Literature DB >> 29644921

Cognitive Frailty and Its Association with All-Cause Mortality Among Community-Dwelling Older Adults in Taiwan: Results from I-Lan Longitudinal Aging Study.

Li-Kuo Liu1,2,3, Chia-Hung Chen1,4, Wei-Ju Lee1,2,5, Yi-Hui Wu1,2,3, An-Chun Hwang1,2,3, Ming-Hsien Lin1,2,3, Hiroyuki Shimada6, Li-Ning Peng1,2,3, Ching-Hui Loh1,7, Hidenori Arai6, Liang-Kung Chen1,2,3.   

Abstract

The definition of cognitive frailty and its prediction for adverse outcome of community-living older adults remains controversial. This study aims to evaluate the association between cognitive frailty and all-cause mortality among community-living older adults. Data of the I-Lan Longitudinal Aging Study (ILAS) were retrieved for study. Frailty was defined by Fried's criteria, and a series of neuropsychological assessments, including the Mini-Mental State Examination, Center for Epidemiology Studies-Depression, the delayed free recall in the Chinese Version Verbal Learning Test, the Boston Naming Test, the category (animal) Verbal Fluency Test, the Taylor Complex Figure Test, the digital backward, and the Clock Drawing Test were performed. All participants received blood sampling after 10-hour overnight fast for various biochemical markers. Cognitive frailty was defined as the concomitant presence of dynapenia and cognitive declines in any domains. Overall, data of 678 participants aged 65 years and older (mean age: 73.3 ± 5.3 years) were obtained for the study. The prevalence of cognitive frailty in this study was 13.3%. People with cognitive frailty were significantly older, having higher multimorbidity burden, more likely to be women, and had less skeletal muscle mass. Adjusted for age and gender, both dynapenia without cognitive impairment (hazard ratio [HR]: 5.402; 95% confidence interval [CI]: 1.463-19.954; p = 0.011) and cognitive frailty (HR: 6.682; 95% CI: 1.803-26.116; p = 0.005) were significantly associated with all-cause mortality. The prevalence of cognitive frailty was 13.3% in Taiwan and was predictive for all-cause mortality. Further study is needed to explore the pathophysiology and reversibility of cognitive frailty.

Entities:  

Keywords:  cognitive frailty; cognitive impairment; dementia; disability; frailty; mortality

Mesh:

Year:  2018        PMID: 29644921     DOI: 10.1089/rej.2017.2038

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  16 in total

1.  Assessing Risk for Adverse Outcomes in Older Adults: The Need to Include Both Physical Frailty and Cognition.

Authors:  Márlon J R Aliberti; Irena S Cenzer; Alexander K Smith; Sei J Lee; Kristine Yaffe; Kenneth E Covinsky
Journal:  J Am Geriatr Soc       Date:  2018-11-23       Impact factor: 5.562

2.  Development and Validation of a Tool to Screen for Cognitive Frailty among Community-Dwelling Elders.

Authors:  S-H Tseng; L-K Liu; L-N Peng; P-N Wang; C-H Loh; L-K Chen
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

3.  The transitions and predictors of cognitive frailty with multi-state Markov model: a cohort study.

Authors:  Manqiong Yuan; Chuanhai Xu; Ya Fang
Journal:  BMC Geriatr       Date:  2022-07-01       Impact factor: 4.070

4.  Predicting non-elective hospital readmission or death using a composite assessment of cognitive and physical frailty in elderly inpatients with cardiovascular disease.

Authors:  Si-Min Yao; Pei-Pei Zheng; Yao-Dan Liang; Yu-Hao Wan; Ning Sun; Yao Luo; Jie-Fu Yang; Hua Wang
Journal:  BMC Geriatr       Date:  2020-06-22       Impact factor: 3.921

Review 5.  Gut microbiota, cognitive frailty and dementia in older individuals: a systematic review.

Authors:  Andrea Ticinesi; Claudio Tana; Antonio Nouvenne; Beatrice Prati; Fulvio Lauretani; Tiziana Meschi
Journal:  Clin Interv Aging       Date:  2018-08-29       Impact factor: 4.458

6.  Cerebellar-limbic neurocircuit is the novel biosignature of physio-cognitive decline syndrome.

Authors:  Li-Kuo Liu; Kun-Hsien Chou; Chih-Chin Heather Hsu; Li-Ning Peng; Wei-Ju Lee; Wei-Ta Chen; Ching-Po Lin; Chih-Ping Chung; Pei-Ning Wang; Liang-Kung Chen
Journal:  Aging (Albany NY)       Date:  2020-11-25       Impact factor: 5.682

7.  Cognitive frailty predicting all-cause mortality among community-living older adults in Taiwan: A 4-year nationwide population-based cohort study.

Authors:  Wei-Ju Lee; Li-Ning Peng; Chih-Kuang Liang; Ching-Hui Loh; Liang-Kung Chen
Journal:  PLoS One       Date:  2018-07-12       Impact factor: 3.240

8.  Cognitive function and its transitions in predicting all-cause mortality among urban community-dwelling older adults.

Authors:  Mu-Cyun Wang; Tsai-Chung Li; Chia-Ing Li; Chiu-Shong Liu; Chih-Hsueh Lin; Wen-Yuan Lin; Chuan-Wei Yang; Shing-Yu Yang; Cheng-Chieh Lin
Journal:  BMC Psychiatry       Date:  2020-05-06       Impact factor: 3.630

9.  Cognitive Frailty Predicts Incident Dementia among Community-Dwelling Older People.

Authors:  Hiroyuki Shimada; Takehiko Doi; Sangyoon Lee; Hyuma Makizako; Liang-Kung Chen; Hidenori Arai
Journal:  J Clin Med       Date:  2018-08-30       Impact factor: 4.241

Review 10.  Cognitive frailty as a predictor of adverse outcomes among older adults: A systematic review and meta-analysis.

Authors:  ZiHan Bu; AnLe Huang; MengTing Xue; QingYun Li; YaMei Bai; GuiHua Xu
Journal:  Brain Behav       Date:  2020-11-06       Impact factor: 2.708

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