Shirangi and her colleagues set out to examine the relationship
between occupational exposures and spontaneous abortion in female
veterinarians. One exposure examined, is in relation to the use of x-
rays, where the authors report in the abstract that veterinarians who
reported performing more than 5 radiographic examinations per week had a
statistically significant elevated risk of spontaneous abortion compared
with th...
Shirangi and her colleagues set out to examine the relationship
between occupational exposures and spontaneous abortion in female
veterinarians. One exposure examined, is in relation to the use of x-
rays, where the authors report in the abstract that veterinarians who
reported performing more than 5 radiographic examinations per week had a
statistically significant elevated risk of spontaneous abortion compared
with those performing 5 or less (OR 1.82, 95% CL 1.17:2.82). This leads
onto a conclusion that female veterinarians should be fully informed of
the possible reproductive effects of ionising radiation.
Looking at the text of the article, the authors reference that
spontaneous abortion has been linked to occupational exposure to
radiation, although their consideration is limited to studies of female
veterinarians and there is no mention of the large amount of occupational
data on radiation workers, or radiobiology in terms of deterministic or
stochastic effects. In relation to the study design, there is no
consideration of measured radiation dose or radiation protection practice,
with consideration limited to the crude division of 3 classes of practice:
those not exposed to x-rays at all, those indicating between one and 5
films per week, and those undertaking more than 5 films.
Interestingly, although not commented upon in the text, it appears
that there is a statistically significant reduction in relative risk from
those not exposed at all, for those undertaking one to 5 films (0.57 (0.40
to 0.79)). The risk for over 5 films is also less than that for no
exposure, although this does not reach to statistical significance. Given
a situation where it is clear that there is a higher crude risk of
spontaneous abortion amongst the unexposed than the exposed, one much
question why further analysis in terms of the logistic regression was
undertaken, and how such further analysis revealed the stated result. The
first question must be one for the authors, although the answer to the
second appears to be based on the elimination of the unexposed group from
the subsequent analysis. Table 3 indicates only 2 exposure categories,
namely 5 or less films, or over 5 films per week.
Those providing Occupational Health support to radiation workers in
the UK were in the forefront of establishing ethical standards for the
provision of prepublication information to workers on the results of
studies which they participated in. Shirangi and her colleagues do not
report their arrangements for providing such information. It is however
difficult to understand how a cohort of workers of the intelligence and
training of female veterinarians would not have picked up this apparent
anomaly in the data at worker briefing sessions.
The timely article by Blettner et al. [1] reports an association,
albeit weak, between adverse health effects and a distance of < 500 m
from mobile phone base stations. The authors state that this observation
cannot be explained by participant attributions or concerns alone and
conclude that “the worries and health complaints of people living close to
mobile phone base stations need to be taken s...
The timely article by Blettner et al. [1] reports an association,
albeit weak, between adverse health effects and a distance of < 500 m
from mobile phone base stations. The authors state that this observation
cannot be explained by participant attributions or concerns alone and
conclude that “the worries and health complaints of people living close to
mobile phone base stations need to be taken seriously.” While provocation
studies have overall found no substantial evidence supporting
electrohypersensitivity to short-term low-intensity electromagnetic field
(LEMF) exposure [2], epidemiological studies involving longer-term
exposures have consistently found an association between LEMF exposure and
neurobehavioural symptoms [2]. The conclusion of Blettner et al. [1] is
supported by such studies, which include independent reports from several
countries [e.g., 2,3]. While the mechanism(s) by which base station EMFs
might cause neurobehavioural symptoms remain(s) conjectural, it is notable
that Science Magazine has recently acknowledged that there are several
peer-reviewed papers from laboratories in at least seven countries showing
that cell phone or similar LEMFs can, contrary to the expectations of such
“non-ionizing” sources, damage or structurally modify DNA [4]. In the
context of base station EMFs and cancer, only one study testing this
association was found [5]. The authors reported a greater than 4-fold
increased incidence of cancers among a cohort of 622 people living in the
area near a base station for 3-7 years compared with a comparison cohort
of 1222 people living more remotely. Although the particular medical
logistics in the studied community leant themselves somewhat favorably to
such a study and despite no other confounding variable(s) being identified
by the authors, one or more confounders could not be excluded [5]. Phase 2
of the important study by Blettner et al. [1] may shed further light on
any association between symptomatology and measured EMF exposure.
References:
1. Blettner M, Schlehofer B, Breckenkamp J, Kowall B, Schmiedel S,
Reis U, Potthoff P, Schuez J, Berg-Beckhoff G. Mobile phone base stations
and adverse health effects: Phase 1: A population-based cross-sectional
study in Germany. Occup Environ Med 2008; Nov 18. [Epub ahead of print]
2. Roosli M. Radiofrequency electromagnetic field exposure and non-
specific symptoms of ill health: A systematic review. Environ Res 2008;
107:277-87.
3. Abdel-Rassoul G, El-Fateh OA, Salem MA, Michael A, Farahat F, El-
Batanouny M, Salem E. Neurobehavioral effects among inhabitants around
mobile phone base stations. Neurotoxicology 2007; 28:434-40.
4. Khurana VG. Cell phone and DNA story overlooked studies. Science
2008. 322:1325.
5. Wolf R, Wolf D. Increased incidence of cancer near a cell-phone
transmitter station. Int J Cancer Prev 2004; 1:123-128.
The author declares no competing interest, financial or otherwise.
Since 1986 cancer events in the Dutch population related to nutrition
and lifestyle factors are observed in the prospective cohort study “The
Netherlands cohort study on diet and cancer”.
Now the data of 58.279 male study participants have been evaluated
regarding a potential association between the occupational activity and
lung cancer. Present information on 5 performed jobs respectively
activities of each study partic...
Since 1986 cancer events in the Dutch population related to nutrition
and lifestyle factors are observed in the prospective cohort study “The
Netherlands cohort study on diet and cancer”.
Now the data of 58.279 male study participants have been evaluated
regarding a potential association between the occupational activity and
lung cancer. Present information on 5 performed jobs respectively
activities of each study participant were condensed to 26 categories and
industries respectively. No further details or exposure data were
available. The relative risks of affection by lung cancer were evaluated
for each of the 26 “industrial categories”.
In a total of 1.920 cases of lung cancer significant increased
relative risks were calculated in the categories “electronics/optical
instruments”, “construction and homebuilding business” and “railway
company” after 15 years of employment. Confounders outside the occupation
were considered. A significant decreased risk after 15 years of exposure
was observed for “textiles and leather”.
The following questions arise from the view of an occupational
physician:
• The creation of the category “construction and homebuilding
business” merges such different tasks and their exposure scenery like
brick layer, carpenter and painter. Do all these jobs have an increased
risk or is the result due to the high risk of one of these occupations?
• Even harder to estimate are the categories, where no significant
increased risks were found. Here as well jobs with totally different
exposures were put together, e.g. when grouping the branches “Mining,
quarrying and offshore” or “farming, forestry, horticulture, hunting,
fishing”. In these cases an underestimation of relative risks may occur
because occupations without risks are levelling off the results of the
risk estimation.
• The problems of this study protocol become also obvious when
looking at the significant results of the categories “electronics, optical
instruments” and “textiles and leather” for which the authors do not have
any explanation.
In general this study leads to the question, if it is justified to
use data which originally have been collected for another purpose for
issues of occupational medicine, especially when the data base of
activities and exposures is obviously rudimentary.
As pointed out by the authors, the ultimate carcinogen in the
occupational wood dust exposure is not known. It has been known that
hardwood dust particles are much more harmful than those from softwood
sources. Tannins are versatile markers for hardwood species (1) and their
presence e.g. in the nasal lavage liquid can be used to quantitatively
monitor the dust burden at the target site (2).
As pointed out by the authors, the ultimate carcinogen in the
occupational wood dust exposure is not known. It has been known that
hardwood dust particles are much more harmful than those from softwood
sources. Tannins are versatile markers for hardwood species (1) and their
presence e.g. in the nasal lavage liquid can be used to quantitatively
monitor the dust burden at the target site (2).
Shoemakers are another occupational group in an elevated risk for
sinonasal adenocarcinoma. The common factor could be the use of plant
tannins in the leather treatment. The leather dust tannin content in 24
shops in Lausanne corresponded to that of cherry tree dust (1).
1 Bianco MA, Savolainen H. Woodworkers´ exposure to tannins. J Appl
Toxicol. 1994; 14: 293-295.
2 Mämmelä P, Tuomainen A, Vartiainen T, et al. Biological monitoring
of wood dust exposure in nasal lavage by high-performance liquid
chromatography. J Environ Monit. 2002; 4: 187-189.
The paper by Laakkonen et al., (1) provides an excellent discussion
and additional information on exposure outcomes from bacteria and mould.
I would like to mention that one possible reason why no association
between “reduced” cancer, especially lung cancer, and exposure to bacteria
was observed in women is due to the lower amount of time this group may
spend “being exposed” (as seen in table 4). However, as noted by th...
The paper by Laakkonen et al., (1) provides an excellent discussion
and additional information on exposure outcomes from bacteria and mould.
I would like to mention that one possible reason why no association
between “reduced” cancer, especially lung cancer, and exposure to bacteria
was observed in women is due to the lower amount of time this group may
spend “being exposed” (as seen in table 4). However, as noted by the
authors’ a positive association was observed for men, who likely have a
higher exposure time. It is interesting to observe that a reduced cancer
rate was observed in men when evaluated with mould exposure; although, the
authors’ mention that such exposures (bacteria and mould) in the work-
related environments occur together.
I would like to mention that animal studies (2) support the findings
of reduced cancer rates in occupational populations exposed to organic
dust, notability lung cancer, and have indicated that the agent
responsible is endotoxin. As mentioned, the hypothesized changes of
increasing and decreasing cancer by location could be evaluated through
animals models; although, to my knowledge has only been undertaken for
lung cancer. Such models have been used to evaluate metastases/tumor
occurrence for substances other than organic dust (cotton dust) and
endotoxin (e.g. JP-8 jet fuel) and appear to be useful in studying
potential of cancer and anti-cancer agents, especially those that have a
relationship associated with the immune system (3).
References
1. Laakkonen A, et al., (2008). Moulds, bacteria and cancer among
Finns: an occupational cohort study. Occup Environ Med. 65: 489.
2. Lange JH. (2007) Reduced cancer in workers exposed to endotoxin-
containing organic dust: experimental evidence and review of epidemiology.
Current Topics in Toxicology. 4:1-23.
3. Harris DT, et al., (2007). JP-8 jet fuel exposure potentiates
tumor development in two experimental model systems. Toxicol and Indust
Health. 23: 617.
Sir,
Recently a paper by Cherry et al. mentioned above was published in this journal (1). The paper reports the results of a CEFIC co-sponsored case-referent study on male infertility and occupational exposures (2). The study reported an association between male infertility and glycol ethers. We would like to describe several critical points in the analysis. These points not only pertain to the research question but also the a...
Sir,
Recently a paper by Cherry et al. mentioned above was published in this journal (1). The paper reports the results of a CEFIC co-sponsored case-referent study on male infertility and occupational exposures (2). The study reported an association between male infertility and glycol ethers. We would like to describe several critical points in the analysis. These points not only pertain to the research question but also the a priori hypothesis and further information that was collected during this research project, but not reported in the paper.
1. A priori hypothesis. The paper mentions that the study was “designed primarily to test the one a priori hypothesis, that organic solvents and specifically solvent mixtures containing glycol ethers were associated with a reduced number of motile sperm”. However, the objectives of the project as set out in the final study proposal (2) were more extensive, as follows: “The specific objectives are to determine, for male patients newly attending fertility clinics in 10 UK cities: 1. Whether the distribution of occupations or inferred exposures to chemicals differ between infertile men (cases) and men attending the same clinics but with normal semen analysis (referents) 2. Whether concentrations of organic solvents and heavy metals in blood, urine and seminal plasma, differ between cases and referents. 3. The distribution of inferred, non-occupational exposures between cases and referents. 4. The distribution of cotinine in urine and seminal seminal plasma, declared alcohol intake, age, previous illness, medications and wearing of constrictive clothing between cases and referents.” From the description of these broader objectives it seems clear that the possible association with glycol ethers was just one of many hypotheses under investigation.
2. No overall association between any glycol ether exposure and male infertility. In the peer review paper it is concluded that there is an association between glycol ether exposure and male infertility. The data in table 4 of the article allow calculating the crude Odds Ratio (OR) between any glycol ether exposure and male infertility, by combining the 3 exposure categories. 653 cases and 949 referents were assessed not to be exposed and 221 cases and 949 controls were assed to be exposed to glycol ethers, giving an unadjusted OR of 1.09, which is not statistically significantly different from unity.
3. Extremely poor agreement between exposure assessors. The journal paper provides little information on the quality of the exposure assessments. However, the full project report contained a specific analysis of inter-assessor agreement (Table 40). Agreement between the two assessors was extremely poor, particularly for the high exposure category, on which the conclusion of an association is based. The high exposure group consisted of 33 subjects. 29 were rated high by rater 1 and 6 by rater 2. This implies that for only 2 subjects out of the 33 (6%) was there concordance. We believe this is a major weakness in the study and should have been reported in the journal paper. A more reliable approach would have been to only regard as exposed those subjects about whom the assessors were in agreement.
4. Validation of exposure assessment by means of biomonitoring. Despite being a part of the full project, the paper by Cherry et al only briefly mentions the biomonitoring work that was conducted. However, in the project report information is presented on this. Blood, urine and semen samples were collected from each man in the study. If a solvent-exposed individual, as judged by the industrial hygienists, was not expected having been exposed to solvents in the 24 hours prior to the collection, an additional clinic visit was arranged specifically choosing a clinic time that would ensure the subject had been exposed to solvents on the day of the second sample. For all subjects in the high, 56 out of the 129 men in the moderate and 55 of the 1507 men in the no exposure groups the urine samples were analyzed for glycol ether metabolites (ethoxy-, methoxy- and butoxy-acetic acid) focusing on those study subjects with the potentially highest exposure and compare these with referents. In none of the 200 samples (including all potentially highest exposed workers) methoxyacetic acid was detected, ethoxyacetic acid was detected in only 2 samples and butoxyacetic acid in 8 samples. Any glycol ether metabolite gave an OR of 0.19 with low fertility. The four Pearson correlations, for butoxy- and ethoxyacetic acid and two independent raters were all below 0.14 indicating very poor correlations between the metabolites in the biological samples and the ratings. We therefore seriously doubt the accuracy of the exposure rating assigned by the hygienists and hence the validity of the proposed relationship between glycol ether exposure and reduced sperm motility.
5. Incorrect time window of exposure. Although the questionnaire focused on the 24 months before semen sample collection, the associations between specific solvents and metals and male infertility was only based on the information on the 3-month period immediately prior to semen sample collection. The conclusion that a positive association between glycol ether exposure and male infertility exists, is therefore limited to this 3-month window. However all couples that had a period of less than 12 months attempting to conceive were excluded from the study. Infertility therefore already existed 9 months before the time period over which the exposure information was used. Information from the preceding 21 months was not used at all in the statistical analysis.
Although several shortcomings were acknowledged in the sponsor’s report (2), these do not come across clearly in the paper as published. In particular, findings could have been interpreted quite differently depending on the weight given to either the biomonitoring or assessors’ data. Had the biomonitoring data (which include all highly exposed subjects) been taken as the gold standard, the study would rather have indicated that there was no association between the presence of glycol ethers metabolite or an inverse association with male infertility. The data warrant a more cautious interpretation.
Gerard M.H. Swaen, PhD
Senior Epidemiologist
The Dow Chemical Company
P.O. Box 444
4530 AK Terneuzen
The Netherlands
Peter J. Boogaard, PhD, PharmD, DABT, ERT
Senior Toxicologist
Shell Health
Shell International bv
P.O. Box 162
2501 AN The Hague
The Netherlands
Reference
1. Cherry N, Moore H, McNamee R, et al. Occupation and male infertility: Glycol ethers and other exposures. Occup Environ Med April 2008; doi:10.1136/oem.2007.035824.
2. The study details and final report can be found at the CEFIC-LRI website at: http://www.cefic-lri.org/index.php?mact=MCLibrary,cntnt01,details,0&cntnt01library_id=2&cntnt01template=&cntnt01group_by=pages%2C114&cntnt01origid=21&cntnt01item_id=1202820616&cntnt01returnid=21
A Time-Lag of Hospital Admission
To the Editor:
We read with interest the study by Bell et al,1 who studied the effect of
air pollution on the occurrence of pneumonia, ischemic heart disease, and
cerebrovascular disease in Taiwan. They analyzed the correlation between
the number of patients admitted to National Taiwan University Hospital
(NTUH) and some surrogate markers of air-pollution. In the cerebrovascular
disease,...
A Time-Lag of Hospital Admission
To the Editor:
We read with interest the study by Bell et al,1 who studied the effect of
air pollution on the occurrence of pneumonia, ischemic heart disease, and
cerebrovascular disease in Taiwan. They analyzed the correlation between
the number of patients admitted to National Taiwan University Hospital
(NTUH) and some surrogate markers of air-pollution. In the cerebrovascular
disease, they claimed that the number of admissions were associated with
PM10 and CO, both at a lag of 3 days. It is likely a bias in the
representation of the actual number of stroke happened in these period.
The NTUH stroke registry initiated in 1995 and is a ongoing stroke
registry.2,3 From 1995 to 2006, there were 15196 stroke admissions at
NTUH. There are 12624 (83.1%) patients with acute stroke admitted through
the emergency department (ED). The average time from the stroke onset to
admission was 3.27¡Ó4.71 days (a median of 2 days). Besides, 1609 (12.7%)
patients were treated at the ED without admission, and 963 (6.3%) patients
had stroke during hospitalization. One study of ED arrival time for acute
stroke patients, near one-quarter of stroke patients took more than 24
hours to reach the ED.4 Another study in southern Taiwan, 54% of patient
took more than 6 hours from symptom onset to the ED.5 Hence, it is
unlikely to represent the actual number of acute cerebrovascular disease
by the ICD coding method of hospital admission, and a time lag from the
stroke onset to admission occurs frequently. Therefore, the cumulative
effect of the pollutants might not be correctly interpreted, and a 3-day
lag effect of PM10 and CO toward the cerebrovascular disease might be over
-estimated. We suggest that the correlation between the air pollutants and
the occurrence of major diseases should be evaluated by the disease onset
time, not by the admission time.
Sincerely,
Lung, Chan. M.D., M.Sc.
Section of Neurology, Department of Internal Medicine, Far-Eastern
Memorial Hospital, Taipei, Taiwan
Jiann-Shing Jeng. M.D., Ph.D.
Stroke Center and Department of Neurology, National Taiwan University
Hospital, Taipei, Taiwan
Corresponding to: Jiann-Shing Jeng, MD, PhD
Department of Neurology, National Taiwan University Hospital, No 7 Chung-
Shan south Road, Taipei 100, Taiwan
Tel: +886-2-23123456ext.5338; fax: +886-2-23418395
E-mail address: jsjeng@ntu.edu.tw
References:
1. Bell ML, Levy JK, Lin Z. The effect of sandstorms and air pollution on
cause-specific hospital admissions in Taipei, Taiwan. Occup Environ Med
2008;65:104-111.
2. Jeng JS, Lee TK, Chang YC, Huang ZS, Ng SK, Chen RC, Yip PK. Subtypes
and case-fatality rates of stroke: a hospital-based stroke registry in
Taiwan (SCAN-IV). J Neurol Sci 1998;156:220-226.
3. Yip PK, Jeng JS, Lee TK, Chang YC, Huang ZS, Ng SK, Chen RC. Subtypes
of ischemic stroke. A hospital-based stroke registry in Taiwan (SCAN-IV).
Stroke 1997;28:2507-2512.
4. Yip PK, Jeng JS, Lu J. Hospital arrival time after onset of different
types of stroke in greater Taipei. J Formos Med Assoc 2000;99:532-537.
5. Chang KC, Tseng MC, Tan TY. Prehospital delay after acute stroke in
Kaohsiung, Taiwan. Stroke 2004;35:700-704.
There are several reasons for questioning the apparent conclusion
reached by Mirabelli and colleagues (Mirabelli et al. 2008) that their
data provide evidence for the mesothelioma-inducing potential of what they
refer to as “tremolite-free chrysotile”. Most of the reasons may already
be well-known to the authors. No longer a traditional follow-up of the
cohort study to which they refer (Rubino et al. 1979; Piolatto et a...
There are several reasons for questioning the apparent conclusion
reached by Mirabelli and colleagues (Mirabelli et al. 2008) that their
data provide evidence for the mesothelioma-inducing potential of what they
refer to as “tremolite-free chrysotile”. Most of the reasons may already
be well-known to the authors. No longer a traditional follow-up of the
cohort study to which they refer (Rubino et al. 1979; Piolatto et al.
1990; Silvestri et al. 2001), this account is essentially a case series
assembled retrospectively, as best they could, unfortunately subject to
several sources of bias, and analysed entirely without controls (or, as
they acknowledge, even true estimates of exposed and unexposed
populations). Information about “exposure” is incomplete and of doubtful
reliability both for chrysotile and for fibrous amphibole and its
analogues, including “tremolite” (which, unlike “balangeroite”, is not
always, or even usually, “asbestos”; in the Jeffrey Mine in Québec for
example it has been estimated that over 99% of the “tremolite” present is
nonasbestiform (Williams-Jones et al. 2001)).
This is not the issue – the issue is whether or not the material
present causes mesothelioma. For the “tremolite” levels present in some
Quebec mines and the lungs of some Quebec miners and millers employed
therein, we believe the case is proven (Case et al. 1997; McDonald, AD et
al. 1997). There is strong evidence that it is true not only for male
miners and millers, as well as factory workers using imported crocidolite
in manufacture at one mine site proven not to contain that mineral. It is
also true for women, without exception exposed in the highest tremolite
area although shown in some cases by lung-retained fiber analyses and
occupational histories to have had as well some occupational exposures to
commercial amphibole (Case et al. 2002).
Similarly, in the cases reported by these authors (some of which they
say were exposed to “tremolite”, without defining what they mean by that
term mineralogically or any other detail), the amount of “balangeroite”
reported by the authors to be “in the mine” is similar to the amount of
“tremolite” (whether asbestiform or not) reported to be present in
Thetford Mines locations in Québec. The difference is that, unlike
tremolite, “balangeroite” has been classed as an “iron-rich asbestiform”
fiber with structural, biochemical, and perhaps most important
biodurability characteristics similar to crocidolite (Gazzano et al. 2005;
Groppo et al. 2005; Turci et al. 2005). The authors appear to believe
that the fact that balangeroite has not yet been “classed as a carcinogen”
somehow absolves it. This is hardly a precautionary approach, and were it
taken with richterite and/ or winchite, both unregulated amphiboles, the
mesotheliomas in the workforce at Libby, Montana (McDonald, JC et al.
2004; Sullivan 2007) could be considered as much caused by ‘vermiculite’
as the authors appear to believe their cases are caused by chrysotile.
The most fundamental deficiency however is the complete absence of
lung-retained fibre analyses. Such analyses have been performed by the
authors in other locations (Barone-Adesi et al. 2008), so they have the
capability and hopefully the plans to do this. Such analyses would almost
certainly make clear whether and to what extent chrysotile alone or the
specific amphiboles present are responsible, and lead to a better
understanding of balangeroite’s toxicity, at least for mesothelioma.
Certainly the Québec experience is instructive in that regard, in that our
studies would not even have been thought of were it not for the discovery
by other investigators that “tremolite” is selectively and preferentially
retained in the lung (Pooley 1976; Rowlands et al. 1982); such is likely
to be the case for balangeroite as well. Several of the Italian cases are
quite recent, so lung tissue from biopsy (if adequate), surgical
intervention with partial or total pneumonectomy, or autopsy may well be
available. Even if not, broncho-alveolar lavage fluid from exposed
individuals, or even sputum asbestos body content, which proved so useful
in 70% of Libby workers (Sébastien et al. 1988) and was a better predictor
of radiographic changes than was cumulative exposure, may be useful.
This is not simply an academic exercise: too many journals in
occupational and environmental medicine and disease, public health
science, epidemiology, and general medicine are so poorly equipped for
peer review on mineralogical exposure parameters and assessment that some
questionable aspects of papers in this area slip through the cracks.
Perhaps the best-known example is the study by Yano and colleagues with
the possibly misleading title “Cancer mortality among workers exposed to
amphibole-free chrysotile asbestos” (Yano et al. 2001). Amphibole
contamination was at the time of publication not assessed in the lungs of
the victims but in four samples of “processed chrysotile” from “two mines”
by methods not specified other than by “personal communication” with the
scientist (Kohyama) who performed them, who is not an author of the paper.
The authors were perhaps understandably not aware of the contemporaneous
findings of (Tossavainen et al. 2001) who found tremolite in ten of ten
samples from six Chinese mines, but noted that 71% of fibres found in the
lungs of workers exposed to these were in fact anthophyllite, a fibre type
only present (at the detection limit) in one of the ten bulk samples.
Neither Dr. Yano nor Dr. Kohyama have yet updated the record with lung-
retained fibre analysis information; only if and when they do will their
work be reconciled with that of the Finnish investigators.
Given that chrysotile is also known at the very least to cause lung
cancer, at sufficient dose and fiber length and often in interaction with
smoking, do the details concerning the magnitude of the differential in
fibre type risk for mesothelioma matter? We believe they do:
Mesothelioma is the health outcome of greatest concern for low doses, and
is therefore of greatest concern for public health. Regulatory agencies
and other bodies charged with protecting the public depend on good science
to determine where to spend their dollars in prevention and remediation.
Ultimately, as such, they need the best information available. Given the
hypothetical financial choice of, for example, exacting an adequate
cleanup in Libby, Montana (where unregulated amphiboles are of great
concern for mesothelioma), versus the two per cent of the surface area of
the State of California covered with serpentine rock, we believe it is
evident from the published work where the most effective use of resources
should be placed.
REFERENCES
Barone-Adesi, F., D. Ferrante, M. Bertolotti, et al. (2008). "Long-
term mortality from pleural and peritoneal cancer after exposure to
asbestos: Possible role of asbestos clearance." Int J Cancer.
Case, B. W., M. Camus, L. Richardson, et al. (2002). "Preliminary
findings for pleural mesothelioma among women in the Québec chrysotile
mining regions." Ann. Occup. Hyg 46(S1): 128-131.
Case, B. W., A. Churg, A. Dufresne, et al. (1997). "Lung Fibre
Content for Mesothelioma in the 1891-1920 Birth Cohort of Quebec
Chrysotile Workers: A Descriptive Study." Ann Occup Hyg 41(S1): 231-236.
Gazzano, E., C. Riganti, M. Tomatis, et al. (2005). "Potential
toxicity of nonregulated asbestiform minerals: balangeroite from the
western Alps. Part 3: Depletion of antioxidant defenses." J Toxicol
Environ Health A 68(1): 41-9.
Groppo, C., M. Tomatis, F. Turci, et al. (2005). "Potential toxicity
of nonregulated asbestiform minerals: balangeroite from the western Alps.
Part 1: Identification and characterization." J Toxicol Environ Health A
68(1): 1-19.
McDonald, A. D., B. W. Case, A. Churg, et al. (1997). "Mesothelioma
in Quebec chrysotile miners and millers: epidemiology and aetiology." Ann
Occup Hyg 41(6): 707-19.
McDonald, J. C., J. Harris and B. Armstrong (2004). "Mortality in a
cohort of vermiculite miners exposed to fibrous amphibole in Libby,
Montana." Occup Environ Med 61(4): 363-6.
Piolatto, G., E. Negri, C. La Vecchia, et al. (1990). "An update of
cancer mortality among chrysotile asbestos miners in Balangero, northern
Italy." Br J Ind Med 47(12): 810-4.
Pooley, F. D. (1976). "An examination of the fibrous mineral content
of asbestos lung tissue from the Canadian chrysotile mining industry."
Environmental Research 12: 281-298.
Rowlands, N., G. W. Gibbs and A. D. McDonald (1982). "Asbestos fibres
in the lungs of chrysotile miners and millers--a preliminary report." Ann
Occup Hyg 26(1-4): 411-5.
Rubino, G. F., G. Piolatto, M. L. Newhouse, et al. (1979). "Mortality
of chrysotile asbestos workers at the Balangero Mine, Northern Italy." Br
J Ind Med 36(3): 187-94.
Sébastien, P., B. Armstrong, B. W. Case, et al. (1988). " Estimation
of amphibole exposure from asbestos body and macrophage counts in sputum:
a survey in vermiculite miners." Ann Occup Hyg 32(S1): 195-201.
Silvestri, S., C. Magnani, R. Calisti, et al. (2001). "The experience
of the Balangero chrysotile asbestos mine in Italy: Health effects among
workers mining and milling asbestos and the health experience of persons
living nearby." Canadian Mineralogist: 177-186.
Sullivan, P. A. (2007). "Vermiculite, respiratory disease, and
asbestos exposure in Libby, Montana: update of a cohort mortality study."
Environ Health Perspect 115(4): 579-85.
Tossavainen, A., M. Kotilainen, K. Takahashi, et al. (2001). "Amphibole
fibres in Chinese chrysotile asbestos." Ann Occup Hyg 45(2): 145-52.
Turci, F., M. Tomatis, E. Gazzano, et al. (2005). "Potential toxicity
of nonregulated asbestiform minerals: balangeroite from the western Alps.
Part 2: Oxidant activity of the fibers." J Toxicol Environ Health A 68(1):
21-39.
Williams-Jones, A. E., C. Normand, J. R. Clark, et al. (2001).
"Controls of amphibole formation in chrysotile deposits: Evidence from the
Jeffrey Mine, Asbestos, Quebec." Canadian Mineralogist: 89-104.
Yano, E., Z. M. Wang, X. R. Wang, et al. (2001). "Cancer mortality
among workers exposed to amphibole-free chrysotile asbestos." Am J
Epidemiol 154(6): 538-43.
We are grateful to John Hodgson for his comments on our paper. It
was not our intention to investigate the overall accuracy of Labour Force
Survey statistics. Rather, we aimed to assess the potential for error
from one specific source, namely the impossibility of meaningfully
attributing a disorder to work when: a) there are no special clinical
features that distinguish between “occupational” and “non-occupational”
ca...
We are grateful to John Hodgson for his comments on our paper. It
was not our intention to investigate the overall accuracy of Labour Force
Survey statistics. Rather, we aimed to assess the potential for error
from one specific source, namely the impossibility of meaningfully
attributing a disorder to work when: a) there are no special clinical
features that distinguish between “occupational” and “non-occupational”
cases; and b) the relative risk associated with occupational exposure is
not so high that all cases in exposed persons can reasonably be attributed
to the exposure. In these circumstances, nobody can meaningfully classify
an individual case as “occupational in origin” or “work-related”.
However, it is possible to estimate the population burden of illness or
disease that is attributable to work by calculations based on estimates of
relative risk and of the prevalence of exposure in the population under
consideration.
Our findings illustrate the inconsistent relation of self-reported
attribution to calculated attributable numbers, and raise the possibility
that the degree of inconsistency could vary over time. For this reason,
time trends in counts of self-reported occupational illness should be
treated with some scepticism.
I would like to respond to some of the issues raised by Palmer et
al's recent paper "How common is repetitive strain injury?" and the
associated editorial by Fred Gerr on the surveillance of work related
musculoskeletal disorders.
The central issue is that of the reliability with which individuals
can attribute their musculoskeletal symptoms or conditions to work. The
question would be easi...
I would like to respond to some of the issues raised by Palmer et
al's recent paper "How common is repetitive strain injury?" and the
associated editorial by Fred Gerr on the surveillance of work related
musculoskeletal disorders.
The central issue is that of the reliability with which individuals
can attribute their musculoskeletal symptoms or conditions to work. The
question would be easier to resolve if there was a "gold standard" test
against which such attributions could be tested. As Fred Gerr points out,
this is not the case: our choice is between a number of imperfect methods.
Palmer et al claim that self reports will systematically overestimate
the numbers of work-related cases, and seem to imply that there is
sufficient error in such reports that they should not play an important
role in the formulation of policy.
In respect of the over attribution claim, it is important to realise
that Palmer et al's findings do not imply that the estimates HSE has drawn
from the LFS for (self-reported) work-related upper limb disorders are
exaggerated. On the contrary, their study implies that the prevalence (by
their preferred attributable fraction measure) of work-related arm pain
over a 12 month period was 6.5% (14% times 46%), while HSE's LFS measure
gives an estimate of 0.9%.
In any survey the context in which questions are asked, and precise
wording, can make substantial differences to the proportions of
respondents who respond positively. The fact that a version of HSE's LFS
question performed very differently in the context of the MRC research
than it does in the LFS is not surprising. The MRC version of the HSE LFS
question produced, in their study, a prevalence of work-related arm pain
of 25% (46% times 54%) compared to 0.9% from the LFS. It is not
surprising that this kind of question met in the context of a survey of
"aches and pains in the community" will elicit a different response than a
similar question in the LFS where the central topic is jobs and related
matters.
What Palmer et al's study shows is that if you take an "attributable
fraction" estimate due to specifically identified work activities, you get
a different, and in this case lower, overall estimate than can arise from
self reports. What the research cannot show is whether this difference is
due to fundamentally mistaken attribution in the self reports, or from
respondents applying different cut-offs for work-relatedness along a
basically valid scale. The MRC research could not address this question
because the attributable fraction approach only gives you an overall
estimate, and does not identify individual cases as work-related or not.
If people's responses to questions about attribution were purely
driven by their psychological makeup, with no connection to the true
sources of their condition then, of course, such measures would carry no
information relevant to the understanding and prevention of genuinely work
-related musculoskeletal harm. However this would be an extreme, and
somewhat implausible, claim. It is more likely that individuals have
effectively different thresholds for identifying what seems to them worth
describing as "work-related". No doubt, individual psychology plays a
role in determining how these thresholds are set, but that is by no means
the same thing as saying that the scale they are working on is essentially
flawed.
The measurement of work-related ill-health is not straightforward.
HSE responds to these difficulties by using a range of sources, including
self reports in the LFS, but also using medical surveillance, compensation
data and death certificates. In any measure it is important to be
consistent from year to year so as to have the best possible chance of
detecting the underlying trends. It is these trends, particularly over
the medium and long term, which are important, rather than the precise
levels.
We also keep our statistical methods under review and are currently
working on analyses to improve our understanding of the recent rise in the
self-reported work-related illness measure from the LFS. We will also be
organising a workshop on the measurement of work-related ill-health to
consider this and a range of related issues later this year.
Yours sincerely
John Hodgson
Head of Statistics
Health and Safety Executive
Shirangi and her colleagues set out to examine the relationship between occupational exposures and spontaneous abortion in female veterinarians. One exposure examined, is in relation to the use of x- rays, where the authors report in the abstract that veterinarians who reported performing more than 5 radiographic examinations per week had a statistically significant elevated risk of spontaneous abortion compared with th...
Dear Editor:
The timely article by Blettner et al. [1] reports an association, albeit weak, between adverse health effects and a distance of < 500 m from mobile phone base stations. The authors state that this observation cannot be explained by participant attributions or concerns alone and conclude that “the worries and health complaints of people living close to mobile phone base stations need to be taken s...
Since 1986 cancer events in the Dutch population related to nutrition and lifestyle factors are observed in the prospective cohort study “The Netherlands cohort study on diet and cancer”. Now the data of 58.279 male study participants have been evaluated regarding a potential association between the occupational activity and lung cancer. Present information on 5 performed jobs respectively activities of each study partic...
Dear Editor,
As pointed out by the authors, the ultimate carcinogen in the occupational wood dust exposure is not known. It has been known that hardwood dust particles are much more harmful than those from softwood sources. Tannins are versatile markers for hardwood species (1) and their presence e.g. in the nasal lavage liquid can be used to quantitatively monitor the dust burden at the target site (2).
...The paper by Laakkonen et al., (1) provides an excellent discussion and additional information on exposure outcomes from bacteria and mould. I would like to mention that one possible reason why no association between “reduced” cancer, especially lung cancer, and exposure to bacteria was observed in women is due to the lower amount of time this group may spend “being exposed” (as seen in table 4). However, as noted by th...
A Time-Lag of Hospital Admission To the Editor: We read with interest the study by Bell et al,1 who studied the effect of air pollution on the occurrence of pneumonia, ischemic heart disease, and cerebrovascular disease in Taiwan. They analyzed the correlation between the number of patients admitted to National Taiwan University Hospital (NTUH) and some surrogate markers of air-pollution. In the cerebrovascular disease,...
There are several reasons for questioning the apparent conclusion reached by Mirabelli and colleagues (Mirabelli et al. 2008) that their data provide evidence for the mesothelioma-inducing potential of what they refer to as “tremolite-free chrysotile”. Most of the reasons may already be well-known to the authors. No longer a traditional follow-up of the cohort study to which they refer (Rubino et al. 1979; Piolatto et a...
We are grateful to John Hodgson for his comments on our paper. It was not our intention to investigate the overall accuracy of Labour Force Survey statistics. Rather, we aimed to assess the potential for error from one specific source, namely the impossibility of meaningfully attributing a disorder to work when: a) there are no special clinical features that distinguish between “occupational” and “non-occupational” ca...
Dear Sir
I would like to respond to some of the issues raised by Palmer et al's recent paper "How common is repetitive strain injury?" and the associated editorial by Fred Gerr on the surveillance of work related musculoskeletal disorders.
The central issue is that of the reliability with which individuals can attribute their musculoskeletal symptoms or conditions to work. The question would be easi...
Pages