Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

Submitted: 13 October 2016
Accepted: 6 February 2017
Published: 11 May 2017
Abstract Views: 2605
PDF: 1028
HTML: 879
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

The global percentage of people over 60 is strongly increasing and estimated to exceed 20% by 20,150, which means that there will be an increase in many pathological conditions related to aging. Mapping of the location of aging people and identification of their needs can be extremely valuable from a social-economic point of view. Participants in this study were 148 randomly selected adults from Talca City, Chile aged 60-74 at baseline. Geographic information systems (GIS) analyses were performed using ArcGIS software through its module Spatial Autocorrelation. In this study, we demonstrated that elderly people show geographic clustering according to above-norm results of anthropometric measurements and blood chemistry. The spatial identifications found would facilitate exploring the impact of treatment programmes in communities where many aging people live, thereby improving their quality of life as well as reducing overall costs.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

How to Cite

Mena, C., Fuentes, E., Ormazábal, Y., & Palomo, I. (2017). Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry. Geospatial Health, 12(1). https://doi.org/10.4081/gh.2017.523

List of Cited By :

Crossref logo

Similar Articles

You may also start an advanced similarity search for this article.