Current categorical and dimensional conceptualizations of personality disorder (PD) typically confound pathological PD traits with distress and impairment (dysfunction). The current study examines whether dimensions of personality pathology and psychosocial dysfunction can be psychometrically distinguished. To that end, we collected self-report ratings of personality pathology and dysfunction at baseline, along with daily ratings of dysfunctional behavior, over 10 consecutive days. Correlations revealed substantial overlap between traits and dysfunction measured at baseline. However, follow-up hierarchical regressions revealed that baseline dysfunction ratings incrementally predicted daily dysfunction ratings after accounting for personality trait ratings, suggesting that traits and dysfunction are at least partially differentiable. However, the incremental effects were stronger for some dysfunction domains (i.e., Self-Mastery and Basic Functioning) than for others (Well-Being and Interpersonal), suggesting that maladaptive trait measures are more confounded with the latter types of impairment. These findings suggest that distinguishing maladaptive PD traits from functioning in PD classification systems is likely more difficult than would be expected, a finding that has important implications for the competing Section II and Section III conceptualizations of PD presented in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.
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http://dx.doi.org/10.1037/per0000071 | DOI Listing |
PLoS One
January 2025
Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
Objectives: This study aimed to evaluate socioeconomic inequalities in self-reported oral health among community-dwelling Brazilian older adults and evaluate the oral health factors contributing to the inequalities.
Methods: This was a cross-sectional study with data from the Brazilian National Health Survey conducted in 2019. The dependent variable is the self-report of oral health categorized as good or poor.
Alzheimers Dement
December 2024
University of Texas-Austin, Austin, TX, USA.
Background: Older adults increasingly rely on digital technologies to perform instrumental activities of daily living (iADLs), including commerce, managing accounts online, using texting and websites for social connection, and accessing health services via web platforms. Despite the increasingly central role of technology to daily life, current iADL measures do not regularly capture the digital approach to daily activities. The current study had three broad aims 1) determine the applicability of technology-based iADLs to the daily lives of older adults being evaluated for Alzheimer's disease and related dementias (ADRD), 2) compare the level of dependence for tech and traditional iADL items, and 3) determine if adding technology related iADL items improves the diagnostic accuracy of iADL assessments.
View Article and Find Full Text PDFBackground: Predicting decline over the course of Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), especially on relatively short time frames, is vital for appropriate treatment planning and to tailor patient and support systems' expectations. The current study tested if a functional upper limb motor learning task could predict one-year change in cognition and daily function.
Method: Cognitively unimpaired (n = 61), MCI (n = 35), and AD (32) older subjects (age: 74.
Alzheimers Dement
December 2024
INCT - NeuroTecR and CTMM, Belo Horizonte, Minas Gerais, Brazil.
Background: Post-Covid syndrome has been associated to enduring impairments in functionality, cognition, mood and physical capabilities among older adults.
Methods: The objective was to prospectively evaluate clinical, cognitive and functional impairments in elderly people at 3 and 12 months after the diagnosis of Covid-19. Prospective cohort study of participants aged 60 years and over after a Covid-19 diagnosis.
Alzheimers Dement
December 2024
Georgia State University, Atlanta, GA, USA.
Background: Beginning new Alzheimer's disease (AD) treatments before AD symptoms are prominent would optimize the benefits of these disease slowing treatments. To accomplish this goal, clinicians must identify measures of early disease progression. As a step in doing this, we set out to characterize the relationships between cognitive complaints, wellbeing, cognitive performance, and metacognitive calibration in older adults in order to inform a model of cognition in typical older adults.
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