As far as national income is concerned, West Asian countries vary largely, spanning from low- to high-income. Over the last hundred years, some of them have made great strides in development thanks to oil resources. Oil and gas-related industries are the leading sources of uncontrolled hydrocarbon emissions, including volatile organic compounds (VOCs), aldehydes, alkenes, and phenols and present increased health risks for workers in oil-related industries (1, 2). Chronic occupational exposure to these compounds can lead to various adverse health effects and place considerable pressure on already high global burden of diseases (3).
This in particular concerns highly volatile, non-methane, and aromatic hydrocarbons benzene, toluene, ethylbenzene, xylene (BTEX), and styrene, which are extracted from petroleum and used in petroleum and chemical industries (4, 5). These compounds are released during various industrial processes and are quickly absorbed by workers through inhalation and skin (6, 7, 8, 9, 10, 11), which can, in turn, lead to neurological, psychological, developmental, liver, and respiratory adverse effects, lung cancer and leukaemia (11, 12, 13, 14).
Increased awareness of health hazards of exposure has led to the introduction of occupational exposure limits (OELs), first in Germany in 1877 and then in the USA in 1910 (15). In the 1940s, the American Conference of Governmental Industrial Hygienists (ACGIH) proposed the threshold limit values (TLVs) (16, 17) and other countries or organizations gradually followed suit with their own OELs to protect the health and well-being of workers and ensure effective risk management strategies (18).
This, however, resulted in uneven standards between countries, so that we now distinguish those “health-based” from those that are adjusted to technical and economic considerations (18, 19).
West Asian countries have used various methodologies to regulate their own OELs. In Iran, the legal authority for OELs is the Centre for Environmental and Occupational Hygiene at the Ministry of Health and it has relied on the ACGIH TLVs in setting the OELs.
The objectives of this review were threefold: 1) to identify available data about exposure to airborne BTEX and styrene at workplaces in West Asian countries, 2) to relate these data to applicable OELs, and 3) to identify research needs for the development of new regulations concerning OELs for chemical pollutants in West Asian countries.
To get as complete coverage of current OELs across the countries in West Asia, we compiled available information from the GESTIS database and online searches for OEL lists from West Asian countries. The European Chemicals Agency (ECHA) webpage was searched for recent EU level recommendations and derived no-effect levels (DNELs) based on the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) regulation (20). Scientific documentation about OELs from the US ACGIH, German maximum workplace concentrations (MAK), Scientific Committee on Occupational Exposure Limits (SCOEL) and ECHA Committee for Risk Assessment (RAC) were compiled and reviewed for information on critical effects, skin notation, carcinogen classifications, and biological monitoring guidance values.
We systematically searched international datasets including PubMed, Scopus, Cochrane Library, CINAHL, ISI Web of Science, ScienceDirect, PROSPERO, and EMBASE to identify articles in English related to occupational exposure to BTEX and styrene in West Asian countries and published between 1980 and 2021. For this purpose, we used several combinations of the key words (benzene, toluene, ethylbenzene, xylene, styrene, occupational exposure, industrial exposure, threshold limit value, occupational exposure limit, recommended exposure level, permissible exposure limit, West Asia, and Middle East) and search criteria, including language and publication year (Table 1).
Search strategy for articles on occupational exposure to BTEX and styrene across major literature databases (slight differences in search strings are owed to different functionality of these systems)
Web of Science | ( |
Scopus | |
PubMed | (Benzene [Title/Abstract] OR Toluene [Title/Abstract] OR Ethylbenzene [Title/Abstract] OR Xylenes [Title/Abstract] OR Styrene [Title/Abstract] OR Volatile Organic compound [Title/Abstract]) |
Cochrane Library | (Benzene [Title Abstract Keywords] OR Toluene [Title Abstract Keywords] OR Ethylbenzene [Title Abstract Keywords] OR Xylenes [Title Abstract Keywords] OR Styrene [Title Abstract Keywords] OR Volatile Organic compound [Title/Abstract]) |
CINAHL (EBSCO) | (Benzene [Title/Abstract] OR Toluene [Title/Abstract] OR Ethylbenzene [Title/Abstract] OR Xylenes [Title/Abstract] OR Styrene [Title/Abstract] OR Volatile Organic compound [Title/Abstract]) |
Embase | |
Science direct from inception |
MESH terms in PubMed and Cochrane including: benzene, toluene, ethylbenzene, VOCs, occupational exposure, occupations, occupational groups, Asia western, oil and gas industry, threshold limit values
First we identified 4199 references that matched our search key terms. Figure 1 shows how we proceeded until we got the final number of 49 full-text articles that met the inclusion criteria: they all had to be original articles in English reporting airborne workplace concentrations of the studied chemicals from 1980 to 2021. We excluded articles not containing original data, such as review articles, case series, and case reports. Each included article was individually assessed for completeness of reporting by two independent reviewers according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist (21).
Search steps to identify full-text articles about occupational exposure in West Asian countries
Both static and personal monitoring studies were included. Quality of sampling was considered sufficient if sampling pump flow rate was between 0.1 and 0.3 L/min, and in case of static monitoring if samplers were placed at the height of 1.5 to 2 m.
After the screening, the data were extracted and cross-checked. Any inconsistencies were resolved by consultation with a third reviewer. The following information was extracted and tabulated: bibliographic information (reference ID, authors, year published, publication type), country where study was performed, industry sector, type of sampling (static or personal monitoring), type of sampler (active/pump or passive sampling), number of exposed workers and non-exposed workers (not applicable to static monitoring), number of area samples (not applicable to personal monitoring), number of individual samples (may be more than one per worker or area), duration of sampling, gender distribution (male/ female; not applicable to static monitoring), mean and standard deviation of age (of exposed and unexposed groups, not applicable to static monitoring), means and standard deviations of BTEX and styrene concentrations across all sections of investigated workplace, and, if applicable, range of means for subsections of investigated workplace and whether the reported concentrations were recalculated to represent the eight-hour (workday) exposure scenario (where the workday was shorter than 8 h).
All reported airborne concentrations were converted to ppm, using the following equation:
This assumes 25 °C and air pressure of 101.325 kPa (760 Torr).
Descriptive results of variables are given as means and standard deviations. For all analyses we used the Statistical Package for Social Sciences (SPSS), version 22 (IBM, Armonk, NY, USA).
Evaluating compliance with an OEL requires assessment of exposure variability for an exposed group. There is also a normative aspect, that is, how certain we wish to be that exposure is unlikely to be exceeded for a small part of the exposed group and how small that group should be. Industrial hygiene guidance documents refer to 70 % certainty that no more than 5 % of similarly exposed workers would experience exposures exceeding the OEL (22, 23). We, however, approached OEL compliance in a simpler fashion, by comparing reported average exposure to the applicable OEL, as the reviewed papers do not report their results in sufficient detail. As airborne exposures are generally log-normally distributed, the arithmetic mean will be a slightly more conservative than the true central estimates of the median or geometric mean. Where reported, we also compared the full range (min–max) of reported exposure to applicable OELs.
Benzene is a well-known carcinogen, although conclusions as to whether its mechanism of action supports a threshold or not differs between OEL expert groups. However, more recent assessments tend to conclude that benzene can be viewed as a threshold carcinogen, and consequently that sufficiently low exposures would protect against cancer risk. Most eight-hour time-weighted averages (TWA) for OELs are 1.6 mg/m3 (0.5 ppm) while the most recent recommendation of ECHA RAC is that of 0.16 mg/ m3 (0.05 ppm) (Table 2).
Comparison of existing OELs and DNELs of BTEX and styrene by institutions and countries
Institution or country | Benzene | Toluene | Ethylbenzene | Xylene (isomers) | Styrene | |||||
---|---|---|---|---|---|---|---|---|---|---|
mg/m3 | ppm | mg/m3 | ppm | mg/m3 | ppm | mg/m3 | ppm | mg/m3 | ppm | |
ACGIH, USA | 1.6 | 0.5 | 75.37 | 20 | 86.84 | 20 | 434.19 | 100 | 85.19 | 20 |
OSHA, USA | 3.19 | 1 | 376.85 | 100 | 434.22 | 100 | 434.19 | 100 | 212.99 | 50 |
NIOSH, USA | 0.32 | 0.1 | 753.7 | 200 | 434.22 | 100 | 434.19 | 100 | 425.97 | 100 |
Australia | 3.19 | 1 | 188.43 | 50 | 434.22 | 100 | 347.35 | 80 | (monomer) 212.99 | (monomer) 50 |
Brazil | - | - | 293.94 | 78 | 338.69 | 78 | 338.67 | 78 | - | - |
Canada | 1.6 | 0.5 | 75.37 | 20 | 86.84 | 20 | 434.19 | 100 | (monomer) 149.09 | (monomer) 35 |
Japan | 3.19 | 1 | 188.43 | 50 | 86.84 | 20 | 217.1 | 50 | 85.19 | 20 |
South Korea | 3.19 | 1 | ||||||||
MAK, Germany | - | - | 188.43 | 50 | 86.84 | 20 | 217.1 | 50 | 85.19 | 20 |
AGS, Germany | 1.92 | 0.6 | - | - | - | - | - | - | - | - |
Netherlands | (0.19*) 0.7 | (0.06*) 0.22 | 150.74 | 40 | 214.07 | 49.3 | 217.1 | 50 | ||
Poland | 1.6 | 0.5 | 99.87 | 26.5 | 198.87 | 45.8 | 99.86 | 23 | 49.84 | 11.7 |
United Kingdom | 3.19 | 1 | 188.43 | 50 | 434.22 | 100 | 217.1 | 50 | 425.97 | 100 |
European Union | 0.32 | 0.1 | 188.43 | 50 | 434.22 | 100 | 217.1 | 50 | - | - |
REACH RAC | 0.16 | 0.05 | - | - | - | - | - | - | - | - |
REACH DNELs** | 0.8 | 0.25 | 192 | 50 | 77 | 100 | 221 | 50 | 85 | 23.5 |
Iran | 1.6 | 0.5 | 75.37 | 20 | 86.84 | 20 | 434.19 | 100 | 85.19 | 20 |
Turkey | 0.32 | 0.1 | 188.43 | 50 | 434.22 | 100 | 217.1 | 50 | - | - |
Carcinogenicity is generally not considered critical for the other substances. However, the International Agency for Research on Cancer (IARC) has classified ethylbenzene as possibly carcinogenic to humans (group 2B) and styrene as probably carcinogenic to humans (group 2A). All of the reviewed substances are potentially neurotoxic, and most of the OELs for toluene, xylene, and styrene take into account some form of neurotoxicity and irritation as critical effects. Assignment of skin notation varies: ACGIH has a skin notation only for benzene, whereas the German MAK commission and SCOEL have assigned skin notations to all BTEX substances but not to styrene. All the substances have several biological guidance values, mostly in urine.
Our review of the 49 full-text articles shows that occupational exposure levels to BTEX and styrene in West Asian countries have not been measured and reported in a structured or uniform manner, and that most reports refer to Iran. Furthermore, studies investigating occupational exposure to styrene are few and far between. The summary of the extracted data is available in Table 3 (24–65). Most studies address exposure in oil-related industries (such as petrochemical, oil refineries, petrol and compressed natural gas stations, and petroleum depots), while the rest looks into exposure in the shoe factories, plastic industries, pesticides production factories, printing, electronics, or steel industries or among beauty salon workers, drivers, and traffic policemen. Average occupational exposure to benzene in oil-related industries is higher than the OELs recommended in Table 2. As shown in Table 4, the mean air concentrations of toluene, ethylbenzene, xylene isomers, and styrene reported by most studies are lower than the recommended OELs for the same country (if any, see Table 2).
Summary of occupational exposure to BTEX and styrene in West Asian countries from data gathered from 49 published articles between 1999 and 2021 (mean ± SD)
References | Publication type | Country | Type of sampling | Industry or workplace | Number of workers (exposed vs unexposed) | Concentration (ppm) Mean ± SD | ||||
---|---|---|---|---|---|---|---|---|---|---|
Benzene | Toluene | Ethylbenzene | Xylene | Styrene | ||||||
(Alabdulhadi et al., 2019) (24) | Cross-sectional | Kuwait | Static | Printing industry | - | 0.0028±0.076 | 0.062±0.101 | 0.118±0.071 | 0.311±0.174 | - |
(Alfoldy et al., 2019) (25) | Cross-sectional | Qatar | Static | Traffic Petrochemical police, | - | 0.038±0.025 | 0.07±0.05 | 0.007±0.009 | 0.009±0.007 | - |
(Al-Harbi et al., 2020) (7) | Cross-sectional | Kuwait | Static | Gasoline station | - | 0.23±0.062 | 0.144±0.07 | 0.085±0.07 | 0.16±0.12 | - |
(Azari et al., 2012) (26) | Cross-sectional | Iran | Personal | Shoe factory | 12 (12:0) | 14.24±1.77 | - | - | - | |
(Baghani et al., 2018) (27) | Cross-sectional | Iran | Static | Beauty salon | - | 0.01±0.009 | 0.0045±0.0041 | 0.0143±0.007 | 0.0031 ±0.002 | - |
(Bagham et al., 2019) (28) | Cross-sectional | Iran | Static | Gas station & CNG | - | 0.145±0.045 | 0.231±0.053 | 0.113±0.031 | 0.209±0.016 | - |
(Bahrami et al., 2007) (29) | Cross-sectional | Iran | Personal | Petrol station | 145 (80:65) | - | - | - | - | |
(Bakhtian et al., 2018) (30) | Cross-sectional | Iran | Static | Taxi driver | - | 0.088±0.008 | 0.088±0.011 | 0.073±0.009 | 0.126±0.015 | - |
(BakoIlu et al., 2004) (31) | Cross-sectional | Turkey | Static | Incinerator Waste | - | 0.051±0.003 | 0.015±0.03 | 0.041 ±0.08 | 0.0057 | |
(Dehgham et al., 2020) (32) | Cohort | Iran | Personal | Steel factory | 372 (372:0) | 4.08±3.25 | 0.32±1.39 | 1.38± 1.35 | - | |
(El-Hashemy and Ali, 2018) (33) | Cross-sectional | Arabia Saudi | Static | Printing copy centre and | - | 0.0067±0.002 | 0.253±0.032 | 0.022±0.005 | 0.73±0.005 | - |
(Farshad et al., 2014) (34) | Cross-sectional | Iran | Static | Waste hospital disposal in | - | 1.23±1.1 | 1.18± 1.2 | 0.58±0.6 | - | |
(Golbabaei et al., 2018) (35) | Cross-sectional | Iran | Personal | Automobile Industry | 40 (36:4) | 0.28±0.08 | 2±0.2 | 3.02±0.08 | - | |
(Golkhorshidi et al., 2019) (36) | Cross-sectional | Iran | Static | Bus terminal driver: | - | 0.108±0.001 | 0.235±0.002 | 0.188±0.001 | 0.304±0.06 | - |
(Hadei et al., 2018) (37) | Case-control | Iran | Static | Beauty salon | - | 0.0034±0.002 | 0.0026±0.0018 | 0.0054±0.004 | 0.0043±0.006 | - |
(Harati et al., 2018) (38) | Case-control | Iran | Personal | Automobile Industry | 80 (40:40) | 1.2±2.08 | 45.8±8.5 | 42.5±23.9 | - | |
(Harati et al., 2020) (39) | Cross-sectional | Iran | Personal | Petrochemical industry | 50 (50:0) | 9.84±2.53 | - | 11.87±4.44 | - | |
(Heibati et al., 2018) (4) | Cross-sectional | Iran | Personal | transfer Petroleum station | 50 (50:0) | 4.07±3.65 | 0.535±0.412 | 0.752±0.812 | - | |
(Hormozi et al., 2019) (9) | Case-control | Iran | Personal | Printing industry | 84 (44:40) | - | - | - | ||
(Hosseini et al., 2015) (40) | Cross-sectional | Iran | Personal | Tyre Factory | 100 (100:0) | 3.2±2.79 | - | - | - | |
(Jalai et al., 2017) (10) | Cross-sectional | Iran | Personal | industry Chemical & police officer | 260 (185:75) | - | - | - | ||
(Javadi et al., 2017) (41) | Cross-sectional | Iran | Personal | Petrol station | 24 (24:0) | 0.242±0.033 | 0.223±0.041 | 0.109±0.025 | - | |
(Karbasi et al., 2020) (42) | Cross-sectional | Iran | Personal | Oil pit worker | 40 (40:0) | - | - | - | - | |
(Maghsodi Moghadam et al., 2013) (43) | Cross-sectional | Iran | Personal | Petrochemical industry | 204 (204:0) | 0.27±0.50 | 0.16±0.59 | 0.8±2.7 | - | |
(Mohamadyan et al., 2019) (44) | Cross-sectional | Iran | Personal | Plastic industry | 53 (53:0) | - | - | - | - | 19.56±9.03 |
(Mohammadyan and Baharfar, 2015) (45) | Cross-sectional | Iran | Personal | Pesticide production factory | 100 (100:0) | - | 4.7±5.5 | - | ||
(Mohammadyan et al., 2019) (46) | Cross-sectional | Iran | Personal | Electronic industry | 59 (59:0) | - | - | - | - | 18.68±5.68 |
(Moradi et al., 2019) (47) | Case-control | Iran | Personal | Beauty salon | 72 (36:36) | 0.015±0.019 | 0.31±0.36 | 0.017±0.021 | 0.055±0.051 | - |
(Moradpour et al., 2017) (48) | Cross-sectional | Iran | Personal | Petrochemical industry | 358 (358:0) | 9.19±1.68 | 11.56±2.94 | 8.88±2.46 | 8.45±8.29 | |
(Moshiran et al., 2021) (49) | Cross-sectional | Iran | Personal | Petrochemical industry | 50 (50:0) | - | - | - | - | 0.455±0.392 |
(Moslem et al., 2020) (50) | Cross-sectional | Iran | Static | Surgery room | - | 0.003±0.0005 | 0.002±0.0004 | 0.004±0.0006 | 0.001±0.0003 | - |
(Nabizadeh et al., 2020) (51) | Cross-sectional | Iran | Static | Paper recycling | - | 0.27±0.01 | 0.28±0.01 | 0.151±0.02 | 1.7±0.007 | - |
(Nassiri and Golbabai, 1999) (52) | Cross-sectional | Iran | Personal | Paint industry | 54 (54:0) | - | 11.2±7.3 | 20.2±4.1 | - | |
(Nazarparvar-Noshadi et al., 2021) (11) | Cross-sectional | Iran | Personal | Tyre factory | 38 (38:0) | 8.65±7.7 | 0.07±0.09 | 0.10±0.14 | 0.07±0.08 | |
(Neghab et al., 2015) (12) | Cross-sectional | Iran | Personal | Petrol station | 60 (60:0) | 0.25±0.083 | 0.39±0.071 | - | 0.69±0.36 | - |
(Omidi et al., 2019) (53) | Cross-sectional | Iran | Personal | slaughterhouse Poultry | 20 (20:0) | 3.65±1.12 | 15.4±0.68 | - | - | |
(Partovi et al., 2018) (54) | Cross-sectional | Israel | Personal | Petrol station | 258 (258:0) | - | - | - | - | |
(Rahimpoor et al., 2014) (1) | Cross-sectional | Iran | Personal | Petrochemical industry | 104 (104:0) | 1.3±4.74 | - | 3.2±7.94 | - | |
(Rahimpour et al., 2018) (55) | Cross-sectional | Iran | Personal | Petrochemical and petroleum depot industry | 84 (84:0) | 12.42±5.95 | - | 32.24±22.1 | - | |
(Ramadan, 2010) (56) | Cross-sectional | Kuwait | Static | Police officer | - | 0.004±0.001 | 0.01±0.008 | 0.0026±0.003 | 0.0138±0.008 | - |
(Rashnuodi et al., 2021) (57) | Cross-sectional | Iran | Personal | Petrochemical industry | 30 (30:0) | 2.62±4.50 | 4.45±7.35 | 2.41 ±1.07 | - | |
(Rezazadeh Azari et al., 2012) (58) | Case-control | Iran | Personal | Petroleum industry depot | 78 (46:32) | 2.72±19.33 | 0.46±1.61 | 3.53±10.84 | - | |
(Rostami et al., 2021) (59) | Cross-sectional | Iran | Personal | Printing copy centre and | 136 (136:0) | 0.029±0.019 | 0.039±0.026 | 0.007±0.0038 | 0.006±0.003 | - |
(Salama et al., 2020) (60) | Cross-sectional | Saudi Arabia | Static | Petrol station | - | 4.09±1.09 | - | 3.97±2.25 | - | |
(Salehpour et al., 2019) (61) | Cross-sectional | Iran | Personal | Petrochemical industry | 80 (40:40) | 5.6±13.66 | - | 8.19±22.20 | 3.48±10.75 | |
(Sarkhosh et al., 2012) (62) | Cross-sectional | Iran | Static | Printing copy centre and | - | 0.0257±0.029 | 0.0713±0.0328 | 0.0083±0.056 | 0.0063±0.024 | 0.0316±0.0352 |
(Shanh et al., 2017) (63) | Cross-sectional | Iran | Personal | Petrochemical industry | 169 (169:0) | 1.21±4.17 | 2.975±6.125 | 3.6±4.32 | 1.97±3.01 | |
(Yaghmaien et al., 2019) (64) | Cross-sectional | Iran | Personal | Landfill plant | - | 0.009±0.005 | 0.011±0.006 | 0.014±0.009 | 0.024±0.014 | - |
(Zoleikha et al., 2017) (65) | Cross-sectional | Iran | Personal | Petrol station | 15 (15:0) | 0.337±0.71 | 0.124±0.13 | 0.092±0.012 | - |
* above ACGIH OELs (benzene 0.5 ppm; toluene 20 ppm; ethylbenzene 20 ppm; xylene 100 ppm; styrene 20 ppm). #above national OELs. SD — standard deviation
Occupational exposure to BTEX and styrene reported for oil-related and solvent-related professions in West Asian countries (mean ± SD, where available)
Country | National OELs | Industry | Benzene (ppm) | Toluene (ppm) | Ethylbenzene (ppm) | Xylenes (ppm) | Styrene (ppm) |
---|---|---|---|---|---|---|---|
Qatar | No | Oil-related | 0.39 | 7.02 | 0.75 | 0.32 | - |
Solvent-related | 0.004 | 0.012 | 0.0046 | 0.016 | - | ||
Kuwait | No | Oil-related | 0.23 | 0.144 | 0.085 | 0.16 | - |
Solvent-related | 0.003±0.038 | 0.03±0.05 | 0.0063±0.03 | 0.162±0.09 | - | ||
Iran | Yes | Oil-related | 5.87±8.18 | 2.28±8.93 | 12.104±17.7 | 3.588±4.52 | |
Solvent-related | 4.53±4.01 | 4.34±5.11 | 10.56±12.28 | 9.585±3.70 | |||
Turkey | Yes | Oil-related | 0.051 | 0.015 | 0.041 | 0.0057 | |
(except for styrene) | Solvent-related | ||||||
Saudi | No | Oil-related | 4.09 | - | 3.97 | - | |
Arabia | Solvent-related | 0.0067 | 0.253 | 0.022 | 0.73 | - | |
Israel | No | Oil-related | 0.41 | ||||
Solvent-related |
* above ACGIH OELs;
Table 4 shows the analysis of reported occupational exposure to BTEX and styrene narrowed down to oil-related and solvent-related industries (such as shoe factories, printing, electronics, automobile industry, pesticide production factory, tyre factories, steel industries, chemical industry, plastic industry, and beauty salons).
Our research shows that occupational exposure limits have been set only in Iran and Turkey, while other countries, even the oil-rich ones of the Persian Gulf, have not set or formally proposed any (Table 4).
Oil and gas industry is run by some of the largest companies in the world, many of which are based in West Asian countries (66) whose gross domestic product (GDP) and economic development significantly surpass that of other countries in the region. Highly developed industry has attracted migrant workers to the point that they make as much as 48.1 % of the total population of the Gulf Cooperation Council countries (67, 68, 69, 70). Yet, despite reports of occupational diseases among migrant workers in West Asian countries (70, 71, 72), levels of occupational exposure to BTEX and styrene are poorly reported.
OELs recommended by different organisations and countries are mostly the product of current scientific knowledge and reflect scientific judgment of those researchers who develop them and they should be reviewed periodically as this scientific knowledge grows (18, 73, 74, 75). Furthermore, it is necessary to assess and record new hypotheses, data, and methods used, as this guarantees the validity of the proposed OELs. Current scientific data and hypotheses used in regulating OELs of chemical compounds are ambiguous or completely unavailable in some countries (76, 77).
However, OEL regulations are not only evidence-based in terms of determining threshold exposure dose without adverse health effects. They also take into account economic and technical capability of the country that is to apply them (78), even though feasibility issues of achieving exposure lower than OELs should not drive decision making. Instead, industrial managers and health experts should be encouraged to lower occupational exposure below science-based limits through effective engineering control, replacement of production sore spots, administrative management control, separation, elimination, or personal protective equipment (PPE) as needed (18, 79).
Currently, however, data needed to accurately assess the risk of occupational exposure to BTEX and styrene are scarce. This information may be available to authorities and organisations in West Asian countries, which we could not access. To the best of our knowledge, in Iran, biological indicators that could help to accurately evaluate occupational exposure to BTEX and styrene during annual worker examinations are not available. Occupational exposure to chemical pollutants in any industry is not regularly monitored.
Our findings, we believe, point to a large problem with (or rather, lack of) occupational exposure and health monitoring in West Asian countries. What each country urgently needs is to identify its own weaknesses in collecting and reporting data from occupational medical surveillance, in economic and technical capabilities of their industries, and in exposure monitoring and control. In addition to respiratory exposure to BTEX and styrene, future studies should also include skin. There is also a need to study dose-response relationships and combined exposure, including alcohol and smoking. Namely, before OELs are adopted or adjusted, it is important to establish actual exposure and health effects in local workers.
For the time being, our results suggest that occupational exposure to benzene may present increased health risk in West Asian countries, whereas exposure to the other compounds is generally lower than the OELs given above. However, these data are random and do not provide a reliable picture of actual exposure in these countries. Given the industrial burden in each of these countries, but most particularly in those with developed oil industry, understanding the current state of exposure and adopting local OELs is crucial to protect the health of a vast number of workers.