scholarly journals Birth Cohort Effects Underlying the Increasing Testicular Cancer Incidence in Canada

1999 ◽  
Vol 90 (3) ◽  
pp. 176-180 ◽  
Author(s):  
Shiliang Liu ◽  
Shi Wu Wen ◽  
Yang Mao ◽  
Les Mery ◽  
Jocelyn Rouleau
2007 ◽  
Vol 122 (3) ◽  
pp. 639-642 ◽  
Author(s):  
Rob Verhoeven ◽  
Saskia Houterman ◽  
Bart Kiemeney ◽  
Evert Koldewijn ◽  
Jan Willem Coebergh

2021 ◽  
Author(s):  
Ke Li ◽  
Huan Xu ◽  
Suixiang Wang ◽  
Pengzhe Qin ◽  
Boheng Liang

Abstract Background: Globally cervical cancer incidence rate has been declining continuously. However, an unfavorable trend has been observed in China during the past decades, and the underlying reasons remain unclear. We hereby explore the recent trends of cervical cancer incidence, as well as the underlying determinants using data from Guangzhou, one of biggest cities in China. Methods:City-wide cancer registration data were obtained from the Guangzhou Center for Disease Prevention and Control from 2004 to 2018. We used the Joinpoint regression models to estimate the average annual percentage change (AAPC) of age-standardized and age-specific incidence rates by regions and by histological subtype. Age-period-cohort models were applied to analyze the period and birth cohort effects on the time trends. Results: The age-standardized rates (ASRs) of cervical cancer incidence increased at an annual rate of 2.1% [95% confidence interval (CI): 1.0%-3.2%] during 2004-2018. The largest increase in ASRs was found for rural regions, with AAPC of 6.6% [95% CI: 3.7%-9.5%], followed by the suburbs (2.2% [95% CI: 1.0%-3.4%]), while there was no statistically significant increase in urban regions. The ASRs of adenocarcinoma increased faster than those of the squamous cell carcinoma (AAPC=6.53% [95% CI: 5.0%-8.1%] versus 1.79% [95% CI: 0.8%-2.8%]). A downward trend in urban regions was found in the 20-49 age group, whereas an upward trend was found in the 50+ age group, especially in rural regions. An inverted V-shape was found for cohort effects, with the peak varied by regions, i.e., peaked in the 1966 and 1971 birth cohort in the urban and suburb regions, respectively. Period effects kept increasing during the study period. Conclusions: We systematically examine the disparities in the increases of cervical cancer incidence rates using city-wide data from Guangzhou. Extensive efforts are warranted to address the large urban-rural disparities in cervical cancer prevention. The combined strategies of vaccination, screening, and health education should be reinforced and locally customized.


1996 ◽  
Vol 88 (11) ◽  
pp. 727-733 ◽  
Author(s):  
Reinhold Bergström ◽  
Hans-Olov Adami ◽  
Matthias Möhner ◽  
Witold Zatonski ◽  
Hans Storm ◽  
...  

Apmis ◽  
1998 ◽  
Vol 106 (1-6) ◽  
pp. 225-231 ◽  
Author(s):  
ANDERS EKBOM ◽  
OLOF AKRE

ESMO Open ◽  
2021 ◽  
Vol 6 (5) ◽  
pp. 100240
Author(s):  
S. Yang ◽  
K.W. Yeoh ◽  
M.C.-S. Wong ◽  
O.W.-K. Mang ◽  
L.A. Tse

2015 ◽  
Vol 133 (3) ◽  
pp. 205-213 ◽  
Author(s):  
J.-L. Golmard ◽  
J. Scott ◽  
B. Etain ◽  
M. Preisig ◽  
J.-M. Aubry ◽  
...  

Addiction ◽  
2019 ◽  
Vol 114 (5) ◽  
pp. 836-846 ◽  
Author(s):  
Suvi Virtanen ◽  
Jaakko Kaprio ◽  
Richard Viken ◽  
Richard J. Rose ◽  
Antti Latvala

2021 ◽  
Vol 66 ◽  
Author(s):  
Hang-Hang Luan ◽  
Li-Sha Luo ◽  
Zhi-Yan Lu

Objectives: This study aimed to estimate the long-term trends of breast cancer incidence in Shanghai, Hong Kong, and Los Angeles (LA).Methods: Data were obtained from Cancer Incidence in Five Continents (CI5plus) database. The average annual percent change (AAPC) was conducted by joinpoint regression analysis, and the age, period and cohort effects were estimated by age-period-cohort (APC) analysis.Results: The age-standardized incidence rates (ASIRs) in LA were higher than Shanghai and Hong Kong. During 1988–2012, the ASIRs significantly decreased in white women in LA (AAPC = −0.6%, 95% CI: −0.9% to −0.4%) while increased in Shanghai (2.5%: 2.1%–2.9%) and Hong Kong (2.2%: 2.0%–2.5%). The APC analysis revealed significantly increased effects of age and period, and decreased effect of birth cohort.Conclusion: Although age and cohort effects were relatively strong, the period effect may be the key factor affecting trends of incidence, which may be caused by increasing exposures to carcinogens and risk factors. Therefore, more effective measures should be carried out promptly to protect high-risk populations such as elder women, to avoid exposures to risk factors of breast cancer.


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