EconPapers    
Economics at your fingertips  
 

Spontaneity and serendipity: Space and time in the lives of people with diabetes

Mark Lucherini

Social Science & Medicine, 2020, vol. 245, issue C

Abstract: This article considers the relevance of non-representational theory to understanding the lived experience of diabetes. While non-representational theory has gained traction in the social sciences, especially Human Geography, its usefulness in extending our understanding of experiences of health and illness is often restricted to an idea of wellbeing that assumes an able and healthy body. This article draws on qualitative research on the everyday experiences of living with diabetes, to consider how non-representational theory can be applied to understanding the everyday experience of ill bodies. The analysis moves through ideas of mobility, routine, anticipation and adjustment to highlight the challenges of spontaneity and serendipity in the everyday lives of people with diabetes. The article concludes by considering some of the advantages of a non-representational approach for healthcare practice.

Keywords: UK; Diabetes; Non-representational theory; Mobility; Routine; Chronic illness; Space-time; Qualitative (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S027795361930718X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:245:y:2020:i:c:s027795361930718x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01

DOI: 10.1016/j.socscimed.2019.112723

Access Statistics for this article

Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian

More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:socmed:v:245:y:2020:i:c:s027795361930718x