Long-Term Cognitive Decline After Stroke: An Individual Participant Data Meta-Analysis.

BACKGROUND: Poststroke cognitive impairment is common, but the trajectory and magnitude of cognitive decline after stroke is unclear. We examined the course and determinants of cognitive change after stroke using individual participant data from the Stroke and Cognition Consortium. METHODS: Nine longitudinal hospital-based cohorts from 7 countries were included. Neuropsychological test scores and normative data were used to calculate standardized scores for global cognition and 5 cognitive domains. One-step individual participant data meta-analysis was used to examine the rate of change in cognitive function and risk factors for cognitive decline after stroke. Stroke-free controls were included to examine rate differences. Based on the literature and our own data that showed short-term improvement in cognitive function after stroke, key analyses were restricted to the period beginning 1-year poststroke to focus on its long-term effects. RESULTS: A total of 1488 patients (mean age, 66.3 years; SD, 11.1; 98% ischemic stroke) were followed for a median of 2.68 years (25th-75th percentile: 1.21-4.14 years). After an initial period of improvement through up to 1-year poststroke, decline was seen in global cognition and all domains except executive function after adjusting for age, sex, education, vascular risk factors, and stroke characteristics (-0.053 SD/year [95% CI, -0.073 to -0.033]; P<0.001 for global cognition). Recurrent stroke and older age were associated with faster decline. Decline was significantly faster in patients with stroke compared with controls (difference=-0.078 SD/year [95% CI, -0.11 to -0.045]; P<0.001 for global cognition in a subgroup analysis). CONCLUSIONS: Patients with stroke experience cognitive decline that is faster than that of stroke-free controls from 1 to 3 years after onset. An increased rate of decline is associated with older age and recurrent stroke.

Validation of the Korean-Everyday Cognition (K-ECog).

BACKGROUND: In the early diagnosis of dementia, an important factor is the evaluation of activities of daily living. The Everyday Cognition (ECog) scale was developed to measure functional changes that are the everyday correlates of specific neuropsychological impairments. This study aimed to examine the validity of the Korean version of Everyday Cognition (K-ECog). METHODS: The participants were 268 cognitively normal older adults (NA), 151 amnestic mild cognitive impairment (aMCI), and 77 dementia of the Alzheimer's type (DAT). The Korean-Mini Mental State Examination (K-MMSE), Korean-Montreal Cognitive Assessment (K-MoCA), and Short form of the Geriatric Depression Scale (SGDS) were administered to all the participants. The K-ECog and Korean-Instrumental Activities of Daily Living (K-IADL) were rated by their informants. RESULTS: Internal consistency (Cronbach's α) of K-ECog global function was 0.93, and its test-retest reliability (Pearson's r) was 0.73. K-ECog was significantly correlated with K-IADL (0.66), K-MMSE (-0.38), and K-MoCA (-0.26). Confirmatory factor analysis of K-ECog yielded seven factor model that the original ECog proposed. K-ECog global score and six domain scores were significantly different across the NA, aMCI, and DAT groups. Receiver operating characteristic curve analyses showed that K-ECog effectively differentiated aMCI and DAT patients from NA, suggesting that K-ECog is as sensitive for detecting functional impairments as K-IADL. The proposed optimal cut-off score to differentiate aMCI from NA was 1.41. CONCLUSION: K-ECog is proven reliable and valid for clinical use. K-ECog can be used to distinguish very early stages of impaired ADL and cognitive impairment in the community.

A Comparison of Item Characteristics and Test Information Between the K-MMSE~2:SV and K-MMSE.

Background and Purpose: The Korean-Mini Mental State Examination, 2nd edition (K-MMSE~2) was recently released. This study aimed to determine whether the K-MMSE~2: Standard Version (K-MMSE~2:SV) had the same test characteristics as the K-MMSE. Methods: A total of 1,514 healthy community-based participants aged 19 to 90 years were administered the K-MMSE~2:SV Blue Form along with the language items from the K-MMSE. The item and test characteristics and test information for the K-MMSE~2:SV and K-MMSE were compared using Item Response Theory analysis. Results: Item discriminations for the K-MMSE~2:SV and K-MMSE were above the moderate range for all items except Recall. Most of the items on the K-MMSE~2:SV and K-MMSE had item category difficulty in the very easy or easy range. The test information curve (TIC) showed that the K-MMSE~2:SV and K-MMSE provide almost the same amount of information (27.86 vs. 28.44), with both tests providing the most information at an ability level of -1.57. The generalizability (G) coefficient for the K-MMSE~2:SV and K-MMSE was 0.99. Conclusions: These results indicate that the K-MMSE~2:SV and K-MMSE are equally optimal tests for screening for mild cognitive impairment and early dementia. Given that the amount of test information provided by the two tests was almost identical, the shapes of the TICs were very similar, and the G coefficient was close to 1, we can conclude that the K-MMSE and K-MMSE~2:SV are equivalent tests.

The factor structure and concurrent validity of the Korean version of the Metacognitions Questionnaire 30 (K-MCQ-30).

OBJECTIVES: We aimed to examine the factor structure of a Korean version of the Metacognitions Questionnaire 30 (K-MCQ-30) and to further evaluate its concurrent validity. METHOD: Confirmatory factor analyses were conducted on the data sets from two independent samples of Korean college students (n = 662; n = 664). Correlation and multiple regression analyses were conducted on the cross-sectional data from another sample (n = 97). RESULTS: The 5-factor model of the K-MCQ-30 showed a good fit to the first sample after minor modification. The revised 5-factor model was replicated with the second sample. Five factors of the K-MCQ-30 had positive correlations with measures of emotional disorder symptoms and predicted each of the symptoms in different ways. CONCLUSIONS: These results provide general support for the 5-factor structure of the K-MCQ-30 and its good concurrent validity in nonclinical samples.

A Normative Study of the Full Version of Story Memory in the Korean-Mini Mental State Examination, 2nd Edition: Expanded Version (K-MMSE-2: EV).

BACKGROUND AND PURPOSE: The Mini Mental State Examination, 2nd edition: Expanded version (MMSE-2: EV) involves an immediate recall (IR) of story memory (SM). A full version of SM has been developed and standardized; it includes delayed recall (DR) and recognition tests in addition to IR to increase its clinical utility as an independent story recall test. This study was conducted to provide norms for the full version of SM in the Korean version of MMSE-2: EV for clinical use. METHODS: A total of 1,168 participants (496 males and 672 females) were included in the study. The ages ranged from 19 to 90 years, and the education level ranged from illiterate to post-graduate. Regression analysis was used to evaluate the relative contributions of demographic variables (age, education, and sex) on the SM measures. RESULTS: We stratified age into 11 groups, and categorized the education level into 6 groups. It was found that the IR, DR, and recognition scores of SM were affected by age, education level, and sex. We provided corrected means and standard deviations of the IR, DR, and recognition scores of the SM for the demographic variables. CONCLUSIONS: The results indicate the importance of considering demographic variables in interpreting the full version of SM measures. The normative data we have provided in this study should be useful in clinical and research settings for detecting the impairment in verbal memory.

Clinical assessment of affective instability: comparing EMA indices, questionnaire reports, and retrospective recall.

Traditional self-report measures of psychopathology may be influenced by a variety of recall biases. Ecological momentary assessment (EMA) reduces these biases by assessing individuals' experiences as they occur in their natural environments. This study examines the discrepancy between trait questionnaire, retrospective report, and EMA measures of affective instability in psychiatric outpatients either with a borderline personality diagnosis (n = 58) or with a current episode of major depressive disorder or dysthymia (n = 42). The authors examined the agreement of 3 trait measures of affective instability-the Affective Instability subscale of the Personality Assessment Inventory-Borderline Features scale (L. C. Morey, 1991), the Affect Intensity Measure (R. J. Larsen, E. Diener, & R. Emmons, 1986), and the Affect Lability Scales (P. D. Harvey, B. R. Greenberg, & M. R. Serper, 1989)-and 1 retrospective mood recall task with EMA indices of mood and mood instability. Results indicate only modest to moderate agreement between momentary and questionnaire assessments of trait affective instability; agreement between recalled mood changes and EMA indices was poor. Implications for clinical research and practice and possible applications of EMA methodology are discussed.

Determining the number of factors using parallel analysis and its recent variants.

Parallel analysis (PA) is recommended as one of the best procedures to determine the number of factors but its theoretical justification has long been questioned. The current study discussed theoretical issues on the use of eigenvalues for dimensionality assessment and reviewed the development of PA and its recent variants proposed to address the issues. The performances of 13 different PAs including PA with minimum rank factor analysis, revised PA, and comparison data method were investigated through a Monte Carlo simulation under a wide range of factor structures that produce small factor-representing and nonrepresenting eigenvalues for different types of measurement scales. Results showed that the traditional PA using full correlation matrices performed best in most of the conditions, especially when population error was involved. However, the overall accuracy of PA was not satisfactory when factor-representing eigenvalues were small, that is, when factor loadings were low and factor correlations were high. From these results, we suggest that the original PA be used to determine the number of factors but the estimated number should not be taken as a fixed estimate. The number of factors within ±1 range of the estimate can be considered as viable candidates and interpretational validity of the competing models should be consulted for the decision. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was used to characterize and quantify a dynamic process--affective instability in borderline personality disorder (BPD). Sixty outpatients (34 with BPD and affective instability; 26 with current depressive disorder but not with BPD or affective instability) carried electronic diaries for approximately 1 month and were randomly prompted to rate their mood state up to 6 times a day. Results indicated that BPD patients (a) did not report significantly different mean levels of positive or negative affect; (b) displayed significantly more variability over time in their positive and negative affect scores; (c) demonstrated significantly more instability on successive scores (i.e., large changes) for hostility, fear, and sadness than did patients with depressive disorders; and (d) were more likely to report extreme changes across successive occasions (>or=90th percentile of change scores across participants) for hostility scores. Results illustrate different analytic approaches to quantifying variability and instability of affect based on intensive longitudinal data. Further, results suggest the promise of electronic diaries for collecting data from individuals in their natural environment for purposes of clinical research and assessment.

The effect of dialectical behavior therapy skills use on borderline personality disorder features.

We assessed the effect of DBT skills utilization on features of borderline personality disorder as measured by the Personality Assessment Inventory-Borderline Features Scale (PAI-BOR). Participants were outpatients (N = 27) enrolled in a dialectical behavior therapy (DBT) program in a university-affiliated community mental health clinic. Diary cards were collected each week to track self-reported skills use. At the beginning of each new skills training module, patients completed another PAI-BOR. Univariate and multilevel analyses indicated significant improvement on the total PAI-BOR score and on several PAI-BOR subscale scores. Results also revealed that overall DBT skills use increased significantly over time, as did individual skills related to mindfulness, interpersonal effectiveness, emotion regulation, and distress tolerance. Multilevel modeling results indicated that overall skills use showed a significant effect on PAI-BOR total scores, Affective Instability scores, Identity Problems scores, and Negative Relationships scores, even after controlling for initial levels of distress and diary card compliance.

Analysis of affective instability in ecological momentary assessment: Indices using successive difference and group comparison via multilevel modeling.

Temporal instability of affect is a defining characteristic of psychological disorders such as borderline personality disorder (BPD) and mood cycling disorders. Ecological momentary assessment (EMA) enables researchers to directly assess such frequent and extreme fluctuations over time. The authors examined 4 operationalizations of such temporal instability: the within-person variance (WPV), the first-order autocorrelation, the mean square successive difference (MSSD), and the probability of acute change (PAC). It is argued that the MSSD and PAC measures are preferred indices of affective instability because they capture both variability and temporal dependency in a time series. Additionally, the performance of these 2 measures in capturing within- and between-day instability is discussed. To illustrate, the authors present EMA data from a study of negative mood in BPD and major depressive disorder patients. In this study, MSSD and PAC captured affective instability better than did WPV. Given that MSSD and PAC are individual difference measures, the authors propose that group differences on these indices be explored using generalized multilevel models. Versions of MSSD and PAC that adjust for randomly elapsed time interval between assessments are also presented.

Usefulness of the Clock Drawing Test as a Cognitive Screening Instrument for Mild Cognitive Impairment and Mild Dementia: an Evaluation Using Three Scoring Systems.

BACKGROUND AND PURPOSE: Although the clock drawing test (CDT) is a widely used cognitive screening instrument, there have been inconsistent findings regarding its utility with various scoring systems in patients with mild cognitive impairment (MCI) or dementia. The present study aimed to identify whether patients with MCI or dementia exhibited impairment on the CDT using three different scoring systems, and to determine which scoring system is more useful for detecting MCI and mild dementia. METHODS: Patients with amnestic mild cognitive impairment (aMCI), vascular mild cognitive impairment (VaMCI), mild Alzheimer's disease (AD), mild vascular dementia (VaD), and cognitively normal older adults (CN) were included. All participants were administered the CDT, the Korean-Mini Mental State Examination (K-MMSE), and the Clinical Dementia Rating scale. The CDT was scored using the 3-, 5-, and 15-point scoring systems. RESULTS: On all three scoring systems, all patient groups demonstrated significantly lower scores than the CN. However, while there were no significant differences among patients with aMCI, VaMCI, and AD, those with VaD exhibited the lowest scores. Area under the Receiver Operating Characteristic curves revealed that the three CDT scoring systems were comparable with the K-MMSE in differentiating aMCI, VaMCI, and VaD from CN. In differentiating AD from CN, however, the CDT using the 15-point scoring system demonstrated the most comparable discriminability with K-MMSE. CONCLUSIONS: The results demonstrated that the CDT is a useful cognitive screening tool that is comparable with the Mini-Mental State Examination, and that simple CDT scoring systems are sufficient for differentiating patients with MCI and mild dementia from CN.

Multilevel Models for Intensive Longitudinal Data with Heterogeneous Autoregressive Errors: The Effect of Misspecification and Correction with Cholesky Transformation.

Intensive longitudinal studies, such as ecological momentary assessment studies using electronic diaries, are gaining popularity across many areas of psychology. Multilevel models (MLMs) are most widely used analytical tools for intensive longitudinal data (ILD). Although ILD often have individually distinct patterns of serial correlation of measures over time, inferences of the fixed effects, and random components in MLMs are made under the assumption that all variance and autocovariance components are homogenous across individuals. In the present study, we introduced a multilevel model with Cholesky transformation to model ILD with individually heterogeneous covariance structure. In addition, the performance of the transformation method and the effects of misspecification of heterogeneous covariance structure were investigated through a Monte Carlo simulation. We found that, if individually heterogeneous covariances are incorrectly assumed as homogenous independent or homogenous autoregressive, MLMs produce highly biased estimates of the variance of random intercepts and the standard errors of the fixed intercept and the fixed effect of a level 2 covariate when the average autocorrelation is high. For intensive longitudinal data with individual specific residual covariance, the suggested transformation method showed lower bias in those estimates than the misspecified models when the number of repeated observations within individuals is 50 or more.

Measuring impulsivity in daily life: the momentary impulsivity scale.

Impulsivity is a core feature of many psychiatric disorders. Traditionally, impulsivity has been assessed using retrospective questionnaires or laboratory tasks. Both approaches neglect intraindividual variability in impulsivity and do not capture impulsivity as it occurs in real-world settings. The goal of the current study was to provide a method for assessing impulsivity in daily life that provides both between-individual and within-individual information. Participants with borderline personality disorder (BPD; n = 67) or a depressive disorder (DD; n = 38) carried an electronic diary for 28 days and responded to 9 impulsivity items up to 6 times per day. Item distributions and iterative exploratory factor analysis (EFA) results were examined to select the items that best captured momentary impulsivity. A brief 4-item scale was created that can be used for the assessment of momentary impulsivity. Model fit was good for both within- and between-individual EFA. As expected, the BPD group showed significantly higher scores on our Momentary Impulsivity Scale than the DD group, and the resulting scale was moderately correlated with common trait impulsivity scales.

The structure of Diagnostic and Statistical Manual of Mental Disorders (4th edition, text revision) personality disorder symptoms in a large national sample.

We examined the latent structure underlying the criteria for DSM-IV-TR (American Psychiatric Association, 2000, Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.) personality disorders in a large nationally representative sample of U.S. adults. Personality disorder symptom data were collected using a structured diagnostic interview from approximately 35,000 adults assessed over two waves of data collection in the National Epidemiologic Survey on Alcohol and Related Conditions. Our analyses suggested that a seven-factor solution provided the best fit for the data, and these factors were marked primarily by one or at most two personality disorder criteria sets. A series of regression analyses that used external validators tapping Axis I psychopathology, treatment for mental health problems, functioning scores, interpersonal conflict, and suicidal ideation and behavior provided support for the seven-factor solution. We discuss these findings in the context of previous studies that have examined the structure underlying the personality disorder criteria as well as the current proposals for DSM-5 personality disorders.

Affect and alcohol use: an ecological momentary assessment study of outpatients with borderline personality disorder.

Alcohol use may be viewed as an attempt (albeit maladaptive) to regulate negative emotional states. We examined associations between both negative and positive affects and alcohol use in outpatient women diagnosed with borderline personality disorder (BPD; n=74), a prototype of emotional dysregulation, as well as a psychiatric control group of women with current depressive disorder (major depressive disorder/dysthymic disorder [MDD\DYS]; n=50). Participants completed randomly prompted reports of mood and alcohol use up to six times a day over a 28-day period using electronic diaries. Mean levels of either positive or negative affects did not distinguish between drinkers and nondrinkers in either diagnostic group. However, levels of both negative and positive affects were positively associated with alcohol use at the momentary level in BPD drinkers. More robust findings were obtained with respect to within-person affective variability, which was related to alcohol use in multiple ways. BPD drinkers showed higher within-person variability for most negative affects than BPD nondrinkers; MDD\DYS drinkers in general showed less within-person variability than MDD\DYS nondrinkers for negative affects. Multilevel lagged analyses for BPD drinkers indicated that alcohol use was positively related to variability in all affects, concurrently, but fewer significant effects of affect variability on the next day's drinking or significant effects of alcohol use on the next day's affect variability were observed. Among MDD\DYS drinkers, we observed more significant associations between affect variability on next day's alcohol use and of alcohol use on next day's affect variability. We discuss theoretical and methodological issues relevant to these findings as well as implications for future research.

Distinguishing general and specific personality disorder features and implications for substance dependence comorbidity.

Clinical and population-based samples show high comorbidity between Substance Use Disorders (SUDs) and Axis II Personality Disorders (PDs). However, Axis II disorders are frequently comorbid with each other, and existing research has generally failed to distinguish the extent to which SUD/PD comorbidity is general or specific with respect to both specific types of PDs and specific types of SUDs. We sought to determine whether ostensibly specific comorbid substance dependence-Axis II diagnoses (e.g., alcohol use dependence and borderline personality disorder) are reflective of more pervasive or general personality pathology or whether the comorbidity is specific to individual PDs. Face-to-face interview data from Wave 1 and Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions were analyzed. Participants included 34,653 adults living in households in the United States. We used hierarchical factor models to statistically partition general and specific personality disorder dimensions while simultaneously testing for specific PD-substance dependence relations. Results indicated that substance dependence-Axis II comorbidity is characterized by general (pervasive) pathology and by Cluster B PD pathology over and above the relationship to the general PD factor. Further, these relations between PD factors and substance dependence diagnoses appeared to largely account for the comorbidity among substance dependence diagnoses in the younger but not older participants. Our findings suggest that a failure to consider the general PD factor, which we interpret as reflecting interpersonal dysfunction, can lead to potential mischaracterizations of the nature of certain PD and SUD comorbidities.

The subjective effects of alcohol-tobacco co-use: an ecological momentary assessment investigation.

Alcohol and tobacco use covary at multiple levels of analysis, and co-use of the 2 substances may have profound health consequences. To characterize the motivationally relevant processes contributing to co-use, the current study used ecological momentary assessment (EMA) to examine the subjective consequences of naturally occurring simultaneous use of alcohol and tobacco. Current smokers who reported frequently drinking alcohol (N=259) used electronic diaries to monitor their daily experiences for 21 days. Participants responded to prompted assessments and also initiated recordings when they smoked a cigarette or completed the first drink in a drinking episode. Momentary reports of smoking and alcohol consumption were associated with one another, and these effects remained after adjustment for occasion- and person-level covariates. When participants consumed alcohol, they reported increased pleasure and decreased punishment from the last cigarette. Smoking was associated with small increases in pleasure from the last drink. Ratings of buzzed and dizzy were synergistically affected by co-use of alcohol and tobacco. Co-use was also followed by higher levels of craving for both alcohol and tobacco. Results point to the importance of reward and incentive processes in ongoing drug use and suggest that alcohol intensifies real-time reports of the motivational consequences of smoking more strongly than smoking affects corresponding appraisals of alcohol effects.

Revised NESARC personality disorder diagnoses: gender, prevalence, and comorbidity with substance dependence disorders.

We applied different diagnostic rules for diagnosing personality disorders to the NESARC epidemiological study of over 40,000 individuals. Specifically, unlike previous NESARC publications, we required that each personality disorder criterion be associated with significant distress or impairment in order to be counted toward a personality disorder (PD) diagnosis. Results demonstrated significant reductions in prevalence rates for PDs (9.1% versus 21.5% using original NESARC algorithms), and these revised prevalence rates were much more consistent with recent epidemiological studies in the U.S. and Great Britain. We also found gender differences in the prevalence rate for most PDs. Comorbidity analyses revealed strong associations between PDs and alcohol dependence, drug dependence, and tobacco dependence. PD diagnoses were also associated with scores on dysfunction and impairment, perceived stress and less social support, lifetime history of suicide attempts, interpersonal difficulties, and problems with legal authorities.