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British Journal of Cancer logoLink to British Journal of Cancer
. 2008 Aug 19;99(5):822–829. doi: 10.1038/sj.bjc.6604564

Occupational exposure to asbestos and mortality among asbestos removal workers: a Poisson regression analysis

G Frost 1,*, A-H Harding 1, A Darnton 2, D McElvenny 2,3, D Morgan 1
PMCID: PMC2528146  PMID: 18728672

Abstract

The asbestos industry has shifted from manufacture to stripping/removal work. The aim of this study was to investigate early indications of mortality among removal workers. The study population consisted of 31 302 stripping/removal workers in the Great Britain Asbestos Survey, followed up to December 2005. Relative risks (RR) for causes of death with elevated standardised mortality ratios (SMR) and sufficient deaths were obtained from Poisson regression. Risk factors considered included dust suppression technique, type of respirator used, hours spent stripping, smoking status and exposure length. Deaths were elevated for all causes (SMR 123, 95% CI 119–127, n=985), all cancers including lung cancer, mesothelioma, and circulatory disease. There were no significant differences between suppression techniques and respirator types. Spending more than 40 h per week stripping rather than less than 10, increased mortality risk from all causes (RR 1.4, 95% CI 1.2–1.7), circulatory disease and ischaemic heart disease. Elevated mesothelioma risks were observed for those first exposed at young ages or exposed for more than 30 years. This study is a first step in assessing long-term mortality of asbestos removal workers in relation to working practices and asbestos exposure. Further follow-up will allow the impact of recent regulations to be assessed.

Keywords: asbestos, mortality, Great Britain, occupational exposure, asbestos removal


Asbestos is a naturally occurring mineral with properties of heat and flame resistance, insulation, flexibility and strength, which made asbestos popular in the early twentieth century, especially in cars, buildings and many domestic products. It was not until the mid-1920s that a link with disease started to be discussed. This led to implementation of the first legislation in Britain in 1931 to reduce occupational exposure of asbestos workers (Bartrip, 2004).

Subsequent regulations, importation bans and the prohibition of asbestos installation changed the nature of the industry. Previously, most asbestos workers were employed in manufacture, but this has now shifted so that those employed in stripping/removal occupations make up the majority (Harding and Wegerdt, 2006).

The key tasks involved in asbestos removal include preparing the work area, removing the substance, bagging the debris, and cleaning up the site area (Williams et al, 2007). These workers therefore cause severe disruption to the fibres and come into contact with various forms. Working practices, including removal techniques and personal protective equipment, have been developed to reduce the exposure of workers to asbestos (Ewing and Spain, 1984). It has even been suggested that the stripping/removal industry has become so over-regulated that workers are unlikely to experience elevated exposure to airborne asbestos (Lange et al, 2006; Williams et al, 2007).

We have investigated the association between mortality and various risk factors associated with asbestos exposure and the stripping/removal industry.

Materials and methods

The Great Britain Asbestos Survey was established in 1971 to monitor mortality among workers in the asbestos manufacturing industry. Workers were initially invited to participate in the survey with voluntary medical examinations at 2 yearly intervals. Under the Asbestos Licensing Regulations (ALR) 1983 all individuals working with certain kinds of asbestos were required to undergo statutory examinations including pre-employment examinations. At this time substantial numbers of asbestos strippers were recruited into the survey. Our analysis was restricted to the sub-cohort of workers only ever employed as asbestos strippers.

At each medical examination workers completed the survey questionnaire, which included details of the date of first occupational exposure to asbestos and smoking habits. After the introduction of the Control of Asbestos at Work Regulations (CAWR) 1987, the questionnaire was changed to collect more detailed information about asbestos exposures. For removal workers this included information on the type of dust suppression technique used, the kind of respirator used and the weekly hours spent in a stripping enclosure while removal was going on.

Survey participants were flagged for death registrations at the National Health Service Central Register (NHSCR). Data collected at follow-up medical examinations were used to update smoking status and job details. Deaths occurring until December 2005 were included in the analysis. Mesothelioma deaths were coded according to the International Classification of Diseases revision 10 (ICD-10), and so deaths from mesothelioma included in the analysis occurred during 2001 to 2005 only.

Statistical analysis

Standardised mortality ratios (SMR) were calculated for all workers in the survey only ever employed in asbestos removal work (n=52 387). The expected number of deaths was calculated using the 5-year age-, period- and sex-specific mortality rates for England and Wales, and for Scotland. Person-years at risk were calculated from the date of the first medical examination. The SMRs were calculated using OCMAP-PLUS V4.00 (Release 01e) (Marsh et al, 2004).

Poisson regression was employed to estimate the relative risks (RR) of mortality among stripping/removal workers. Only those workers who had completed the more recent detailed questionnaire were included in the analysis (n=31 302). The dependent variable was the number of deaths, with the person-years at risk as offset variable. Person-years were calculated from the date of first occupational exposure to asbestos as the starting date, and date of death, loss to follow-up or the end of the study period as the ending date. Only causes of death that had significantly elevated SMRs and sufficient deaths (greater than 20) were analysed using Poisson regression.

Relative risks were calculated with adjustment for age (5-year classes, 25–70+ years), calendar period (5-year periods, 1990–2000+) and sex. The covariates of interest were the stripping/removal-specific variables (dust suppression method, respirator type used, and weekly hours spent stripping), smoking status, age at first exposure, length of time in the survey (short- or long-term workers), length of exposure to asbestos and time of first exposure.

Short-term workers were participants who attended only one medical examination, with long-term workers having attended two or more. The dust suppression method was classified into the two techniques of wet and dry removal. There were six categories for respirator type: positive pressure mask, air stream helmet, full-face unpowered mask, half-face mask, minimal and none. Weekly hours spent stripping was summarised in categories (0–9, 10–19, 20–29, 30–39 and 40+ h). Workers who attended more than one examination were allocated to the suppression method and the respirator type they had recorded most often. Categories of ‘both’ suppression techniques and ‘mixed’ respirator use were created to allow for ties to avoid the introduction of any bias by allocating these events to a particular category. Weekly hours spent stripping was taken as the average recorded over all of the worker's examinations.

All variables were entered as a series of indicator variables, the significance of which was tested using the likelihood-ratio test of goodness-of-fit (significance, P⩽0.05). Where possible, groupings were combined to eliminate categories with five or less observed cases. All analyses were carried out in Stata 9 (StataCorp, 2005).

Results

In total, 52 387 asbestos removal workers took part in the survey between 1971 and 2005. Ninety-eight percent of workers were traced for follow-up with the NHSCR. Altogether 31 302 asbestos removal workers, who attended between one and 19 examinations during the study period, were included in the analysis (Table 1). Among the removal workers there were 985 deaths including 384 cancers, 115 lung cancers, and 23 mesotheliomas (Table 2). Statistically significant excesses of deaths from all causes, all cancers, and cancers of the rectum, larynx, lung, peritoneum, pleura and kidney, and mesothelioma were observed (Table 2). There were also significant excesses of deaths from circulatory disease, cerebrovascular disease, respiratory disease and asbestosis (Table 2).

Table 1. Characteristics of the asbestos removal workers in the survey and for those included in the analysis (1971–2005).

  All removal workers
Analysed workers
  Number % Number %
Total 52 387 100.0 31 302 100.0
Main stripping method
 Wet 17 634 33.7 17 634 56.3
 Dry 9008 17.2 9008 28.8
 Both 1413 2.7 1413 4.5
 Missing 24 332 46.5 3247 10.4
         
Main respirator type
 Positive pressure mask 21 130 40.3 21 130 67.5
 Airstream helmet 60 0.1 60 0.2
 Full face unpowered mask 5195 9.9 5195 16.6
 Half face mask 635 1.2 635 2.0
 Minimal 298 0.6 298 1.0
 None 80 0.2 80 0.3
 Mixed 1443 2.8 1443 4.6
 Missing 23 546 45.0 2461 7.9
         
Average weekly hours spent stripping
 <10 10 641 20.3 10 641 34.0
 10− 3888 7.4 3888 12.4
 20− 5333 10.2 5333 17.0
 30− 4844 9.3 4844 15.5
 40+ 4786 9.1 4786 15.3
 Missing 22 895 43.7 1810 5.8
         
Smoking status at last examination
 Never smokers 13 033 24.9 7924 25.3
 Current smokers 29 320 56.0 17 979 57.4
 Former smokers 8966 17.1 4889 15.6
 Missing 1068 2.0 510 1.6
         
Age at first exposure (years)
 <20 10 261 19.6 4642 14.8
 20− 21 894 41.8 13 573 43.4
 30− 12 262 23.4 8135 26.0
 40− 5784 11.0 3626 11.6
 50+ 2186 4.2 1326 4.2
 Missing 0 0.0 0 0.0
         
Length of time in the survey
 Short-term 34 165 65.2 17 898 57.2
 Long-term 18 222 34.8 13 404 42.8
 Missing 0 0.0 0 0.0
         
Length of exposure (years)
 <10 37 887 72.3 23 863 76.2
 10− 7257 13.9 4096 13.1
 20− 4246 8.1 2024 6.5
 30− 2164 4.1 926 3.0
 40+ 833 1.6 393 1.3
 Missing 0 0.0 0 0.0
         
Time of first exposure
 Pre-ALR 18 055 34.5 5339 17.1
 Post-ALR 34 332 65.5 25 963 82.9
 Missing 0 0.0 0 0.0

Table 2. Standardised mortality ratios (SMR) for all asbestos removal workers in the survey and for those included in the analysis (1971–2005).

  All removal workers
Analysed workers
  Deaths SMR Deaths SMR
Cause of death (95% CI) (95% CI)
All causes 3165 122.9** 985 111.3**
  (118.7–127.3) (104.4–118.4)
 All MN 1274 173.1** 384 169.2**
  (163.7–182.9) (152.7–187.0)
  MN of lip, oral cavity and pharynx 19 94.0 6 83.7
  (56.6–146.9) (30.7–182.2)
  MN of oesophagus 42 88.2 16 104.2
  (63.5–119.2) (59.6–169.2)
  MN of stomach 49 133.7 18 176.4*
  (98.9–176.8) (104.5–278.8)
  MN of colon 62 127.9 17 119.2
  (98.1–163.9) (69.4–190.9)
  MN of rectum 43 169.0** 15 207.1*
  (122.3–227.6) (115.9–341.5)
  MN of liver (primary) 20 126.6 9 167.8
  (77.3–195.5) (76.7–318.6)
  MN of larynx 17 212.3** 8 322.9**
  (123.6–339.8) (139.4–636.1)
  MN trachea, bronchus & lung 393 200.5** 115 215.6**
  (181.2–221.4) (178.0–258.7)
  MN of peritoneum 38 4568.9** 12 4367.8**
  (3233.2–6271.2) (2257.0–7629.8)
  MN of pleura 35 1149.3** 10 1332.8**
  (800.5–1598.4) (639.1–2451.1)
  Mesotheliomaa 69 808.2** 23 808.2**
  (628.8–1022.8) (512.3–1212.7)
  MN of ovary 0 0
  (0.0–533.0) (0.0–7092.9)
  MN of kidney 29 160.1* 13 229.0*
  (107.2–229.9) (121.9–391.6)
  MN of bladder 18 94.2 3 61.6
  (55.8–148.8) (12.7–180.2)
  MN of lymphatic and haematopoietic tissue 80 103.9 24 86.2
  (82.4–129.3) (55.2–128.2)
 Circulatory disease 981 114.0** 258 102.0
  (107.0–121.4) (89.9–115.2)
  Ischaemic heart disease 665 113.3** 171 102.4
  (104.9–122.3) (87.7–119.0)
  Cerebrovascular disease 147 125.0* 41 118.3
  (105.6–146.9) (84.9–160.5)
  Respiratory disease 222 128.0** 44 88.8
  (111.7–146.0) (64.5–119.2)
  Asbestosisb 22 5753.4** 3 3849.6**
  (3605.6–8710.7) (794.3–11249.8)
         

CI=confidence interval.

*Significant at P⩽0.05; **significant at P⩽0.01.

a

ICD-10, post-2001.

b

Asbestosis determined by underlying cause of death.

The causes of death with significantly elevated SMRs and sufficient deaths, and therefore included in the Poisson regression analyses, were all causes, all cancers, cancer of the trachea, bronchus and lung, mesothelioma, circulatory disease, ischaemic heart disease, cerebrovascular disease and respiratory disease (Table 2). The characteristics of the asbestos removal workers are described in Table 1. The relative risks obtained using Poisson regression by cause of death and by risk factor are summarised in Table 3.

Table 3. Relative risks (RRs) of mortality for stripping/removal workers, using Poisson regression analyses.

  All causes
All MN
MN Trachea, bronchus & lung
  Cases RRa (95% CI) LR test (d.f.) Cases RRa (95% CI) LR test (d.f.) Cases RRa (95% CI) LR test (d.f.)
Main stripping method     4.03 (2)     2.35 (2)     2.71 (2)
 Wetc 397 1.0   141 1.0   48 1.0  
 Dry 409 1.1 (0.9–1.2)   169 1.2 (0.9–1.5)   39 0.8 (0.5–1.2)  
 Both 48 0.8 (0.6–1.1)   21 1.0 (0.6–1.6)   13 1.3 (0.7–2.7)  
Main respirator type     2.82 (6)   10.20 (6)       6.28 (6)
 Positive pressure maskc 664 1.0   245 1.0   70 1.0  
 Airstream helmet 4   1   1  
 Full face unpowered mask 127 1.0 (0.8–1.2)   55 1.1 (0.8–1.5)   16 1.1 (0.6–1.8)  
 Half face mask 18 0.8 (0.5–1.3)   4   1  
 Minimal 14 0.7 (0.4–1.3)   5   2  
 None 2   2   1  
 Mixed 51 1.1 (0.8–1.5)   25 1.4 (0.9–2.2)   11 1.7 (0.9–3.5)  
Weekly hours spent stripping     14.97 (4)**     1.00 (4)     0.87 (4)
 <10c 483 1.0   222 1.0   66 1.0  
  10− 74 1.0 (0.8–1.2)   32 1.0 (0.7–1.5)   8 0.9 (0.4–1.8)  
  20− 125 1.1 (0.9–1.4)   48 1.1 (0.8–1.5)   12 1.0 (0.5–1.8)  
  30− 124 1.3* (1.0–1.5)   33 0.9 (0.6–1.3)   9 0.9 (0.4–1.7)  
  40+ 163 1.4** (1.2–1.7)   44 1.0 (0.7–1.4)   15 1.2 (0.7–2.1)  
Smoking status   112.42 (2)**       41.07 (2)**     67.66 (2)**
 Never smokersc 118 1.0   38     1 1.0  
 Current smokers 622 2.5** (2.0–3.0)   216 1.0   86 43.0** (6.0–305.8)  
 Former smokers 225 1.5** (1.2–1.9)   125 2.8** (1.9–3.9)   26 16.0** (2.2–118.4)  
Age at first exposure (years)   14.80 (4)**       2.2** (1.5–3.1)     3.22 (4)
 <20c 184 1.0   91 1.0   21 1.0  
 20− 278 1.1 (0.9–1.3)   81 0.9 (0.7–1.2)   18 1.0 (0.5–1.8)  
 30− 193 0.9 (0.8–1.1)   70 0.8 (0.6–1.1)   23 1.2 (0.7–2.1)  
 40− 211 1.1 (0.9–1.3)   84 0.7* (0.5–1.0)   33 1.2 (0.7–2.0)  
 50+ 119 0.7** (0.6–0.9)   58 0.6** (0.4–0.8)   20 0.7 (0.4–1.3)  
Length of time in the survey     0.01 (1)     14.81 (1)**     5.13 (1)*
 Short-termc 419 1.0   116 1.0   33 1.0  
 Long-term 599 1.0 (0.9–1.1)   268 1.5** (1.2–1.9)   82 1.6* (1.1–2.4)  
Length of exposure (years)     16.29 (4)**     18.61 (4)**     6.88 (4)
 <10c 553 1.0   166 1.0   49 1.0  
 10− 161 1.0 (0.8–1.2)   60 1.1 (0.8–1.5)   26 1.6 (1.0–2.5)  
 20− 88 0.8 (0.7–1.0)   45 1.1 (0.8–1.5)   11 0.8 (0.4–1.6)  
 30− 94 1.0 (0.8–1.2)   61 1.4* (1.1–1.9)   14 1.0 (0.5–1.8)  
 40+ 89 1.5** (1.2–2.0)   52 2.1** (1.5–2.9)   15 1.7 (0.9–3.2)  
Time of first exposure     0.00 (1)     4.02 (1)*     1.43 (1)
 Pre-ALRc 430 1.0   217   1.0 66 1.0  
 Post-ALR 555 1.0 (0.9–1.1)   167   0.8* (0.7–1.0) 49 0.8 (0.5–1.2)  
  Mesotheliomab
Circulatory disease
Ischaemic heart disease
  Cases RRa (95% CI) LR test (d.f.) Cases RRa (95% CI) LR test (d.f.) Cases RRa (95% CI) LR test (d.f.)
Main stripping method     3.25 (2)     6.81 (2)*     8.61 (2)*
 Wetc 12 1.0   109 1.0   77 1.0  
 Dry 10 0.9 (0.4–2.1)   107 1.0 (0.7–1.3)   66 0.9 (0.6–1.2)  
 Both 0   7 0.4* (0.2–0.9)   3  
Main respirator type     10.14 (6)     1.54 (6)     2.24 (6)
 Positive pressure maskc 20 1.0   172 1.0   110 1.0  
 Airstream helmet 0   1   1  
 Full face unpowered mask 1   34 1.0 (0.7–1.4)   24 1.1 (0.7–1.7)  
 Half face mask 0   7 1.1 (0.5–2.5)   5  
 Minimal 0   4   2  
 None 1   0   0  
 Mixed 1   12 1.0 (0.5–1.7)   9 1.2 (0.6–2.3)  
Weekly hours spent stripping     2.29 (1)     12.34 (4)*     11.42 (4)*
 <10c 17 1.0   133 1.0   86 1.0  
 10− 6 0.5 (0.2–1.3)   16 0.8 (0.5–1.4)   12 1.0 (0.5–1.8)  
 20−     28 1.1 (0.7–1.6)   16 0.9 (0.6–1.6)  
 30−     32 1.4 (0.9–2.1)   24 1.6* (1.0–2.6)  
 40+     47 1.7** (1.2–2.4)   32 1.9** (1.2–2.8)  
Smoking status     2.27 (2)     33.41 (2)**     35.14 (2)**
 Never smokersc 5 1.0   38 1.0   19 1.0  
 Current smokers 7 0.7 (0.2–2.3)   161 2.1** (1.4–2.9)   114 2.9** (1.8–4.7)  
 Former smokers 11 1.5 (0.5–4.4)   53 0.9 (0.6–1.4)   34 1.2 (0.7–2.1)  
Age at first exposure (years)     22.12 (1)**     12.38 (4)*     12.71 (4)*
 <20c 14 1.0   44 1.0   33 1.0  
 20− 9 0.1** (0.1–0.3)   41 0.8 (0.5–1.2)   19 0.5* (0.3–0.9)  
 30−     51 1.0 (0.7–1.6)   34 0.9 (0.6–1.5)  
 40−     78 1.5* (1.0–2.2)   54 1.3 (0.9–2.1)  
 50+     44 0.9 (0.6–1.4)   31 0.9 (0.5–1.5)  
Length of time in the survey     8.23 (1)**     0.00 (1)     0.60 (1)
 Short-termc 3 1.0   102 1.0   72 1.0  
 Long-term 20 4.5* (1.3–16.0)   156 1.0 (0.8–1.3)   99 0.9 (0.6–1.2)  
Length of exposure (years)     18.59 (1)**     7.19 (4)     10.39 (4)*
 <10c     141 1.0   92 1.0  
 10−     48 1.0 (0.7–1.4)   36 1.2 (0.8–1.7)  
 20− 9d 1.0   27 0.8 (0.5–1.2)   14 0.6 (0.3–1.0)  
 30− 14 7.3** (2.5–21.6)   20 0.6* (0.4–0.9)   13 0.6* (0.3–1.0)  
 40+     22 0.9 (0.6–1.5)   16 1.1 (0.6–1.9)  
Time of first exposure     13.15 (1)**     0.46 (1)     0.84 (1)
 Pre-ALRc 19 1.0   123 1.0   81 1.0  
 Post-ALR 4   135 1.1 (0.8–1.4)   90 1.2 (0.8–1.6)  
  Cerebrovascular disease
Respiratory disease
     
  Cases RRa (95% CI) LR test (d.f.) Cases RRa (95% CI) LR test (d.f.)      
Main stripping method     0.62 (2)     2.46 (2)      
 Wetc 18 1.0   23 1.0        
 Dry 14 0.8 (0.4–1.5)   13 0.6 (0.3–1.2)        
 Both 2   4        
Main respirator type     7.12 (6)     4.02 (6)      
 Positive pressure maskc 31 1.0   33 1.0        
 Airstream helmet 0   0        
 Full face unpowered mask 4   4        
 Half face mask 0   0        
 Minimal 1   1        
 None 0   0        
 Mixed 0   3        
Weekly hours spent stripping     0.68 (2)     3.46 (3)      
 <10c 21 1.0   21 1.0        
 10− 10 1.4 (0.6–2.9)   8 1.1 (0.5–2.5)        
 30− 10 1.2 (0.6–2.7)   7 2.0 (0.8–4.6)        
 40+     8 1.9 (0.9–4.1)        
Smoking status     5.96 (2)     14.18 (2)**      
 Never smokersc 12 1.0   2 1.0        
 Current smokers 22 0.9 (0.4–1.8)   30 7.4** (1.8–30.6)        
 Former smokers 6 0.3* (0.1–0.9)   11 3.8 (0.8–17.2)        
Age at first exposure (years)     3.04 (4)     4.35 (3)      
 <20c 6 1.0   6 1.0        
 20− 8 1.1 (0.4–3.2)   12 1.7 (0.7–4.8)        
 30− 8 1.5 (0.5–4.7)   12 2.1 (0.8–5.3)        
 40− 12 2.2 (0.8–6.6)   14 1.0 (0.4–2.6)        
 50+ 7 1.3 (0.4–4.4)            
Length of time in the survey     0.45 (1)     0.46 (1)      
 Short-termc 15 1.0   20 1.0        
 Long-term 26 1.2 (0.7–2.3)   24 0.8 (0.5–1.5)        
Length of exposure (years)     0.94 (2)     7.14 (3)      
 <10c 24 1.0   25 1.0        
 10− 6 0.8 (0.3–1.9)   6 0.4 (0.2–1.1)        
 20− 11 0.7 (0.3–1.5)            
 30−     6 1.1 (0.4–2.7)        
 40+     7 1.9 (0.8–4.4)        
Time of first exposure     1.16 (1)     0.01 (1)      
 Pre-ALRc 18 1.0   22   1.0      
 Post-ALR 23 1.4 (0.7–2.8)   22 1.0 (0.5–1.8)        

*significant at P⩽0.05; **significant at P⩽0.01; LR test=Likelihood ratio test of goodness-of-fit; d.f.=degrees of freedom; CI=confidence interval.

a

Relative risk adjusted with Poisson regression for age, calendar period and sex.

b

ICD-10, post-2001.

c

Reference category.

d

Categories: <30, 30+.

The majority of workers mainly used the wet removal technique (56%) (Table 1). There were no statistically significant differences in risk between using mainly the wet technique and using the dry method (Table 3).

The positive pressure mask was the main respirator used by the majority of participants (68%) (Table 1). No significant association between risk for any of the diseases of interest and the main respirator used was observed (Table 3).

The majority of participants (nearly 60%) spent, on average, more than 10 h a week in the stripping enclosure (Table 1). As the number of hours spent in the stripping enclosure increased, the proportion of current smokers also increased (Figure 1). There was a significant increase in risk for workers who spent more than 40 h as compared with less than 10 h a week in the enclosure for all causes, circulatory disease and ischaemic heart disease (all causes: RR 1.4, 95% CI 1.2–1.7; circulatory disease: RR 1.7, 95% CI 1.2–2.4; ischaemic heart disease: RR 1.9, 95% CI 1.2–2.8). Adjustment for smoking status attenuated the results but the observed increasing trend remained (not shown).

Figure 1.

Figure 1

Distribution of examinations by weekly hours spent stripping and smoking status.

The majority of participants were current smokers at their final examination (57%) (Table 1). Mortality from all causes, all cancers, lung cancer, circulatory disease, ischaemic heart disease, and respiratory disease was statistically significantly higher among current smokers than never smokers (Table 3).

The majority of workers (43%) were 20–29 years of age when first exposed to asbestos (Table 1). A reduction in mortality risk for all cancers and for mesothelioma with increasing age of first occupational exposure was observed, and the risk of mortality for all causes was lower for those whose first exposure to asbestos was after age 50 years (RR 0.7, 95% CI 0.6–0.9) (Table 3).

The majority of removal workers (57%) completed just one examination during the study period (Table 1). A statistically significant increase in the risk of mortality from all cancers, lung cancer, and mesothelioma was seen among long-term as compared with short-term workers (all cancers: RR 1.5, 95% CI 1.2–1.9; lung cancer: RR 1.6, 95% CI 1.1–2.4; mesothelioma: RR 4.5, 95% CI 1.3–16.0; Table 3).

The majority of workers (76%) experienced less than 10 years of occupational exposure to asbestos, with only 1% having more than 40 years of exposure (Table 1). An increase in mortality risk for all causes, all cancers and mesothelioma with increasing duration of exposure was observed (Table 3). Mortality risks for all cancers and mesothelioma for those with at least 30 years exposure were statistically higher than those with less than 10 and 30 years exposure respectively (all cancers, 30–39: RR 1.4, 95% CI 1.1–1.9; mesothelioma, 30+: RR 7.3, 95% CI 2.5–21.6; Table 3).

The majority of participants were first occupationally exposed to asbestos post-ALR (83%) (Table 1). The risk of mortality from all cancers and from mesothelioma was significantly lower for those first exposed post-ALR compared with those exposed pre-ALR (Table 3) (all cancers: RR 0.8, 95% CI 0.7–1.0; mesothelioma: RR 0.2, 95% CI 0.04–0.6).

Discussion

The main strength of the study is that it captured the vast majority of asbestos removal workers covered by the regulations in Great Britain (GB), together with such confounders as smoking status and on the working practices of the participant specific to the asbestos removal industry.

The majority of removal workers included in the analysis (over 80%) were first occupationally exposed to asbestos after the introduction of the ALR (1983). The latency period for asbestos-related diseases is 10–40 or more years (Levin et al, 1998; Yarborough, 2006) so any such diseases were beginning to emerge in the survey time frame. However, a longer follow-up period would begin to capture the full extent of asbestos-related disease.

Workers recruited under the 1983 ALR were required to attend pre-employment examinations and so would be unable to answer the removal worker-specific questions. Also, questionnaires completed before 1987 did not include these questions. Altogether, 51% of records had at least one missing response for the detailed stripping/removal variables and 41% of records had missing entries in all of these.

Wetting the area where removal is being carried out controls asbestos fibres and reduces airborne contamination (Paik et al, 1983; Sawyer et al, 1985; Lange and Thomulka, 2002), so such techniques have become the recommended working practice over dry methods. This study found no evidence that the use of mainly wet suppression techniques reduced the risk of mortality for workers. However, it is possible that this result is due to the combined effect of suppression technique and working practices aimed at reducing asbestos exposure.

Respirators can reduce the exposure of removal workers to asbestos fibres to 10% or less of the airborne concentrations measured outside the respirator (Williams et al, 2007). The majority of participants mainly used the positive pressure mask (68%), resulting in few cases in other categories. Workers who used little or no respiratory protection may still report that they did, diluting differences that may have otherwise been observed. Also important to note is that the effectiveness of any control method is highly dependent on the individual and how closely they follow procedures (Clayton et al, 2002).

There was a trend of increasing risk of mortality as the number of hours spent in the stripping enclosure increased. Spending a large number of hours per week in a stripping enclosure exposes workers not only to more asbestos fibres, but also to risk factors associated with working long hours. In particular, high stress because of work demands may increase negative behaviours such as physical inactivity, poor diet, and tobacco and alcohol use (Caruso, 2006). This is in agreement with this study, which found that participants spending long hours in the enclosure were more likely to be current smokers. However, the observed trends remained even after adjustment for smoking habits (not shown).

For all cancers and mesothelioma mortality, the risk decreased as age at first occupational exposure to asbestos increased. Pira et al (2005) looked at the mesothelioma death rates in asbestos textile workers using a multiplicative (or relative risk) model. Under this model, age at first exposure was inversely related with mesothelioma risk. Other studies, however, found that age at first exposure had no significant effect on the incidence of mesothelioma (Peto et al, 1982; Hansen et al, 1998).

With changes in legislation and attitudes towards asbestos usage, the emphasis is now being placed on investigating how effective new regulations and procedures are at reducing the risks associated with occupations in the asbestos industry. However, the length of follow-up since their implementation, in particular the 1983 ALR considered in this study, is still relatively short given the latency periods of asbestos-related diseases. The significant reduction in risk of mortality from all cancers and mesothelioma when the first exposure occurred after the ALR should therefore be treated with caution.

In conclusion, there was no evidence that any particular method of dust suppression during asbestos removal was associated with reduced mortality. A link was suggested between the number of hours spent in the stripping enclosure and smoking status. In addition, the risk of mortality increased as the number of hours spent removing asbestos increased. This study is a first step in assessing the mortality of asbestos removal workers and further follow-up should allow assessment of the efficiency of recent regulations in this respect.

Acknowledgments

We thank the staff at the Health and Safety Laboratory who work on the Asbestos Survey. We also thank the staff at the NHSCR for their assistance. This study was funded by the Health and Safety Executive.

References

  1. Bartrip PW (2004) History of asbestos related disease. Postgrad Med J 80: 72–76 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Caruso CC (2006) Possible broad impacts of long work hours. Ind Health 44: 531–536 [DOI] [PubMed] [Google Scholar]
  3. Clayton MP, Bailey AE, Vaughan NP, Rajan R (2002) Performance of power assisted respirators during simulated asbestos removal. Ann Occup Hyg 46: 49–59 [DOI] [PubMed] [Google Scholar]
  4. Ewing WMJ, Spain WH (1984) Getting to the very fiber of industrial asbestos removal. Occup Health Saf 29–33, 60, 68 [PubMed]
  5. Hansen J, de Klerk NH, Musk AW, Hobbs MST (1998) Environmental exposure to crocidolite and mesothelioma: exposure-response relationships. Am J Crit Care Med 157: 69–75 [DOI] [PubMed] [Google Scholar]
  6. Harding A-H, Wegerdt J (2006) Asbestos Workers Database: summary statistics. HSE Research Report HSL/2007/05 45 [Google Scholar]
  7. Lange JH, Sites SLM, Mastrangelo G, Thomulka KW (2006) Exposure to airborne asbestos during abatement of ceiling material, window caulking, floor tile, and roofing material. Bull Environ Contam Toxicol 77: 718–722 [DOI] [PubMed] [Google Scholar]
  8. Lange JH, Thomulka KW (2002) Airborne exposure concentrations during asbestos abatement of ceiling and wall plaster. Bull Environ Contam Toxicol 69: 712–718 [DOI] [PubMed] [Google Scholar]
  9. Levin JL, McLarty JW, Hurst GA, Smith AN, Frank AL (1998) Tyler asbestos workers: mortality experience in a cohort exposed to amosite. Occup Environ Med 55: 155–160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Marsh GM, Youk AO, Sefcik ST, Alcorn CW (2004) Occupational Cohort Mortality Analysis Program. Department of Biostatistics, University of Pittsburgh: Pittsburgh [Google Scholar]
  11. Paik NW, Walcott RJ, Brogan PA. (1983) Worker exposure to asbestos during removal of sprayed material and renovation activity in buildings containing sprayed material. Am Ind Hyg Assoc J 44: 428–432 [DOI] [PubMed] [Google Scholar]
  12. Peto J, Seidman H, Selikoff IJ (1982) Mesothelioma mortality in asbestos workers: implications for models of carcinogenesis and risk assessment. Br J Canc 45: 124–135 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Pira E, Pelucchi C, Buffoni L, Palmas A, Turbiglio M, Negri E, Piolatto PG, La Vecchia C (2005) Cancer mortality in a cohort of asbestos textile workers. Br J Cancer 92: 580–586 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Sawyer RN, Rohl AN, Langer AM (1985) Airborne fiber control in buildings during asbestos material removal by amended water methodology. Environ Res 36: 46–55 [DOI] [PubMed] [Google Scholar]
  15. StataCorp (2005) Stata Statistical Software: Release 9. StataCorp LP: College Station, TX [Google Scholar]
  16. Williams PRD, Phelka AD, Paustenbach DJ (2007) A review of historical exposures to asbestos among skilled craftsmen (1940–2006). J Toxicol Environ Health B Crit Rev 10: 319–377 [DOI] [PubMed] [Google Scholar]
  17. Yarborough CM (2006) Chrysotile as a cause of mesothelioma: an assessment based on epidemiology. Crit Rev Toxicol 36: 165–187 [DOI] [PubMed] [Google Scholar]

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