J Smith Torres-Roman1, Virgilio Gomez-Rubio2, Lara Sanchez-Trujillo3, Eva Delgado-Rosas4, Francisco Puche-Vergara5, Jose Miguel Sanz-Anquela3, Miguel Angel Ortega6. 1. Universidad Católica Los Ángeles de Chimbote, Instituto de Investigación, Chimbote, Peru; Maestria en Epidemiología y Bioestadistica, Universidad Cientifica del Sur, Lima, Peru. 2. Department of Mathematics, University of Castilla-La Mancha, Albacete, Spain. 3. Cancer Registry and Pathology Department, Hospital Universitario Principe de Asturias, Alcalá de Henares, Madrid, Spain; Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, Alcalá de Henares, Madrid, Spain. 4. Asociación Frente al Asbesto" (AFA), Lima, Peru. 5. Ecologists in Action, Malaga, Spain. 6. Cancer Registry and Pathology Department, Hospital Universitario Principe de Asturias, Alcalá de Henares, Madrid, Spain; Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, Alcalá de Henares, Madrid, Spain; Ramón y Cajal Institute of Healthcare Research (IRYCIS), Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Alcalá de Henares, Madrid, Spain. Electronic address: miguel.angel.ortega92@gmail.com.
Abstract
BACKGROUND: Peru has a public health problem because of asbestos imports. We analyzed the mortality trends for mesothelioma in Peru and its provinces from 2005 to 2014 and estimated their relationship with the amount of asbestos imported previously. METHODS: We computed age-standardized mortality rates (ASMRs) per 100,000 population (direct method and SEGI world standard population reference), and the standardized mortality ratio (SMR). The relationship between the amount of asbestos imported annually along the period 1965-2010 and the number of mesothelioma deaths per year from 2005 to 2014 was estimated by log-linear Poisson regression models and Pearson correlation calculations. RESULTS: After correcting the number of deaths, Peru registered 428 cases (or 430 when corrected cases are rounded by sex) between 2005 and 2014. The highest ASMRs were in Arequipa and Callao (range: 0.40-0.41/100,000 population), followed by Huancavelica (0.36/100,000 population). This translates into approximately one death per each 68-111 of asbestos tons imported. The latency period for the higher level of positive correlation found was 8 years (r = 0.8). Male female sex ratio was lower in provinces such as Junin and Hunacavelica with geological asbestos risk. CONCLUSIONS: Two patterns of mesothelioma risk have been detected, occupational and environmental. During the 2002-2006 years, Peru increased the asbestos use. If crocidolite imports were also increased, this could be behind the 8 years latency period detected. Peru should boost strategies towards the total ban of all forms of asbestos.
BACKGROUND: Peru has a public health problem because of asbestos imports. We analyzed the mortality trends for mesothelioma in Peru and its provinces from 2005 to 2014 and estimated their relationship with the amount of asbestos imported previously. METHODS: We computed age-standardized mortality rates (ASMRs) per 100,000 population (direct method and SEGI world standard population reference), and the standardized mortality ratio (SMR). The relationship between the amount of asbestos imported annually along the period 1965-2010 and the number of mesothelioma deaths per year from 2005 to 2014 was estimated by log-linear Poisson regression models and Pearson correlation calculations. RESULTS: After correcting the number of deaths, Peru registered 428 cases (or 430 when corrected cases are rounded by sex) between 2005 and 2014. The highest ASMRs were in Arequipa and Callao (range: 0.40-0.41/100,000 population), followed by Huancavelica (0.36/100,000 population). This translates into approximately one death per each 68-111 of asbestos tons imported. The latency period for the higher level of positive correlation found was 8 years (r = 0.8). Male female sex ratio was lower in provinces such as Junin and Hunacavelica with geological asbestos risk. CONCLUSIONS: Two patterns of mesothelioma risk have been detected, occupational and environmental. During the 2002-2006 years, Peru increased the asbestos use. If crocidolite imports were also increased, this could be behind the 8 years latency period detected. Peru should boost strategies towards the total ban of all forms of asbestos.
Authors: J Smith Torres-Roman; Bryan Valcarcel; Jose Fabian Martinez-Herrera; Janina Bazalar-Palacios; Carlo La Vecchia; Luis E Raez Journal: Asian Pac J Cancer Prev Date: 2022-02-01
Authors: J Smith Torres-Roman; Luz Ronceros-Cardenas; Bryan Valcarcel; Miguel A Arce-Huamani; Janina Bazalar-Palacios; Jorge Ybaseta-Medina; Carlo La Vecchia; Christian S Alvarez Journal: BMC Public Health Date: 2021-01-26 Impact factor: 3.295
Authors: J Smith Torres-Roman; Jose Fabian Martinez-Herrera; Greta Carioli; Jorge Ybaseta-Medina; Bryan Valcarcel; Joseph A Pinto; Alfredo Aguilar; Katherine A McGlynn; Carlo La Vecchia Journal: BMC Cancer Date: 2020-12-01 Impact factor: 4.430