1
|
Shura RD, Ingram PB, Miskey HM, Martindale SL, Rowland JA, Armistead-Jehle P. Validation of the personality assessment inventory (PAI) cognitive bias (CBS) and cognitive bias scale of scales (CB-SOS) in a post-deployment veteran sample. Clin Neuropsychol 2023; 37:1548-1565. [PMID: 36271822 DOI: 10.1080/13854046.2022.2131630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/27/2022] [Indexed: 11/03/2022]
Abstract
Objective: The present study evaluated the function of four cognitive, symptom validity scales on the Personality Assessment Inventory (PAI), the Cognitive Bias Scale (CBS) and the Cognitive Bias Scale of Scales (CB-SOS) 1, 2, and 3 in a sample of Veterans who volunteered for a study of neurocognitive functioning. Method: 371 Veterans (88.1% male, 66.1% White) completed a battery including the Miller Forensic Assessment of Symptoms Test (M-FAST), the Word Memory Test (WMT), and the PAI. Independent samples t-tests compared mean differences on cognitive bias scales between valid and invalid groups on the M-FAST and WMT. Area under the curve (AUC), sensitivity, specificity, and hit rate across various scale point-estimates were used to evaluate classification accuracy of the CBS and CB-SOS scales. Results: Group differences were significant with moderate effect sizes for all cognitive bias scales between the WMT-classified groups (d = .52-.55), and large effect sizes between the M-FAST-classified groups (d = 1.27-1.45). AUC effect sizes were moderate across the WMT-classified groups (.650-.676) and large across M-FAST-classified groups (.816-.854). When specificity was set to .90, sensitivity was higher for M-FAST and the CBS performed the best (sensitivity = .42). Conclusion: The CBS and CB-SOS scales seem to better detect symptom invalidity than performance invalidity in Veterans using cutoff scores similar to those found in prior studies with non-Veterans.
Collapse
Affiliation(s)
- Robert D Shura
- W. G. (Bill) Hefner VA Healthcare System, Salisbury, NC, USA
- VA Mid-Atlantic (VISN 6) Mental Illness Research, Education, and Clinical Center (MIRECC), Durham, NC, USA
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Paul B Ingram
- Texas Tech University, Lubbock, TX, USA
- Dwight D. Eisenhower Veteran Affairs Medical Center, Eastern Kansas Veteran Healthcare System, Leavenworth, KS, USA
| | - Holly M Miskey
- W. G. (Bill) Hefner VA Healthcare System, Salisbury, NC, USA
- VA Mid-Atlantic (VISN 6) Mental Illness Research, Education, and Clinical Center (MIRECC), Durham, NC, USA
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sarah L Martindale
- W. G. (Bill) Hefner VA Healthcare System, Salisbury, NC, USA
- VA Mid-Atlantic (VISN 6) Mental Illness Research, Education, and Clinical Center (MIRECC), Durham, NC, USA
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jared A Rowland
- W. G. (Bill) Hefner VA Healthcare System, Salisbury, NC, USA
- VA Mid-Atlantic (VISN 6) Mental Illness Research, Education, and Clinical Center (MIRECC), Durham, NC, USA
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | |
Collapse
|
2
|
Ingram PB, Herring TT, Armistead-Jehle P. Evaluating Personality Assessment Inventory Response Patterns in Active-Duty Personnel With Head Injury Using a Latent Class Approach. ARCHIVES OF CLINICAL NEUROPSYCHOLOGY : THE OFFICIAL JOURNAL OF THE NATIONAL ACADEMY OF NEUROPSYCHOLOGISTS 2023:6988103. [PMID: 36647732 DOI: 10.1093/arclin/acac113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/14/2022] [Accepted: 12/24/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVE Previous research has found that among those with brain injury, individuals have a variety of different potential symptom sets, which will be seen on the Personality Assessment Inventory (PAI). The number of different groups and what they measure have varied depending on the study. METHOD In active-duty personnel with a remote history of mild traumatic brain injury (n = 384) who were evaluated at a neuropsychology clinic, we used a retrospective database to examine if there are different groups of individuals who have distinct sets of symptoms as measured on the PAI. We examined the potential of distinct groups of respondents by conducting a latent class analysis of the clinical scales. Post hoc testing of group structures was conducted on concurrently administered cognitive testing, performance validity tests, and the PAI subscales. RESULTS Findings indicate a pattern of broad symptom severity as the most probable reason for multiple groups of respondents, suggesting that there are no distinct symptom sets observed within this population. Pathology levels were the most elevated on internalizing and thought disorder scales across the various class solutions. CONCLUSION Findings indicate that among active-duty service members with remote brain injury, there are no distinct groups of respondents with different sets of symptom types as has been found in prior work with other neuropsychology samples. We conclude that the groups found are likely a function of general psychopathology present in the population/sample rather than bona fide differences.
Collapse
Affiliation(s)
- Paul B Ingram
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, USA.,Dwight D Eisenhower Veteran Affairs Medical Center, Eastern Kansas Veteran Healthcare System, Leavenworth, KS, USA
| | - Tristan T Herring
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, USA
| | | |
Collapse
|
3
|
Hawn SE, Hawrilenko M, McDowell Y, Campbell S, Garcia NM, Simpson TL. An in-depth look at latent classes of DSM-5 psychiatric comorbidity among individuals with PTSD: Clinical indicators and treatment utilization. J Clin Psychol 2022; 78:2214-2244. [PMID: 35973077 PMCID: PMC9561047 DOI: 10.1002/jclp.23429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 04/25/2022] [Accepted: 07/26/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Posttraumatic stress disorder (PTSD) is associated with high comorbidity rates across the full range of psychiatric disorders. However, little is known about how psychiatric comorbidity manifests among people with PTSD, particularly with regard to concurrent diagnoses. METHOD Latent class analysis (LCA) was used to characterize discrete classes of PTSD comorbidity using past year DSM-5 diagnostic standards among a large nationally representative epidemiologic sample of U.S. adults. Follow-up analyses compared participant characteristics across latent classes. RESULTS The LCA was best characterized by five classes: low comorbidity, distress-fear, distress-externalizing, mania-fear-externalizing, and mania-externalizing. Excluding the low comorbidity class, proportions of borderline and schizotypal personality disorder were high across classes. CONCLUSION Participant characteristics across classes of past year PTSD comorbidity are explored through the lens of case conceptualization and treatment planning utility.
Collapse
Affiliation(s)
- Sage E. Hawn
- National Center for PTSD, Boston VA Healthcare System, Boston, MA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA
| | - Matthew Hawrilenko
- VA Puget Sound Healthcare System, Seattle, WA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA
| | | | - Sarah Campbell
- VA Puget Sound Healthcare System, Seattle, WA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA
| | | | - Tracy L. Simpson
- VA Puget Sound Healthcare System, Seattle, WA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA
| |
Collapse
|
4
|
Ingram PB, Morris CS, Golden B, Youngren WA, Fulton JA, Sharpnack J. The Influence of Service Era: Comparing Personality Assessment Inventory (PAI) Scale Scores Within a Posttraumatic Stress Disorder Treatment Clinic (PCT). J Clin Psychol Med Settings 2022; 29:624-635. [PMID: 34427816 DOI: 10.1007/s10880-021-09812-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2021] [Indexed: 11/27/2022]
Abstract
Research is mixed on the role of service era in symptom endorsement among Veterans, with differences emerging depending on the instrument evaluated. This study compares Personality Assessment Inventory (PAI) scale scores of VA test-takers who served during the Vietnam, Desert Storm, or Post-9/11 service eras. The sample was collected at a VA Posttraumatic Stress Disorder Clinical Team. Associations between gender and combat exposure were also examined as covariates. Results suggest that Veterans' self-report on the PAI is influenced by service era, even after accounting for gender and combat exposure during deployment. The largest differences were between Vietnam or Post-9/11 Veterans and those from the Gulf War era. Symptom differences typically varied across scales commonly associated with symptoms of trauma exposure/posttraumatic stress disorder. Implications for the clinical use of, and research with, the PAI and other broadband personality assessments within the VA healthcare system and trauma treatment settings are discussed.
Collapse
Affiliation(s)
- Paul B Ingram
- Department of Psychological Sciences, Texas Tech University, 2810 18th Street, Lubbock, TX, 79424, USA.
- Eastern Kansas Veteran Healthcare System, Topeka, KS, USA.
| | - Cole S Morris
- Department of Psychological Sciences, Texas Tech University, 2810 18th Street, Lubbock, TX, 79424, USA
| | - Brittney Golden
- Department of Psychological Sciences, Texas Tech University, 2810 18th Street, Lubbock, TX, 79424, USA
| | | | - Joe A Fulton
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | | |
Collapse
|
5
|
Patterns of restrained eating in Chinese adolescents' interpersonal contexts: A latent profile analysis. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-02748-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
|