Literature DB >> 27163817

Daily Function as Predictor of Dementia in Cognitive Impairment, No Dementia (CIND) and Mild Cognitive Impairment (MCI): An 8-Year Follow-Up in the ILSA Study.

Antonio Di Carlo1, Marzia Baldereschi1, Maria Lamassa2, Francesca Bovis2, Marco Inzitari3, Vincenzo Solfrizzi4, Francesco Panza5,6, Lucia Galluzzo7, Emanuele Scafato7, Domenico Inzitari1,2.   

Abstract

BACKGROUND: Preclinical cognitive changes may predict an increased risk of dementia, allowing selection of subgroups as possible targets for preventive or therapeutic interventions.
OBJECTIVE: To evaluate the predictive effect of daily functioning and motor performance (MP) on the progression to dementia in normal cognition, cognitive impairment, no dementia (CIND), and mild cognitive impairment (MCI).
METHODS: The Italian Longitudinal Study on Aging is a large population-based survey on age-related diseases of the cardiovascular and nervous systems. After the baseline assessment, to detect prevalent cases of cognitive impairment and dementia, participants were re-examined at 4-year and 8-year follow-ups. Functional independence was evaluated using the Index of Activities of Daily Living (ADL) and the Instrumental Activities of Daily Living (IADL) Scale. A six-test battery was used to assess MP.
RESULTS: Overall, 2,386 individuals were included, for a total of 16,545 person-years. Eight-year incidence of dementia (per 1,000 person-years) was 12.69 in total sample, 9.86 in subjects with normal cognition at baseline, 22.99 in CIND, and 21.43 in MCI. Progression to dementia was significantly higher with increasing baseline ADL and IADL impairment, and with a worse MP. In Cox regression analyses controlled for demographics and major age-related conditions, increased IADL impairment was the stronger predictor of progression to dementia (p < 0.001), with HR ranging from 2.16 (95% CI, 0.82-5.70) to 9.57 (95% CI, 3.40-26.91) in subjects with MCI at baseline.
CONCLUSIONS: Inclusion of IADL in the MCI construct significantly improves the prediction of dementia. Individuation of different transition rates is required to plan cost-effective interventions.

Entities:  

Keywords:  Dementia; instrumental activities of daily living; longitudinal studies; mild cognitive impairment; motor performance

Mesh:

Year:  2016        PMID: 27163817     DOI: 10.3233/JAD-160087

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  7 in total

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Authors:  Hui Min Lim; Lee Gan Goh; T Thirumoorthy
Journal:  Singapore Med J       Date:  2016-10-18       Impact factor: 1.858

2.  Development and Validation of a Nomogram for Predicting the 6-Year Risk of Cognitive Impairment Among Chinese Older Adults.

Authors:  Jinhui Zhou; Yuebin Lv; Chen Mao; Jun Duan; Xiang Gao; Jiaonan Wang; Zhaoxue Yin; Wanying Shi; Jiesi Luo; Qi Kang; Xiaochang Zhang; Yuan Wei; Virginia Byers Kraus; Xiaoming Shi
Journal:  J Am Med Dir Assoc       Date:  2020-06-03       Impact factor: 4.669

3.  Predictors of Residential Care Admission in Community-Dwelling Older People With Dementia.

Authors:  Hamish Jamieson; Rebecca Abey-Nesbit; Prasad S Nishtala; Heather Allore; Ling Han; Joanne M Deely; John W Pickering
Journal:  J Am Med Dir Assoc       Date:  2020-07-06       Impact factor: 7.802

4.  Predictors of activities of daily living in heathy older adults: Who benefits most from online cognitive training?

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Review 5.  Evaluation and Treatment of Vascular Cognitive Impairment by Transcranial Magnetic Stimulation.

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Journal:  Neural Plast       Date:  2020-10-27       Impact factor: 3.599

6.  Cognitive Differences in the Older Adults Living in the General Community: Gender and Mental Occupational State Study.

Authors:  Estela Calatayud; Carlos Salavera; Isabel Gómez-Soria
Journal:  Int J Environ Res Public Health       Date:  2021-03-17       Impact factor: 3.390

7.  Automated Classification of Normal Control and Early-Stage Dementia Based on Activities of Daily Living (ADL) Data Acquired from Smart Home Environment.

Authors:  Lee-Nam Kwon; Dong-Hun Yang; Myung-Gwon Hwang; Soo-Jin Lim; Young-Kuk Kim; Jae-Gyum Kim; Kwang-Hee Cho; Hong-Woo Chun; Kun-Woo Park
Journal:  Int J Environ Res Public Health       Date:  2021-12-15       Impact factor: 3.390

  7 in total

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