Cognitive Dysfunction in Urban-Community Dwelling Prefrail Older Subjects
A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current st...
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| Published in | The Journal of nutrition, health & aging Vol. 22; no. 4; pp. 549 - 554 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Paris
Elsevier Masson SAS
01.04.2018
Springer Paris Springer Nature B.V |
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| Abstract | A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition
A cross-sectional study of the data obtained at registration in a randomized control trial.
Toyota, Japan.
Community-dwelling older subjects (male 54.6%) who had cognitive complaints.
A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance.
The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test.
The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. |
|---|---|
| AbstractList | A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition.OBJECTIVESA number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition.A cross-sectional study of the data obtained at registration in a randomized control trial.DESIGNA cross-sectional study of the data obtained at registration in a randomized control trial.Toyota, Japan.SETTINGToyota, Japan.Community-dwelling older subjects (male 54.6%) who had cognitive complaints.PARTICIPANTSCommunity-dwelling older subjects (male 54.6%) who had cognitive complaints.A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance.MEASUREMENTSA battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance.The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test.RESULTSThe study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test.The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains.CONCLUSIONThe current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. OBJECTIVES: A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition DESIGN: A cross-sectional study of the data obtained at registration in a randomized control trial. SETTING: Toyota, Japan. PARTICIPANTS: Community-dwelling older subjects (male 54.6%) who had cognitive complaints. MEASUREMENTS: A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance. RESULTS: The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test. CONCLUSION: The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. ObjectivesA number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognitionDesignA cross-sectional study of the data obtained at registration in a randomized control trial.SettingToyota, Japan.ParticipantsCommunity-dwelling older subjects (male 54.6%) who had cognitive complaints.MeasurementsA battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance.ResultsThe study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test.ConclusionThe current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition. A cross-sectional study of the data obtained at registration in a randomized control trial. Toyota, Japan. Community-dwelling older subjects (male 54.6%) who had cognitive complaints. A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance. The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test. The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. Objectives A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition Design A cross-sectional study of the data obtained at registration in a randomized control trial. Setting Toyota, Japan. Participants Community-dwelling older subjects (male 54.6%) who had cognitive complaints. Measurements A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance. Results The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test. Conclusion The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition A cross-sectional study of the data obtained at registration in a randomized control trial. Toyota, Japan. Community-dwelling older subjects (male 54.6%) who had cognitive complaints. A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance. The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test. The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains. |
| Author | Hayashi, T. Wu Cheng, X. Kuzuya, M. Shimada, H. Umegaki, Hiroyuki Makino, T. |
| Author_xml | – sequence: 1 givenname: Hiroyuki surname: Umegaki fullname: Umegaki, Hiroyuki email: umegaki@med.nagoya-u.ac.jp organization: Department of Community Healthcare & Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, 466-8550, Nagoya, Aichi, Japan – sequence: 2 givenname: T. surname: Makino fullname: Makino, T. organization: Institute of Innovation for Future Society, Nagoya University, Aichi, Japan – sequence: 3 givenname: H. surname: Shimada fullname: Shimada, H. organization: Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan – sequence: 4 givenname: T. surname: Hayashi fullname: Hayashi, T. organization: Institute of Innovation for Future Society, Nagoya University, Aichi, Japan – sequence: 5 givenname: X. surname: Wu Cheng fullname: Wu Cheng, X. organization: Institute of Innovation for Future Society, Nagoya University, Aichi, Japan – sequence: 6 givenname: M. surname: Kuzuya fullname: Kuzuya, M. organization: Department of Community Healthcare & Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, 466-8550, Nagoya, Aichi, Japan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29582896$$D View this record in MEDLINE/PubMed |
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| Snippet | A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or... Objectives A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive... ObjectivesA number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline... OBJECTIVES: A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive... |
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| SubjectTerms | Aged Aging cognition Cognitive ability Cognitive Dysfunction - epidemiology Cross-Sectional Studies Dementia depression Diabetes diabetes mellitus digit symbol substitution education elderly emotions Female Frail Elderly - statistics & numerical data Frailty gait Geriatric Assessment - methods Geriatrics/Gerontology Humans Japan logit analysis Male males Medicine Medicine & Public Health memory Mental depression Neuropsychological assessments Neurosciences Nutrition Older people physical activity Population Primary Care Medicine processing speed Quality of Life Research risk Urban Population weight loss |
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| Title | Cognitive Dysfunction in Urban-Community Dwelling Prefrail Older Subjects |
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