An investigation covering 86 municipalities in the jurisdiction of the Public Prosecutor's Office of Avellino, carried out with the Istituto Superiore di Sanita, has mapped potential environmental contamination and compared health indicators across local communities.
The work catalogued 296 sites with potential environmental contamination, including industrial facilities, waste-management sites, and areas affected by illegal disposal. About 51% of the population in the study area lived within one kilometre of at least one catalogued site.
The headline result is geographic: health differences rise with the study's environmental-risk class, with the highest-risk communities showing higher lung-cancer mortality and higher cancer incidence than the lowest-risk communities. The results describe associations at community level. They do not provide conclusions about individual residents.
What the investigation covered
The study area comprised 86 municipalities falling under the Avellino Prosecutor's Office. It was based on collaboration between the Procura and the Istituto Superiore di Sanita, Italy's national health institute.
Researchers combined an environmental census with population and health data. The environmental side counted and characterised potentially contaminated sites. The health side examined mortality, hospitalisation, and cancer incidence for the area as a whole and by municipality group.
Across the full 86-municipality area, overall mortality, hospitalisation, and cancer incidence were generally in line with or below regional reference values. The differences emerged when municipalities were grouped by environmental pressure: some municipality-level excesses increased with the environmental-risk class.
296 sites and the one-kilometre measure
The environmental census identified 296 sites with potential contamination. The sources describe industrial facilities, waste-management sites, and areas affected by illegal disposal among the site types.
A central exposure proxy was residential proximity: approximately 51% of the population lived within one kilometre of at least one catalogued site.
The environmental-risk indicator combined two elements: the type and potential hazard of the sites, and the share of residents living within one kilometre of them. Municipalities were then classified into six increasing environmental-risk classes.
Avellino, Atripalda, and Solofra were placed in the highest environmental-risk class, class 6.
Health findings by risk class
The comparison that drew the most attention contrasts the highest-risk class with the lowest-risk class. Compared with class 1, class 6 showed:
- 21% higher lung-cancer mortality
- 17% higher incidence of all malignant cancers
- 25% higher breast-cancer incidence among women
Those figures compare groups of municipalities, not named individuals. The sources underline that the findings concern communities, not individual people.
Human biomonitoring data added a further, limited signal. The data were available only for some municipalities, covered a limited number of people, and were not representative of the entire study area. In higher-risk municipalities, average levels of furans and some industrial metals were higher.
How to read these numbers
It helps to separate three questions the study addresses.
First, where is potential environmental pressure concentrated? The answer is the site census and the proximity measure: 296 sites, half the population within one kilometre of at least one site, and Avellino, Atripalda, and Solofra in class 6.
Second, do health indicators vary with that pressure? The answer is yes at group level: class 6 exceeds class 1 for the three indicators above, and some excesses rise across the six classes.
Third, did contamination cause those differences in any particular case? The study does not answer that. The reported associations do not establish that environmental contamination caused the observed health differences. The sources describe possible causal or co-causal contributions alongside other risk factors.
What this does not mean
A higher-risk class is not a diagnosis for residents, and a lower-risk class is not a guarantee of safety. Community-level analysis can reveal patterns worth investigating while saying nothing about any one person's exposure, habits, occupation, family history, or medical outcome.
The biomonitoring results also cannot be generalised to the whole 86-municipality area because coverage was limited to some municipalities and a limited number of people.
Other technical details remain unavailable in the sources used here: the complete municipality-by-municipality dataset, confidence intervals, and adjustment details for potential confounders were not provided. The underlying final technical report and its complete methodology were not directly acquired; the findings rest on two local-press reports of the presentation.
What comes next is still open
The sources do not specify the future investigative, environmental, and public-health actions resulting from the study.
For readers in Irpinia, the practical meaning is therefore twofold. The study gives authorities a ranked map — sites catalogued, population proximity measured, and three municipalities in the top class — and it gives residents a reason to follow official follow-up rather than draw personal conclusions from group percentages alone.
