Trends in cervical cancer incidence in the United States from 2000-2019

被引:0
作者
Ou, Yu-yi [1 ]
Lin, Zi-Jun [2 ]
Chokkakula, Santosh [3 ,4 ]
Chong, Siomui [5 ]
Xu, Xiaohua [6 ]
Huang, Liying [2 ]
Md, Andrew In-Cheong Si [7 ]
Yong, Jiang [8 ]
Yin, Chengliang [9 ]
Lyu, Jun [2 ]
Huang, Xiao-bin [1 ]
机构
[1] Foshan Women & Children Hosp, Dept Gynecol, Foshan 528000, Guangdong, Peoples R China
[2] Jinan Univ, Affiliated Hosp 1, Dept Clin Res, Guangzhou 510630, Peoples R China
[3] Chungbuk Natl Univ, Coll Med, Dept Microbiol, Chungbuk 28644, South Korea
[4] Med Res Inst Cheongju, Chungbuk 28644, South Korea
[5] Univ Hong Kong, Shenzhen Hosp, Dept Dermatol, Shenzhen, Peoples R China
[6] Shenzhen Univ, Dept Med, Shenzhen, Peoples R China
[7] Clin Wongs, Dept Orthoped, Macau 999078, Peoples R China
[8] Univ Hong Kong, Shenzhen Hosp, Dept Oncol, Shenzhen, Peoples R China
[9] Chinese Peoples Liberat Army Gen Hosp, Med Innovat Res Dept, Beijing 100853, Peoples R China
来源
CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH | 2025年 / 33卷
关键词
Cervical cancer; Incidence trend; Surveillance; Joinpoint analysis; Age-period-cohort model; MORTALITY; PERIOD; AGE; CHALLENGES; PREVENTION;
D O I
10.1016/j.cegh.2025.102002
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: Cervical cancer remains a significant public health issue globally and in the United States (US). Understanding the patterns of disease occurrence and identifying at-risk populations is crucial. This study aimed to assess the impact of age, menstrual cycle, and birth cohort on cervical cancer incidence, with a focus on identifying the most vulnerable demographic groups. Methods: A retrospective cohort analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER) 17 database, which included cervical cancer cases diagnosed between 2000 and 2019. Age-period-cohort (APC) modeling and joinpoint analysis were employed to examine trends in cervical cancer incidence across various age groups, racial categories, tumor stages, and sizes. Age-standardized incidence rates (ASIRs) and their 95 % confidence intervals (CIs) were calculated to assess temporal and demographic variations. Results: Cervical cancer incidence demonstrated a fluctuating trend from 2000 to 2019, with an initial decline followed by a slight increase from 2013 onward. The annual growth rate post-2013 was 0.3 % (95 % CI:- 0.7 %- 1.4 %). Age-specific analysis revealed a significant decrease in incidence for the 20-24 age group and an increase for the 40-44 age group, which reached its peak during the study period. A reduction in incidence was also observed for localized and distant tumor stages, as well as smaller tumors. Conclusion: Between 2000 and 2019, cervical cancer incidence varied across age groups, with individuals aged 40-44 years showing a marked increase in susceptibility. These findings highlight the importance of targeted intervention strategies for vulnerable populations and provide insights into the temporal dynamics of cervical cancer incidence.
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页数:8
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