Looking beyond risk: A study of lay epidemiology of childhood disorders

Health, Risk and Society

Volumn 13, Issue 2, 2011, Pages 129-145

  Russell, Ginny ^a   Kelly, Susan ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Autism; Autistic Spectrum Disorders; Childhood disorders; Expertise; Lay epidemiology

Indexed keywords

ARTICLE; AUTISM; CHILDHOOD DISEASE; HUMAN; LIFESTYLE; RISK FACTOR; SOCIAL INTERACTION;

EID: 79953691803     PISSN: 13698575     EISSN: 14698331     Source Type: Journal    
DOI: 10.1080/13698575.2010.515738     Document Type: Article

References (49)

1. Andrews, N., et al., 2002. Recall bias, MMR, and autism. Archives of Disease in Childhood, 87 (6),493-494.
2. Baggs, A., 2007. In my language. Available from: http://www.youtube.com/watch?v=JnylM1hI2jc [Accessed 1 July 2009].
3. Beck, U., 1992. Risk society: Towards a new modernity. London: Sage.
4. Beck, U., 1999. World risk society. Cambridge: Polity Press.
5. Benayed, R., et al., 2005. Support for the homeobox transcription factor gene as an autism spectrum disorder susceptibility locus. American Journal of Human Genetics, 77 (5), 851-868.
6. Braun, V. and Clarke, V., 2006. Using thematic analysis in psychology. Qualitative Research in Psychology, 101 (3), 77.
7. Brown, P., 1997. Popular epidemiology revisited. Current Sociology, 45 (3), 137-156.
8. Brownlie, J. and Howson, A., 2005. 'Leaps of faith' and MMR: An empirical study of trust. Sociology, 39 (2), 221-239.
9. Bumiller, K., 2009. The geneticization of autism: From new reproductive technologies to the conception of genetic normalcy. Signs: Journal of Women in Culture and Society, 34 (4),875-899.
10. Bury, M., 1994. Health promotion and lay epidemiology: A sociological view. Health Care Analysis, 2 (1), 23-30.
11. Casiday, R.E., 2007. Children's health and the social theory of risk: Insights from the British measles, mumps and rubella (MMR) controversy. Social Science & Medicine, 65 (5),1059-1070.
12. Davison, C., Davey Smith, G., and Frankel, S., 1991. Lay epidemiology and the prevention paradox: The implications of coronary candidacy for health education. Sociology of Health & Illness, 13 (1), 1-19.
13. Davison, C., Frankel, S., and Davey Smith, G., 1989. Inheriting heart trouble: The relevance of common-sense ideas to preventive measures. Health Education Research, 4 (3), 329-340.
14. DeSoto, M.C. and Hitlan, R.T., 2007. Blood levels of mercury are related to diagnosis of autism: A reanalysis of an important data set. Journal of Child Neurology, 22 (11), 1308-1311.
15. Epstein, S., 1995. The construction of lay expertise: AIDS activism and the forging of credibility in the reform of clinical trials. Science Technology & Human Values, 20 (4), 408-437.
16. Epstein, S., 2010. The strength of diverse ties: Multiple hybridity in the politics of inclusion and difference in US biomedical research. In: J. Banaszak-Holl et al., eds. Social movements and the transformation of US health care. Oxford: Oxford University Press.
17. rd ed. Cambridge, MA: MIT University Press, 609-630.
18. Furnham, A. and Buck, C., 2003. A comparison of lay-beliefs about autism and obsessive- compulsive disorder. The International Journal of Social Psychiatry, 49 (4), 287-307.
19. Gray, D.E., 1995. Lay conceptions of autism: Parents' explanatory models. Medical Anthropology, 16, 99-118.
20. Hammersley, M. and Atkinson, P., 1994. Ethnography: Principles in practice. 2nd ed. London, New York: Routledge.
21. Happe, F., Ronald, A., and Plomin, R., 2006. Time to give up on a single explanation for autism. Nature Neuroscience, 9, 1218-1220.
22. Hauskeller, C., 2005. Science in touch: Functions of biomedical terminology. Biology and Philosophy, 20 (4), 815-835.
23. Herbert, M.R. and Silverman, C., 2003. Autism and genetics: Genes are not the cause of an emerging epidemic. GeneWatch, 16 (1).
24. Hobson-West, P., 2003. Understanding vaccination resistance: Moving beyond risk. Health, Risk & Society, 5, 273-283.
25. Hobson-West, P., 2007. Trusting blindly can be the biggest risk of all: Organised resistance to childhood vaccination in the UK. Sociology of Health & Illness, 29, 198-215.
26. Hunt, K. and Emslie, C., 2001. Commentary: The prevention paradox in lay epidemiology. Rose revisited. International Journal of Epidemiology, 30 (3), 442-446.
27. Jones, R.K., 2000. The unsolicited diary as a qualitative research tool for advanced research capacity in the field of health and illness. Qualitative Health Research, 10 (4), 555-567.
28. Kee, H.W. and Knox, R.E., 1970. Conceptual and methodological considerations in the study of trust and suspicion. The Journal of Conflict Resolution, 14 (3), 357-366.
29. Kleinman, D.L., 1998. Beyond the science wars: Contemplating the democratization of science. Politics and the Life Sciences, 17 (2), 133-145.
30. Marris, C., et al., 2001. Public perceptions of agricultural biotechnologies in Europe: Final report of the PABE research project [online]. Lancaster, Lancaster University. Available from: http://csec.lancs.ac.uk/archive/pabe/docs.htm [Accessed October 2009].
31. Mercer, L., et al., 2006. Parental perspectives on the causes of an autism spectrum disorder in their children. Journal of Genetic Counseling, 15 (1), 41-50.
32. Murray, S., 2008. Representing autism: Culture, narrative, fascination. Liverpool: Liverpool University Press.
33. Nadesan, M., 2005. Constructing autism: Unravelling the 'truth' and understanding the social. London: Routledge.
34. Nelkin, D., 1975. The political impact of technical expertise. Social Studies of Science, 5 (1), 35-54.
35. Newschaffer, C.J., et al., 2007. The epidemiology of autism spectrum disorders. Annual Review of Public Health, 28, 235-258.
36. Rabeharisoa, V. and Callon, M., 2002. The involvement of patients' associations in research. International Social Science Journal, 54 (171), 57-63.
37. Rabinow, P., 2005. Artificiality and enlightenment: From sociobiology to biosociality. In: J. Inda, ed. Anthropologies of modernity: Foucault, governmentality, and life politics, 91-111. London: Blackwell Publishing.
38. Riessman, C.K., 1993. Narrative analysis. London: Sage.
39. Robinson, K.M., 2001. Unsolicited narratives from the Internet: A rich source of qualitative data. Qualitative Health Research, 11 (5), 706-714.
40. Russell, G., Kelly, S., and Golding, J., 2009. A qualitative analysis of lay beliefs about the aetiology and prevalence of autistic spectrum disorders. Child: Care Health Development, 36 (3), 431-436.
41. Rutter, M., 2005. Incidence of autism spectrum disorders: Changes over time and their meaning. Acta Paediatrica, 94 (1), 2-15.
42. Silverman, C., 2008. Fieldwork on another planet: Social science perspectives on the autism spectrum. Biosocieties, 3 (3), 325-341.
43. Singh, J., Hallmayer, J., and Illes, J., 2007. Interacting and paradoxical forces in neuroscience and society. Nature Reviews Neuroscience, 8 (2), 153-160.
44. Szpir, M., 2006. Tracing the origins of autism: A spectrum of new studies. Environmental Health Perspectives, 114 (7), 412-418.
45. Wakefield, A., et al., 1998. Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. The Lancet, 351 (9103), 637-641.
46. Watterson, A., 1994. Whither lay epidemiology in UK public health policy and practice? Some reflections on occupational and environmental health opportunities. Journal of Public Health, 16 (3), 270-274.
47. Wynne, B., 1980. Technology risk and participation: The social treatment of uncertainty. In: J. Conrad, ed. Society technology and risk, 167-202. London: Academic Press.
48. Wynne, B., 1995. Public understanding of science. In: S. Jasanoff et al., eds. Handbook of science and technology studies, 361-388. Thousand Oaks, CA: Sage.
49. Wynne, B., 1996. May the sheep safely graze? A reflexive view of the expert-lay knowledge divide. In: S. Lash, B. Szerszynski, and B. Wynne, eds. Risk, Environment and Modernity, 44-85. London: Sage.