Predictive factors of breast cancer mammography screening among Iranian women.

Sahar Mohammadnabizadeh, Ehsan Mosa Farkhani, Nasrin Talkhi
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Abstract

Introduction: Understanding the factors that influence women's cancer screening behavior is crucial in reducing cancer mortality through early detection. Therefore, the objective of this study was to examine the status of mammography and related factors among women who presented to the health centers of Khorasan Razavi province, Iran.

Methods: For this study, a sample of 251,011 women who visited healthcare centers affiliated with Mashhad University of Medical Sciences was selected. The study examined several variables, including sociodemographic information, current smoking, nutrition status, and physical exercise. All analyses were performed using Python programming language and SPSS software. Furthermore, to handle imbalanced data, we used SMOTE balancing method that is an oversampling method and produce synthetic samples from the minority class.

Results: The factors of age, education, being employed, having children, family history of cancer, physical activity, smoking status, and diet were all predictors of mammography screening. Moreover, findings showed that age and family history of breast cancer were most important variables to predict mammography status, respectively.

Conclusions: By examining various variables such as dietary habits, exercise, smoking, and demographic properties, it sheds light on the relationships between these factors and mammography screening. This provides valuable insights into the associations between breast cancer screening behavior and preventive lifestyle behaviors. By targeting both preventive lifestyle choices and breast cancer screening behaviors, interventions can effectively promote positive changes in behavior and ultimately reduce the incidence and impact of breast cancer.

伊朗妇女乳腺癌乳房 X 射线照相筛查的预测因素。
导言:了解影响妇女癌症筛查行为的因素对于通过早期发现降低癌症死亡率至关重要。因此,本研究旨在调查前往伊朗呼罗珊拉扎维省医疗中心就诊的妇女接受乳房 X 射线照相术的情况及相关因素:本研究选取了 251 011 名前往马什哈德医科大学附属医疗中心就诊的妇女作为样本。研究考察了多个变量,包括社会人口学信息、当前吸烟情况、营养状况和体育锻炼。所有分析均使用 Python 编程语言和 SPSS 软件进行。此外,为了处理不平衡数据,我们使用了 SMOTE 平衡法,这是一种超抽样方法,从少数群体中产生合成样本:结果:年龄、教育程度、就业情况、有无子女、癌症家族史、体育锻炼、吸烟情况和饮食习惯都是乳腺 X 光筛查的预测因素。此外,研究结果表明,年龄和乳腺癌家族史分别是预测乳房 X 光检查情况的最重要变量:结论:通过对饮食习惯、运动、吸烟和人口统计特征等各种变量的研究,揭示了这些因素与乳房 X 光摄影筛查之间的关系。这为乳腺癌筛查行为与预防性生活方式行为之间的关联提供了有价值的见解。通过针对预防性生活方式选择和乳腺癌筛查行为进行干预,可以有效促进行为的积极改变,最终降低乳腺癌的发病率和影响。
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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