SETURI: National estimates of DALY of environmental risks: Difference between revisions

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[[op_fi:Seturi]]
{{assessment|moderator=Erkki Kuusisto}}
'''SETURI''' is a research project that estimates and compares the health impacts of the major environmental stressors in Finland. The common metric applied is [[:en:disability-adjusted life year|disability-adjusted life year]] (DALY).


The purpose of this page is to serve as a forum for estimating DALYs due to exposure to environmental and other risks.  
A large part of the project is presented in Finnish: [[:op_fi:Seturi|Seturi]].


Notes from the meetings are here [http://heande.pyrkilo.fi/heande/index.php/DALY_of_environmental_risks_-_kokousmuistiot [notes]]<br>
The detailed project website is in Heande, which is a protected area. [[:heande:Seturi|SETURI website]].
 
Excel sheet with calculations is [http://en.opasnet.org/en-opwiki/images/d/d3/Copy_of_TTL_Pohja8-221208.xls] <br>
 
Remarks on estimation of risk based on animal data (Eero Priha)
 
[http://en.opasnet.org/en-opwiki/images/5/5c/RISKINARVIOINTI_EL%C3%84INKOKEIDEN_PERUSTEELLA.doc]
 
== <br>  ==
 
== <br>General  ==
 
=== General procedure  ===
 
The aim is to analyze current chemical and physical exposures in Finland and their health consequences. The procedures used a similar to a project done in the Netherlands [[Media:Hollander.pdf|(de Hollander 1999)]] and the Global burden of disease project of WHO [http://www.who.int/topics/global_burden_of_disease/en/ burden of disease]. The work is expected to contribute to a comparative study between Finland, the Netherlands, and Norway [[Media:Study_plan.doc|(Jantunen: Study plan)]]
 
The work will start with selected exposures after which more exposures will be analyzed. The emphasis is on comparability, not comprehensiveness. The selected procedure requires good data on exposure and dose-response, which means that all exposures and all outcomes can not be included.
 
First, the current exposure distribution is estimated for all Finns (or only those exposed). Based on this exposure distribution and the uncertainties in its estimations, the best guess for the average exposure in Finland (or among those exposed) is estimated together with its uncertainty. The uncertainty in the average exposure is expressed by almost lowest possible (5th percentile) and the almost highest possible (95th percentile) value for the average exposure (i.e. as a distribution, more details below).
 
To be able to calculate attributable cases, in addition to current average exposure, one needs to determine, which is the lowest feasibly achievable average exposure in Finland. For several substances this is not zero, e.g. there is a natural background for particulate air pollution.
 
Second, exposure/dose-response functions and their uncertainties (5th and 95th percentiles, as above) are derived for all outcome with sufficient data. It is important that the exposure/dose-response function uses exactly the same exposure/dose marker that was used in the exposure estimation above (more details below).
 
Third, attributable number of cases is estimated by multiplying the exposure difference with exposure/dose-response and number of exposed using probabilistic methods (Monte-Carlo)
 
<br>
 
=== List of selected exposures and responsible persons  ===
 
Criteria 1) Public health effects 2) Concern 3) High exposures in specific groups, e.g. occupational exposures
 
*Indoor radon, UV radiation, EMF STUK/Päivi Kurttio
*Fine particles, ( PAH?)KTL/Juha Pekkanen, Olli Leino
*Formaldehyde, Benzene TTL, Eero Priha
*Acrylamide and other (pesticides, food additives) EVIRA/Tero Hirvonen
*Occupational diseases, wood dust, TTL/Timo Kauppinen
 
*Dioxins, KTL/Olli Leino
*Damp housing, KTL/Ulla Haverinen
*Arsenic, KTL/Hannu Komulainen
*Methyl mercury, KTL/Olli Leino
*Solarium, UV-radiation, Chernabyl STUK Riikka Pastila
*Environmental tobacco smoke, KTL, Otto Hänninen
*CO indoors poisonings, Foodborn epidemics, Waterborn epidemics/Statistics, KTL/Olli Leino<br>
*Noise:
**environmental &amp; residential noise, KTL/Erkki
**occupational noise, TTL?
*Chlorination by-products, KTL/Päivi Meriläinen<br>
*Envrionmental lead/KTL, Otto Hänninen&nbsp;
*Environmental benzene/KTL, Otto Hänninen
*other environmental (fluoride?, 1,3-butadiene, endochrine disruptors, indoor insecticides, ozone, 1,2-dichloroethane)
 
Types of public health issues serving as '''reference''':
 
*Accidents (traffic, occupational, domestic/other), KTL/Olli, TTL<br>
*Alcohol, STAKES/Timo Ståhl
 
== Methods  ==
 
=== Exposure estimation  ===
 
Below link to the exposure assessment done for the earlier exposure seminar of our group
 
[http://www.ttl.fi/Internet/Suomi/Aihesivut/Kemikaaliturvallisuus/Valittua+kemikaalitietoa/suomaltkemsateil.htm Exposure assessment]
 
<br>Occupational exposure data is based on environmental measurements, modelling and other information on exposure factors (e.g. exposure times, skin contact, consumption data etc.). In workplaces exposure varies considerably depending on the sector of industry and even within a factory depending on work task. Also exposure level also changes often during a work day.
 
The following table outlines some occupationally important exposures on Finnish workplaces:
 
=== Dose-response assessment  ===
 
Dose-response information can based on epidemiological studies or in toxicological tests. Epidemiological data is normally preferred to animal tests. However, in most cases dose-response data (e.g. IRIS database) is based animal tests and consequent calculations. In some cases epidemilogical data is suitable for quantitative estimates of risk. In majority of cases, the available epidemiological studies are inadequate and then cancer risks assessment is based on animal bioassays.
 
=== Estimation of DALYs  ===
 
=== Probabilistic risk assessment  ===
 
Probabilistic exposure/risk assessment methods can be used to analyze the exposure and risk more closely. The needed parameters of the used formula/algoritm are given as distributions (e.g. log-normal, normal, uniform, triangular) and the result of simulation are also distributions. Thus different recentiles of risk are obtained.
 
== Exposures and dose-responses for selected exposures  ==
 
=== Indoor radon  ===
 
'''Target population''': All Finnish subjects <br>'''Average radon''''''concentrationi n Finland (mean; 5th; 95th percentile):'''''123; 20; 320 Bq/m3'''
 
Background level = outdoor Rn concentration = '''5 Bq/m3'''
 
'''''<br>'''Number of exposed persons<br>''''''Table 1.''' Distribution of indoor radon concentration in homes in Finland (Mäkeläinen et al. 2005).
 
{| border="1"
|-
| Radon concentration Bq/m<sup>3</sup>
| &nbsp;% of population
| Category Mean Bq/m<sup>3</sup>
|-
| 0-99
| 63
| 58
|-
| 100-199
| 23
| 138
|-
| 200-399
| 10
| 274
|-
| 400 -
| 4
| 842
|}
 
<br>There are differences in Rn concentrations in different parts of the country (figure):
 
&nbsp;[[Image:Radon concentrations map stuk.PNG|300px]]<br>
 
'
 
==== '''Dose-response of Rn and lung cancer'''  ====
 
''''''<br>Based on Darby et al. 2004 and 2006, the relative risk estimate for 100 Bq/m3 changes in Rn concentration increases the lung cancer incidence by 16% (95% CI 5%–31%).'''ERR 0.16; 95%CI 0.05-0.31'''
 
<br>The risk of a non-smoker developing lung cancer before their 75th birthday increases from 0.5&nbsp;% to 0.7&nbsp;% if the radon concentration of the indoor air is in the range of 100 Bq/m3 to 400 Bq/m3. The corresponding figures for those who smoke are an increase from 12 to 16&nbsp;%. Living for 30 years in a place which has a radon concentration of 800 to 1 400 Bq/m3, doubles the chance of developing lung cancer, compared with a dwelling which has a concentration of less than 100 Bq/m3 (Figure below).
 
[[Image:Doseresponse radon cancer.PNG|image:doseresponse_radon_cancer.PNG]]  
 
==== '''Lung-cancer incidence in Finland'''(year 2006)  ====
 
[http://www.cancerregistry.fi/tilastot/3-13-18.html Tilasto]: (M 31.2 + F 10.0=) 41.2 cases/100 000 pyrs, (M 1522 + F 611=) 2133 new lung cancer cases in 2006 in Finland.
 
'''Number of excess deaths'''''in Finnish population: Indoor Rn is associated with 200-400 lung cancer deaths per year in Finland. <br>Of 1000 non-smokers who live in a dwelling which has radon concentration ranging from 100 to 400 Bq/m3, about 5 will develop lung cancer. Of 1000 smokers who live in a dwelling which has a high concentration of radon, about 160 will develop lung cancer. (Darby et al. 2006).''
 
'''Table 2'''. Number of lung cancer deaths caused by radon in homes in the year 2003 in Finland (Mäkeläinen et al. 2005).<br>
 
{| border="1"
|-
| Lifetime indoor radon concentration (Bq/m<sup>3</sup>)
| Males
| Females
| Total
|-
| 0-99
| 102
| 32
| 134
|-
| 100-199
| 69
| 24
| 93
|-
| 200-399
| 58
| 23
| 81
|-
| 400-
| 64
| 28
| 92
|-
| Total
| 293
| 107
| '''400'''
|}
 
<br>
 
''''''Number of excess incident lung cancers'''''''''in Finnish population (mean; min; max): 324; 16; 1222&nbsp;
 
'''The excel sheet with the calculations: [http://heande.pyrkilo.fi/heande/images/8/8d/RnLungcancer.xls Rn lung cancer]'''
 
==== <br>'''References'''<br>  ====
 
Darby S, Hill D, Auvinen A, Barros-Dios JM, Baysson H, Bochicchio F, Deo H, Falk R, Forastiere F, Hakama M, Heid I, Kreienbrock L, Kreutzer M, Lagarde F, Mäkeläinen I, Muirhead C, Obereigner W, Pershagen G, Ruano-Ravina A, Ruosteenoja E, Schaffrath-Rosario A, Tirmarche M, Tomasek L, Whitley E, Wichmann H-E, Doll R. Radon in homes and lung cancer risk: collaborative analysis of individual data from 13 European case-control studies. British Medical Journal 2005; 330: 223–226.
 
<br>Darby S, Hill D, Deo H, Auvinen A, Barros-Dios JM, Baysson H, Bochicchio F, Falk R, Farchi S, Figueiras A, Hakama M, Heid I, Hunter N, Kreienbrock L, Kreuzer M, Lagarde FC, Mäkeläinen I, Muirhead C, Oberaigner W, Pershagen G, Ruosteenoja E, Schaffrath Rosario A, Tirmarche M, Tomášek L, Whitley E, Wichmann H-E, Doll R. Residential radon and lung cancer – detailed results of a collaborative analysis of individual data on 7148 persons with lung cancer and 14 208 persons without lung cancer from 13 epidemiologic studies in Europe. Scandinavian Journal of Work, Environment &amp; Health 2006; 32 Suppl 1: 1–84.
 
<br>Mäkeläinen I, Arvela, H, Kurttio P, Auvinen A. Number of lung cancer deaths caused by radon in Finland. In: Valentin J, Cederlund T, Drake P, Finne IE, Glansholm A, Jaworska A, Paile W, Rahola T (eds). Radiological Protection in Transition – Proceedings of the XIV Regular Meeting of the Nordic Society for Radiation Protection, NSFS – Rättvik, Sweden, 27–31 August 2005. SSI Report 2005:15. Stockholm: Swedish Radiation Protection Authority; 2005. p. 203–206.
 
=== Alcohol (ethanol)  ===
 
Based on cause-of-death statistics and epidemiologic data it was estimated that 1,645 deaths were due to alcohol in Finland in 2002, when also deaths prevented by alcohol use were taken into account&nbsp;(Poikolainen, Kari, Rehm, Jürgen, Zatoński, Witold. Alkoholin osuus kuolleisuuteen Suomessa, Tanskassa ja Ruotsissa vuonna 2002. [English summary: The influence of alcohol on mortality in Finland, Denmark and Sweden in 2002]. Suomen lääkärilehti 2008;63:613-618.)
 
An extrapolation suggests that the respective number was approximately 2,300 deaths in 2006. A new more accurate estimate can be made by applying&nbsp;cause-of-death data from the year 2006.
 
No studies on the influence of alcohol on morbidity are available.&nbsp;
 
=== Fine particles  ===
 
==== '''Target population''':  ====
 
All Finnish subjects aged 35 and above
 
==== '''Average, population weighted, PM2.5 concentration''':  ====
 
So far we don’t have any available data on fine particles concentrations in Finland. The population average concentration can be estimated to be somewhere between 5 and 10 µg/m3 based on measurements done in Helsinki.
 
*Population average concentration (mean; min-max estimate mean): 7.0; 6.0-8.0
*Distribution of population PM exposure 5%; 50%; 95%;: 2; 6; 12;
 
==== '''All non-accidental mortality in Finland (year 2000)''':  ====
 
Mortality counts can be estimated from WHO- [http://www.who.int/healthinfo/morttables/en/index.html mortality database]. The number of non-accidental deaths in Finnish subjects aged 35 and above in year 2000 was&nbsp;?.
 
==== '''Plausibility of the causal association between fine particles and all-cause mortality:'''  ====
 
''''''Estimate here 100%'''''
 
==== '''Concentration-response function for PM2.5 (RR/(10ug/m3))''':  ====
 
Based on Pope et al. 2002 study, the relative risk estimate for 10 µg/m3 changes in PM2.5 concentration is 1.06 and 95% confidence interval 1.02 – 1.11.
 
*Relative risk for PM2.5 (mean; min; max): 1.06; 1.02; 1.11
 
==== '''Low exposure/threshold''':  ====
 
Although current scientific knowledge has not revealed any threshold value for fine particles, for the analysis we use threshold value 5 µg/m3.
 
*Threshold value: 5 µg/m3
 
==== '''Exposure above threshold''':  ====
 
This is the average fine particles exposure above the threshold limit. Estimated by subtracting the threshold from the average exposure.
 
*Population average concentration above threshold (mean; min; max): 2.0; 1;0; 3.0
 
==== '''Relative risk above threshold''':  ====
 
Relative risk estimate for the given exposure. This is estimated from RR-values with formula exp(ln(RR)/10*exposure), that is, for mean estimate exp(ln(1.02)/10*2.0.
 
*Relative risk above threshold (mean; min; max): 1.01; 1.00; 1:03
 
==== '''Attributable risk above threshold''':  ====
 
Percentage change in all-cause mortality due to exposure. Estimate from Relative Risk above threshold with formula -&gt; (RR-1)/RR
 
*Attributable death above threshold (mean; min; max): 1.2%; 0.2%; 3.1%
 
==== '''Number of excess deaths in Finnish population''':  ====
 
Mortality with the current information.
 
*Number of excess deaths in Finnish population (mean; min; max): 877; 150; 2333
 
The excel sheet with the calculations: [http://heande.pyrkilo.fi/heande/images/1/1c/TTL_Pohja8.xls Pohja]<br>
 
=== Formaldehyde  ===
 
Formaldehyde has been classified as a human carcinogen by WHO/IARC (2004). Formaldehyde causes sinonasal cancer in rats (Kerns 1983) already at exposure levels (2-6 ppm) close those occurring at workplaces in the 1970s. In the epidemiological studies, there was sufficient evidence thatformaldehyde causes nasopharyngeal cancer and limited evidence that formaldehyde causes sinonasal cancer in humans.
 
==== '''Dose-response data'''  ====
 
US EPA has established a unit risk for formaldehyde which is 1.3x10-5 per ug/m3. This unit risk (for sinonasal cancer) is based on animal inhalation tests and linearized multistage (LMS) model (upper bound extrapolation from 10% response level). Unit risk means lifetime excess risk at exposure level of 1 ug/m3. The unit determined for formaldehyde can be applied to exposure level under 800 ug/m3.
 
<br>The most important epidemiological study (Hauptman 2004) found SMR 2.1 (1.05-4.21)to nasopharyngeal cancer in workers exposed in formaldehyde/resin industry. For sinonasal cancer excess was less clear, SMR=1.19 (0.38-3.29).
 
<br>It is less clear, if&nbsp; residential formaldehyde&nbsp;exposures cause cancer in humans.&nbsp; Vaughan et al. (1986) found an OR=2.1 (0.7-6.6) of nasopharyngeal cancer for the residents of mobile homes. The formaldehyde concentrations of the&nbsp; American mobile homes were commonly between 100-300 ug/m3 in the 1980s.
 
==== '''Exposure'''  ====
 
People are widely exposed to formaldehyde in homes and at workplaces in Finland. Exposure levels have decreased to less formaldehyde emitting products (particle board, MDF board, textiles, wallpaper etc.). It has been evaluated that about 10000-12000 Finns are exposed to formaldehyde at workplaces (exposure level over background). Of these workers about 2000 has been evaluated (in 2003) to be more heavily exposed so formaldehyde concentration in air may at least occasionally reach the current occupational exposure limit which is 0.3 ppm as 8.h TWA. Background exposure level in Finland is today less than 1 ug/m3 in countryside but it may exceed this (max about 5 ug/m3) in cities due to traffic etc. The highest average exposure levels are in formaldehyde and resin glue industry, in woodboard factories, in woodworking and furniture industries as well as in foundries using furane resin.
 
<br>In Finnish family dwellings formaldehyde levels are currently mainly between 20-80 ug/m3 The&nbsp;level is higher in single family houses being (average about 45 ug/m3)and than in block houses (20 ug/m3 ). The concentrations have considerably decreased since the beginning of the 1980s. The current&nbsp; Finnish limit value for&nbsp;indoor air&nbsp;is 100 ug/m3.
 
<br>
 
==== '''Risk calculations'''  ====
 
Cancer risk (lifetime, excess risk) wascalculated according to the following formula (deterministic point estimate):
 
Risk = Pe= C x ED x UR,
 
C=average&nbsp;exposure ug/m3, ED= exposure duration as proportion of life-time ( working life = 8h/day, 220 days/year, 40 years, total lifespan 70 years
 
UR= unit risk,&nbsp; lifetime excess risk&nbsp;of specific cancer at 1&nbsp;ug/m3 exposure level.
 
Total risk at exposure level d =
 
Pd = Pe (1-Po) +Po, where
 
Pe=excess risk, Po= risk of cancer (nasal, pharyngeal) during lifetime in Finland (from cancer registers)
 
Cancer cases (excess cases) =&nbsp;Pe x Number of exposed
 
<br>
 
==== ''''Results'''  ====
 
<br>
 
The following risks were obtained by combining exposure and unit risks:
 
'''Table 1.'''''Calculated excess risk of occupational sinonasal and number of cases using KymCAREX-database and IRIS unit risk estimates (1.3x10<sup>-5</sup> per µg/m<sup>3</sup>)''
 
<br>
 
<br>
 
{| border="1"
|-
| Code
| Branch of industry
| Estimated exposure level, mg/m3
| Number of exposed
| Lifetime risk of sinonasal cancer
| Cases<br>
|-
| 159
| Manufacture of beverages
| 0.125
| 39
| 0.000203
| 0.00792
|-
| 17
| Manufacture of textiles
| 0.125
| 216
| 0.000203
| 0.00663
|-
| 18
| Production of clothing
| 0.0625
| 648
| 0.000102
| 0.00081&nbsp;
|-
| 20
| Manufacture of wood and products of wood and cork
| 0.50
| 3400
| 0.000813
| 2.7625
|-
| 21
| Manufacture of pulp, paper and paper products
| 0.125
| 208
| 0.000203
| 0.04225
|-
| 241
| Manufacture of basic chemicals
| 0.375
| 114
| 0.000609
| 0.06947
|-
| 243
| Manufacture of paints, varnishes and similar coatings, printing ink
| 0.125
| 17
| 0.000203
| 0.003453
|-
| 252
| Manufacture of plastic products
| 0.125
| 153
| 0.000203
| 0.031078
|-
| 261
| Manufacture of glass and glass products
| 0.125
| 18
| 0.000203
| <br>0.00654
|-
| 268
| Manufacture of other non-metallic mineral products
| 0.125
| 92
| 0.000203
| 0.01867<br>
|-
| 275
| Casting of metals
| 0.125
| 655
| 0.000203
| 0.133047
|-
| 28
| Manufacture of fabricated metal products, except machinery and equipment
| 0.125
| 57
| 0.000203
| 0.011578
|-
| 29
| Manufacture of machinery and equipment n.e.c.
| 0.125
| 70
| 0.000203
| 0.014219
|-
| 361
| Manufacture of furniture
| 0.25
| 4144
| 0.000406
| 1.6835
|-
| 45
| Varnishing of floors with acid-cured lacquers (construction workers)
| 0.50
| 375
| 0.000813
| 0.304688
|-
| 73
| Research and development
| 0.125
| 25
| 0.000203
| 0.005078
|-
| 80
| Education
| 0.125
| 23
| 0.000203
| 0.004672
|-
| 851
| Human health activities
| 0.125
| 309
| 0.000203
| 0.06273<br>
|-
| 92
| <span id="fck_dom_range_temp_1205930525822_246"></span>Recreational, cultural and sporting activities
| 0.0625
| 11
| 0.000102
|
<br>0.00112<br>
 
|-
| 93
| Other service activities
| 0.0625
| 11
| 0.000102
| <br>0.00112
|-
| <br>
| <br>
| <br>
| 10685 (total)
| <br>
| 5.27 (total)
|}
 
<br>
 
'''Table 2.''' Calculated risk levels and cancer cases from formaldehyde among non-occupationally exposed populations based on median exposure levels in the beginning of the 1980s and in the end of the 1990s.
 
<br>
 
{| width="958" cellspacing="1" cellpadding="1" border="1"
|-
| Exposed group<br>
|
Formaldehyde
 
µg/m<sup>3</sup><br><br>
 
| Calc. risk <br>(IRIS)*<br><br>
| Calc. risk<br>(US EPA 1991)**<br><br>
| Exposed <br>population<br><br>
| Cancer cases (IRIS)*<br>
| Cancer cases annually<br>
| <br>
| <br>
|-
| Residents of single family houses, 1980s<br>
| 152<br>
| 1.3x10<sup>-3</sup><br>
| 2.6x10<sup>-5</sup><br>
| 3 094 000<br>
| 3974<br>
|
79
 
| <br>
| <br>
|-
| Residents of block houses, 1980s<br>
| 55<br>
| 4.7x10<sup>-4</sup><br>
| 9.4 x10<sup>-6</sup><br>
| 1 817 000<br>
| 844<br>
| 17<br>
| <br>
| <br>
|-
| Residents of single-family houses, 1990s<br>
| 46<br>
| 3.9 x10<sup>-4</sup><br>
| 7.9 x10<sup>-5</sup><br>
| 3 224 000<br>
| 1253<br>
| 25<br>
| <br>
| <br>
|-
| Residents of block houses, 1990s<br>
| 18<br>
| 1.5 x10<sup>-4</sup><br>
| 3.1x10<sup>-6</sup><br>
| 1 893 000<br>
| 288<br>
| 6<br>
| <br>
| <br>
|}
 
Supposed proportion of time spent indoors 65% (home).
 
==== '''Comparison with cancer statistics'''  ====
 
According to Finnish cancer registry statistics the annual number of new pharynx cancer cases has been between 79-98 (1997-2003) and sinonasal cancers 35-45 (1997-2003). Most sinonasal and pharyngeal cancers are diagnosed in the age groups of 50-65 years.The attributable fraction (AF) of nasopharyngeal cancer is about 0.55 (RR=2.1, Hauptman et al., 2004 and Vaughan, 1987). This suggests that there should be 43-54 npharynx cancers and 19-25 sinonasal cancers annually in Finland. These figures are relatively close to the above exposure based calculations.
 
<br>According to Finnish Cancer Registry data a rough estimated risk of sinonasal cancer during lifetime is about 0,00054 and for pharyngeal cancer about
 
0.00152. Maximal calculated risk from occupational exposure&nbsp;was about 0.000813 (exposure 0.5 mg/m3, manucfacture of wood products).&nbsp;When combining&nbsp;maximum risk of occupational exposure 0.000813 and maximum risk from living in single-family house 0.0013, the total risk from formaldehyde exposure is 0.000813 + 0.0013 = 0.00213. <br>
 
==== '''References'''  ====
 
US EPA,IRIS (Integrated Risk Information System) database. Formaldehyde.
 
Hauptman et al. (2004) Mortality from workers in formaldehyde industries. Am J Epidemiol 159, 1117-1130.
 
Vaughan et al.Formaldehyde and cancers of the pharynx, sinus and nasal cavity: II Residential exposures. Int J Cancer 38, 685-688.
 
<br>
 
=== '''Chemical agents causing occupational diseases'''  ===
 
<br>In&nbsp;rare cases, it is possible to obtain data on attributable cases directly without any information on exposure distributions or dose-response relationships. One such example is the Finnish Register of Occupational Diseases (FROD) which produces annual statistics on different occupational diseases (OD) by exposure.&nbsp;Statistics include also suspected ODs&nbsp;which will finally not be&nbsp;recognized (tendency to over-estimate ODs) but on the other hand, not all incident ODs are identified by physicians (tendency to under-estimate ODs).&nbsp;The numbers of cases due to chemical exposure at work during seven years (1996-2002) are presented in the table below. In some cases the recent ODs originate from exposure 20-30 years ago because of the&nbsp;long latency period from exposure to&nbsp;outcome (eg, all asbestos-induced diseases). However, the latency of most ODs is less than five years, and exposure has not changed substantially suggeesting that these figures (as converted to annual figures) can be used with reasonable confidence to estimate the&nbsp;numbers of cases attributable&nbsp;to present exposure.
 
<br>
 
{| border="1"
|-
| '''Altiste'''
| '''Hengityselinallergiat'''
| '''Ihotaudit'''
| '''Muut'''
| '''Yhteensä'''
|-
| asbestit (etm.)
| <br>
| <br>
| 4250
| 4250
|-
| lehmä
| 889
| 441
| 22
| 1352
|-
| pesuaineet
| 2
| 582
| 22
| 606
|-
| muut kemialliset tekijät (etm.)
| 87
| 243
| 169
| 499
|-
| märkä työ
| <br>
| 370
| <br>
| 370
|-
| vehnäjauho
| 257
| 55
| 11
| 323
|-
| likainen työ
| <br>
| 300
| <br>
| 300
|-
| luonnonkumi (Latex)
| 28
| 236
| 5
| 269
|-
| kumikemikaalit (etm.)
| <br>
| 265
| <br>
| 265
|-
| muut orgaaniset materiaalit (etm.)
| 107
| 30
| 121
| 258
|-
| koristekasvit
| 111
| 119
| 10
| 240
|-
| jauhot (etm.)
| 150
| 62
| 25
| 237
|-
| ohrajauho
| 175
| 26
| 4
| 205
|-
| nikkeli ja sen yhdisteet
| 4
| 184
| 6
| 194
|-
| formaldehydi (metanaali)
| 28
| 139
| 9
| 176
|-
| ruisjauho
| 141
| 20
| 3
| 164
|-
| bisfenoli A:n diglysidyylieetteri (oligomeeri MP 340)
| <br>
| 131
| <br>
| 131
|-
| elintarvikkeiden käsittely
| <br>
| 124
| 1
| 125
|-
| orgaaniset liuotinseokset (etm.)
| 6
| 65
| 51
| 122
|-
| leikkuuöljyt
| 3
| 111
| 2
| 116
|-
| kolofonihartsi
| 7
| 99
| 7
| 113
|-
| tiuraamisulfidit (etm.)
| <br>
| 101
| <br>
| 101
|-
| epoksihartsit ja -muovit
| 7
| 84
| 3
| 94
|-
| kaurajauho
| 83
| 10
| <br>
| 93
|-
| metakrylaatit (etm.)
| 16
| 68
| 2
| 86
|-
| sementti, betoni
| 3
| 74
| 8
| 85
|-
| maalin liuotin
| 2
| 15
| 56
| 73
|-
| kromi(VI)yhdisteet
| 1
| 68
| <br>
| 69
|-
| öljyt ja voiteluaineet (etm.)
| <br>
| 66
| 2
| 68
|-
| kromi ja sen yhdisteet (etm.)
| 11
| 45
| 8
| 64
|-
| kampaajan altisteet (etm.)
| 13
| 33
| 15
| 61
|-
| koboltti ja sen yhdisteet
| 9
| 49
| <br>
| 58
|-
| kvartsi
| <br>
| <br>
| 57
| 57
|-
| voiteluöljyt, vaseliinit
| <br>
| 51
| <br>
| 51
|-
| hitsaushuurut
| 26
| 2
| 21
| 49
|-
| sumut, huurut, pölyt tai käryt (etm.)
| 11
| 7
| 30
| 48
|-
| leikkuunesteet
| 1
| 45
| <br>
| 46
|-
| sika
| 35
| 5
| 4
| 44
|-
| puulajit (etm.)
| 20
| 6
| 16
| 42
|-
| isotiatsolinonin johdannaiset (mm. Kathon CG, Kathon 886 MW)
| 1
| 40
| 1
| 42
|-
| hartsit, muovit ja niiden johdannaiset (etm.)
| 10
| 21
| 10
| 41
|-
| rotta
| 28
| 9
| 2
| 39
|-
| abachi (abatsi)
| 34
| 3
| <br>
| 37
|-
| viljat ja viljapölyt (etm.)
| 20
| 12
| 2
| 34
|-
| hitsaushuurut, ruostumaton teräs
| 29
| <br>
| 4
| 33
|-
| liimat (etm.)
| 3
| 26
| 4
| 33
|-
| epoksimaalit
| 9
| 22
| 2
| 33
|-
| isosyanaatit (etm.)
| 20
| 6
| 7
| 33
|-
| kasvit ja kasvinosat, muut tunnetut
| 10
| 20
| 2
| 32
|-
| persulfaatit, vaalennusaineet (hiukset)
| 26
| 4
| 2
| 32
|-
| mänty
| 26
| 4
| 1
| 31
|-
| kotimaiset puulajit (etm.)
| 12
| 5
| 13
| 30
|-
| kuusi
| 23
| 5
| 2
| 30
|-
| hiusväriaineet
| 6
| 23
| 1
| 30
|-
| fenoliformaldehydihartsit ja -muovit (PF)
| <br>
| 28
| 2
| 30
|-
| Muut kemialliset altisteet (noin 500 eri altistetta)
| <br>
| <br>
| <br>
| <br>
|-
| '''Summa (7 vuotta)'''
| '''2946'''
| '''6022'''
| '''5478'''
| '''14446'''
|-
| '''Keskimäärin vuodessa'''
| '''421'''
| '''860'''
| '''782'''
| '''2064'''
|}
 
<br>
 
<br>Recognised and suspected cases of occupational disease due to chemical exposures notified to the Finnish Register of Occupational Diseases (FROD) in 1996-2002. Source: Finnish Institute of Occupational Health (FIOH)
 
<br>
 
<br>
 
<br>Occupational exposure to wood dust and risk of cancer
 
<br>
 
<br>
 
There is sufficient evidence that wood dust (hardwood dust in particular) causes elevated risk of contracting nasal and sinonasal cancer (IARC). The evidence for other types of cancer (e.g., lung cancer) is inconclusive.
 
The number of cases of nasal/sinonasal cancer attributable to exposure to wood dust can be estimated directly from nationwide register studies, such as the Nordic occupational cancer study (Andersen et al 1999). According to this study, there were 28 cases of nasal cancer among men who were woodworkers in the Finnish Census in 1970. The number of cases expected based on the incidence in the general population was 18 cases. The follow-up time (1971-91) was 21 years. If it is assumed that all excessive cases (28-18=10) were caused by exposure to wood dust, about 0,5 cases/year (=10/21) can be attributed to wood dust.
 
This approach, which does not require knowledge on exposure distribution or dose-response relationship, is rarely feasible because it has several requirements to be valid:
 
- The occupation (e.g., woodworker) or a set of occupations should cover relatively completely most workers who are significantly exposed. In the case of woodworkers this is an acceptable assumption, although women are excluded and there may be some exposure in other occupations as woodworker.<br>- The observed risk estimate should be rather stable (statistically significant) and not confounded by other occupational exposures or lifestyle factors. In the case of woodworkers and nasal/sinonasal cancer this is an acceptable assumption, because nasal cancers are not confounded eg by smoking. Formaldehyde may be a potential (positive) confounder. <br>- The observed risk estimate should be based on a follow-up time which is long enough to reveal the actual magnitude of risk. The latency period from the onset of exposure to the end of the follow-up was from 21 years up to about 50 years in the Nordic study. This may be too short because nasal cancer may require 40 years to emerge. The estimate of attributable cases may therefore tend to be an underestimate.<br>- The level of exposure should be the same in the past as presently, if the result is applied to recent exposure circumstances. The level of exposure to wood dust has decreased over the years and the estimate may therefore tend to be an overestimate.
 
The number of nasal/sinonasal cases attributable to occupational exposure to wood dust may be argued to be approximately one case per year which is not an accurate estimate but rather indicates the order of magnitude.
 
Reference: <br>Andersen A, Barlow L, Engeland A, Kjaerheim K, Lynge E, Pukkala E. Work-related cancer in the Nordic countries. Scand J Work Environ Health, Supplement 2, 25;1999: 1-116.
 
<br>
 
=== Benzene<br>  ===
 
Benzene is a common community air contaminant originating from gasoline (contains currently about 1% benzene) and burning processes. Average concentration in Helsinki outdoor air was about 3 µg/m3 (max 69 µg/m<sup>3</sup> ) according Expolis study (Hänninen et al., 2004). In indoor air smoking and burning processes are important sources. Concentrations are generally on the same level or lower as in outdoor air the average (median 2 µg/m<sup>3</sup>) (Lyly, 1999). The effect from car refueling to the total benzene exposure of average person is small due to short exposure time although peak concentrations may be high (1-10 mg/m<sup>3</sup>).
 
Occupational exposure to benzene has decreased considerably since the 1970s, when the use of benzene as a solvent was banned in open processes. However, workers are still today exposed to benzene in oil refineries (esp. in benzene production), in coking plants, in car repair work (fuel system repair), in gasoline transport, in laboratories and in remediation of contaminated sites. It has been estimated that about 7000 are exposed generally and the number of heavily exposed is about 300 (benzene and coking plants).<br>
 
<br>
 
<br>
 
{| cellspacing="1" cellpadding="1" border="1" style="width: 635px; height: 156px;"
|-
| '''Exposure level<br>µg/m<sup>3</sup><br><br>'''
| '''Back<br>ground<br>µg/m'''<sup>'''3'''</sup><br><br>
| '''Number of exposed'''<br>
| '''Exposure route'''<br>
| '''Unit risk<br>(US EPA, 1999)'''<br><br>
| '''Leukemia<br>/lifetime risk<br><br>'''
| '''Cases /year'''<br>
|-
| 3<br>general<br>population<br>average<br><br>
| 2<br>
| 5000000<br>
| inhalation<br>
| 4,5x10<sup>-6</sup><br>
| 0,0000045<br>
| 0,32<br>
|-
| 50 <br>workers, (high)<br><br>
| 2<br>
|
300<br>
 
| inhalation<br>
| 4,5x10<sup>-6</sup><br>
| 0,00022<br>
| 0,001<br>
|-
| 10<br>workers (median)<br><br>
| 2<br>
| 5000<br>
| inhalation<br>
| 4,5x10<sup>-6</sup><br>
| 0,00004<br>
| 0,003<br>
|-
| 5 <br>workers (low)<br><br>
| 2<br>
| 2000<br>
| inhalation<br>
| 4,5x10<sup>-6</sup><br>
| 0,00001<br>
| &lt;0,001<br>
|}
 
<br>
 
Annually about 450-500 new leukemia cases have been registered in Finland (Finnish Cancer Registry, 2006). <br><br>&nbsp;
 
<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
<br>&nbsp;<br>
 
<br>

Latest revision as of 09:17, 22 August 2012



SETURI is a research project that estimates and compares the health impacts of the major environmental stressors in Finland. The common metric applied is disability-adjusted life year (DALY).

A large part of the project is presented in Finnish: Seturi.

The detailed project website is in Heande, which is a protected area. SETURI website.

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