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Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis
BACKGROUND: The US Centers for Disease Control and Prevention have identified a lack of encouragement, support, or companionship from family and friends as a major barrier to physical activity. To overcome this barrier, online social networks are now actively leveraging principles of companion socia...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090378/ https://www.ncbi.nlm.nih.gov/pubmed/24936569 http://dx.doi.org/10.2196/jmir.2674 |
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author | Nakhasi, Atul Shen, Album Xiaotian Passarella, Ralph Joseph Appel, Lawrence J Anderson, Cheryl AM |
author_facet | Nakhasi, Atul Shen, Album Xiaotian Passarella, Ralph Joseph Appel, Lawrence J Anderson, Cheryl AM |
author_sort | Nakhasi, Atul |
collection | PubMed |
description | BACKGROUND: The US Centers for Disease Control and Prevention have identified a lack of encouragement, support, or companionship from family and friends as a major barrier to physical activity. To overcome this barrier, online social networks are now actively leveraging principles of companion social support in novel ways. OBJECTIVE: The aim was to evaluate the functionality, features, and usability of existing online social networks which seek to increase physical activity and fitness among users by connecting them to physical activity partners, not just online, but also face-to-face. METHODS: In September 2012, we used 3 major databases to identify the website addresses for relevant online social networks. We conducted a Google search using 8 unique keyword combinations: the common keyword “find” coupled with 1 of 4 prefix terms “health,” “fitness,” “workout,” or “physical” coupled with 1 of 2 stem terms “activity partners” or “activity buddies.” We also searched 2 prominent technology start-up news sites, TechCrunch and Y Combinator, using 2 unique keyword combinations: the common keyword “find” coupled with 1 of 2 stem terms “activity partners” and “activity buddies.” Sites were defined as online social health activity networks if they had the ability to (1) actively find physical activity partners or activities for the user, (2) offer dynamic, real-time tracking or sharing of social activities, and (3) provide virtual profiles to users. We excluded from our analysis sites that were not Web-based, publicly available, in English, or free. RESULTS: Of the 360 initial search results, we identified 13 websites that met our complete criteria of an online social health activity network. Features such as physical activity creation (13/13, 100%) and private messaging (12/13, 92%) appeared almost universally among these websites. However, integration with Web 2.0 technologies such as Facebook and Twitter (9/13, 69%) and the option of direct event joining (8/13, 62%) were not as universally present. Largely absent were more sophisticated features that would enable greater usability, such as interactive engagement prompts (3/13, 23%) and system-created best fit activities (3/13, 23%). CONCLUSIONS: Several major online social networks that connect users to physical activity partners currently exist and use standardized features to achieve their goals. Future research is needed to better understand how users utilize these features and how helpful they truly are. |
format | Online Article Text |
id | pubmed-4090378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-40903782014-07-10 Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis Nakhasi, Atul Shen, Album Xiaotian Passarella, Ralph Joseph Appel, Lawrence J Anderson, Cheryl AM J Med Internet Res Review BACKGROUND: The US Centers for Disease Control and Prevention have identified a lack of encouragement, support, or companionship from family and friends as a major barrier to physical activity. To overcome this barrier, online social networks are now actively leveraging principles of companion social support in novel ways. OBJECTIVE: The aim was to evaluate the functionality, features, and usability of existing online social networks which seek to increase physical activity and fitness among users by connecting them to physical activity partners, not just online, but also face-to-face. METHODS: In September 2012, we used 3 major databases to identify the website addresses for relevant online social networks. We conducted a Google search using 8 unique keyword combinations: the common keyword “find” coupled with 1 of 4 prefix terms “health,” “fitness,” “workout,” or “physical” coupled with 1 of 2 stem terms “activity partners” or “activity buddies.” We also searched 2 prominent technology start-up news sites, TechCrunch and Y Combinator, using 2 unique keyword combinations: the common keyword “find” coupled with 1 of 2 stem terms “activity partners” and “activity buddies.” Sites were defined as online social health activity networks if they had the ability to (1) actively find physical activity partners or activities for the user, (2) offer dynamic, real-time tracking or sharing of social activities, and (3) provide virtual profiles to users. We excluded from our analysis sites that were not Web-based, publicly available, in English, or free. RESULTS: Of the 360 initial search results, we identified 13 websites that met our complete criteria of an online social health activity network. Features such as physical activity creation (13/13, 100%) and private messaging (12/13, 92%) appeared almost universally among these websites. However, integration with Web 2.0 technologies such as Facebook and Twitter (9/13, 69%) and the option of direct event joining (8/13, 62%) were not as universally present. Largely absent were more sophisticated features that would enable greater usability, such as interactive engagement prompts (3/13, 23%) and system-created best fit activities (3/13, 23%). CONCLUSIONS: Several major online social networks that connect users to physical activity partners currently exist and use standardized features to achieve their goals. Future research is needed to better understand how users utilize these features and how helpful they truly are. JMIR Publications Inc. 2014-06-16 /pmc/articles/PMC4090378/ /pubmed/24936569 http://dx.doi.org/10.2196/jmir.2674 Text en ©Atul Nakhasi, Album Xiaotian Shen, Ralph Joseph Passarella, Lawrence J Appel, Cheryl AM Anderson. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.06.2014. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Review Nakhasi, Atul Shen, Album Xiaotian Passarella, Ralph Joseph Appel, Lawrence J Anderson, Cheryl AM Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis |
title | Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis |
title_full | Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis |
title_fullStr | Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis |
title_full_unstemmed | Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis |
title_short | Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis |
title_sort | online social networks that connect users to physical activity partners: a review and descriptive analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090378/ https://www.ncbi.nlm.nih.gov/pubmed/24936569 http://dx.doi.org/10.2196/jmir.2674 |
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