Literature DB >> 1512791

Implications of birth cohort patterns in interpreting trends in breast cancer rates.

R E Tarone1, K C Chu.   

Abstract

BACKGROUND: Most investigations of trends in cancer rates are based on a cross-sectional approach, i.e., an examination of trends in rates by year of diagnosis or death. When there are longitudinal effects (i.e., trends in rates with successive birth cohorts), interpretation of cross-sectional trends can be misleading. Based on cross-sectional comparisons, U.S. breast cancer mortality rates have been reported to be decreasing over the last 20 years in younger women but to be increasing during the same period in older women.
PURPOSE: To examine the impact of longitudinal effects on the divergence of cross-sectional trends in breast cancer mortality with age, we examined breast cancer mortality rates from 1969 to 1988 by birth cohort for White women in the United States.
METHODS: By using a novel, nonparametric, permutational method to analyze 2-year, age-specific mortality rates for women aged 30-89 years, we identified trends in rates with successive birth cohorts.
RESULTS: The divergence in trends with age is shown to be consistent with an increase in breast cancer risk with successive birth cohorts from 1900 to 1916 and with a decrease in breast cancer risk with successive birth cohorts beginning around 1926.
CONCLUSION: Longitudinal effects have a significant impact on cross-sectional trends in breast cancer mortality. IMPLICATIONS: Continuation of the birth cohort trend in younger women, which could correspond to changes in reproductive patterns accompanying the "baby boom," would result in decreasing cross-sectional trends in women 60-69 years of age over the next decade and in women 70-79 years of age in the subsequent decade. Longitudinal effects must be taken into consideration when monitoring and evaluating the effects of early detection, treatment, and intervention programs using national rates.

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Year:  1992        PMID: 1512791     DOI: 10.1093/jnci/84.18.1402

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  18 in total

1.  Changes in pancreatic cancer mortality, period patterns, and birth cohort patterns in Japan: analysis of mortality data in the period 1968-2002.

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2.  Estrogen Receptor Status and the Future Burden of Invasive and In Situ Breast Cancers in the United States.

Authors:  Philip S Rosenberg; Kimberly A Barker; William F Anderson
Journal:  J Natl Cancer Inst       Date:  2015-06-10       Impact factor: 13.506

3.  Age-period-cohort models in cancer surveillance research: ready for prime time?

Authors:  Philip S Rosenberg; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-24       Impact factor: 4.254

4.  Incidence trends for cancers of the breast, ovary, and corpus uteri in urban Shanghai, 1972-89.

Authors:  F Jin; X O Shu; S S Devesa; W Zheng; W J Blot; Y T Gao
Journal:  Cancer Causes Control       Date:  1993-07       Impact factor: 2.506

5.  Improvements in US Breast Cancer Survival and Proportion Explained by Tumor Size and Estrogen-Receptor Status.

Authors:  Ju-Hyun Park; William F Anderson; Mitchell H Gail
Journal:  J Clin Oncol       Date:  2015-07-20       Impact factor: 44.544

6.  Age-period-cohort analysis of cervical cancer incidence in Hong Kong from 1972 to 2001 using maximum likelihood and Bayesian methods.

Authors:  Gabriel M Leung; Pauline P S Woo; Sarah M McGhee; Annie N Y Cheung; Susan Fan; Oscar Mang; Thuan Q Thach; Hextan Y S Ngan
Journal:  J Epidemiol Community Health       Date:  2006-08       Impact factor: 3.710

Review 7.  Nutrition, hormones, and breast cancer: is insulin the missing link?

Authors:  R Kaaks
Journal:  Cancer Causes Control       Date:  1996-11       Impact factor: 2.506

8.  Are incidence rates of adult leukemia in the United States significantly associated with birth cohort?

Authors:  Philip S Rosenberg; Katherine L Wilson; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-12       Impact factor: 4.254

9.  Gender of the first offspring, age at diagnosis, and survival with breast cancer (Utah, United States).

Authors:  D T Janerich; G P Mineau; R A Kerber
Journal:  Cancer Causes Control       Date:  1994-01       Impact factor: 2.506

10.  Age-related crossover in breast cancer incidence rates between black and white ethnic groups.

Authors:  William F Anderson; Philip S Rosenberg; Idan Menashe; Aya Mitani; Ruth M Pfeiffer
Journal:  J Natl Cancer Inst       Date:  2008-12-09       Impact factor: 13.506

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