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Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East
Obesity has become a worldwide epidemic. Qatar, a rapidly developing country in the Middle East, has seen a sharp increase in the prevalence of obesity. The increase can be attributed to several reasons, including sedentary lifestyles imposed by a harsh climate and the introduction of Western fast f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913349/ https://www.ncbi.nlm.nih.gov/pubmed/24511311 http://dx.doi.org/10.1155/2014/658149 |
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author | Limam Mansar, Selma Jariwala, Shashank Behih, Nawal Shahzad, Maahd Anggraini, Aysha |
author_facet | Limam Mansar, Selma Jariwala, Shashank Behih, Nawal Shahzad, Maahd Anggraini, Aysha |
author_sort | Limam Mansar, Selma |
collection | PubMed |
description | Obesity has become a worldwide epidemic. Qatar, a rapidly developing country in the Middle East, has seen a sharp increase in the prevalence of obesity. The increase can be attributed to several reasons, including sedentary lifestyles imposed by a harsh climate and the introduction of Western fast food. Mobile technologies have been used and studied as a technology to support individuals' weight loss. The authors have developed a mobile application that implements three strategies drawn from proven theories of behavioral change. The application is localized to the cultural context of its proposed users. The objective of this paper is to present a method through which we adapted the messaging content of a weight loss application to the context of its users while retaining an effective degree of automation. The adaptation addressed body image, eating and physical exercise habits, and regional/cultural needs. The paper discusses how surveying potential users can be used to build a profile of a target population, find common patterns, and then develop a database of text messages. The text messages are automated and sent to the users at specific times of day, as suggested by the survey results. |
format | Online Article Text |
id | pubmed-3913349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39133492014-02-09 Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East Limam Mansar, Selma Jariwala, Shashank Behih, Nawal Shahzad, Maahd Anggraini, Aysha Int J Telemed Appl Research Article Obesity has become a worldwide epidemic. Qatar, a rapidly developing country in the Middle East, has seen a sharp increase in the prevalence of obesity. The increase can be attributed to several reasons, including sedentary lifestyles imposed by a harsh climate and the introduction of Western fast food. Mobile technologies have been used and studied as a technology to support individuals' weight loss. The authors have developed a mobile application that implements three strategies drawn from proven theories of behavioral change. The application is localized to the cultural context of its proposed users. The objective of this paper is to present a method through which we adapted the messaging content of a weight loss application to the context of its users while retaining an effective degree of automation. The adaptation addressed body image, eating and physical exercise habits, and regional/cultural needs. The paper discusses how surveying potential users can be used to build a profile of a target population, find common patterns, and then develop a database of text messages. The text messages are automated and sent to the users at specific times of day, as suggested by the survey results. Hindawi Publishing Corporation 2014 2014-01-06 /pmc/articles/PMC3913349/ /pubmed/24511311 http://dx.doi.org/10.1155/2014/658149 Text en Copyright © 2014 Selma Limam Mansar et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Limam Mansar, Selma Jariwala, Shashank Behih, Nawal Shahzad, Maahd Anggraini, Aysha Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East |
title | Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East |
title_full | Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East |
title_fullStr | Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East |
title_full_unstemmed | Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East |
title_short | Adapting a Database of Text Messages to a Mobile-Based Weight Loss Program: The Case of the Middle East |
title_sort | adapting a database of text messages to a mobile-based weight loss program: the case of the middle east |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3913349/ https://www.ncbi.nlm.nih.gov/pubmed/24511311 http://dx.doi.org/10.1155/2014/658149 |
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