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Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases
The research aims to explore the association between behavioral habits and chronic diseases, and to identify a portfolio of risk factors for preventive healthcare. The data is taken from the Behavioral Risk Factor Surveillance System (BRFSS) database of the Centers for Disease Control and Prevention...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371914/ https://www.ncbi.nlm.nih.gov/pubmed/28178194 http://dx.doi.org/10.3390/healthcare5010008 |
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author | Raghupathi, Viju Raghupathi, Wullianallur |
author_facet | Raghupathi, Viju Raghupathi, Wullianallur |
author_sort | Raghupathi, Viju |
collection | PubMed |
description | The research aims to explore the association between behavioral habits and chronic diseases, and to identify a portfolio of risk factors for preventive healthcare. The data is taken from the Behavioral Risk Factor Surveillance System (BRFSS) database of the Centers for Disease Control and Prevention, for the year 2012. Using SPSS Modeler, we deploy neural networks to identify strong positive and negative associations between certain chronic diseases and behavioral habits. The data for 475,687 records from BRFS database included behavioral habit variables of consumption of soda and fruits/vegetables, alcohol, smoking, weekly working hours, and exercise; chronic disease variables of heart attack, stroke, asthma, and diabetes; and demographic variables of marital status, income, and age. Our findings indicate that with chronic conditions, behavioral habits of physical activity and fruit and vegetable consumption are negatively associated; soda, alcohol, and smoking are positively associated; and income and age are positively associated. We contribute to individual and national preventive healthcare by offering a portfolio of significant behavioral risk factors that enable individuals to make lifestyle changes and governments to frame campaigns and policies countering chronic conditions and promoting public health. |
format | Online Article Text |
id | pubmed-5371914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53719142017-04-10 Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases Raghupathi, Viju Raghupathi, Wullianallur Healthcare (Basel) Article The research aims to explore the association between behavioral habits and chronic diseases, and to identify a portfolio of risk factors for preventive healthcare. The data is taken from the Behavioral Risk Factor Surveillance System (BRFSS) database of the Centers for Disease Control and Prevention, for the year 2012. Using SPSS Modeler, we deploy neural networks to identify strong positive and negative associations between certain chronic diseases and behavioral habits. The data for 475,687 records from BRFS database included behavioral habit variables of consumption of soda and fruits/vegetables, alcohol, smoking, weekly working hours, and exercise; chronic disease variables of heart attack, stroke, asthma, and diabetes; and demographic variables of marital status, income, and age. Our findings indicate that with chronic conditions, behavioral habits of physical activity and fruit and vegetable consumption are negatively associated; soda, alcohol, and smoking are positively associated; and income and age are positively associated. We contribute to individual and national preventive healthcare by offering a portfolio of significant behavioral risk factors that enable individuals to make lifestyle changes and governments to frame campaigns and policies countering chronic conditions and promoting public health. MDPI 2017-02-06 /pmc/articles/PMC5371914/ /pubmed/28178194 http://dx.doi.org/10.3390/healthcare5010008 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Raghupathi, Viju Raghupathi, Wullianallur Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases |
title | Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases |
title_full | Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases |
title_fullStr | Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases |
title_full_unstemmed | Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases |
title_short | Preventive Healthcare: A Neural Network Analysis of Behavioral Habits and Chronic Diseases |
title_sort | preventive healthcare: a neural network analysis of behavioral habits and chronic diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371914/ https://www.ncbi.nlm.nih.gov/pubmed/28178194 http://dx.doi.org/10.3390/healthcare5010008 |
work_keys_str_mv | AT raghupathiviju preventivehealthcareaneuralnetworkanalysisofbehavioralhabitsandchronicdiseases AT raghupathiwullianallur preventivehealthcareaneuralnetworkanalysisofbehavioralhabitsandchronicdiseases |