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What affects your MS? Responses to an anonymous, Internet-based epidemiological survey


Simmons, R and Ponsonby, AL and Van der Mei, IAF and Sheridan, P, What affects your MS? Responses to an anonymous, Internet-based epidemiological survey, Multiple Sclerosis, 10, (2) pp. 202-211. ISSN 1352-4585 (2004) [Refereed Article]

DOI: doi:10.1191/1352458504ms1006oa


Evolving information technology has raised the possibility of new methods of data collection in multiple sclerosis (MS) research. An anonymous, self-report, Internet-based survey was developed, which asked people with MS their opinion on how various extrinsic factors affected their condition. From September 2001 to July 2002, a total of 2529 people completed the questionnaire. The demographic and clinical profiles of the anonymous respondents indicated that most were likely to have MS. Common factors reported as beneficial were cannabis, cold baths, meditation and dietary factors. Common adverse factors reported were high stress, exposure to high temperatures and viral infections. There was an increasing report of high temperatures as being adverse with increasing respondent age (test for trend, P < 0.001). The adverse report of high temperatures correlated significantly with the report of strong sunlight apparently making MS worse (r = 0.35, P < 0.0001). In Australia, high temperatures were more likely to be reported as adverse in warmer, lower latitude regions. The association between strong sunlight as adverse and age or region did not persist after adjustment for high temperatures. Thus, this apparent adverse factor appeared to relate to solar heat, not solar light. People with MS may risk vitamin D deficiency because of sun avoidance due to heat-related fatigue or intolerance. This is of clinical significance not only for bone health but because vitamin D may have beneficial immunomodulatory properties. The present study provides new information from people with MS on factors that may influence symptoms or clinical course. This information will now be used in the design of formal epidemiological cohort studies. © Arnold 2004.

Item Details

Item Type:Refereed Article
Research Division:Health Sciences
Research Group:Epidemiology
Research Field:Epidemiology not elsewhere classified
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Ponsonby, AL (Professor Anne Ponsonby)
UTAS Author:Van der Mei, IAF (Professor Ingrid van der Mei)
ID Code:29665
Year Published:2004
Web of Science® Times Cited:56
Deposited By:Menzies Centre
Deposited On:2004-08-01
Last Modified:2007-05-29

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