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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.
Afiliação
  • Bowyer RCE; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Abbasian G; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • García MP; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Anastasiou A; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Lachance G; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Thompson EJ; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Hart D; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
  • Dowd JB; Leverhulme Centre for Demographic Science, Department of Sociology, University of Oxford, Oxford, Ox1 1JD, UK.
  • Steves CJ; Department of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Wellcome Open Res ; 7: 19, 2022.
Article em En | MEDLINE | ID: mdl-37811312
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2022 Tipo de documento: Article