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Journal of the Royal Society of Medicine logoLink to Journal of the Royal Society of Medicine
. 1992 Jun;85(6):334–337.

Health of a team competing in the 1990 World Solar Car Challenge.

R G Moorhead 1, C Laurence 1
PMCID: PMC1293496  PMID: 1625264

Abstract

The health of a team participating in the 1990 World Solar Car Challenge was recorded for 10 of the 11 race days. Morbidity was collected during daily consultations with the team doctor and the diagnoses were later converted to the ICPC code. Team members' self-perceived health status was also recorded daily, using the Nottingham Health Profile. Team drivers consulted the doctor more often than the support staff and the three full-time drivers had significantly more diagnoses than the support staff. The Nottingham Health Profile scores on sleep, energy and emotional reactions showed correlations between higher minimum temperatures and sleep for all team members and for the three full-time drivers, there were significant correlations between increasing maximum temperatures and emotional reaction scores. The morbidity records and perceived health scores reflect the conditions of the race. Twenty-five per cent of full-time driver consultations dealt with skin, eyelid or finger infections probably caused by the lack of washing water. The scores on sleep and emotional reactions were affected by temperature and previous research reports degradation in concentration and dual tasks with increasing temperature. This may account for the difficulty some drivers had in continuing their shifts. Close supervision of the drivers and the recording of their perceived health status helped reduce the health problems of the team.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Attia M., Engel P., Hildebrandt G. Quantification of thermal comfort parameters using a behavioural indicator. Physiol Behav. 1980 May;24(5):901–909. doi: 10.1016/0031-9384(80)90148-1. [DOI] [PubMed] [Google Scholar]
  2. Attia M., Engel P., Hildebrandt G. Quantification of thermal comfort parameters using a behavioural indicator. Physiol Behav. 1980 May;24(5):901–909. doi: 10.1016/0031-9384(80)90148-1. [DOI] [PubMed] [Google Scholar]
  3. Baron R. A., Ransberger V. M. Ambient temperature and the occurrence of collective violence: the "long, hot summer" revisited. J Pers Soc Psychol. 1978 Apr;36(4):351–360. doi: 10.1037//0022-3514.36.4.351. [DOI] [PubMed] [Google Scholar]
  4. Baum F. E., Cooke R. D. Community-health needs assessment: use of the Nottingham health profile in an Australian study. Med J Aust. 1989 May 15;150(10):581, 584, 587-90. doi: 10.5694/j.1326-5377.1989.tb136696.x. [DOI] [PubMed] [Google Scholar]
  5. Bell P. A. Effects of heat, noise, and provocation on retaliatory evaluative behavior. J Soc Psychol. 1980 Feb;110(FIRST):97–100. doi: 10.1080/00224545.1980.9924227. [DOI] [PubMed] [Google Scholar]
  6. Carlsmith J. M., Anderson C. A. Ambient temperature and the occurrence of collective violence: a new analysis. J Pers Soc Psychol. 1979 Mar;37(3):337–344. doi: 10.1037//0022-3514.37.3.337. [DOI] [PubMed] [Google Scholar]
  7. Enander A. E., Hygge S. Thermal stress and human performance. Scand J Work Environ Health. 1990;16 (Suppl 1):44–50. doi: 10.5271/sjweh.1823. [DOI] [PubMed] [Google Scholar]
  8. Griffitt W. Environmental effects on interpersonal affective behavior: ambient effective temperature and attraction. J Pers Soc Psychol. 1970 Jul;15(3):240–244. doi: 10.1037/h0029432. [DOI] [PubMed] [Google Scholar]
  9. Griffitt W., Veitch R. Hot and crowded: influences of population density and temperature on interpersonal affective behavior. J Pers Soc Psychol. 1971 Jan;17(1):92–98. doi: 10.1037/h0030458. [DOI] [PubMed] [Google Scholar]
  10. Hunt S. M., McKenna S. P., McEwen J., Backett E. M., Williams J., Papp E. A quantitative approach to perceived health status: a validation study. J Epidemiol Community Health. 1980 Dec;34(4):281–286. doi: 10.1136/jech.34.4.281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Hunt S. M., McKenna S. P., Williams J. Reliability of a population survey tool for measuring perceived health problems: a study of patients with osteoarthrosis. J Epidemiol Community Health. 1981 Dec;35(4):297–300. doi: 10.1136/jech.35.4.297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Jenkinson C., Fitzpatrick R., Argyle M. The Nottingham Health Profile: an analysis of its sensitivity in differentiating illness groups. Soc Sci Med. 1988;27(12):1411–1414. doi: 10.1016/0277-9536(88)90207-9. [DOI] [PubMed] [Google Scholar]
  13. Kind P., Carr-Hill R. The Nottingham health profile: a useful tool for epidemiologists? Soc Sci Med. 1987;25(8):905–910. doi: 10.1016/0277-9536(87)90260-7. [DOI] [PubMed] [Google Scholar]
  14. Muza S. R., Pimental N. A., Cosimini H. M., Sawka M. N. Portable, ambient air microclimate cooling in simulated desert and tropic conditions. Aviat Space Environ Med. 1988 Jun;59(6):553–558. [PubMed] [Google Scholar]
  15. Persinger M. A. Lag responses in mood reports to changes in the weather matrix. Int J Biometeorol. 1975 Jun;19(2):108–114. doi: 10.1007/BF01463866. [DOI] [PubMed] [Google Scholar]

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