Original article

Scand J Work Environ Health 2017;43(6):550-559    pdf


Mesothelioma incidence and asbestos exposure in Italian national priority contaminated sites

by Binazzi A, Marinaccio A, Corfiati M, Bruno C, Fazzo L, Pasetto R, Pirastu R, Biggeri A, ­Catelan D, Comba P, Zona A

Objectives This study aimed to (i) describe mesothelioma incidence in the Italian national priority contaminated sites (NPCS) on the basis of data available from the Italian National Mesothelioma Registry (ReNaM) and (ii) profile NPCS using Bayesian rank analysis.

Methods Incident cases of mesothelioma and standardized incidence ratios (SIR) were estimated for both genders in each of the 39 selected NPCS in the period 2000–2011. Age-standardized rates of Italian geographical macro areas were used to estimate expected cases. Rankings of areas were produced by a hierarchical Bayesian model. Asbestos exposure modalities were discussed for each site.

Results In the study period, 2683 incident cases of mesothelioma (1998 men, 685 women) were recorded. An excess of mesothelioma incidence was confirmed in sites with a known past history of direct use of asbestos (among men) such as Balangero (SIR 197.1, 95% CI 82.0–473.6), Casale Monferrato (SIR 910.7, 95% CI 816.5–1012.8), and Broni (SIR 1288.5, 95% CI 981.9–1691.0), in sites with shipyards and harbors (eg, Trieste, La Spezia, Venice, and Leghorn), and in settings without documented direct use of asbestos. The analysis ranked the sites of Broni and Casale Monferrato (both genders) and Biancavilla (only for women) the highest.

Conclusions The present study confirms that asbestos pollution is a risk for people living in polluted areas, due to not only occupational exposure in industrial settings with direct use of asbestos but also the presence of asbestos in the environment. Epidemiological surveillance of asbestos-related diseases is a fundamental tool for monitoring the health profile in NPCS.

The following article refers to this text: 2019;45(5):444-449

The World Health Organization (WHO) has defined contaminated sites as areas that have produced or might produce in the future an environmental contamination, which results or could result in human health impacts (1). The European Environmental Agency (EEA) estimates there are 342 000 contaminated sites (CS) in the 39 EEA countries on the basis of the soil contamination regulation; one third has already been identified and about 15% have been remediated (2). In Italy, a total of 57 sites have been defined as national priority contaminated sites (NPCS) in 2009, due to the relevance of soil and water contamination and the resulting potential health impact on the basis of European and national regulation. Epidemiological surveillance systems are essential in analyzing the health profile of populations residing in contaminated sites and for testing the associations between environmental exposure and health outcomes (3).

In the framework of the national strategic program “Environment and Health”, established by the Italian Ministry of Health and coordinated by the National Health Institute, the “SENTIERI project” (an epidemiological study of residents health in NPCS) was conducted with the aim of monitoring the health effects of environmental contaminations. The SENTIERI project measured an excess of deaths (9969 for all causes and 4309 for cancer) in the period 1995–2002 among residents in NPCS (4). In 18 NPCS served by a cancer registry, an excess of cancer incidence (about 9% among men and 7% among women) was observed in the framework of the same project (5). Among the contaminants listed by specific decrees that define the NPCS boundaries, asbestos (or asbestos-like fibres) was reported together with additional pollutant sources in 12 of the 44 sites investigated by the SENTIERI project, and as the only pollutant source in 4 (namely, the sites of Broni in Lombardy, Casale Monferrato in Piedmont, Bari in Apulia and Biancavilla in Sicily). In Italy, 3 748 550 tons of raw asbestos have been produced up to 1992 (year of definite asbestos ban), with a peak between 1976 and 1980 of >160 000 tons/year (6). For this reason, Italy is one of the countries more sensitive to the issues of monitoring and preventing asbestos-related health effects. Malignant mesothelioma (MM) is an uncommon neoplasm with high mortality that typically originates in mesothelial cells coating the serous cavities, mainly the pleura and the peritoneum and, to a lesser extent, also the pericardium and testicular tunica vaginalis. The risk of MM attributable to occupational asbestos exposure has been reported to range between 86–95%, according to epidemiological studies (79), but such percentages must be considered with caution as they are actually place- and time-specific.

The relevance of environmental exposure to asbestos for the occurrence of mesothelioma in Italy was recently estimated (10), and residences near asbestos-cement plants were frequently reported as a documented source of risk for mesothelioma in analytical epidemiological studies carried out in Casale Monferrato (11), Bari (12), Broni (13), La Spezia (included in the NPCS of Pitelli) (14). While the extent of occupational exposure to asbestos is expected to decrease in the next years, the contribution of different patterns of non-occupational exposures is likely underestimated due to exposure levels that are usually lower than in the workplace, although not negligible and reliably associated with the risk of mesothelioma (15).

As a consequence of the relevant and widespread use of asbestos in Italy, a permanent MM surveillance system has been active since 2002 through the National Register of Malignant Mesotheliomas (“Registro Nazionale dei Mesoteliomi – ReNaM” in Italian) at the National Institute for Insurance against Accidents at Work (INAIL). ReNaM performs active research of MM cases and asbestos-exposure assessment under standardized procedures and methods (16). Information about demographic, clinical, occupational, residential, and familial histories of MM cases are collected, and analytical studies about the incidence, epidemiological parameters of the diseases, territorial distribution of cases, and the modalities of asbestos exposure have been published (6, 10, 17). The aim of this study was to estimate the relative risk of MM incidence, provided by the ReNaM, and rank the risk of diseases for the population residing in NPCS.


The observed MM cases were extracted from the ReNaM archives in the period of diagnosis 2000–2011. In accordance with the law, the national register obtains data of incident MM cases from the Regional Operating Centres [Centri Operativi Regionali (COR) in Italian], currently established in all Italian regions. Diagnostic coding criteria are established by means of a 3-class scale of decreasing level of certainty: certain, probable, and possible MM (18). Occupational history, lifestyle habits, and residential histories are obtained using a standardized questionnaire completed by the subject or the next of kin. The classification of occupational exposure is qualitative, identified as: definite, probable, or possible. In the present analysis, the three levels of occupational exposure (definite, probable, possible) were considered together. Specific codes were assigned to environmental exposure (for a MM subject residing near a source of asbestos pollution, without any work-related exposure), familial exposure (when patients have lived with a cohabitant who has been occupationally exposed), and leisure activities exposure (other non-occupational exposures, likely due to leisure-time activities). Details are extensively described in the ReNaM national guidelines (19).

ReNaM is operational across all of Italy, but MM case lists from the regions of Sardinia and Calabria cannot be considered complete in the study period. For this reason, of the 44 Italian NPCS previously evaluated as eligible for the epidemiological assessment in the context of the SENTIERI projects, we excluded 3 sites (Sulcis-Iglesiente-Guspinese, Aree industriali Porto Torres in Sardinia, and Crotone in Calabria). Moreover, the corresponding COR did not detect any MM cases in 2 sites (Emarese in Valle d’Aosta and Tito in Basilicata), in the period 2000–2011, and they too have been excluded (figure 1). The time period of study has been restricted to 2001–2011 for the sites of Bacino idrografico fiume Sacco, Litorale Domizio Flegreo and Area Litorale Vesuviano, to 2005–2011 for the site of Bolzano, and to 2006–2011 for the site of Terni, due to unavailability of incidence data in the previous years.

Figure 1

Geographical distribution of the 39 national priority contaminated sites and number of malignant mesothelioma cases in the period 2000–2011.


Age-standardized incidence rates of mesothelioma (with direct method using the Italian population in 2010 as reference; all anatomical sites included) and trends over time for the overall NPCS were calculated in the period 2000–2011 by gender.

In each NPCS included in the analyses, the SIR for MM in any anatomical site (pleura, peritoneum, pericardium, and tunica vaginalis testis) were estimated for both genders separately. Gender- and age-specific rates of MM in the four Italian geographical macro areas (North-East, North-West, Centre, South-Islands) were calculated to derive expected numbers. The population of the macro areas was used as a reference in order to highlight the excesses of mesothelioma risk with a non-homogenous territorial distribution, taking into account the different industrial development across Italy. Therefore, each macro area must be considered individually, and the SIR emphasize the impact of asbestos exposure in every analyzed NPCS.

Confidence interval (CI) at 95% were estimated for each SIR according to Poisson distribution (20) and applying Byar’s approximation when >100 cases were observed (21).

Hierarchical Bayesian models, described elsewhere in detail (22), were specified on SIR. In brief, let Yi, the observed number of cases in the ith NPCS, follow a Poisson distribution with mean Eiθi, the expected number of cases times the parameter θi, the unknown relative risk (RR) for the ith NPCS. We assumed that for each area, log(θi) was independently drawn from a normal distribution with mean parameter following a weakly informative normal hyperprior distribution with zero mean and precision 0.0001 and precision parameter as inverse Gamma (23). Rank posterior distributions of RR were obtained from MCMC runs. The rank of the parameter of interest (RR θi) was computed at each iteration. The MCMC ran approximate the joint cumulative posterior distribution of RR F(θ|Y) and hence it was possible to approximate the posterior distribution [Ri|Y] ∀i and its summaries (for example the posterior mean as point estimate of the rank). Notice the posterior mean of the rank is usually not integer and is shrunken toward the mid-rank. From the posterior rank distribution, 80% CI can directly be obtained (24).

All statistical analyses were carried out by IBM SPSS statistics software (IBM Statistical Package for Social Sciences for Windows, Version 22.0. Armonk, New York, USA) and WinBugs14 (25).


In the analysis of the 39 NPCS, 2683 MM cases (1998 men and 685 women) were detected in the period 2000–2011. The corresponding figure in Italy in the same period is 16 837 MM incident cases (4872 women and 11 965 men).

Pleural site is largely predominant (2535 cases, 94.5%), but peritoneal cases (142), pericardial (3), and tunica vaginalis testis (3) cases were also registered. The overall study findings are reported in table 1. A statistically significant (P<0.05) excess of mesothelioma incidence was estimated in 20 NPCS for men (of which 9 also for women), namely: Casale Monferrato (men and women), Cengio e Saliceto, Broni (men and women) and Pitelli in the North West of Italy; Venezia (men and women), Laguna di Grado e Marano and Trieste (men and women) in the North East; Massa Carrara, Livorno (men and women), Piombino, Falconara Marittima and Basso bacino Fiume Chienti in Central Italy; Litorale Domizio Flegreo, Area Litorale Vesuviano, Bari (men and women), Taranto (men and women), Milazzo, Gela, Biancavilla (men and women), and Priolo (men and women) in Southern Italy. A defect in male MM incidence cases was observed in the sites of Bolzano and Trento Nord (North East). Further excesses, but not statistically significant, were found in 8 NPCS for men, and 11 for women.

Table 1

Incident mesothelioma cases (N), standardized incidence ratio (SIR) and 95% confidence interval (95% CI) in Italian national priority contaminated sites (NPCSs) by gender.

Region NPCS Acronym Men Women

N SIR 95% CI N SIR 95% CI
North-Western Italy
Piedmont  Balangero BAL 5 197.1 82.0–473.6 · · ··
 Casale Monferrato CAS 340 910.7 816.5–1012.8 248 1338.1 1176.7–1515.4
 Serravalle Scrivia SER 1 28.2 4.0–200.0 1 64.4 9.1–456.9
 Pieve Vergonte PIV 1 43.6 6.1–309.2 · · ··
Piedmont, Liguria  Cengio e Saliceto CES 31 165.8 116.6–235.7 8 98.0 49.0–195.9
Lombardy  Cerro al Lambro CER 2 83.2 20.8–332.5 1 97.9 13.8–695.1
 Pioltello Rodano PIR 11 101.4 56.2–183.1 6 123.9 55.6–275.7
 Sesto San Giovanni SES 37 80.6 58.4–111.2 18 81.5 51.3–129.3
 Brescia Caffaro BRE 50 68.8 52.1–90.8 26 65.7 44.7–96.5
 Broni BRO 52 1288.5 981.9–1691.0 43 2006.7 1488.3–2705.8
 Laghi Di Mantova E Polo Chimico LMN 14 61.4 36.4–103.7 7 55.2 26.3–115.9
Liguria  Cogoleto Stoppani COS 14 154.6 91.6–261.0 3 69.9 22.5–216.7
 Pitelli PIT 201 445.4 385.9–511.4 30 124.5 87.1–178.1
North-Eastern Italy
A.P. Bolzano  Bolzano BOL 4 17.5 6.6–46.7 · · ··
A.P. Trento  Trento Nord TRE 7 30.5 14.5–64.0 3 37.1 12.0–115.1
Veneto  Venezia VEN 127 181.0 150.9–215.4 36 144.5 104.2–200.3
Friuli Venezia Giulia  Laguna di Grado e Marano LGM 15 196.7 118.6–326.2 2 82.3 20.6–329.0
 Trieste TRI 209 374.5 325.4–428.9 42 204.4 151.0–276.5
Emilia Romagna  Fidenza FID 11 98.2 54.4–177.4 7 185.5 88.4–389.2
 Sassuolo - Scandiano SAS 18 80.6 50.8–127.9 2 29.0 7.3–116.1
Central Italy
Tuscany  Massa Carrara MSC 46 243.4 182.3–324.9 10 149.6 80.5–278.1
 Livorno LIV 113 429.6 354.0–516.5 25 277.1 187.3–410.1
 Piombino PIO 17 287.6 178.8–462.7 2 100.4 25.1–401.6
 Orbetello ORB 2 88.0 22.0–351.8 1 128.7 18.1–913.7
Umbria  Terni – Papigno a TER 20 118.7 76.6–184.0 3 51.9 16.7–160.9
Marche  Falconara Marittima FAL 17 401.0 249.3–645.1 1 72.2 10.2–512.6
 Basso Bacino Fiume Chienti BBC 17 128.2 138.1–357.4 3 70.9 38.7–372.5
Lazio  Bacino Idrografico Fiume Sacco b BFS 18 149.9 94.4–237.9 1 26.3 3.7–186.6
Southern Italy and Isles
Campania  Litorale Domizio Flegreo e Agro Aversano b LDF 154 150.0 130.4–180.0 36 105.5 79.5–152.7
 Area Litorale Vesuviano b ALV 133 336.3 281.5–398.5 20 152.7 98.5–236.6
Apulia  Manfredonia MAN 6 90.2 40.5–200.8 1 48.3 6.8–343.2
 Bari - Fibronit BAR 88 271.3 220.2–334.3 35 322.2 231.4–448.8
 Taranto TAR 85 417.0 337.1–515.8 25 355.2 136.0–297.8
 Brindisi BRI 13 154.9 89.9–266.7 3 107.0 34.5–331.7
Basilicata  Aree Industriali Val Basento AVB 7 173.4 82.7–363.8 · · ··
Sicily  Milazzo MIL 11 238.8 132.2–431.2 2 138.1 34.5–552.3
 Gela GEL 14 215.3 127.5–363.5 3 157.7 50.9–489.1
 Biancavilla BIA 9 436.6 227.2–839.1 13 1941.4 1127.3–3343.5
 Priolo PRI 78 447.7 358.6–559.0 18 330.2 208.1–524.1

a Incidence period limited to 2006-2011.

b Incidence period limited to 2001–2011.

Trends in incidence for the period 2000–2011 reveal a peak in 2007 (age-standardized rate: 8.67 and 2.89 per 100 000 inhabitants among men and women, respectively), with a minimum in 2000 for men (5.79), whereas the trend is constant for women. In 2011, age-standardized rates are equal to 7.26 among men and 2.68 among women.

Most of the cases in the NPCS were diagnosed as certain MM (84% and 79% among men and women, respectively, figure 2).

Figure 2

Level of diagnostic certainty for malignant mesothelioma cases in Italian NPCSs in the period 2000-2011, by gender.


An individual questionnaire was used to investigate the modalities of asbestos exposure in 2150 MM cases (80.1% of the whole case list: 81.7% among men and decreasing to 75.6% among women). The amount of non-interviewed subjects vary according to the NPCS, with a decreasing trend from the North to the South of Italy, and non-negligible percentages (from 20% to 50%) in critical NPCS, such as Casale Monferrato, Litorale Domizio Flegreo or Area Litorale Vesuviano (table 2a).

Table 2a

Mesothelioma cases with exposure defined by interview in Italian national priority contaminated sites (NPCS), by gender. See table 1 for complete names.

NPCS Men Women

All Interviewed All Interviewed

N N % N N %
BAL 5 5 100.0 · · ·
CAS 340 272 80.0 248 176 71.0
SER 1 0 0.0 1 · ·
PIV 1 0 0.0 · · ·
CES 31 25 80.6 8 5 62.5
CER 2 2 100.0 1 1 100.0
PIR 11 10 90.9 6 5 83.3
SES 37 37 100.0 18 16 88.9
BRE 50 49 98.0 26 22 84.6
BRO 52 52 100.0 43 43 100.0
LMN 14 14 100.0 7 6 85.7
COS 14 11 78.6 3 2 66.7
PIT 201 199 99.0 30 29 96.7
BOL 4 4 100.0 · · ·
TRE 7 6 85.7 3 3 100.0
VEN 127 120 94.5 36 32 88.9
LGM 15 15 100.0 2 2 100.0
TRI 209 194 92.8 42 32 76.2
FID 11 10 90.9 7 6 85.7
SAS 18 18 100.0 2 1 50.0
MSC 46 45 97.8 10 9 90.0
LIV 113 109 96.5 25 25 100.0
PIO 17 17 100.0 2 2 100.0
ORB 2 2 100.0 1 1 100.0
TER 20 20 100.0 3 3 100.0
FAL 17 16 94.1 1 1 100.0
BBC 17 16 94.1 3 2 66.7
BFS 18 13 72.2 1 · ·
LDF 154 62 40.3 36 12 33.3
ALV 133 71 53.4 20 10 50.0
MAN 6 5 83.3 1 1 100.0
BAR 88 79 89.8 35 31 88.6
TAR 85 77 90.6 25 20 80.0
BRI 13 13 100.0 3 3 100.0
AVB 7 6 85.7 · · ·
MIL 11 10 90.9 2 1 50.0
GEL 14 6 42.9 3 1 33.3
BIA 9 4 44.4 13 10 76.9
PRI 78 18 23.1 18 5 27.8
Total 1998 1632 81.7 685 518 75.6

Among cases evaluated for exposure, an occupational exposure to asbestos has been ascertained for 70.6% of cases from the overall case list, with a significant difference by gender (87% among men and 20% among women). The COR assigned non-occupational exposure (environmental, family and leisure-time related) to 409 cases (19%), with the most being represented by women (55%) (figure 3). In a percentage of MM, asbestos exposure could not be identified on the basis of available information, with different patterns between men (6%) and women (25%). The modalities of asbestos exposure by NPCS for all MM cases included in the analyses are reported in table 2b.

Figure 3

Modalities of asbestos exposure for malignant mesothelioma cases in Italian NPCSs in the period 2000–2011, by gender.

Table 2b

Modalities of asbestos exposure in mesothelioma cases with exposure defined by interview in Italian national priority contaminated sites (NPCS), by gender. See table 1 for complete names.

NPCS Men Women

Work- related Non work- related Unlikely or unknown Work- related Non work- related Unlikely or unknown

N % N % N % N % N % N %
BAL 3 60.0 2 40.0 · · · · · · · ·
CAS 198 72.8 71 26.1 3 1.1 37 21.0 135 76.7 4 2.3
SER · · · · · · · · · · · ·
PIV · · · · · · · · · · · ·
CES 24 96.0 · · 1 4.0 2 40.0 · · 3 60.0
CER 1 50.0 · · 1 50.0 · · · · 1 100.0
PIR 10 100.0 · · · · 2 40.0 1 20.0 2 40.0
SES 34 91.9 1 2.7 2 5.4 4 25.0 1 6.3 11 68.8
BRE 37 75.5 2 4.1 10 20.4 4 18.2 1 4.5 17 77.3
BRO 40 76.9 12 23.1 · · 8 18.6 35 81.4 0 0
LMN 10 71.4 · · 4 28.6 · · · · 6 100.0
COS 9 81.8 · · 2 18.2 1 50.0 · · 1 50.0
PIT 189 95.0 2 1.0 8 4.0 3 10.3 17 58.6 9 31.0
BOL 3 75.0 1 25.0 · · · · · · · ·
TRE 4 66.7 · · 2 33.3 · · 2 66.7 1 33.3
VEN 109 90.8 5 4.2 6 5.0 14 43.8 11 34.4 7 21.9
LGM 14 93.3 · · 1 6.7 · · 2 100.0 · ·
TRI 175 90.2 · · 19 9.8 4 12.5 12 37.5 16 50.0
FID 9 90.0 · · 1 10.0 2 33.3 3 50.0 1 16.7
SAS 16 88.9 · · 2 11.1 1 100.0 · · · ·
MSC 41 91.1 · · 4 8.9 2 22.2 3 33.3 4 44.4
LIV 105 96.3 1 0.9 3 2.8 6 24.0 7 28.0 12 48.0
PIO 16 94.1 1 5.9 · · · · 1 50.0 1 50.0
ORB 2 100.0 · · · · · · · · 1 100.0
TER 20 100.0 · · · · 2 66.7 · · 1 33.3
FAL 14 87.5 1 6.3 1 6.3 · · · · 1 100.0
BBC 14 87.5 · · 2 12.5 · · 1 50.0 1 50.0
BFS 13 100.0 · · · · · · · · · ·
LDF 54 87.1 4 6.5 4 6.5 3 25.0 4 33.3 5 41.7
ALV 63 88.7 5 7.0 3 4.2 2 20.0 4 40.0 4 40.0
MAN 5 100.0 · · · · 1 100.0 · · · ·
BAR 63 79.7 9 11.4 7 8.9 4 12.9 19 61.3 8 25.8
TAR 71 92.2 2 2.6 4 5.2 · · 13 65.0 7 35.0
BRI 13 100.0 · · · · · · 2 66.7 1 33.3
AVB 6 100.0 · · · · · · · · · ·
MIL 7 70.0 2 20.0 1 10.0 · · 1 100.0 · ·
GEL 4 66.7 · · 2 33.3 · · · · 1 100.0
BIA 2 50.0 1 25.0 1 25.0 · · 9 90.0 1 10.0
PRI 16 88.9 1 5.6 1 5.6 1 20.0 2 40.0 2 40.0
Total 1414 86.6 123 7.5 95 5.8 103 19.9 286 55.2 129 24.9

Profiling NPCS by Bayesian rank analysis highlights the firsts positions, consistently on both sexes (figures 4a, 4b). The site of Broni has the worse position for both genders. The sites of Casale Monferrato (both genders), and Biancavilla (only for women), resulted also among the higher positions, followed by the sites of Livorno (5th in men and 7th in women), Taranto (6th in men and 4th in women), Trieste (9th in men and 8th in women). Among the other sites, the degree of overlap of credible intervals is so large that it is impossible to clearly state an ordering by SIR.

Figure 4

Posterior rank estimates and 80% credibility intervals for malignant mesothelioma in Italian NPCSs in the period 2000-2011; (A) men, (B) women.



Through the SENTIERI approach, this study is the first attempt to combine the analyses of health profiles in the NPCS population with individual data from a cancer register (ReNaM), which includes the exposure and anamnestic history of the affected people.

The epidemiological surveillance of the health impact of contamination in NPCS contributes to the definition of priorities for remedial programs and public health interventions, and the SENTIERI project has been developed for this purpose. SENTIERI studied mortality, cancer incidence, and hospital discharge records of residents in NPCS specifically focusing on causes of death for which environmental exposure is suspected or ascertained to play an etiologic role (4). The epidemiological evidence of the causal association between diseases death and environmental exposure was classified a priori into three categories: sufficient (S), limited (L), and inadequate (I). The WHO defined this approach as a first-level stage in the description of the health status of residents in contaminated sites (1).

The systematic surveillance of mesothelioma incidence in Italy by means of a national register, which allows a qualitative assessment of asbestos exposure through the analysis of the entire occupational, residential and family history of each MM case, is an original and substantial experience in the international framework for managing and monitoring asbestos-related diseases (26). The occurrence of asbestos-related diseases in NPCS is relevant considering that in 10 out of 39 NPCS included in this analysis asbestos is one of the contaminants cited in the decrees defining the sites’ boundaries and the sources of pollution. In four sites (Casale Monferrato, Broni, Bari-Fibronit and Biancavilla), asbestos pollution is the only source of health risk identified in the decrees. In the Biancavilla site, the amphibole fluoro-edenite, mined from the local quarries and found in the soil and building materials, has been identified as responsible for the outbreak of mesothelioma observed in the town, as previously discussed (27).

Trends of incidence of mesothelioma in the overall NPCS show high figures among both genders that in 2011 are almost twice that of the national values (16). Such evidence is validated by the inclusion among the NPCS of sites such as Broni, Casale Monferrato, Biancavilla, whose incidence rates are very high due to the presence of important asbestos-cement plants in the first two sites and to the environmental exposure from the presence of a quarry with fluoro-edenite contamination in Biancavilla.

The reliability of diagnosis is similar in NPCS and in the rest of the ReNaM database, where the figures of the three levels of diagnostic certainty (“certain”, “probable”, “possible”) are: 82%, 9%, 9% for men, and 76%, 12%, 12% for women, respectively.

However, some critical limitations in the exposure assessment need to be discussed. The modalities of identifying asbestos exposure are not always fully uniform in the ReNaM network, and the percentage of interviewed subjects varies between 45% and 95% according to the COR, depending on their available resources and knowledge. As a consequence, the level of interviewed subjects in the NPCS is heterogeneous among different areas. It is one of the main limitation of this paper, and regards mainly NPCS such as Casale Monferrato, where the expositive history is certainly significant.

Also the procedures for coding and classifying the diagnosis of MM, established at national level, still lack of homogeneity among the CORs. Another limitation of this study is the use of the municipality of residence (at the time of diagnosis) to allocate the distribution of MM cases, and this is problematic when the subject resides outside the contaminated site where the past working activity was carried out.

Moreover, another limit is represented by the features of the ReNaM, which is designated by order of Italian law to record any mesothelioma case exclusively arising from the pleura, peritoneum, pericardium, and tunica vaginalis testis. No other anatomical sites are included. In perspective the ReNaM should extend the network of recording mesothelioma also to other asbestos-related neoplasms (eg, lung, larynx, ovary) (28).

A significant excess of MM cases has been found in 20 of the 39 NPCS selected for this study (in 9 sites for both men and women, in 11 sites only for men). Remarkably, in 12 of these (60%), asbestos was not included among the sources of pollution by the official decree. These sites were: Cengio e Saliceto, Venezia, Laguna Grado e Marano, Trieste, Falconara Marittima, Livorno, Piombino, Bacino Idrografico Fiume Sacco, Litorale Domizio Flegreo ed Agro Aversano, Taranto, Milazzo, and Gela.

The percentages of “definite”, “probable”, “possible” occupational exposure are 42.5%, 5.2%, and 8.9% respectively in the overall NPCS, corresponding to 38.4%, 5.7%, and 11% in the ReNaM database. The presence of occupational exposure to asbestos in a wide spectrum of economic activities, and not only in industrial settings where asbestos was directly used (asbestos cement plants, asbestos textile production, shipbuilding and repair, rail stock and rail carriage insulation, mining and work with friction products), has been repeatedly demonstrated in Italy (29) and elsewhere (30, 31). Our results support and confirm these findings, demonstrating that asbestos exposure is a relevant public health issue for a relevant number of contaminated sites, also without any mention of asbestos as direct cause of contamination.

In this study, we used 95% CI as opposed to the 90% CI generally applied in the SENTIERI project. That choice was made to show the range of uncertainty for risk estimators, reducing the use of CI as surrogate of hypothesis testing.

Reporting the NPCS ranking allowed a simple and immediate way to summarize the information about the profile of mesothelioma RR among the resident populations. Methodologically, it is important to underline that we provide an estimate of both the rank and its uncertainty. This is not trivial, and the degree of overlap in the CI is able to communicate to the reader the reliability of a given classification.

With regard to the methodology applied, the standardization procedure is motivated by the need to take into account not only the different age structure of the studied populations but also the presence of large-scale geographical variations. The ranking is therefore “relative” to the presence of large-scale geographical patterns. In Italy, the industrialization process included important difference between northern, central and southern regions, and asbestos exposures historically varied accordingly.

We therefore specified age and macro area-specific set of reference rates in order to gain sensitivity in the less industrialized macro areas. By observing the rank, the health impact of asbestos exposure in populations residing in the NPCS with a past history of direct asbestos use [asbestos cement plants (Broni, Casale Monferrato, Bari) or shipyards and harbours areas (Livorno, Taranto, Trieste, Piombino)] and the populations residing in territory with an environmentally diffuse contamination of fluoro-edenite (Biancavilla) emerged clearly (32).

In the present study about 20% of cases had a non-occupational exposure, predominantly among women (apart from Biancavilla, mainly in the sites of Casale Monferrato and Broni). The percentage of MM with a non-identified asbestos exposure is more relevant among women (25%) than men (6%). Such a difference underlines the need for tools investigating the modalities of exposure (ie, questionnaires) for the female population, which is more complex than the male one.

The ReNaM archive recently provided a reliable estimation of 10% of MM due to a non-occupational exposure to asbestos, based on more than 15 845 detected cases, of which 12 065 were individually interviewed (10). With respect to specific non-occupational exposures, the percentages of familial and environmental exposures are slightly higher than the corresponding figures in the ReNaM database for the same period (familial: 8% versus 5%; environmental: 10% versus 4% respectively). Non-occupational exposure to asbestos could be due to (i) naturally occurring contamination, (ii) the presence in residential areas of industrial sites previously involving asbestos use, (iii) the diffuse presence of asbestos industry by-products for insulation and for road and courtyard paving, (iv) cohabitation with exposed people, or (v) the accidental use of asbestos-containing materials. Such non occupational exposures have been analyzed extensively elsewhere (10). These various patterns pose different concerns with respect to the welfare protection framework and deserve special attention. Individuals were especially likely to be unaware of their exposure or of the associated hazard, as in the case of people living around industrial sources of asbestos pollution or with asbestos workers. The lower level of control over certain non-occupational circumstances, associated with the presence of asbestos in-situ, in buildings, make it possible for such exposures to persist. There is a need to discuss how to deal with compensation rights (currently reserved in many countries only for occupationally exposed people) for malignant mesothelioma cases induced by a non-occupational exposure to asbestos.

There is an open issue in Italy regarding MM cases of occupational origin that do not seek compensation (33). Furthermore, around 29% of MM cases due to non-occupational exposure in Italy has been found in NPCS and the percentage of non-occupational cases with respect to all cases investigated for exposure is higher in NPCS than in the ReNaM archive for the same period (19% versus 11% respectively). It is remarkable that recently the compensation of all MM cases, regardless of the modality or different patterns of exposures (naturally occurring contamination, industrial activities involving asbestos use existing in residential areas, cohabitation with exposed people, accidential use of asbestos-containing materials), has been implemented in France (34).

Our analyses confirm that asbestos pollution is a real concern in the NPCS, due not only to the occupational exposure of people working inside industrial plants where asbestos was directly used as a raw material or in workplaces where asbestos was present but also to the environmental exposure. Furthermore, non-occupational exposure to asbestos is largely the predominant cause of female mesothelioma cases in NPCS. A non-negligible proportion of mesothelioma cases identified at national level is concentrated in the NPCS: 16% of the whole ReNaM database (in the period 2000–2011), against an overall NPCS population representing the 9% of the Italian one. Moreover, the detection of significant mesothelioma excesses not only in NPCS, where asbestos is explicitly reported as a source of contamination, but also in a number of areas with other sources of pollution, confirms the wide range of activities and working and living environments affected by asbestos exposure, which are not restricted to the industrial sectors characterized by the direct use of this material.

The evaluation of occupational and environmental risk for people living in polluted areas, and the assessment of the risk produced by industrial settlements, could also be achievable by means of data available from surveillance systems of occupational tumors. The ReNaM-SENTIERI approach underlines the relevant role of such systems in the investigation of the associations between environmental exposures and health effects in polluted sites and reveals how this synergy can be successful for the permanent epidemiologic surveillance of occupational risks in contaminated sites.

In future, the aim is to extend the surveillance beyond mesothelioma to all occupational diseases in the NPCS by using the archives of compensated cases of occupational diseases available at INAIL. As a consequence, a permanent program for the epidemiological surveillance of occupational safety and health could be implemented in these areas where, when integrated with the analysis of environmental risks, results can improve and refine the interpretation of the health profile of populations affected by NPCS.


The authors would like to thank COR staff for data collection and transmission to the ReNaM and Dr. Alberto Scarselli of the Department of Occupational and Environmental Medicine, Epidemiology, Hygiene of INAIL for editing figure 1.

Conflict of interest

The authors declare no conflict of interest.



Pasetto, R, Martin Olmedo, P, & Martuzzi, M. (2013). Contaminated sites and health. Report of two WHO workshops (Syracuse, Italy, 18 November 2011; Catania, Italy, 21-22 June 2012), Copenhagen (Denmark), WHO Regional Office for Europe, Available from: www.euro.who.int/__data/assets/pdf_file/0003/186240/e96843e.pdf.


van Liedekerke, M, Prokop, G, Rabl-Berger, S, Kibblewhite, M, & Louwagie, G. (2014). Progress in the Management of Contaminated Sites in Europe. Reference Report by the Joint Research Centre of the European Commission, Luxembourg, Publications Office of the European Union, Available from: http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/other/EUR26376EN.pdf.


Pirastu, R, Ancona, C, Iavarone, I, Mitis, F, Zona, A, Comba, P, & SENTIERI Working Group SE NTIERI Project. (2010). Mortality study of residents in Italian polluted sites: evaluation of the epidemiological evidence. Epidemiol Prev, 34(5-6 Suppl 3), 1-2, English, Italian Available from: www.epiprev.it/pubblicazione/epidemiol-prev-2010-34-5-6-suppl-3.


Pirastu, R, Pasetto, R, Zona, A, Ancona, C, Iavarone, I, Martuzzi, M, et al. (2013). The health profile of populations living in contaminated sites: SENTIERI approach. J Environ Public Health, 2013, 939267, http://dx.doi.org/10.1155/2013/939267 PubMed.


Comba, P, Ricci, P, Iavarone, I, Pirastu, R, Buzzoni, C, Fusco, M, et al. (2014). ISS-AIRTUM Working Group for the study of cancer incidence in contaminated sites. Cancer incidence in Italian contaminated sites. Ann Ist Super Sanita, 50(2), 186-91.


Marinaccio, A, Binazzi, A, Marzio, DD, Scarselli, A, Verardo, M, Mirabelli, D, et al., & ReNaM Working Group. (2012, May). Pleural malignant mesothelioma epidemic: incidence, modalities of asbestos exposure and occupations involved from the Italian National Register. Int J Cancer, 130(9), 2146-54, PubMed http://dx.doi.org/10.1002/ijc.26229.


Rushton, L, Hutchings, SJ, Fortunato, L, Young, C, Evans, GS, Brown, T, et al. (2012, Jun). Occupational cancer burden in Great Britain. Br J Cancer, 107(Suppl 1), S3-7, PubMed http://dx.doi.org/10.1038/bjc.2012.112.


Rake, C, Gilham, C, Hatch, J, Darnton, A, Hodgson, J, & Peto, J. (2009, Apr). Occupational, domestic and environmental mesothelioma risks in the British population: a case-control study. Br J Cancer, 100(7), 1175-83, http://dx.doi.org/10.1038/sj.bjc.6604879.


Lacourt, A, Gramond, C, Rolland, P, Ducamp, S, Audignon, S, Astoul, P, et al. (2014, Jun). Occupational and non-occupational attributable risk of asbestos exposure for malignant pleural mesothelioma. Thorax, 69(6), 532-9, http://dx.doi.org/10.1136/thoraxjnl-2013-203744.


Marinaccio, A, Binazzi, A, Bonafede, M, Corfiati, M, Di Marzio, D, Scarselli, A, et al., & ReNaM Working Group. (2015, Sep). Malignant mesothelioma due to non-occupational asbestos exposure from the Italian national surveillance system (ReNaM): epidemiology and public health issues. Occup Environ Med, 72(9), 648-55, PubMed http://dx.doi.org/10.1136/oemed-2014-102297</jrn>.


Magnani, C, Dalmasso, P, Biggeri, A, Ivaldi, C, Mirabelli, D, & Terracini, B. (2001, Sep). Increased risk of malignant mesothelioma of the pleura after residential or domestic exposure to asbestos: a case-control study in Casale Monferrato, Italy. Environ Health Perspect, 109(9), 915-9, http://dx.doi.org/10.1289/ehp.01109915.


Musti, M, Pollice, A, Cavone, D, Dragonieri, S, & Bilancia, M. (2009, Mar). The relationship between malignant mesothelioma and an asbestos cement plant environmental risk: a spatial case-control study in the city of Bari (Italy). Int Arch Occup Environ Health, 82(4), 489-97, http://dx.doi.org/10.1007/s00420-008-0358-5.


Mensi, C, Riboldi, L, De Matteis, S, Bertazzi, PA, & Consonni, D. (2015, Jan). Impact of an asbestos cement factory on mesothelioma incidence: global assessment of effects of occupational, familial, and environmental exposure. Environ Int, 74, 191-9, http://dx.doi.org/10.1016/j.envint.2014.10.016.


Dodoli, D, Del Nevo, M, Fiumalbi, C, Iaia, TE, Cristaudo, A, Comba, P, et al. (1992). Environmental household exposures to asbestos and occurrence of pleural mesothelioma. Am J Ind Med, 21(5), 681-7, http://dx.doi.org/10.1002/ajim.4700210508.


Goldberg, M, & Luce, D. (2009, Nov). The health impact of nonoccupational exposure to asbestos: what do we know? Eur J Cancer Prev, 18(6), 489-503, http://dx.doi.org/10.1097/CEJ.0b013e32832f9bee.


Marinaccio, A, Binazzi, A, Bonafede, M, Branchi, C, Corfiati, M, Di Marzio, D, et al. (2015). [Il Registro Nazionale dei Mesoteliomi (ReNaM). Quinto Rapporto]. Rome: INAIL Monograph. (Italian).


Corfiati, M, Scarselli, A, Binazzi, A, Di Marzio, D, Verardo, M, Mirabelli, D, et al. (2015, Apr). ReNaM Working Group. Epidemiological patterns of asbestos exposure and spatial clusters of incident cases of malignant mesothelioma from the Italian national registry. BMC Cancer, 15, 286, http://dx.doi.org/10.1186/s12885-015-1301-2.


Conti, S, Minelli, G, Ascoli, V, Marinaccio, A, Bonafede, M, Manno, V, et al. (2015, Oct). Peritoneal mesothelioma in Italy: trends and geography of mortality and incidence. Am J Ind Med, 58(10), 1050-8, http://dx.doi.org/10.1002/ajim.22491.


Nesti, M, Adamoli, S, Ammirabile, F, Ascoli, V, Barbieri, PG, Cacciarini, V, et al. (2003). Guidelines for the identification and definition of malignant mesothelioma cases and the transmission to Ispesl by Regional Operating centres. Rome: ISPESL Monograph. Available from: https://www.inail.it/cs/internet/docs/renamlineeguida2005-pdf.pdf.


Sahai, H, & Khurshid, A. (1993). Confidence Intervals for the Mean of a Poisson Distribution: A Review. Biometrical J, 35, 857-67, http://dx.doi.org/10.1002/bimj.4710350716.


Rothman, JJ, & Boice, JD. (1979). Epidemiologic Analysis with a Programmable Calculator. Washington DC: US Government Printing Office. NIH Publication. pp. 76-1649.


Catelan, D, Buzzoni, C, Coviello, E, Crocetti, E, Pasetto, R, Pirastu, R, et al. (2014, Mar-Apr). [Risk profiling in cancer surveillance in contaminated sites: an example from the ISS-AIRTUM collaborative study] [Italian.] Epidemiol Prev, 38(2 Suppl 1), 162-70.


Wakefield, J. (2007, Apr). Disease mapping and spatial regression with count data. Biostatistics, 8(2), 158-83, http://dx.doi.org/10.1093/biostatistics/kxl008.


Shen, W, & Louis, TA. (1998). Triple-goal estimates in two-stage hierarchical models. J R Stat Soc B, 60(2), 455-71, http://dx.doi.org/10.1111/1467-9868.00135.


Lunn, DJ, Thomas, A, Best, N, & Spiegelhalter, D. (2000). WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput, 10, 325-37, http://dx.doi.org/10.1023/A:1008929526011.


Ferrante, P, Binazzi, A, Branchi, C, & Marinaccio, A. (2016, Sep-Oct). [National epidemiological surveillance systems of mesothelioma cases]. Epidemiol Prev, 40(5), 336-43.


Comba, P, Gianfagna, A, & Paoletti, L. (2003, Apr). Pleural mesothelioma cases in Biancavilla are related to a new fluoro-edenite fibrous amphibole. Arch Environ Health, 58(4), 229-32, http://dx.doi.org/10.3200/AEOH.58.4.229-232.


Arsenic, metals, fibres, and dusts. (2009, [Accessed 13 September 2017]). volume 100 C. IARC Working Group on the evaluation of Carcinogenic Risks to Humans, Lyon, France, Available from: http://monographs.iarc.fr/ENG/Monographs/ol100C/mono100C-11.pdf.


Binazzi, A, Scarselli, A, Corfiati, M, Di Marzio, D, Branchi, C, Verardo, M, et al., & Gruppo di lavoro ReNaM. (2013, Jan-Feb). Sorveglianza epidemiologica dei mesoteliomi per la prevenzione dell'esposizione ad amianto anche in attivitànon tradizionalmente coinvolte. Epidemiol Prev, 37(1), 35-42.


Whitehouse, AC, Black, CB, Heppe, MS, Ruckdeschel, J, & Levin, SM. (2008, Nov). Environmental exposure to Libby Asbestos and mesotheliomas. Am J Ind Med, 51(11), 877-80, PubMed http://dx.doi.org/10.1002/ajim.20620.


de Klerk, N, Alfonso, H, Olsen, N, Reid, A, Sleith, J, Palmer, L, et al. (2013, Mar). Familial aggregation of malignant mesothelioma in former workers and residents of Wittenoom, Western Australia. Int J Cancer, 132(6), 1423-8, http://dx.doi.org/10.1002/ijc.27758.


Bruno, C, Comba, P, & Zona, A. (2006, Sep). Adverse health effects of fluoro-edenitic fibers: epidemiological evidence and public health priorities. Ann N Y Acad Sci, 1076, 778-83, PubMed http://dx.doi.org/10.1196/annals.1371.020.


Marinaccio, A, Scarselli, A, Merler, E, & Iavicoli, S. (2012, Jul). Mesothelioma incidence surveillance systems and claims for workers'compensation. Epidemiological evidence and prospects for an integrated framework. BMC Public Health, 12, 314, http://dx.doi.org/10.1186/1471-2458-12-314.


Goldberg, M. (2008, May-Jun). Indennizzi per gli esposti all'amianto: il modello francese. Epidemiol Prev, 32(3), 129-31.