Literature DB >> 32054818

Global and regional burden of chronic respiratory disease in 2016 arising from non-infectious airborne occupational exposures: a systematic analysis for the Global Burden of Disease Study 2016.

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Abstract

OBJECTIVES: This paper presents detailed analysis of the global and regional burden of chronic respiratory disease arising from occupational airborne exposures, as estimated in the Global Burden of Disease 2016 study.
METHODS: The burden of chronic obstructive pulmonary disease (COPD) due to occupational exposure to particulate matter, gases and fumes, and secondhand smoke, and the burden of asthma resulting from occupational exposure to asthmagens, was estimated using the population attributable fraction (PAF), calculated using exposure prevalence and relative risks from the literature. PAFs were applied to the number of deaths and disability-adjusted life years (DALYs) for COPD and asthma. Pneumoconioses were estimated directly from cause of death data. Age-standardised rates were based only on persons aged 15 years and above.
RESULTS: The estimated PAFs (based on DALYs) were 17% (95% uncertainty interval (UI) 14%-20%) for COPD and 10% (95% UI 9%-11%) for asthma. There were estimated to be 519 000 (95% UI 441,000-609,000) deaths from chronic respiratory disease in 2016 due to occupational airborne risk factors (COPD: 460,100 [95% UI 382,000-551,000]; asthma: 37,600 [95% UI 28,400-47,900]; pneumoconioses: 21,500 [95% UI 17,900-25,400]. The equivalent overall burden estimate was 13.6 million (95% UI 11.9-15.5 million); DALYs (COPD: 10.7 [95% UI 9.0-12.5] million; asthma: 2.3 [95% UI 1.9-2.9] million; pneumoconioses: 0.58 [95% UI 0.46-0.67] million). Rates were highest in males; older persons and mainly in Oceania, Asia and sub-Saharan Africa; and decreased from 1990 to 2016.
CONCLUSIONS: Workplace exposures resulting in COPD, asthma and pneumoconiosis continue to be important contributors to the burden of disease in all regions of the world. This should be reducible through improved prevention and control of relevant exposures. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  COPD; occupational asthma; occupational exposure; pneumoconiosis; work

Year:  2020        PMID: 32054818      PMCID: PMC7035690          DOI: 10.1136/oemed-2019-106013

Source DB:  PubMed          Journal:  Occup Environ Med        ISSN: 1351-0711            Impact factor:   4.402


Occupational respiratory exposures have been shown to be an important cause of chronic work-related respiratory disease at national and global level. The last analysis of this issue at the global level was for the year 2000—this paper provides a new analysis for 2016. Analysis of the Global Burden of Disease data set suggests that globally there were about 519,100 deaths and 13.6 million disability-adjusted life years in 2016 from chronic respiratory disease due to occupational airborne exposures. The population attributable fraction for chronic obstructive pulmonary disease (COPD) was 17% and for asthma was 10%. Workplace exposures resulting in COPD, asthma and pneumoconioses remain important contributors to the burden of disease in all regions of the world. These findings highlight opportunities to continue to reduce chronic respiratory disease burden worldwide by improving prevention and control of workplace airborne exposures.

Introduction

Airborne respiratory hazards (inorganic and organic particulate matter, vapours, gases and fumes) are a common exposure in occupational settings and many studies have identified resulting malignant and chronic respiratory disease as an important component of the occupational injury and disease burden at both country and global levels.1–10 Work-related respiratory diseases remain a problem even in high-income countries, as shown by incident cases of pneumoconioses that are still occurring.11 12 The Global Burden of Disease (GBD) Comparative Risk Assessment (CRA) project was the first to consider the burden of occupational chronic respiratory disease comprehensively at a regional and global level, estimating the burden for the year 2000.13 That study included airborne exposures leading to asthma, chronic obstructive pulmonary disease (COPD), asbestosis, coal workers’ pneumoconiosis (CWP) and silicosis.14 The new GBD initiative, conducted by the Institute of Health Metrics and Evaluation, first focused on 201015 and has been updated several times since.16–19 It provides a detailed analysis of the burden of disease and injury overall and arising from specific risk factors. One set of those risk factors comprises occupational exposures,18but no detailed analysis of the occupational risk factor results has been undertaken. This paper presents a detailed analysis of the global and regional burden of chronic respiratory disease arising from non-infectious occupational airborne exposures, as estimated in the GBD 2016 study. Malignant occupational respiratory disease20 and an overview of all occupational risk factors21 are considered in companion papers.20

Methods

General approach

The general methodology used in GBD 2016 is described elsewhere,18 as is the overall approach to occupational risk factors.21 These methods are briefly summarised here. A more detailed description is provided here of the analyses of occupational exposures to particulate matter, gases and fumes (PMGF), secondhand smoke (SHS), asthmagens and pneumoconiotic dusts and their associated outcomes. The burden of occupational respiratory disease for PMGF and SHS (causing COPD) and for asthmagens was estimated using the population attributable fraction (PAF), that is, the proportion of deaths or disability-adjusted life years (DALYs) that would not have occurred if exposure was at the theoretical minimum risk exposure level; this was then used to estimate attributable numbers of deaths or DALYs. The PAF requires information on the relative risk of the disease due to the exposure of interest and the proportion of the target population exposed. Pneumoconioses were estimated directly as part of the overall GBD estimates of prevalence and deaths for each included cause. Age-standardised rates (per 100 000 people) were based only on persons aged 15 and above. Results were calculated for all years from 1990 to 2016, inclusive; the 2016 findings are the focus of this paper. The socio-demographic index (SDI) is a composite indicator of development status based on total fertility rate, mean education for those aged 15 and older and lag distributed income per capita.18Region-specific, SDI-specific and global results are reported here. Country-specific information is available through the GBD Compare data visualisation.22 High-income countries were defined as countries in the Australasia, high-income North America, Western Europe and Asia Pacific regions, and low/middle-income (LMI) countries as all other countries. Employment data came from the International Labour Organization Labour Force,23 supplemented where necessary by sub-national data sources and modelling. PAFs for all carcinogens except asbestos were estimated for each age-sex-country group using the equation based on Levin24: where P(x) is the proportion of persons exposed at level x in the relevant population and RR(x) is the relative risk corresponding to exposure level x.

PMGF and SHS

Industry was used as a proxy for exposure to PMGF because we identified no suitable and valid data sources at a country or global level of exposure to PMGF, either singly or to PMGF as a group. Current industry was used as the basis of exposure estimates, but the estimates of proportions exposed (ie, workers who experienced more than trivial exposure) within each industry (nine categories—see online supplementary table S1) were designed to take into account past exposure (to estimate ever exposed), given that both past and current exposure appear to increase the risk of COPD. Estimates of proportion exposed at lower and higher levels in high income and LMI countries were based on sparse published data (see online supplementary material) and expert opinion by GBD collaborators (online supplementary table S1). Information on risk was obtained by conducting a systematic review of international literature and meta-analysis (unpublished) of relevant results.5 25 Relative risks in these studies were for COPD greater than or equal toGlobal Initiative for Chronic Obstructive Lung Disease(GOLD) stage II: defined as requiring non-reversibility after using bronchodilators for provocation, a forced expiratory volume in one second/forced vital capacity (FEV1/FVC) ratio of less than 0.70 and an FEV1 of less than 80% predicted.26 Relative risk estimates were used for an overall ‘lower’ level (RR=1.44; 95% CI 1.07–1.95) and an overall ‘higher’ level (RR=2.31; 95% CI 1.45 to 3.73) of exposure to the agents of concern (‘higher’ and ‘lower’ were based on the exposure descriptions in the papers).5 25 The reference group was persons not working and persons working in trade, finance or service industries. The prevalence of exposure to PMGF was determined using the following equation: where EAP = economically active population, c = country, s = sex, EA = economic activity, l = level of exposure, y =year and a = age. Exposure information on SHS was based on the CAREX (Carcinogen Exposure) database, which provides industry-specific information from 1990 to 1993 on the prevalence of exposure to various carcinogens in countries of Western Europe,27 as described elsewhere.20 The relevant relative risks were those used for SHS in the general GBD 2016 analysis.18

Asthmagens

Exposure and relative risks for asthmagens were based on the current occupation distribution (eight categories—see online supplementary table S2) because there were no suitable and valid data sources at a country or global level describing exposure to the wide range of occupational asthmagens. All relative risk information, except that for agricultural occupations, came from a study by Karjalainen and coworkers, a comprehensive national population study of incident asthma.7 8 Relative risks for agricultural occupations were based on a study by Kogevinas and coworkers,28 using a weighted average of the separate estimates for ‘farmers’ and ‘agricultural’ workers provided in the paper. This information was used because the results were thought to be more generalisable to agriculture in the rest of the world, especially for LMI regions. Separate risks were available and used for males and females (except for agricultural operations), although the sex-specific risks were similar and within the limits of random variation. The same relative risks were used for all age groups. The counterfactual was persons not working and administrative workers. Byssinosis was included as asthma for the purposes of the analysis. The prevalence of exposure to asthmagens was determined using the following equation: where EAP = economically active population, c = country, s = sex, OCC = occupation, y = year and a = age.

Pneumoconiotic dusts

As mentioned, pneumoconioses were estimated directly as part of the overall GBD estimates of prevalence and deaths for each included cause, rather than using the attributable fraction approach. The methods used are described elsewhere.29 The attributable fraction is essentially 100% because virtually all pneumoconioses arise as a result of occupational exposure. Separate estimates were available for silicosis, asbestosis and CWP, with the remaining cases grouped under an ‘other pneumoconiosis’ category.23

Statistical approach

The main modelling and analyses employed to produce the GBD 2016 data, and the calculation and use of 95% uncertainty intervals (95% UI), were as described elsewhere.18 21 Uncertainty intervals are primarily presented in detail in the tables to assist with the flow of the text.

Results

There were estimated to be about 519 000 (95% UI 441 000–609 000) deaths from chronic respiratory disease in 2016 due to occupational airborne risk factors. The vast majority (460 000 [95% UI 382 000–551 000]; 89%) of these were due to COPD arising from PMGF and SHS. The remaining deaths were from asthma (37 600 [95% UI 28 400–47 900]; 7%), due to exposure to a range of asthmagens, and from pneumoconiosis (21 500 [95% UI 17 900–25 400]; 4%), arising from exposure to pneumoconiotic dusts. Males accounted for 75% (390 000) of the deaths overall and between 69% (asthmagens) and 88% (pneumoconiotic dusts) for individual risk factors. The relative contribution of the different risk factors was similar when the burden was measured in terms of DALYs (13.6 [95% UI 11.9–15.5] million DALYs overall; COPD: 10.7 [95% UI 9.0–12.5] million; asthma: 2.3 [95% UI 1.9–2.9] million; pneumoconioses: 0.58 [95% UI 0.49–0.67] million), with 79% of the DALYs due to PMGF and SHS. Males accounted for 73% (9.9 million) of the DALYs (table 1).
Table 1

Global occupational-attributable deaths, DALYs and PAFs from chronic respiratory disease due to airborne exposures by risk factor and sex, 2016 (number, percent and proportion [95% uncertainty interval])*

Risk factorTotalDeathsMales‡MalesDALYsTotalMalesPAFs†Total
FemalesFemalesFemales
Asthmagens26 10311 47137 5747.21 468 347871 1332 339 48017.213.07.19.9
(17 900–35 300)(8700–15 200)(28 400–47 900)(1 141 200–1 874 300)(666 100–1 109 600)(1 860 900–2 923 300)(12.0–14.0)(6.3–8.0)(9.0–11.0)
PMGF+SHS**343 122116 958460 08088.67 969 9862 717 96710 687 95378.621.011.017.0
(270 900–422 000)(87 100–153 300)(381 500–551 300)(6 518 000–9 469 200)(2 143 400–3 328 600)(9 019 900–12 517 000)(18.0–25.0)(9.0–13.0)(14.0–20.0)
Pneumoconiotic dusts18 997249121 4884.1518 91758 060576 9774.2100100100
(15 500–22 700)(2100–3200)(17 900–25 400)(439 900–611 300)(49 400–70 700)(493 600–673 500)
Total388 222130 920519 142 100.0 9 957 2693 647 17013 604 438 100.0 19.0 9.0 15.0
(313 900–466 600)(100 500–167 700)(441 000–608 900)(8 520 200–11 450 300)(3 010 800–4 335 200)(11 912 000–15 502 800)(16.0–22.0)(7.0–11.0)(13.0–17.0)

*DALYs=disability-adjusted life years; PAF=population attributable fraction.

†PAFs (%) based on DALYs.

‡The numbers in brackets in the whole table are 95% uncertainty intervals.

§Percentage of chronic respiratory disease deaths due to occupational risk factors that were due to this risk factor.

¶Percentage of chronic respiratory disease DALYs due to occupational risk factors that were due to this risk factor.

**Particulate matter, gases and fumes (PMGF) and secondhand smoke (SHS) causing chronic obstructive pulmonary disease.

Global occupational-attributable deaths, DALYs and PAFs from chronic respiratory disease due to airborne exposures by risk factor and sex, 2016 (number, percent and proportion [95% uncertainty interval])* *DALYs=disability-adjusted life years; PAF=population attributable fraction. †PAFs (%) based on DALYs. ‡The numbers in brackets in the whole table are 95% uncertainty intervals. §Percentage of chronic respiratory disease deaths due to occupational risk factors that were due to this risk factor. ¶Percentage of chronic respiratory disease DALYs due to occupational risk factors that were due to this risk factor. **Particulate matter, gases and fumes (PMGF) and secondhand smoke (SHS) causing chronic obstructive pulmonary disease. The PAF for COPD arising from occupational exposures was 17% (95% UI 14%–20%) for DALYs (16% for deaths), ranging from a low of 10% in Central sub-Saharan Africa to 21% in East Asia (table 2). The PAF was much higher in males (21%) than females (11%) and peaked at about 24% in 60–64-year-old males. The highest number of deaths and the highest rate of deaths from COPD due to occupational exposures occurred in the older age groups, often beyond usual retirement age. Males had three to four times the number and rate of deaths compared with females. The peak for number of DALYs occurred in the 65–74 year age group, but the rate of DALYs increased considerably with age and was highest in the 75–84 year group for both males and females (online supplementary figures S1-S4).
Table 2

Deaths, YLLs, YLDs, DALYs and PAFs from COPD due to occupational exposure to PMGF and SHS, by region, 2016 (number, percent, rate, proportion)*

RegionDeathsDeathsYLLsYLDsDALYsDALYsDeathsYLLsYLDsDALYsYLLYLDPAFPAF
number%numbernumbernumber%rate†rate†rate†rate†%‡%‡(deaths)§(DALYs)¶
High-income North America16 6693.6287 084154 716441 8004.19.81739526765.035.09.411.9
Australasia10470.215 975492220 8970.27.71223916176.423.610.013.1
High-income Asia Pacific51501.161 98170 847132 8281.24.8617613646.753.312.015.5
Western Europe18 2584.0250 65673 485324 1413.07.81133514877.322.79.111.6
Southern Latin America28440.644 526496749 4930.510.81742019490.010.012.214.3
Eastern Europe63911.4119 56621 018140 5841.36.31192114085.015.012.713.6
Central Europe46221.078 18320 29998 4820.97.91363617279.420.612.213.9
Central Asia25840.651 612827759 8890.610.11902921986.213.816.416.8
Central Latin America70421.5107 85025 554133 4041.29.31393117180.819.213.615.1
Andean Latin America12410.317 903421722 1200.27.1992312280.919.115.316.1
Caribbean11910.320 636357624 2130.27.21262214785.214.813.214.2
Tropical Latin America99362.2179 69925 150204 8491.913.72393227187.712.315.117.3
East Asia171 30037.22 634 163592 6053 226 76830.231.54619956081.618.418.820.5
Southeast Asia28 0296.1508 878350 306859 1838.015.025216441559.240.818.318.7
Oceania8860.221 518318224 7000.235.976710787487.112.913.913.1
North Africa and Middle East98342.1193 77769 764263 5412.56.91254216773.526.512.412.8
South Asia157 11734.13 049 4101 176 0924 225 50239.534.862622785372.227.815.916.5
Southern sub-Saharan Africa21170.539 71915 45055 1690.511.21977226972.028.012.712.3
Western sub-Saharan Africa47751.0105 14939 099144 2481.37.91444919272.927.116.215.6
Eastern sub-Saharan Africa77161.7154 52446 238200 7611.912.32176027777.023.019.418.3
Central sub-Saharan Africa13330.327 051832835 3790.37.31303616676.523.59.89.5
High SDI 41 4559.0630 080319 949950 0298.97.71226518766.333.79.812.4
High-middle SDI 55 98512.2855 050280 4001 135 45010.612.61916325375.324.715.717.4
Middle SDI 185 78540.43 067 8141 016 2534 084 06638.224.037711048675.124.917.919.3
Low-middle SDI 156 33934.02 995 849971 8783 967 72737.129.552216969175.524.515.916.2
Low SDI 20 5174.5421 068129 612550 6815.216.22918337476.523.515.214.9
Global460 080100.07 969 8612 718 09210 687 953100.018.130910341274.625.415.716.8

*YLL=years of life lost; YLD=years of life lived with disability; DALYs=disability-adjusted life years; PAF=population attributable fraction; COPD=chronic obstructive pulmonary disease; PMGF=particulate matter, gases and fumes; SHS=secondhand smoke.

†Per 100 000 persons.

‡Percentage of DALYs.

§Percentage of all COPD deaths due to occupational exposures.

¶Percentage of all COPD DALYs due to occupational exposures.

SDI, socio-demographic index.

Deaths, YLLs, YLDs, DALYs and PAFs from COPD due to occupational exposure to PMGF and SHS, by region, 2016 (number, percent, rate, proportion)* *YLL=years of life lost; YLD=years of life lived with disability; DALYs=disability-adjusted life years; PAF=population attributable fraction; COPD=chronic obstructive pulmonary disease; PMGF=particulate matter, gases and fumes; SHS=secondhand smoke. †Per 100 000 persons. ‡Percentage of DALYs. §Percentage of all COPD deaths due to occupational exposures. ¶Percentage of all COPD DALYs due to occupational exposures. SDI, socio-demographic index. By far the highest number of deaths and DALYs from COPD occurred in East Asia and South Asia, the regions with the largest populations, which together accounted for about 71% of both measures. The highest rates of deaths were in Oceania, South Asia and East Asia, the rates in these three regions being considerably higher than elsewhere (the lowest rates were in high-income Asia Pacific and Eastern Europe). The same regions had the highest DALY rates (the lowest DALY rates were in Andean Latin America, high-income Asia Pacific and the Caribbean). Rates tended to be higher in low-middle and middle SDI regions, and there was considerable variation between regions. Seventy-five percent of the DALYs were due to years of life lost (YLLs); this predominance of YLLs was seen in nearly all regions (table 2). Information on the separate contribution of SHS to COPD is presented in the online supplementary material. The PAF for asthma from occupational exposures was estimated to be 9.9% (95% UI 9.0%–10.9%) based on DALYs (8.9% [95% UI 7.8–10.1%] based on deaths), ranging from 4.1% in Central sub-Saharan Africa to 12.0% in South Asia (table 3). The PAF was higher for males (13%) than females (7%) and peaked at around 18% between the ages of about 35 and 49 years.
Table 3

Deaths, YLLs, YLDs, DALYs and PAFs from asthma due to occupational exposure to asthmagens, by region, 2016 (number, percent, rate, proportion)*

RegionDeathsDeathsYLLsYLDsDALYsDALYsDeathsYLLsYLDsDALYsYLLYLDPAFPAF
number%numbernumbernumber%rate†rate†rate†rate†%‡%‡(deaths)§(DALYs)¶
High-income North America3881.015 26971 60586 8733.70.310.650.260.717.682.48.810.7
Australasia230.185711 29112 1480.50.27.4100.1107.57.192.94.39.0
High-income Asia Pacific1350.4349334 43137 9231.60.24.246.350.59.290.82.68.0
Western Europe1820.5652594 309100 8344.30.13.655.859.46.593.52.88.4
Southern Latin America460.1155812 84914 4070.60.26.251.657.810.889.24.97.5
Eastern Europe2040.5675034 06040 8101.70.27.238.145.216.583.55.28.2
Central Europe590.2187716 77318 6500.80.13.634.738.310.189.93.48.2
Central Asia1660.4542313 95319 3760.80.617.542.960.428.072.08.09.4
Central Latin America1850.5631532 52938 8441.70.27.034.341.416.383.75.76.8
Andean Latin America310.1952897799290.40.24.842.046.79.690.47.46.8
Caribbean1400.45049844213 4910.60.829.649.378.937.462.67.56.5
Tropical Latin America1760.5629122 64728 9371.20.27.526.734.221.778.36.37.2
East Asia11643.135 597162 558198 1568.50.25.726.632.318.082.05.19.3
Southeast Asia731519.5224 974142 208367 18215.73.396.057.8153.861.338.79.511.0
Oceania2920.89862261912 4810.59.3297.671.8369.579.021.07.68.5
North Africa and Middle East13443.647 97184 044132 0155.60.725.341.366.636.363.76.06.7
South Asia21 08556.1669 102223 370892 47238.13.9117.537.9155.475.025.09.712.0
Southern sub-Saharan Africa4741.317 14613 27430 4201.32.069.449.5118.956.443.67.78.0
Western sub-Saharan Africa13953.750 24951 856102 1054.41.550.745.396.149.250.810.78.5
Eastern sub-Saharan Africa24526.585 58575 354160 9396.92.991.868.2160.053.246.813.210.7
Central sub-Saharan Africa3160.811 31510 17321 4870.91.241.133.174.152.747.35.14.1
High SDI 776 2.1 27 685213 996241 681 10.3 0.2 6.5 52.1 58.6 11.5 88.5 4.6 9.2
High-middle SDI 1320 3.5 44 449185 336229 785 9.8 0.3 9.1 38.1 47.2 19.3 80.7 6.2 9.1
Middle SDI 8807 23.4 277 589316 569594 158 25.4 1.0 30.5 34.5 65.0 46.7 53.3 8.1 9.3
Low-middle SDI 21 524 57.3 683 953297 559981 512 42.0 3.3 101.3 41.4 142.7 69.7 30.3 9.7 11.1
Low SDI 5147 13.7 178 483113 860292 343 12.5 2.9 94.3 52.3 146.5 61.1 38.9 9.9 8.9
Global37 574100.01 212 1601 127 3202 339 480100.01.444.040.584.551.848.28.99.9

*YLL=years of life lost; YLD=years of life lived with disability; DALYs=disability-adjusted life years; PAF=population attributable fraction.

†Per 100 000 persons.

‡Percentage of DALYs.

§Percentage of all asthma deaths due to occupational exposures.

¶Percentage of all asthma DALYs due to occupational exposures.

SDI, socio-demographic index.

Deaths, YLLs, YLDs, DALYs and PAFs from asthma due to occupational exposure to asthmagens, by region, 2016 (number, percent, rate, proportion)* *YLL=years of life lost; YLD=years of life lived with disability; DALYs=disability-adjusted life years; PAF=population attributable fraction. †Per 100 000 persons. ‡Percentage of DALYs. §Percentage of all asthma deaths due to occupational exposures. ¶Percentage of all asthma DALYs due to occupational exposures. SDI, socio-demographic index. Deaths arising from occupational exposure to asthmagens occurred at all ages from 15 to 79 years, but the highest numbers occurred in persons aged 55–64 and the highest rates in persons aged 65–79. The burden was spread more evenly across age groups in terms of DALYs, with the highest number of DALYs in the 45–54 year age group and the highest rates in the 55–64 year age group (online supplementary figures S5-S8). The highest number of deaths occurred in South Asia and Southeast Asia, and rates were highest in the low and low-middle SDI regions, particularly Oceania, South Asia and Southeast Asia (the lowest rates were in Western Europe and Central Europe). A similar pattern was seen for DALYs (the lowest rates were in East Asia and Tropical Latin America). Overall, YLLs and years of life with disability each contributed about 50% to the DALYs. However, low and low-middle SDI regions had a much higher proportion of DALYs due to YLLs compared with high-income regions, reflecting that a higher proportion of deaths occurred at younger ages in these regions compared with the high and high-middle SDI regions (table 3).

Pneumoconiotic dusts

The PAF for all pneumoconioses was assumed to be 100%. Silicosis (48%) was the largest specific cause of death from pneumoconiosis, ahead of asbestosis (16%) and CWP (12%), but about one-quarter of the deaths were classified in the ‘other pneumoconiosis’ category. There was a similar distribution between pneumoconiosis categories in terms of DALYs (table 4). The number of deaths increased with age until age 85 years and over, and the age-standardised death rates were highest in the older age groups. There was a broader distribution of DALYs across age groups, and although the rates still increased with increasing age, the rate was highest in the 75–84 year age group (online supplementary figures S9-S12).
Table 4

Global occupational-attributable deaths and DALYs from pneumoconioses due to exposure to pneumoconiotic dusts, by region, 2016 (number and rate)*

RegionDeaths Asb*Deaths CWP*Deaths Sil*Deaths Oth*Deaths total%Death rate†YLLs %‡YLDs‡DALYsDALYs %DALY rate†
High-income North America6742831187811535.40.755.644.427 3094.716.5
Australasia8711161050.50.888.411.614440.310.8
High-income Asia Pacific34527948647715877.41.595.94.121 6573.821.4
Western Europe9483301388147281413.11.292.27.835 3856.115.5
Southern Latin America3017132181970.90.787.912.132360.612.5
Eastern Europe3729351722721.30.356.543.585011.58.6
Central Europe387583642601.20.448.351.790581.616.0
Central Asia143249680.30.363.936.124600.48.7
Central Latin America383390752351.10.349.550.592941.611.4
Andean Latin America9720821170.50.791.38.723510.412.6
Caribbean42513240.10.161.938.17390.14.4
Tropical Latin America65502351174682.20.685.015.012 7802.216.1
East Asia34596064431080882841.11.566.533.5303 31852.649.8
Southeast Asia3713391192081.00.124.875.216 4802.97.7
Oceania51717300.11.486.014.08160.129.6
North Africa and Middle East6943931954011.90.362.737.313 8822.48.2
South Asia54751910891953410919.10.990.89.292 60316.018.4
Southern sub-Saharan Africa1331251642601.21.392.67.461421.128.9
Western sub-Saharan Africa103538570.30.174.825.220990.42.4
Eastern sub-Saharan Africa4719551082291.10.489.610.457451.07.5
Central sub-Saharan Africa1261533660.30.490.010.016800.37.5
High SDI 2015 977 1855 770 5617 26.1 1.0 78.2 21.8 89 690 15.5 17.3
High-middle SDI 307 324 1702 569 2902 13.5 0.6 59.2 40.8 90 287 15.6 18.9
Middle SDI 598 778 527715218173 38.0 1.0 68.6 31.4 273 759 47.4 31.7
Low-middle SDI 485 548 144017814253 19.8 0.8 83.4 16.6 109 444 19.0 18.2
Low SDI 90 57 129 266 542 2.5 0.4 88.6 11.4 13 797 2.4 8.8
Global 3495268510 402490621 488100.00.871.928.1576 977100.021.9

*YLL=years of life lost; YLD=years of life lived with disability; DALYs=disability-adjusted life years; PAF=population attributable fraction; Asb’=asbestosis; CWP=coal workers’ pneumoconiosis; ‘Sil’=silicosis; ‘Oth’=other pneumoconiosis.

†Per 100 000 persons.

‡Percentage of DALYs.

SDI, socio-demographic index.

Global occupational-attributable deaths and DALYs from pneumoconioses due to exposure to pneumoconiotic dusts, by region, 2016 (number and rate)* *YLL=years of life lost; YLD=years of life lived with disability; DALYs=disability-adjusted life years; PAF=population attributable fraction; Asb’=asbestosis; CWP=coal workers’ pneumoconiosis; ‘Sil’=silicosis; ‘Oth’=other pneumoconiosis. †Per 100 000 persons. ‡Percentage of DALYs. SDI, socio-demographic index. The highest number of deaths and DALYs overall and for silicosis and CWP occurred in East Asia, South Asia and Western Europe, with high-income North America replacing East Asia for asbestosis deaths. The age-standardised death rates were highest in high-income Asia Pacific, East Asia and Oceania (the lowest rates were in Southeast Asia and the Caribbean), and the DALY rates highest in East Asia, Oceania and Southern sub-Saharan Africa (the lowest rates were in the Caribbean and Southeast Asia). Sixty-two percent of the silicosis deaths and 36% of the CWP deaths occurred in East Asia, and 27% of the asbestosis deaths occurred in Western Europe, which also had the second-highest rate (behind East Asia) of silicosis deaths. Western Europe, South Asia and East Asia had the highest number of asbestosis deaths, and East Asia, Australasia and Western Europe had the highest rate of asbestosis deaths (table 4—the rate data for individual pneumoconioses are not shown here).

Changes over time

For COPD, there was little change (4% rise) in the number of deaths due to occupational exposure to PMGF and SHS between 1990 and 2016, but the (standardised) rate of death from COPD declined by 41% over this time. For asthmagens, the number of deaths due to occupational exposure increased by 7% and the rate of death declined by 36%. The number of deaths from pneumoconioses changed minimally (1%) over this period, but the rate of death from pneumoconioses declined by 41%. Changes in the numbers and rates of DALYs were similar to those seen for deaths, except for asthma, which had a 27% increase in DALYs between 1990 and 2016. The PAFs for asthma rose considerably over this time (21% for deaths; 28% for DALYs), but there was little change in the PAFs for COPD (table 5).
Table 5

Change in global occupational-attributable deaths and DALYs from chronic respiratory disease due to occupational exposure to asthmagens, PMGF, SHS and pneumoconiotic dusts between 1990 and 2016, number and per capita (number and percent [95% uncertainty interval])*

Risk factorDeathsDALYs
1990†2016% change19902016% change
Asthmagens35 22837 5746.71 845 4942 339 48026.8
(24 103–48 462)(28 362–47 936) (−19.5 to 36.1)(1 406 629–2 327 424)(1 860 896–2 923 319)(0.8 to 58.4)
PMGF+SHS441 702460 0804.29 825 53910 687 9538.8
(367 000–521 000)(381 500–551 300) (−13.6 to 24.8)(8 149 400–11 533 600)(9 019 900–12 517 000)(−8.2 to 27.4)
Pneumoconiotic dusts21 20921 4881.3567 941576 9771.6
(16 000–31 400)(17 900–25 400) (−15.6 to 19.8)(442 576–832 555)(493 632–673 528)(−13.1 to 18.6)
Total498 139519 1424.212 238 97413 604 41011.2
(407 000–600 900)(427 800–624 600) (−14.9 to 25.4)(10 667 700–13 881 800)(11 912 000–15 502,800)(−2.7 to 26.7)

*DALYs=disability-adjusted Life Years; PMGF=particulate matter, gases and fumes; SHS=secondhand smoke.

†The numbers in brackets in the whole table are 95% uncertainty intervals.

Change in global occupational-attributable deaths and DALYs from chronic respiratory disease due to occupational exposure to asthmagens, PMGF, SHS and pneumoconiotic dusts between 1990 and 2016, number and per capita (number and percent [95% uncertainty interval])* *DALYs=disability-adjusted Life Years; PMGF=particulate matter, gases and fumes; SHS=secondhand smoke. †The numbers in brackets in the whole table are 95% uncertainty intervals.

Discussion

This analysis of the GBD 2016 study has shown there is a considerable burden of chronic respiratory disease worldwide and in all regions arising from exposure to occupational risk factors. Chronic obstructive pulmonary disease is the primary resulting disease, in terms of both deaths and DALYs, but asthma and pneumoconioses are also important. Rates were much higher in males than females for all these disorders, but important in both. The lower female rates reflect the fact that women are less likely to be employed in tasks that involve the relevant exposures.23 The results are consistent with those from the overall GBD respiratory analysis.30 The decreases in per capita burden for most measures, and the increase for asthma DALYs, result primarily from changes in the relevant PAFs that, in turn, reflect changes in the occupation and industry distribution, which are the basis of the exposure assessments.

PMGF, SHS and COPD

The global estimate of the PAF for COPD arising from occupational exposure to PMGF and SHS (17% for DALYs; 16% for deaths) is consistent with most published findings for individual countries and overall. These have typically reported PAFs of the order of 10%–15%, although much higher values have been estimated, particularly for non-smokers, typically due to differences in the level or type of exposures of the included subjects or the use of different assumptions.1 10 31–35 In addition, as smoking rates diminish, the PAF for occupational risk factors will increase. In comparison, the GBD 2016 study estimated PAFs for COPD in regard to smoking and SHS of 43% and ambient particulate matter pollution of 27%.22 The CRA study (covering the year 2000) estimated 318 000 deaths and PAFs from occupational exposure of 13% based on DALYs and 12% based on deaths.14 The Burden of Obstructive Lung Disease (BOLD) study documented a direct relationship between COPD prevalence and number of years worked in dusty jobs.36

Asthmagens and asthma

As with COPD related to occupational exposures, the occupational asthma PAF estimates of 10% for DALYs and 9% for deaths from this study are consistent with most published findings for individual countries, which are of the order of 10%–15%3 7 8 10 28 and comparable to the PAF due to smoking (10% for DALYs; 14% for deaths).22 The CRA study, which was based on the year 2000, estimated a PAF of 11% based on DALYs and 17% based on deaths (and estimated 38 000 deaths),14 the differences primarily arising from changes in the employment distribution and slight differences in the general methodology.22

Pneumoconiotic dusts and pneumoconioses

Obtaining reliable global information on pneumoconiosis cases is challenging. This analysis identified silicosis as the predominant pneumoconiosis, with much lower numbers of cases of asbestosis and CWP. The increase in rates with age is consistent with the published literature,37 and the number of deaths is consistent with the publicly available data for many countries, but also differs considerably for some others for which the estimates here are notably different from the numbers reported in the WHO Mortality Database.38 The reason for this is not clear, but presumably is because of the use of different primary data sources and assumptions in the GBD modelling process. It is likely that most of the moderate proportion of pneumoconiosis deaths and DALYs (both 23%) coded in GBD 2016 as due to ‘Other pneumoconioses’ were actually due to silicosis, asbestosis or CWP, as these have always been identified as the three main pneumoconioses. The different coding is likely to have arisen due to incomplete coding in the source data and the way this was allocated to specific categories.

Methodological considerations and limitations

Most of the methodological issues specific to the three main outcomes of interest have already been considered in the relevant sections of the Discussion. The main general uncertainties have been considered in detail in the companion overview paper.21 Issues of particular relevance to the presented analysis included basing exposure prevalence estimates on industry (for PMGF and SHS) and occupation (for asthmagens); uncertainty in the prevalence and level of exposure to PMGF overall and in different industries; the potential for mismatch between the relative risk estimates used and the exposure circumstances to which they have been applied; not explicitly taking into account the potential effect of differences in smoking habits and environmental exposures between regions and over time; probable heterogeneity in terms of how chronic respiratory conditions are identified, diagnosed and managed worldwide; and not including some potentially relevant risk factors and outcomes such as respiratory infections,39 other occupational causes of fibrosis apart from pneumoconioses and lung disease arising from nanoparticle exposure.40 For both COPD and asthma, the extent and effect of any mismatch between the exposure and the relative risk estimate applied in LMI countries are not clear. It would be helpful to have usable information on this from LMI countries, which might allow different risk estimates to be applied in these countries if appropriate. However, currently the necessary data are not available.

Implications and uses of the data

The main finding of this study is that workplace exposures resulting in COPD, asthma and pneumoconioses remain important contributors to the burden of disease in all regions of the world. The relevant exposures are respiratory and it should be possible to minimise all (or most), and in some instances to essentially eliminate them, through appropriate commitment to, and implementation of, exposure control interventions to decrease the airborne exposure levels of the relevant hazards. However, it must be recognised that there are a range of PMGF implicated as increasing the risk of COPD and hundreds of known occupational asthmagens. Elimination or appropriate control of many of these exposures will take considerable resources and effort and requires continued vigilance. The study does not provide information on the cost or practicality of eliminating or better controlling the relevant exposures, and the results for COPD and pneumoconioses largely reflect past exposures. However, the high burden of COPD cases suggests the relevant exposures should be a priority in the area of occupational airborne exposures resulting in chronic respiratory disease. The findings also have implications for healthcare costs and social protection in older individuals. Finally, further investment in country-level data sources, especially in LMI countries, would help improve the accuracy and usefulness of the estimates generated by the GBD study.

Conclusions

There are many respiratory conditions that can arise directly, or indirectly, from work. The results from this study indicate that non-malignant/non-infectious respiratory diseases arising from occupational exposures are an important cause of death and disability worldwide. Many of these cases should be preventable by adopting better health and safety approaches, particularly through improved engineering and working conditions.
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Hwashin H Shin; Yukito Shinohara; Rahman Shiri; Kawkab Shishani; Ivy Shiue; Inga D Sigfusdottir; Donald H Silberberg; Edgar P Simard; Shireen Sindi; Abhishek Singh; Gitanjali M Singh; Jasvinder A Singh; Vegard Skirbekk; Karen Sliwa; Michael Soljak; Samir Soneji; Kjetil Søreide; Sergey Soshnikov; Luciano A Sposato; Chandrashekhar T Sreeramareddy; Nicolas J C Stapelberg; Vasiliki Stathopoulou; Nadine Steckling; Dan J Stein; Murray B Stein; Natalie Stephens; Heidi Stöckl; Kurt Straif; Konstantinos Stroumpoulis; Lela Sturua; Bruno F Sunguya; Soumya Swaminathan; Mamta Swaroop; Bryan L Sykes; Karen M Tabb; Ken Takahashi; Roberto T Talongwa; Nikhil Tandon; David Tanne; Marcel Tanner; Mohammad Tavakkoli; Braden J Te Ao; Carolina M Teixeira; Martha M Téllez Rojo; Abdullah S Terkawi; José Luis Texcalac-Sangrador; Sarah V Thackway; Blake Thomson; Andrew L Thorne-Lyman; Amanda G Thrift; George D Thurston; Taavi Tillmann; Myriam Tobollik; Marcello Tonelli; Fotis Topouzis; Jeffrey A Towbin; Hideaki Toyoshima; Jefferson Traebert; Bach X Tran; Leonardo Trasande; Matias Trillini; Ulises Trujillo; Zacharie Tsala Dimbuene; Miltiadis Tsilimbaris; Emin Murat Tuzcu; Uche S Uchendu; Kingsley N Ukwaja; Selen B Uzun; Steven van de Vijver; Rita Van Dingenen; Coen H van Gool; Jim van Os; Yuri Y Varakin; Tommi J Vasankari; Ana Maria N Vasconcelos; Monica S Vavilala; Lennert J Veerman; Gustavo Velasquez-Melendez; N Venketasubramanian; Lakshmi Vijayakumar; Salvador Villalpando; Francesco S Violante; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Gregory R Wagner; Stephen G Waller; Mitchell T Wallin; Xia Wan; Haidong Wang; JianLi Wang; Linhong Wang; Wenzhi Wang; Yanping Wang; Tati S Warouw; Charlotte H Watts; Scott Weichenthal; Elisabete Weiderpass; Robert G Weintraub; Andrea Werdecker; K Ryan Wessells; Ronny Westerman; Harvey A Whiteford; James D Wilkinson; Hywel C Williams; Thomas N Williams; Solomon M Woldeyohannes; Charles D A Wolfe; John Q Wong; Anthony D Woolf; Jonathan L Wright; Brittany Wurtz; Gelin Xu; Lijing L Yan; Gonghuan Yang; Yuichiro Yano; Pengpeng Ye; Muluken Yenesew; Gökalp K Yentür; Paul Yip; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Zourkaleini Younoussi; Chuanhua Yu; Maysaa E Zaki; Yong Zhao; Yingfeng Zheng; Maigeng Zhou; Jun Zhu; Shankuan Zhu; Xiaonong Zou; Joseph R Zunt; Alan D Lopez; Theo Vos; Christopher J Murray
Journal:  Lancet       Date:  2015-09-11       Impact factor: 79.321

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  17 in total

1.  The burden of pneumoconiosis in China: an analysis from the Global Burden of Disease Study 2019.

Authors:  Jie Li; Peng Yin; Haidong Wang; Lijun Wang; Jinling You; Jiangmei Liu; Yunning Liu; Wei Wang; Xiao Zhang; Piye Niu; Maigeng Zhou
Journal:  BMC Public Health       Date:  2022-06-03       Impact factor: 4.135

2.  The impact of wood dust on pulmonary function and blood immunoglobulin E, erythrocyte sedimentation rate, and C- reactive protein: A cross-sectional study among sawmill workers in Tangail, Bangladesh.

Authors:  Md Roman Mogal; Md Didarul Islam; Md Ikbal Hasan; Asadullah Junayed; Sagarika Adhikary Sompa; Md Rashel Mahmod; Aklima Akter; Md Zainul Abedin; Md Asaduzzaman Sikder
Journal:  Health Sci Rep       Date:  2022-05-22

3.  Global and regional burden of cancer in 2016 arising from occupational exposure to selected carcinogens: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Occup Environ Med       Date:  2020-03       Impact factor: 4.402

4.  Global and regional burden of disease and injury in 2016 arising from occupational exposures: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Occup Environ Med       Date:  2020-03       Impact factor: 4.402

5.  Systematic Review of Potential Occupational Respiratory Hazards Exposure Among Sewage Workers.

Authors:  Kamarulzaman Muzaini; Siti Munira Yasin; Zaliha Ismail; Ahmad Razali Ishak
Journal:  Front Public Health       Date:  2021-03-08

6.  Association between cognitive declines and disability in activities of daily living in older adults with COPD: evidence from the China health and retirement longitudinal study.

Authors:  Bingyan Gong; Shaomei Shang; Chao Wu
Journal:  BMJ Open       Date:  2020-10-28       Impact factor: 2.692

7.  Burden of Mesothelioma Deaths by National Income Category: Current Status and Future Implications.

Authors:  Odgerel Chimed-Ochir; Diana Arachi; Tim Driscoll; Ro-Ting Lin; Jukka Takala; Ken Takahashi
Journal:  Int J Environ Res Public Health       Date:  2020-09-21       Impact factor: 3.390

8.  Commentary.

Authors:  Hans Kromhout; Martie van Tongeren; Cheryl E Peters; Amy L Hall
Journal:  Occup Environ Med       Date:  2020-06-12       Impact factor: 4.402

Review 9.  Use of corticosteroids in asthma and COPD patients with or without COVID-19.

Authors:  Syed Shahzad Hasan; Toby Capstick; Syed Tabish Razi Zaidi; Chia Siang Kow; Hamid A Merchant
Journal:  Respir Med       Date:  2020-05-26       Impact factor: 4.582

10.  Occupational Cement Dust Exposure and Inflammatory Nemesis: Bangladesh Relevance.

Authors:  Rahnuma Ahmad; Qazi Shamima Akhter; Mainul Haque
Journal:  J Inflamm Res       Date:  2021-06-09
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