Jinyao Wang1, Zhiqiang Bai2, Xudong Gao3, Nianping Zhang4, Zhenkun Wang5. 1. Public Health Teaching Center, Department of Medicine, Shanxi Datong University, Xingyun Road, Datong 037009, China. 2. School of Life Sciences, Shanxi Datong University, Xingyun Road, Datong 037009, China. 3. School of Health Science and Nursing, Wuhan Polytechnic University, Hubei Wuhan 430023, China. 4. Department of Medicine, Shanxi Datong University, Xingyun Road, Datong 037009, China. 5. Party Committee Organization Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Abstract
BACKGROUND: As the second most common gynecologic cancer worldwide, cervical cancer has led to morbidity and mortality in thousands of women. Our study is aimed at comparing the long-term trends of mortality rates for cervical cancer in three high-income countries-Canada, Korea, and Italy-and analyzing the detached effects of chronological age, time period, and birth cohort by age-period-cohort (APC) analysis. METHODS: Joinpoint regression was used in this study, and the age-period-cohort model combined with the intrinsic estimator method was also applied to estimate the detached effect of each age, time period, and birth cohort on cervical cancer mortality. RESULTS: For the overall trends of ASMRs for cervical cancer, the rates for Canada and Italy generally decreased during the whole observation periods while the rate for Korea exhibited a significant increase from 1986 to 2003. The APC analysis suggested that the cancer mortality risks consistently increased with age in the age groups including women aged 20 to 50 years in all areas. The period effect exhibited a general upward trend for both Korea and Italy, while a decreased trend was observed for Canada during the whole observation period. The mortality risk generally decreased with birth cohort, except there was a slight increase for younger generations in the three countries. CONCLUSIONS: Our study shows that the overall decrease in the cohort effect may have contributed to the reduced mortality rate for Italy and Canada, and the increased period effects and cohort effect in younger generations may have led to the increase in cancer mortality rate for Korea.
BACKGROUND: As the second most common gynecologic cancer worldwide, cervical cancer has led to morbidity and mortality in thousands of women. Our study is aimed at comparing the long-term trends of mortality rates for cervical cancer in three high-income countries-Canada, Korea, and Italy-and analyzing the detached effects of chronological age, time period, and birth cohort by age-period-cohort (APC) analysis. METHODS: Joinpoint regression was used in this study, and the age-period-cohort model combined with the intrinsic estimator method was also applied to estimate the detached effect of each age, time period, and birth cohort on cervical cancer mortality. RESULTS: For the overall trends of ASMRs for cervical cancer, the rates for Canada and Italy generally decreased during the whole observation periods while the rate for Korea exhibited a significant increase from 1986 to 2003. The APC analysis suggested that the cancer mortality risks consistently increased with age in the age groups including women aged 20 to 50 years in all areas. The period effect exhibited a general upward trend for both Korea and Italy, while a decreased trend was observed for Canada during the whole observation period. The mortality risk generally decreased with birth cohort, except there was a slight increase for younger generations in the three countries. CONCLUSIONS: Our study shows that the overall decrease in the cohort effect may have contributed to the reduced mortality rate for Italy and Canada, and the increased period effects and cohort effect in younger generations may have led to the increase in cancer mortality rate for Korea.
Authors: Carol E Levin; Monisha Sharma; Zachary Olson; Stéphane Verguet; Ju-Fang Shi; Shao-Ming Wang; You-Lin Qiao; Dean T Jamison; Jane J Kim Journal: Vaccine Date: 2015-03-12 Impact factor: 3.641