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Diverging destinies: ‘social’ data within the TwinsUK cohort
Background: Twins offer social scientists a unique opportunity to understand the interplay of social factors and physical and mental well-being. TwinsUK is the largest UK registry of adult mono- and dy-zygotic twins, but most of the research that utilises the cohorts’ data to date has focused on the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558976/ https://www.ncbi.nlm.nih.gov/pubmed/37811312 http://dx.doi.org/10.12688/wellcomeopenres.17139.1 |
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author | Bowyer, Ruth C E Abbasian, Golboo García, María Paz Anastasiou, Andrew Lachance, Genevieve Thompson, Ellen J Hart, Deborah Dowd, Jennifer B Steves, Claire J |
author_facet | Bowyer, Ruth C E Abbasian, Golboo García, María Paz Anastasiou, Andrew Lachance, Genevieve Thompson, Ellen J Hart, Deborah Dowd, Jennifer B Steves, Claire J |
author_sort | Bowyer, Ruth C E |
collection | PubMed |
description | Background: Twins offer social scientists a unique opportunity to understand the interplay of social factors and physical and mental well-being. TwinsUK is the largest UK registry of adult mono- and dy-zygotic twins, but most of the research that utilises the cohorts’ data to date has focused on the genetic underpinnings of complex disease. Methods: Following formal unstructured discussions with social scientists we identified key areas of research interest and annotated the historical data collections in TwinsUK where they could be applied to these research aims. Results: We present a summary of variables identified as of key interest to researchers from the social science sphere, spanning the following domains: 1: Parenting, child rearing and pregnancies; 2: Working habits and patterns; 3: Sleeping habits and patterns; 4: Social support; 5: Negative life events; 6: Spousal relationships. Conclusions: TwinsUK has a wide range of genetic and health data that would allow investigation of research questions focusing on these domains. |
format | Online Article Text |
id | pubmed-10558976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-105589762023-10-08 Diverging destinies: ‘social’ data within the TwinsUK cohort Bowyer, Ruth C E Abbasian, Golboo García, María Paz Anastasiou, Andrew Lachance, Genevieve Thompson, Ellen J Hart, Deborah Dowd, Jennifer B Steves, Claire J Wellcome Open Res Data Note Background: Twins offer social scientists a unique opportunity to understand the interplay of social factors and physical and mental well-being. TwinsUK is the largest UK registry of adult mono- and dy-zygotic twins, but most of the research that utilises the cohorts’ data to date has focused on the genetic underpinnings of complex disease. Methods: Following formal unstructured discussions with social scientists we identified key areas of research interest and annotated the historical data collections in TwinsUK where they could be applied to these research aims. Results: We present a summary of variables identified as of key interest to researchers from the social science sphere, spanning the following domains: 1: Parenting, child rearing and pregnancies; 2: Working habits and patterns; 3: Sleeping habits and patterns; 4: Social support; 5: Negative life events; 6: Spousal relationships. Conclusions: TwinsUK has a wide range of genetic and health data that would allow investigation of research questions focusing on these domains. F1000 Research Limited 2022-01-24 /pmc/articles/PMC10558976/ /pubmed/37811312 http://dx.doi.org/10.12688/wellcomeopenres.17139.1 Text en Copyright: © 2022 Bowyer RCE et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Note Bowyer, Ruth C E Abbasian, Golboo García, María Paz Anastasiou, Andrew Lachance, Genevieve Thompson, Ellen J Hart, Deborah Dowd, Jennifer B Steves, Claire J Diverging destinies: ‘social’ data within the TwinsUK cohort |
title | Diverging destinies: ‘social’ data within the TwinsUK cohort |
title_full | Diverging destinies: ‘social’ data within the TwinsUK cohort |
title_fullStr | Diverging destinies: ‘social’ data within the TwinsUK cohort |
title_full_unstemmed | Diverging destinies: ‘social’ data within the TwinsUK cohort |
title_short | Diverging destinies: ‘social’ data within the TwinsUK cohort |
title_sort | diverging destinies: ‘social’ data within the twinsuk cohort |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558976/ https://www.ncbi.nlm.nih.gov/pubmed/37811312 http://dx.doi.org/10.12688/wellcomeopenres.17139.1 |
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