Dataset of obesity in relation to female-specific cancers in middle eastern countries, 1990 to 2016.

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES
Mojtaba Daneshvar
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引用次数: 0

Abstract

Objectives: Understanding the relationship between obesity and female-specific cancers (FSCs) is crucial for public health planning and policy development. The current data paper presented a dataset that includes obesity prevalence and incidence rates of breast, ovarian, cervical, and uterine cancers among women in Middle Eastern countries. This dataset could be used for time-trend analysis and different forecasting models. Moreover, exploring the relationship between obesity and FSCs is important to develop preventive healthcare services, especially among developing countries.

Data description: The dataset comprises official statistics obtained from reputable sources including the world bank and global burden of disease (GBD) database. The data include a total of 405 observations across 15 middle-eastern countries, from 1990 to 2016. Key variables are obesity prevalence and incidence rate of four major cancers in women including breast cancer, ovarian cancer, cervical cancer, and uterine cancer. This panel data is mainly prepared to investigate the temporal relationship between obesity prevalence and FSC incidence rates, and also performing Counterfactual analysis. Moreover, this data could be utilized for advanced machine learning techniques to estimate future shifts in trend and patterns over time.

1990年至2016年中东国家与女性特定癌症相关的肥胖数据集。
目的:了解肥胖与女性特异性癌症(FSCs)之间的关系对公共卫生规划和政策制定至关重要。目前的数据论文提供了一个数据集,其中包括中东国家妇女的肥胖患病率和乳腺癌、卵巢癌、宫颈癌和子宫癌的发病率。该数据集可用于时间趋势分析和不同的预测模型。此外,探索肥胖和FSCs之间的关系对于发展预防性保健服务非常重要,特别是在发展中国家。数据说明:数据集包括从世界银行和全球疾病负担(GBD)数据库等知名来源获得的官方统计数据。这些数据包括1990年至2016年在15个中东国家进行的405次观测。主要变量是女性的肥胖患病率和四种主要癌症的发病率,包括乳腺癌、卵巢癌、宫颈癌和子宫癌。该面板数据主要用于调查肥胖患病率与FSC发病率之间的时间关系,并进行反事实分析。此外,这些数据可以用于先进的机器学习技术,以估计未来趋势和模式随时间的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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