predictors of dependence among people older than 65 years: a systematic review
Clicks: 255
ID: 231786
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
255 views
48 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #16 of 19 articles by views in mehran university research journal of engineering and technology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This paper systematically reviews the tools used to study dependence and disability in individuals older than 65 years and the predictors employed in analysing the trajectory of functional decline in this population. The search was conducted using the Scopus database and 23 out of the 734 available research abstracts were selected using ad hoc categories. The instruments and predictors were coded according to display format, domain of activity, and outcome measurement (disability or dependence). The results show limitations in the way the measures are conceptualized and selected, due to the lack of a standardized definition of the concepts and the inappropriate interpretation of test scores. Future research should explicitly distinguish dependence from disability, and correctly validate existing instruments or construct new ones using modern psychometric models.
| Reference Key |
baez2013escritospredictors
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Gloriannys Baez;Ana Rosa Delgado |
| Journal | mehran university research journal of engineering and technology |
| Year | 2013 |
| DOI |
10.5231/psy.writ.2013.2010
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.