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. Author manuscript; available in PMC: 2015 Aug 3.
Published in final edited form as: Am J Ind Med. 2013 Sep 20;57(1):38–48. doi: 10.1002/ajim.22261

Diseases Attributable to Asbestos Exposure: Years of Potential Life Lost, United States, 1999–2010

Ki Moon Bang 1,*, Jacek M Mazurek 1, John M Wood 1, Scott A Hendricks 1
PMCID: PMC4522907  NIHMSID: NIHMS710093  PMID: 24108494

Abstract

Background

Although asbestos use has been restricted in recent decades, asbestos-associated deaths continue to occur in the United States.

Objectives

We evaluated premature mortality and loss of potentially productive years of life attributable to asbestos-associated diseases.

Methods

Using 1999–2010 National Center for Health Statistics mortality data, we identified decedents aged ≥25 years whose death certificate listed asbestosis and malignant mesothelioma as the underlying cause of death. We computed years of potential life lost to life expectancy (YPLL) and to age 65 (YPLL65).

Results

During 1999–2010, a total of 427,005 YPLL and 55,184 YPLL65 were attributed to asbestosis (56,907 YPLL and 2,167 YPLL65), malignant mesothelioma (370,098 YPPL and 53,017 YPLL65). Overall and disease-specific asbestos-attributable total YPLL and YPLL65 and median YPLL and YPLL65 per decedent did not change significantly from 1999 to 2010.

Conclusions

The continuing occurrence of asbestos-associated diseases and their substantial premature mortality burden underscore the need for maintaining prevention efforts and for ongoing surveillance to monitor temporal trends in these diseases.

Keywords: years of potential life lost, mortality, asbestos, asbestosis, malignant mesothelioma, lung cancer

INTRODUCTION

Years of potential life lost (YPLL) is a measure of premature mortality and can be used to describe the impact on society of death from a particular illness or injury [Kamel et al., 2012]. YPLL is used to help quantify economic loss owing to premature death [Gardner and Sanborn, 1990; Pham et al., 2009] and to target prevention programs and health care planning [Perloff et al., 1984; Gardner and Sanborn, 1990]. Also, YPLL can assist in disease surveillance, and in evaluation of mortality temporal trends and program intervention effectiveness [CDC, 1986]. YPLL emphasizes deaths occurring at younger age and YPLL that occur before age 65 years measures years of potential work tenure lost, on the assumption that these are a worker’s productive years [Wise et al., 1988; O’Lorcain et al., 2007].

Several diseases have been associated with exposure to asbestos fibers, including asbestosis, malignant mesothelioma, pleural plaques, and lung and other cancers [WHO, 1999; O’Reilly et al., 2007; Rudd, 2010; IARC, 2012]. Workers employed in asbestos mining and milling and those involved with manufacture, use, repair, removal, road maintenance, ship and boat building, construction, or demolition of asbestos-containing materials and products are at potential risk of exposure to asbestos [Bang et al., 2008]. Although asbestos is no longer mined in the United States, asbestos continues to be imported (approximately 1,060 metric tons in 2012) [US DI, 2013]. In 2012, the chloralkali industry consumed 67% of the imported asbestos to manufacture semipermeable diaphragms in the electrolytic cells. Thirty percent of imported asbestos was used in roofing products and the remaining 3% was used in coatings and compounds, and plastics [Virta, 2013]. Asbestos can be found in brake pads, vinyl tile, friction products, insulation, roofing materials, and other products [EPA, 2012a]. Moreover, a substantial amount of asbestos remains in buildings and eventually will be removed, either during remediation or renovations or demolition [EPA, 2012a]. It has been estimated that approximately 1.3 million workers in construction and general industry potentially are being exposed to asbestos during maintenance activities or remediation of buildings containing asbestos [Weeks and Christiani, 2005].

The U.S. Occupational Safety and Health Administration, the Mine Safety and Health Administration, and the Environmental Protection Agency have taken regulatory actions to control occupational exposure to asbestos by establishing a permissible exposure limit and banning some asbestos-containing products from the market [Martonik et al., 2001; MSHA, 2010; EPA, 2012b]. However, asbestos use has not been banned completely in the United States and asbestos-containing materials remain in place in structural materials and machinery. Non-regulated mineral fibers are causing asbestos-associated diseases as well. For example, in the United States mesothelioma was associated with commercial use of vermiculite mined in Libby, Montana [Duning et al., 2012] and asbestosis was associated with exposure to erionite which was used to pave some roads in North Dakota [Carbone et al., 2012]. Similar exposure to erionite was reported from Turkey [CDC, 2011]. Finally, estimated 41,000 persons were exposed to asbestos and other toxins during the rescue and clean-up efforts after the World Trade Center collapsed (http://www.asbestos.com/world-trade-center/). Thus, asbestos-associated deaths may continue to occur for decades to come [Nicholson et al., 1982; Antao et al., 2009; CDC, 2011].

Limited information on YPLL attributable to diseases associated with asbestos exposure is available [CDC, 2008a]. In this study, we examined YPLL attributable to mortality from asbestosis and malignant mesothelioma associated with asbestos exposure using 1999–2010 mortality data from the U.S. National Center for Health Statistics (NCHS).

MATERIALS AND METHODS

We used the 1999–2010 NCHS data because the International Classification of Disease 10th revision (ICD-10) [WHO, 1992], which assigns a separate code for malignant mesothelioma, was adopted for coding deaths in the United States beginning in 1999. The most recent year for which NCHS mortality data were available was 2010.

Using ICD-10 codes for causes of death listed in the NCHS multiple-cause-of-death data files, we identified two non-overlapping groups of decedents with diseases attributable to asbestos exposure as follows: (1) Asbestosis [J61]: pneumoconiosis due to asbestos and other mineral fibers as underlying cause of death and death with underlying cause coded as J65 (pneumoconiosis associate with tuberculosis) or J92.0 (pleural plaques with presence of asbestos) with asbestosis as a contributing cause of death and (2) Malignant Mesothelioma: mesothelioma [C45] as underlying cause of death. Because of the occupational etiology and long latency of diseases associated with asbestos exposure [Rudd, 2010], analysis was restricted to deaths of persons aged ≥25 years.

Statistical Analysis

We calculated YPLL to life expectancy (YPLL) and median YPLL [Wise et al., 1988] using the numbers of deaths for each race, gender, and age at death multiplied by life expectancy obtained from life tables published annually by NCHS (http://www.cdc.gov/nchs/products/life_tables.htm) and the following formula:

i=25100d(j)ie(j)i

where i = age; d(j)i = number of death at age i for gender or race j; j = male or female; white, black or other; e(j)i = life expectancy for gender or race j at age i. Since NCHS published age-specific life expectancy tables only for ages 0–100, the age = 100 life-expectancy estimate was used for calculating YPLLs for decedents whose age at death was greater than >100 years.

We calculated YPLL before age 65 (YPLL65) and median YPLL65 for decedents aged 25–64 years at death using the difference between the age of a decedent at death and 65, the upper limit of traditional working life [O’Lorcain et al., 2007] and the following formula:

i=2564di(65-i)

where i = age of ith decedent at death; di = number of deaths at age i.

YPLLs were internally adjusted by age, sex, and year. Since the 2009–2010 life-expectancy tables were not yet published by NCHS, the 2008 life expectancy tables were used for calculating YPLLs that occurred in 2009–2010.

We used SAS® software version 9.2 (SAS Institute, Inc., Cary, NC) nonparametric methods for data analysis. To calculate the median YPLL, PROC SUMMARY was used to calculate the 50th percentile of the YPLL distribution for demographic category (sex, race) and each state. To assess time trends we first calculated annual YPLL and YPLL65 for each disease. Then, using a Wilcoxon signed rank test [Gibbons, 1976], we assessed the significance of time-trends based on year-to-year differences over the entire 10-year period. We used the Kruskal–Wallis test [Gibbons, 1976] to compare median YPLLs by gender and race. All tests were 2-sided and differences with P <0.05 were considered statistically significant. We calculated the periodic age-adjusted YPLL rate per million per year by state using the 2000 U.S. standard population and mid-year (2005) population estimates.

RESULTS

During 1999–2010, asbestosis and malignant mesothelioma as the underlying cause of death were coded for 35,929 decedents (median age at death: 75 years), accounting for 427,005 YPLL (median per decedent: 10.0). The majority of decedents were male (29,819; 83.0%) and white (34,130; 95.0%), accounting for 345,856 (81.0%; median: 9.9) and 400,414 (93.8%; median: 9.9) YPLL, respectively (Table I). The median YPLL attributable to asbestosis and malignant mesothelioma for females (10.7) was significantly greater than that for males (9.9; P <0.001). The median YPLL attributable to asbestosis and malignant mesothelioma for blacks (12.1) was significantly greater than that for whites (9.9; P <0.001).

TABLE I.

Years of Potential Life Lost (YPLL) to Life Expectancy, by Sex and Race, United States, 1999–2010

Characteristics Deaths
YPLL
No. % Median age No. % Median
Asbestosisa
 Total 6,290 100.0 79 56,907 100.0 8.0
 Sex
  Male 6,035 95.9 79 54,766 96.2 8.0*
  Female 255 4.1 81 2,142 3.8 7.0
 Race
  White 5,979 95.1 79 53,681 94.3 8.0
  Black 262 4.2 78 2,703 4.8 8.8
  Other 49 0.7 79 524 0.9 9.0
Malignant mesotheliomab
 Total 29,639 100.0 74 370,098 100.0 10.6
 Sex
  Male 23,784 80.2 75 291,090 78.7 10.5
  Female 5,855 19.8 74 79,007 21.3 10.9*
 Race
  White 28,151 95.0 75 346,733 93.7 10.5
  Black 1,149 3.9 70 17,498 4.7 13.4
  Other 339 1.1 70 5,867 1.6 15.0
Total 35,929 100.0 75 427,005 100.0 10.0
 Sex
  Male 29,819 83.0 76 345,856 81.0 9.9
  Female 6,110 17.0 74 81,149 19.0 10.7*
 Race
  White 34,130 95.0 76 400,414 93.8 9.9
  Black 1,411 3.9 72 20,201 4.7 12.1
  Other 388 1.1 71 6,391 1.5 13.8
a

ICD-10 code (underlying cause): J61 (pneumoconios is due to asbestos and other mineral fibers) and deaths with underlying cause coded as J65 (pneumoconiosis associated with tuberculosis) or J92.0 (pleural plaques with presence of asbestos) with asbestosis as a contribution cause of death.

b

ICD-10 code (underlying cause): C45 (mesothelioma).

*

P <0.01 (female vs. male).

P <0.001 (black vs.white).

P <0.001 (other vs.white).

Overall, annual YPLL attributable to asbestosis and malignant mesothelioma did not change significantly (from 34,357 in 1999 to 35,818 in 2010; Table II). By state (Table III), the YPLL attributable to asbestosis and malignant mesothelioma ranged from 390 for 27 decedents in the District of Columbia (DC) to 41,384 for 3,407 decedents in California, while median asbestos-attributable YPLL per death ranged from 8.1 in North Dakota to 14.0 in DC. The age-adjusted YPLL rate per million was greatest in Maine (331). Ten states (California, Florida, Pennsylvania, Texas, New York, Illinois, Ohio, New Jersey, Michigan, and Washington) accounted for over half (52.9%) of the total YPLL attributable to asbestosis and malignant mesothelioma. These same 10 states accounted for 51.0% of total YPLL65 attributable to asbestosis and malignant mesothelioma.

TABLE II.

Years of Potential Life Lost to Life Expectancy (YPLL), United States, 1999–2010

Year Asbestosisa
Malignant mesotheliomab
Total
Deaths YPLL
Deaths YPLL
Deaths YPLL
No. Median No. Median No. Median
1999 452 4,366 9.0 2,342 29,991 11.1 2,794 34,357 10.6
2000 551 5,160 8.7 2,383 29,588 10.9 2,944 34,748 10.3
2001 551 5,194 8.4 2,367 29,612 10.5 2,918 34,806 9.9
2002 532 4,808 7.9 2,426 29,835 10.5 2,958 34,643 9.9
2003 585 5,411 8.0 2,473 31,016 10.6 3,058 36,427 10.0
2004 548 5,104 8.1 2,503 31,441 10.3 3,051 36,545 9.7
2005 536 4,860 7.6 2,553 31,823 10.3 3,089 36,683 9.7
2006 486 4,324 7.8 2,450 30,573 10.5 2,936 34,898 9.9
2007 540 4,785 7.9 2,429 30,478 10.6 2,969 35,263 10.0
2008 521 4,555 7.5 2,535 31,975 10.7 3,056 36,530 10.2
2009 488 4,265 7.5 2,605 32,023 10.7 3,093 36,288 10.2
2010 490 4,075 7.3 2,573 31,743 10.7 3,063 35,818 10.2

P-value for trend in deaths and YPLL for all conditions >0.05.

a

ICD-10 code (underlying cause): J61 (pneumoconiosis due to asbestos and other mineral fibers) and deaths with underlying cause coded as J65 (pneumoconiosis associated with tuberculosis) or J92.0 (pleural plaques with presence of asbestos) with asbestosis as a contributing cause of death.

b

ICD-10 code (underlying cause): C45 (mesothelioma).

TABLE III.

Years of Potential Life Lost (YPLL) to Life Expectancy Attributable to Asbestos-Associated Diseases, by State, United States, 1999–2010

State Deaths
YPLL
No. % No. % Median Age-adjusted rate (per million per year)
Alabama 557 1.6 6,563 1.5 10.2 172
Alaska 57 0.2 679 0.2 9.6 206
Arizona 594 1.7 6,995 1.6 10.3 148
Arkansas 246 0.7 3,137 0.7 10.8 132
California 3,407 9.5 41,384 9.7 10.0 163
Colorado 377 1.0 4,784 1.1 10.7 148
Connecticut 477 1.3 5,636 1.3 9.9 192
Delaware 178 0.5 1,865 0.4 9.5 264
District of Columbia 27 0.1 390 0.1 14.0 86
Florida 2,411 6.7 27,023 6.3 9.6 155
Georgia 539 1.5 7,099 1.7 11.1 115
Hawaii 98 0.3 1,209 0.3 9.9 113
Idaho 187 0.5 2,217 0.5 10.0 205
Illinois 1,573 4.4 19,367 4.5 10.3 199
Indiana 709 2.0 8,844 2.1 10.2 178
Iowa 324 0.9 3,938 0.9 10.2 152
Kansas 267 0.7 3,109 0.7 9.6 139
Kentucky 391 1.1 5,252 1.2 11.6 154
Louisiana 677 1.9 9,008 2.1 10.9 257
Maine 350 1.0 4,005 0.9 10.0 331
Maryland 729 2.0 8,486 2.0 10.0 201
Massachusetts 1,093 3.0 12,309 2.9 9.4 228
Michigan 1,257 3.5 15,455 3.6 10.3 191
Minnesota 762 2.1 8,731 2.0 9.8 222
Mississippi 333 0.9 4,004 0.9 10.6 177
Missouri 574 1.6 6,968 1.6 10.5 145
Montana 212 0.6 2,307 0.5 9.5 279
Nebraska 224 0.6 2,679 0.6 10.0 189
Nevada 224 0.6 2,987 0.7 11.2 166
New Hampshire 195 0.5 2,160 0.5 9.9 209
New Jersey 1,625 4.5 17,455 4.1 9.0 244
New Mexico 171 0.5 2,313 0.5 11.1 150
New York 1,930 5.4 23,060 5.4 9.9 146
North Carolina 880 2.4 10,900 2.6 10.6 159
North Dakota 101 0.3 1,096 0.3 8.1 194
Ohio 1,584 4.4 18,726 4.4 10.2 193
Oklahoma 328 0.9 4,394 1.0 11.6 151
Oregon 630 1.8 6,946 1.6 9.1 232
Pennsylvania 2,374 6.6 25,965 6.1 9.3 226
Rhode Island 173 0.5 1,818 0.4 8.9 199
South Carolina 464 1.3 5,680 1.3 10.8 164
South Dakota 73 0.2 867 0.2 9.8 132
Tennessee 611 1.7 7,897 1.8 11.1 161
Texas 1,946 5.4 24,086 5.6 10.7 158
Utah 216 0.6 2,825 0.7 11.3 187
Vermont 73 0.2 980 0.2 11.4 181
Virginia 1,075 3.0 13,113 3.1 10.2 226
Washington 1,243 3.5 13,576 3.2 9.1 285
West Virginia 433 1.2 5,073 1.2 10.0 297
Wisconsin 860 2.4 10,513 2.5 10.6 234
Wyoming 90 0.3 1,132 0.3 11.2 272
Total 35,929 100.0 427,005 100.0 10.0

YPLL Attributable to Asbestosis

During 1999–2010, asbestosis was coded as the underlying cause of death for 6,290 decedents (median age at death: 79 years) accounting for 56,907 YPLL (median per decedent: 8.0 YPLL). The majority of asbestosis decedents were male (6,035; 95.9%) and white (5,979; 95.1%), accounting for 54,766 (96.2%; median per decedent: 8.0) and 53,681 (94.3%; median: 8.0) YPLL, respectively (Table I). Overall, annual YPLL and median YPLL attributable to asbestosis did not change significantly over the 1999–2010 period (Table II).

YPLL Attributable to Malignant Mesothelioma

During 1999–2010, malignant mesothelioma was coded as the underlying cause of death for 29,639 decedents (median age at death: 74 years) accounting for 370,098 YPLL (median per decedent: 10.6 YPLL). The majority of mesothelioma decedents were male (23,784; 80.2%) and white (28,151; 95.0%), accounting for 291,090 (78.7%; median: 10.5) and 346,733 (93.7%; median: 10.5) YPLL, respectively. The median YPLL for other races were significantly greater than that for whites (P <0.001; Table I). Overall, annual YPLL and median YPLL attributable to mesothelioma did not change significantly over the 1999–2010 period (Table II).

YPLL Before Age 65 Years (YPLL65)

During 1999–2010, of the 35,929 deaths with asbestosis or malignant mesothelioma coded as the underlying cause of death, 6,594 (18.4%) were aged 25–64 years (median age at death: 59 years), accounting for 55,184 YPLL65 (median per decedent: 6.0; Table IV). The majority of these decedents were male (5,051; 76.6%) and white (6,042; 91.6%), accounting for 38,882 (70.5%; median: 6.0) and 49,504 (89.7%; median: 6.0) YPLL65, respectively. The median YPLL65 attributable to asbestosis and malignant mesothelioma for females was significantly greater than that for males (9.0 vs. 6.0, P <0.001). The median YPLL65 attributable to asbestosis and malignant mesothelioma for blacks was significantly greater than that for whites (8.0 vs. 6.0, P <0.001). Also, the median YPLL65 for other races was significantly greater than that for whites (P <0.001).

TABLE IV.

Years of Potential Life Lost Before Age 65 Years (YPLL65) Attributable to Asbestos-Associated Diseases, by Sex and Race, United States, 1999–2010

Characteristics Deaths
YPLL65
No. % Median age No. % Median
Asbestosisa
 Total 385 100.0 60 2,167 100.0 5.0
 Sex
  Male 369 95.8 60 2,064 95.2 5.0
  Female 16 4.2 60 103 4.8 5.5
 Race
  White 341 88.6 60 1,899 87.6 5.0
  Black 38 9.9 59 251 11.6 6.0
  Other 6 1.5 63 17 0.8 2.5
Malignant mesotheliomab
 Total 6,209 100.0 58 53,017 100.0 7.0
 Sex
  Male 4,682 75.4 59 36,818 69.4 6.0
  Female 1,527 24.6 56 16,199 30.6 9.0*
 Race
  White 5,701 91.8 59 47,605 89.8 6.0
  Black 387 6.2 56 3,989 7.5 9.0
  Other 121 2.0 55 1,423 2.7 10.0
Total 6,594 100.0 59 55,184 100.0 6.0
 Sex
  Male 5,051 76.6 59 38,882 70.5 6.0
  Female 1,543 23.4 56 16,302 29.5 9.0*
 Race
  White 6,042 91.6 59 49,504 89.7 6.0
  Black 425 6.5 57 4,240 7.7 8.0
  Other 127 1.9 56 1,440 2.6 9.0
a

ICD-10 code (underlying cause): J61 (pneumoconios is due to asbestos and other mineral fibers) and deaths with underlying causecoded as J65 (pneumoconiosis associated with tuberculosis) or J92.0 (pleural plaques with presence of asbestos) with asbestosis as a contributing cause of death.

b

ICD-10 code (underlying cause): C45 (mesothelioma).

*

P <0.001 (female vs. male).

P <0.001 (referent group: white).

P <0.001 (referent group: white).

Overall, annual YPLL65 attributable to asbestosis and malignant mesothelioma did not change significantly (from 4,898 in 1999 to 3,966 in 2010; Table V). By state, the YPLL65 attributable to asbestosis and malignant mesothelioma ranged from 119 for 18 decedents from Delaware to 6,244 for 676 decedents from California (Table VI). The median YPLL65 per decedent ranged from 5.0 for decedents from Wyoming to 10.0 for decedents from the Nevada. The age-adjusted YPLL rate per million was greatest in Louisiana (53).

TABLE V.

Years of Potential Life Lost to Age 65 Years (YPLL65) byYear, United States, 1999–2010

Year Asbestosisa
Malignant mesotheliomab
Total
Deaths YPLL65
Deaths YPLL65
Deaths YPLL65
No. Median No. Median No. Median
1999 28 178 5.5 540 4,720 7.0 568 4,898 7.0
2000 35 215 5.0 517 4570 7.0 552 4,785 7.0
2001 39 221 6.0 520 4,689 7.0 559 4,910 7.0
2002 38 208 5.0 515 4,492 7.0 553 4,700 6.0
2003 44 284 5.0 553 4,930 7.0 597 5,214 7.0
2004 42 201 3.5 553 4,704 6.0 595 4,905 6.0
2005 38 223 5.0 566 4,626 7.0 604 4,849 6.0
2006 19 114 6.0 485 4,330 6.0 504 4,444 6.0
2007 28 129 4.0 511 4,104 6.0 539 4,233 6.0
2008 34 199 5.0 503 4,169 6.0 537 4,368 6.0
2009 24 111 3.5 491 3,801 6.0 515 3,912 6.0
2010 16 84 4.0 455 3,882 7.0 471 3,966 6.0

P-value for trend in deaths and YPLL for all conditions >0.05.

a

ICD-10 code (underlying cause): J61 (pneumoconios is due to asbestos and other mineral fibers) and deaths with underlying cause coded as J65 (pneumoconiosis associated with tuberculosis) or J92.0 (pleural plaques with presence of asbestos) with asbestosis as a contributing cause of death.

b

ICD-10 code (underlying cause): C45 (mesothelioma).

TABLE VI.

Years of Potential Life Lost to Age 65 Years (YPLL65) Attributable to Asbestos-Associated Diseases, by State, United States, 1999–2010

Deaths
YPLL65
No. % No. % Median Age-adjusted rate (per million per year)
Alabama 86 1.3 647 1.2 5.0 21
Alaska
Arizona 97 1.5 694 1.3 5.0 19
Arkansas 56 0.9 477 0.9 6.5 27
California 676 10.3 6,244 11.4 7.0 27
Colorado 81 1.2 737 1.3 6.0 23
Connecticut 89 1.4 713 1.3 6.0 29
Delaware 18 0.3 119 0.2 6.5 19
District of Columbia
Florida 362 5.5 2,817 5.1 6.0 24
Georgia 135 2.1 1,176 2.1 8.0 20
Hawaii 16 0.2 165 0.3 8.5 20
Idaho 38 0.6 278 0.5 7.0 29
Illinois 316 4.8 2,810 5.1 7.0 34
Indiana 149 2.3 1,317 2.4 7.0 33
Iowa 67 1.0 544 1.0 8.0 28
Kansas 50 0.8 429 0.8 8.0 24
Kentucky 96 1.5 869 1.6 6.0 31
Louisiana 173 2.6 1,579 2.9 8.0 53
Maine 58 0.9 394 0.7 5.0 40
Maryland 119 1.8 1,125 2.0 6.0 29
Massachusetts 188 2.9 1,528 2.8 6.5 35
Michigan 255 3.9 2,077 3.8 6.0 31
Minnesota 126 1.9 1,005 1.8 5.5 29
Mississippi 63 1.0 500 0.9 6.0 27
Missouri 100 1.5 891 1.6 8.0 23
Montana 33 0.5 234 0.4 5.0 33
Nebraska 43 0.7 377 0.7 7.0 34
Nevada 47 0.7 502 0.9 10.0 31
New Hampshire 26 0.4 219 0.4 7.5 23
New Jersey 218 3.3 1,711 3.1 6.0 28
New Mexico 47 0.7 391 0.7 8.0 31
New York 365 5.6 3,056 5.6 6.0 23
North Carolina 177 2.7 1,573 2.9 7.0 28
North Dakota 17 0.3 129 0.2 7.0 29
Ohio 297 4.5 2,133 3.9 5.0 27
Oklahoma 77 1.2 725 1.3 7.0 33
Oregon 95 1.4 827 1.5 6.0 33
Pennsylvania 339 5.2 2,513 4.6 6.0 29
Rhode Island 22 0.3 176 0.3 5.5 25
South Carolina 84 1.3 680 1.2 7.0 23
South Dakota
Tennessee 134 2.0 1,223 2.2 6.5 31
Texas 386 5.9 3,262 5.9 6.0 23
Utah 56 0.9 476 0.9 5.5 33
Vermont 21 0.3 192 0.3 7.0 44
Virginia 214 3.3 1,768 3.2 7.0 35
Washington 206 3.1 1,464 2.7 5.0 33
West Virginia 71 1.1 605 1.1 6.0 48
Wisconsin 154 2.3 1,366 2.5 7.0 36
Wyoming 21 0.3 125 0.2 5.0 32
Total 6,564 100.0 54,880 100.0 5.0

“—”indicates fewer than 15 deaths; Data suppressed due to the National Center for Health Statistics confidentiality policy. No report due to unreliable estimate (RSE >70%).

YPLL65 Attributable to Asbestosis

During 1999–2010, of the 6,290 decedents with asbestosis coded as the underlying cause of death, 385 (6.1%) were aged 25–64 years (median age at death: 60 years) accounting for 2,167 YPLL65 (median per decedent: 5.0 YPLL65). The majority of these decedents were male (369; 95.8%) and white (341; 88.6%), accounting for 2,064 (95.2%; median: 5.0) and 1,899 (87.6%; median: 5.0) YPLL65, respectively (Table IV). Overall, annual YPLL65 and median YPLL65 attributable to asbestosis did not change significantly over the 1999–2010 period (Table V).

YPLL65 Attributable to Malignant Mesothelioma

During 1999–2010, of the 29,639 decedents with malignant mesothelioma coded as the underlying cause of death, 6,209 (20.9%) were aged 25–64 years (median age at death: 58 years) accounting for 53,017 YPLL65 (median per decedent: 7.0 YPLL65). The majority of these decedents were male (4,682; 75.4%) and white (5,701; 91.8%), accounting for 36,818 (69.4%; median: 6.0) and 47,605 (89.8%; median: 6.0) YPLL65, respectively (Table IV). The median YPLL65 for females was significantly greater than that for males (P <0.001). The median YPLL65 for blacks was significantly higher than that for whites (P <0.001; Table IV). The median YPLL65 for other races was significantly greater than that for whites (P <0.001). Overall, annual YPLL65 and median YPLL65 attributable to mesothelioma did not change significantly over the 1999–2010 period (Table V).

DISCUSSION

The YPLL is an impact measure that can help quantify the burden of social and economic loss from premature mortality [Gardner and Sanborn, 1990]. The use of premature mortality measures has recently become more common for targeting cancer because it can be used to describe premature death and potential economic loss to the society caused by cancer deaths and also it can enhance the decisions of agencies for evaluating cancer prevention programs [O’Lorcain et al., 2007; Pham et al., 2009; Kamel et al., 2012]. However, information on YPLL attributable to diseases associated with asbestos exposure is limited in the United States. Adoption of the ICD-10 for coding death data with a specific code for malignant mesothelioma in 1999 and availability of data for 1999–2010 provided data to address this gap. This study is the first to report on asbestos-attributable YPLL using national mortality data.

We found that deaths attributable to asbestosis and malignant mesothelioma resulted in an annual average of 35,600 YPLL and over 4,600 YPLL65. Nearly 96% of the total YPLL65 attributable to asbestosis and malignant mesothelioma was due to malignant mesothelioma. No significant temporal trend in malignant mesothelioma attributable YPLL or YPLL65 was observed over the years for which data were available.

Because the latency period from asbestos exposure to the development of malignant mesothelioma ranges from 20 to 50 years, most malignant mesothelioma occurs at the age of over 45 [CDC, 2008b; Maskell and Millar, 2009]. The majority (85–87%) of these cases were likely exposed to asbestos at the workplace [Rudd, 2010]. Industries with known high exposure to asbestos in the past included shipbuilding, construction, building trades, automotive brake, and the manufacture of asbestos textiles [Maskell and Millar, 2009]. Malignant mesothelioma under the age of 45 is uncommon and indicates that exposure may have occurred in younger age, likely in non-occupational settings such as exposure to naturally occurring asbestos [Pan et al., 2005].

Although most non-occupational malignant mesothelioma is likely due to asbestos exposure, exposure to other factors such as erionite, and asbestos fiber-containing vermiculite and talc have also been associated with non-occupational malignant mesothelioma [Carbone et al., 2012; CDC, 2012; Duning et al., 2012; IARC, 2012]. Erionite deposits have been documented in ten western U.S. states (California, Nevada, North Dakota, South Dakota, Arizona, Colorado, Idaho, New Mexico, Utah, and Wyoming) and exposure to erionite was associated with interstitial and pleural changes in workers with prolonged occupational exposure to road gravel that contains fibrous erionite [Ryan et al., 2011]. Vermiculite has been documented to increase risk for the development of malignant mesothelioma in workers that processed vermiculite mined near Libby, Montana [Duning et al., 2012]. Finkelstein [2012] recently reported that workers in the New York State talc industry were at increased risk of malignant mesothelioma attributable to their inhalation of asbestos-containing talc in the mining and milling.

Most asbestosis deaths occur among persons aged 65–84 years and overall asbestosis mortality is not expected to decrease rapidly in the next 10–15 years in the United States [Antao et al., 2009]. In our study, small numbers of deaths among persons aged 25–64 were associated with asbestosis (n = 343) and lung cancer with asbestosis or pleural plaques with presence of asbestos (n = 200), accounting for 4% and 2% of the total asbestos-attributable YPLL65, respectively. A median of 5.0 YPLL65 per decedent was attributed to asbestosis and a median of 4.0 YPLL65 per decedent was attributed to lung cancer associated with asbestos exposure indicating that, on average, decedents aged 25–64 years with asbestosis and those with lung cancer died at age 60 and 61 years, respectively.

A small number of pleural plaques (n = 27) with presence of asbestosis was identified in this study. Pleural plaques are associated with exposure to asbestos [WHO, 1999]. Peretz et al. [2008] reported that “take-home” exposure to asbestos brought by family members was associated with pleural plaques among family members.

There were some differences in YPLL and YPLL65 by gender and race. Females had a higher median YPLL attributable to malignant mesothelioma than males, and blacks had a higher median YPLL attributable to malignant mesothelioma than whites, indicating that females are dying younger than males and that blacks are dying younger than whites. Additional studies are needed to ascertain which factors (e.g., age at exposure to asbestos, access to medical care) may be associated with women’s and blacks’ younger age at death from malignant mesothelioma.

In this study, nearly 60% of YPLL attributable to disease associated with asbestos exposure were calculated for decedents reported from coastal states. These findings may be explained, in part, by the historical exposure to asbestos in the ship and boat building and repairing industry in coastal states [Enterline and Henderson, 1987; Bang et al., 2008]. However, no information on decedents’ occupation was available to confirm these previous results.

Our method of computing YPLL to use 65 years is consistent with a study on premature mortality [Semerl and Sesok, 2002], coal workers’ pneumoconiosis-related YPLL [CDC, 2009], and asbestosis-related YPLL [CDC, 2008a]. For computation of YPLL to life expectancy, we used a life expectancy tables for ages 0–100 that was published by the National Center for Health Statistics. Pham et al. [2009] used life table methods for YPLL due to cancer in Japan. The method for calculating YPLL varies among authors, depending on cut-off age or life tables of different populations. YPLL varies by different occupational diseases. Zhong and Dehong [1995] reported that mean YPLL for asbestosis and silicosis among decedents aged 15–75 years was 14.3 and 21.9, respectively.

The findings in this study are subject to some limitations. First, YPLL and YPLL65 may be undercounted because some deaths from asbestosis and malignant mesothelioma might have been miscoded. To our knowledge, no studies addressed the magnitude of potential bias associated with coding causes of deaths according to ICD-10 coding scheme. Second, because no separate ICD-10 code is assigned to cancers associated with asbestos exposure [IARC, 2012], we were not able to calculate the total YPLL and YPLL65 attributable to these conditions. Steenland et al. [2003] estimated annual number of lung cancer deaths associated with industrial carcinogen exposures to range 6,800–17,000, using 1997 mortality data in the United States. Although the authors have considered asbestos exposure in their calculations, no discrete estimates of lung cancer associated with asbestos were reported. Third, the disability adjusted life year (DALY) could not be estimated in this study because there is no information on years lost due to disability for diseases associated with asbestos exposure that would allow for a more accurate description of the burden of diseases attributable to asbestos exposure [WHO, 2008]. In the future, the DALY could be estimated when information on disability for these diseases is available. Fourth, the state that issues a death certificate may not be the same state in which the decedent’s asbestos exposure occurred. Finally, no information on industry or occupation was available for analysis; thus, identification of specific industry and occupation associated with YPLL was not possible. The National Institute for Occupational Safety and Health has previously reported the industry and occupation information for malignant mesothelioma and asbestosis deaths from the 1999 NCHS mortality data which were included in this study [CDC, 2008b].

CONCLUSIONS

Asbestos-attributable diseases are associated with a substantial loss of potentially productive years of life. Future economic analysis might address the economic impact of asbestos-attributable diseases. The continuing occurrence of death from diseases associated with asbestos exposure underscores the need for maintaining asbestos exposure prevention and intervention efforts and for an ongoing surveillance to monitor temporal trends in these diseases.

Footnotes

Disclosure Statement: The authors report no conflicts of interests.

Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institute for Occupational Safety and Health.

References

  1. Antao VC, Pinheiro GA, Wassell JT. Asbestosis mortality in the United States: Facts and predictions. Occup Environ Med. 2009;66(5):335–338. doi: 10.1136/oem.2008.039172. [DOI] [PubMed] [Google Scholar]
  2. Bang KM, Mazurek JM, Syamlal G, Wood JM. Asbestosis mortality surveillance in the United States, 1970–2004. Int J Occup Environ Health. 2008;14(3):161–169. doi: 10.1179/oeh.2008.14.3.161. [DOI] [PubMed] [Google Scholar]
  3. Carbone M, Ly BH, Dodson RF, Pagano I, Morris PT, Dogan UA, Gazdar AF, Pass HI, Yang H. Malignant mesothelioma: Fact, myths, and hypotheses. J Cell Physiol. 2012;227:44–58. doi: 10.1002/jcp.22724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. CDC (Centers for Disease Control and Prevention) Premature mortality in the United States: Public health issues in the use of years of potential life lost. MMWR Morb Mortal Wkly Rep. 1986;35(2S):1s–11s. [PubMed] [Google Scholar]
  5. CDC (Centers for Disease Control and Prevention) Asbestosis-related years of potential life lost before age 65 years—United States, 1968–2005. MMWR Morb Mortal Wkly Rep. 2008a;57(49):1321–1325. [PubMed] [Google Scholar]
  6. CDC (Centers for Disease Control and Prevention) Coal worker’s pneumoconiosis-related years of potential life lost before age 65 years—United States, 1968–2006. MMWR Morb Mortal Wkly Rep. 2009;58(50):1412–1416. [PubMed] [Google Scholar]
  7. CDC (Centers for Disease Control and Prevention), National Institute for Occupational Safety and Health. [Accessed July 3, 2012];Work-related lung disease surveillance report 2007. 2008b DHHS (NIOSH) Publication No. 2010-143a ( http://www.cdc.gov/niosh/docs/2010-143/pdfs/2010-143.pdf.
  8. CDC (Centers for Disease Control and Prevention), National Institute for Occupational Safety and Health. Current intelligence bulletin. Asbestos fibers and other elongate mineral particles: State of the science and roadmap for research. Cincinnati, Ohio: National Institute for Occupational Safety and Health; 2011. [Accessed March 27, 2012]. Research edition. DHHS (NIOSH) Publication No. 2011-159 ( http://www.cdc.gov/niosh/docs/2011-159/pdfs/2011-159.pdf. [Google Scholar]
  9. CDC (Centers for Disease Control and Prevention), National Institute for Occupational Safety and Health. NIOSH science blog. [Accessed July 3, 2012];Erionite: An emerging North American hazard. 2012 http://blogs.cdc.gov/niosh-science-blog/2011/11/erionite/
  10. Duning KK, Adjei S, Levin L, Rohs AM, Hilbert T, Borton E, Kapil V, Rice C, Lemasters GK, Lockey JE. Mesothelioma associated with commercial use of vermiculite containing Libby amphibole. J Occup Eviron Med. 2012;54(11):1359–1363. doi: 10.1097/JOM.0b013e318250b5f5. [DOI] [PubMed] [Google Scholar]
  11. Enterline PE, Henderson VL. Geographic patterns for pleural mesothelioma deaths in the United States, 1968–81. J Natl Cancer Inst. 1987;79(1):31–37. [PubMed] [Google Scholar]
  12. EPA (Environmental Protection Agency). . [Accessed December 6, 2012];Where can I find asbestos? 2012a http://www2.epa.gov/asbestos/learn-about-asbestos#find.
  13. EPA (Environmental Protection Agency) [Accessed March 21, 2012];The asbestos informer. 2012b ( http://www.epa.gov/region04/air/asbestos/inform.htm)
  14. Finkelstein MM. Malignant mesothelioma incidence among talc miners and millers in New York States. Am J Ind Med. 2012;55:863–868. doi: 10.1002/ajim.22063. [DOI] [PubMed] [Google Scholar]
  15. Gardner JW, Sanborn JS. Years of potential life lost (YPLL)—What does it measure? Epidemiology. 1990;1(4):322–329. doi: 10.1097/00001648-199007000-00012. [DOI] [PubMed] [Google Scholar]
  16. Gibbons JD. Nonparametric methods for quantitative analysis. New York, NY: Holt, Rinehart and Winston; 1976. Wilcoxon signed rank procedures and Kruskal–Wallis test; pp. 123–193. [Google Scholar]
  17. IARC (International Agency for Research) on Cancer. A review of human carcinogen. World Health Organization; Lyon, France: 2012. IARC monographs on the evaluation of carcinogenic risks to humans: Arsenic, metals, fibers, and dusts, volume 100 C. [Google Scholar]
  18. Kamel MH, Moore PC, Bissada NK, Heshmat SM. Potential years of life lost due to urogenital cancer in the United States: Trends from 1972 to 2006 based on data from the SEER database. J Urol. 2012;187(3):868–871. doi: 10.1016/j.juro.2011.10.142. [DOI] [PubMed] [Google Scholar]
  19. Martonik JF, Nash E, Grossman E. The history of OSHA’s asbestos rule makings and some distinctive approaches that they introduced for regulating occupational exposure to toxic substances. AIHAJ. 2001;62(2):208–217. doi: 10.1080/15298660108984624. [DOI] [PubMed] [Google Scholar]
  20. Maskell N, Millar A. Malignant mesothelioma. In: Maskell N, Millar A, editors. Oxford desk reference: Respiratory medicine. Oxford: Oxford University Press; 2009. pp. 346–349. [Google Scholar]
  21. MSHA (Department of Labor, Mine Safety and Health Administration). . Asbestos exposure limit: Final rule. [Accessed August 29, 2012];Federal Register. 2010 30 CFR Part 56, 57 and 71 ( http://www.msha.gov/asbestos/asbestos.htm)
  22. Nicholson WJ, Perkel G, Selikoff IJ. Occupational exposure to asbestos population at risk and projected mortality—1980–2030. Am J Ind Med. 1982;3(3):259–311. doi: 10.1002/ajim.4700030305. [DOI] [PubMed] [Google Scholar]
  23. O’Lorcain P, Walsh PM, Comber H. Cumulative cancer mortality risk and potential years of life lost to 64 years of age in Ireland, 1953–2002. Eur J Cancer Prev. 2007;16(3):167–177. doi: 10.1097/01.cej.0000228408.68353.ba. [DOI] [PubMed] [Google Scholar]
  24. O’Reilly KM, Mclaughlin AM, Beckett WS, Sime PJ. Asbestos-related lung disease. Am Fam Physician. 2007;75(5):683–688. [PubMed] [Google Scholar]
  25. Pan XL, Day HW, Wang W, Beckett LA, Schenker MB. Residential proximity to naturally occurring asbestos and mesothelioma risk in California. Am J Respir Care Med. 2005;172(8):1019–1025. doi: 10.1164/rccm.200412-1731OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Peretz A, Van Hee VC, Kramer MR, Pitlik S, Keifer MC. Pleural plaques related to “take-home” exposure to asbestos: An international case series. Int J Gen Med. 2008;1:15–20. doi: 10.2147/ijgm.s3715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Perloff JD, LeBailly SA, Kletke PR, Budetti PP, Connelly JP. Premature death in the United States: Years of life lost and health priorities. J Public Health Policy. 1984;5(2):167–184. [PubMed] [Google Scholar]
  28. Pham TM, Fujino Y, Ide R, Ogimoto I, Matsuda S, Yoshimura T. Years of life lost due to cancer in a cohort study in Japan. Eur J Pub Health. 2009;19(2):189–192. doi: 10.1093/eurpub/ckp020. [DOI] [PubMed] [Google Scholar]
  29. Rudd RM. Epidemiology of asbestos-related diseases. In: Baxter PJ, Aw TC, Cockcroft A, Durrington P, Harrington JM, editors. Hunter’s disease of occupations. London: Hodder Arnold; 2010. pp. 1000–1010. [Google Scholar]
  30. Ryan PH, Dihle M, Griffin S, Adjei S, Lockey JE. Erionite in road gravel associated with interstitial and pleural changes—An occupational hazard in western United States. J Occup Environ Med. 2011;53(8):892–898. doi: 10.1097/JOM.0b013e318223d44c. [DOI] [PubMed] [Google Scholar]
  31. Semerl JS, Sesok J. Years of potential life lost and valued years of potential life lost in assessing premature mortality in Slovenia. Croat Med J. 2002;43(4):439–445. [PubMed] [Google Scholar]
  32. Steenland K, Burnett C, Lalich N, Ward E, Hurrell J. Dying for work: The magnitude of US mortality from selected causes of death associated with occupation. Am J Ind Med. 2003;43:461–482. doi: 10.1002/ajim.10216. [DOI] [PubMed] [Google Scholar]
  33. U.S. DI (Department of the Interior), U.S. Geological Survey. [Accessed August 8, 2013];Mineral commodity summaries 2013: Asbestos. 2013 ( http://minerals.usgs.gov/minerals/pubs/commodity/asbestos/mcs-2013-asbes.pdf)
  34. Virta RL. [Accessed August 12, 2013];Asbestos. 2013. 2012 mineral year book. 2013 http://minerals.usgs.gov/minerals/pubs/commodity/asbestos/
  35. Weeks JL, Christiani D. Asbestosis-related disease. In: Levy BS, Wagner GR, Rest KM, Weeks JL, editors. Preventing occupational disease and injury. 2. Washington, DC: American Public Health Association; 2005. pp. 93–97. [Google Scholar]
  36. WHO (World Health Organization) International classification of the diseases and related health problems. Vol. 1. Geneva, Switzerland: World Health Organization; 1992. 10th revisions. [Google Scholar]
  37. WHO (World Health Organization) International Statistical Classification of Diseases and Related Health Problems (ICD-10) in Occupational Health. 1999. [Google Scholar]
  38. WHO (World Health Organization). . The global burden of disease, 2004 update. Geneva, Switzerland: 2008. [Accessed August 28, 2012]. http://www.who.int/healthinfo/global_burden_disease/GBD_report_2004update_full.pdf. [Google Scholar]
  39. Wise RP, Livengood JR, Berkelman RL, Goodman RA. Methodological alternatives for measuring premature mortality. Am J Prev Med. 1988;4(5):268–273. [PubMed] [Google Scholar]
  40. Zhong Y, Dehong LI. Potential years of life lost and work tenure lost when silicosis is compared with other pneumoconiosis. Scand J Work Environ Health. 1995;21(Suppl 2):91–94. [PubMed] [Google Scholar]

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