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Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults
Social isolation is a core challenge associated with autism. Interpersonal relationships and the resources and support embedded in the social networks of autistic young adults could impact key adult outcomes, including quality of life, mental health, employment, and independence. However, little res...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497874/ https://www.ncbi.nlm.nih.gov/pubmed/32954220 http://dx.doi.org/10.1089/aut.2019.0058 |
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author | McGhee Hassrick, Elizabeth Sosnowy, Collette Graham Holmes, Laura Walton, Jessica Shattuck, Paul T. |
author_facet | McGhee Hassrick, Elizabeth Sosnowy, Collette Graham Holmes, Laura Walton, Jessica Shattuck, Paul T. |
author_sort | McGhee Hassrick, Elizabeth |
collection | PubMed |
description | Social isolation is a core challenge associated with autism. Interpersonal relationships and the resources and support embedded in the social networks of autistic young adults could impact key adult outcomes, including quality of life, mental health, employment, and independence. However, little research systematically measures the networks of autistic young adults and network impact on key adult outcomes. This article demonstrates how social network analysis can be adapted for the field of autism to measure young adult networks. We provide examples as to how this approach could be implemented to yield key insights into the amount and quality of interpersonal relationships and the types of resources embedded in the networks of autistic young adults. The network protocol was feasibility tested with autistic adults during the posthigh school transition period (n = 17, 19–27 years). The parents of three of the recruited young adults also successfully completed a complementary network survey, allowing for the inclusion of the parent-reported network using duocentric network analysis, never before applied to parent–child networks. The implementation data collected from the study suggest feasibility of egocentric and duocentric approaches, with several important modifications to adapt the measure for the field of autism. The future potential of social network research for understanding autism in adulthood is discussed. |
format | Online Article Text |
id | pubmed-7497874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-74978742020-09-18 Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults McGhee Hassrick, Elizabeth Sosnowy, Collette Graham Holmes, Laura Walton, Jessica Shattuck, Paul T. Autism Adulthood Advances in Methodology Social isolation is a core challenge associated with autism. Interpersonal relationships and the resources and support embedded in the social networks of autistic young adults could impact key adult outcomes, including quality of life, mental health, employment, and independence. However, little research systematically measures the networks of autistic young adults and network impact on key adult outcomes. This article demonstrates how social network analysis can be adapted for the field of autism to measure young adult networks. We provide examples as to how this approach could be implemented to yield key insights into the amount and quality of interpersonal relationships and the types of resources embedded in the networks of autistic young adults. The network protocol was feasibility tested with autistic adults during the posthigh school transition period (n = 17, 19–27 years). The parents of three of the recruited young adults also successfully completed a complementary network survey, allowing for the inclusion of the parent-reported network using duocentric network analysis, never before applied to parent–child networks. The implementation data collected from the study suggest feasibility of egocentric and duocentric approaches, with several important modifications to adapt the measure for the field of autism. The future potential of social network research for understanding autism in adulthood is discussed. Mary Ann Liebert, Inc., publishers 2020-09-01 2020-09-03 /pmc/articles/PMC7497874/ /pubmed/32954220 http://dx.doi.org/10.1089/aut.2019.0058 Text en © Elizabeth McGhee Hassrick et al., 2020; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Advances in Methodology McGhee Hassrick, Elizabeth Sosnowy, Collette Graham Holmes, Laura Walton, Jessica Shattuck, Paul T. Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults |
title | Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults |
title_full | Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults |
title_fullStr | Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults |
title_full_unstemmed | Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults |
title_short | Social Capital and Autism in Young Adulthood: Applying Social Network Methods to Measure the Social Capital of Autistic Young Adults |
title_sort | social capital and autism in young adulthood: applying social network methods to measure the social capital of autistic young adults |
topic | Advances in Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497874/ https://www.ncbi.nlm.nih.gov/pubmed/32954220 http://dx.doi.org/10.1089/aut.2019.0058 |
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