Fang Liyuan, Li Xiaotong, Fang Yuhang, Wang Yan, Wang Runxi, Xie Yi, Zhang Ying
Department of Oncology, Guang'anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, China.
Department of Surgery, Shanghai University of Traditional Chinese Medicine Affiliated Putuo Central Hospital, Shanghai, China.
Front Nutr. 2024 Sep 13;11:1449643. doi: 10.3389/fnut.2024.1449643. eCollection 2024.
This study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016.
We employed multiple logistic regression analysis to investigate the relationship between WWI and risk of gynecologic cancers. Subsequent subgroup analyses were performed on specific populations of interest. A restricted cubic spline model was used to explore potential non-linear relationships. Additionally, the effectiveness of WWI in predicting sarcopenia was assessed through Receiver Operating Characteristic (ROC) curve analysis. K-fold cross-validation was applied for model assessment.
Among the 4,144 participants, 98 self-reported having gynecologic cancers. In the fully adjusted model, WWI was significantly associated with the prevalence of gynecologic cancers (OR = 1.38, 95% CI: 1.02-1.88, = 0.0344). Our findings indicate a linear positive association between WWI and the risk of gynecologic cancers. Subgroup analysis revealed that WWI had the strongest association with cervical cancer (OR = 1.46, 95% CI: 0.97-2.18, = 0.0354) and endometrial cancer (OR = 1.39, 95% CI: 0.81-2.39, = 0.0142). No significant association was found between WWI and the risk of ovarian cancer (OR = 1.16, 95% CI: 0.48-2.72, = 0.5359). Restricted cubic spline analysis confirmed a linear relationship between WWI and the risk of cervical, endometrial, and ovarian cancers. ROC curve analysis demonstrated that WWI had superior predictive capability for gynecologic cancers.
Elevated levels of WWI were significantly associated with an increased risk of gynecologic cancers in American women, displaying a stronger association than other obesity markers. Therefore, WWI may serve as a distinct and valuable biomarker for assessing the risk of gynecologic cancers, particularly cervical and endometrial cancers.
本研究旨在利用2011年至2016年美国国家健康与营养检查调查(NHANES)收集的数据,分析体重调整腰围指数(WWI)与妇科癌症风险之间的关联。
我们采用多元逻辑回归分析来研究WWI与妇科癌症风险之间的关系。随后对特定感兴趣人群进行亚组分析。使用受限立方样条模型来探索潜在的非线性关系。此外,通过受试者工作特征(ROC)曲线分析评估WWI预测肌肉减少症的有效性。采用K折交叉验证进行模型评估。
在4144名参与者中,98人自述患有妇科癌症。在完全调整模型中,WWI与妇科癌症患病率显著相关(OR = 1.38,95%CI:1.02 - 1.88,P = 0.0344)。我们的研究结果表明WWI与妇科癌症风险呈线性正相关。亚组分析显示,WWI与宫颈癌(OR = 1.46,95%CI:0.97 - 2.18,P = 0.0354)和子宫内膜癌(OR = 1.39,95%CI:0.81 - 2.39,P = 0.0142)的关联最强。未发现WWI与卵巢癌风险之间存在显著关联(OR = 1.16,95%CI:0.48 - 2.72,P = 0.5359)。受限立方样条分析证实了WWI与宫颈癌、子宫内膜癌和卵巢癌风险之间的线性关系。ROC曲线分析表明,WWI对妇科癌症具有卓越的预测能力。
WWI升高与美国女性妇科癌症风险增加显著相关,其关联强度高于其他肥胖指标。因此,WWI可能是评估妇科癌症风险,尤其是宫颈癌和子宫内膜癌风险的一种独特且有价值的生物标志物。