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How the home features in young adults' representations of loneliness: The impact of COVID-19.

Isabel SawyerSam FardghassemiHelene Joffe
Published in: The British journal of social psychology (2022)
Loneliness is a rapidly growing problem globally and has attracted a great deal of attention in light of the COVID-19 pandemic. Young adults, and in particular, those residing in deprived areas are currently the loneliest group in the United Kingdom. Utilizing a novel-free association technique, young adults' experiences of loneliness were explored both prior to (n = 48) and during (n = 35) the COVID-19 pandemic. Drawing on social representations theory, a thematic analysis revealed that many young adults associated the experience of loneliness with their homes. Therefore, this comparative study aims to investigate how the home features in young adults' representations of loneliness, prior to and during the COVID-19 pandemic using a systematic qualitative methodology. Three salient themes emerged from the data in both periods: 'The Lonely Home,' 'The Socially Connected Home' and 'The Safe, Peaceful, Authentic Home'. 'The Lonely Home' and 'The Socially Connected Home' emerged as a dialogical antimony. Representations of home were similar across the two periods; however, there were some notable differences. In particular, the themes 'The Socially Connected Home' and 'The Safe, Peaceful, Authentic Home' were less frequently mentioned by the during-COVID-19 sample where the 'The Lonely Home' was more frequently mentioned by the during-COVID-19 sample. Overall, discussion of the home was more negatively valenced in the during-COVID-19 sample compared to the pre-COVID-19 sample. This comparative, exploratory study alerts us to the nature of the role that home plays in exacerbating or ameliorating loneliness both prior to and during the COVID-19 pandemic.
Keyphrases
  • young adults
  • healthcare
  • working memory
  • coronavirus disease
  • systematic review
  • mental health
  • sars cov
  • machine learning
  • depressive symptoms
  • big data