG, molecular layer, and whole hippocampus in the right hemisphere. The fractional anisotropy of the bilateral fornix was also significantly lower in the subclinical depression group and exhibited a positive correlation with verbal learning and recall in both groups. Our results suggest that hippocampal microstructure is disrupted and associated with memory in patients with subclinical depression.

Item and scale properties of the Oral Health Literacy Adults Questionnaire assessed by item response theory.

OBJECTIVES: a) To evaluate the item and scale properties of the Oral Health Literacy Adults Questionnaire (OHL-AQ) in an adult general population. b) To determine precision or accuracy of the respondents' estimated scores along the Oral Health Literacy (OHL) spectrum using item response theory (IRT) modeling. METHODS: Survey data were collected from a convenience sample of 405 adult attendees of the 2014 Minnesota State Fair. We used the two-parameter logistic (2PL) model for the item response theory (IRT) analyses of OHL-AQ data and calibrated items to estimate model-based item difficulty and discrimination parameters. Item and scale properties were also assessed by plotting and interpreting item characteristic curves (ICCs), test characteristic curve (TCC), and test information function (TIF). RESULTS: Based on interpretation of model coefficients, statistical testing, and model fit criteria, we deemed the 2PL model superior and selected this model to examine item and scale properties. Scale reliability was shown to be good through the test information function (TIF). TIF from our analysis showed that higher levels of OHL were measured less precisely than lower levels of OHL. CONCLUSION: We demonstrated OHL-AQ as a whole has promising psychometric properties. However, for equiprecise measurement across the scale range, the scale needs more items for measuring higher levels of OHL.

Disrupted Association Between Empathy and Brain Structure in Attention-Deficit/Hyperactivity Disorder.

OBJECTIVES: To investigate the relationship between brain structure and empathy in early adolescents with attention-deficit/hyperactivity disorder (ADHD). METHODS: Nineteen early adolescents with ADHD and 20 healthy controls underwent 3T MRI. All the participants were assessed for different aspects of empathy using measures including the Interpersonal Reactivity Index and Empathy Quotient. Cortical thickness and subcortical structural volume based on T1-weighted scans were analyzed using FreeSurfer. RESULTS: Cognitive empathy (t=-2.52, p=0.016) and perspective taking (t=-2.10, p=0.043) were impaired in the ADHD group compared with the control group. The cluster encompassing the left posterior insular, supramarginal, and transverse temporal cortices [cluster-wise p-value (CWP)=0.001], which are associated with emotional empathy, was significantly smaller in the ADHD group, and the volume of the left nucleus accumbens was greater than that of the control group (F=10.12, p=0.003, effect size=0.22). In the control group, the left superior temporal (CWP=0.002) and lingual cortical (CWP=0.035) thicknesses were positively associated with cognitive empathy, while the right amygdala volume was positively associated with empathic concern (Coef=14.26, t=3.92, p=0.001). However, there was no significant correlation between empathy and brain structure in the ADHD group. CONCLUSION: The ADHD group had a smaller volume of the cortical area associated with emotional empathy than the control group, and there was no brain region showing significant correlation with empathy, unlike in the control group.