This study examined happiness and satisfaction as possible foundations for long-term well-being and resilience in dendental school's faculty, students, and alumni also enhanced their perceived well-being and resilience and to determine the factor they received from clinical faculty members contributed most to their happiness. The lowest level of happiness among the groups participants in our study. More research is needed to understand the relationship among positive environments, well-being, and provider resilience in dental education.-erober@midwestern.edu.

Scholars and providers are coming to realize that one’s ability to notice and respond to internal body sensations (i.e., interoception) contributes to an overall sense of wellbeing. Research has demonstrated a relationship between interoceptive awareness and anxiety, for example. Currently, however, tools for evaluating one’s interoception lack the conceptual foundation and clarity necessary to identify everyday behaviors that specifically reflect interoceptive awareness. Unlike existing interoceptive measures, the Sensory Profile Interoception (SPI) scale is participation-based and grounded in Dunn’s Sensory Processing framework. In this study we investigated concurrent validity by correlating the SPI with the Adolescent/Adult Sensory Profile (A/ASP); we investigated construct validity by correlating the SPI with the Perth Alexithymia Scale (PAS), the Body Awareness Scale (BAS), and the State-Trait Anxiety Inventory (STAI). Using the REDCAP online platform, 74 college-aged participants completed the measures. Using Spearman rank order correlations there were statistically significant relationships between the corresponding sensory pattern subscales on SPI and A/ASP (r = 0.277 to r = 0.582). The PAS was only weakly related to the registration subscale of the SPI (r = 0.260). The BAS had significant relationships with seeking and avoiding on the SPI (r = 0.496 and r = 0.385). The STAI had significant relationships with sensitivity and registrations of the SPI (r = 0.266 and r = 0.361 for state; r = 0.403 and r = 0.321 for trait). Taken together, these findings provide evidence of construct validity of the SPI to identify participation patterns associated with both high and low interoception. With the more precise information the SPI provides, professionals can design tailored interventions to support everyday life goals and researchers can study interoception within authentic activities.

BackgroundThe Alzheimer’s Questionnaire (AQ) is a brief, informant‐based screening tool that has demonstrated good diagnostic accuracy in identifying clinical Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI). The AQ has been further validated by its correlations with established informant‐ and performance‐based cognitive assessments as well as with standard neuropsychological tests. Recent evidence has also demonstrated that the AQ correlates well with PET‐based measures of amyloid plaque. The aim of this study is to validate the AQ with the hallmark neuritic plaque (NP) and neurofibrillary tangle (NFT) pathology of AD.MethodData from 205 prospectively‐followed autopsy cases classified as AD (n=90), aMCI (n=42), or cognitively unimpaired (CU, n=73) were used in this analysis. The average age at death was 87.07±7.84 years with the average interval between the last clinical assessment and death of 16.48±14.32 months. Semi‐quantitative measures of NP and NFT pathology from five brain regions were used to assess total plaque and total tangle loads which were then correlated with the AQ, Clinical Dementia Rating Sum of Boxes (CDR‐SOB), and the Mini‐Mental State Exam (MMSE). Spearman correlations were used in the primary analyses and were followed up with robust regression models that adjusted for age at death, sex, education, and APOE ε4 carrier status.ResultThe AQ correlated significantly with NP load (r=0.37, p<0.001) and NFT load (r=0.57, p<0.001). These associations remained significant after covariate adjustment (NP: β=0.28, 95% CI: (0.21, 0.34), p<0.001; NFT: β=0.22, 95% CI: (0.17, 0.28), p<0.001). The MMSE and CDR‐SOB showed similar correlations with NP load (r=‐0.37, r=0.35, respectively) and NFT load (r=‐0.58, r=0.55, respectively).ConclusionThese findings extend previous clinical and neuroimaging findings of the AQ showing that it correlates well with the hallmark NP and NFT pathology of AD and provide additional confidence to clinicians who use the AQ to screen for AD‐related cognitive impairment.

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