The Basics

The Airwave Tissue Bank is an epidemiological study of police officers and staff in Britain. It is managed and run by the Department of Epidemiology & Biostatistics at Imperial College London, and we believe it to be the only large-scale cohort study of police employees anywhere in the world.

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The cohort has been richly phenotyped, flagged to routine records, and has a substantial biobank of blood and urine samples. It provides an excellent and unique resource to study the genetic, metabolic, occupational and lifestyle factors associated with mental health and cognitive performance among a predominantly male and young adult workforce with a well-defined organisational hierarchy.

The cohort was established in 2004 to investigate possible long-term health effects associated with use of TETRA, the radio system used by the police service. Mean age at recruitment was 39.8 y (σ = 16.0) and ranged from 16 - 80 y. The mean duration of follow-up at January 2025 is 15.2 y (σ = 2.9). It includes a group – younger men aged between twenty and forty years – who are particularly under-represented in the UK research portfolio, who have proven hard to engage in primary prevention, and have least routine contact with primary care. Some further statistics on the cohort are set out in the table below.

Recruitment was completed in 2015, and over the next four years a series of papers were published to evaluate the effect of TETRA on health. Whilst our overall assessment was that insufficient time has passed to form any final conclusions, we continue to follow-up the cohort through national registers, via follow-up screening and self-administered surveys.

We have also successfully re-purposed the cohort to support broader research goals into common diseases affecting this well-defined occupational group. For example, the cohort made a significant contribution to COVID-19 research, by providing 5985 volunteers for studies into novel methods for diagnosis of SARS-CoV-2 infection. We are core members of Dementia Platform UK (DPUK), UK Longitudinal Linkage Collaboration, and are listed on eight other directories supporting researchers worldwide.

Researchers can apply to our Access Committee for access to samples and data in order to carry out their own research projects. As members of the DPUK public-private partnership, researchers can build a virtual cohort of participants from the many cohorts registered with DPUK. Participants can be selected from their genotype and / or phenotype, and participants may be invited to join researchers' own projects or clinical trials.

Summary of Assets

Asset

N (participants)

Participants, net of withdrawals

53,244

Clinic-based measurements – baseline

45,594

Clinic-based measurements – follow-up

18,317

Cognitive first assessment

37,122

Cognitive follow-up assessment

11,489

7-day food diaries – baseline

23,388

7-day food diaries – follow-up

11,626

Sickness absence (HR departments)

32,102

Estimated TETRA usage

48,518

ECGs – baseline

45,381

ECGs – follow-up

15,832

GWAS

20,193

Exome array

1,947

Methylation array

920

Metabolomics (NMR, mass spectrometry)

6,242

Blood, urine & DNA samples

45,655

Proteomics

4,972

Biological Samples

When participants attend clinics, we generally collect a sample of blood and urine in a variety of collection tubes. Following biochemistry and haematology assays, which are carried out generally within 24-hours, we store the remaining material in cryogenic conditions for more detailed assays at a later date. These have included genetic and metabolomic assays, with proteomics planned.

The following is a summary of the biological material available according to our inventories as of March 2026. We are currently conducting a stock-take and rationalization of the collection and the numbers presented here will change over the course of 2026. If you are interested in making use of the samples, please contact us.

Collection Tube Material Aliquots Baseline Follow-Up Participants Boxes Collected From Collected Till
ACD Lymphocytes 107,216  30,870  6,936  32,579  790  Aug 2008 Mar 2020
Card Dry Blood Spot 5,114  1  5,112  5,112  80  May 2012 Jul 2020
EDTA DNA 38,240  20,424  100  20,366  476  Jul 2006 Nov 2016
  Plasma 123,696  44,889  21,844  45,045  13,515  Jul 2004 Aug 2023
  Red Blood Cells 92,426  34,339  16,158  37,194  9,458  Jul 2004 Feb 2021
  White Blood Cells 46,646  25,120  20,972  33,687  9,958  Jul 2004 Feb 2021
  Whole Blood 7,188  -    1,520  1,520  288  Jan 2021 Aug 2023
Lithium Heparin Plasma 106,884  43,074  15,897  43,155  12,311  Jul 2004 Aug 2023
  Red Blood Cells 39,721  16,626  -    16,273  3,469  Jul 2004 Nov 2009
  White Blood Cells 36,392  32,998  2  32,410  6,996  Jul 2004 Jul 2016
Swab Nasal Mucus 5,173  -    5,173  5,172  1  Jun 2020 Jul 2020
Sodium Citrate Plasma 47,703  43,963  2  43,134  9,233  Jul 2004 Jul 2016
  Red Blood Cells 19,976  16,656  -    16,301  3,481  Jul 2004 Nov 2009
  White Blood Cells 47,164  43,547  -    42,740  9,161  Jul 2004 Mar 2015
SST Serum 194,524  44,850  21,916  44,458  12,454  Jul 2004 Aug 2023
Salivabio Kit Saliva 787  -    784  784  10  Jan 2021 Feb 2021
Tempus Tube RNA 281  156  7  161  7  Dec 2006 Feb 2020
  Whole Blood 50,065  4,701  21,771 22,327 3,265 Nov 2012 Aug 2023
Pot Urine 190,352  41,277  14,359  41,377  10,864  Jul 2004 Aug 2023

Descriptive Statistics

In the tables below, participants with no information on gender (N=17) are excluded. Means (SD) are presented for age and percentages are presented for all other variables; n refers to the number of participants for whom each variable is available.

Means (SD) and percentages are presented for continuous and categorical variables respectively; n refers to the number of participants for whom each variable is available. The following definitions apply:

  • SBP: systolic blood pressure.
  • DBP: diastolic blood pressure.
  • HbA1c: glycosylated haemoglobin.
  • GCSE: General Certificate of Secondary Education (usually taken at 16-years)
  • Hypertension is defined as systolic blood pressure > 140 mmHg or diastolic blood pressure > 90 mmHg.

Demographics

Metric Women Men Total
N (%) 19,567 (36.8) 33,661 (63.3) 53,228
Age (years) (n = 53,167) 38.5 (9.4) 40.6 (8.9) 39.8 (9.1)
Marital status (%) (n = 40,889)      
Married 46.7 68.6 60.5
Cohabiting 20.8 15.1 17.2
Single 18.7 7.8 11.9
Divorced/separated 10.3 6.8 8.1
Other 3.4 1.7 2.3
White (n = 38,725) 95 94.6 94.8
Black (n = 441) 1.5 0.8 1.1
South Asian (n = 547) 1.3 1.4 1.3
Mixed (n = 454) 1.1 1.1 1.1
Other (n = 699) 1.1 2 1.7
Education (%) (n = 40,889)      
Left school before taking GCSEs 3.3 4 3.8
GCSE or equivalent 27.6 31.1 29.8
Vocational qualification 7.1 7 7
A-levels or equivalent 31.1 32.1 31.7
Bachelor degree or equivalent 23.1 20.1 21.2
Postgraduate qualifications 7.9 5.7 6.5
Rank (%) (n = 37,251)      
Police staff 47.5 16.4 27.9
Police Constable/Sergeant 46.6 72 62.6
Inspector/Chief Inspector 3.3 10 7.5
Other 2.7 1.6 2
Smoking status (%) (n = 41,345)      
Non-smoker 65.2 68.5 67.3
Past smoker 22.7 23 22.9
Current smoker 12.1 8.5 9.8

Age-Sex Distribution at Baseline

Mean age at recruitment was 39.8 (s.d. 9.1; range 16 to 80) years; mean duration of follow-up to date is 13.8 (s.d. 2.9) years.

Ethnicity and Location

For those with ethnicity data, 94.8% self-report as white, 1.3% South Asian, 1.1% Black, 1.1% mixed ethnicity, 1.7% other, reflecting the demography of the police force at that time. 70% of the cohort were recruited in England, 15% in Scotland and 15% in Wales.

Clinical and Biological Measurements

Metric Women Men Total
N (%) 17,059 (36.9%) 29,165 (63.1%) 46,224
BMI (kg/m2) (n = 45,471) 26.0 (4.7) 28.0 (3.7) 27.2 (4.2)
BMI < 25 kg/m2 (%) 49.3 20.5 31.1
25 kg/m2 < BMI < 30 kg/m2 (%) 33.8 54.4 46.8
BMI > 30 kg/m2 (%) 16.9 25.1 22.1
SBP (mmHg) (n = 45,483)  122.2 (14.1) 134.8 (13.7) 130.1 (15.1)
DBP (mmHg) (n = 45,483) 76.1 (9.5) 81.2 (9.9) 79.3 (10.1)
Hypertension 12.9 34.9 26.8
Total cholesterol (mmol/l) (n = 45,186) 5.1 (1.0) 5.4 (1.1) 5.3 (1.0)
Total cholesterol > 5 mmol/l 53.5 64.7 60.6
HbA1c % (n = 45,019) 5.6 (0.6) 5.6 (0.6) 5.6 (0.6)
HbA1c % < 6 (%) 81.2 85.5 83.9
6 < HbA1c % < 6.5 (%) 14.9 11.4 12.7
HbA1c % > 6.5 (%) 3.9 3.1 3.4
Self-reported diabetes diagnosis (n = 41,100) (%) 0.8 1 0.9

Education, Marital Status, Rank & Smoking

The graph below is for men and women across categories by education, marital status, rank and smoking among participants who attended a clinic visit at baseline.

Intervals Between Follow-up Screening Visits

The following table shows some descriptive statistics on the intervals (years) between successive follow-up screens.

Visit Shortest Median Longest Mean Std Dev. N
2 0.03 8.03 17.63 8.08 3.47 18,261
3 0.07 3.89 15.84 3.65 2.43 3,323
4 0.04 1.78 10.67 2.13 1.80 434
5 0.26 0.64 4.48 1.41 1.39 41
6 0.61 0.61 0.61 0.61 - 1