Latent Factor Structure of Outcome Measures Used in the HABIT® Mild Cognitive Impairment Intervention Programs

2021 ◽  
pp. 1-13
Author(s):  
Brittany DeFeis ◽  
Gelan Ying ◽  
Andrea M. Kurasz ◽  
Liselotte De Wit ◽  
Priscilla Amofa ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Outcome Measures ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Post Intervention ◽  
Latent Factor ◽  
Confirmatory Factor Analyses ◽  
Stable Factor

Background: In Alzheimer’s disease and related disorders (ADRD) research, common outcome measures include cognitive and functional impairment, as well as persons with mild cognitive impairment (pwMCI) and care partner self-reported mood and quality of life. Studies commonly analyze these measures separately, which potentially leads to issues of multiple comparisons and/or multicollinearity among measures while ignoring the latent constructs they may be measuring. Objective: This study sought to examine the latent factor structure of a battery of 12-13 measures of domains mentioned above, used in a multicomponent behavioral intervention (The HABIT® program) for pwMCI and their partners. Methods: Exploratory factor analysis (EFA) involved 214 pwMCI-partner pairs. Subsequent Confirmatory factor analyses (CFA) used 730 pairs in both pre- and post-intervention conditions. Results: EFA generated a three-factor model. Factors could be characterized as partner adjustment (29.9%), pwMCI adjustment (18.1%), and pwMCI impairment (12.8%). The subsequent CFA confirmed our findings, and the goodness-of-fit for this model was adequate in both the pre- (CFI = 0.937; RMSEA = 0.057, p = 0.089) and post-intervention (CFI = 0.942; RMSEA = 0.051, p = 0.430) groups. Conclusion: Results demonstrated a stable factor structure across cohorts and intervention conditions suggesting that three broad factors may provide a straightforward and meaningful model to assess intervention outcome, at least during the MCI phase of ADRD.

Contributions of the Computer-Administered Neuropsychological Screen for Mild Cognitive Impairment (CANS-MCI) for the diagnosis of MCI in Brazil

2014 ◽  
Vol 26 (9) ◽  
pp. 1483-1491 ◽  
Author(s):  
Cláudia M. Memória ◽  
Mônica S. Yassuda ◽  
Eduardo Y. Nakano ◽  
Orestes V. Forlenza
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Goodness Of Fit ◽  
Formal Education ◽  
Factor Model ◽  
Characteristic Curve ◽  
Reliability And Validity ◽  
Cognitive Status ◽  
Cognitive Screening ◽  
Extensive Evaluation

ABSTRACTBackground:The Computer-Administered Neuropsychological Screen for Mild Cognitive Impairment (CANS-MCI) is a computer-based cognitive screening instrument that involves automated administration and scoring and immediate analyses of test sessions. The objective of this study was to translate and culturally adapt the Brazilian Portuguese version of the CANS-MCI (CANS-MCI-BR) and to evaluate its reliability and validity for the diagnostic screening of MCI and dementia due to Alzheimer's disease.Methods:The test was administered to 97 older adults (mean age 73.41 ± 5.27 years) with at least four years of formal education (mean education 12.23 ± 4.48 years). Participants were classified into three diagnostic groups according to global cognitive status (normal controls, n = 41; MCI, n = 35; AD, n = 21) based on clinical data and formal neuropsychological assessments.Results:The results indicated high internal consistency (Cronbach's α = 0.77) in the total sample. Three-month test-retest reliability correlations were significant and robust (0.875; p < 0.001). A moderate level of concurrent validity was attained relative to the screening test for MCI (MoCA test, r = 0.76, p < 0.001). Confirmatory factor analysis supported the three-factor model of the original test, i.e., memory, language/spatial fluency, and executive function/mental control. Goodness of fit indicators were strong (Bentler Comparative Fit Index = 0.96, Root Mean Square Error of Approximation = 0.09). Receiver operating characteristic curve analyses suggested high sensitivity and specificity (81% and 73% respectively) to screen for possible MCI cases.Conclusions:The CANS-MCI-BR maintains adequate psychometric characteristics that render it suitable to identify elderly adults with probable cognitive impairment to whom a more extensive evaluation by formal neuropsychological tests may be required.

scholarly journals Psychometric properties of the geriatric quality of life-dementia in older adults with dementia or mild cognitive impairment living in nursing homes

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Eun-Young Park ◽  
Seon-Min Park ◽  
Jung-Hee Kim
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Nursing Homes ◽  
Factor Structure ◽  
Factor Model ◽  
Dementia Patients ◽  
People With Dementia

Abstract Background Given the theoretical and methodological limitations, there is insufficient knowledge about the psychometric properties and internal structure of quality of life (QOL) measurements for patients with dementia living in nursing homes. The present study aimed to confirm the validity and reliability of the Geriatric Quality of Life-Dementia scale (GQOL-D) to measure the QOL of patients with dementia in nursing homes and analyze their QOL based on the validated GQOL-D factor structure. Methods The GQOL-D was used to assess QOL. A convenience sampling method was used to recruit patients with dementia or mild cognitive impairment from six nursing homes in two cities. In order to confirm the validity and factor structure of the scale, both exploratory factor analysis and confirmatory factor analysis were employed. An independent t-test and a one-way analysis of variance were performed to examine the difference in the QOL across general characteristics. Results The original factor model was not appropriate to assess the QOL of dementia patients living in nursing homes because the models did not show adequate fit indices. The results support a two-factor structure: environmental and personal factors. Our findings suggest that the internal consistency and construct validity of the proposed two-factor model are adequate, and the GQOL-D is a useful tool for assessing the QOL of dementia patients living in nursing homes. Conclusions This factor structure model of environmental and personal aspects is a useful theoretical framework for designing and evaluating interventions for people with dementia and providing integrated person-centered care for people with dementia in nursing homes.

scholarly journals Donepezil for mild cognitive impairment in Parkinson’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyoungwon Baik ◽  
Seon Myeong Kim ◽  
Jin Ho Jung ◽  
Yang Hyun Lee ◽  
Seok Jong Chung ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Treatment Group ◽  
Outcome Measures ◽  
Rating Scale ◽  
Secondary Outcome ◽  
Control Group ◽  
Significant Difference

AbstractWe investigated the efficacy of donepezil for mild cognitive impairment in Parkinson’s disease (PD-MCI). This was a prospective, non-randomized, open-label, two-arm study. Eighty PD-MCI patients were assigned to either a treatment or control group. The treatment group received donepezil for 48 weeks. The primary outcome measures were the Korean version of Mini-Mental State Exam and Montreal Cognitive Assessment scores. Secondary outcome measures were the Clinical Dementia Rating, Unified Parkinson’s Disease Rating Scale part III, Clinical Global Impression scores. Progression of dementia was assessed at 48-week. Comprehensive neuropsychological tests and electroencephalography (EEG) were performed at baseline and after 48 weeks. The spectral power ratio of the theta to beta2 band (TB2R) in the electroencephalogram was analyzed. There was no significant difference in the primary and secondary outcome measures between the two groups. However, the treatment group showed a significant decrease in TB2R at bilateral frontotemporoparietal channels compared to the control group. Although we could not demonstrate improvements in the cognitive functions, donepezil treatment had a modulatory effect on the EEG in PD-MCI patients. EEG might be a sensitive biomarker for detecting changes in PD-MCI after donepezil treatment.

A Systematic Review of Mindfulness-Based Interventions for Patients with Mild Cognitive Impairment or Dementia and Caregivers

2020 ◽  
pp. 089198872095710 ◽  
Author(s):  
Minjung Shim ◽  
Jacqueline L. Tilley ◽  
Sungjin Im ◽  
Kevin Price ◽  
Adam Gonzalez
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Functioning ◽  
Outcome Measures ◽  
Treatment Effects ◽  
Large Range ◽  
Post Treatment ◽  
Current Evidence ◽  
Long Term Follow Up ◽  
Study Methodology

The aim of this article was to systematically review the quality and efficacy of the current evidence for mindfulness-based interventions (MBIs) in patients with mild cognitive impairment (MCI), patients with dementia (PwD), and their caregivers. We identified 20 randomized controlled trials (RCTs) (11 for patients, 9 for caregivers) published in the last 15 years. Evidence suggested that MBIs are highly acceptable and credible treatments for patients with MCI, PwD and caregivers. Specifically, for PwD, the results indicated that the magnitude of post-treatment effects of MBIs are in the medium to large range for psychosocial outcomes, and in the small to medium range for cognitive functioning; however, treatment effects on dementia biomarkers were mixed, ranging from small to large, depending on the outcome measure. Findings also evidenced salutary effects of MBIs for caregivers of PwD, with post-treatment effects ranging from medium to large for caregiver stress and burden and large effects for quality of life, and mixed outcomes for cognitive functioning, with effects in the small to large range. However, confidence in these findings is relatively limited due to methodological limitations, especially in terms of poor consistency in intervention strategies, outcome measures, and other key criteria across studies. To better assess the value of MBIs for these populations and optimize treatment outcomes, we recommend further research with improved study methodology (e.g., multi-method assessment, universal criterion and outcome measures, use of active control groups, larger sample sizes, long-term follow-up) to replicate current findings and enhance our understanding of underlying treatment mechanisms of MBIs.

scholarly journals Anxiety Assessment: Psychometric Properties of the Spanish Version of the Burns Anxiety Inventory

2015 ◽  
Vol 18 ◽  
Author(s):  
Javier Ortuño-Sierra ◽  
Lorena Rodríguez ◽  
Martin Debbané ◽  
Eduardo Fonseca-Pedrero
Keyword(s):  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Spanish Version ◽  
Control Group ◽  
Clinical Group ◽  
Fit Indices ◽  
Confirmatory Factor Analyses ◽  
And Control ◽  
Three Factor

AbstractThe main purpose of this study was to analyze the psychometric properties of the Spanish version of the Burns Anxiety Inventory (Burns-A: Burns, 1993). The sample consisted of 417 participants, 387 (29.71% male) healthy participants (control group: M = 35.5 years; SD = 8.40) and 30 (36.66% female) patients (clinical group: M = 35.8 years; SD = 12.94). The internal consistency evaluated through Cronbach’ Alpha was 0.95 for the Total Score in both subsamples. The test-retest reliability (two weeks) for Total Score was 0.86 (F = 13.2, p ≤ .001) for the non-clinical subsample, and 0.95 (F = 36.5, p ≤ .001) for the clinical subsample. Confirmatory factor analyses supported the initial three-factor model. However, modifications to the initial three-factor model improved the goodness-of-fit indices. Results showed statistically significant differences in the mean scores of the Burns-A between the clinical and control groups. This study supports the Spanish version of the Burns-A as a brief and useful tool for the screening of anxiety symptoms in adult populations. Future studies should investigate measurement invariance across cultures.

The Covert and Overt Reassurance Seeking Inventory (CORSI): Development, validation and psychometric analyses

2020 ◽  
pp. 1-18
Author(s):  
Adam S. Radomsky ◽  
Rachael L. Neal ◽  
Chris L. Parrish ◽  
Stefanie L. Lavoie ◽  
Sarah E. Schell
Keyword(s):  
Goodness Of Fit ◽  
Factor Model ◽  
Five Factor Model ◽  
Oblique Rotation ◽  
Confirmatory Factor Analyses ◽  
Reassurance Seeking ◽  
Compulsive Disorder ◽  
Psychometric Analyses ◽  
Strong Measure ◽  
Fit Index

Abstract Background: Reassurance seeking (RS) is motivated by perceived general and social/relational threats across disorders, yet is often under-recognized because it occurs in covert (i.e. subtle) and overt forms. Covert safety-seeking behaviour may maintain disorders by preventing corrective learning and is therefore important to identify effectively. Aims: This study presents the validation and psychometric analyses of a novel measure of covert and overt, general and social/relational threat-related interpersonal RS. Method: An initial 30-item measure was administered to an undergraduate sample (N = 1626), as well as to samples of individuals diagnosed with obsessive compulsive disorder (OCD; n = 50), anxiety disorders (n = 60) and depression (n = 30). The data were subjected to exploratory and confirmatory factor analyses, and validation analyses. Results: An exploratory factor analysis using principal axis factoring with oblique rotation yielded five interpretable factors, after removing four complex items. The resulting 26-item measure, the Covert and Overt Reassurance Seeking Inventory (CORSI), evidenced good convergent and divergent validity and accounted for 54.99% of the total variance after extraction. Factor correlations ranged from r = .268 to .736, suggesting that they may be tapping into unique facets of RS behaviour. In comparison with undergraduate participants, all clinical groups had significantly higher total scores [t (51.80–840) = 3.92–5.84, p < .001]. The CFA confirmed the five-factor model with good fit following the addition of four covariance terms (goodness of fit index = .897, comparative fit index = .918, Tucker–Lewis index = .907, root mean square error approximation = .061). Conclusion: The CORSI is a brief, yet comprehensive and psychometrically strong measure of problematic RS. With further validation, the CORSI has potential for use within clinical and research contexts.

The Factor Structure of Social Cognition in Schizophrenia: A Focus on Replication With Confirmatory Factor Analysis and Machine Learning

2020 ◽  
pp. 216770262095152
Author(s):  
Philipp Riedel ◽  
William P. Horan ◽  
Junghee Lee ◽  
Gerhard S. Hellemann ◽  
Michael F. Green
Keyword(s):  
Machine Learning ◽  
Social Cognition ◽  
Factor Structure ◽  
Social Cognitive ◽  
Linear Models ◽  
Factor Model ◽  
Confirmatory Factor Analyses ◽  
Attributional Bias ◽  
Confirmatory Factor ◽  
High Level

Social cognition has become a major focus in psychosis research aimed at explaining heterogeneity in functional outcome and developing interventions oriented to functional recovery. However, there is still no consensus on the structure of social cognition in psychosis, and research in this area has been plagued by lack of replication. Our first goal was to replicate the factor structure of social cognition using nearly identical tasks in independent samples. Our second goal was to externally validate the factors as they relate to nonsocial cognition and various symptoms in the prediction of functioning using machine learning. Confirmatory factor analyses validated a three-factor model for social cognition in psychosis (low-level, high-level, attributional bias factor). A least absolute shrinkage and selection operator regression and cross-validation provided evidence for external validity of data-driven linear models including the social-cognitive factors, nonsocial cognition, and symptoms. We addressed the replicability problems that have impeded research in this area, and our results will guide future psychosis studies.

scholarly journals Factor Structure and Gender Invariance Testing for the Sport Anxiety Scale-2 (SAS-2)

2018 ◽  
Vol 12 (2) ◽  
pp. 201-217
Author(s):  
Leilani A. Madrigal ◽  
Vincenzo Roma ◽  
Todd Caze ◽  
Arthur Maerlender ◽  
Debra Hope
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Online Survey ◽  
Factor Model ◽  
Anxiety Scale ◽  
Negative Evaluation ◽  
Psychometric Validation ◽  
Confirmatory Factor Analyses ◽  
Analysis Group ◽  
Confirmatory Factor

This study aimed to provide further psychometric validation of the Sport Anxiety Scale-2 (SAS-2) by assessing the factor structure, invariance across gender, and convergent and divergent validity of the SAS-2 by correlating both related (i.e., anxiety sensitivity, brief fear of negative evaluation, intolerance of uncertainty, and negative affect) and unrelated constructs (i.e., positive affect, self-confidence). A total of 542 current and former competitive athletes completed a questionnaire through Amazon’s Mechanical Turk system. All data were collected via online survey. Participants were randomly assigned to an exploratory factor analysis (n = 271) and confirmatory factor analysis group (n = 271). Results indicated that both exploratory and confirmatory factor analyses supported the three-factor model of anxiety involving somatic anxiety, worry, and concentration disruption. Additionally, this study found the SAS-2 to be reliable, gender invariant, and have strong construct validity. Our findings extend the generalizability of the SAS-2 in more varied populations of athletic backgrounds.

The Factor Structure of the Aggression Questionnaire With Violent Offenders

2017 ◽  
Vol 62 (7) ◽  
pp. 1888-1905 ◽  
Author(s):  
Cathrine Pettersen ◽  
Kevin L. Nunes ◽  
Franca Cortoni
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Short Form ◽  
Violent Offenders ◽  
Self Report ◽  
Violent Offender ◽  
Careful Examination ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Aggression Questionnaire

The Buss-Perry Aggression Questionnaire (AQ) is a self-report measure of aggressiveness commonly employed in nonforensic and forensic settings and is included in violent offender pre- and posttreatment assessment batteries. The aim of the current study was to assess the fit of the four-factor model of the AQ with violent offenders ( N = 271), a population for which the factor structure of the English version of the AQ has not previously been examined. Confirmatory factor analyses did not yield support for the four-factor model of the original 29-item AQ. Acceptable fit was obtained with the 12-item short form, but careful examination of the relationships between the latent factors revealed that the four subscales of the AQ may not represent distinct aspects of aggressiveness. Our findings call into question whether the AQ optimally measures trait aggressiveness among violent offenders.

The Pictorial Scale of Perceived Movement Skill Competence: Determining Content and Construct Validity for Brazilian Children

2018 ◽  
Vol 6 (s2) ◽  
pp. S189-S204 ◽  
Author(s):  
Nadia C. Valentini ◽  
Lisa M. Barnett ◽  
Paulo Felipe Ribeiro Bandeira ◽  
Glauber Carvalho Nobre ◽  
Larissa Wagner Zanella ◽  
...  
Keyword(s):  
Goodness Of Fit ◽  
Factor Model ◽  
Information Criterion ◽  
Validity And Reliability ◽  
Confirmatory Factor Analyses ◽  
Reliable Assessment ◽  
Health Related ◽  
Fit Indexes ◽  
Fit Index ◽  
Brazilian Children

The pictorial scale of Perceived Movement Skill Competence (PMSC) was developed to assess young children’s perceptions of competence in fundamental motor skills (FMS) and in active play (AP). The objectives of the present study were to assess validity and reliability with Brazilian children. Nineteen health-related professionals and 331 children (4 to 8 years old) were enrolled in the study. Kappa concordance coefficient, intra-class correlation coefficient (ICC), polychoric correlations, and confirmatory factor analyses (CFA) were used. The back-reverse translation prevents the bias of a single translation. Experts and professionals confirmed the clarity and pertinence of the items with high agreement scores (values > .90). Test-retest reliability results showed strong ICC (values > .90). The Cronbach’s alpha coefficient showed good internal consistency (α values from .70–.85). The CFA showed appropriate fit indexes for a three-factor model (i.e., six object control, six locomotion, and six AP items) and a two-factor model (i.e., 12 FMS and six AP items). However, the two-factor model showed superior indexes (χ2/df = 3.1; Root Mean Square Error of Approximation = .06; Goodness-Of-Fit Index = .90; Comparative Fit Index = .91; Akaike Information Criterion = 485.8). The PMSC is a valid and reliable assessment to use in Brazil.

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