Will genetic testing for predisposition for disease result in fatalism? A qualitative study of parents responses to neonatal screening for familial hypercholesterolaemia

Victoria Senior, Theresa M. Marteau and Timothy J. Peters

Social Science & Medicine, 1999, vol. 48, issue 12, 1857-1860

Abstract: Objective: to describe parents' perceptions of familial hypercholesterolaemia (FH), an inherited predisposition to heart disease, following population-based neonatal screening. Design: a qualitative analysis of semi-structured interviews with the parents of 24 children who had received a positive screening test result informing them that their child was at-risk for having FH. Results: responses to screening seemed to vary according to perceptions of the underlying cause of the positive screening test result. When parents perceived the test as detecting raised cholesterol the condition was perceived as familiar, dietary in origin, controllable and less threatening. When the test was seen as detecting a genetic problem, the condition was perceived as uncontrollable and, hence, more threatening. Conclusion: these pilot data raise questions about the extent to which assessing disease risks by DNA analysis may result in a sense of fatalism, adversely affecting motivation to change behaviour and to reduce risks.

Keywords: Genetic; testing; Neonatal; screening; Illness; perceptions (search for similar items in EconPapers)
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277-9536(99)00099-4
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:48:y:1999:i:12:p:1857-1860

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

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 ().