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A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks
Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessme...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158181/ https://www.ncbi.nlm.nih.gov/pubmed/30258103 http://dx.doi.org/10.1038/s41467-018-06408-6 |
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author | Dhand, Amar White, Charles C. Johnson, Catherine Xia, Zongqi De Jager, Philip L. |
author_facet | Dhand, Amar White, Charles C. Johnson, Catherine Xia, Zongqi De Jager, Philip L. |
author_sort | Dhand, Amar |
collection | PubMed |
description | Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual’s personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person’s social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual’s functional disability. This quantitative assessment reveals the key elements of individuals’ social environments that could be targeted in clinical trials. |
format | Online Article Text |
id | pubmed-6158181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61581812018-10-01 A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks Dhand, Amar White, Charles C. Johnson, Catherine Xia, Zongqi De Jager, Philip L. Nat Commun Article Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual’s personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person’s social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual’s functional disability. This quantitative assessment reveals the key elements of individuals’ social environments that could be targeted in clinical trials. Nature Publishing Group UK 2018-09-26 /pmc/articles/PMC6158181/ /pubmed/30258103 http://dx.doi.org/10.1038/s41467-018-06408-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Dhand, Amar White, Charles C. Johnson, Catherine Xia, Zongqi De Jager, Philip L. A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
title | A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
title_full | A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
title_fullStr | A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
title_full_unstemmed | A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
title_short | A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
title_sort | scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158181/ https://www.ncbi.nlm.nih.gov/pubmed/30258103 http://dx.doi.org/10.1038/s41467-018-06408-6 |
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