Hu Yuning, Yang Suoping
Department of Breast Surgery, The Fifth Affiliated Hospital, Southern Medical University, 566 Congcheng Avenue, Conghua District, Guangzhou, Guangdong, China.
World J Surg Oncol. 2025 Apr 26;23(1):168. doi: 10.1186/s12957-025-03817-y.
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.
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.
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.
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.
在全球范围内,当今女性中最常见的恶性肿瘤是乳腺癌。众多因素影响乳腺癌的发病率;因此,我们研究了女性年龄、体重指数(BMI)、血脂水平与乳腺癌风险之间的关联。
这是一项横断面分析研究。本研究纳入382例经诊断患有乳腺癌的女性患者,以及同期从体检中心选取的11842名年龄匹配的健康女性。首先进行单因素分析,之后将具有统计学显著差异的因素用于构建多因素二元逻辑回归方程。我们探讨了不同年龄、BMI、甘油三酯(TG)和高密度脂蛋白胆固醇(HDL-C)水平与乳腺癌风险之间的关联。
年龄、BMI、TG和HDL-C是与乳腺癌关联最为显著的风险因素。乳腺癌组的年龄、BMI、低密度脂蛋白胆固醇(LDL-C)和TG水平高于对照组,但HDL-C和总胆固醇(TC)水平低于对照组。随着BMI和TG水平升高,患乳腺癌的风险增加,随着HDL-C水平降低,患乳腺癌的风险增加。年龄≥40岁的女性患乳腺癌的风险增加。两组之间的TC和LDL-C水平无显著差异。
在本研究中,HDL-C水平高与较低的乳腺癌风险相关,而BMI和TG水平高与较高的乳腺癌风险相关。年龄≥40岁的女性患乳腺癌的风险增加。