scholarly journals Five-Factor Model Personality Disorder Traits, Health Behaviors, Health Perceptions, and Insomnia Symptoms in Older Adults

2021 ◽  
pp. 1-28
Author(s):  
Joshua R. Oltmanns ◽  
Thomas A. Widiger
Keyword(s):  
Older Adults ◽  
Personality Disorder ◽  
Health Behaviors ◽  
Physical Health ◽  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Community Sample ◽  
Categorical Models ◽  
Insomnia Symptoms

Personality traits predict physical health outcomes, including health behaviors, disease, and mortality. Maladaptive traits of personality disorders may predict even more variance in physical health indicators. Dimensional models of maladaptive personality traits are replacing categorical models of personality disorder, and the Five-Factor Model of personality disorder (FFMPD) is a useful dimensional model of maladaptive traits. However, there has been little work investigating the criterion validity of the FFMPD. The present study serves as a broad initial overview of the FFMPD scales in the prediction of health behaviors, heath perceptions, and insomnia symptoms across two time points in a representative community sample of older adults (N = 1,060). Findings indicate that the FFMPD scales explain a significant amount of variance in the physical health variables across time. Exploratory analyses indicate that the FFMPD traits have incremental validity over covariates, normal-range personality traits, and personality disorder criteria.

scholarly journals Five-Factor Model Personality Disorder traits, health behaviors, health perceptions, and insomnia symptoms in older adults

2020 ◽  
Author(s):  
Joshua R. Oltmanns ◽  
Thomas A. Widiger
Keyword(s):  
Older Adults ◽  
Personality Disorder ◽  
Health Behaviors ◽  
Physical Health ◽  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Health Perceptions ◽  
Categorical Models ◽  
Insomnia Symptoms

Personality traits predict physical health outcomes including health behaviors, health perceptions, disease, and mortality. Maladaptive traits of personality disorders may predict even more variance in physical health indicators. Dimensional models of maladaptive personality traits are replacing categorical models of personality disorder, and the five-factor model of personality disorder (FFMPD) is a useful dimensional model of maladaptive traits. However, there has been little work investigating the criterion validity of the FFMPD. The present study serves as a broad initial overview of the FFMPD scales in the prediction of health behaviors, heath perceptions, and insomnia symptoms across two timepoints in a representative community sample of older adults (N = 1,060). Findings indicate that the FFMPD scales explain a significant amount of variance in the physical health variables across time. Exploratory analyses indicate that the FFMPD traits have incremental validity over covariates, normal-range personality traits, and personality disorder criteria.

scholarly journals Personality and Insomnia Symptoms in Older Adults: The Baltimore Longitudinal Study of Aging

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 578-579
Author(s):  
Darlynn Rojo-Wissar ◽  
Amal Wanigatunga ◽  
Eleanor Simonsick ◽  
Antonio Terracciano ◽  
Jennifer Schrack ◽  
...  
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Sleep Disturbances ◽  
Positive Emotions ◽  
Rating Scale ◽  
Factor Model ◽  
Five Factor Model ◽  
Baltimore Longitudinal Study ◽  
Insomnia Symptoms ◽  
Insomnia Severity

Abstract Personality and disturbed sleep are tied to medical morbidity in older adults. We examined associations of personality dimensions and facets from the five-factor model with reports of insomnia symptoms in 1,069 well-functioning older adults 60-97 (SD=8.64) years (51% women) from the Baltimore Longitudinal Study of Aging. Personality was assessed by the Revised NEO Personality Inventory, and insomnia symptoms measured by the Women’s Health Initiative Insomnia Rating Scale. Adjusting for demographics and depressive symptoms, higher neuroticism (B=0.05, SE=-0.01, p<.001) and lower conscientiousness (B=-0.03, SE=-0.01, p<.05) were associated with greater insomnia severity. Although openness, extraversion and agreeableness were not associated with insomnia, a facet of each was. Higher scores on the “positive emotions” facet of extraversion (B =-0.03, SE=-0.01, p<.05) “ideas” facet of openness (B=-0.03, SE=-0.01, p<.05) and altruism facet of agreeableness (B=-0.03, SE=-0.01, p<.05) were associated with lower insomnia severity. Sleep disturbances may partially mediate personality’s influence on health. Part of a symposium sponsored by the Sleep, Circadian Rhythms and Aging Interest Group.

Personality Disorders as Collections of Traits

2019 ◽  
pp. 40-70
Author(s):  
Joshua D. Miller
Keyword(s):  
Personality Disorder ◽  
Construct Validity ◽  
Personality Traits ◽  
Personality Disorders ◽  
General Model ◽  
Alternative Model ◽  
Factor Model ◽  
Five Factor Model ◽  
Empirical Relations ◽  
Expert Ratings

This chapter argues that personality disorders can and should be understood as collections of basic personality traits from a general model of personality, namely the five-factor model (FFM). It reviews evidence for the convergence of FFM personality disorder profiles across multiple approaches—expert ratings (i.e., researchers and clinicians) and empirical relations. It discusses how to score the personality disorders from the FFM and provides evidence for the convergent, discriminant, and construct validity of this approach. The chapter also demonstrates how the new alternative model for personality disorders can be embedded within the more established and robust FFM literature.

Incremental validity of the Structured Interview for the Five‐Factor Model of Personality (SIFFM)

2005 ◽  
Vol 19 (4) ◽  
pp. 343-357 ◽  
Author(s):  
Stephanie D. Stepp ◽  
Timothy J. Trull ◽  
Rachel M. Burr ◽  
Mimi Wolfenstein ◽  
Angela Z. Vieth
Keyword(s):  
Personality Disorder ◽  
Personality Traits ◽  
Clinical Utility ◽  
Factor Model ◽  
Five Factor Model ◽  
Structured Interview ◽  
Incremental Validity ◽  
Self Report ◽  
Histrionic Personality Disorder

This study examined the incremental validity of the Structured Interview for the Five‐Factor Model (SIFFM; Trull & Widiger, 1997) scores in the prediction of borderline, antisocial, and histrionic personality disorder symptoms above and beyond variance accounted for by scores from the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993), a self‐report questionnaire that includes items relevant to both normal (i.e. Big Three) and abnormal personality traits. Approximately 200 participants (52 clinical outpatients, and 149 nonclinical individuals from a borderline‐features‐enriched sample) completed the SIFFM, the SNAP, and select sections of the Personality Disorder Interview—IV (PDI‐IV; Widiger, Mangine, Corbitt, Ellis, & Thomas, 1995). We found support for the incremental validity of SIFFM scores, further indicating the clinical utility of this instrument. However, results also supported the incremental validity of SNAP scores in many cases. We discuss the implications of the findings in terms of dimensional approaches to personality disorder assessment. Copyright © 2005 John Wiley & Sons, Ltd.

Personality as a Determinant of Health Behaviors and Chronic Diseases: Review of Meta-Analytic Evidence

2018 ◽  
pp. 316-332
Author(s):  
Markus Jokela
Keyword(s):  
Health Behaviors ◽  
Personality Traits ◽  
Chronic Diseases ◽  
Factor Model ◽  
Five Factor Model ◽  
Developmental Patterns ◽  
All Cause Mortality ◽  
Physical Diseases ◽  
Meta Analyses ◽  
Study Designs

This chapter reviews the meta-analytic evidence on how personality traits of the Five-Factor Model (extraversion, neuroticism, agreeableness, conscientiousness, and openness to experience) are associated with health behaviors (e.g., smoking, physical activity); chronic physical diseases (e.g., Type 2 diabetes, coronary heart disease); and all-cause mortality. A systematic literature identified 22 meta-analyses investigating the topic. The evidence suggests multiple associations between personality traits and health behaviors. By contrast, only conscientiousness was systematically associated with chronic diseases and mortality across multiple studies and disease end points, including all-cause mortality. While associations between personality and health outcomes are well established, the pathways connecting them remain largely unknown. Future studies need to focus on study designs that can better address the developmental patterns, mediating pathways, and causality in explaining why personality traits are associated with health.

scholarly journals Dysfunctional personality traits: relationship with Five Factor Model, adaptation and symptomatology in a community sample from Buenos Aires

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Juliana Beatriz Stover ◽  
Alejandro Castro Solano ◽  
Mercedes Fernández Liporace
Keyword(s):  
Personality Traits ◽  
Buenos Aires ◽  
Factor Model ◽  
Five Factor Model ◽  
Community Sample ◽  
Severity Index ◽  
World Health ◽  
Global Severity Index ◽  
Whodas 2.0 ◽  
Dsm 5

The paper introduces an analysis of the dimensional maladaptive personality traits model stated in the section III of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5), conducted on a community sample composed of 906 adults from Buenos Aires, Argentina. Data were gathered using a socio-demographic survey as well as the Personality Inventory for DSM-5 (PID-5), the Big Five Inventory (BFI), the Symptom Check List 90-R (SCL-90-R), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0). A joint exploratory factor analysis was carried out including the PID-5’s 25 facets along with BFI’s 5 factors as input variables. Findings showed a 5-factor structure mostly coincident with DSM-5’s hypotheses as well as with previous research. Besides, correlations calculated between PID-5 and BFI scores behaved according to theoretical hypotheses. By means of a two-stage cluster analysis which used WHODAS 2.0 score and the Global Severity Index index from SCL-90-R as segmentation criteria, two groups were differentiated: The High-Adaptation/Low-Symptomatology group vs the Low- Adaptation/High-Symptomatology one. The second group obtained significantly higher means in the five domains, and in 24 of the 25 facets of PID-5.

Criterion A Scales: Convergent, Discriminant, and Structural Relationships

Assessment ◽  
2020 ◽  
pp. 107319112094716
Author(s):  
Gillian A. McCabe ◽  
Joshua R. Oltmanns ◽  
Thomas A. Widiger
Keyword(s):  
Personality Disorder ◽  
Personality Traits ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Equation Modeling ◽  
Criterion A ◽  
Alternative Measures ◽  
Pathological Personality Traits

The alternative model of personality disorder was created to address the apparent failings of Diagnostic and Statistical Manual of Mental Disorders–Fourth edition–text revision personality disorder diagnostic categories and consists of Criterion A (i.e., personality functioning) and Criterion B (i.e., pathological personality traits). There are now four alternative measures of the Criterion A impairments but, perhaps surprisingly, no study has yet compared any one of them with any one of the other three. The current study assesses the convergent (and discriminant) validity of all four, as well as their structural relationship with the five-factor model (FFM), a widely accepted model for understanding the structure of normal and pathological personality traits. Exploratory structural equation modeling analyses of the Criterion A measures and FFM scales demonstrate that the Criterion A self-identity scale can be understood as a maladaptive variant of FFM neuroticism. Moreover, results indicate no appreciable discriminant validity in the assessment of the Criterion A impairments—the Criterion A scales correlated more highly within measures than across alternative measures, even when measuring the same construct. Implications of these findings for the conceptualization and assessment of Criterion A self and interpersonal impairments are discussed.

scholarly journals Personality Change: Longitudinal Self-Other Agreement and Convergence With Retrospective-Reports

2019 ◽  
Author(s):  
Joshua R. Oltmanns ◽  
Joshua James Jackson ◽  
Thomas Oltmanns
Keyword(s):  
Older Adults ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Development ◽  
Community Sample ◽  
Research Literature ◽  
Personality Change ◽  
Self Report ◽  
Research Assessment ◽  
Retrospective Reports

The research literature on personality development is based mostly on self-report studies and on samples in younger adulthood. The present multi-method study examines self–other agreement on longitudinal personality change and convergence between self- and informant-reports of longitudinal and retrospective personality change in older adulthood. It provides a rare validation test of longitudinal measurements of personality change. A representative community sample of 1,630 older adults (M age = 62.5) and their informants completed self- and informant-personality assessments across three waves that were on average 6.5 years apart. Self- and informant-reports of retrospective personality change were collected at the third wave. Latent growth modeling was used to examine longitudinal personality change, longitudinal self–other agreement on personality change, and convergence between longitudinal and retrospective personality change in each five-factor model domain. Older adults in the present study reported less change than has been found in younger samples; however, both self- and informant-reports indicated declines in extraversion. Results showed strong self–other agreement on longitudinal personality change in all five-factor model domains, moderate correspondence between longitudinal and retrospective-reports of change within-method (i.e., within self- or informant-report), modest self–other agreement on retrospective-reports, and little association between longitudinal and retrospective change across-method (i.e., between self- and informant-reports). Findings provide validation evidence for both longitudinal and retrospective assessments of personality change, indicate that informants provide unique perspectives on personality change, and could have potentially important implications for research, assessment, and clinical settings.

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