Age-period-cohort analysis of lung cancer mortality rates in Andalusia, 1975–2004

Cayuela, Aurelio; Rodríguez-Domínguez, Susana; Lόpez-Campos, José Luís; Vigil, Eduardo

doi:10.1016/j.lungcan.2007.03.015

Cited by 19 publications

(16 citation statements)

References 17 publications

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“…A more recent study carried out in 2008 indicates that 18.9% of men and 11.5% of women aged 15 years or over smoked on a daily basis 28 . The increasing trend in age-adjusted lung cancer mortality rates among women observed by this study is similar to findings of other studies carried out in Brazil and worldwide 4,6,7,8,13,17,29 ; probably reflecting the fact that peak prevalence of smoking among women occurred some years after than in men 12,27 .…”

Section: Discussionsupporting

confidence: 90%

“…Studies of trends in lung cancer mortality indicate significant effects related to the birth cohort 14,17,29 . Cohort-associated risk generally relates to patterns of tobacco use from one generation to the next 24,29,32 .…”

Section: Discussionmentioning

confidence: 99%

“…Cohort-associated risk generally relates to patterns of tobacco use from one generation to the next 24,29,32 . The results of this study are in agreement with such findings.…”

Section: Discussionmentioning

confidence: 99%

“…Preponderance is relatively satisfactory, given that more recent generations have a better knowledge of the etiological factors that contribute to lung cancer so allowing for changes in trends. The solution is appropriate for the case of lung cancer because there were no significant advances in diagnostic techniques, screening programs or treatment during the period studied that could have led to a substantial change in mortality rates 29,32 . On the other hand, effects associated with cohorts reflect processes of exposure to risk factors across the life-course 17 .…”

Section: Discussionmentioning

confidence: 99%

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Trends in lung cancer mortality in Brazil from the 1980s into the early 21st century: age-period-cohort analysis

2012

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

“…Cohort-associated risk generally relates to patterns of tobacco use from one generation to the next 24,29,32 . The results of this study are in agreement with such findings.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Trends in lung cancer mortality in Brazil from the 1980s into the early 21st century: age-period-cohort analysis

2012

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“…Cancer rates are also examined to reveal clues about cancer etiology (8–17), natural history (18–21), and mortality (9, 22–27). Parametric statistical models often play a more prominent role in these studies, especially the age-period-cohort (APC) model (5, 28–33).…”

Section: Introductionmentioning

confidence: 99%

A Web Tool for Age–Period–Cohort Analysis of Cancer Incidence and Mortality Rates

Rosenberg

Check

Anderson

2014

Cancer Epidemiology, Biomarkers &Amp; Prevention

401

336

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Background: Age-period-cohort (APC) analysis can inform registry-based studies of cancer incidence and mortality, but concerns about statistical identifiability and interpretability, as well as the learning curves of statistical software packages, have limited its uptake.Methods: We implemented a panel of easy-to-interpret estimable APC functions and corresponding Wald tests in R code that can be accessed through a user-friendly Web tool.Results: Input data for the Web tool consist of age-specific numbers of events and person-years over time, in the form of a rate matrix of paired columns. Output functions include model-based estimators of cross-sectional and longitudinal age-specific rates, period and cohort rate ratios that incorporate the overall annual percentage change (net drift), and estimators of the age-specific annual percentage change (local drifts). The Web tool includes built-in examples for teaching and demonstration. User data can be input from a Microsoft Excel worksheet or by uploading a comma-separated-value file. Model outputs can be saved in a variety of formats, including R and Excel.Conclusions: APC methodology can now be carried out through a freely available user-friendly Web tool. The tool can be accessed at http://analysistools.nci.nih.gov/apc/.Impact: The Web tool can help cancer surveillance researchers make important discoveries about emerging cancer trends and patterns. Cancer Epidemiol Biomarkers Prev; 23(11); 2296-302. Ó2014 AACR.

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Gender differences in lung cancer mortality trends in Andalusia 1975–2008: a joinpoint regression analysis

Cayuela

Rodríguez-Domínguez²,

Jara‐Palomares

et al. 2011

Med Oncol

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Death rates from lung cancer in men are higher in Andalusia than in other Spanish regions. This study describes lung cancer mortality rates and their trends in Andalusia from 1975 through 2008. Data on lung cancer mortality were obtained from the Death Registry of Andalusia. For each gender, age group-specific and standardized (overall and truncated) rates were calculated by the direct method using the world standard population. Joinpoint regression analysis was used to identify points where a significant change in trends occurred. In men, short-term trends for age-standardized mortality rates (ASMRs) declined significantly from 2004 through 2008 for each age group < 80 years old. In women, the segmented joinpoint analysis showed a decrease from 1975 through 1998 in ASMRs (overall) (-0.6%, P < 0.05), followed by a marked increase (4.6%, P < 0.05). A decrease in male versus female mortality due to lung cancer is evident in Andalusia (Spain).

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Age-period-cohort analysis of lung cancer mortality rates in Andalusia, 1975–2004

Cited by 19 publications

References 17 publications

Trends in lung cancer mortality in Brazil from the 1980s into the early 21st century: age-period-cohort analysis

Trends in lung cancer mortality in Brazil from the 1980s into the early 21st century: age-period-cohort analysis

A Web Tool for Age–Period–Cohort Analysis of Cancer Incidence and Mortality Rates

Gender differences in lung cancer mortality trends in Andalusia 1975–2008: a joinpoint regression analysis

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