伊朗军人群体中癌症发病率和死亡人数与健康指标的关系:一项生态学研究

Y. Alimohamadi, S. Afrashteh, M. Janani, A. Khoshdel
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引用次数: 0

摘要

目标:癌症是发展中国家的第二大死因。由于健康指标对癌症等许多疾病的发病率和死亡率有影响,而且在伊朗缺乏类似的研究,特别是在军事群体中,本研究的目的是评估伊朗军事群体中癌症发病率和死亡率与某些健康指标之间的关系。在目前的生态研究中,癌症患者所需的数据来自伊朗MC保险机构的登记病例,其他数据来自伊朗统计中心。Pearson相关系数用于检验被研究变量之间的相关性。所有分析均使用Stata 14软件完成。显著性水平设为α = 0.05。结果:德黑兰、伊斯法罕和呼罗珊拉扎维省报告的癌症发病率和死亡率分别最高。伊朗MC中卫生院数量、活跃卫生院数量、医院数量、诊所数量、医院床位数量、识字死亡人数和癌症发病率之间存在显著相关(P < 0.05)。结论:保健中心和个人受教育程度与癌症发病率和死亡率相关。这些发现可以为卫生规划者和决策者设计干预方案以预防这些疾病的发病率和减轻这些疾病的负担提供非常有用的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of number of incident cases and deaths of cancers with health indicators among Iranian military community: An ecological study
Aims: Cancers are the second leading cause of death in developing countries. Because of the impact of health indicators on incidence and mortality of many diseases such as cancers and the lack of similar studies in Iran especially among the military community (MC) the current study was aimed to assess the association between the incident cases and deaths of cancers with some health indicators among Iranian MC. Materials and Methods: In the current ecological study, the required data about the cancer patients were earned from the registered cases in the insurance organization of the Iranian MC. Other data were extracted from the statistical center of Iran. Pearson correlation coefficient was used to examine the correlation between the under studied variables. All analyses were done using Stata 14 software. The significance level was set at α = 0.05. Results: The most incidence and deaths of cancer cases were reported from Tehran, Isfahan, and Khorasan Razavi provinces, respectively. There was a significant correlation between the number of health houses, active health houses, number of hospitals, number of clinics, number of hospital beds, number of literacy people with death, and incidence case of cancers among Iranian MC ( P < 0.05). Conclusions: Health-care centers and the education status of individuals are associated with cancers incidence and mortality. These findings can be very helpful for health planners and policymakers to designing intervention programs to prevent incidence and decrease the burden of these diseases.
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