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. 2016 Mar;21(2):82-90.
doi: 10.1007/s12199-015-0501-3. Epub 2015 Dec 21.

High-risk mesothelioma relation to meteorological and geological condition and distance from naturally occurring asbestos

Affiliations

High-risk mesothelioma relation to meteorological and geological condition and distance from naturally occurring asbestos

Abdurrahman Abakay et al. Environ Health Prev Med. 2016 Mar.

Erratum in

Abstract

Objectives: Very few studies have investigated the incidence and risk of malignant mesothelioma (MM) associated with distinct sources of asbestos exposure, especially exposure to naturally occurring asbestos (NOA).

Methods: Subjects were MM, lung, and breast cancer patients who were diagnosed and followed in Diyarbakir Province between 2008 and 2013. The birthplaces of patients were displayed on a geologic map. Geological and meteorological effects on MM were analyzed by logistic regression.

Results: A total of 180 MM, 368 breast, and 406 lung cancer patients were included. The median distance from birthplace to ophiolites was 6.26 km for MM, 31.06 km for lung, and 34.31 km for breast cancer (p < 0.001). The majority of MM cases were seen within 20 km from NOA areas. The MM incidence inside of NOA was 1059/100.000, and out of NOA was 397/100.000; this difference was significant (p = 0.014). The largest concentration of MM residential areas was within ± 30° (34 residential areas 36.6%) of the dominant wind direction. Most MM patients were found in or near the dominant wind direction, especially in the acute angle defined by the dominant wind direction. MM incidence was directly proportional to {[area of NOA (km(2))] * [cosine α of wind direction angle]} and was inversely proportional to the square of the distance (R = 0.291, p = 0.023).

Conclusions: MM was higher near NOA and in the downwind direction. MM incidence and risk were affected by geological and meteorological factors.

Keywords: Incidence; Mesothelioma; Naturally occurring asbestos; Risk; Wind direction.

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Figures

Fig. 1
Fig. 1
Distribution of MM patients on geological map Diyarbakir Province
Fig. 2
Fig. 2
Dominant win direction Diyarbakir Province and calculation of angle
Fig. 3
Fig. 3
a Distribution of breast cancer patients on geological map Diyarbakir Province. b Distribution of lung cancer patients on geological map Diyarbakir Province
Fig. 4
Fig. 4
Result of curve estimation model for MM

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