• SUJATHA INGINSHETTY
• SHWETA.S
• M.N.MEGERI

Background: Breast cancer remains one of the most predominant cancers among women worldwide, significantly impacting public health. Various sociodemographic, lifestyle, and biochemical factors contribute to breast cancer risk. Identifying these factors through statistical modelling aids in early diagnosis and targeted interventions. Aim & Objective: To examine the association between sociodemographic, lifestyle, and biochemical factors with risk of breast cancer among women. Methods: A total of 290 women cancer patients, including 140 with breast cancer and 150 with other cancers were randomly selected. Data were collected using a structured questionnaire covering lifestyle habits, biochemical risk factors, cancer stage, and diagnosis. Statistical analyses were conducted using SPSS software, estimating crude odds ratios and 95% confidence intervals. A binary logistic regression model was utilized to identify significant risk factors. Results: Of the 290 female patients with cancer, 51.7% had different types of cancer and 48.3% had breast cancer. Older age (≥50 years), literacy level, Tobacco consumption, physical inactivity, minimal intake of fruit and vegetable, BMI, cancer stage and elevated CRP/cholesterol levels were strongly associated with the risk of breast cancer. Sleep duration, stress, sugary beverage intake, and red/processed meat consumption showed no significant association. Advanced-stage cases (58.5%) were more common than early-stage cases (29.4%), reinforcing the need for early detection. Conclusion: This study highlights the significant role of age, literacy, lifestyle habits, and biochemical markers in breast cancer risk. Early detection, awareness programs, and preventive strategies are crucial for reducing the burden of breast cancer. The binary logistic regression model effectively determined key risk factors, making it a valuable tool for risk estimation. Further longitudinal research is recommended to evaluate long-term impacts.

Breast cancer, Sociodemographic characteristics, Risk factors, Odds ratio, Binary logistic regression

"Assessment of Sociodemographic, Lifestyle and Biochemical Risk Factors of Breast Cancer using Binary Logistic Regression: A Case Study of Breast Cancer Patients in Kalaburagi City, Karnataka State, India.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.a9-a17, March-2025, Available :http://www.jetir.org/papers/JETIR2503002.pdf

"Assessment of Sociodemographic, Lifestyle and Biochemical Risk Factors of Breast Cancer using Binary Logistic Regression: A Case Study of Breast Cancer Patients in Kalaburagi City, Karnataka State, India.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppa9-a17, March-2025, Available at : http://www.jetir.org/papers/JETIR2503002.pdf