A cross-sectional study of serum lipids, body mass index and age relationships with breast cancer risk.

BACKGROUND

Globally, the most common malignancy in women today is breast cancer. Numerous factors affect the incidence of breast cancer; therefore, we examined the connections involving age, body mass index (BMI), serum lipid levels, and breast cancer risk in women.

METHODS

This was a cross-sectional analytical study. 382 female patients with a breast cancer diagnosis in this study, and 11842 healthy, age-matched females who were selected from physical examination centers in the same period. Univariate analysis was conducted first, after which factors with statistically significant differences were used to construct a multi-factor binary logistic regression equation. We explored associations across different ages, BMI, triglyceride (TG), and high-density lipoprotein-cholesterol (HDL-C) levels, and breast cancer risk.

RESULTS

Age, BMI, TG, and HDL-C were the risk factors that showed the most significant association with breast cancer. Age, BMI, low-density lipoprotein-cholesterol (LDL-C) and TG levels in the breast cancer group were higher than those in the control group, but HDL-C and total cholesterol (TC) levels were lower. As BMI and TG levels increased, the risk of developing breast cancer increased, and, as HDL-C levels decreased, the risk of developing breast cancer increased. Women aged ≥ 40 years old had an increased breast cancer risk. There were no significant variations in TC and LDL-C levels between groups.

CONCLUSIONS

In this study, a lower risk of breast cancer was linked to high HDL-C levels, while a higher risk of breast cancer was linked to high BMI and TG levels. Women aged ≥ 40 years old had an increased breast cancer risk.