Article Text

PDF

Use of history science methods in exposure assessment for occupational health studies
  1. K Johansen1,
  2. H Tinnerberg2,
  3. E Lynge1
  1. 1Institute of Public Health, University of Copenhagen, Denmark
  2. 2Department of Occupational and Environmental Medicine, Lund University, Sweden
  1. Correspondence to:
 MsK Johansen
 Institute of Public Health, University of Copenhagen, Blegdamsvej 3, DK-2200 Copenhagen N, Denmark; k.johansenpubhealth.ku.dk

Abstract

Aims: To show the power of history science methods for exposure assessment in occupational health studies, using the dry cleaning industry in Denmark around 1970 as the example.

Methods: Exposure data and other information on exposure status were searched for in unconventional data sources such as the Danish National Archives, the Danish Royal Library, archives of Statistics Denmark, the National Institute of Occupational Health, Denmark, and the Danish Labor Inspection Agency. Individual census forms were retrieved from the Danish National Archives.

Results: It was estimated that in total 3267 persons worked in the dry cleaning industry in Denmark in 1970. They typically worked in small shops with an average size of 3.5 persons. Of these, 2645 persons were considered exposed to solvents as they were dry cleaners or worked very close to the dry cleaning process, while 622 persons were office workers, drivers, etc in shops with 10 or more persons. It was estimated that tetrachloroethylene constituted 85% of the dry cleaning solvent used, and that a shop would normally have two machines using 4.6 tons of tetrachloroethylene annually.

Conclusion: The history science methods, including retrieval of material from the Danish National Archives and a thorough search in the Royal Library for publications on dry cleaning, turned out to be a very fruitful approach for collection of exposure data on dry cleaning work in Denmark. The history science methods proved to be a useful supplement to the exposure assessment methods normally applied in epidemiological studies.

  • exposure
  • tetrachloroethylene
  • perchloroethylene
  • dry cleaning

Statistics from Altmetric.com

There is often a long latency time between an occupational exposure and its eventual negative health consequences. Suspicion of an association may therefore arise many years after the actual exposure took place. In the meantime, technologies and companies can have changed, which complicates exposure assessment. Historical cohort studies can be undertaken in situations where the exposure took place in relatively large companies still operating at the time of the disease occurrence, for example, the cohort study from the large nickel refinery in Norway.1 Where such cohort studies are not possible, exposure assessment has to rely on case-control studies with interviews of the subjects or the next-of-kin, for example, the study on exposure to phenoxy herbicides and soft tissue sarcoma from Sweden in the 1980s.2 The value of interview data is, however, limited by the lack of knowledge on past exposure among the subjects or the next-of-kin, the potential recall bias between cases and controls, and by the, nowadays, very low response rate, especially among controls. There is consequently a need in occupational health epidemiology for additional methods for collection of exposure data.

The purpose of this paper is to show, by use of the exposure to tetrachloroethylene among dry cleaners in Denmark as an example, the wealth of highly relevant data which may be available in historical archives.

Previous studies of dry cleaners, primarily from the USA, indicated that exposure to tetrachloroethylene may entail an increased risk of cancer of the oesophagus, of the cervix uteri, and of non-Hodgkin’s lymphoma.3 Tetrachloroethylene has also been the dominant dry cleaning solvent in Denmark. However, “the average earnings of dry cleaners [in the USA] was about two-thirds that of average from private sector workers”, and the excess risk of oesophageal cancer occurred primarily among black men.4 In Denmark, dry cleaning shops used to be small family businesses,5 indicating that the subjects in dry cleaning in Denmark belonged to a higher socioeconomic group than the dry cleaning workers in the USA. We are therefore investigating cancer in dry cleaners in Denmark to test whether the US findings can be reproduced in this other setting. Parallel studies are being undertaken in Norway, Sweden, and Finland. We needed here to identify people working in dry cleaning 30–40 years ago. We also wanted to know their length of employment, and exposure level at the time. In 2003, few of the previous owners of the small family dry cleaning shops would be available for interview, and we therefore developed a set of new methods for collection of exposure data.

METHODS

We wanted to study whether dry cleaning workers in Denmark had an increased risk of cancer of the oesophagus, cardia, liver, cervix uteri, bladder, and pancreas, and of renal cell carcinoma and non-Hodgkin’s lymphoma. It was not possible to collect a cohort of dry cleaning workers in Denmark because this industry traditionally consisted of many small shops. We therefore used another approach. The 1970 census was available in a computerised form with a unique personal identification number (CPR number) for each citizen. Dry cleaners were, however, not given a separate code in the computerised file. Dry cleaners could only be identified as part of a larger group of persons having the industry code “laundry, dry cleaning, and dyeing” and/or the occupation code “laundry worker, ironer”. We retrieved data for this cohort and then designed our study as a series of case-control studies nested in the cohort (fig 1).

Figure 1

 Design of Danish dry cleaner case-control study and assessment of exposure to tetrachloroethylene for cases and controls. (1) CPR number is a unique personal identification number. (2) SE number is a unique company number. (3) Number of employees for SE number was missing for 10 persons. We assumed the shops to be small based on information on the employers, such as number of machines listed in the biography book.

The CPR number of each cohort member was linked with the data in the Danish Cancer Register. In this way we identified cohort members diagnosed with cancer between the census date in 1970 and the end of 1999. These persons constituted the cases in our case-control study. After identification of the cases, we selected the controls from the cohort using incidence density sampling. We then had the cases and the controls, but we did still not know which of them had worked in dry cleaning. However, an archive search showed that the original 1970 census forms were stored in the Danish National Archives. These forms included a detailed free text on employment, job title, company name, and address. The free text enabled us to distinguish between the dry cleaners and the laundry workers. We retrieved the forms from the archive, and coded the job tasks according to the list shown in table 1.

Table 1

 Detailed job description and exposure status in 1970 for the 831 controls in the Danish dry cleaner study

Main messages

  • Use of history science methods proved to be a powerful tool in collection of occupational exposure data.

For cases and controls working in dry cleaning we also wanted to know the length of their employment at the workplace they had in 1970. For persons working in dry cleaning, but not specified as dry cleaners in the census forms, we furthermore wanted to know the number of people employed at their workplace in 1970. In order to search for data on these two variables, we split the dry cleaners between those being employees in 1970, and those being self-employed persons or family workers, the latter group being spouses working in the family shop. For the group of employees, we used data from the supplementary pension scheme (ATP). Since 1964, all companies have paid annual contributions to this scheme for each of their employees. In the pension scheme data, an employee is identified by his/her CPR number, and a company is identified by an SE number. For each employee we search for the SE number paying this person’s pension contribution in 1970. The length of an employee’s employment in the company was then measured as the number of years around 1970 where the same SE number had paid the pension contribution. The supplementary pension scheme data were only available for our study from the start of 1964 until 1979. Our study was therefore restricted to this period. The number of employees in the 1970 workplace was calculated as the number of persons with pension scheme contributions paid by the given SE number in 1970.

The self-employed workers were the owners of the dry cleaning shops. They were not covered by the supplementary pension scheme (ATP). We therefore searched the Royal Library for literature on dry cleaning, and discovered a biographical registration of self-employed dry cleaning and laundry workers from 1971, “The Danish laundry and dry cleaning industry”.6 It included names and addresses of dry cleaning shops, usually the number and type of dry cleaning machines, the names of the owners and usually their spouses, and the length of time they had been in operation.6 Self-employed and family workers not found in the biography book were searched for in local telephone books which typically included the name of the shop, the name of the owner, the address, and the telephone number. The period of interest was the years from 1964 to 1979, as this period was covered by the supplementary pension scheme data for the employees. The length of employment after 1971 for those found in the biography book was also searched for in the telephone books. The length of employment for a self-employed person was measured as the number of years in which he/she was listed as the owner. Family workers were assumed to have worked the same number of years as the owner of the shop. All telephone books are available in the Royal Library.

The detailed occupational codes combined with size of the company for the employees were used to distinguish between: (1) persons explicitly described as “dry cleaners”, and workers with other job tasks in dry cleaning shops with less than 10 employees; the latter group was included due to the physical proximity and shared work tasks in these small shops; (2) “other workers” in dry cleaning shops with more than 10 employees, for example, office workers or drivers; and (3) unexposed, laundry workers (table 1). We searched reports on occupational poisoning from 1945 onwards in the archives of the Labor Inspection Agency, and in the weekly journal of the Danish Medical Association. Records on air measurements of tetrachloroethylene from dry cleaning shops were searched for in the National Institute of Occupational Health, Denmark. The records included date of investigation, name of shop, number and type of dry cleaning machines, a graphic outline of the shop, and details on the analytical method. In addition, the search on literature on dry cleaning in the Royal Library revealed a report from 1979–80 on measurements made by the Danish Technological Institute.7,8

Policy implications

  • The level of exposure to tetrachloroethylene in the dry cleaning industry has been lower in Denmark than in the USA.

A literature search in the Royal Library showed that the Association of Dry Cleaning Shops had published journals; from 1944 to 1965, Renseriejeren, and from 1965 to 1995, Nordisk tidsskrift for rensning farvning og vask. The journals provided a detailed picture of the development in machinery and dry cleaning solvents used, and a comparative study of the dry cleaning industry in 1968 in the USA, the UK, Denmark, Finland, and Sweden. All legal regulations on dry cleaning in Denmark from 1952 onwards were retrieved from the archive of the Danish Labor Inspection Agency. In Statistics Denmark, annual production and foreign trade statistics on tetrachloroethylene were available from 1945 onwards.

RESULTS

The identified data allowed a detailed recording of the technological development of the Danish dry cleaning industry, and assessment of exposure status for each case and control in our study. The recording of the technological development was necessary in order to determine when tetrachloroethylene started to be used in dry cleaning in Denmark, and to estimate the proportion of dry cleaning in Denmark undertaken with tetrachloroethylene at different points in time. We start therefore with a historical description.

Dry cleaning industry in Denmark

The founder of dry cleaning in Denmark, Georg E Mathiasen (GEM), introduced trichloroethylene as a dry cleaning solvent in the 1930s.6 The semi-automatic GEM machines could also use tetrachloroethylene, but the supply was limited in Denmark in the 1950s.9 These machines were unique because the clothes were both dry cleaned and dried in a one-step process which eliminated the manual transfer of wet clothes. In 1953, rules were set up for use of trichloroethylene and tetrachloroethylene requiring that machines were tight, in good repair, and mounted in separate rooms. The rules prohibited the staff from removing the clothes from the machine before they were completely dry.10

In 1959, the fully automated dry cleaning machines, the German “Zanker” and the English “Spencer”, were introduced in Denmark after the post-war import regulations were lifted.11 Both tetrachloroethylene and trichloroethylene could be used in the machines, but tetrachloroethylene worked better on the newly introduced synthetic fibres of cellulose triacetate;12 it was not that aggressive to the colours of the textile, was more harmless to cotton, and less volatile.13 The operation of the new machines was much simpler than the old GEM machines, and better centrifugation meant that less solvent was left in the clothes.12 This first generation of fully automated dry-to-dry machines were open circuit machines—that is, at the end of the drying process a ventilating duct for residual volatilised solvent was opened to the atmosphere.

In 1964, the rules for dry cleaning machines using tetrachloroethylene were revised. Machines did not have to be mounted in separate rooms any more as long as the front of the machine was separated from the back with a wall. Dry cleaning was only permitted in automated dry-to-dry machines and the machines had to be constructed in such a way that they could not start before the doors were closed and the ventilation started. A closed system for solvent filling and sump removal was made compulsory, and all solvents had to be kept in closed containers.14 In the 1960s, the structure of the Danish dry cleaning sector was very heterogeneous. Many new dry cleaning shops started with self-service coin operated machines and no pre- or after-treatment of the clothes. In conventional shops, the clothes were spot cleaned before the dry cleaning and ironed, pressed, and steamed afterwards.15 In 1968, 40% of all dry cleaned clothes in Denmark were cleaned in coin operated machines, and all coin operated machines were loaded with tetrachloroethylene.16 In 1967, about 30% of conventional shops had machines obtained within the last 10 years, whereas 30–50% of the machines were 20–30 years old.17 Old machinery was likely to have a higher exposure due to equipment wear, corrosion, or inadequate maintenance. A very few shops specialising in cleaning of working clothes were still using trichloroethylene.18 Three quarters of the dry cleaning in Denmark was undertaken in small shops, and tetrachloroethylene constituted about 70–75% of the solvents used (table 2).16 In 1971, tetrachloroethylene constituted 90% of the solvents used in Scandinavia.18 Other solvents in use were white spirit and chlorofluorocarbons.

Table 2

 International comparison of dry cleaning industry in 196816

The total annual consumption of tetrachloroethylene rose from 900 tons in 1959 to a maximum of about 5500 in 1970, and then decreased to the present level of about 300 tons19–21 (fig 2). In the 1970s, 93% of the tetrachloroethylene in Denmark was used for dry cleaning.22 The decline in use was due to fashion changes to water-washable clothes.8 In 1968, Denmark had 4 kg of dry cleaned clothes per person, in total 19 421 tons,16 which had declined to 7250 tons in 1987.23 Rising environmental awareness and increasing prices also promoted lower consumption. Furthermore, in 1978 the first closed circuit machine was introduced.24 This non-vented dry-to-dry machine with a refrigerated condenser was only opened to the atmosphere when the machine door was opened. It allowed a more efficient solvent recovery and had a lower solvent emission compared to the open circuit machines.25,26 In the 1970s chlorofluorocarbons (CFCs) came on the market, constituting 30% of the consumption in 1987.23 But new CFC machines were prohibited in 1992, and the ban on selling CFCs to the dry cleaning industry came into force in 1995.25,27 In 1957, the permissible exposure limit for tetrachloroethylene was 350 mg/m3 (50 ppm), in 1975 it was lowered to 200 mg/m3 (30 ppm),28 and in 1995 it was lowered to the present level of 70 mg/m3 (10 ppm).25,29 In 1962, one case of tetrachloroethylene poisoning was reported to the Labor Inspection Agency. A dry cleaner fainted as she was spot cleaning with tetrachloroethylene outside the shop.30 The medical journal reported six cases of poisoning in the 1970s, all among customers using coin operated machines.31 A Danish Technological Institute consultant reported in 1982 that it was very common among dry cleaners to smell the textile to determine the adequacy of the drying.7

Figure 2

 Consumption of tetrachloroethylene in Denmark from 1959 to 2000. Adding the production and import figures and subtracting the export figures identified the annual consumption of tetrachloroethylene.19–21

A total of 348 tetrachloroethylene measurements in dry cleaning shops were performed in Denmark between 1947 and 1987 by the National Institute of Occupational Health. As several of the samples were consecutive short term samples, the number of independent observations was 86 (see table 3). Our case-control study covered the period 1964 to 1979. Only 31 measurements from 14 shops were available from this period. These measurements were made in 1964, 1965, 1967, 1969, and 1979, respectively. There was no clear trend in these data, although the 1979 measurement from a single shop was clearly below those from earlier years. A total of 67 measurements were made in 1979–80 by the Danish Technological Institute. These measurements were also below those from the 1960s. As Danish measurement data were missing for most of the 1970s, we used the merged Nordic measurement data to get a better picture of the development during the period 1964 to 1979. Only 107 Nordic measurements were available from 1964 to 1976, and only 45 of these had a sampling time longer than 60 minutes; of these, only 16 were personal samples. These sparse exposure data indicated a fairly constant median exposure level to tetrachloroethylene, just below 200 mg/m3. This does not imply that the exposure was constant during the working day in the shop.32 Exposure increased towards the end of the dry cleaning process, and a common practice of sniffing to the dried clothes also contributed to variation in exposure during the working day. From 1976 onwards more measurements were available and a decreasing trend was observed (Håkan Tinnerberg, personal communication, 2004).

Table 3

 Measurements of tetrachloroethylene in dry cleaning plants in Denmark

Individual exposure status

The evaluation of each subject’s exposure status was undertaken as a stepwise procedure as illustrated in fig 1. The cohort of laundry and dry cleaning workers from the 1970 census included 15 559 persons (3689 men and 11 870 women). A total of 559 cancer cases were identified, and 831 controls were selected. The free text on the census forms showed that 655 controls did not work in dry cleaning shops. They were coded as unexposed. The remaining 176 controls worked in dry cleaning shops; they were split into two groups, “dry cleaners” and persons with other job tasks. Persons with other job tasks from small shops were grouped together with the dry cleaners, while persons with other job tasks from larger shops formed a separate group of “other workers”. The dry cleaner group included 89 persons who stated themselves as dry cleaners (code 010), 15 with combined dry cleaning and laundry shops (code 030), and four with combined dry cleaning and dye shops (code 040). These 108 controls were all classified as “dry cleaners”. Five controls worked only with collection/returning of dry cleaned clothes; they were classified as “other workers” since dry cleaning and pressing were not performed in the shop. The remaining 63 controls from dry cleaning shops had other job tasks. Of these, 30 worked in shops with less than 10 employees and were classified as “dry cleaners” due to the physical proximity and shared worked tasks in these small shops; 23 worked in larger shops and were classified as “other workers”. Size of workplace was unknown for the remaining 10 controls, but they were individually allocated to the “dry cleaner” or “other worker” group based on, for example, number of machines in the shop. We ended up with 143 controls classified as “dry cleaners” in 1970 (table 1). As 75% of the dry cleaning solvent used in Denmark in 1968 was tetrachloroethylene,16 and this percentage had increased to 90% in 1971,18 we estimated that tetrachloroethylene constituted 85% of the dry cleaning solvent used in 1970. It is reasonable therefore to conclude that by far the majority of the 143 “dry cleaners” were exposed to tetrachloroethylene.

The duration of employment could be assessed for 93% of the controls in dry cleaning shops ( = 163/176) (table 4).

Table 4

 Dry cleaners and other workers in dry cleaning shops by length of employment

We used the data from the 1970 census cohort of laundry and dry cleaning workers and the exposure status data for the 831 controls to estimate the total number of persons working in dry cleaning in Denmark in 1970. This extrapolation gave 3267 persons worked in dry cleaning in Denmark in 1970, of which 2645 were considered exposed to solvents as they were dry cleaners or worked very close to the dry cleaning process, while 622 persons were office workers, drivers, etc in shops with 10 or more persons (table 5). With the estimated numbers of 3267 persons working in dry cleaning and 932 dry cleaning shops, on average 3.5 persons worked in each shop. This shows that by far the majority of the dry cleaning shops were small family shops. According to the book “The Danish Laundry and Dry Cleaning Industry 1971”, each shop had on average two machines, giving in total 1865 machines. The daily capacity of a shop operating two machines was 80 kg of clothes. In total, 3885 tons of tetrachloroethylene were used in Denmark in 1970, of which 93% were in dry cleaning. Consequently, the estimated consumption of tetrachloroethylene in a dry cleaning shop in Denmark in 1970 was 4.6 tons. In 1970, the dominant type of dry cleaning machine was an open circuit machine, where solvent emission into the air represents 90% of the solvent consumption.33 It is possible to use the production figures to give an estimate of the level of exposure to tetrachloroethylene in the dry cleaning shops. The measurement reports performed by the National Institute of Occupational Health in the 1960s showed that the shops were relatively small, between 40 m3 and 300 m3. The air exchange rate was in the range of 3–30 per hour. In 1982, correctly dried clothes contained solvent equivalent to 0.5% of the weight.7 A shop with a daily capacity of 80 kg, a room volume of 100 m3, and an air exchange rate of 5 per hour, will then have had an exposure of 100 mg/m3 on the assumption that the solvent was spread immediately to the entire working room. However, from the National Institute of Occupational Health’s survey we know that several of the shops were housed in basements with bad ventilation, far from all clothes were dried correctly, and emission from cage, gaskets, and pipe fittings went into the working rooms depending on the maintenance.7 The actual exposure level might therefore have been above the estimated 100 mg/m3. The 100 mg/m3 estimated solely from the production figures with all its uncertainties is convincingly close to the exposure level just below 200 mg/m3 found in the joint Nordic data set of measurements. These two independent data sources therefore point to an exposure level in the order of 100–200 mg/m3.

Table 5

 Estimated picture of the Danish dry cleaning sector around 1970

DISCUSSION

In a recent review of the epidemiology on the carcinogenicity of tetrachloroethylene, Mundt et al concluded that there was a widespread lack of literature with valid exposure data.34 A major critique was that many studies included subjects not exposed to tetrachloroethylene, for example, laundry workers. Also the widespread lack of information regarding duration of exposure in many of the papers was criticised.

We used history science methods to collect these exposure data for Danish dry cleaners. In particular, the Danish National Archives and the Danish Royal Library were very good sources for information. The original census forms found in the National Archives made it possible to determine exactly who was a dry cleaner and who was a laundry worker in 1970. Length of exposure, a variable also missing in previous studies, could be assessed by use of a combination of historical data sources: supplementary pension scheme data, biography book, and telephone books. The same was true for size of workplace which could be assessed from the supplementary pension scheme data.

The detailed search of historical records revealed exposure data of decisive importance for comparison of our study results with those from, for example, US studies. It turned out, for instance, that the open transfer dry cleaning machines in which the operator moved solvent-wet clothes manually to the dryer had been prohibited in Denmark since 1953. In the USA, one third of the plants still used the open transfer process in 1971.34 Consequently, the potential for exposure via skin contact has been diminutive in Denmark compared with the USA. From the historical records we estimated the mean exposure to tetrachloroethylene to be somewhere between 100 mg/m3 and 200 mg/m3 in a typical dry cleaning shop in 1970. The exposure limit was 350 mg/m3 in 1970. In the mid and late 1970s, there was a rising national debate about tetrachloroethylene,35 and the exposure limit was lowered to 200 mg/m3. Better safety techniques were also implemented, and the exposure limit was reduced to 70 mg/m3 in 1995. In the USA, the current exposure limit is 678 mg/m3, and the American Conference of Governmental Industrial Hygienists recommends a TLV of 170 mg/m3.36 Based on these comparisons, it seems likely that the past and current US levels of exposure to tetrachloroethylene were higher than the Danish levels.

Our estimates for consumption of tetrachloroethylene in the dry cleaning industry and in the individual shops in Denmark in 1970 are in accordance with figures from other independent sources. In 1995, the Danish Environmental Protection Agency studied six dry cleaning shops in order to identify better technology solutions.25 A shop with two open circuit Böwe maxima, R18S and R18E, dry cleaning machines from 1973 had an annual consumption of 4530 kg tetrachloroethylene, a number very close to our estimated 4.6 tons. In 1975, the Danish Technological Institute estimated that the average consumption of solvents was not below 18% of the weight of the dry cleaned clothes. In 1970, the amount of dry cleaned clothes was 19 421 tons, which means that the total consumption of tetrachloroethylene in 1970 should then be 3496 tons. This number is also close to our estimated consumption of 3613 tons. We find it reassuring that our estimates in these two examples are well matched with data from other sources.

We estimated that tetrachloroethylene constituted 85% of the dry cleaning solvent used in 1970. It is reasonable therefore to conclude that “dry cleaners” in Denmark in 1970 were exposed to tetrachloroethylene. Due to the limitation in the pension scheme data we could only follow the employment of our cases and controls from 1964 to 1979. This was, however, not a major limitation as the period coincided with the boom in use of dry cleaning in Denmark around 1970. Danish air measurements data were lacking from the 1970s. We therefore used the joint Nordic air measurements data to assess the exposure level. These sparse data indicated fairly stable median exposure level just below 200 mg/m3 throughout the period 1964 to 1976. More measurements were available after 1976 and a decreasing exposure level was seen. In Danish data, very few of the cases and controls recruited from the 1970 census were still employed in dry cleaning in the late 1970s. Furthermore, the new closed circuit machines were not introduced in Denmark until the end of 1978. Based on these considerations we decided in the analysis to assume the exposure level to be constant from 1964 to 1979.

In occupational health epidemiology we usually do not search for literature outside the “Medline world”, but our study showed that it can be useful for historical cohort studies to search for information on exposure data in a broader range of different databases. In the present study the data from the Danish National Archives and from the Royal Library turned out to be highly valuable.

In conclusion, by using a history science approach it was possible to collect exposure data for a study on cancer risk in dry cleaners, despite the fact that these persons worked more than 30 years ago in small shops scattered throughout the country. Today many of these persons are dead and many of the shops are closed. We have thus shown that the combined use of historical archive data can be a powerful substitute when the classic historical cohort study from a large factory is not feasible. We have previously used similar methods for collection of exposure data for stone cutters37 and styrene exposed workers.38 The history science approach is clearly preferable to traditional case-control studies with recall problems and low response rates.

Acknowledgments

We are indebted to Inger Johansen, Danish Institute of Occupational Health, for information about the measurements made by the Institute.

REFERENCES

View Abstract

Footnotes

  • Funding: this study was supported by the Danish Medical Research Council and The Halogenated Solvents Industry Alliance, Inc.

  • Competing interests: none declared

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Linked Articles