在奥斯陆,癌症发病率,阶段和生存率的教育差异
Afaf Al-Rammahy1,2, Elin Anita Fadum3,4, Yngvar Nilssen5
1Department of Behavioural Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway. afafa@uio.no.
Research in health services & regions
|August 23, 2024
概括
在挪威奥斯陆存在癌症差异,低教育地区的肺癌发病率较高,诊断较晚. 高等教育地区的生存率更高,表明需要解决健康不平等问题.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 癌症研究 癌症研究
背景情况:
- 众所周知,社会经济因素,如教育水平,会影响健康结果.
- 了解不同社会经济群体之间的癌症差异对于有针对性的干预至关重要.
- 挪威的奥斯陆提供了一个独特的环境来研究这些差异,因为它有各种各样的地区.
研究的目的:
- 为了研究癌症发病率,诊断阶段和生存率的变化.
- 根据教育水平分类,分析奥斯陆各行政区的这些差异.
- 识别与癌症护理教育相关的潜在健康不平等.
主要方法:
- 利用挪威癌症登记处 (2013-2021) 的综合数据.
- 计算特定癌症 (结肠,直肠,肺,黑色素瘤,乳腺,前列腺) 的年龄标准化发病率和五年相对存活率.
- 在诊断时分类的癌症阶段 (局部,区域,远程,未知) 与乳腺癌的特定阶段 (I-IV阶段).
主要成果:
- 乳腺癌,黑色素瘤和前列腺癌的发病率在中高学历地区更高.
- 在受教育程度低的地区观察到肺癌发病率的增加.
- 低教育程度的地区显示,大多数癌症的远期诊断比例较高,与较低的整体五年相对存活率一起.
结论:
- 在奥斯陆的基于教育的地区之间,癌症发病率,诊断阶段和生存率存在显著差异.
- 这些差异表明在医疗保健获取,护理质量和与健康相关的行为方面存在不平等.
- 解决这些已确定的差异对于改善人口健康结果和实现健康平等至关重要.
相关概念视频
01:21Cancer Survival Analysis
334
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
334
01:20Comparing the Survival Analysis of Two or More Groups
162
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
162
01:03Rous Sarcoma Virus (RSV) and Cancer
5.0K
Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...
5.0K
02:49Cancer Therapies
7.6K
Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
7.6K
01:25Statistical Methods for Analyzing Epidemiological Data
336
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
336