Cargando…
Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination
BACKGROUND: Mini-mental state examination (MMSE) scale measures cognition using specific elements that can be isolated, defined, and subsequently measured. This study was conducted with the aim to analyze the factorial structure of MMSE in a largely, illiterate, elderly population in India and to re...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750338/ https://www.ncbi.nlm.nih.gov/pubmed/26933343 http://dx.doi.org/10.4103/0976-3147.172153 |
_version_ | 1782415423843598336 |
---|---|
author | Raina, Sunil Kumar Chander, Vishav Raina, Sujeet Grover, Ashoo |
author_facet | Raina, Sunil Kumar Chander, Vishav Raina, Sujeet Grover, Ashoo |
author_sort | Raina, Sunil Kumar |
collection | PubMed |
description | BACKGROUND: Mini-mental state examination (MMSE) scale measures cognition using specific elements that can be isolated, defined, and subsequently measured. This study was conducted with the aim to analyze the factorial structure of MMSE in a largely, illiterate, elderly population in India and to reduce the number of variables to a few meaningful and interpretable combinations. METHODOLOGY: Principal component analysis (PCA) was performed post-hoc on the data generated by a research project conducted to estimate the prevalence of dementia in four geographically defined habitations in Himachal Pradesh state of India. RESULTS: Questions on orientation and registration account for high percentage of cumulative variance in comparison to other questions. DISCUSSION: The PCA conducted on the data derived from a largely, illiterate population reveals that the most important components to consider for the estimation of cognitive impairment in illiterate Indian population are temporal orientation, spatial orientation, and immediate memory. |
format | Online Article Text |
id | pubmed-4750338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47503382016-03-01 Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination Raina, Sunil Kumar Chander, Vishav Raina, Sujeet Grover, Ashoo J Neurosci Rural Pract Original Article BACKGROUND: Mini-mental state examination (MMSE) scale measures cognition using specific elements that can be isolated, defined, and subsequently measured. This study was conducted with the aim to analyze the factorial structure of MMSE in a largely, illiterate, elderly population in India and to reduce the number of variables to a few meaningful and interpretable combinations. METHODOLOGY: Principal component analysis (PCA) was performed post-hoc on the data generated by a research project conducted to estimate the prevalence of dementia in four geographically defined habitations in Himachal Pradesh state of India. RESULTS: Questions on orientation and registration account for high percentage of cumulative variance in comparison to other questions. DISCUSSION: The PCA conducted on the data derived from a largely, illiterate population reveals that the most important components to consider for the estimation of cognitive impairment in illiterate Indian population are temporal orientation, spatial orientation, and immediate memory. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4750338/ /pubmed/26933343 http://dx.doi.org/10.4103/0976-3147.172153 Text en Copyright: © Journal of Neurosciences in Rural Practice http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Raina, Sunil Kumar Chander, Vishav Raina, Sujeet Grover, Ashoo Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination |
title | Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination |
title_full | Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination |
title_fullStr | Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination |
title_full_unstemmed | Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination |
title_short | Post-hoc principal component analysis on a largely illiterate elderly population from North-west India to identify important elements of mini-mental state examination |
title_sort | post-hoc principal component analysis on a largely illiterate elderly population from north-west india to identify important elements of mini-mental state examination |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750338/ https://www.ncbi.nlm.nih.gov/pubmed/26933343 http://dx.doi.org/10.4103/0976-3147.172153 |
work_keys_str_mv | AT rainasunilkumar posthocprincipalcomponentanalysisonalargelyilliterateelderlypopulationfromnorthwestindiatoidentifyimportantelementsofminimentalstateexamination AT chandervishav posthocprincipalcomponentanalysisonalargelyilliterateelderlypopulationfromnorthwestindiatoidentifyimportantelementsofminimentalstateexamination AT rainasujeet posthocprincipalcomponentanalysisonalargelyilliterateelderlypopulationfromnorthwestindiatoidentifyimportantelementsofminimentalstateexamination AT groverashoo posthocprincipalcomponentanalysisonalargelyilliterateelderlypopulationfromnorthwestindiatoidentifyimportantelementsofminimentalstateexamination |