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

Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
  • Eduardo Fuentes
    Platelet Research Laboratory, Department of Clinical Biochemistry and Immunohaematology, Faculty of Health Sciences, University of Talca; Scientific Multidisciplinary Nucleus, University of Talca, Chile
  • Yony Ormazábal
    Geomatics Center, University of Talca, Chile
  • Iván Palomo
    Platelet Research Laboratory, Department of Clinical Biochemistry and Immunohaematology, Faculty of Health Sciences, University of Talca, Chile

Abstract

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.

Keywords

Geographic information system; Moran’s I; Getis-Ord Gi*; Aging; Cardiovascular parameters

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Submitted: 2016-10-13 01:54:42
Published: 2017-05-11 11:32:33
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