大韩民国 2015 年至 2030 年按激素和生殖因素估算的女性癌症人口归因比例。

IF 4.1 2区 医学 Q2 ONCOLOGY Cancer Research and Treatment Pub Date : 2024-11-19 DOI:10.4143/crt.2024.707
Youjin Hong, Soseul Sung, Woojin Lim, Sungji Moon, Kwang-Pil Ko, Jung Eun Lee, Inah Kim, Sun Ha Jee, Sun-Seog Kweon, Min-Ho Shin, Sangmin Park, Seung-Ho Ryu, Sun Young Yang, Jeongseon Kim, Sang-Wook Yi, Yoon-Jung Choi, Jeong-Soo Im, Hong Gwan Seo, Sue K Park
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引用次数: 0

摘要

目的:一些国家对荷尔蒙和生殖因素的人口可归因分数(PAFs)进行了估算。国际癌症研究机构将乳腺癌、卵巢癌、子宫内膜癌和子宫颈癌中的荷尔蒙因素指定为第 1 组和第 2A 组致癌物质。本研究旨在估算导致韩国女性癌症发病和死亡的激素/生殖因素的PAFs,并预测2015年至2030年的趋势:根据 2005 年的标准化发病率和 2020 年的发病率和死亡人数,以 15 年的潜伏期估算 PAF。根据列文公式,患病率是通过韩国国民健康与营养调查(KNHANES)计算得出的,而相对风险(RRs)则是通过对韩国女性人群的研究进行荟萃分析估算得出的,即与口服避孕药、激素替代疗法和母乳喂养持续时间相关的特定女性癌症风险。作为敏感性分析,还计算了基于亚洲和全球人口的研究结果:在 1 192 个病例中,激素的 PAFs 估计值为 1.02%,在 3 112 个病例中,生殖的 PAFs 估计值为 2.67%。此外,在与女性相关的癌症死亡病例中,PAF 依次为 0.40%(125 例死亡)和 1.09%(342 例死亡)。在激素因素中,EP 联合 HRT 所占比例最高,在生殖因素中,母乳喂养所占比例最高。此外,乳腺癌在激素和生殖因素中所占比例最高:通过这项研究,鼓励避免使用口服避孕药(OCs)和激素替代疗法(HRT)以及在生殖因素中母乳喂养 6 个月以上,将分别降低 1.02% 和 2.67% 的女性癌症发病率。此外,在本研究选定的四种女性癌症中,观察到乳腺癌的预防水平很高。
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Estimation of Population Attributable Fraction by Hormone and Reproductive Factors on Female Cancer in the Republic of Korea, 2015 to 2030.

Purpose: Population attributable fractions (PAFs) for hormone and reproductive factors have been estimated in several countries. IARC designated as Group 1 and Group 2A carcinogen for hormone factors in breast, ovarian, endometrial and uterine cervix cancer. This study aimed to estimate the PAFs of hormone/reproductive factor attributed to cancer incidence and deaths in Korean women and projected trends from 2015 to 2030.

Materials and methods: The PAF was estimated with using the 2005 standardized prevalence rates and 2020 incidence and deaths with a 15-year latency. Based on the Levin's formula, prevalence rates were calculated using the Korea National Health and Nutrition Examination Survey (KNHANES) and the relative risks (RRs), which were the risk of selected female cancer associated with oral contraceptive, hormone replacement therapy and duration of breastfeeding, were estimated from the meta-analysis of studies performed in Korean women population. Studies based on the Asian and Global populations were calculated as a sensitivity analysis.

Results: The estimation PAFs for hormone was 1.02% with 1,192 cases and reproductive was 2.67% with 3,112 cases. Moreover, 0.40% (125 deaths) and 1.09% (342 deaths) in female-related cancer deaths in order. EP combined HRT accounted the most proportion in hormone factors and breastfeeding in reproductive factors. Also, the breast cancer had the highest percent in both hormone and reproductive factors.

Conclusion: Through this study, 1.02% and 2.67% of female-related cancer incidence will be reduced by encouraging avoiding the use of oral contraceptives (OCs) and hormone replacement therapy (HRT) and breastfeeding for more than 6 months in reproductive factors. Additionally, among four selected female cancers in this study, breast cancer was observed to be a significant level of prevention.

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来源期刊
CiteScore
8.00
自引率
2.20%
发文量
126
审稿时长
>12 weeks
期刊介绍: Cancer Research and Treatment is a peer-reviewed open access publication of the Korean Cancer Association. It is published quarterly, one volume per year. Abbreviated title is Cancer Res Treat. It accepts manuscripts relevant to experimental and clinical cancer research. Subjects include carcinogenesis, tumor biology, molecular oncology, cancer genetics, tumor immunology, epidemiology, predictive markers and cancer prevention, pathology, cancer diagnosis, screening and therapies including chemotherapy, surgery, radiation therapy, immunotherapy, gene therapy, multimodality treatment and palliative care.
期刊最新文献
The Era of Antibody Drug Conjugates in Lung Cancer: Trick or Threat? Evaluating the Effects of Mindfulness-Based Self-Help via an OTT Platform on Breast Cancer Patients Undergoing Radiotherapy: A Prospective Non-Randomized Controlled Trial. Estimation of Population Attributable Fraction by Hormone and Reproductive Factors on Female Cancer in the Republic of Korea, 2015 to 2030. Machine Learning-Based Prognostic Gene Signature for Early Triple Negative Breast Cancer. Association of Pro-inflammatory Cytokines with Gastric Cancer Risk: A Case-Cohort Study.
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