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J.S. Torres-Roman
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P1.06 - Epidemiology/Primary Prevention/Tobacco Control and Cessation (ID 692)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Epidemiology/Primary Prevention/Tobacco Control and Cessation
- Presentations: 1
- Moderators:
- Coordinates: 10/16/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P1.06-023 - Spatio-Temporal Distribution of Lung Cancer Mortality Rate in Peru: 2005-2014 (ID 10543)
09:30 - 09:30 | Author(s): J.S. Torres-Roman
- Abstract
Background:
Lung cancer still remains as the principal death cause in many regions around the world. Its mortality varies according to the regions and study periods. In Peru it represents the sixth most frequent malignant neoplasm and the fourth cause of cancer related death. We reported the spatial autocorrelation and the temporal variation in lung cancer mortality rate in Peru.
Method:
Data of lung cancer mortality in Peru between 2005-2014 was obtained from the Ministry of Health. Information on the number of inhabitants was obtained from National Institute of Statistics and Informatics. Age standardized mortality rate (ASMR) was calculated based on the 2011 world standard population. Spatial autocorrelation was determined according to Moran’s Index and the Local G Cluster Map to explore the cluster patterns between regions.
Result:
During the study period 16,839 deaths due to lung cancer were reported. The lung cancer mortality rate in Peru increased from an ASMR of 12.8 (95% CI: 11.9-13.7) by 100,000 persons in 2005 to 13.4 (95% CI: 12.5-14.3) in 2014. According to the quartiles, the ASMR was higher in the north, south and east, and lowest in others regions. The spatial distribution of the ASMR showed a significant spatial autocorrelation (Moran´s I: p = 0.025). Also, during the study period, the ASMR showed a significant increase and decrease in some regions and in others it was constant.
Conclusion:
In Peru, lung cancer mortality rate showed a spatial and temporal variation in different regions. The increase in mortality rate in some regions requires identification of risk factors in order to establish public measures to reduce the risk of lung cancer mortality.