Multifunctional Analysis of Lung Cancer Risk-Interactions Between Research Genetic, Environmental, and Lifestyle Factors

Authors

  • Xinyan Wang

DOI:

https://doi.org/10.61173/y1ryvp52

Keywords:

Linear regression analysis, Stepwise regression analysis, Histogram analysis

Abstract

As the core organ of the respiratory system, the lungs maintain acid-base balance through gas exchange, play a defensive role for the organism, and are involved in metabolism and secretion, making them an important organ for sustaining life activities; however, nowadays, there are more and more patients with lung cancer, which is a serious threat to human health. In this study, the researchers investigated the effects of seven factors, namely age, gender, air pollution, smoking, obesity, alcohol use, and dust allergy, on lung cancer by analysing biomedical, environmental, personal behavioural, and lifestyle factors based on the Kaggle dataset (which contains 999 clinical cases) using logistic regression and stepwise regression analyses. The results showed that dust allergy had a significant positive effect on lung cancer risk, while air pollution, obesity, and smoking. The researcher negatively associated, contradicting traditional epidemiological findings. The model explained 53.5% of the variance, emphasising the synergistic effect of environmental and immune abnormalities, warning, and providing a new direction for prevention strategies.

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Published

2025-10-23