Analysis of causal relationships by structural equation modeling to determine the factors influencing cognitive function in elderly people in Japan

The purpose of this study is to identify a potentiality factor that is a preventive factor for decline in cognitive function. Additionally, this study pursues to clarify the causal relationship between the each potential factor and its influence on cognitive function. Subjects were 366 elderly commu...

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Published in:PloS one 2015-02, Vol.10 (2), p.e0117554-e0117554
Main Authors: Kimura, Daisuke, Nakatani, Ken, Takeda, Tokunori, Fujita, Takashi, Sunahara, Nobuyuki, Inoue, Katsumi, Notoya, Masako
Format: Article
Language:English
Subjects:
Activities of Daily Living
Age
Aged
Aged, 80 and over
Analysis
Cognition & reasoning
Cognition - physiology
Cognitive ability
Correlation coefficient
Correlation coefficients
Dementia
Dementia - prevention & control
Dementia disorders
Exercise
Factor analysis
Factor Analysis, Statistical
Female
Geriatrics
Gerontology
Health care
Health sciences
Health Status
Humans
Hypotheses
Influence
Intervention
Japan
Male
Mathematical models
Modelling
Models, Theoretical
Multivariate analysis
Occupational therapy
Older people
Participation
Pharmaceuticals
Physical fitness
Population
Prevention
Rehabilitation
Standardization
Structural equation modeling
Studies
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cited_by cdi_FETCH-LOGICAL-c885t-8e8dbe138f0716a32b2790a4ffe7addc104ffc0d1ee18dca15127dacdfe468c3
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creator Kimura, Daisuke
Nakatani, Ken
Takeda, Tokunori
Fujita, Takashi
Sunahara, Nobuyuki
Inoue, Katsumi
Notoya, Masako
description The purpose of this study is to identify a potentiality factor that is a preventive factor for decline in cognitive function. Additionally, this study pursues to clarify the causal relationship between the each potential factor and its influence on cognitive function. Subjects were 366 elderly community residents (mean age 73.7 ± 6.4, male 51, female 315) who participated in the Taketoyo Project from 2007 to 2011. Factor analysis was conducted to identify groupings within mental, social, life, physical and cognitive functions. In order to detect clusters of 14 variables, the item scores were subjected to confirmatory factor analysis. We performed Structural Equation Modeling analysis to calculate the standardization coefficient and correlation coefficient for every factor. The cause and effect hypothesis model was used to gather two intervention theory hypotheses for dementia prevention (direct effect, indirect effect) in one system. Finally, we performed another Structural Equation Modeling analysis to calculate the standardization of the cause and effect hypothesis model. Social participation was found to be activated by the improvement of four factors, and in turn, activated "Social participation" acted on cognitive function.
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subjects Activities of Daily Living
Age
Aged
Aged, 80 and over
Analysis
Cognition & reasoning
Cognition - physiology
Cognitive ability
Correlation coefficient
Correlation coefficients
Dementia
Dementia - prevention & control
Dementia disorders
Exercise
Factor analysis
Factor Analysis, Statistical
Female
Geriatrics
Gerontology
Health care
Health sciences
Health Status
Humans
Hypotheses
Influence
Intervention
Japan
Male
Mathematical models
Modelling
Models, Theoretical
Multivariate analysis
Occupational therapy
Older people
Participation
Pharmaceuticals
Physical fitness
Population
Prevention
Rehabilitation
Standardization
Structural equation modeling
Studies
title Analysis of causal relationships by structural equation modeling to determine the factors influencing cognitive function in elderly people in Japan
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