Cross-cultural study of caregiver burden for Alzheimer's disease in Japan and Taiwan: result from Dementia Research in Kumamoto and Tainan (DeReKaT)

2016 ◽  
Vol 28 (7) ◽  
pp. 1125-1132 ◽  
Author(s):  
Masateru Matsushita ◽  
Ming-Chyi Pai ◽  
Cai-Ying Jhou ◽  
Asuka Koyama ◽  
Manabu Ikeda
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Measurement Invariance ◽  
Caregiver Burden ◽  
Structural Equation ◽  
Equation Modeling ◽  
Latent Factor ◽  
Multiple Group ◽  
Dementia Research

ABSTRACTBackground:Caregiver burden (CB) of Alzheimer's disease (AD) in Taiwan is becoming an urgent social issue as well as that in Japan. The comparison of CB may explain how caregiver feels burden in each country.Methods:The participants were 343 outpatients with AD and their caregivers of Japan (n= 230) and Taiwan (n= 113). We assessed the CB using the Japanese and Chinese version of Zarit Caregiver Burden Interview (ZBI). The initial analysis was an exploratory factor analysis for each group to confirm the factor structure of ZBI. Then, the multiple-group structural equation modeling (MG-SEM) was used to assess the measurement invariance of ZBI such as configural, metric, and scalar invariances. Lastly, we compared the latent factor means of the ZBI between Japan and Taiwan.Results:In both groups, the confirmatory factor analysis extracted 3 factors which were labeled “Impact on caregiver's life”, “Embarrassed/anger”, and “Dependency”. The MG-SEM indicated an acceptable model fit, and established the partial scalar measurement invariance (comparative fit index (CFI) = 0.901, root mean square error of approximation (RMSEA) = 0.066). When we compared the latent factor means, the score of “Impact on caregiver's life” in Taiwanese caregivers was significantly higher than that in Japanese (p= 0.001). However, “Dependency” in Taiwanese caregivers was lower than that in Japanese (p< 0.001).Conclusions:Partial measurement invariance allowed comparing the latent factor mean across two countries. The results of comparisons suggested that there may be differences in the way of feeling CB between Japan and Taiwan.

An Informant Questionnaire for Detecting Alzheimer's Disease: Are Some Items Better Than Others?

2011 ◽  
Vol 17 (4) ◽  
pp. 674-681 ◽  
Author(s):  
Sietske A.M. Sikkes ◽  
Dirk L. Knol ◽  
Mark T. van den Berg ◽  
Elly S.M. de Lange-de Klerk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation ◽  
Structural Model ◽  
The Elderly ◽  
Equation Modeling ◽  
Or Education ◽  
Healthy Elderly ◽  
Patient Groups ◽  
Better Than

AbstractA decline in everyday cognitive functioning is important for diagnosing dementia. Informant questionnaires, such as the informant questionnaire on cognitive decline in the elderly (IQCODE), are used to measure this. Previously, conflicting results on the IQCODEs ability to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI), and cognitively healthy elderly were found. We aim to investigate whether specific groups of items are more useful than others in discriminating between these patient groups. Informants of 180 AD, 59 MCI, and 89 patients with subjective memory complaints (SMC) completed the IQCODE. To investigate the grouping of questionnaire items, we used a two-dimensional graded response model (GRM).The association between IQCODE, age, gender, education, and diagnosis was modeled using structural equation modeling. The GRM with two groups of items fitted better than the unidimensional model. However, the high correlation between the dimensions (r=.90) suggested unidimensionality. The structural model showed that the IQCODE was able to differentiate between all patient groups. The IQCODE can be considered as unidimensional and as a useful addition to diagnostic screening in a memory clinic setting, as it was able to distinguish between AD, MCI, and SMC and was not influenced by gender or education. (JINS, 2011, 17, 674–681)

scholarly journals Specific Association Between Religiosity and Cognitive Functions in Alzheimer’s Disease

2019 ◽  
Vol 34 (4) ◽  
pp. 254-260
Author(s):  
JaeHoon Jung ◽  
Chang Hyun Lee ◽  
Kitack Shin ◽  
Daeyoung Roh ◽  
Sang-Kyu Lee ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Correlation Analysis ◽  
Cognitive Functions ◽  
Structural Equation ◽  
Partial Correlation ◽  
Equation Modeling ◽  
Religious Activity ◽  
Partial Correlation Analysis ◽  
With Memory

Objectives: This study aimed to identify the specific relationship between subdomains of religious variables and cognitive functions in outpatients with Alzheimer’s disease (AD). Methods: We recruited 325 patients with AD from a psychiatry outpatient clinic. The Korean version of the Consortium to Establish a Registry for Alzheimer’s Disease and the Duke University Religion Index were used to assess cognitive functions and religiosity. We performed structural equation modeling and partial correlation analysis after controlling for demographic data. Results: The model in which religiosity beneficially affects cognitive functions showed acceptable model fit (root-mean-square error of approximation = 0.076, Tucker-Lewis index = 0.921, comparative fit index = 0.947). In the partial correlation analysis, organizational religious activity demonstrated positive relationships with memory ( r = 0.144, P = .010), language ( r = 0.149, P = .007), and constructional ability ( r = 0.191 P = .001). Nonorganizational religious activity and intrinsic religiosity were positively associated with memory ( r = 0.115, P = .040; r = 0.140, P = .012) and constructional ability ( r = 0.207, P = .000; r = 0.136, P = .015). Conclusions: The findings suggest that religiosity positively affects cognitive functions and that each religious variable is related differently to the subdomains of cognitive functions in patients with AD.

scholarly journals Latent Factor Structure and Measurement Invariance of the NIH Toolbox Cognition Battery in an Alzheimer’s Disease Research Sample

2020 ◽  
pp. 1-14
Author(s):  
Yue Ma ◽  
Cynthia M. Carlsson ◽  
Michelle L. Wahoske ◽  
Hanna M. Blazel ◽  
Richard J. Chappell ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Factor Analysis ◽  
Executive Function ◽  
Measurement Invariance ◽  
Clinical Diagnosis ◽  
Factor Structure ◽  
Processing Speed ◽  
Factor Model ◽  
Latent Factor ◽  
Race Ethnicity

Abstract Objective: This study investigated the latent factor structure of the NIH Toolbox Cognition Battery (NIHTB-CB) and its measurement invariance across clinical diagnosis and key demographic variables including sex, race/ethnicity, age, and education for a typical Alzheimer’s disease (AD) research sample. Method: The NIHTB-CB iPad English version, consisting of 7 tests, was administered to 411 participants aged 45–94 with clinical diagnosis of cognitively unimpaired, dementia, mild cognitive impairment (MCI), or impaired not MCI. The factor structure of the whole sample was first examined with exploratory factor analysis (EFA) and further refined using confirmatory factor analysis (CFA). Two groups were classified for each variable (diagnosis or demographic factors). The confirmed factor model was next tested for each group with CFA. If the factor structure was the same between the groups, measurement invariance was then tested using a hierarchical series of nested two-group CFA models. Results: A two-factor model capturing fluid cognition (executive function, processing speed, and memory) versus crystalized cognition (language) fit well for the whole sample and each group except for those with age < 65. This model generally had measurement invariance across sex, race/ethnicity, and education, and partial invariance across diagnosis. For individuals with age < 65, the language factor remained intact while the fluid cognition was separated into two factors: (1) executive function/processing speed and (2) memory. Conclusions: The findings mostly supported the utility of the battery in AD research, yet revealed challenges in measuring memory for AD participants and longitudinal change in fluid cognition.

P2-480: LATENT FACTOR STRUCTURE AND MEASUREMENT INVARIANCE OF THE NIH TOOLBOX COGNITION BATTERY IN A SAMPLE FROM THE WISCONSIN ALZHEIMER'S DISEASE RESEARCH CENTER

2006 ◽  
Vol 14 (7S_Part_16) ◽  
pp. P909-P911
Author(s):  
Yue Ma ◽  
Richard J. Chappell ◽  
Lindsay R. Clark ◽  
Michelle L. Wahoske ◽  
Sterling C. Johnson ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Research Center ◽  
Latent Factor ◽  
Disease Research

The benefits of latent variable modeling to develop norms for a translated version of a standardized scale

2016 ◽  
Vol 41 (6) ◽  
pp. 743-750 ◽  
Author(s):  
Hyojeong Seo ◽  
Leslie A. Shaw ◽  
Karrie A. Shogren ◽  
Kyle M. Lang ◽  
Todd D. Little
Keyword(s):  
Measurement Invariance ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Model Parameters ◽  
Confirmatory Factor Analyses ◽  
Standardization Sample ◽  
Multiple Group ◽  
The Us ◽  
Latent Means

This article demonstrates the use of structural equation modeling to develop norms for a translated version of a standardized scale, the Supports Intensity Scale – Children’s Version (SIS-C). The latent variable norming method proposed is useful when the standardization sample for a translated version is relatively small to derive norms independently but the original standardization sample is larger and more robust. Specifically, we leveraged a large, representative US standardization sample ( n = 4,015) to add power and stability to a smaller Spanish ( n = 405) standardization sample. Using a series of multiple-group mean and covariance structures confirmatory factor analyses using effects-coded scaling constraints, measurement invariance was tested across (a) Spanish only and (b) both US and Spanish age bands (5–6, 7–8, 9–10, 11–12, 13–14, and 15–16). After establishing measurement invariance across the US and Spain, tests for latent means and variance differences within age-bands were only performed for Spanish data; the latent means and variances in the US sample were freely estimated. The study findings suggest that the information in the US data stabilized the overall model parameters, and the inclusion of the US sample did not influence on the norms of the SIS-C Spanish Translation.

scholarly journals Neuropsychiatric Symptoms Mediated the Relationship Between Odor Identification and Cognition in Alzheimer's Disease Spectrum: A Structural Equation Model Analysis

2022 ◽  
Vol 13 ◽  
Author(s):  
Qiang Wang ◽  
Ben Chen ◽  
Xiaomei Zhong ◽  
Huarong Zhou ◽  
Min Zhang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Decline ◽  
Structural Equation ◽  
Neuropsychiatric Symptoms ◽  
Odor Identification ◽  
Equation Modeling ◽  
Neuropsychiatric Inventory ◽  
Visual Spatial ◽  
The Relationship

Background: Odor identification dysfunction is an early predictor of the development of Alzheimer's disease (AD), but neuropsychiatric symptoms (NPS), which are common in AD and mild cognitive impairment (MCI), are also associated with odor identification dysfunction. Whether NPS affect the specificity of using odor identification dysfunction to predict cognitive decline in AD and MCI remains unclear.Methods: Patients (233 with MCI and 45 with AD) and 45 healthy controls (HCs) underwent assessments of odor identification (Sniffin' Sticks), NPS (Neuropsychiatric Inventory-12), and cognitive function (global cognition, memory, language, executive function, visual-spatial skill, and attention). Structural equation modeling (SEM) with bootstrapping estimation was conducted to explore the relationships between odor identification, NPS, and cognition.Results: Patients with NPS showed significantly worse performance in odor identification and cognition than patients without NPS and HCs. The SEM showed odor identification to be positively associated with cognition, and cognition had special indirect effects on odor identification through affective and psychosis symptoms (two factors extracted from Neuropsychiatric Inventory-12). Additionally, affective and psychosis symptoms partially mediated the effect of cognition on odor identification.Conclusion: Neuropsychiatric symptoms are associated with odor identification dysfunction in patients with AD and MCI. Studies exploring the relationship between odor identification dysfunction and cognitive decline in patients with AD and MCI should include an assessment of affective and psychosis symptoms, and adjust their confounding effects.

Using structural equation modeling to detect response shift in quality of life in patients with Alzheimer's disease

2018 ◽  
Vol 31 (1) ◽  
pp. 123-132
Author(s):  
Xuxia Wang ◽  
Xiaomeng Xu ◽  
Hongjuan Han ◽  
Runlian He ◽  
Liye Zhou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Short Form ◽  
Bodily Pain ◽  
Equation Modeling

ABSTRACTBackground:Our study aims to detect different types of response shifts (RS) and true changes of quality of life (QOL) measurement in patients with Alzheimer's disease (AD) using structural equation modeling (SEM) in domain level.Methods:Patients with AD aged over 60 years old were collected from the Department of Neurology and Geriatrics in Taiyuan Central Hospital, China. The 12-item Short Form (SF-12) Health Survey was measured in 238 patients with AD prior to hospitalization and one month following discharge. RS was detected by SEM approach. The statistical process consisted of four steps and fitted four models. We interpreted changes of parameters in models to detect RS and to assess true change.Results:The results showed reprioritization of social functioning (SF) (χ2 = 4.13, p < 0.05), reconceptualization of role limitations due to emotional problems (RE) (χ2 = 17.03, p < 0.001), uniform recalibration of bodily pain (BP) (χ2 = 12.24, p < 0.001), and non-uniform recalibration of mental health (MH) (χ2 = 4.41, p < 0.05), respectively. The true changes of common factors were deteriorated in general physical health (PHYS) (−0.10, χ2 = 8.30, p < 0.005) and improved in general mental health (MENT) (+0.29, χ2 = 20.95, p < 0.001). The effect-sizes of RS were only small.Conclusion:This study showed that patients with AD occurred three types of RS and true changes one month following discharge. RS had effects on the QOL of patients. Better understanding of potential changes in QOL in patients with AD is crucial.

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