Objective: to analyze lung cancer mortality trends in Brazil, 2000-2015.
Methods: this was a time series study; lung cancer death records were corrected; linear autoregressive models were used to calculate regression coefficients (β1) and 95% confidence intervals (95%CI) in trend analysis according to sex, in the 30 and over age group, for 19 metropolitan areas (MAs) and the interior regions of 14 Brazilian states; positive β1 indicates upward trends while negative β1 indicates downward trends.
Results: increases were found in males from interior regions of North and Northeastern Brazilian states, especially in Rio Grande do Norte state (β1=1.03 - 95%CI0.47;1.58); downward trends were also found in males, notably in the Porto Alegre MA (β1=-2.55 - 95%CI-2.79;-2.31); the highest increase in females was found in the interior of Ceará state (β1=0.86 - 95%CI0.79;0.92).
Conclusion: differentiated patterns according to location and sex were revealed; cancer control measures should be considered above all for women and the interior regions of Brazil.
Keywords:
Lung Neoplasms; Mortality; Time Series Studies; Mortality Registries; Urban Area
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a) ICD-10: International Statistical Classification of Diseases and Related Health Problems - Tenth Revision.b) Only deaths in excess of 5% having this ICD code as underlying cause were distributed.Source: Scheme adapted from Silva GA et al.

Note: Geographic analysis units in decreasing β1 order.