Literature DB >> 10444041

Risk assessment of lung cancer and mesothelioma in people living near asbestos-related factories in Taiwan.

H Y Chang1, C R Chen, J D Wang.   

Abstract

Estimates from environmental risk assessments are criticized by professionals who indicate that inaccuracies occur in exposure assessment, model selection, and determination of the population at risk. In the current study, we tackled the aforementioned issues and estimated the risks of lung cancer and mesothelioma caused by airborne asbestos among individuals who lived near asbestos factories in Taiwan. We conducted 8-h full-period samplings upwind and downwind from each factory, and we used transmission-electronic microscopy (10,000x) and phase-contrast microscopy to determine asbestos concentrations in and around each factory. We estimated the numbers of residents who lived in concentric circles of 200-m, 400-m, and 600-m diameters around each factory. A dose-response model for asbestos-induced lung cancer was adopted from a summary of seven epidemiological studies. The asbestos-mesothelioma models were patterned after the first-exposure-effect models developed by Peto and Finkelstein. The data obtained from phase-contrast microscopy significantly overestimated the risk, compared with transmission-electronic microscopy. The estimates we calculated from adopting the arithmetic mean were approximately 2-fold higher than those we calculated with the geometric mean. There were relatively low concentrations of asbestos in the study areas, thus causing an absence of a significant difference in risk estimates between different models for mesothelioma. Among the more than 20,000 residents who lived near 41 asbestos factories in Taiwan, we found that the numbers of expected excess deaths from lung cancer and mesothelioma were 5 and less than 1, respectively. We concluded that in future risk assessments for ambient asbestos exposure, investigators should adopt transmission-electronic microscopy and the geometric mean estimate. Moreover, Taiwan should enhance asbestos-control programs to assure the safety of residents who live near asbestos factories.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10444041     DOI: 10.1080/00039899909602259

Source DB:  PubMed          Journal:  Arch Environ Health        ISSN: 0003-9896


  5 in total

1.  Measurement of asbestos emissions associated with demolition of abandoned residential dwellings.

Authors:  Richard L Neitzel; Stephanie K Sayler; Avery H Demond; Hannah d'Arcy; David H Garabrant; Alfred Franzblau
Journal:  Sci Total Environ       Date:  2020-03-21       Impact factor: 7.963

2.  Increased Standardised Incidence Ratio of Malignant Pleural Mesothelioma in Taiwanese Asbestos Workers: A 29-Year Retrospective Cohort Study.

Authors:  Cheng-Kuan Lin; Yu-Ying Chang; Jung-Der Wang; Lukas Jyuhn-Hsiarn Lee
Journal:  Biomed Res Int       Date:  2015-07-28       Impact factor: 3.411

3.  Transnational Dynamics Amid Poor Regulations: Taiwan's Asbestos Ban Actions and Experiences.

Authors:  Harry Yi-Jui Wu; Ro-Ting Lin; Jung-Der Wang; Yawen Cheng
Journal:  Int J Environ Res Public Health       Date:  2017-10-17       Impact factor: 3.390

4.  Clustering of malignant pleural mesothelioma in asbestos factories: a subgroup analysis in a 29-year follow-up study to identify high-risk industries in Taiwan.

Authors:  Lukas Jyuhn-Hsiarn Lee; Cheng-Kuan Lin; Chih-Hong Pan; Yawen Cheng; Yu-Yin Chang; Saou-Hsing Liou; Jung-Der Wang
Journal:  BMJ Open       Date:  2018-12-09       Impact factor: 2.692

5.  Development of Nationwide Excess Lifetime Cancer Risk Evaluation Methods with Comprehensive Past Asbestos Exposure Reconstruction.

Authors:  Dongmug Kang; Seung Ho Lee; Yoon Ji Kim; Tae Kyoung Kim; Ju Young Kim; Youngki Kim
Journal:  Int J Environ Res Public Health       Date:  2021-03-10       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.