International Job Exposure Matrix for Asbestos – IJEMA Juliana Uribe, Ken Takahashi, Juan Pablo Ramos-Bonilla, Manuela M. Valenzuela, Margarita M. Giraldo, David S. Infante ABSTRACT Introduction: Workers in different occupations have been and are currently exposed to asbestos during asbestos mining, and in the manufacturing, use, and disposal of asbestos containing products. Although some of the occupations and industries in which asbestos exposure occurs have been identified in previous studies for some countries, the results in terms of asbestos exposure by occupation can be radically different between countries. The purpose of this study is to construct an International Job-Exposure Matrix of Asbestos (IJEMA), based on the scientific information available, linking occupation and asbestos exposure at the country level. Methods: Countries were classified by income group, following the country-income classification of the World Bank. Two search cycles were conducted using PubMed as the main search engine. A database was created based on the search cycle. To include an article in the elaboration of the IJEMA, the following criteria were applied: 1. the study had to be fully written in English, 2. the article should have been peer reviewed, and 3. the study clearly mentioned asbestos exposure in an occupation. Occupations identified as having asbestos exposure were classified following the International Standard Classification of Occupations – ISCO-08, to build the International Job Exposure Matrix for Asbestos. Results: The most common occupations identified as having asbestos exposures were: Managers in construction- ISCO 1323, Supply, distribution and related managers- ISCO 1324, Civil engineering-ISCO 2142, Mechanical engineering- ISCO 2144, Chemical engineering-ISCO 2145, Mining engineering, metallurgists and related professionals-ISCO 2146, Power production plant operators-ISCO 3131, Process control technicians-ISCO 3139, Ships' engineers- ISCO 3151, General office clerks- ISCO 4110, Stock clerks-ISCO4321, Fire-fighters-ISCO 5411, Inland and coastal waters fishery workers-ISCO 6222, Insulation workers-ISCO 7124, Plumbers and pipe fitters-ISCO 7126, Welders and flamecutters- ISCO 7212, Sheet-metal workers- ISCO 7213, Motor vehicle mechanics and repairers- ISCO7231, Building and related electricians-ISCO 7411, Miners and quarries- ISCO 8111, Mineral and stone processing plant operators-ISCO 8112, Cement, stone and other mineral products machine operators-ISCO 8114, Steam engine and boiler-ISCO 8182, Mining and quarrying laborers-ISCO 9311, Hand packers-ISCO 9321 and Manufacturing labourers not elsewhere classified- ISCO 9329. Important differences were identified in terms of the amount of scientific information available comparing countries income level groups. Conclusion: This is an initial effort to understand occupational asbestos exposures at the global level. Since is based on peer-reviewed scientific studies published in English, asbestos occupational exposures in several countries that are current asbestos consumers and producers were not identified. Thus, there is an open invitation to complement this initial effort to identify asbestos occupational exposures in countries that lack adequate scientific information. Key words: asbestos, occupational exposure, IJEMA, occupational code INTRODUCTION Asbestos are commercially exploited mineral fibers which are classified in two major groups: serpentines and amphiboles. Amphiboles include five varieties: anthophyllite, amosite, crocidolite, tremolite, and actinolite (U.S. Department of the Interior, 2000). Serpentines include only one variety, called Chrysotile or “white asbestos”. Asbestos have many industrial applications because of several desirable characteristics such as resistance to almost all types of degradation (biological, chemical and physical), little reactivity to chemicals, high tensile strength, good sound insulation, and high adsorption capacity of heat and electricity (Canadian Centre for Occupational Health and Safety, 2013).
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International Job Exposure Matrix for Asbestos – IJEMA
Juliana Uribe, Ken Takahashi, Juan Pablo Ramos-Bonilla, Manuela M. Valenzuela, Margarita M. Giraldo,
David S. Infante
ABSTRACT
Introduction: Workers in different occupations have been and are currently exposed to asbestos during asbestos mining, and in the manufacturing, use, and disposal of asbestos containing products. Although some of the occupations and industries in which asbestos exposure occurs have been identified in previous studies for some countries, the results in terms of asbestos exposure by occupation can be radically different between countries. The purpose of this study is to construct an International Job-Exposure Matrix of Asbestos (IJEMA), based on the scientific information available, linking occupation and asbestos exposure at the country level. Methods: Countries were classified by income group, following the country-income classification of the World Bank. Two search cycles were conducted using PubMed as the main search engine. A database was created based on the search cycle. To include an article in the elaboration of the IJEMA, the following criteria were applied: 1. the study had to be fully written in English, 2. the article should have been peer reviewed, and 3. the study clearly mentioned asbestos exposure in an occupation. Occupations identified as having asbestos exposure were classified following the International Standard Classification of Occupations – ISCO-08, to build the International Job Exposure Matrix for Asbestos. Results: The most common occupations identified as having asbestos exposures were: Managers in construction- ISCO 1323, Supply, distribution and related managers- ISCO 1324, Civil engineering-ISCO 2142, Mechanical engineering- ISCO 2144, Chemical engineering-ISCO 2145, Mining engineering, metallurgists and related professionals-ISCO 2146, Power production plant operators-ISCO 3131, Process control technicians-ISCO 3139, Ships' engineers- ISCO 3151, General office clerks- ISCO 4110, Stock clerks-ISCO4321, Fire-fighters-ISCO 5411, Inland and coastal waters fishery workers-ISCO 6222, Insulation workers-ISCO 7124, Plumbers and pipe fitters-ISCO 7126, Welders and flamecutters-ISCO 7212, Sheet-metal workers- ISCO 7213, Motor vehicle mechanics and repairers- ISCO7231, Building and related electricians-ISCO 7411, Miners and quarries- ISCO 8111, Mineral and stone processing plant operators-ISCO 8112, Cement, stone and other mineral products machine operators-ISCO 8114, Steam engine and boiler-ISCO 8182, Mining and quarrying laborers-ISCO 9311, Hand packers-ISCO 9321 and Manufacturing labourers not elsewhere classified-ISCO 9329. Important differences were identified in terms of the amount of scientific information available comparing countries income level groups.
Conclusion: This is an initial effort to understand occupational asbestos exposures at the global level. Since is based on peer-reviewed scientific studies published in English, asbestos occupational exposures in several countries that are current asbestos consumers and producers were not identified. Thus, there is an open invitation to complement this initial effort to identify asbestos occupational exposures in countries that lack adequate scientific information. Key words: asbestos, occupational exposure, IJEMA, occupational code
INTRODUCTION
Asbestos are commercially exploited mineral fibers which are classified in two major groups: serpentines and amphiboles. Amphiboles include five varieties: anthophyllite, amosite, crocidolite, tremolite, and actinolite (U.S. Department of the Interior, 2000). Serpentines include only one variety, called Chrysotile or “white asbestos”. Asbestos have many industrial applications
because of several desirable characteristics such as resistance to almost all types of degradation (biological, chemical and physical), little reactivity to chemicals, high tensile strength, good sound insulation, and high adsorption capacity of heat and electricity (Canadian Centre for Occupational Health and Safety, 2013).
Despite all the industrial applications of the material, asbestos are classified as hazardous materials and exposure to asbestos can have negative consequences for human health. Asbestos exposure can result in the development of different diseases, including asbestosis, mesothelioma, and cancer of the lung, larynx, and ovaries (IARC, 2012). Some of the asbestos containing products that have been manufactured and distributed globally for decades include automobile friction products (e.g., brake and clutch pads), cement and construction products (e.g., cement pipes, roofing products, floor tile, ceiling tiles), a type of protective clothing (e.g. gloves, coats and boots), asbestos containing industrial products (e.g. valve packing material, gaskets), and other products including cigarette filters and gas masks (Cheng, 1986), (Cely-García, 2014), (Burdett G. J., 1994), (Sheehan, 2010), (Lange, 2002), (Keyes, 1991), (Markowitz, 1991), (Millette, 1993), (McKinnery, 1992), (Talcott, 1989), (Acheson, 1982). Workers in different occupations have been and are currently exposed to asbestos during asbestos mining, and in the manufacturing, use, and disposal of asbestos containing products. Some of the occupations that have been identified as being potentially exposed to high asbestos concentrations include miners that work in asbestos extraction, workers in manufacturing facilities of asbestos containing products (e.g., textile industry, cement industry) or stationary and plant machine operators in industries related with the use of asbestos (e.g., paper industry, rubber industry and shipyard industry), maintenance and renovation workers that during repair processes manipulate asbestos containing products installed in buildings (e.g., electricians, carpenters, roofers, floor and tile settlers, plasters, painters, bricklayers, welders, plumbers, insulation and sheet metal workers) and laborers that during the production and post-production process manipulate asbestos waste (e.g. cleaners, chimney sweeps, freight handlers and refuse workers) (Berry, 2012), (Nayebzadeh, 2006), (Sluis-Cremer, 1970), (Menegozzo S. , 2011), (Loomis D. , 2010), (Andersson, 2013), (Straif, 1999), (Tomioka, 2011), (Hodgson, 1988), (García-Closas, 1995), (Pairon, 1994) (Burdett G. , 2007), (Bard, 2007), (Lilis, 1992), (Järvholm,
2014), (Kishimoto, 2000), (Hogstedt, 2013), (Quinn, 1987), (Breysse, 2005). There are studies that have tried to determine the association between asbestos exposure in specific industries and health consequences in workers. Examples of these type of studies include the risk analysis conducted to determine the incidence of lung cancer in a cohort of workers of an asbestos cement industry in Denmark (Raffn, 1998), the complete analysis of the asbestos consumption, use and occupational exposure related to the development of lung cancer and mesothelioma in Japan (Takahashi, 2013), the analysis of the exposure-response relationship between cancer risk and asbestos in a textile industry in China (Deng, 2012), the cancer incidence analysis made in the Chongqing asbestos plant in China (Zhong, 2007), the Job Exposure Matrix (JEM) developed for a North Carolina textile plant (Dement, 2009), the comparison against this later case and the lung cancer incidence in a South Carolina textile plant (Elliott L. , 2012), and the analysis of the incidence of mesothelioma in a Connecticut friction products plant (Finkelstein, 2010). Because of health risks resulting from asbestos, several initiatives have tried to identify at the country level occupations that can result in asbestos exposure. Thus, specific methods have been developed to link asbestos exposure with industries and occupations. The methods most commonly used are the occupational exposure databases, the job-exposure matrix (JEM), and the task- exposure matrix (TEM). The occupational exposure databases summarize the information available to estimate the number of workers occupationally exposed to a specific agent. Some examples of these databases are the CAREX (International Information System on Occupational Exposure to Carcinogens), that estimates by industry the number of workers occupationally exposed to carcinogens in the EU from 1990 to 1993, and the NOES (National Occupational Exposure Survey) in which carcinogen and not carcinogen substances are taken in to account (Mannetje, 2003). The JEM method links in a matrix the occupations and industry codes (rows) with the occupational hazards (columns). The cells of the matrix represent an estimation of the occupational exposure to each agent in a specific job (Moual,
1995). There are two classes of JEM: the general population job-exposure matrix (GPJEM), and the industry- specific job-exposure matrix (ISJEM). The GPJEM takes into account all possible occupations in which the exposure can occur, and the ISJEM only considers the job and task developed in a specific industry (Mannetje, 2003). An example of the former is the development of a GPJEM to relate the occupational exposure to asbestos in parents of child’s with cancer, and some of the occupations identified in this GPJEM included motor vehicle mechanics, electricians, and carpenters (Feingold, 1991). The TEM relate the job or task with the exposure to an occupational hazard. This method was developed to correct potential misclassification of the jobs that develop multiple tasks called “multitasking jobs” in which each of the tasks has different profiles exposures (Benke, 2000). An example of the use of this method is the development of a TEM to relate 12 common asbestos tasks (rows) with the use of asbestos products (columns) (Hyland, 2010). Although some of the occupations and industries in which asbestos exposure occurs have been identified in previous studies for some countries, the results in terms of asbestos exposure by occupation can be radically different between countries. Furthermore, asbestos regulations vary greatly between countries, which can results in different exposure levels by occupation and important changes over time when countries with different income levels are compared. Most high-income countries in the world have more stringent regulatory standards and even have imposed complete asbestos bans, while most low- and middle-income have lax or nonexistent asbestos standards. As it can be noted in Figure 1, the percentage of high-income countries that have banned asbestos is approximately twice of the percentage of countries from upper-middle income economies that have banned asbestos.
Figure 1. Percentage of countries that have banned
asbestos by income group (IBAS, 2010)
These differences between countries in terms of the scientific information available at the country level could determine that in some countries there are occupations that are currently exposed to asbestos and have not been identified. Furthermore, approaching the problem of occupational exposures to asbestos has been done at the country level only. Therefore, two important questions remain unanswered: 1 – Is there an unbalanced distribution between countries of scientific studies that analyzed occupational exposure to asbestos? And 2- from a global perspective what are the occupations in which asbestos exposure occur in each country? The propose of this study is to construct an International Job-Exposure Matrix of Asbestos (IJEMA), based on the scientific information available, linking occupation and asbestos exposure at the country level. METHODOLOGY Figure 2 presents a flow chart of the methodology followed described. Search strategy The first step in this study was to classify countries by income groups, following the country-income classification of the World Bank (2014): Low income- US$1,035 or less (36 counties), Lower-middle income- between US$1,036 and US$4,085 (48 countries), Upper-middle income-between US$4,086 to US$12,615 (55 countries) and High income- US$12,616 or more (75 countries).
53%
18%
3% 0%High incomeeconomiesUpper incomeeconomiesLow-middle sincomeeconomiesLow income
(75)
(55)
(48)(36)
Once the classification was done, the search began by using PubMed as the main search engine. The search was made using the combinations of key words that are presented below (i.e. identified in Fig. 2 as step 1):
Asbestos [country name]
Asbestos occupational exposure [country name]
Asbestos job exposure matrix [country name]
Asbestos workers [country name]
For countries that resulted in large number of studies using the key words listed previously, additional key words were employed in the search:
Chrysotile asbestos workers [country name]
Amphiboles asbestos workers [country name]
One additional cycle of search was also implemented (i.e. identified in Fig. 2 as step 2). It contains four specific searches, each one with a concrete purpose: 1. A search for articles using the key words “asbestos occupation”, to find identify that have an objective similar to the purpose of this study.
2. A search for the articles mentioned in other articles. This search was conducted to consider articles that were not included in the PubMed database, but that could be relevant for the purposes of the study.
3. A search of Job Exposure Matrix (JEM) was conducted for specific countries. This search was made to identify potential JEM developed at the country level.
4. A search was made to found the studies of occupations and asbestos exposure produced by international agencies, including CAREX (European Union), NOES (United States), FINJEM (Finland), COLCHIC (France), MEGA (Germany), WAUNC (Netherlands), NEDB (United Kingdom) and ATABAS (Denmark). To verify the previous searches, two members of the group made independent searches to identify potential articles that were not captured in the original search cycle. From each article identified, independently of the approach used to identify them, a database was created including the following information: Country were the study was conducted, key words used in the search, engine of search, date of search,
first author, title of the article, journal, volume and issue, year of publication, pages, URL occupation or industry analyzed, measure of the exposure used, type of asbestos involved identified in the study, and a summary of the article was elaborated with key aspects related to the objective of this study.
Inclusion criteria To be considered for the development of the IJEMA, the following criteria were applied to select articles (i.e. identified in Fig. 2 as step 3): 1. The study was fully written in English. 2. The article was must have been peer reviewed.
3. The study specifically mentioned asbestos exposure in an occupation.
4. The study belonged to one of the following four study designs: Exposure assessment studies, health outcomes studies (e.g., mesothelioma cases), mortality studies, and review studies. Occupational Matrix development process Occupations were classified following the International Standard Classification of Occupations – ISCO-08. (i.e. identified in Fig. 2 as step 4): This code of occupations is part of the international family of economic and social classifications and is one of the international codes that are managed by the International Labour Organization (ILO) (International Labour Organization (ILO), 2010)). This classification allows for a standardized language related to occupations. Thus, for the articles included in this study the specific occupation identified in each article was classified according to the ISCO-08. The code uses the concepts of job, occupation and skill as a basis of the classification structure. A job is understands as the labors or assignments performed by one worker, these definition include both, employer and self-employment, an
occupation refers to a person that develop more than one labors with a high level of similarity and the skill is more related with the aptitudes and competence to performance the job. Under these three concepts, the occupations are organized into Major groups, Sub-major groups, Minor groups and Unit groups according to the level of specialization. For example: Major group 5: Services and Sales workers contains the Sub-major Group 51: Personal Services Workers that contains the Minor Group 511: Travel attendants, Conductors and Guides and is derived in 3 Unit groups 5111: Travel attendants and Travel Stewards, 5112 Transport Conductors and 5113 Travel Guides. (International Labor Office (ILO), 2008). Each of the Major groups involves a skill or educational level. Skill level 1 involves repetitive hand-made tasks and it requires primary educational level, skill level 2 involves the use of machinery and electronic equipment, and it requires post-secondary educational level, upper-secondary educational level or lower-secondary educational level, skill level 3 involves more complex and specialized technical tasks, and it requires first stage of tertiary education (short or medium duration), and skill level 4 involves complex problem-solving and decision making based on the knowledge of specialized fields, and it requires first stage of tertiary education, 1st degree (medium duration) or second take of tertiary education (International Labor Office (ILO), 2008) (See ¡Error! No se encuentra el origen de la referencia.¡Error! No se encuentra el origen de la referencia. (Table 1)). In some cases there was not an exact match between the ISCO-08 code and the occupation described in the study. The following list shows some of these occupations that were described in the literature as exposed to asbestos, and how they were classified in ISCO-08:
1. Lagger: 7124 Insulation workers 2. Boilermaker: 7213 Sheet metal worker 3. Store man: 5221 Shop keepers 4. Walf: 6222 Inland and coastal waters
fishery workers
5. Shipyard workers 723 Machinery mechanics and repairers+ 821 Assemblers+71 construction workers.
6. Skilled worker: This code is divided into skill levels, so in this case this category is related with the minimum skill level (9).
7. Demolition worker: 7119 Building frame and related trades workers not elsewhere+9313 Building construction laborers
8. Drywall construction worker: 7123 Plasterers
9. Material handler: 9333 Freight handlers 10. Cigarette and filter manufacturing :
9629 Elementary workers not elsewhere classified
11. Foundry as workshop// cast: 7211 Metal molders and core makers
12. Warehousing//store house: 9334 Shelf fillers
13. Foremen // supervisor: 312 Mining, manufacturing and construction supervisors
14. Paviour// reinforced concrete workers: 7114 Concrete placers, concrete finishers and related workers
26. Sailor // seafarers: 3152 Ships' deck officers and pilots
27. Iron worker // metal plater:7221 Blacksmiths, hammer smiths and forging press workers
28. Coast Guard personnel// U.S. Navy personnel: 0310 Armed forces occupations, other ranks
29. Gauge mechanic: 7222 Toolmakers and related workers
30. Maritime trade: 3324 Trade broker 31. General manufacturing process: some
classification of the section 81: Stationary plant and machine operators + 932 Manufacturing laborers. For example: workers from an asbestos textile industry were classified: 815 Textile, fur and leather products machine operators+932 Manufacturing laborers
32. Miners and mil workers: 8111 Miners and Quarriers + 8112 Mineral and stone processing plant operators+ 9311 Mining and quarrying labourers
RESULTS
A total of 1030 articles were reviewed, and 604
contained information relevant for IJEMA, (i.e.,
426 were excluded) (Table. 2). The number of
articles relevant for this study varies considerably
between income level groups: Countries classified
as high income economies had 81.4% of the
articles, countries classified as upper-middle
income economies had 13.0% of the articles,
countries classified low-middle income economies
had 4.8% of the articles, and countries with low
income economies had 0.9% of the articles.
(Figure. 3)
Table 2. Number of articles identified by country
income level group
Figure 3. Percentage of articles included by
country income
Among the high-income group, the top ten
countries in terms of articles with documented
occupational asbestos exposures were the United
States (N =127), United Kingdom (N=44), Italy
(N=39), Canada (N=30), Sweden (N=29), Australia
(N=25), Japan (N=23), France (N=19), Finland
(N=18), and Germany (N=16). Among the upper-
middle income group, the top five countries in
terms of articles with documented occupational
asbestos exposures were China (N=26), South
Africa (N=22), Brazil (N=9), Iran (N=9), and
Turkey (N=5). In the lower-middle income
economies, India (N=15), Egypt (N=6), Kosovo (3),
and Nigeria (2) had the largest number of articles,
and in the low income group only two countries
had articles: Zimbabwe (2) and Bangladesh (1).
Table 3 show the number of articles included and
excluded by country and income group in the
elaboration of IJEMA. Since some articles
identified occupational exposures in more than
one country, a column was included in Table 3
display the number of multiple country articles
that were reviewed, since this could create
81%
14%
4% 1%High income
Upper-middleincome
Lower-middleincome
Low income
Income Total of
countries Articles
included Articles
excluded High income 75 482 352
Upper-middle income
55 88 46
Lower-middle income
50 31 18
Low income 34 3 6
Total 214 604 426
discrepancies regarding the total number of
articles included.
Figure. 2, Methodology used in the elaboration of the International Job-Exposure Matrix for Asbestos.
6- Skilled agricultural, forestry and fishery workers
7- Craft and related trades workers 8- Plant and machine
operators, and assemblers C
ou
ntr
y/
Occ
up
ati
on
al
gro
up
Sk
ille
d a
gri
cult
ura
l,
fore
stry
an
d f
ish
ery
w
ork
ers
(6
)
Ma
rke
t-o
rie
nte
d s
kil
led
a
gri
cult
ura
l w
ork
ers
(6
1)
Ma
rke
t-o
rie
nte
d s
kil
led
fo
rest
ry, f
ish
ery
an
d
hu
nti
ng
wo
rke
rs (
62
)
Su
bsi
ste
nce
fa
rme
rs,
fish
ers
, hu
nte
rs a
nd
g
ath
ere
rs (
63
)
Cra
ft a
nd
re
late
d t
rad
es
wo
rke
rs (
7)
Bu
ild
ing
an
d r
ela
ted
tr
ad
es
wo
rke
rs, e
*clu
din
g
ele
ctri
cia
ns
(71
)
Me
tal,
ma
chin
ery
an
d
rela
ted
tra
de
s w
ork
ers
(7
2)
Ha
nd
icra
ft a
nd
pri
nti
ng
w
ork
ers
(7
3)
Ele
ctri
cal
an
d e
lect
ron
ic
tra
de
s w
ork
ers
(7
4)
Fo
od
pro
cess
ing
, wo
od
w
ork
ing
, ga
rme
nt
an
d
oth
er
cra
ft a
nd
re
late
d
tra
de
s w
ork
ers
(7
5)
Pla
nt
an
d m
ach
ine
o
pe
rato
rs, a
nd
ass
em
ble
rs
(8)
Sta
tio
na
ry p
lan
t a
nd
m
ach
ine
op
era
tors
(8
1)
Ass
em
ble
rs (
82
)
Dri
ve
rs a
nd
mo
bil
e p
lan
t o
pe
rato
rs (
83
)
United Kingdom
* * * * * * *
United States
* * * * * * *
Uruguay * * * * * * * * *
Upper-middle income countries
Botswana * Brazil * Bulgaria * China * * * * * Colombia * Hungary * * * * * * * * Iran * * * * * * * Jamaica * * Lebanon * * * * Libya * Malaysia * * Mexico * South Africa
* * * * * * * * *
Thailand * * * Turkey * * * *
Lower-middle income countries Egypt * * India * * Kosovo * Nigeria * Vietnam *
Low income countries
Bangladesh * Zimbabwe *
Table 8 displays which countries had asbestos
exposures for the major occupational group 9-
Elementary occupations. Countries from all four
income groups were identified with asbestos
exposures among these occupational groups,
including five countries from the lower-middle
income group and one country from the low-
income groups.
Table 8. Occupations identified in major group: 9
9- Elementary occupations
Co
un
try
/O
ccu
pa
tio
na
l g
rou
p
Ele
me
nta
ry o
ccu
pa
tio
ns
(9)
Cle
an
ers
an
d h
elp
ers
(9
1)
Ag
ricu
ltu
ral,
fo
rest
ry a
nd
fi
she
ry l
ab
ore
rs (
92
)
La
bo
rers
in
min
ing
, co
nst
ruct
ion
, ma
nu
fact
uri
ng
a
nd
tra
nsp
ort
(9
3)
Re
fuse
wo
rke
rs a
nd
oth
er
ele
me
nta
ry w
ork
ers
(9
6)
High income countries Australia * * * Austria * Belgium * Canada * * * Croatia * Denmark * * * Estonia * Finland * * * France * * * Germany * * * * Greece * Hong Kong * Iceland * * Ireland * Israel * Italy * * * * * Japan * * * Korea Rep * * * Kuwait * Lithuania * The Netherlands
* * *
Norway * * Poland * Russia * Singapore * Slovak rep * Slovenia * Spain * * Sweden * * Switzerland * United Kingdom
* * * *
United States * * * * Uruguay *
Upper-middle income countries Brazil * Bulgaria *
9- Elementary occupations
Co
un
try
/O
ccu
pa
tio
na
l g
rou
p
Ele
me
nta
ry o
ccu
pa
tio
ns
(9)
Cle
an
ers
an
d h
elp
ers
(9
1)
Ag
ricu
ltu
ral,
fo
rest
ry a
nd
fi
she
ry l
ab
ore
rs (
92
)
La
bo
rers
in
min
ing
, co
nst
ruct
ion
, ma
nu
fact
uri
ng
a
nd
tra
nsp
ort
(9
3)
Re
fuse
wo
rke
rs a
nd
oth
er
ele
me
nta
ry w
ork
ers
(9
6)
China * * Hungary * Iran * * Libya * Malaysia * Mexico * South Africa * * * Thailand * Turkey * *
Lower-middle income countries Egypt * * Indonesia India * Nigeria * Vietnam *
Low income countries Zimbabwe *
Asbestos consumption and production by
income level group
Since there were major differences in terms of the
scientific information available based on income
group, asbestos consumption and production was
also determined by income level, identifying
countries that either produce or consume asbestos
that do not have studies to establish occupational
exposures.
Figure 4 shows that during the 2009-2012 period,
the majority of the countries that consume
asbestos belong to the upper-middle and lower-
middle income groups. Only two countries
classified in the high-income group (Russia and
Uzbekistan) are among the countries with the
highest asbestos consumption. In upper-middle
group China had the largest consumption of
asbestos followed by Brazil. In the case of lower-
middle income group India figured as one of the
highest asbestos consumers. (U.S Department of
Interior, 2013). Among the top 20 asbestos
consuming countries, Uzbekistan, Sri Lanka,
Ukraine, Belarus, Cuba, Pakistan, Kyrgyzstan,
Turkmenistan, Bolivia, Kazakhstan and Ecuador
had no studies to determine occupational
exposures to the material.
Figure. 4 The first 20 countries leaders in asbestos
consumption during 2009-2012
As Figure 5 shows, during the 2009-2013 period
the majority of the countries that produce
asbestos belong to the high income and upper-
middle income economies. Only two countries that
are classified in the high-income group (Russia
and Canada) are listed in the group of countries
with the highest asbestos production. In the
upper-middle group, the pattern of production are
similar to the ones observed for consumption.
China leads the world production in this group
followed by Brazil, Kazakhstan and Argentina. In
the case of lower-middle income group and low
income groups, the patterns of production are also
similar to the patterns of consumption. (U.S
Department of Interior, 2013). Among the top 7
asbestos producing countries, Argentina and
Kazakhstan had no scientific studies to determine
occupational exposures to the material.
Figure. 5 The first 7countries leaders in asbestos
production during 2009-2013
DISCUSSION
We want to highlight what we consider are some of the most important contributions of this work:
The IJEMA synthesizes, based on the peer reviewed literature, what we know regarding occupational exposures to asbestos at the global level
The IJEMA also identifies knowledge gaps
regarding occupational asbestos
exposures, determining what seems to be
a reduced amount or lack of scientific
evidence in countries that currently
consume and produce asbestos.
The IJEMA could also be a useful tool for
those countries that have weak
institutions and research communities to
conduct proper surveillance regarding
asbestos use and consumption, to
prioritize their efforts in understanding
the asbestos problem within their
borders.
Results of this study clearly indicate that there are a large number of countries that belong mostly to low, low-middle, and upper-middle income
0
500
00
01
00
00
00
150
00
00
2009 2010 2011 2012
High income Upper-middle income
Lower-middle income Low income
Year
Metr
ic T
ons
0
500
00
01
00
00
00
150
00
00
2009 2010 2011 2012 2013
High income Upper-middle income
Lower-middle income Low incomeM
etr
ic T
ons
Year
economies that have insufficient scientific studies analyzing the potential risks resulting from asbestos production and consumption. Thus, it is possible that the absence of asbestos exposures in IJEMA in certain occupations and countries is the result of the lack of scientific studies, when in reality workers are in fact exposed to asbestos in these occupations and countries. Furthermore, most of the scientific evidence used to construct the matrix comes from high-income countries, and this could bias the results. For this reason, although the process followed in the construction of this International Job Exposure Matrix for Asbestos has been rigorous, as authors we recognize that this is an initial effort. We invite other scientists to complement and improve this work as more peer-reviewed information is identified or developed. We also acknowledge that by including articles only written in English could have missed scientific information valuable in the construction of IJEMA. Nevertheless, the inclusion of articles could have resulted in bias (i.e., as authors we could have included articles written in Spanish and Japanese, but no other languages), and it could also become a barrier in the peer review process of this initial effort. Again, as authors we invite other researchers to complement the information displayed in this initial effort, maintaining the rigorous process we have followed. For example, in countries that belong to the high- income group, the most common occupations that have asbestos exposures belong to the major occupational group 7th - craft and related trade workers. In fact, a total of 16 unit occupations in 28 high income countries were identified in major occupational group 7th. However, in countries that belong to upper-middle, low-middle, and low income economies, the scientific information available for occupations belonging to major occupational group 7th was scarce. As authors we know that construction products that contain asbestos are produced and widely distributed in Colombia (High-middle income economy), but we could not identify one single article analyzing asbestos exposure and use in the occupational
group ISCO 71 - building and related trades workers. Moreover, in countries that have low-income economies, only two unit occupations were identified as having asbestos exposure among the major occupational group 7th,: ISCO 7113 - stonemasons, stone cutters, splitters and carvers, and ISCO 7219 - blacksmiths, hammer smiths and forging press worker. No countries belonging to the low-income group had studies identifying asbestos exposure in the major occupational group 7th. Therefore, it is expected that in this countries the most common occupations exposed to asbestos (identified in Table 4) as: Insulation workers- ISCO 7124 and plumbers and pipe fitters- ISCO 7126, Welders and flamecutters-ISCO7212, Sheet-metal workers-ISCO 7213 and Building and related electricians-ISCO 7411, had been currently exposed to asbestos and the scientific community have not identified jet. What was previously described for the major occupational group 7th occurs in all the other major occupational groups. In the high-income group asbestos exposure were identified in at least one unit occupation of all the major occupational groups. However, in the upper-middle, lower-middle and low income groups, the few countries that have scientific information showed that most of the asbestos exposure occur in the industrial sector (occupational major groups 8 th and 9th ).
In the United States for example, the US Occupational Safety and Health Administration (US OSHA) estimates that 1.3 million workers can be experiencing significant asbestos exposure at the workplace (OSHA, 2008).In Europe, it is estimated that 1.2 million workers are expose to asbestos in 41 industries. Most of these workers (aprox. 96%) are employed in the following 15 industries (International Agency of Reseach on Cancer (IARC), 2012):
Table 9. Number of workers exposed by industry
Industries Number of workers exposed to asbestos
Construction 574000
Personal and household services
99000
Other mining 85000 Agriculture 81000 Wholesale and retail trade and restaurants and hotels
70000
Food manufacturing 45000 Land transport 39000 Manufacture of industrial chemicals
33000
Fishing 25000 Electricity, gas and steam’
23000
Water transport 21000 Manufacture of other chemical products
19000
Manufacture of transport equipment
17000
Sanitary and similar services
16000
Manufacture of machinery, except electrical
12000
The type and quality of information available regarding asbestos occupational exposures for the US and Europe, described above, should be also available for all countries and regions of the world.
Patterns of consumption and production
In several cases, countries with the largest asbestos consumption and production of asbestos are also the countries that lack scientific information to identify asbestos occupational exposures. From the upper-middle income group, China and Brazil lead the group of asbestos consumers in 2012 with 531000 and 168000 metric tons, respectively. In the same year and among lower-middle income economies, India lead asbestos consumption with 473000 metric tons, followed by Indonesia with 162000 metric (U.S Department of Interior, 2013). From this income group, Uzbekistan, Sri Lanka, Ukraine, Belarus, Cuba, Pakistan, Kyrgyzstan, Turkmenistan, Bolivia, Kazakhstan, and Ecuador, which are countries with asbestos consumption,
have no scientific studies to determine occupational exposures to the material. Analyzing the situation in asbestos producing countries, in the upper-middle income economies China, Brazil and Kazakhstan lead asbestos production in 2013 with 420,000, 307,000, and 242,000 metric tons, respectively. In the lower-middle income group, India had the highest production in 2013 240 metric tons (U.S Department of Interior, 2013). From this group, Kazakhstan is a major asbestos producer with no scientific studies to determine occupational exposures to the material. These two patterns were commonly observed in the development of this study: Countries with high asbestos consumption or production lacking scientific information regarding asbestos occupational exposures.
Asbestos in Latin American countries
The leaders of the banning process of asbestos in Latin American countries are Chile and Argentina. Although asbestos consuming countries from the region like Brazil, Colombia and Mexico have scientific information, this information seems insufficient to fully understand the occupational risks derived from asbestos use. Cuba, Bolivia, and Ecuador are cases of great concern, because asbestos consumption and productions is still legal in these countries (i.e., the three were reported as consumers between 2009-2012 (U.S Department of Interior, 2013)), and there are no scientific studies assessing the risk resulting from asbestos. There is an urgent need to improve the quality health and environmental data associated with asbestos (Pasetto, 2014) CONCLUSIONS Many countries that belong to the upper-middle,
lower-middle and low income groups lack
scientific information for the identification of
occupational exposures to asbestos. Countries that
are the leaders in consumption and production of
asbestos in recent years lack sufficient scientific
information to assess occupational asbestos
exposures.
The lack of scientific information regarding asbestos occupational exposures, combined with the absence of strict regulations for the use of asbestos, becomes a major barrier for the identification of occupations and workers at risk, and for the design and implementation of adequate control strategies. The international scientific community should work on the development of scientific evidence to properly understand the occupational risks resulting form the use of asbestos worldwide. This is especially important for those countries with weak health and environmental institutions, and weak scientific communities. Tools like IJEMA can aid the identification of countries and occupations that are at risk because of asbestos exposure, and can also aid the identification of countries and occupations that require more scientific studies. IJEMA can also aid the decisions making process to address the asbestos problem at the country level.
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