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The Airwave Health Monitoring Study

About the cohort

Start date: June 2004
Age at recruitment: 17- 80
Sample size at recruitment: 53,280
Estimated current sample size: 53,265

The Airwave Health Monitoring Study was established to evaluate possible health risks associated with the use of TETRA, a digital communication system used by the police forces and other emergency services. It is a long-term observational study following up the health of police officers and staff across Great Britain, with the ability to monitor both cancer and non-cancer health outcomes through data linkage. 53,280 participants have been recruited between June 2004 and March 2015 with a response rate averaging 50% of employees in participating forces. At baseline, participants completed an enrolment questionnaire (sent via routine administration or the occupational health service), or a comprehensive health screening performed locally, or both. Around 85% (N=45,533) of the sample received a health screening. Clinical and biological measurements were taken, blood and urine samples collected. Participants were 40 years old on average, mostly men (63%) and white British (85%). Screened participants have now been followed-up for 7.5 years on average. A second assessment of participants living in England started in November 2015 and is ongoing.

Core funders

The Study is funded by the Home Office (grant number 780-TETRA) with additional support from the National Institute for Health Research (NIHR) Imperial College Healthcare NHS Trust (ICHNT) and Imperial College Biomedical Research Centre (BRC) (grant number BRC-P38084).

Contact details

Website: https://www.police-health.org.uk/

Principal Investigator: Professor Paul Elliott

Contact address:

Dr Anne-Claire Vergnaud
Scientific Manager

Imperial College – Department of Epidemiology and Biostatistics
St Mary’s Campus – Medical Building
Norfolk Place
London
W2 1PG

Tel: 020 759 42 556

Email: a.vergnaud@imperial.ac.uk

Page last updated: 3 Aug 2017

Categories

  • Gender: Male, Female
  • Sample size: 50,000-99,999
  • Age: 10 to 19, 20 to 39, 40 to 59, 60 to 100
  • Anthropometric: Height, Weight, Waist circumference, Hip circumference, Blood pressure
  • Physical: Cardiovascular, Respiratory, Reproductive
  • Psychological: Mental health, Cognitive function
  • Lifestyle: Smoking, Physical activity, Dietary habits, Alcohol
  • Socio-economic: Occupation, Finances, Family circumstances, Education, Ethnic group, Marital status, Social support
  • Biological samples: Blood, Urine